1 Introduction

According to the measurements from type Ia supernovae [1] the Universe is experiencing an accelerated expansion due to an unknown “Dark Energy” source, that was introduced in the standard cosmological model to account for \(68\%\) of the energy content of the universe [2]. Measurements of anisotropies of the cosmic microwave background (CMB) from experiments including the WMAP [3] and Planck [4] satellites, have provided strong support for the standard \(\varLambda \)CDM model of cosmology where \(\varLambda \) is a cosmological constant. However, there are some tensions with local measurements of the Hubble expansion rate from supernovae Ia [5] and other cosmological data [6], that settled this model under question mark. A very well-known issue of \(\varLambda \)CDM model is that the energy density comprised in a cosmological constant \(\varLambda \) has to be fine-tuned by \(\sim ~55\) orders of magnitude to account for the present acceleration [7]. Therefore, various attempts to explain the cosmic acceleration within general relativity (GR) were proposed as alternatives to \(\varLambda \)CDM, as well as several alternatives that abandon GR and modify the Einstein–Hilbert action. Within the last group, a very interesting alternative is the so-called Einstein–æther theory, which is an effective field theory in which the Hilbert action is modified by the introduction of a dynamical timelike unit vector field, \(u^{a}\), the æther, which is covariantly coupled, at Lagrangian level, up to the second order derivatives of the spacetime metric \(g_{ab}\), excluding total derivatives. The unitarity is imposed by introducing a Lagrangian multiplier in action. This theory has some features that make it of interest to mathematicians, physics, and to cosmologists. These are: (a) it violates the Lorentz invariance, but preserves locality and covariance; (b) it has some imprints on the inflationary scenery; (c) it satisfies conditions for linearized stability, positive energy, and vanishing of preferred-frame post-Newtonian parameters; (d) for generic values of the coupling constants, the æther and the metric isotropizes (although for large angles or large angle derivatives of the tilt angle there is a runaway behavior in which the anisotropies increases with time, and some singularities may appear); and (e) every hypersurface-orthogonal Einstein æther solution is a Hořava solution, etc., see, e.g., [8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55].

Einstein–æther theory has applications in various anisotropic and inhomogeneous contexts. In [16] it was implemented the 1+3 orthonormal frame formalism, adopting the comoving æther gauge, to obtain evolution equations in normalized variables, which are suitable for numerical calculations and for phase space analyzes. Spatially homogeneous Kantowski-Sachs models were studied. e.g., in [9, 16, 42, 54, 56]. In [9] the scalar field interacts to both the æther field expansion and shear scalars through the potential. The stability against spatially curvature and anisotropic perturbations was studied. The late-time attractor of the theory is the vacuum de-Sitter expansionary phase. Static metrics for non-tilted a perfect fluid with linear and polytropic equations of state, and with a scalar field with exponential or monomial potentials, were studied in [15, 16, 43]. Other solutions were examined elsewhere: vacuum Bianchi Type V [50]; Friedmann–Lemaître–Robertson–Walker metric (FLRW) [47, 49]; a Locally Rotationally Symmetric (LRS) Bianchi Type III [49]; modified scalar field cosmology with interactions between the scalar field and the æther [46] based on Einstein–æther theories by [17, 40]. An emphasis was set on the issue of the existence of solutions of the reduced equations, the classification of the singularities, and the stability analysis.

These theories are different from scalar–tensor theories, and they are similar to the particle creation, bulk viscosity, and varying vacuum theories, or varying-mass dark matter particles theories [57,58,59,60,61,62,63,64]. In [65] the Einstein–æther theory which incorporates a scalar field nonminimally coupled to the æther through an effective coupling \(B\left( \phi \right) = 6 B_0 \phi ^2\) [40] was studied. It was found there are five families of scalar field potentials on the form \(V_{A}\left( \phi \right) =V_{0}\phi ^{p}+V_{1}\phi ^{r}\), where pr are specific constants, which lead to Liouville–integrable systems, and which admit conservation laws quadratic in the momenta. Following an analogous strategy in [66] were determined exact and analytic solutions of the gravitational field equations in Einstein–æther scalar model field with a Bianchi I background space with nonlinear interactions of the scalar field with the æther field. Conservation laws for the field equations for specific forms of the unknown functions such that the field equations are Liouville integrable were derived. Furthermore, the evolution of the anisotropies was studied by determining the equilibrium points and analyzing their stability.

This paper is the third of a series of works devoted to Einstein–æther theory with perfect fluids and scalar fields. In paper I [15], the field equations in the Einstein–æther theory for static spherically symmetric spacetimes and a perfect fluid source, and subsequently with the addition of a scalar field (with exponential self-interacting potential) were investigated. Appropriate dynamical variables which facilitate the study of the equilibrium points of the resulting dynamical system were introduced. In addition, the dynamics at infinity was discussed. The qualitative properties of the solutions are of particular interest, as well as their asymptotic behavior and whether they admit singularities. A number of new solutions were presented. Continuing this line, in paper II [43] the existence of analytic solutions for the field equations in the Einstein–æther theory for a static spherically symmetric spacetime was investigated. A detailed dynamical system analysis of the field equations was provided.

This paper is focused on the study of timelike self-similar (TSS) spherically symmetric models with perfect fluid and/or scalar fields, using the covariant decomposition \(1+3\) [16, 67,68,69]. This formalism is well-suited for performing qualitative and numerical analysis. TSS spherically symmetric models are characterized by a 4-dimensional symmetric homothetic group \(H_4\) acting multiply transitively on 3-dimensional timelike surfaces.

This paper is organized as follows. In Sect. 2 the \(1+3\) orthonormal frame formalism is summarized. In Sect. 3 the action for the Einstein–æther Theory is presented, following [13, 27, 31]. In Sect. 4, TSS spherically symmetric models with perfect fluid are studied using the covariant decomposition \(1+3\) [16, 69], following the approach given in [67]. In Sect. 5 different stability conditions of the equilibrium solutions of dynamical systems will be established. Numerical methods will be used to support and validate the analytical results. In Sect. 6 a non-homogeneous scalar field \(\phi (t,x)\) with potencial \(V(\phi (t,x))\) which satisfies the symmetry of the conformally static metric [70] is studied. The \(\theta \)-normalization procedure will be implemented in Sect. 7. An exhaustive analysis (analytical or numerical) of the stability conditions is provided for some particular cases. Section 8 is devoted to conclusions.

2 The \(1+3\) orthonormal frame formalism

In the \(1+3\) orthonormal frame formalism [16, 68, 69] the metric can be expressed as:

$$\begin{aligned} ds^2=-N^2dt^2+(e_1{}^1)^{-2}dx^2+(e_2{}^2)^{-2}(d\vartheta ^2+\sin ^2 \vartheta d\varphi ^2), \end{aligned}$$
(1)

where \(N, e_1{}^1\) and \(e_2{}^2\) are functions of t and x.

The killing vector fields are given by [71]:

$$\begin{aligned} \partial _{\varphi },\quad \cos {\varphi } \partial _{\vartheta }-\sin {\varphi } \cot {\vartheta } \partial _{\varphi },\quad \sin {\varphi } \partial _{\vartheta }+\cos {\varphi } \cot {\vartheta } \partial _{\varphi }. \end{aligned}$$
(2)

The frame vectors written in coordinate form are:

$$\begin{aligned} {\mathbf {e}}_0=N^{-1}\partial _t,\quad {\mathbf {e}}_1=e_1{}^1\partial _x,\quad {\mathbf {e}}_2=e_2{}^2\partial _{\vartheta },\quad {\mathbf {e}}_3=e_3{}^3\partial _{\varphi }. \end{aligned}$$
(3)

where \(e_3{}^3=e_2{}^2/ \sin {\vartheta }.\)

Therefore, the kinematic variables are restricted by:

$$\begin{aligned} \sigma _{\alpha \beta }= & {} \text {diag}(-2\sigma _+,\sigma _+,\sigma _+),\quad \omega _{\alpha \beta }=0,\nonumber \\ {\dot{u}}_\alpha= & {} ({\dot{u}}_1,0,0), \end{aligned}$$
(4)

where

$$\begin{aligned} {\dot{u}}_1={\mathbf {e}}_1 \ln {N}. \end{aligned}$$
(5)

The spatial commutators are given by:

$$\begin{aligned} a_{\alpha }=(a_1,a_2,0),\quad n_{\alpha \beta =}\begin{pmatrix} 0 &{} 0 &{} n_{13}\\ 0 &{} 0 &{} 0 \\ n_{13} &{} 0 &{} 0 \end{pmatrix}, \end{aligned}$$
(6)

where

$$\begin{aligned} a_1={\mathbf {e}}_{1} \ln {e_2{}^2},\quad a_2=n_{13}=-\frac{1}{2}e_2{}^2\cot {\vartheta }. \end{aligned}$$
(7)

There are restrictions over the matter components:

$$\begin{aligned} q_{\alpha }=(q_1,0,0),\quad \pi _{\alpha \beta }=diag(-2\pi _+,\pi _+,\pi _+). \end{aligned}$$
(8)

The frame rotation \(\varOmega _{\alpha \beta }\) is zero. The cosmological constant is chosen to be 0 for simplicity.

The quantity \(n_{13}\) only appears in the equations together with \({\mathbf {e}}_2 n_{13}\) through the Gauss spatial curvature of the 2-spheres:

$$\begin{aligned} {}^2K:=2({\mathbf {e}}_2-2n_{13})n_{13}, \end{aligned}$$
(9)

which is simplified to:

$$\begin{aligned} {}^2K=(e_2{}^2)^2. \end{aligned}$$
(10)

Hence, the dependence on \(\vartheta \) does not appears explicitly in the equations. The quantity \({}^2K\) is used instead of \(e_2{}^2\) to write the field equations. The spatial curvatures simplify to:

$$\begin{aligned} {}^3S_{\alpha \beta }=\text {diag}(-2\; {}^3S_+,{}^3S_+,{}^3S_+), \end{aligned}$$
(11a)

with \({}^3R\) y \({}^3S_+\) defined by:

$$\begin{aligned} {}^3R=4{\mathbf {e}}_1a_1-6a_{1}^2+2\; {}^2K, {}^3S_+=-\frac{1}{3}{\mathbf {e}}_1a_1+\frac{1}{3}{}^2K. \end{aligned}$$
(11b)

The components of the Weyl curvature are simplified to:

$$\begin{aligned} E_{\alpha \beta }=\text {diag}(-2E_+,E_+,E_+), \quad H_{\alpha \beta }=0, \end{aligned}$$
(12)

with \(E_+\) given by:

$$\begin{aligned} E_+=H\sigma _+ + \sigma _{+}^2+{}^3S_+ -\frac{1}{2}\pi _+. \end{aligned}$$
(13)

Using the following simplifications,

$$\begin{aligned} {}^2K=K,\quad {\dot{u}}_1={\dot{u}},\quad a_1=a, \end{aligned}$$

the essential variables are:

$$\begin{aligned} N,\quad e_1{}^1,\quad K,\quad H,\quad \sigma _+,\quad a,\quad \mu ,\quad q_1,\quad p,\quad \pi _+, \end{aligned}$$
(14)

and the auxiliary variables are

$$\begin{aligned} {}^3 K,\quad {}^3 S_+,\quad {\dot{u}}. \end{aligned}$$
(15)

The field equations are written as:

$$\begin{aligned} {\mathbf {e}}_0 e_1{}^1&= (-H+2\sigma _+)e_1{}^1\end{aligned}$$
(16a)
$$\begin{aligned} {\mathbf {e}}_0 K&= -2(H+\sigma _+)K \end{aligned}$$
(16b)
$$\begin{aligned} {\mathbf {e}}_0 H&= -H^2-2\sigma _{+}^2 + \frac{1}{3}({\mathbf {e}}_1+{\dot{u}}-2a){\dot{u}}-\frac{1}{6}(\mu +3p) \end{aligned}$$
(16c)
$$\begin{aligned} {\mathbf {e}}_0 \sigma _+&= -3H\sigma _+-\frac{1}{3}({\mathbf {e}}_1+{\dot{u}}+a){\dot{u}}-{}^3S_+ +\pi _+ \end{aligned}$$
(16d)
$$\begin{aligned} {\mathbf {e}}_0 a&= (-H+2\sigma _+)a-({\mathbf {e}}_1+{\dot{u}})(H+\sigma _+) \end{aligned}$$
(16e)
$$\begin{aligned} {\mathbf {e}}_0 \mu&= -3H(\mu +p)-({\mathbf {e}}_1+2{\dot{u}}-2a)q_1-6\sigma _+\pi _+ \end{aligned}$$
(16f)
$$\begin{aligned} {\mathbf {e}}_0 q_1&= (-4H+2\sigma _+)q_1-{\mathbf {e}}_1p-(\mu +p){\dot{u}}\nonumber \\&\quad +2({\mathbf {e}}_1+{\dot{u}}-3a)\pi _+ \end{aligned}$$
(16g)

The restrictions are the Gauss and Codazzi equations together with the definition of a:

$$\begin{aligned} 0&= 3H^2+\frac{1}{2}{}^3R-3\sigma _{+}^2-\mu , \end{aligned}$$
(17a)
$$\begin{aligned} 0&= -2{\mathbf {e}}_1(H+\sigma _+)+6a\sigma _+ +q_1, \end{aligned}$$
(17b)
$$\begin{aligned} 0&= ({\mathbf {e}}_1-2a)K, \end{aligned}$$
(17c)

where the spatial curvatures are given by:

$$\begin{aligned} {}^3R=4{\mathbf {e}}_1a-6a^2+2K, \quad {}^3S_+=-\frac{1}{3}{\mathbf {e}}_1 a+\frac{1}{3}K. \end{aligned}$$
(18a)

Afterwards, the lapse function N is provided specifying the time gauge and, since there are not evolution equations for p and \(\pi _+\), they should be specified by the fluid model through equations of state for p and the transport equation for \(\pi _+\).

3 Einstein–æther gravity

The action for the Einstein–æther Theory is the most general covariant functional involving partial derivatives of order at most two (not including total derivatives) of the space-time metric \(g_{ab}\) and a vector field \(u^a\), called æther [13, 27, 31] given by:

(19)

where:

(20)

is the Einstein–æther lagrangian [31] with:

$$\begin{aligned} K^{a b}{}_{c d}\equiv c_{1}g^{a b}g_{c d} + c_{2} \delta _{c}^{a}\delta _{d}^{b} + c_{3}\delta _{d}^{a} \delta _{c}^{b} + c_{4}u^{a}u^{b}g_{c d}. \end{aligned}$$
(21)

That action contains the Einstein–Hilbert term \( \frac{1}{2}R\), wherein: R denotes the Ricci scalar, \(g_{a b}\) denotes the metric tensor, and \(K^{a b}{}_{c d}\) is a tensor of four indices corresponding to the kinetic terms of the æther. It contains four dimensionless constants \(c_{i}\) and M is the Lagrange multiplier that forces unitarity of the æther vector, \(u^{c}u_{c }=-1\). That is, \(u_{c}\) is a timelike vector [27]. The signature of the metric \(g_{ab}\) is \(({-}{+}{+}{+})\). Physical units are such that \(c=1, \kappa ^2\equiv 8\pi G=1,\) where c is the speed of light.

The field equations of the Einstein–æther theory accounts for [17, 36]:

  • The effects of anisotropy and inhomogeneities (e.g., curvature) on the geometry of the spherically symmetric models under consideration.

  • The contribution from the energy–momentum tensor of the æther field, which depends on the dimensionless parameters \( c_i, i=1, \ldots 4\). In General Relativity all \( c_i = 0 \), hence the Einstein’s field equations are generalized. To study the effects of matter, the values corresponding to General Relativity, or values close to them, can be substituted.

  • When studying the phenomenology of theories within a preferred framework, and particularly, in the isotropic and spatially homogeneous universe, it is generally assumed the æther field will be aligned with the cosmic frame (natural resting frame preferred by the CMB) and therefore is related to the expansion rate of the universe.

  • In principle, in spherically symmetric models the preferred frame determined by the æther can be different (that is, tilted) to the CMB rest frame. This adds additional terms to the energy–momentum tensor of the æther , for example, an hyperbolic angle of tilt, v, which measures the æther boost with respect the CMB rest frame [14, 40]. In homogeneous but spatially anisotropic models, it is expected that the hyperbolic inclination angle v will decay along with its derivative as \(t\rightarrow +\infty \) [72, 73].

All spherically symmetric æther fields are hypersurface– orthogonal. Therefore, all spherically symmetric solutions of the æther theory will also be solutions in the infrared limit of Hořava gravity. The opposite is not true in general, but it is true for solutions with spherical symmetry with regular center [31]. When spherical symmetry is imposed, the æther is hypersurface-orthogonal, and it has zero twist. Therefore, without loss of generality it is possible to make \( c_4 \) zero [31]. After redefining parameters to remove \( c_4 \), the parameter space is 3-dimensional. The \( c_i \) contributes to the effective Newtonian gravitational constant G. Then a parameter \( c_i \) can be specified to make \( 8 \pi G = 1 \). The remaining two parameters characterize two non-trivial physical quantities, for example, the Schwarzschild mass and radius of a matter distribution. The other restrictions imposed on the \( c_i \) are summarized in [31] and in equations 43–46 in [10].

The field equations obtained by variation of (19) with respect to \(g^{ab}\), \(u^a\), and M are respectively given by [26]:

$$\begin{aligned} {G_{ab}}= & {} {T^{TOT}_{ab}} \end{aligned}$$
(22a)
$$\begin{aligned} M {u_b}= & {} {\nabla _a} {{J^a}_b}+ c_4 {\dot{u}}_a \nabla _b u^a \end{aligned}$$
(22b)
$$\begin{aligned} {u^a}{u_a}= & {} -1, \end{aligned}$$
(22c)

where \(G_{ab}\) is the Einstein tensor of the metric \(g_{ab}\), \({T^{TOT}_{ab}}\) is the total energy–momentum tensor, , where \(T^{mat}_{ab}\) is the total contribution of matter. \(T^{mat}_{ab}\) will be omitted for the moment (and will be added later for models with perfect fluid and with scalar field), starting with vacuum case (\(\mathscr {{L}}_m=0\)). The quantities \({J^a}_b,\ {{\dot{u}}_a}\) and the æther energy–momentum tensor are given by:

$$\begin{aligned} {{J^a}_m}&= -{{K^{ab}}_{mn}}{\nabla _b}{u^n} \end{aligned}$$
(23a)
$$\begin{aligned} {\dot{u}_a}&= {u^b}{\nabla _b}{u_a}, \end{aligned}$$
(23b)
(23c)

Taking the contraction of (22b) with \(u^b\) and with the induced metric \(h^{b c}:= g^{b c}+u^b u^c\) the following equations are obtained:

$$\begin{aligned}&M = - u^b \nabla _a J^a_b-c_4 {\dot{u}}_a {\dot{u}}^a, \end{aligned}$$
(24a)
$$\begin{aligned}&0 = h^{b c}\nabla _a J^a_b + c_4 h^{b c} {\dot{u}}_a \nabla _b u^a. \end{aligned}$$
(24b)

Equation (24a) is used as the definition of the Lagrange multiplier. The second system of equations give compatibility conditions that the æther vector must satisfy.

4 Timelike self-similar spherically symmetric perfect fluid models

In the diagonal homothetic formulation, the line element can be written in diagonal form, where one of the coordinates adapts to the homothetic symmetry [74]:

$$\begin{aligned} d{\tilde{s}}^2&= e^{2 t} ds^2 = e^{2 t}\Big [- b_1^{-2}(x) dt^2 + dx^2 \nonumber \\&\quad +b_2^{-2}(x) (d\vartheta ^2 + \sin ^2 (\vartheta ) d\varphi ^2)\Big ]. \end{aligned}$$
(25)

For the conformally static metric with line element given by (25), the following scalars can be defined:

$$\begin{aligned} \theta&=\frac{\sqrt{3}}{3}\left( 2\alpha -\beta \right) , \quad \sigma = \frac{\sqrt{3}}{3}\left( -\alpha + 2 \beta \right) , \nonumber \\ \alpha&=3\widehat{\beta ^0}, \quad \beta = 3\widehat{\beta ^+}, \quad b_1^{-1}=e^{\beta ^0-2\beta ^+}, \quad b_2^{-1}=e^{\beta ^0+\beta ^+}, \end{aligned}$$
(26)

where \(\widehat{...}\) denotes the derivative with respect to the spatial variable x. The quantities \(\alpha \) and \(\beta \) are respectively the expansion scalar and the shear scalar of the normal congruence to the symmetry surface of the static universe \(\left( {\mathscr {M}}, d{s}^2\right) \), conformally related to the physical spacetime \(\left( {\mathscr {M}}, d {{\tilde{s}}}^2\right) \) through the homothetic factor \(e^{2 t}\). A non-tilted æther vector \({\mathbf {u}}=e^{-t }b_1 \partial _t\) is considered.

Assuming that the matter content of the physical universe \(\left( {\mathscr {M}}, d{\tilde{s}}^2\right) \) is a perfect fluid, that is specified by a 4-velocity vector field \({\mathbf {v}}\) given by \({\mathbf {v}} = \varGamma e^{-t }(-b_1 \partial _t + v \partial _x),\quad \varGamma = (1-v^2)^{-\frac{1}{2}}\), where v is the tilt parameter, which is a funtion of x, with \(-1\le v \le 1\). The equation of state parameter \(p = (\gamma -1) \mu , \quad 1 \le \gamma < 2\) is chosen for the perfect fluid (unless otherwise stated). By convenience a function that depends only on x: \(\mu _t=\frac{e^{-2 t } \left( (\gamma -1) v^2+1\right) \mu }{1-v^2}\) is defined, which represents the energy density of the fluid measured by an observer associated with the homothetic symmetry. On the other hand, if the content of matter is that of a non-homogeneous scalar field, \( \phi (t, x) \), with its self-interaction potential \(V(\phi (t, x)) \), these must respect the homothecy of the conformally static symmetry associated with the line element (25), so they have to be of the form [70]: \( \phi (t,x)=\psi (x)-\lambda t, \quad V(\phi (t,x))= e^{-2 t} U(\psi (x))\), \(U(\psi )=U_0 e^{-\frac{2 \psi }{\lambda }}\), where by convenience it is assumed \(\lambda >0\), such that for \(\psi >0\), \(U\rightarrow 0\) as \(\lambda \rightarrow 0\), which restrict the kind of scalar field potentials to be considered.

Using the metric (25), the lagrangian (20) becomes:

$$\begin{aligned} {\mathscr {L}}_{u} = \frac{1}{3} e^{-2 t} \left( ( c_{1}- c_{4}) {\sigma }^2-9 b_{1}^2 ( c_{1}+3 c_{2}+ c_{3})\right) . \end{aligned}$$
(27)

The Lagrange multiplier (24a) is calculated as:

$$\begin{aligned} M&=-3 e^{-2 t}b_1^2 (c_{1}+c_{2}+ c_{3}) \nonumber \\&\quad -\frac{1}{3} e^{-2 t} {\sigma }({\sigma }(- c_{1}+ c_{3}+2 c_{4})+2 c_{3} {\theta }) -\frac{ c_{3} e^{-2 t} \widehat{{\sigma }}}{\sqrt{3}}. \end{aligned}$$
(28)

The æther Eq. (24b) is reduced to:

$$\begin{aligned} {e^{-t} b_{1} {\sigma } (2 c_{1}+3 c_{2}+ c_{3}- c_{4})}=0. \end{aligned}$$
(29)

The trace of the intrinsic Ricci 3-curvature of the spatial 3-surfaces orthogonal to \({\mathbf {u}}\) is given by

$$\begin{aligned} {}^{*} R =-\frac{2}{3} e^{-2 t} \left( -3 b_{2}^2+2 \sqrt{3} \left( \widehat{ {\theta }}+\widehat{ {\sigma }}\right) +3 ( {\theta }+ {\sigma })^2\right) . \end{aligned}$$
(30)

Now the æther parameters are re-defined as [35]: \(c_\theta = c_2 + (c_1 + c_3)/3,\ c_\sigma = c_1 + c_3,\ c_\omega = c_1 - c_3,\ c_a = c_4 - c_1\), corresponding to terms in the Lagrangian relative to expansion, shear scalar, acceleration and twist of the æther. To impose the condition of the æther (24b) is taken \(c_a = 3 c_{\theta } \), \( (2 c_ {1} +3 c_ {2} + c_ {3} - c_ {4}) = 0\). Therefore, the parameter space is reduced to a constant, \( c_\theta \).

The æther energy–moment tensor can be expressed by:

(31)

\(\mu = c_{\theta } \left( 9 b_1^2-4 {\theta } {\sigma }-2 \sqrt{3} \widehat{ {\sigma }}-3 {\sigma }^2\right) , p = \frac{1}{3} c_{\theta } \left( 9 b_1^2- {\sigma }^2\right) \),

\(q = -2 \sqrt{3} b_1 c_{\theta } {\sigma }, \pi = -\frac{2}{3} c_{\theta } {\sigma }^2\) are the effective energy density, isotropic pressure, energy flux, and anisotropic pressure of the æther, measured by an observer associated with the homothetic symmetry in the static universe \(\left( {\mathscr {M}}, d{s}^2\right) \); therefore, depending only on x.

The matter energy–momentum tensor is given by:

$$\begin{aligned}&{T^{m}}_{a}^{b}\nonumber \\&\quad = e^{-2 t} \left( \begin{array}{cccc} \mu _{t} &{} -\frac{\gamma v \mu _{t}}{(\gamma -1) v ^2+1} &{} 0 &{} 0 \\ -\frac{ \gamma v \mu _{t}}{(\gamma -1) v ^2+1} &{} \frac{ \left( v ^2+\gamma -1\right) \mu _{t}}{(\gamma -1) v ^2+1} &{} 0 &{} 0 \\ 0 &{} 0 &{} -\frac{ (\gamma -1) \left( v ^2-1\right) \mu _{t}}{(\gamma -1) v ^2+1} &{} 0 \\ 0 &{} 0 &{} 0 &{} -\frac{ (\gamma -1) \left( v ^2-1\right) \mu _{t}}{(\gamma -1) v ^2+1} \\ \end{array} \right) . \end{aligned}$$
(32)

Using the Einstein equations, the Jacobi identities and the contracted Bianchi identities, a system of ordinary differential equations for the frame vectors and the comutation functions, and an extra equation for the æther are obtained. The comoving gauge is chosen for æther; leaving as a degree of freedom a reparametrization of the spatial variables and the temporal variable.

The final equations are:

Propagation equations:

$$\begin{aligned} \widehat{ {\theta }}&=-\sqrt{3} b_{2}^2-\frac{ {\sigma }\left( 2 C_2 {\sigma }+ {\theta }\right) }{\sqrt{3}}-\frac{\sqrt{3} \gamma \mu _{t} v^2}{(\gamma -1) v^2+1}, \end{aligned}$$
(33a)
$$\begin{aligned} \widehat{ {\sigma }}&=-\frac{ {\sigma } (2 {\theta }+ {\sigma })}{\sqrt{3}}+\frac{\sqrt{3} \mu _{t} \left( 2-3 \gamma +(\gamma -2) v^2\right) }{2 C_2 \left( (\gamma -1) v^2+1\right) }, \end{aligned}$$
(33b)
$$\begin{aligned} \widehat{b_1}&= \frac{b_1 {\sigma }}{\sqrt{3}}, \end{aligned}$$
(33c)
$$\begin{aligned} \widehat{b_2}&= -\frac{b_2 ( {\theta }+ {\sigma })}{\sqrt{3}}, \end{aligned}$$
(33d)
$$\begin{aligned} {\widehat{v}}&= \frac{\left( 1-v^2\right) }{\sqrt{3} \gamma \left( 1-\gamma +v^2\right) } \Big \{ \gamma v (2 (\gamma -1) \theta +\gamma \sigma ) \nonumber \\&\quad +\sqrt{3} b_1\left( (\gamma -1) (3\gamma -2)+(\gamma -2) v^2\right) \Big \}. \end{aligned}$$
(33e)

Equation for \(\mu _t\):

$$\begin{aligned} \mu _t= \frac{\left( (\gamma -1) v^2+1\right) }{3 \left( 1-\gamma -v^2\right) }\left( C_2 \left( 3 b_1^2+\sigma ^2\right) +3 b_2^2-\theta ^2\right) , \end{aligned}$$
(34)

Auxiliary equation:

$$\begin{aligned} \widehat{\mu _{t}}&=\frac{\mu _{t}}{\sqrt{3} \left( \gamma -v^2-1\right) \left( (\gamma -1) v^2+1\right) } \nonumber \\&\quad \times \Big \{ \gamma \left( \sigma +(\gamma -1) v^4 (2 \theta +\sigma )-v ^2 ((4 \gamma -6) \theta +\gamma \sigma )\right) \nonumber \\&\quad +2 \sqrt{3} b_1 v \left( (7-3 \gamma ) \gamma +(\gamma (2 \gamma -5)+4) v^2-4\right) \Big \}. \end{aligned}$$
(35)

Restriction:

$$\begin{aligned} \gamma \mu _{t} v-\frac{2 C_2 b_1 \sigma \left( (\gamma -1) v^2+1\right) }{\sqrt{3}}=0. \end{aligned}$$
(36)

To simplify the notation the following parameters are introduced \(C_1=1-2c_\sigma , C_2=1+3c_\theta ,C_3=1+c_a\), such that by choosing \(C_1=1, C_2=1, C_3=1,\) General Relativity is recovered. The condition \(c_a = 3 c_{\theta }\), implies \(C_2=C_3\), and the parameter \(C_1\) does not appears explicitly in the equations, only on the definition of the Lagrange multiplier.

For an ideal gas with \(\gamma =1\) the matter energy–momentum tensor is simplified to:

$$\begin{aligned} {T^{m}}_{a}^{b}= e^{-2 t} \left( \begin{array}{cccc} \mu _{t} &{} - \mu _{t} v &{} 0 &{} 0 \\ - \mu _{t} v &{} \mu _{t} v^2 &{} 0 &{} 0 \\ 0 &{} 0 &{} 0 &{} 0 \\ 0 &{} 0 &{} 0 &{} 0 \\ \end{array} \right) , \end{aligned}$$
(37)

where v measures the inclination of the fluid relative to the 4-velocity of the æther. The equations reduce to

$$\begin{aligned} {\widehat{\theta }}&= -\sqrt{3} b_2^2-\frac{\sigma \left( 2 C_2 \sigma +\theta \right) }{\sqrt{3}}-\sqrt{3} \mu _{t} v^2, \end{aligned}$$
(38a)
$$\begin{aligned} {\widehat{\sigma }}&= -\frac{\sqrt{3}\mu _{t}\left( v^2+1\right) }{2 C_2}-\frac{\sigma (2 \theta +\sigma )}{\sqrt{3}}, \end{aligned}$$
(38b)
$$\begin{aligned} \widehat{b_1}&= \frac{b_1 \sigma }{\sqrt{3}}, \end{aligned}$$
(38c)
$$\begin{aligned} \widehat{b_2}&= -\frac{b_2 (\theta +\sigma )}{\sqrt{3}}, \end{aligned}$$
(38d)
$$\begin{aligned} \widehat{\mu _t}&= \mu _{t}\left( \frac{v^2 (\sigma -2 \theta )-\sigma }{\sqrt{3} v^2}-2 b_1 v\right) , \end{aligned}$$
(38e)
$$\begin{aligned} {\widehat{v}}&= b_1 \left( v^2-1\right) -\frac{\sigma \left( v^2-1\right) }{\sqrt{3} v}, \end{aligned}$$
(38f)

with restrictions

$$\begin{aligned}&\mu _{t} v-\frac{2 C_2 b_1 \sigma }{\sqrt{3}}=0, \end{aligned}$$
(39a)
$$\begin{aligned}&-C_2 \left( 3 b_1^2+\sigma ^2\right) -3 b_2^2+\theta ^2-3 \mu _{t} v^2=0. \end{aligned}$$
(39b)

\(C_2 = 1\) needs to be set to recover General Relativity . For this reason is natural to consider \(C_1 ={\mathscr {O}}(1)\), meanwhile it can be assumed \(C_2>0\). The restriction \(\frac{\left( \gamma v^2-v^2+1\right) }{\gamma +v^2-1}\ge 0\) is imposed. That is, \(0<\gamma \le 1, 1-\gamma \le v^2\le 1\), or \(1<\gamma <2, -1\le v\le 1\). Due to the usual energy condition for the fluid, which is expressed as \( 1<\gamma <2 \), the second condition is satisfied. Together with the energy condition \( \mu _t \ge 0 \), lead to

$$\begin{aligned} C_2 \left( 3 b_1^2+\sigma ^2\right) +3 b_2^2 \le \theta ^2. \end{aligned}$$
(40)

By hypothesis \(C_2>0\), \(\theta ^2\) is the dominant quantity, and the terms on the left hand side of the above inequality are both non-negative. This suggests to considering \(\theta \)-normalized equations.

5 \(\theta \)-normalized equations

In this section four specific models will be studied by using the following normalized variables,

$$\begin{aligned} {\varSigma } =\frac{\sigma }{\theta },\quad A=\frac{\sqrt{3} b_1}{\theta },\quad K=\frac{3 b_2^2}{\theta ^2},\quad {\varOmega }_t =\frac{3\mu _t}{\theta ^2}, \end{aligned}$$
(41)

and the radial coordinate

$$\begin{aligned} f'=\frac{df}{d \eta } := \frac{\sqrt{3}{\widehat{f}}}{\theta }. \end{aligned}$$

A parameter r is defined in analogous way to the “Hubble gradient parameter” r, by

$$\begin{aligned}&{\widehat{\theta }}=-r {\theta }^2, \end{aligned}$$
(42)
$$\begin{aligned}&{r}=\frac{{\varSigma } \left( 2 C_2 {\varSigma } +1\right) }{\sqrt{3}}+\frac{\gamma {\varOmega }_t v^2}{\sqrt{3} \left( (\gamma -1) v^2+1\right) }+\frac{K}{\sqrt{3}}, \end{aligned}$$
(43)

The normalized equations of interest are:

Propagation equations:

$$\begin{aligned} {\varSigma }'&=-{{\varSigma }} \left( {{\varSigma }}-\sqrt{3} {r}+2\right) \nonumber \\&\quad +\frac{{{\varOmega }_t} \left( -3 \gamma +(\gamma -2) v^2+2\right) }{2 C_2 \left( (\gamma -1) v^2+1\right) }, \end{aligned}$$
(44a)
$$\begin{aligned} A'&=A \left( {{\varSigma }}+\sqrt{3} {r}\right) , \end{aligned}$$
(44b)
$$\begin{aligned} K'&= 2 K \left( -{{\varSigma }}+\sqrt{3} {r}-1\right) , \end{aligned}$$
(44c)
$$\begin{aligned} v'&=\frac{\left( v^2-1\right) }{\gamma \left( \gamma -v^2-1\right) } \Big \{\gamma v \left( \gamma {{\varSigma }}+2 \gamma -2\right) \nonumber \\&\quad +A \Big [(\gamma -1) (3 \gamma -2)+ (\gamma -2) v^2\Big ]\Big \}. \end{aligned}$$
(44d)

Equation for \({\varOmega }_t\):

$$\begin{aligned} {\varOmega }_{t}=\frac{\left( \gamma v^2-v^2+1\right) \left( 1-C_2{{\varSigma }}^2- C_2 A^2 -K\right) }{\gamma +v^2-1}. \end{aligned}$$
(45)

Auxiliary equation:

$$\begin{aligned} {\varOmega }_{t}'&= 2 \sqrt{3} {r} {\varOmega }_{t}+\frac{{\varOmega }_{t}}{\left( \gamma -v^2-1\right) \left( \gamma v^2-v^2+1\right) } \nonumber \\&\quad \times \Big \{\gamma {{\varSigma }}+(\gamma -1) \gamma \left( {{\varSigma }}+2\right) v^4 -\gamma v^2 \left( \gamma {{\varSigma }}+4 \gamma -6\right) \nonumber \\&\quad +2 A v \Big [(\gamma (2 \gamma -5)+4) v^2- (\gamma -1) (3 \gamma -4) \Big ]\Big \}, \end{aligned}$$
(46)

Restriction:

$$\begin{aligned} \gamma {\varOmega }_t v -2 A C_2 {\varSigma } \left( (\gamma -1) v^2+1\right) =0. \end{aligned}$$
(47)

It is easily verified that the previous equations are invariant under the discrete transformation

$$\begin{aligned} ({\varSigma },A,K,v)\rightarrow ({\varSigma },-A,K,-v). \end{aligned}$$
(48)

Therefore, it is enough to analyze the region \(A\ge 0\).

Assuming \(v^2\ne \gamma -1\), and substituting the expressions (43) and (45) the system (44) is reduced to:

$$\begin{aligned} \varSigma '&= -\frac{1}{2 C_2 \left( \gamma +v^2-1\right) } \nonumber \\&\quad \times \Bigg \{A^2 C_2 \left( -3 \gamma +v^2 (\gamma +2 \gamma C_2 \varSigma -2)+2\right) \nonumber \\&\quad +K \left( -3 \gamma -2 (\gamma -1) C_2 \varSigma \right. \nonumber \\&\quad \left. +v^2 (\gamma +2 (\gamma -1) C_2 \varSigma -2)+2\right) \nonumber \\&\quad +\left( C_2 \varSigma ^2-1\right) \left( -3 \gamma -4 (\gamma -1) C_2 \varSigma \right. \nonumber \\&\quad \left. +(\gamma -2) v^2 (2 C_2 \varSigma +1)+2\right) \Bigg \}, \end{aligned}$$
(49a)
$$\begin{aligned} A'&= \frac{A }{\gamma +v^2-1} \nonumber \\&\quad \times \Bigg \{v^2 \left( 2 \varSigma (C_2 \varSigma +1)-\gamma \left( C_2 \left( A^2+\varSigma ^2\right) -1\right) \right) \nonumber \\&\quad +2 (\gamma -1) \varSigma (C_2 \varSigma +1)-(\gamma -1) K \left( v^2-1\right) \Bigg \}, \end{aligned}$$
(49b)
$$\begin{aligned} K'&= \frac{2 K }{\gamma +v^2-1} \nonumber \\&\quad \times \Bigg \{v^2 \left( -C-2 \gamma A^2 +\gamma -(\gamma -2) C_2 \varSigma ^2-1\right) \nonumber \\&\quad +(\gamma -1) \left( 2 C_2 \varSigma ^2-1\right) -(\gamma -1) K \left( v^2-1\right) \Bigg \}, \end{aligned}$$
(49c)
$$\begin{aligned} v'&=\frac{\left( v^2-1\right) \left( A \left( 3 \gamma ^2-5 \gamma +(\gamma -2) v^2+2\right) +\gamma v (\gamma (\varSigma +2)-2)\right) }{\gamma \left( \gamma -v^2-1\right) }. \end{aligned}$$
(49d)

In particular, four specific models will be studied, these are: models with extreme tilt (58); presureless perfect fluid (72); the reduced system (77) in the invariant set \( A = v = 0 \); and the general system (75). The case \(v^2= \gamma -1\) will be studied in Sect. 5.1. The invariant sets \(v=\pm 1\) will be analyzed in Sect. 5.2. In Sect. 5.3 are calculated invariant manifolds of \(P_6\) using analytical tools. Section 5.4 is devoted to the study of the ideal gas (\(\gamma =1\)). The general case \(v\ne 0\) corresponding to tilted fluid will be studied in Sect. 5.5. The equilibrium points with \(v=0, A=0\) will be studied in Sect. 5.6. In Sect. 5.7 the sinks and sources for the model with perfect fluid are summarized. Finally, in Sect. 5.8 results will be summarized and the relation with previous results in the literature will be discussed.

Fig. 1
figure 1

Real parts of the eigenvalues of the equilibrium points \({\widetilde{M}}^{\pm }\) for \(C_2=1\)

Noticing that the gradient of the restriction (47) is zero at the equilibrium points: \((\varSigma ,A,K,v)=(0,0,1,0),(0,0,1,\pm 1)\), the stability analysis of these points will be performed conserving the four eigenvalues due to the restriction being degenerated at these equilibrium points. The equilibrium point \(N_1:(\varSigma ,A,K,v)=(0,0,1,0)\) has eigenvalues \(\{-2,-1,1,2\}\), so, it is a hyperbolic saddle. The equilibrium points \(N_{2,3}:(\varSigma ,A,K,v)=(0,0,1,\pm 1)\) have eigenvalues

\(\left\{ 0,-1,1,\frac{4}{\gamma -2}+4\right\} \), so, they are non-hyperbolic saddles.

Additionally, system (75) admits the equilibrium points

\({\widetilde{M}}^{\pm }:({\varSigma }, {A}, K, v)=\left( 0,1,0, f_\pm (\gamma )\right) ,\quad \varOmega _t=0\),

\(f_\pm (\gamma )=\frac{(\gamma -1) \gamma \pm \left( \sqrt{(\gamma -1) \left( (\gamma -1) \gamma ^2+(2-\gamma ) (3 \gamma -2)\right) }\right) }{2-\gamma }\),

existing for \(C_2=1\). The eigenvalues of \(\widetilde{M}^{+}\) are:

$$\begin{aligned} \begin{aligned}&{\left\{ -2,\frac{1}{(-2+\gamma ) (-1+\gamma )}\left( \gamma \left( 8+(-4+\gamma ) \gamma -\varDelta (\gamma )\right) +\right. \right. }\\&{\left. 4 \left( -1+\varDelta (\gamma )\right) \right) ,}\\&{\frac{1}{2 (-1+\gamma ) \gamma }\left( -2-\varDelta (\gamma )+\right. }{\gamma \left( 6-\gamma (3+\gamma )+\varDelta (\gamma )\right) +}\\&{\surd \left( (-1+\gamma ) \left( -4 \left( 2+\varDelta (\gamma )\right) +\right. \right. }{\gamma \left( 4 \left( 5+\varDelta (\gamma )\right) +\right. }\\&{\gamma \left( -28+6 \varDelta (\gamma )+\gamma \right. }\\&{\left. \left. \left. \left. \left. \left( 29+\gamma (-11+2 \gamma )-2 \varDelta (\gamma )\right) \right) \right) \right) \right) \right) ,}\\&{-\frac{1}{2 (-1+\gamma ) \gamma }\left( 2+\varDelta (\gamma )-\right. }{\gamma \left( 6-\gamma (3+\gamma )+\varDelta (\gamma )\right) +}\\&{\surd \left( (-1+\gamma ) \left( -4 \left( 2+\varDelta (\gamma )\right) +\right. \right. }{\gamma \left( 4 \left( 5+\varDelta (\gamma )\right) +\right. }\\&{\gamma \left( -28+6 \varDelta (\gamma )+\right. }\\&{\left. \left. \left. \left. \left. \left. \gamma \left( 29+\gamma (-11+2 \gamma )-2 \varDelta (\gamma )\right) \right) \right) \right) \right) \right) \right\} }. \end{aligned} \end{aligned}$$

The eigenvalues of \(\widetilde{M}^{-}\) are:

$$\begin{aligned} \begin{aligned}&{\left\{ -2,\frac{1}{(-2+\gamma ) (-1+\gamma )}\left( -4 \left( 1+\varDelta (\gamma )\right) +\right. \right. }\\&{\left. \gamma \left( 8+(-4+\gamma ) \gamma +\varDelta (\gamma )\right) \right) ,}{\frac{1}{2 (-1+\gamma ) \gamma }\left( -2+\varDelta (\gamma )-\right. }\\&{\gamma \left( -6+\gamma (3+\gamma )+\varDelta (\gamma )\right) +}\\&{\surd \left( (-1+\gamma ) \left( 4 \left( -2+\varDelta (\gamma )\right) +\right. \right. }{\gamma \left( -4 \left( -5+\varDelta (\gamma )\right) +\right. }\\&{\gamma \left( -28-6 \varDelta (\gamma )+\gamma \right. }{\left. \left. \left. \left. \left. \left( 29+\gamma (-11+2 \gamma )+2 \varDelta (\gamma )\right) \right) \right) \right) \right) \right) ,}\\&{-\frac{1}{2 (-1+\gamma ) \gamma }\left( 2-\varDelta (\gamma )+\right. }{\gamma \left( -6+\gamma (3+\gamma )+\varDelta (\gamma )\right) +}\\&{\surd \left( (-1+\gamma ) \left( 4 \left( -2+\varDelta (\gamma )\right) +\right. \right. }{\gamma \left( -4 \left( -5+\varDelta (\gamma )\right) +\right. }\\&{\gamma \left( -28-6 \varDelta (\gamma )+\right. }\\&{\left. \left. \left. \left. \left. \left. \gamma \left( 29+\gamma (-11+2 \gamma )+2 \varDelta (\gamma )\right) \right) \right) \right) \right) \right) \right\} }, \end{aligned} \end{aligned}$$

where \(\varDelta (\gamma )=\sqrt{(-1+\gamma ) (-4+\gamma (8+(-4+\gamma ) \gamma ))}\).

In Fig. 1 the real parts of the eigenvalues of the equilibrium points \({\widetilde{M}}^{\pm }\) for \(C_2=1\) are depicted, showing in general that it is a hyperbolic saddle. For \(\gamma =\frac{6}{5}\), the eigenvalues of \({\widetilde{M}}^{-}\) are \(\{-2,0,0,-4\}\), so, it is non-hyperbolic.

5.1 Surface of non-extendibility of solutions

For \(\gamma >1\), \(v^2= \gamma -1\) represents a surface of non-extendibility of the solutions, and it is called sonic surface. The curve parametrized by \(\varSigma \),

$$\begin{aligned} SL_{\pm }: A=-\frac{\gamma \varepsilon (\gamma (\varSigma +2)-2)}{4 (\gamma -1)^{3/2}},\;\; v=\varepsilon \sqrt{\gamma -1},\;\; \varepsilon =\pm 1, \end{aligned}$$
(50)

is called sonic line. The solutions diverge in a finite time when the solutions approach the sonic surface \(v^2 = \gamma -1 \). The only way it can be passed through the sonic surface is when the numerator of the Eq. (44d) also vanishes, this is through the sonic line \(SL_{\pm } \). In \(SL_{\pm }\) both the denominator and the numerator of (44d) are zero. This indicates the presence of a singularity of the system (44). As a difference with General Relativity, for \(1<\gamma <2\) and \(C_2= \frac{\gamma ^2}{4 (\gamma -1)^2}\) the system (75) admits the following equilibrium points:

\(SL_1\)::

\(\varSigma = \frac{2 (\gamma -1)}{\gamma },v=\sqrt{\gamma -1}, A= - \frac{\gamma (\gamma (\varSigma +2)-2)}{4 (\gamma -1)^{3/2}}\),

\(SL_2\)::

\(\varSigma = -\frac{2 (\gamma -1)}{\gamma },v= -\sqrt{\gamma -1}, A= \frac{\gamma (\gamma (\varSigma +2)-2)}{4 (\gamma -1)^{3/2}}\),

which lie on the sonic line. These points do not exist in General Relativity when \(1<\gamma <2 \). When \(\gamma = 2, C_2 =1\) these points exist, and since \(\gamma = 2\) the fluid behaves like stiff matter. Additionally, if \( \gamma = 2, C_2 = 1\), these points correspond to models with extreme tilt (\(v = \varepsilon \)), \(SL_1: \varSigma = 1, A = -2, v = 1\), and \(SL_2: \varSigma = -1, A = 0, v = -1\). On the sonic surface the inequality \( C_2 (A ^ 2 + \varSigma ^ 2) \le 1 \) must be satisfied, which corresponds to \( K \ge 0\), which imposes additional conditions on the parameters. To analyze locally the behavior of the solutions near this sonic line, the new “shock” variable \(\xi \) is introduced:

$$\begin{aligned} \frac{d \xi }{d \eta }= \frac{1}{(\gamma -1)-v^2}, \end{aligned}$$
(51)

that leads to the system

$$\begin{aligned} \frac{d \varSigma }{d \xi }&= \frac{\varSigma \left( 1-\gamma +v^2\right) }{\gamma v} \Big \{A^2 \gamma C_2 v+A \left( 3 \gamma +2 (\gamma -1) C_2 \varSigma +v^2 (-(\gamma +2 (\gamma -1) C_2 \varSigma -2))-2\right) \nonumber \\&\quad +\gamma v \left( 1-C_2 \varSigma ^2\right) \Big \}, \end{aligned}$$
(52a)
$$\begin{aligned} \frac{d A}{d \xi }&= -\frac{A \left( -\gamma +v^2+1\right) \left( \gamma v \left( 1-A^2 C_2\right) +2 \varSigma \left( A (\gamma -1) C_2 \left( v^2-1\right) +\gamma v\right) +\gamma C_2 \varSigma ^2 v\right) }{\gamma v}, \end{aligned}$$
(52b)
$$\begin{aligned} \frac{d v}{d \xi }&= \frac{\left( v^2-1\right) \left( A \left( 3 \gamma ^2-5 \gamma +(\gamma -2) v^2+2\right) +\gamma v (\gamma (\varSigma +2)-2)\right) }{\gamma }, \end{aligned}$$
(52c)

The new variable is not monotonic since \((\gamma -1) -v^ 2\) can change the sign, so the system is not suitable to do qualitative/asymptotic analysis of the system since it does not represent a dynamical system. However, the system is suitable for numerical integration in a neighborhood of the sonic line \(SL_{\pm }\), and for the local stability analysis of \(SL_{\pm }\) at the perturbative level. \(SL_{\pm }\) can be parametrized by:

$$\begin{aligned} \gamma&= v_0^2+1,\; A= -\frac{\left( v_0^2+1\right) \left( \varSigma _0 +(\varSigma _0 +2) v_0^2\right) }{4 v_0^3},\nonumber \\ \varSigma&=\varSigma _0. \end{aligned}$$
(53)

Defining the equation of state parameter \(\omega =\gamma -1\), we deduce that \(\omega =v_0^2\).

Defining the following linear perturbations:

$$\begin{aligned} \delta _{v}&=v-v_0, \; \delta _{A}=A+\frac{\left( v_0^2+1\right) \left( \varSigma _{0}+(\varSigma _{0}+2) v_0^2\right) }{4 v_0^3}, \nonumber \\ \delta _{\varSigma }&= \varSigma -\varSigma _0, \end{aligned}$$
(54)

the evolution equations of the perturbations are given by:

$$\begin{aligned}&\frac{d \delta _\varSigma }{d \xi }= \delta _v \left\{ \frac{\varSigma _0 \left( (C_2+2) v_0^4+2 (C_2-2) v_0^2+C_2-2\right) }{2 v_0}\right. +\frac{\varSigma _0^2 \left( (5 C_2+1) v_0^6-(C_2+3) v_0^4+(3 C_2-5) v_0^2+C_2-1\right) }{2 v_0^3} \nonumber \\&\quad \;\left. +\frac{C_2 \varSigma _0^3 \left( -3 v_0^4+2 v_0^2+1\right) ^2}{8 v_0^5}\right\} , \end{aligned}$$
(55a)
$$\begin{aligned}&\frac{d \delta _A }{d \xi }= \delta _v \left\{ -\frac{\left( v_0^2+1\right) \left( C_2 \left( v_0^2+1\right) ^2-4 v_0^2\right) }{4 v_0^2} \right. -\frac{\varSigma _0 \left( v_0^2+1\right) \left( 11 C_2 v_0^6+(C_2-20) v_0^4+(9 C_2-4) v_0^2+3 C_2\right) }{8 v_0^4} \nonumber \\&\left. \; -\frac{\varSigma _0^2 \left( v_0^2+1\right) \left( 19 C_2 v_0^8-4 (C_2+4) v_0^6+2 (C_2-8) v_0^4+12 C_2 v_0^2+3 C_2\right) }{16 v_0^6} -\frac{C_2 \varSigma _0^3 \left( 3 v_0^6+v_0^4-3 v_0^2-1\right) ^2}{32 v_0^8}\right\} , \end{aligned}$$
(55b)
$$\begin{aligned}&\frac{d \delta _v}{d \xi }= \delta _v \left( v_0^4+\frac{\varSigma _0 \left( v_0^2-1\right) \left( v_0^2+1\right) ^2}{2 v_0^2}-1\right) +\frac{v_0 \left( v_0^2-1\right) \left( 4 \delta _A v_0^3+\delta _\varSigma \left( v_0^2+1\right) ^2\right) }{v_0^2+1}. \end{aligned}$$
(55c)

The eigenvalues of the equilibrium point \((\delta _\varSigma , \delta _A, \delta _v)=(0,0,0)\) are \(\lambda _1=0\) and the roots \(\lambda _2\) y \(\lambda _3\) of the polynomial:

$$\begin{aligned} P(\lambda )&:=-\lambda ^2+\frac{\lambda \left( v_0^4-1\right) \left( \varSigma _0+(\varSigma _0+2) v_0^2\right) }{2 v_0^2}-\left( v_0^2-1\right) v_0^2 \left( C_2 \left( v_0^2+1\right) ^2-4 v_0^2\right) \nonumber \\&\quad \; -\varSigma _0 \left( v_0^2-1\right) \left( (5 C_2-1) v_0^6-(C_2+9) v_0^4\right. \left. +(3 C_2+1) v_0^2+C_2+1\right) \nonumber \\&\quad \; +\frac{\varSigma _0^2 \left( v_0^2-1\right) \left( -C_2 \left( -3 v_0^4+2 v_0^2+1\right) ^2-12 v_0^2+2 \left( v_0^2+6\right) v_0^6-2\right) }{4 v_0^2}, \end{aligned}$$
(56)

say,

$$\begin{aligned}&\left\{ \lambda _{2}=\frac{\left( -1+ v_0^2\right) \left( 1+ v_0^2\right) ^2 \varSigma _0}{4 v_0^2}\right. -\frac{1}{4v_0^{13} \left( 1+ v_0^2\right) }\\&\quad \times \left( 2 v_0^{13}+2 v_0^{15}-2 v_0^{17}-2 v_0^{19}\right. \\&\quad +\surd \left( - v_0^{22} \left( -1+ v_0^2\right) \left( 1+ v_0^2\right) ^2 \right. \\&\quad \times \left( \varSigma _0^2+(-1+4 C_2) v_0^{10} (2+\varSigma _0) (2+9 \varSigma _0)\right. \\&\quad + v_0^2 \varSigma _0 (4+(11+4 C_2) \varSigma _0)-2 v_0^6 \\&\quad \times (-2+(-8+\varSigma _0) \varSigma _0+4 C_2 (-2+(-6+\varSigma _0) \varSigma _0)) \\&\quad - v_0^8 \left( 68+\varSigma _0 (152+51 \varSigma _0)+ 16 C_2 \left( -2+\varSigma _0+3 \varSigma _0^2\right) \right) \\&\quad \left. \left. \left. +2 v_0^4 (2+\varSigma _0 (12+25 \varSigma _0+8 C_2 (1+\varSigma _0)))\right) \right) \right) ,\\&\lambda _{3}=\frac{\left( -1+ v_0^2\right) \left( 1+ v_0^2\right) ^2 \varSigma _0}{4 v_0^2}\\&\qquad +\frac{1}{4 v_0^{13} \left( 1+v_0^2\right) }\left( -2 v_0^{13}-2 v_0^{15}+2 v_0^{17}+2 v_0^{19}\right. \\&\qquad + \surd \left( - v_0^{22} \left( -1+ v_0^2\right) \left( 1+ v_0^2\right) ^2\right. \nonumber \\&\qquad \times \left( \varSigma _0^2+(-1+4 C_2) v_0^{10} (2+\varSigma _0) (2+9 \varSigma _0)+ v_0^2 \varSigma _0 \right. \\&\qquad \times (4+(11+4 C_2) \varSigma _0)-2 v_0^6 (-2+(-8+\varSigma _0) \varSigma _0\\&\qquad +4 C_2(-2+(-6+\varSigma _0) \varSigma _{0})) - v_0^8 \left( 68+\varSigma _0 (152+51\varSigma _0)\right. \\&\qquad \left. +16 C_2 \left( -2+\varSigma _0+3 \varSigma _0^2\right) \right) \\&\quad \left. \left. \left. \left. +2 v_0^4 (2+\varSigma _0 (12+25 \varSigma _0+8 C_2 (1+\varSigma _0)))\right) \right) \right) \right\} . \end{aligned}$$

A zero eigenvalue appears because it is a curve of equilibrium points. Also, the curve:

$$\begin{aligned} \delta _{\varSigma }(\varSigma _0)&= \varSigma -\varSigma _0, \delta _{A}(\varSigma _0)\\&=A+\frac{\left( v_0^2+1\right) \left( \varSigma _{0}+(\varSigma _{0}+2) v_0^2\right) }{4 v_0^3}, \\ \delta _{v}(\varSigma _0)&=v-v_0, \end{aligned}$$
Fig. 2
figure 2

Stability regions for \(SL_{-}: v=-\sqrt{\gamma -1}, A=\frac{\gamma (\gamma (\varSigma +2)-2)}{4 (\gamma -1)^{3/2}}\), for \(C_2=0.5, 1, 2\) y \(\gamma \in [1, 2]\), where \(v_0=-\sqrt{\gamma -1}, \varSigma _0\) denote the values of \(v, \varSigma \) in an arbitrary fixed point on the sonic curve

has the tangent vector at the point \((\delta _\varSigma , \delta _A, \delta _v)=(0,0,0)\):

$$\begin{aligned} \frac{d}{d \varSigma _0}\left( \delta _{\varSigma }(\varSigma _0), \delta _{A}(\varSigma _0), \delta _{v}(\varSigma _0)\right) =\left( 1,-\frac{\left( v_0^2+1\right) ^2}{4 v_0^3},0\right) . \end{aligned}$$

The eigenvector associated with the zero eigenvalue:

$$\begin{aligned} {\mathbf {v}}=\left( -\frac{4 v_0^3}{\left( v_0^2+1\right) ^2},1,0\right) , \end{aligned}$$

is parallel to the vector tangent to the curve at the point. Then the curve is normally hyperbolic, so the stability can be studied considering only the signs of the nonzero eigenvalues.

For the stability analysis of the sonic line \(SL_{\pm }\), the following invariant sets are identified:

  1. 1.

    \(A_0=0\): \(\frac{\left( v_0^2+1\right) \left( \varSigma _0+(\varSigma _0+2) v_0^2\right) }{4 v_0^3}=0\),

  2. 2.

    \(K_0=0\): \(1-C_2 \left( \varSigma _0^2+\frac{\left( v_0^2+1\right) ^2 \left( \varSigma _0+(\varSigma _0+2) v_0^2\right) ^2}{16 v_0^6}\right) =0\),

both invariant sets determine curves in the space of parameters \(v_0,\varSigma _0\), which, due to the fact that they are invariant cannot be passed by orbits. For the discussion the following existence conditions will be imposed:

$$\begin{aligned}&\frac{\left( v_0^2+1\right) \left( \varSigma _0+(\varSigma _0+2) v_0^2\right) }{4 v_0^3}\ge 0, \\&1-C_2 \left( \varSigma _0^2+\frac{\left( v_0^2+1\right) ^2 \left( \varSigma _0+(\varSigma _0+2) v_0^2\right) ^2}{16 v_0^6}\right) \ge 0. \end{aligned}$$

In Fig. 2 stability regions for \(SL_{-}: v_0=-\sqrt{\gamma -1}, A=\frac{\gamma (\gamma (\varSigma _0 +2)-2)}{4 (\gamma -1)^{3/2}}\) are depicted in the space of parameters, for (a) \(C_2=0.5\), (b) \(C_2=1\) and (c) \(C_2=2\) and \(\gamma \in [1, 2]\), where \(v_0=-\sqrt{\gamma -1}, \varSigma _0\) denote the values of \(v, \varSigma \) in a fixed point at the sonic curve. The unshaded region represents the region where \( A_0 <0 \) or \( K_0 <0 \), which is the non-physical region. The dotted red line corresponds to \( K = 0\) and the thick blue line corresponds to \( A = 0\). The region represented in gray color corresponds to the region where \( (\delta _\varSigma , \delta _A, \delta _v) = (0,0,0)\) is a hyperbolic saddle. The region represented in black color corresponds to the region where \( (\delta _\varSigma , \delta _A, \delta _v) =(0,0,0) \) is stable. Figure 2b reproduces the stability results shown in Figure 1 of [67] (with the exception of a strip in the parameter space, represented in gray, where the point equilibrium \((\delta _ \varSigma , \delta _A, \delta _v) = (0,0,0) \) is a hyperbolic saddle, see upper right corner in Fig. 2b, whose analysis was omitted in [67]). For \(SL_{+} \) the existence condition \(\frac{\left( v_0 ^ 2 + 1 \right) \left( \varSigma _0 + (\varSigma _0 + 2) v_0 ^ 2 \right) }{4 v_0 ^ 3} \ge 0, \) it is not verified, so they are outside the physical region and their analysis is omitted.

5.2 Invariant sets \(v=\pm 1\)

In this section, the following invariant sets are studied \( v = \pm 1 \), which corresponds to extreme tilt. Then, from the equations (47), (45), and (43) it follow:

$$\begin{aligned}&{\varOmega }_t = \pm 2 A C_2 {\varSigma }, \end{aligned}$$
(57a)
$$\begin{aligned}&K=1- C_2 A^2 -C_2 \varSigma ^2 \mp 2 A C_2 {\varSigma }, \end{aligned}$$
(57b)
$$\begin{aligned}&\sqrt{3} r= 1+\varSigma +C_2 {\varSigma }^2- C_2 A^2. \end{aligned}$$
(57c)

Afterwards, the following reduced 2-dimensional systems are obtained:

$$\begin{aligned}&{\varSigma }'=-{{\varSigma }} \left( 1 \pm 2 A-C_2( {\varSigma }^2- A^2)\right) , \end{aligned}$$
(58a)
$$\begin{aligned}&A'=A \left( 1+ 2{\varSigma }+C_2( {\varSigma }^2- A^2)\right) , \end{aligned}$$
(58b)

where \(\pm 1\) denotes the sign of v.

The systems (58) are related through the simultaneous change of \( A \rightarrow -A \), and the sign “ \( + \) ” by the sign “ \( - \) ”. Therefore, without loss of generality, the positive sign “ \( + \) ” is studied, with \( A \ge 0\). Table 1 presents the qualitative analysis of the equilibrium points of the systems (58) corresponding to the cases of extreme tilt \( v = 1, -1 \), which are the following:

Table 1 Qualitative analysis of the equilibrium points of the systems (58) corresponding to extreme tilt: \(v=1,-1\)
\(N_{2,3}\)::

\((\varSigma ,A)=(0,0)\), \(v=\pm 1\), with eigenvalues \(\{-1,1\}\) is a hyperbolic saddle.

\(P_{1,2}\)::

\((\varSigma ,A)=(-\frac{1}{\sqrt{C_2}},0)\) , \(v=\pm 1\), with eigenvalues

\(\left\{ 2-\frac{2}{\sqrt{C_2}},2\right\} \) is:

  1. (a)

    A hyperbolic saddle for \(0<C_2<1\).

  2. (b)

    Non-hyperbolic for \(C_2=1\).

  3. (c)

    A hyperbolic source for \(C_2>1\).

\(P_{3,4}\)::

\((\varSigma ,A)=\left( \frac{1}{\sqrt{C_2}},0\right) \), \(v=\pm 1\), with eigenvalues

\(\left\{ 2+\frac{2}{\sqrt{C_2}},2\right\} \) is a hyperbolic source for \(C_2>0\).

\(P_5\)::

\((\varSigma ,A)=\left( 0, \frac{1}{\sqrt{C_2}}\right) \), \(v=1\), with eigenvalues

\(\left\{ -\frac{2}{\sqrt{C_2}}-2,-2\right\} \) is a hyperbolic sink for \(C_2>0\).

\(P_6\)::

\((\varSigma ,A)=\left( 0, \frac{1}{\sqrt{C_2}}\right) \), \(v=-1\), with eigenvalues

\(\left\{ \frac{2}{\sqrt{C_2}}-2,-2\right\} \) is:

  1. (a)

    A hyperbolic saddle for \(0<C_2<1\).

  2. (b)

    Non-hyperbolic for \(C_2=1\).

  3. (c)

    A hyperbolic sink for \(C_2>1\).

\(P_7\)::

\((\varSigma ,A)=\left( -\frac{1}{2}, \frac{1}{2}\right) \), \(v=-1\), with eigenvalues

\(\left\{ -\sqrt{C_2-1},\sqrt{C_2-1}\right\} \) is

  1. (a)

    A hyperbolic saddle for \(C_2>1\).

  2. (b)

    Non-hyperbolic for \(C_2\le 1\).

Figure 3 shows some orbits of the system (58) with \( v = 1, -1 \), for different choices of parameters. The points \( \overline{P_5}, \overline{P_6}, \overline{P_7} \) are included, where \( \overline{P_i} \) denotes the symmetric points of the points \({P_i} \). The dotted invariant line represents \(H_-\) (resp. \(H_{+}\)) for \(C_2 = 1\). The analytical results discussed above are confirmed. Figure 4 shows some orbits of the system (60) for different choices of parameters.

Fig. 3
figure 3

Some orbits of the systems (58) with \(v = 1, -1 \), for different parameter choices. The points \(\overline{P_5}, \overline{P_6}, \overline{P_7} \) are included, where \( \overline{P_i}\) denotes the symmetric points of the point \({P_i}\). The dotted line represents \( H _{-}\) (resp. \( \overline{H_{-}} = H_{+}\)) for \( C_2 = 1 \)

Fig. 4
figure 4

Some orbits of system (60) for different choices of the parameter \(C_2\)

5.3 Invariant manifolds of \(P_6\)

Concerning the equilibrium point \(P_6\) with \(v=-1\), the invariant line \(A-\varSigma -\frac{1}{\sqrt{C_2}}\) corresponds to its unstable manifold for \(C_2<1\). This line is stable for \(C_2=1\), and for \(C_2>1\) that line belongs to the stable 2-dimensional manifold of \(P_6\). Introducing the change of variables:

$$\begin{aligned} x&= \varSigma , \end{aligned}$$
(59a)
$$\begin{aligned} y&= A-\varSigma -\frac{1}{\sqrt{C_2}}, \end{aligned}$$
(59b)

the following equations are obtained:

$$\begin{aligned}&{x}'=x \left( -1+x^2 (1+\mu )^2-(1+x+y+(x+y) \mu )^2 \right. \nonumber \\&\qquad \; \left. +2 \left( x+y+\frac{1}{1+\mu }\right) \right) , \end{aligned}$$
(60a)
$$\begin{aligned}&y'=-y (2+y+y \mu ) (1+y+y \mu +2 x(1+\mu )), \end{aligned}$$
(60b)

where the following parameter is introduced:

$$\begin{aligned} \mu = \sqrt{C_2}-1, \quad C_2=(\mu +1)^2. \end{aligned}$$
(61)

The eigenvalues of \(P_6\) are \(\left\{ -\frac{2 \mu }{\mu +1},-2\right\} \). For \(\mu >0\), i.e., \(C_2>1\), the equilibrium point \(P_6\) is a hyperbolic sink in the invariant set \(v=-1\). For \(\mu <0\), i.e., \(C_2<1\), the equilibrium point \(P_6\) has an unstable manifold tangent to the axis x. This unstable manifold of \(P_6\) can be expressed locally by the graph:

$$\begin{aligned} \left\{ (x, y): y=h(x) , |x|<\delta \right\} , \end{aligned}$$
(62)

where h satisfies the initial value problem:

$$\begin{aligned}&h (2+(1+\mu ) h) (1+2 x (1+\mu )+(1+\mu ) h)\nonumber \\&\quad +x \left( -1+x^2 (1+\mu )^2+2 \left( x+\frac{1}{1+\mu }+h\right) \right. \nonumber \\&\quad \left. -(1+x+h+\mu (x+h))^2\right) h'=0, \end{aligned}$$
(63)
$$\begin{aligned}&h(0)=0, \quad h'(0)=0. \end{aligned}$$
(64)

The previous differential equation admits the first integral

$$\begin{aligned}&\frac{-x (1+\mu ) h^{p}(1+x+x \mu +(1+\mu ) h)}{ (2+(1+\mu ) h)^{q}} =C_1, \nonumber \\&p=-\frac{\mu }{1+\mu }>0, \quad q=\frac{2+\mu }{1+\mu }<0, \quad -1< \mu <0. \end{aligned}$$
(65)

where \(C_1\) is an integration constant. Imposing the condition \(h(0)=0\), it is obtained \(C_1=0\). Solving the resulting equation for h are obtained two solutions:

$$\begin{aligned} h(x)=0, \end{aligned}$$

and

$$\begin{aligned} h(x)= -x-\frac{1}{1+\mu }. \end{aligned}$$

The last solution is discarded since \(h'(x)=-1\), which implies that the tangential condition \(h'(0)=0\) is not fulfilled. Then, the unstable solution is given locally by the trivial solution:

$$\begin{aligned} \left\{ (x, y): y=0 , |x|<\delta \right\} . \end{aligned}$$
(66)

The dynamics on the invariant manifold is given by:

$$\begin{aligned} {x}'=-\frac{2 \mu x (\mu x+x+1)}{\mu +1}, \end{aligned}$$
(67)

whose solution passing by \(x(0)=x_0\), is:

$$\begin{aligned} x(\eta )= \frac{x_0}{e^{\frac{2 \eta \mu }{\mu +1}} (\mu x_0+x_0+1)-(\mu +1) x_0}, \end{aligned}$$
(68)

with \(-1< \mu < 0\). Finally, \(\lim _{\eta \rightarrow -\infty } x(\eta )=0\). That is, the solutions generically approaches the origin as \(\eta \rightarrow -\infty \), tending towards the past to \(P_6\).

Fig. 5
figure 5

1-Dimensional flow of the system (67), for \(\mu =-0.7\). All the flows are topologically equivalent for \(\mu \) on the interval \(-1< \mu < 0\)

Figure 5 shows the 1-dimensional flow of (67) for \( -1<\mu <0 \), where it is illustrated that the origin of the system (67) is stable. Then, applying the Unstable Manifold Theorem, it is confirmed that \(P_6\) is a hyperbolic saddle, as it was previously commented in Table 1.

5.4 Ideal gas \(\gamma =1\)

For an ideal gas with \(\gamma =1\) (pressureless fluid; dust) the Eq. (38) and restrictions (39) become:

$$\begin{aligned}&{\varSigma }'=\frac{A^2 \left( v^2 (1-2 C_2 \varSigma )+1\right) }{2 v^2} \nonumber \\&\qquad \; + \frac{\left( C_2 \varSigma ^2-1\right) \left( 2 C_2 \varSigma v^2+v^2+1\right) +K \left( v^2+1\right) }{2 C_2 v^2}, \end{aligned}$$
(69a)
$$\begin{aligned}&A'=-C_2 A^3 +A \varSigma (C_2 \varSigma +2)+A, \end{aligned}$$
(69b)
$$\begin{aligned}&K'= 2 C_2 K \left( \varSigma ^2-A^2\right) , \end{aligned}$$
(69c)
$$\begin{aligned}&v'=\frac{\left( v^2-1\right) (A v-\varSigma )}{v}, \end{aligned}$$
(69d)
Fig. 6
figure 6

Real parts of \(\lambda _i \) corresponding to the equilibrium point \(P_8\) for \( C_2 \ge \frac{3}{4} \) and \(\gamma = 1\), showing that in general it has saddle behavior

where the expressions \(\varOmega _{t}\) and r given by:

$$\begin{aligned} \varOmega _{t}&=\frac{1-C_2 A^2 -C_2 \varSigma ^2-K}{v^2}, \nonumber \\ r&=\frac{1-C_2 A^2 +C_2 \varSigma ^2+\varSigma }{\sqrt{3}}, \end{aligned}$$
(70)

were used.

The restriction (47) is reduced to:

$$\begin{aligned} K=-C_2 A^2 -2 A C_2 \varSigma v-C_2 \varSigma ^2+1. \end{aligned}$$
(71)

This allows us to study the reduced 3-dimensional system:

$$\begin{aligned}&{\varSigma }'=-\frac{\varSigma \left( A \left( A C_2 v+v^2+1\right) +v\right) }{v}, \end{aligned}$$
(72a)
$$\begin{aligned}&A'=-C_2 A^3 +A \varSigma (C_2 \varSigma +2)+A, \end{aligned}$$
(72b)
$$\begin{aligned}&v'=\frac{\left( v^2-1\right) (A v-\varSigma )}{v}, \end{aligned}$$
(72c)

defined on the phase space:

$$\begin{aligned}&\Bigg \{(\varSigma , A, v)\in {{\mathbb {R}}}^3: C_2(A^2 + \varSigma ^2)\le 1, \nonumber \\&\quad C_2 \left( A^2 +2 A \varSigma v+ \varSigma ^2\right) \le 1, \quad v \in [-1, 0)\cup (0, 1]\Bigg \}. \end{aligned}$$
(73)

The equilibrium points of system (72) are the following:

N::

\((\varSigma ,A,v)=(0,0,v)\) with eigenvalues \(\{0,-1,1\}\) is a non-hyperbolic saddle.

\(N_{2,3}\)::

\((\varSigma ,A,v)=(0,0,\pm 1) \) with eigenvalues \(\{-1,1,0\}\) are non-hyperbolic saddles. The points \(N_1\), \(N_2\) and \(N_3\) are joined in a line called N.

\(P_{1,2}\)::

\( (\varSigma ,A,v)=\left( -\frac{1}{\sqrt{C_2}},0,\pm 1\right) \) with eigenvalues

\(\left\{ \frac{2}{\sqrt{C_2}},2-\frac{2}{\sqrt{C_2}},2\right\} \) are:

  1. (a)

    Hyperbolic sources for \(C_2>1\).

  2. (b)

    Hyperbolic saddles for \(C_2<1\).

  3. (c)

    Non-hyperbolic for \(C_2=1\).

\(P_{3,4}\)::

\((\varSigma ,A,v)=\left( \frac{1}{\sqrt{C_2}},0,\pm 1\right) \) with eigenvalues

\(\left\{ -\frac{2}{\sqrt{C_2}},2+\frac{2}{\sqrt{C_2}},2\right\} \) are hyperbolic saddles for \(C_2>0\).

\(P_5\)::

\((\varSigma ,A,v)=\left( 0, \frac{1}{\sqrt{C_2}}, 1\right) \) with eigenvalues

\(\left\{ \frac{2}{\sqrt{C_2}},-\frac{2}{\sqrt{C_2}}-2,-2\right\} \) is a hyperbolic saddle for \(C_2>0\).

\(P_6\)::

\((\varSigma ,A,v)=\left( 0, \frac{1}{\sqrt{C_2}},- 1\right) \) with eigenvalues

\(\left\{ -\frac{2}{\sqrt{C_2}},\frac{2}{\sqrt{C_2}}-2,-2\right\} \) is

  1. (a)

    A hyperbolic sink for \(C_2>1\).

  2. (b)

    A hyperbolic saddle for \(C_2<1\).

  3. (c)

    Non-hyperbolic for \(C_2=1\).

\(P_{7}\)::

\((\varSigma ,A,v)=\left( -\frac{1}{2},\frac{1}{2},- 1\right) \) with eigenvalues \(\left\{ 0,\pm \sqrt{C_2-1}\right\} \) is:

  1. (a)

    A non-hyperbolic saddle for \(C_2>1\).

  2. (b)

    Non-hyperbolic with three zero eigenvalues for \(C_2=1\).

  3. (c)

    Non-hyperbolic with a zero eigenvalue and two purely imaginary eigenvalues for \(0\le C_2<1\).

\(P_8\)::

\((\varSigma ,A,v)={\left( -\frac{1}{2 C_2}, \frac{\sqrt{4 C_2-3}}{2 C_2}, - \frac{1}{\sqrt{4 C_2-3}}\right) }\) with eigenvalues \(\left\{ k \lambda _1,k \lambda _2, k \lambda _3\right\} \), where \(k=\frac{1}{2 C_2^2 (4 C_2-3)^{3/2}}\) and \(\lambda _1, \lambda _2\) and \(\lambda _3\) are the roots of the polynomial in \(\lambda \): \(P(\lambda )=-16 (C_2-1)^2 C_2^3 (4 C_2-3)^{11/2}-4 (C_2-1) C_2^2 (8 C_2-7) (4 C_2-3)^3 \lambda +\lambda ^3\). Figure 6 shows the real part \( \lambda _i \) (which differs from the eigenvalues in an overall multiplicative factor k) corresponding to the equilibrium point \( P_8 \) for \( C_2 \ge \frac{3}{4} \) and \(\gamma = 1 \), showing that in general it has saddle behavior.

\(H_{\pm }\)::

\((\varSigma ,A,v)=\left( \varSigma _0,-\varepsilon (1+\varSigma _0), \varepsilon \right) \), \(\varepsilon =\pm 1\), exists for \(C_2=1\). The eigenvalues are \(\left\{ 0,-4 \varSigma _c-2\right\} \). These lines of equilibrium points, which do not exist in Einstein–æther theory (\(C_2 \ne 1\)), are associated with a change of causality of the homothetic vector field.

Table 2 Qualitative analysis of the equilibrium points of system (72) for a pressureless fluid (\(\gamma =1\)) and \(v\ne 0\). Line N is included

The stability criteria of the equilibrium points of the system (72) for pressureless fluid (\(\gamma = 1 \)) and \( v \ne 0 \) are summarized in Table 2.

5.5 General case \(v\ne 0\)

In the general case \(v\ne 0\) is possible reduce the system’s dimension when the restriction (47) in non-degenerated. The restrictions (47) and (45) can be globally solved for \({\varOmega }_{t}\) y K (assuming \(\gamma v \ne 0\) and \(\gamma v^2-v^2+1 \ne 0\)):

$$\begin{aligned}&{\varOmega }_t = \frac{2 A C_2 {\varSigma } \left( (\gamma -1) v^2+1\right) }{\gamma v}, \end{aligned}$$
(74a)
$$\begin{aligned}&K=- C_2 A^2-\frac{2 A C_2 \varSigma \left( \gamma +v^2-1\right) }{\gamma v}-C_2 \varSigma ^2+1. \end{aligned}$$
(74b)

Then, a 3-dimensional dynamical system is obtained:

$$\begin{aligned} {\varSigma }'&=\varSigma \left( -C_2 A^2+C_2 \varSigma ^2-1 \right. \nonumber \\&\quad \left. +\frac{A\left( -3 \gamma -2 (\gamma -1) C_2 \varSigma +v^2(\gamma +2 (\gamma -1) C_2 \varSigma -2)+2\right) }{\gamma v}\right) , \end{aligned}$$
(75a)
$$\begin{aligned} A'&=A \left( -C_2 A^2+\frac{2 A (\gamma -1) C_2 \varSigma \left( v^2-1\right) }{\gamma v}\right. \nonumber \\&\quad \left. {{\left( -C_2 A^2+\frac{2 A (\gamma -1) C_2 \varSigma \left( v^2-1\right) }{\gamma v}\right. }}+\varSigma (C_2 \varSigma +2)+1\right) , \end{aligned}$$
(75b)
$$\begin{aligned} v'&=\frac{\left( v^2-1\right) \left( A \left( 3 \gamma ^2-5\gamma +(\gamma -2) v^2+2\right) +\gamma v (\gamma (\varSigma +2)-2)\right) }{\gamma \left( \gamma -v^2-1\right) }. \end{aligned}$$
(75c)

The dynamical system (75) admits some invariant sets. These are: \( v = \pm 1 \), corresponding to extreme tilt, and the invariant sets \( A = 0 \) and \( \varSigma = 0 \). The equilibrium points of the system (75) are the following.

\(P_{1,2}\)::

\((\varSigma ,A,v)=(-\frac{1}{\sqrt{C_2}},0,\pm 1)\), with eigenvalues

\(\left\{ 2-\frac{2}{\sqrt{C_2}},2,\frac{2 \gamma \left( \frac{1}{\sqrt{C_2}}-2\right) +4}{2-\gamma }\right\} \). They are:

  1. (a)

    Hyperbolic sources for \(1<\gamma<2, 1<C_2<\frac{\gamma ^2}{4 \gamma ^2-8 \gamma +4}\).

  2. (b)

    Hyperbolic saddles for:

    1. (i)

      \(1<\gamma<2,0<C_2<1\), or

    2. (ii)

      \(1<\gamma <2,C_2>\frac{\gamma ^2}{4 \gamma ^2-8 \gamma +4}\).

  3. (c)

    Non-hyperbolic for:

    1. (i)

      \(1<\gamma <2, C_2=\frac{4\gamma ^2}{(\gamma -1)^2}\), or

    2. (ii)

      \(1<\gamma <2, C_2=1\).

\(P_{3,4}\)::

\((\varSigma ,A,v)=(\frac{1}{\sqrt{C_2}},0,\pm 1)\), with eigenvalues

\(\left\{ \frac{2}{\sqrt{C_2}}+2,2,\frac{-4 \gamma -\frac{2 \gamma }{\sqrt{C_2}}+4}{2-\gamma }\right\} \). They are hyperbolic saddles for \(1<\gamma <2, C_2>0\).

\(P_5\)::

\((\varSigma ,A,v)=(0,\frac{1}{\sqrt{C_2}},1)\), with eigenvalues

\(\left\{ -\frac{2}{\sqrt{C_2}}-2,-2,\frac{6 \gamma +4 (\gamma -1) \sqrt{C_2}-8}{(\gamma -2) \sqrt{C_2}}\right\} \). It is:

  1. (a)

    A hyperbolic sink for:

    1. (i)

      \(1<\gamma \le \frac{4}{3}, C_2>\frac{9 \gamma ^2-24 \gamma +16}{4 \gamma ^2-8 \gamma +4}\), or

    2. (ii)

      \(\frac{4}{3}<\gamma <2, C_2>0\).

  2. (b)

    A hyperbolic saddle for \(1<\gamma<\frac{4}{3}, 0<C_2<\frac{(4-3 \gamma )^2}{4 (\gamma -1)^2}\)

  3. (c)

    Non-hyperbolic for \(1<\gamma <\frac{4}{3}, C_2=\frac{9 \gamma ^2-24 \gamma +16}{4 \gamma ^2-8 \gamma +4}\).

\(P_6\)::

\((\varSigma ,A,v)=\left( 0,\frac{1}{\sqrt{C_2}},-1\right) \), with eigenvalues

\(\left\{ \frac{2}{\sqrt{C_2}}-2,-2,\frac{-6 \gamma +4 (\gamma -1) \sqrt{C_2}+8}{(\gamma -2) \sqrt{C_2}}\right\} \). It is:

  1. (a)

    A hyperbolic sink for \(1<\gamma <2, C_2>1\).

  2. (b)

    A hyperbolic saddle for:

    1. (i)

      \(1<\gamma<2, 0<C_2<1\), or

    2. (ii)

      \(\frac{4}{3}<\gamma<2, 0<C_2<\frac{(4-3 \gamma )^2}{4 (\gamma -1)^2}\), or

    3. (iii)

      \(1<\gamma \le \frac{4}{3}, 0<C_2<1\).

  3. (c)

    Non-hyperbolic for:

    1. (i)

      \(1<\gamma \le \frac{4}{3}, C_2=1\), or

    2. (ii)

      \(\frac{4}{3}<\gamma <2, C_2=\frac{9 \gamma ^2-24 \gamma +16}{4 \gamma ^2-8 \gamma +4}\), or

    3. (iii)

      \(\frac{4}{3}<\gamma <2, C_2=1\).

\(P_{7}\)::

\((\varSigma ,A,v)=(-\frac{1}{2},\frac{1}{2},-1)\), with eigenvalues

\(\left\{ 0,-\sqrt{C_2-1},\sqrt{C_2-1}\right\} \) is:

  1. (a)

    A non-hyperbolic saddle for \(C_2>1\).

  2. (b)

    Non-hyperbolic with three zero eigenvalues for \(C_2=1\).

  3. (c)

    Non-hyperbolic with a zero eigenvalue and two purely imaginary eigenvalues for \(0\le C_2<1\).

\(P_8\)::

\((\varSigma ,A,v)=\left( -\frac{1}{2 C_2},-\frac{1}{2 C_2 \varDelta },\varDelta \right) \), where \(\varDelta =-\sqrt{\frac{2-3 \gamma }{\gamma -4 \gamma C_2+2}}\). For this point it is satisfied the equation \(\varSigma =A v=-\frac{1}{2 C_2}\). \(P_8\) exists for \(1\le \gamma <2, C_2>\frac{\gamma +2}{4 \gamma }\). When \(\gamma =1\), the eigenvalues are \(\left\{ k \lambda _1,k \lambda _2, k \lambda _3\right\} \), where \(k=\frac{1}{2 C_2^2 (4 C_2-3)^{3/2}}\), and \(\lambda _1, \lambda _2\) and \(\lambda _3\) are the roots of the polynomial in \(\lambda \): \(P(\lambda )=-16 (C_2-1)^2 C_2^3 (4 C_2-3)^{11/2}-4 (C_2-1) C_2^2 (8 C_2-7) (4 C_2-3)^3 \lambda +\lambda ^3\). For \(C_2=1+\delta + {\mathscr {O}}(\delta ^2)\), \(\lambda _1= -2 \delta +{\mathscr {O}}\left( \delta ^2\right) \), \(\lambda _2=-\frac{\left( 3 \gamma ^2-8 \gamma +4\right) \sqrt{\delta }}{(\gamma -2) (3 \gamma -2)}+\frac{\left( -3 \gamma ^2+6 \gamma -4\right) \delta }{(\gamma -2) (3 \gamma -2)}+{\mathscr {O}}\left( \delta ^{3/2}\right) \), and \(\lambda _3=\frac{\left( 3 \gamma ^2-8 \gamma +4\right) \sqrt{\delta }}{(\gamma -2) (3 \gamma -2)}+\frac{\left( -3 \gamma ^2+6 \gamma -4\right) \delta }{(\gamma -2) (3 \gamma -2)}+{\mathscr {O}}\left( \delta ^{3/2}\right) \). This shows a hyperbolic saddle behavior for values of the parameters close to the values of general relativity. For example, for a pressureless fluid (\(\gamma = 1 \)) the \(\lambda _i \) are approximately \(\left\{ - 2 \delta , \delta + \sqrt{\delta }, \delta - \sqrt{\delta } \right\} \). For \( \delta <0 \) there are two complex imaginary eigenvalues with negative real parts and a positive real eigenvalue, while for \(\delta >0\) there is a negative eigenvalue and the others have different signs. In the Fig. 7 the real part of \(\lambda _i\) (which differ from the eigenvalues associated with the equilibrium point \(P_8\) by the overall factor k) are represented graphically for \(C_2\ge \frac{2+ \gamma }{4\gamma } \) and \(\gamma \in [1, 2] \). The figure illustrates that the equilibrium point is generally a hyperbolic saddle or is non-hyperbolic.

\(P_9:\):

\((\varSigma ,A,v)=(0, \lambda _{+} v_{-}, v_{-})\), where \(v_{-}=\frac{\sqrt{(\gamma -1) \left( \gamma \left( 2 \gamma ^2 C_2-\gamma (2 C_2+3)-2 \sqrt{\gamma -1} \sqrt{C_2} \sqrt{\gamma (\gamma ((\gamma -1) C_2-3)+8)-4}+8\right) -4\right) }}{\gamma -2}\), and \(\lambda _{+}= \frac{\gamma +\frac{\sqrt{\gamma (\gamma ((\gamma -1) C_2-3)+8)-4}}{\sqrt{\gamma -1} \sqrt{C_2}}}{2-3 \gamma }\), such that \(C_2=\frac{1}{\lambda _{+}^2 v_{-}^2}\). The eigenvalues are \(\mu _1=-2\), \(\mu _2=-\gamma + \frac{\sqrt{8 \gamma +\gamma ^3 C_2-\gamma ^2 (C_2+3)-4}}{\sqrt{\gamma -1} \sqrt{C_2}}\), and \(\mu _3=\frac{2 (\gamma -1) \gamma \left( -\gamma -v_{-}^4+3 \gamma v_{-}^2-4 v_{-}^2+1\right) -2 (\gamma -2) \lambda v_{-}^2 \left( -3 \gamma +v_{-}^2+3\right) \left( \gamma +v_{-}^2-1\right) }{\gamma \left( -\gamma +v_{-}^2+1\right) ^2}\). Noting that there is at least one change of sign in two eigenvalues, that is \( \mu _1 \mu _2 <0 \), for \( 1<\gamma <2, C_2> 0 \), it is concluded that it is a hyperbolic saddle.

\(P_{10}\)::

\((\varSigma ,A,v)=(0, \lambda _{-} v_{+}, v_{+})\), where \(v_{+}=\frac{\sqrt{(\gamma -1) \left( \gamma \left( 2 \gamma ^2 C_2-\gamma (2 C_2+3)+2 \sqrt{\gamma -1} \sqrt{C_2} \sqrt{\gamma (\gamma ((\gamma -1) C_2-3)+8)-4}+8\right) -4\right) }}{2-\gamma }\), and \(\lambda _{-}=\frac{\gamma -\frac{\sqrt{\gamma (\gamma ((\gamma -1) C_2-3)+8)-4}}{\sqrt{\gamma -1} \sqrt{C_2}}}{2-3 \gamma }\), such that \(C_2=\frac{1}{\lambda _{-}^2 v_{+}^2}\). The eigenvalues are \(\nu _1=-2, \nu _2=-\gamma -\frac{\sqrt{\gamma (\gamma ((\gamma -1) C_2-3)+8)-4}}{\sqrt{\gamma -1} \sqrt{C_2}}\), and \(\nu _3= \frac{-2 (\gamma -2) \lambda v_{+}^2 \left( -3 \gamma +v_{+}^2+3\right) \left( \gamma +v_{+}^2-1\right) -2 (\gamma -1) \gamma \left( \gamma +v_{+}^4+(4-3 \gamma ) v_{+}^2-1\right) }{\gamma \left( -\gamma +v_{+}^2+1\right) ^2}\).

It is a hyperbolic sink for:

  1. (a)

    \(1<\gamma \le \gamma _0, 0<C_2<\frac{4 \gamma -4}{\gamma ^2}\), or

  2. (b)

    \(1<\gamma<\gamma _0, \frac{4 \gamma -4}{\gamma ^2}<C_2<\frac{(4-3 \gamma )^2}{4 (\gamma -1)^2}\), or

  3. (c)

    \(\gamma _0<\gamma<\frac{4}{3}, 0<C_2<\frac{(4-3 \gamma )^2}{4 (\gamma -1)^2}\),

where \(\gamma _0=-\frac{2}{27} \left( -11-\frac{14}{\root 3 \of {27 \sqrt{57}-197}}+\root 3 \of {27 \sqrt{57}-197}\right) \)

\(\approx 1.22033\).

Is a hyperbolic saddle for:

  1. (a)

    \(1<\gamma \le \gamma _0, C_2>\frac{(4-3 \gamma )^2}{4 (\gamma -1)^2}\), or

  2. (b)

    \(\gamma _0<\gamma \le \frac{4}{3}, \frac{(4-3 \gamma )^2}{4 (\gamma -1)^2}<C_2<\frac{4 (\gamma -1)}{\gamma ^2}\), or

  3. (c)

    \(\gamma _0<\gamma \le \frac{4}{3}, C_2>\frac{4 (\gamma -1)}{\gamma ^2}\), or

  4. (d)

    \(\frac{4}{3}<\gamma<2, 0<C_2<\frac{4 (\gamma -1)}{\gamma ^2}\), or

  5. (e)

    \(\frac{4}{3}<\gamma <2, C_2>\frac{4 (\gamma -1)}{\gamma ^2}\).

Fig. 7
figure 7

Real parts of \(\lambda _i \) corresponding to the equilibrium point \(P_8\) for \(C_2 \ge \frac{2+ \gamma }{4 \gamma }\) and \(\gamma \in [1, 2] \)

5.6 Invariant set \(v= A=0\).

The focus of this section is the stability analysis of the equilibrium points of the system (49) in the invariant set \(A = v = 0\). In the following list the stability analysis is done with preserving the four eigenvalues.

\(N_1\)::

\((\varSigma ,A,K,v)=(0,0,1,0)\) has eigenvalues \(\{-2,-1,1,2\}\), then, is a hyperbolic saddle.

\(P_{11}\)::

\((\varSigma ,A,K,v)=\left( -\frac{1}{\sqrt{C_2}}, 0, 0, 0\right) \). The eigenvalues are

\(\left\{ 2-\frac{2}{\sqrt{C_2}},2,\frac{\gamma }{(\gamma -1) \sqrt{C_2}}-2,\frac{-3 \gamma +4 (\gamma -1) \sqrt{C_2}+2}{(\gamma -1) \sqrt{C_2}}\right\} \).

  1. (a)

    It is a hyperbolic sink for \(\gamma >1, \frac{(2-3 \gamma )^2}{16 (\gamma -1)^2}<C_2<\frac{\gamma ^2}{4 (\gamma -1)^2}\).

  2. (b)

    It is a hyperbolic saddle for:

    1. (i)

      \(1<\gamma <2, C_2>\frac{\gamma ^2}{4(\gamma -1)^2}\), or

    2. (ii)

      \(1<\gamma<2, 0<C_2<\frac{(2-3 \gamma )^2}{16 (\gamma -1)^2}\)

  3. (c)

    It is non-hyperbolic if:

    1. (i)

      \(1<\gamma <2, C_2=1\), or

    2. (ii)

      \(1<\gamma <2, C_2=\frac{(2-3 \gamma )^2}{16 (\gamma -1)^2}\), or

    3. (iii)

      \(1<\gamma <2, C_2=\frac{\gamma ^2}{4 (\gamma -1)^2}\).

\(P_{12}\)::

\((\varSigma ,A,K,v)=\left( \frac{1}{\sqrt{C_2}}, 0, 0, 0\right) \), with eigenvalues

\(\left\{ \frac{2}{\sqrt{C_2}}+2,2,-\frac{\gamma }{(\gamma -1) \sqrt{C_2}}-2,\frac{3 \gamma +4 (\gamma -1) \sqrt{C_2}-2}{(\gamma -1) \sqrt{C_2}}\right\} \). It is a saddle for \( 1<\gamma <2, C_2>0\).

\(P_{13}\)::

\((\varSigma ,A,K,v)=\left( -\frac{2-3 \gamma }{4 C_2(1- \gamma )}, 0, 0, 0\right) \). \(\varOmega _t\ge 0\) for \({ C_2}\ge \frac{(2-3 \gamma )^2}{16 (\gamma -1)^2}\). The eigenvalues are \(\Big \{-\frac{(\gamma -2) (3 \gamma -2)}{8 (\gamma -1)^2 C_2},\frac{(2-3 \gamma )^2}{4 (\gamma -1)^2 C_2}-2\),

\(\frac{\gamma (3 \gamma -2)}{4 (\gamma -1)^2 C_2}-2,\frac{(2-3 \gamma )^2}{8 (\gamma -1)^2 C_2}-2\Big \}\). It is:

  1. (a)

    A hyperbolic source for \(1<\gamma<2, 0<C_2<\frac{(2-3 \gamma )^2}{16 (\gamma -1)^2}\).

  2. (b)

    A hyperbolic saddle for:

    1. (i)

      \(1<\gamma<2, \frac{(2-3 \gamma )^2}{16 (\gamma -1)^2}<C_2<\frac{\gamma (3 \gamma -2)}{8(\gamma -1)^2}\), or

    2. (ii)

      \(1<\gamma<2, \frac{\gamma (3 \gamma -2)}{8 (\gamma -1)^2}<C_2<\frac{(2-3 \gamma )^2}{8(\gamma -1)^2}\)

    3. (iii)

      \(1<\gamma <2, C_2>\frac{(2-3 \gamma )^2}{8 (\gamma -1)^2}\).

\(P_{14}\)::

\((\varSigma ,A,K,v)=\left( -\frac{2 (\gamma -1)}{3 \gamma -2}, 0, \frac{(2-3 \gamma )^2-8 (\gamma -1)^2 C_2}{(2-3 \gamma )^2}, 0 \right) \).

The eigenvalues are \(\{\lambda _1, \lambda _2, \lambda _3, \lambda _4\}=\)

\(\Bigg \{\frac{2-\gamma }{3 \gamma -2},-\frac{4 (\gamma -1)}{3 \gamma -2},-\frac{1}{2}+\frac{\sqrt{64 (\gamma -1)^2 C_2-7 (2-3 \gamma )^2}}{4-6 \gamma }\),

\( -\frac{1}{2}-\frac{\sqrt{64 (\gamma -1)^2 C_2-7 (2-3 \gamma )^2}}{6 \gamma -4}\Bigg \}\). It is:

  1. (a)

    Non-hyperbolic for:

    1. (i)

      \(C_2=\frac{(2-3 \gamma )^2}{8 (\gamma -1)^2}, 1<\gamma \le 2\), or

    2. (ii)

      \(C_2\ge 0, \gamma =1\), or

    3. (iii)

      \(C_2\ge 0, \gamma =2\).

  2. (b)

    A saddle otherwise.

Figure 8 shows the real parts of the eigenvalues \(\lambda _i\) for the equilibrium point

\((\varSigma , A,K,v)=\left( -\frac{2 (\gamma -1)}{3 \gamma -2}, 0, \frac{(2-3 \gamma )^2-8 (\gamma -1)^2 C_2}{(2-3 \gamma )^2}, 0 \right) \). It represents static solutions for \(1\le \gamma \le 2\) y \(C_2\ge 0\). The figure shows that the equilibrium point is non-hyperbolic in the cases (a)-i,ii,iii previously described, or, it is a hyperbolic saddle.

Fig. 8
figure 8

Real part of the eigenvalues \(\lambda _i\) for the equilibrium point \((\varSigma , A,K,v)=\left( -\frac{2 (\gamma -1)}{3 \gamma -2}, 0, \frac{(2-3 \gamma )^2-8 (\gamma -1)^2 C_2}{(2-3 \gamma )^2}, 0 \right) \) for \(1\le \gamma \le 2\) y \(C_2\ge 0\)

5.6.1 Reduced system

When \(A=v=0\), the restriction (47) is trivially satisfied. On the other hand, from Eq. (45) it follows

$$\begin{aligned} (\gamma -1){\varOmega }_{t}= \left( 1-C_2{{\varSigma }}^2 -K\right) . \end{aligned}$$
(76)

Imposing the energy condition \(\varOmega _t\ge 0\) and choosing \(\gamma \in (1,2]\), the following reduced dynamical system is obtained:

$$\begin{aligned}&\varSigma '= \frac{\left( C_2 \varSigma ^2-1\right) (3 \gamma +4 (\gamma -1) C_2 \varSigma -2)}{2 (\gamma -1) C_2} \nonumber \\&\quad + \frac{K (3 \gamma +2 (\gamma -1) C_2 \varSigma -2)}{2 (\gamma -1) C_2}, \end{aligned}$$
(77a)
$$\begin{aligned}&K'= 2 K \left( 2 C_2 \varSigma ^2+K-1\right) , \end{aligned}$$
(77b)

defined in the phase space:

$$\begin{aligned} \left\{ (\varSigma , K)\in {{\mathbb {R}}}^2 : C_2{{\varSigma }}^2 +K \le 1, K \ge 0\right\} . \end{aligned}$$
(78)

The qualitative analysis of system (77) is given in Table 3.

Table 3 Qualitative analysis of the equilibrium points of the system (77) with \(v = A = 0\). Line \( N_1 \) is included

5.7 Summary of sources and sinks for a perfect fluid

A summary of the equilibrium points classified as sinks or sources of the model with perfect fluid is presented.

5.7.1 Non-extensibility surface of solutions

\(SL_{-}\) is stable for the regions described in Fig. 2.

5.7.2 Invariant sets \(v=\pm 1\)

\(P_{1,2}\)::

\((\varSigma ,A)=\left( -\frac{1}{\sqrt{C_2}},0\right) \), \(v=\pm 1\), are hyperbolic sources for \(C_2>1\).

\(P_{3,4}\)::

\((\varSigma ,A)=\left( \frac{1}{\sqrt{C_2}},0\right) \), \(v=\pm 1\), are hyperbolic sources for \(C_2>0\).

\(P_5\)::

\((\varSigma ,A)=\left( 0, \frac{1}{\sqrt{C_2}}\right) \), \(v=1\), is a hyperbolic sink for \(C_2>0\).

\(P_6\)::

\((\varSigma ,A)=\left( 0, \frac{1}{\sqrt{C_2}}\right) \), \(v=-1\), is a hyperbolic sink for \(C_2>1\).

5.7.3 Ideal gas \(\gamma =1\)

\(P_{1,2}\)::

\((\varSigma ,A,v)=\left( -\frac{1}{\sqrt{C_2}},0,\pm 1\right) \) are hyperbolic sources for

\(C_2>1\).

\(P_6\)::

\((\varSigma ,A,v)=\left( 0, \frac{1}{\sqrt{C_2}},- 1\right) \) is hyperbolic sink for \(C_2>1\).

5.7.4 General case \(v\ne 0\)

\(P_{1,2}\)::

\((\varSigma ,A,v)=(-\frac{1}{\sqrt{C_2}},0,\pm 1)\), are hyperbolic sources for \(1<\gamma<2, 1<C_2<\frac{\gamma ^2}{4 \gamma ^2-8 \gamma +4}\).

\(P_5\)::

\((\varSigma ,A,v)=(0,\frac{1}{\sqrt{C_2}},1)\), is a hyperbolic sink for:

  1. (a)

    \(1<\gamma \le \frac{4}{3}, C_2>\frac{9 \gamma ^2-24 \gamma +16}{4 \gamma ^2-8 \gamma +4}\), or

  2. (b)

    \(\frac{4}{3}<\gamma <2, C_2>0\).

\(P_6\)::

\((\varSigma ,A,v)=(0,\frac{1}{\sqrt{C_2}},-1)\), is a hyperbolic sink for \(1<\gamma <2, C_2>1\).

\(P_{10}\)::

\((\varSigma ,A,v)=(0, \lambda _{-} v_{+}, v_{+})\), is a hyperbolic sink for:

  1. (a)

    \(1<\gamma \le \gamma _0, 0<C_2<\frac{4 \gamma -4}{\gamma ^2}\), or

  2. (b)

    \(1<\gamma<\gamma _0, \frac{4 \gamma -4}{\gamma ^2}<C_2<\frac{(4-3 \gamma )^2}{4 (\gamma -1)^2}\), or

  3. (c)

    \(\gamma _0<\gamma<\frac{4}{3}, 0<C_2<\frac{(4-3 \gamma )^2}{4 (\gamma -1)^2}\),

    where

    \(\gamma _0=-\frac{2}{27} \left( -11-\frac{14}{\root 3 \of {27 \sqrt{57}-197}}+\root 3 \of {27 \sqrt{57}-197}\right) \)

    \(\;\;\;\;\approx 1.22033\).

5.7.5 Invariant set \(v=A=0\)

\(P_{11}\)::

\((\varSigma ,A,K,v)=\left( -\frac{1}{\sqrt{C_2}}, 0, 0, 0\right) \), is a hyperbolic source for \(\gamma >1\), \(\frac{(2-3 \gamma )^2}{16 (\gamma -1)^2}<C_2<\frac{\gamma ^2}{4 (\gamma -1)^2}\).

\(P_{13}\)::

\((\varSigma ,A,K,v)=\left( -\frac{2-3 \gamma }{4 C_2(1- \gamma )}, 0, 0, 0\right) \), is a hyperbolic source for \(1<\gamma<2, 0<C_2<\frac{(2-3 \gamma )^2}{16 (\gamma -1)^2}\).

Reduced system:

\(P_{11}\)::

\((\varSigma ,K)=\left( -\frac{1}{\sqrt{C_2}}, 0 \right) \), is a local source for \(C_2>\frac{(2-3 \gamma )^2}{16 (\gamma -1)^2}\).

\(P_{12}\)::

\((\varSigma ,K)=\left( \frac{1}{\sqrt{C_2}}, 0 \right) \) is a local source for \(C_2>0\).

\(P_{13}\)::

\((\varSigma ,K)=\left( -\frac{2-3 \gamma }{4 C_2(1- \gamma )}, 0\right) \) is:

  1. (a)

    a local source for \(0<C_2<\frac{(2-3 \gamma )^2}{16 (\gamma -1)^2}\).

  2. (b)

    a local attractor for \(C_2>\frac{(2-3 \gamma )^2}{8 (\gamma -1)^2}\).

\(P_{14}\)::

\((\varSigma ,K)=\Bigg (-\frac{2 (\gamma -1)}{3 \gamma -2}, \frac{(2-3 \gamma )^2-8 (\gamma -1)^2 C_2}{(2-3 \gamma )^2}\Bigg )\) is a local sink for:

  1. (a)

    \(0<C_2\le \frac{7 (2-3 \gamma )^2}{64 (\gamma -1)^2}\), or

  2. (b)

    \(\frac{7 (2-3 \gamma )^2}{64 (\gamma -1)^2}<C_2<\frac{(2-3 \gamma )^2}{8 (\gamma -1)^2}\).

5.8 Discussion

In this section, timelike self-similar spherically symmetric metrics in Einstein–æther theory with perfect fluid as matter content were studied using the homothetic diagonal formulation, which gives the propagation equations (33) plus algebraic restrictions. The homothetic diagonal formalism has some disadvantages. Symmetry surfaces generally change causality. Then, in the homothetic diagonal formulation spacetime must be covered with two coordinate systems (two charts); one when homothetic Killing vector is timelike, and another when homothetic Killing vector is spacelike. These two regions have to be matched in the region where the Killing vector is null [67]. However, the formulation has more advantages than disadvantages. The main one is that it allows the field equations, which are a well-defined system of first-order partial derivative equations (PDE), in two variables (from the \( 1 + 3 \) formalism), to be written as a system of ordinary differential equations using the symmetries that come from the Killing vectors. The resulting equations are very similar to those of the models with homogeneous hypersurfaces. In turn, it is possible to write these equations as a dynamical system, which makes it possible to study the model using the techniques of the qualitative theory of dynamical systems. This makes it possible to obtain a complete description in a phase space, which leads to a better understanding of the dynamics of the model. In this regard, the \(\theta \)-normalized equations were presented.

Four specific models were studied; these are: extreme tilt (58); pressureless perfect fluid (72); the reduced system (77) in the invariant set \(A = v = 0\); and the general system (75). Hyperbolic points were classified according to their stability conditions using the Hartman–Grobman theorem; while non-hyperbolic points were classified as saddles. Furthermore, it was possible to retrieve the results obtained in [67]. The following list shows the points obtained in [67] and their correspondence with the points discussed in this section:

  • \(SL_{\pm }\): sonic lines given by \({A}=-\frac{\gamma \varepsilon (\gamma (\varSigma +2)-2)}{4 (\gamma -1)^{3/2}}\), \(v=\varepsilon \sqrt{\gamma -1}\), were analyzed in Sect. 5.1. Unlike general relativity, for \(1<\gamma <2\) and \(C_2= \frac{\gamma ^2}{4 (\gamma -1)^2}\) the system (75) admits the following equilibrium points:

    • \(SL_1\): \(\varSigma = \frac{2 (\gamma -1)}{\gamma },v=\sqrt{\gamma -1}, A= - \frac{\gamma (\gamma (\varSigma +2)-2)}{4 (\gamma -1)^{3/2}}\),

    • \(SL_2\): \(\varSigma = -\frac{2 (\gamma -1)}{\gamma },v= -\sqrt{\gamma -1}, A= \frac{\gamma (\gamma (\varSigma +2)-2)}{4 (\gamma -1)^{3/2}}\),

    which lie on the sonic line. If \( \gamma = 2, C_2 = 1 \) these points exist, and since \( \gamma = 2 \) the fluid behaves like stiff matter. Additionally, if \( \gamma = 2, C_2 = 1 \), these points correspond to models with extreme tilt (\( v = \varepsilon \)), \(SL_1: \varSigma = 1, A = -2, v = 1 \), and \(SL_2: \varSigma = -1, A = 0, v = -1 \). \( SL_ {\pm }\) corresponds to a flat FLRW space and static orbits depending on the parameter \(\gamma \).

  • \(C^0\): \(({\varSigma }, {A}, v)=(0,0,0),\quad ({K},\varOmega _t)=(1,0)\), corresponds to \(N_1\).

  • \(C^{\pm }\): \(({\varSigma }, {A}, v)=(0,0,\pm 1),\quad ({K},\varOmega _t)=(1,0)\), correspond to \(N_{2,3}\).

  • \(K^{\pm }_-\): \(({\varSigma }, {A}, v)=(-1,0,\pm 1),\quad ({K},\varOmega _t)=(0,0)\), correspond to \(P_{1,2}\) for \(C_2=1\).

  • \(K^{\pm }_+\): \(({\varSigma }, {A}, v)=(1,0,\pm 1),\quad ({K},\varOmega _t)=(0,0)\), correspond to \(P_{3,4}\) for \(C_2=1\).

  • \(M^+\): \(({\varSigma }, {A}, v)=(0,1,1),\quad ({K},\varOmega _t)=(0,0)\), corresponds to \(P_5\) for \(C_2=1\).

  • \(M^-\): \(({\varSigma }, {A}, v)=(0,1,-1),\quad ({K},\varOmega _t)=(0,0)\), corresponds to \(P_6\) for \(C_2=1\).

  • \(H^-\): The line \( {A}( {\varSigma })= {\varSigma } +1\), \(v( {\varSigma })=-1\), \((0,-2 {\varSigma } {A})\).

  • \(K^0_-\): \(({\varSigma }, {A}, v)=(-1,0,0),\quad ({K},\varOmega _t)=(0,0)\), corresponds to \(P_{11}\) for \(C_2=1\).

  • \(K^0_+\): \(({\varSigma }, {A}, v)=(1,0,0),\quad ({K},\varOmega _t)=(0,0)\), corresponds to \(P_{12}\) for \(C_2=1\).

  • T: \(({\varSigma }, {A}, v)=\left( -2\frac{\gamma -1}{3\gamma -2},0,0\right) \), \( ({K},\varOmega _t)=\left( \frac{\gamma ^2+4(\gamma -1)}{(3\gamma -2},\frac{4(\gamma -1)}{(3\gamma -2}\right) \), corresponds to \(P_{13}\) for \(C_2=1\).

  • \({\widetilde{M}}^{\pm }\): \(({\varSigma }, {A}, v)=\left( 0, 1, \frac{(\gamma -1) \gamma \pm \left( \sqrt{(\gamma -1) \left( (\gamma -1) \gamma ^2+(2-\gamma ) (3 \gamma -2)\right) }\right) }{2-\gamma }\right) \),

    \(({K},\varOmega _t)=(0,0)\), exists for \(C_2=1\).

Fig. 9
figure 9

Orbits of system (77) with \(v=0, \quad A=0\) with \(1<\gamma \le 2\) for different choices of \(\gamma \) and \(C_2\)

The authors in [67] used the notation \( \text {Kernel}^ {\text {sgn} (v)} _ {\text {sgn} ({\varSigma })} \), when there is no confusion \( \text {sgn} (v) \) or \( \text {sgn} ({\varSigma }) \) is omitted. The kernel indicates the interpretation of the point: MC represent Minkowski spacetime; K represents a Kasner solution; T corresponds to static solutions; \(SL_ {\pm }\) corresponds to a flat FLRW space and static orbits depending on the parameter \(\gamma \); The equilibrium point line \( H^- \) is associated with a change of causality of the homothetic vector field. The points \({\widetilde{M}}^{\pm } \) are equilibrium points of (75), only if \(C_2 = 1\).

Table 3 summarizes the results of the qualitative analysis of the equilibrium points of the system (49) with \(v = A = 0\). Line \( N_1 \) is included. The Fig. 9 shows some orbits in the phase space of the system (77) with \(v = A = 0 \) and \(1 <\gamma \le 2\).

Table 4 Qualitative analysis of the equilibrium points of (44) with \(v\ne 0\). The notations \(v_{\pm }=\frac{\sqrt{(\gamma -1) \left( \gamma \left( 2 \gamma ^2 C_2-\gamma (2 C_2+3)\pm 2 \sqrt{\gamma -1} \sqrt{C_2} \sqrt{\gamma (\gamma ((\gamma -1) C_2-3)+8)-4}+8\right) -4\right) }}{\gamma -2}\), \(\lambda _{\pm }= \frac{\gamma \pm \frac{\sqrt{\gamma (\gamma ((\gamma -1) C_2-3)+8)-4}}{\sqrt{\gamma -1} \sqrt{C_2}}}{2-3 \gamma }\), \(\gamma _0=-\frac{2}{27} \left( -11-\frac{14}{\root 3 \of {27 \sqrt{57}-197}}+\root 3 \of {27 \sqrt{57}-197}\right) \approx 1.22033\), \(\varDelta =-\sqrt{\frac{2-3 \gamma }{\gamma -4 \gamma C_2+2}}\), \(k=\frac{1}{2 C_2^2 (4 C_2-3)^{3/2}}\), y \(\lambda _1, \lambda _2\) and \(\lambda _3\) satisfy \(P(\lambda _i)=0\), where \(P(\lambda )=-16 (C_2-1)^2 C_2^3 (4 C_2-3)^{11/2}-4 (C_2-1) C_2^2 (8 C_2-7) (4 C_2-3)^3 \lambda +\lambda ^3\) are used

6 Timelike self-similar spherically symmetric models with scalar field

In order for a non-homogeneous scalar field \(\phi (t, x)\) with potential \(V(\phi (t, x))\) to fulfill the static conformal symmetry they have to have the form [70]:

$$\begin{aligned} \phi (t,x)&=\psi (x)-\lambda t, \\ V(\phi (t,x))&= e^{-2 t} U(\psi (x)), \\ U(\psi )&=U_0 e^{-\frac{2 \psi }{\lambda }}. \end{aligned}$$

where it is assumed, for convenience, \(\lambda > 0 \), such that for \(\psi > 0 \), \( U \rightarrow 0\) as \( \lambda \rightarrow 0 \).

Then, the energy–momentum tensor of the scalar field is given by:

$$\begin{aligned} {T^{\psi }}_{a}^{b}=\left( \begin{array}{cccc} \mu _\phi &{} q_\phi &{} 0 &{} 0 \\ q_\phi &{} p_\phi -2\pi _\phi &{} 0 &{} 0 \\ 0 &{} 0 &{} p_\phi +\pi _\phi &{} 0 \\ 0 &{} 0 &{} 0 &{} p_\phi +\pi _\phi \\ \end{array} \right) , \end{aligned}$$
(79)

where

$$\begin{aligned} \mu _\phi&:= \frac{1}{2} {\mathbf {e}}_0(\phi )^2 + \frac{1}{2}{\mathbf {e}}_1(\phi )^2 +V(\phi ) \nonumber \\&= \frac{1}{2} \lambda ^2 e^{-2 t} {b_1}^2+U_0 e^{-2 t-\frac{2 \psi (x)}{\lambda }}+\frac{1}{2} e^{-2 t} {{\widehat{\psi }}}^2, \end{aligned}$$
(80a)
$$\begin{aligned} p_\phi&:= \frac{1}{2} {\mathbf {e}}_0(\phi )^2 - \frac{1}{6}{\mathbf {e}}_1(\phi )^2 -V(\phi ) \nonumber \\&= \frac{1}{2} \lambda ^2 e^{-2 t} {b_1}^2-U_0 e^{-2 t-\frac{2 \psi (x)}{\lambda }}-\frac{1}{6} e^{-2 t} {{\widehat{\psi }}}^2, \end{aligned}$$
(80b)
$$\begin{aligned} q_\phi&:= -{\mathbf {e}}_0(\phi ) {\mathbf {e}}_1(\phi )=\lambda e^{-2 t} {b_1} {{\widehat{\psi }}}, \end{aligned}$$
(80c)
$$\begin{aligned} \pi _\phi&:= - \frac{1}{3}{\mathbf {e}}_1(\phi )^2=-\frac{1}{3} e^{-2 t} {{\widehat{\psi }}}^2, \end{aligned}$$
(80d)

where \(\widehat{...}\) denotes the derivative with respect the spatial variable x. The field equations are the following.

Propagation equations:

$$\begin{aligned}&\widehat{ {\theta }}= -\sqrt{3} {b_2}^2-\frac{\sigma \left( 2 C_2 \sigma +\theta \right) }{\sqrt{3}}\nonumber \\&\quad - \sqrt{3} \varPsi ^2-\frac{\sqrt{3} \gamma \mu _{t} v^2}{(\gamma -1) v^2+1}, \end{aligned}$$
(81a)
$$\begin{aligned}&\widehat{ {\sigma }}=-\frac{\sqrt{3} \lambda ^2 {b_1}^2}{C_2}+\frac{\sqrt{3} U_0 e^{-\frac{2 \psi }{\lambda }}}{C_2}-\frac{\sigma (2 \theta +\sigma )}{\sqrt{3}} \nonumber \\&\qquad \; +\frac{\sqrt{3} \mu _{t} \left( -3 \gamma +(\gamma -2) v^2+2\right) }{2 C_2 \left( (\gamma -1) v^2+1\right) }, \end{aligned}$$
(81b)
$$\begin{aligned}&\widehat{b_1}= \frac{b_1 {\sigma }}{\sqrt{3}}, \end{aligned}$$
(81c)
$$\begin{aligned}&\widehat{b_2}= -\frac{b_2 ( {\theta }+ {\sigma })}{\sqrt{3}}, \end{aligned}$$
(81d)
$$\begin{aligned}&{\widehat{v}}= \frac{\left( v^2-1\right) }{\sqrt{3} \gamma \left( \gamma -v^2-1\right) } \Big \{\gamma v (2 (\gamma -1) \theta +\gamma \sigma ) \nonumber \\&\qquad \; + \sqrt{3} b_1 \left( 3 \gamma ^2-5 \gamma +(\gamma -2) v^2+2\right) \Big \}, \end{aligned}$$
(81e)
$$\begin{aligned}&{\widehat{\varPsi }}= 2 \lambda {b_1}^2-\frac{(2 \theta +\sigma ) \varPsi }{\sqrt{3}}-\frac{2 U_0 e^{-\frac{2 \psi }{\lambda }}}{\lambda }, \end{aligned}$$
(81f)
$$\begin{aligned}&{\widehat{\psi }}=\varPsi . \end{aligned}$$
(81g)

Auxiliary equation:

$$\begin{aligned}&\widehat{\mu _{t}}=\frac{\mu _{t}}{\sqrt{3} \left( \gamma -v^2-1\right) \left( (\gamma -1) v^2+1\right) } \nonumber \\&\qquad \times \Big \{\gamma \left( \sigma +(\gamma -1) v^4 (2 \theta +\sigma )-v ^2 ((4 \gamma -6) \theta +\gamma \sigma )\right) \nonumber \\&\qquad +2 \sqrt{3} b_1 v \left( (7-3 \gamma ) \gamma +(\gamma (2 \gamma -5)+4) v^2-4\right) \Big \}. \end{aligned}$$
(82a)

Restriction:

$$\begin{aligned} 3 \gamma \mu _{t} v- b_1\left( (\gamma -1) v^2+1\right) \left( 2 \sqrt{3} C_2 \sigma +3 \lambda \varPsi \right) =0. \end{aligned}$$
(83)

Equation for \(\mu _t\):

$$\begin{aligned}&{b_1}^2 \left( C_2+\frac{\lambda ^2}{2}\right) +{b_2}^2+\frac{1}{3} C_2 \sigma ^2+\frac{1}{2} \varPsi ^2 \nonumber \\&\quad = \frac{\theta ^2}{3}+U_0 e^{-\frac{2 \psi }{\lambda }}-\frac{\mu _{t} \left( \gamma +v^2-1\right) }{(\gamma -1) v^2+1} \le \theta ^2+U_0 e^{-\frac{2 \psi }{\lambda }}. \end{aligned}$$
(84)

In general, for \(\mu _t \ge 0, 0 <\gamma \le 1, 1- \gamma \le v^ 2 \le 1\), or \( \mu _t \ge 0, 1<\gamma <2, -1 \le v \le 1 \) assuming \( C_2 \ge 0 \), the term \( \theta ^ 2\) is dominant, which suggests using \(\theta \) -normalized variables.

7 \(\theta \)-Normalized equations

The following \(\theta \)-normalized variables are introduced:

$$\begin{aligned}&{\varSigma } =\frac{\sigma }{\theta },\quad A=\frac{\sqrt{3} b_1}{\theta },\quad K=\frac{3 b_2^2}{\theta ^2},\quad {\varOmega }_t =\frac{3\mu _t}{\theta ^2}, \nonumber \\&u= \sqrt{\frac{3}{2}} \frac{\varPsi }{\theta }, \quad w=\frac{ e^{-\frac{ \psi }{\lambda }}\sqrt{3 U_0}}{\theta }, \end{aligned}$$
(85)

along with the radial coordinate:

$$\begin{aligned} \frac{df}{d \eta } := \frac{\sqrt{3}{\widehat{f}}}{\theta }. \end{aligned}$$

The parameter r is defined, analogously to the “Hubble gradient parameter” r , by

$$\begin{aligned} {\widehat{\theta }}=-r {\theta }^2, \end{aligned}$$

where

$$\begin{aligned} \sqrt{3} r= 2 C_2 \varSigma ^2+K+\frac{\gamma {\varOmega _t} v^2}{(\gamma -1) v^2+1}+\varSigma +2 u^2. \end{aligned}$$
(86)

In these variables, the dynamical system is given by:

$$\begin{aligned}&\varSigma '= -\frac{A^2 \lambda ^2}{C_2}+2 C_2 \varSigma ^3+\frac{w^2}{C_2}+\varSigma \left( K+2 u^2-2\right) \nonumber \\&\qquad \;+\frac{{\varOmega _t} \left( -3 \gamma +2 \gamma C_2 \varSigma v^2+(\gamma -2) v^2+2\right) }{2 C_2 \left( (\gamma -1) v^2+1\right) }, \end{aligned}$$
(87a)
$$\begin{aligned}&A'=A \left( 2 C_2 \varSigma ^2+K+2 \left( \varSigma +u^2\right) +\frac{\gamma v^2 {\varOmega _t} }{(\gamma -1) v^2+1}\right) , \end{aligned}$$
(87b)
$$\begin{aligned}&K'=2 K \left( 2 C_2 \varSigma ^2+K+2 u^2+\frac{\gamma v^2 {\varOmega _t} }{(\gamma -1) v^2+1}-1\right) , \end{aligned}$$
(87c)
$$\begin{aligned}&u'= \sqrt{2} A^2 \lambda +2 C_2 \varSigma ^2 u+u \left( K+\frac{\gamma v^2 {\varOmega _t} }{(\gamma -1) v^2+1}-2\right) \nonumber \\&\qquad \; +2 u^3-\frac{\sqrt{2} w^2}{\lambda }, \end{aligned}$$
(87d)
$$\begin{aligned}&w'= w\left( 2 C_2 \varSigma ^2+K+\varSigma +2 u^2-\frac{\sqrt{2} u}{\lambda }+\frac{\gamma v^2 {\varOmega _t} }{(\gamma -1) v^2+1}\right) , \end{aligned}$$
(87e)
$$\begin{aligned}&v'= \frac{\left( v^2-1\right) \left( A \left( 3 \gamma ^2-5 \gamma +(\gamma -2) v^2+2\right) +\gamma v (\gamma (\varSigma +2)-2)\right) }{\gamma \left( \gamma -v^2-1\right) }, \end{aligned}$$
(87f)
$$\begin{aligned}&{\varOmega _t}'={\varOmega _t} \left( 4 C_2 \varSigma ^2+2 K+2 \varSigma +4 u^2+\frac{2 \gamma v^2 {\varOmega _t} }{(\gamma -1) v^2+1} \right) \nonumber \\&\qquad \; +{\varOmega _t}\left( \frac{2 A v \left( (7-3 \gamma ) \gamma +(\gamma (2 \gamma -5)+4) v^2-4\right) }{\left( (\gamma -1) v^2+1\right) \left( \gamma -v^2-1\right) }\right) \nonumber \\&\qquad \; +{\varOmega _t}\left( \frac{\gamma \left( \varSigma +v^2 \left( -\gamma (\varSigma +4)+(\gamma -1) (\varSigma +2) v^2+6\right) \right) }{\left( (\gamma -1) v^2+1\right) \left( \gamma -v^2-1\right) }\right) . \end{aligned}$$
(87g)

The restrictions are:

$$\begin{aligned}&C_2 \left( A^2+\varSigma ^2\right) +\frac{A^2 \lambda ^2}{2}+K+u^2-w^2\nonumber \\&\quad +\frac{{\varOmega _t} \left( \gamma +v^2-1\right) }{(\gamma -1) v^2+1} =1, \end{aligned}$$
(88a)
$$\begin{aligned}&\gamma {\varOmega _t} v -A \left( (\gamma -1) v^2+1\right) \left( 2 C_2 \varSigma +\sqrt{2} \lambda u\right) =0. \end{aligned}$$
(88b)

These can be globally resolved for \(\varOmega _t \) and K to get:

$$\begin{aligned} \varOmega _t&= \frac{A \left( \gamma v^2-v^2+1\right) \left( 2 C_2 \varSigma +\sqrt{2} \lambda u\right) }{\gamma v}, \end{aligned}$$
(89a)
$$\begin{aligned} K&= \frac{1}{2} \left( -2 A^2 C_2 -\lambda ^2A^2 -2 C_2 \varSigma ^2-2 u^2+2 w^2+2\right) \nonumber \\&\quad -\frac{A \left( \gamma +v^2-1\right) \left( \gamma v^2-v^2+1\right) \left( 2 C_2 \varSigma +\sqrt{2} \lambda u\right) }{\gamma v \left( (\gamma -1) v^2+1\right) }. \end{aligned}$$
(89b)

Finally, the following reduced 5-dimensional system is obtained:

$$\begin{aligned} \varSigma '&=-\frac{A^2 \lambda ^2 \left( C_2 \varSigma +2\right) }{2 C_2}+C_2 \left( \varSigma ^3-A^2 \varSigma \right) +\frac{w^2}{C_2}+\varSigma \left( u^2+w^2-1\right) \nonumber \\&\quad +\frac{A \left( 2 C_2 \varSigma +\sqrt{2} \lambda u\right) \left( -3 \gamma +2 (\gamma -1) C_2 \varSigma \left( v^2-1\right) +(\gamma -2) v^2+2\right) }{2 \gamma C_2 v}, \end{aligned}$$
(90a)
$$\begin{aligned} A'&= -\frac{1}{2} A^3 \lambda ^2+A \left( C_2 \left( \varSigma ^2-A^2\right) \right. \left. +2 \varSigma +u^2+w^2+1\right) \nonumber \\&\quad +\frac{A^2 (\gamma -1) \left( v^2-1\right) \left( 2 C_2 \varSigma +\sqrt{2} \lambda u\right) }{\gamma v}, \end{aligned}$$
(90b)
$$\begin{aligned} v'&=\frac{\left( v^2-1\right) \left( A \left( 3 \gamma ^2-5 \gamma +(\gamma -2) v^2+2\right) +\gamma v (\gamma (\varSigma +2)-2)\right) }{\gamma \left( \gamma -v^2-1\right) }, \end{aligned}$$
(90c)
$$\begin{aligned} u'&= u \left( C_2 \left( \varSigma ^2-A^2\right) +u^2+w^2-1\right) \nonumber \\&\quad +\sqrt{2} A^2 \lambda -\frac{1}{2} A^2 \lambda ^2 u +\frac{A (\gamma -1) u \left( v^2-1\right) \left( 2 C_2 \varSigma +\sqrt{2} \lambda u\right) }{\gamma v} -\frac{\sqrt{2} w^2}{\lambda },\end{aligned}$$
(90d)
$$\begin{aligned} w'&=-\frac{1}{2} A^2 \lambda ^2 w+\frac{\sqrt{2} A (\gamma -1) \lambda u \left( v^2-1\right) w}{\gamma v} -\frac{\sqrt{2} u w}{\lambda }\nonumber \\&\quad + \frac{w \left( C_2 \left( A^2 \gamma (-v)+2 A (\gamma -1) \varSigma \left( v^2-1\right) +\gamma \varSigma ^2 v\right) +\gamma v \left( \varSigma +u^2+w^2+1\right) \right) }{\gamma v}. \end{aligned}$$
(90e)

If \( u = w = 0 \) and the limit \(\lambda \rightarrow 0\) is taken, system (75) is recovered. Given the computational difficulty of obtaining (analytically) the stability conditions for all the equilibrium points of the system (90), in the following sections some subcases of (90) of special interest will be studied: perfect fluid in the form of ideal gas (94) , the invariant set \(\varSigma =0\) (96), the extreme tilt case (97) and the invariant set \(A=v=0\) (98). An exhaustive analysis (analytical or numerical) of the stability conditions is provided for these particular cases. Relaxing the condition \(1\le \gamma \le 2\), interestingly, a cosmological fluid in the form of an ideal gas with equation of state \(p_m = (\gamma -1) \mu _m \), with \( \gamma = 2/3 \) describes a FLRW spacetime with non-zero curvature.

7.1 Special case \(\varOmega _t=v=0\) and \(\gamma =2/3\)

The equations are:

$$\begin{aligned}&\varSigma '=-\frac{\left( A^2 \lambda ^2-w^2\right) }{C_2}+2 C_2 \varSigma ^3+\varSigma \left( K+2 u^2-2\right) , \end{aligned}$$
(91a)
$$\begin{aligned}&A'=A \left( 2 C_2 \varSigma ^2+K+2 \left( \varSigma +u^2\right) \right) , \end{aligned}$$
(91b)
$$\begin{aligned}&K'=2 K \left( 2 C_2 \varSigma ^2+K+2 u^2-1\right) , \end{aligned}$$
(91c)
$$\begin{aligned}&u'= \frac{\sqrt{2} \left( A^2 \lambda ^2-w^2\right) }{\lambda }+u \left( 2 C_2 \varSigma ^2+K-2\right) +2 u^3, \end{aligned}$$
(91d)
$$\begin{aligned}&w'= w \left( 2 C_2 \varSigma ^2+K+\varSigma +2 u^2-\frac{\sqrt{2} u}{\lambda }\right) , \end{aligned}$$
(91e)

with restrictions

$$\begin{aligned}&-\frac{1}{3} A \left( 2 C_2 \varSigma +\sqrt{2} \lambda u\right) =0, \end{aligned}$$
(92a)
$$\begin{aligned}&-2 C_2 \left( A^2+\varSigma ^2\right) -A^2 \lambda ^2-2 K-2 u^2+2 w^2+2=0. \end{aligned}$$
(92b)

Afterwards, the restrictions are solved to find:

$$\begin{aligned}&u= -\frac{\sqrt{2} C_2 \varSigma }{\lambda }, \end{aligned}$$
(93a)
$$\begin{aligned}&K= -C_2 \left( A^2+\varSigma ^2\right) -\frac{A^2 \lambda ^2}{2}-\frac{2 C_2^2 \varSigma ^2}{\lambda ^2}+w^2+1. \end{aligned}$$
(93b)

Therefore, the following reduced 3-dimensional dynamical system is obtained :

$$\begin{aligned}&\varSigma '=C_2 \left( \varSigma ^3-A^2 \varSigma \right) +\frac{1}{2} \varSigma \left( -A^2 \lambda ^2+2 w^2-2\right) \nonumber \\&\qquad \; +\frac{(w-A \lambda ) (A \lambda +w)}{C_2}+\frac{2 C_2^2 \varSigma ^3}{\lambda ^2}, \end{aligned}$$
(94a)
$$\begin{aligned}&A'= -\frac{1}{2} A^3 \lambda ^2+A C_2 \left( \varSigma ^2-A^2\right) +\frac{2 A C_2^2 \varSigma ^2}{\lambda ^2} \nonumber \\&\qquad \; +A \left( 2 \varSigma +w^2+1\right) , \end{aligned}$$
(94b)
$$\begin{aligned}&w'=w \left( \frac{C_2 \left( \lambda ^2 \left( \varSigma ^2-A^2\right) +2 C_2 \varSigma ^2+2 \varSigma \right) }{\lambda ^2}\right. \nonumber \\&\qquad \; \left. -\frac{A^2 \lambda ^2}{2} +\varSigma +w^2+1\right) . \end{aligned}$$
(94c)

The equilibrium points of the system (94) are the following.

\(N_1\)::

\((\varSigma ,A,w)=(0,0,0)\) with eigenvalues \(\{-1,1,1\}\) is a hyperbolic saddle.

\(Q_1\)::

\((\varSigma ,A,w)=\left( -\frac{1}{2}, \frac{\sqrt{C_2}}{\sqrt{2} \lambda },0\right) \), with eigenvalues

\(\left\{ \frac{1}{2}-\frac{{C_2}}{\lambda ^2},\frac{1}{2} \left( -\frac{\sqrt{8 {C_2}^2+(4 {C_2}-7) \lambda ^2}}{\lambda }-1\right) \right. \),

\(\left. \frac{1}{2} \left( \frac{\sqrt{8 {C_2}^2+(4 {C_2}-7) \lambda ^2}}{\lambda }-1\right) \right\} \). It is:

  1. (a)

    a hyperbolic sink for:

    1. (i)

      \(0<\lambda \le \frac{\sqrt{7}}{2}, \; \frac{\lambda }{4} \sqrt{\lambda ^2+14}-\frac{\lambda ^2}{4}<{C_2}< \frac{\lambda }{4}\sqrt{\lambda ^2+16}-\frac{\lambda ^2}{4}\), or

    2. (ii)

      \(\frac{\sqrt{7}}{2}<\lambda<\sqrt{2}, \; \frac{\lambda ^2}{2}<{C_2}<\frac{\lambda }{4} \sqrt{\lambda ^2+16}-\frac{\lambda ^2}{4}\), or

    3. (iii)

      \(0<\lambda<\frac{\sqrt{7}}{2}, \; \frac{\lambda ^2}{2}<{C_2}\le \frac{1}{4} \sqrt{\lambda ^4+14 \lambda ^2}-\frac{\lambda ^2}{4}\).

  2. (b)

    and a hyperbolic saddle for:

    1. (i)

      \(0<\lambda \le \sqrt{2}, \; {C_2}>\frac{\lambda }{4} \sqrt{\lambda ^2+16 }-\frac{\lambda ^2}{4}\), or

    2. (ii)

      \(\lambda>\sqrt{2}, \; {C_2}>\frac{\lambda ^2}{2}\), or

    3. (iii)

      \(\lambda >\sqrt{2}, \; \frac{\lambda }{4} \sqrt{\lambda ^2+16}-\frac{\lambda ^2}{4}<{C_2}<\frac{\lambda ^2}{2}\), or

    4. (iv)

      \(\frac{\sqrt{7}}{2}<\lambda \le \sqrt{2}, \; \frac{\lambda }{4} \sqrt{\lambda ^2+14}-\frac{\lambda ^2}{4}<{C_2}<\frac{\lambda ^2}{2}\), or

    5. (v)

      \(\lambda >\sqrt{2}, \; \frac{\lambda }{4} \sqrt{\lambda ^2+14}-\frac{\lambda ^2}{4}<{C_2}<\frac{\lambda }{4} \sqrt{\lambda ^2+16}-\frac{\lambda ^2}{4}\), or

    6. (vi)

      \(0<\lambda \le \frac{\sqrt{7}}{2}, \; 0<{C_2}<\frac{\lambda ^2}{2}\), or

    7. (vii)

      \(\lambda >\frac{\sqrt{7}}{2}, \; 0<{C_2}\le \frac{\lambda }{4} \sqrt{\lambda ^2+14}-\frac{\lambda ^2}{4}\).

  3. (c)

    non-hyperbolic for:

    1. (i)

      \(\lambda >0, \; {C_2}=\frac{\lambda ^2}{2}\), or

    2. (ii)

      \(\lambda >0, \; {C_2}=\frac{\lambda }{4} \sqrt{\lambda ^2+16}-\frac{\lambda ^2}{4}\).

\(Q_2\)::

\((\varSigma ,A,w)=\left( -\frac{\lambda ^2}{C_2 \left( 2 C_2+\lambda ^2\right) }, \frac{\sqrt{4 C_2^2+2 (C_2-1) \lambda ^2}}{\sqrt{C_2} \left( 2 C_2+\lambda ^2\right) },0\right) \) with eigenvalues

\(\left\{ \frac{1}{C_2}{-}\frac{4}{2 C_2+\lambda ^2},-\frac{8}{2 C_2{+}\lambda ^2}{+}\frac{4}{C_2}{-}2,-\frac{4}{2 C_2{+}\lambda ^2}+\frac{2}{C_2}-2\right\} \). It exist for \(\lambda >0\),

\({C_2}\ge \frac{1}{4} \lambda \sqrt{\lambda ^2+8}-\frac{\lambda ^2}{4}\), and it is:

  1. (a)

    a hyperbolic sink for:

    1. (i)

      \(0<\lambda \le \sqrt{2}, C_2>\frac{\lambda }{4} \sqrt{\lambda ^2+16}-\frac{\lambda ^2}{4}\), or

    2. (ii)

      \(\lambda>\sqrt{2}, C_2>\frac{\lambda ^2}{2}\).

  2. (b)

    a hyperbolic saddle for:

    1. (i)

      \(0<\lambda \le 1, \frac{\lambda }{4} \sqrt{\lambda ^2+8}-\frac{\lambda ^2}{4}<C_2<\frac{\lambda }{4} \sqrt{\lambda ^2+16}-\frac{\lambda ^2}{4}\), or

    2. (ii)

      \(1<\lambda<\sqrt{2}, \frac{\lambda ^2}{2}<C_2<\frac{\lambda }{4} \sqrt{\lambda ^2+16}-\frac{\lambda ^2}{4}\), or

    3. (iii)

      \(1<\lambda \le \sqrt{2}, \frac{\lambda }{4} \sqrt{\lambda ^2+8}-\frac{\lambda ^2}{4}<C_2<\frac{\lambda ^2}{2}\), or

    4. (iv)

      \(\lambda >\sqrt{2}, \frac{\lambda }{4} \sqrt{\lambda ^2+8}-\frac{\lambda ^2}{4}<C_2<\frac{\lambda }{4} \sqrt{\lambda ^2+16}-\frac{\lambda ^2}{4}\), or

    5. (v)

      \(\lambda >\sqrt{2}, \frac{\lambda }{4} \sqrt{\lambda ^2+16}-\frac{\lambda ^2}{4}<C_2<\frac{\lambda ^2}{2}\).

  3. (c)

    non-hyperbolic for:

    1. (i)

      \(\lambda \ge 1, C_2=\frac{\lambda ^2}{2}\), or

    2. (ii)

      \(C_2=\frac{1}{4} \left( -\lambda ^2-\sqrt{\lambda ^2+16} \lambda \right) \), or

    3. (iii)

      \(C_2=\frac{1}{4} \left( \lambda \sqrt{\lambda ^2+16}-\lambda ^2\right) \), or

    4. (iv)

      \(C_2=\frac{1}{4} \left( -\lambda ^2-\sqrt{\lambda ^2+8} \lambda \right) \), or

    5. (v)

      \(C_2=\frac{1}{4} \left( \lambda \sqrt{\lambda ^2+8}-\lambda ^2\right) \).

\(Q_3\)::

\((\varSigma ,A,w)=\left( -\frac{\lambda }{\sqrt{C_2 \left( 2 C_2+\lambda ^2\right) }},0,0\right) \) with eigenvalues

\(\left\{ 2,2-\frac{2 \lambda }{\sqrt{C_2 \left( 2 C_2+\lambda ^2\right) }},2-\frac{\sqrt{C_2 \left( 2 C_2+\lambda ^2\right) }}{C_2 \lambda }\right\} \). It is:

  1. (a)

    a hyperbolic source for:

    1. (i)

      \(\frac{1}{\sqrt{2}}<\lambda \le 1, C_2>\frac{\lambda ^2}{4 \lambda ^2-2}\), or

    2. (ii)

      \(\lambda>1, C_2>\frac{\lambda }{4} \sqrt{\lambda ^2+8}-\frac{\lambda ^2}{4}\).

  2. (b)

    a hyperbolic saddle for:

    1. (i)

      \(\lambda >0, 0<C_2<\frac{\lambda }{4} \sqrt{\lambda ^2+8}-\frac{\lambda ^2}{4}\), or

    2. (ii)

      \(0<\lambda \le \frac{1}{\sqrt{2}}, {C_2}>0\), or

    3. (iii)

      \(\lambda >1, \frac{\lambda ^2}{4 \lambda ^2-2}<C_2<\frac{1}{4} \sqrt{\lambda ^4+8 \lambda ^2}-\frac{\lambda ^2}{4}\), or

    4. (iv)

      \(0<\lambda \le \frac{1}{\sqrt{2}}, C_2>\frac{1}{4} \sqrt{\lambda ^4+8 \lambda ^2}-\frac{\lambda ^2}{4}\), or

    5. (v)

      \(\frac{1}{\sqrt{2}}<\lambda<1, \frac{1}{4} \sqrt{\lambda ^4+8 \lambda ^2}-\frac{\lambda ^2}{4}<C_2<\frac{\lambda ^2}{4 \lambda ^2-2}\), or

    6. (vi)

      \(\lambda >\frac{1}{\sqrt{2}}, 0<{C_2}<\frac{\lambda ^2}{4 \lambda ^2-2}\).

  3. (c)

    non-hyperbolic for:

    1. (i)

      \(0<\lambda \le \frac{1}{\sqrt{2}}, C_2=\frac{1}{4} \sqrt{\lambda ^4+8 \lambda ^2}-\frac{\lambda ^2}{4}\), or

    2. (ii)

      \(\frac{1}{\sqrt{2}}<\lambda <1, C_2=\frac{1}{4} \sqrt{\lambda ^4+8 \lambda ^2}-\frac{\lambda ^2}{4}\), or

    3. (iii)

      \(\frac{1}{\sqrt{2}}<\lambda <1, C_2=\frac{\lambda ^2}{4 \lambda ^2-2}\), or

    4. (iv)

      \(\lambda =1, C_2=\frac{1}{2}\), or

    5. (v)

      \(\lambda >1, C_2=\frac{\lambda ^2}{4 \lambda ^2-2}\), or

    6. (vi)

      \(\lambda >1, C_2=\frac{1}{4} \sqrt{\lambda ^4+8 \lambda ^2}-\frac{\lambda ^2}{4}\).

\(Q_4\)::

\((\varSigma ,A,w)=\left( \frac{\lambda }{\sqrt{C_2 \left( 2 C_2+\lambda ^2\right) }},0,0\right) \) with eigenvalues

\(\left\{ 2,\frac{2 \lambda }{\sqrt{C_2 \left( 2 C_2+\lambda ^2\right) }}+2,\frac{\sqrt{C_2 \left( 2 C_2+\lambda ^2\right) }}{C_2 \lambda }+2\right\} \). It is a hyperbolic source for \(\lambda>0, C_2>0\).

\(Q_{5,6}\)::

\((\varSigma ,A,w)=\left( -\frac{1}{2 {C_2}},0,\pm \frac{\sqrt{{C_2} \left( 2-4 \lambda ^2\right) +\lambda ^2}}{2 \sqrt{{C_2}} \lambda }\right) \) with eigenvalues \(\left\{ \frac{1}{\lambda ^2}-\frac{1}{2 {C_2}},\frac{1}{{C_2}}+\frac{2}{\lambda ^2}-2,\frac{1}{2 {C_2}}+\frac{1}{\lambda ^2}-2\right\} \). Exists for \(0<\lambda \le \frac{1}{\sqrt{2}}, {C_2}>0\) o \(\lambda >\frac{1}{\sqrt{2}}, 0<{C_2}\le \frac{\lambda ^2}{4 \lambda ^2-2}\). It is:

  1. (a)

    a hyperbolic source for:

    1. (i)

      \(0<\lambda \le \frac{1}{\sqrt{2}}, \; {C_2}>\frac{\lambda ^2}{2}\), or

    2. (ii)

      \(\frac{1}{\sqrt{2}}<\lambda<1, \; \frac{\lambda ^2}{2}<{C_2}<\frac{\lambda ^2}{4 \lambda ^2-2}\).

  2. (b)

    a hyperbolic saddle for:

    1. (i)

      \(0<\lambda \le 1, 0<C_2<\frac{\lambda ^2}{2}\), or

    2. (ii)

      \(\lambda >1, 0<C_2<\frac{\lambda ^2}{4 \lambda ^2-2}\).

  3. (c)

    non-hyperbolic for:

    1. (i)

      \(C_2=\frac{1}{2}, \lambda =1\), or

    2. (ii)

      \(C_2=\frac{\lambda ^2}{2}, 0<\lambda <1\), or

    3. (iii)

      \(C_2=\frac{\lambda ^2}{4 \lambda ^2-2}, \lambda >1\), or

    4. (iv)

      \(C_2=\frac{\lambda ^2}{4 \lambda ^2-2}, \frac{1}{\sqrt{2}}<\lambda <1\).

\(Q_{7,8}\)::

\((\varSigma ,A,w)=\left( 0, \frac{1}{\sqrt{C_2-\frac{\lambda ^2}{2}}},\pm \frac{\lambda }{\sqrt{C_2-\frac{\lambda ^2}{2}}}\right) \) with eigenvalues

\(\left\{ -\frac{\mu _1(\lambda ,C_2)}{C_2 \lambda \left( 2 C_2-\lambda ^2\right) ^{3/2}} ,-\frac{\mu _2(\lambda ,C_2)}{C_2 \lambda \left( 2 C_2-\lambda ^2\right) ^{3/2}} ,-\frac{\mu _3(\lambda ,C_2)}{C_2 \lambda \left( 2 C_2-\lambda ^2\right) ^{3/2}} \right\} \)

where the expressions for \(\mu _i\) depend on \(\lambda , C_2\). They exist for \(C_2\ge \frac{\lambda ^2}{2}\). In Fig. 10, the real parts of the \(\mu _i\)’s are depicted, so, the equilibrium points are typically saddles or non-hyperbolic with three zero eigenvalues.

7.2 Invariant set \(\varSigma =0\)

Imposing \(\varSigma =0\) the following restrictions are deduced:

$$\begin{aligned}&\varOmega = -\frac{2 \left( \gamma v^2-v^2+1\right) \left( w^2-A^2 \lambda ^2\right) }{-3 \gamma +\gamma v^2-2 v^2+2}, \end{aligned}$$
(95a)
$$\begin{aligned}&K=\frac{1}{2} \left( A^2 \left( -\left( 2 C_2+\lambda ^2\right) \right) -2 u^2+2 w^2+2 \right. \nonumber \\&\qquad \; \left. +\frac{4 \left( \gamma +v^2-1\right) (w-A \lambda ) (A \lambda +w)}{-3 \gamma +(\gamma -2) v^2+2}\right) , \end{aligned}$$
(95b)
$$\begin{aligned}&2 A^2 \gamma \lambda ^2 v+\sqrt{2} A \lambda u \left( 3 \gamma -(\gamma -2) v^2-2\right) -2 \gamma v w^2=0. \end{aligned}$$
(95c)

Finally a reduced dynamical system for the invariant set \(\varSigma =0\) is obtained

$$\begin{aligned}&A'= \frac{1}{2} A \left( -2 A^2 C_2+A^2 \lambda ^2+\frac{\sqrt{2} A \lambda u \left( v^2+1\right) }{v}+2 u^2+2\right) , \end{aligned}$$
(96a)
$$\begin{aligned}&v'= \frac{\left( v^2-1\right) \left( A \left( 3 \gamma ^2-5 \gamma +(\gamma -2) v^2+2\right) +2 (\gamma -1) \gamma v\right) }{\gamma \left( \gamma -v^2-1\right) }, \end{aligned}$$
(96b)
$$\begin{aligned}&u'=\frac{ u \left( -2 A^2 C_2 v+A \left( A \lambda ^2 v+\sqrt{2} \lambda u \left( v^2+1\right) +2 v^2-6\right) +2 \left( u^2-1\right) v\right) }{2 v} \nonumber \\&\qquad \; -\frac{2 A u \left( v^2-1\right) }{\gamma v}. \end{aligned}$$
(96c)
Fig. 10
figure 10

Real parts of the \(\mu _i\)’s associated to the equilibrium points \(Q_{7,8}: (\varSigma ,A,w)=\left( 0, \frac{1}{\sqrt{C_2-\frac{\lambda ^2}{2}}},\pm \frac{\lambda }{\sqrt{C_2-\frac{\lambda ^2}{2}}}\right) \). The equilibrium points are typically saddles or non-hyperbolic with three zero eigenvalues, depending on the choice of parameters

The equilibrium points of system (96) are the following.

\(N_{2,3}\)::

\((A,v,u)=(0,\pm 1,0)\) has eigenvalues \(\left\{ -1,1,\frac{4}{\gamma -2}+4\right\} \). They are non-hyperbolic saddles for \(\lambda>0, \gamma =1, C_2>0\), or, generically, they are saddles because two eigenvalues have opposite signs.

\(M_{1,2}\)::

\((A,v,u)=(0,1,\pm 1)\) and

\(M_{3,4}\)::

\((A,v,u)=(0,-1,\pm 1)\) with eigenvalues \(\left\{ 2,2,\frac{4}{\gamma -2}+4\right\} \). They are:

  1. (a)

    hyperbolic sources for \(\lambda>0, 0<\gamma <1, C_2>0\), or

  2. (b)

    hyperbolic saddles for \(\lambda>0, 1<\gamma <2, C_2>0\), or

  3. (c)

    non-hyperbolic for \(\lambda>0, \gamma =1, C_2>0\).

\(Q_9\)::

\((A,v,u)=\left( \frac{1}{\sqrt{C_2-\frac{\lambda ^2}{2}}},1,0\right) \) exists for \(\lambda >0, C_2\ge \frac{\lambda ^2}{2}\). The eigenvalues are

\(\left\{ -2,-\frac{2}{\sqrt{C_2-\frac{\lambda ^2}{2}}}-2,\frac{-4 \gamma -\frac{6 \gamma }{\sqrt{C_2-\frac{\lambda ^2}{2}}}+\frac{8}{\sqrt{C_2-\frac{\lambda ^2}{2}}}+4}{2-\gamma }\right\} \). \(Q_9\) is:

  1. (a)

    a hyperbolic sink for

    1. (i)

      \(\lambda>0, 1<\gamma \le \frac{4}{3}, C_2>\frac{1}{4} \left( \frac{(4-3 \gamma )^2}{(\gamma -1)^2}+2 \lambda ^2\right) \), or

    2. (ii)

      \(\lambda>0, \frac{4}{3}<\gamma <2, 2 C_2>\lambda ^2\).

  2. (b)

    a hyperbolic saddle for

    1. (i)

      \(1<\gamma <\frac{4}{3}, \lambda >0, C_2=\frac{1}{4} \left( \frac{(4-3 \gamma )^2}{(\gamma -1)^2}+2 \lambda ^2\right) \), or

    2. (ii)

      \(\lambda>0, 0<\gamma \le 1, 2 C_2>\lambda ^2\).

  3. (c)

    non-hyperbolic for \(1<\gamma <\frac{4}{3}, \lambda >0\),

    \( C_2=\frac{1}{4} \left( \frac{(4-3 \gamma )^2}{(\gamma -1)^2}+2 \lambda ^2\right) \).

\(Q_{10}\)::

\((A,v,u)=\left( \frac{1}{\sqrt{C_2-\frac{\lambda ^2}{2}}},-1,0\right) \) exists for \(C_2\ge \frac{\lambda ^2}{2}\). The eigenvalues are

\(\left\{ -2,\frac{2}{\sqrt{C_2-\frac{\lambda ^2}{2}}}-2,\frac{-4 \gamma +\frac{6 \gamma }{\sqrt{C_2-\frac{\lambda ^2}{2}}}-\frac{8}{\sqrt{C_2-\frac{\lambda ^2}{2}}}+4}{2-\gamma }\right\} \). \(Q_{10}\) is:

  1. (a)

    a hyperbolic sink for:

    1. (i)

      \(\lambda>0, 2 C_2>\lambda ^2+2, 1\le \gamma <2\), or

    2. (ii)

      \(\lambda >0, 0<\gamma <1\),

      \(\frac{1}{2} \left( \lambda ^2+2\right)<C_2<\frac{1}{4} \left( \frac{(4-3 \gamma )^2}{(\gamma -1)^2}+2 \lambda ^2\right) \).

  2. (b)

    a hyperbolic saddle for:

    1. (i)

      \(\lambda >0, 0<\gamma<2, 0<2 C_2-\lambda ^2<2\), or

    2. (ii)

      \(\lambda>0, 0<\gamma <1, C_2>\frac{1}{4} \left( \frac{(4-3 \gamma )^2}{(\gamma -1)^2}+2 \lambda ^2\right) \), or

    3. (iii)

      \(\lambda >0, \frac{4}{3}<\gamma <2\), \(\frac{\lambda ^2}{2}<C_2<\frac{1}{4} \left( \frac{(4-3 \gamma )^2}{(\gamma -1)^2}+2 \lambda ^2\right) \), or

    4. (iv)

      \(\lambda >0, 0<\gamma \le \frac{4}{3}, 0<2 C_2-\lambda ^2<2\), or

    5. (v)

      \(\lambda>0, 3 \gamma >4\),

      \(\frac{1}{4} \left( \frac{(4-3 \gamma )^2}{(\gamma -1)^2}+2 \lambda ^2\right)<C_2<\frac{1}{2} \left( \lambda ^2+2\right) \).

  3. (c)

    non-hyperbolic for:

    1. (i)

      \(\lambda >0, 0<\gamma <2, 2 C_2=\lambda ^2+2\), or

    2. (ii)

      \(C_2=\frac{1}{4} \left( \frac{(4-3 \gamma )^2}{(\gamma -1)^2}+2 \lambda ^2\right) , 0<\gamma <1, \lambda >0\), or

    3. (iii)

      \(C_2=\frac{1}{4} \left( \frac{(4-3 \gamma )^2}{(\gamma -1)^2}+2 \lambda ^2\right) , \frac{4}{3}<\gamma <2, \lambda >0\).

\(Q_{11}\)::

\((A,v,u)=\left( 1,-1,\frac{\lambda }{\sqrt{2}}-\sqrt{C_2-1}\right) \) exists for \(C_2\ge 1\). The eigenvalues are

\(\Big \{-2,-\sqrt{-2 \sqrt{2} \sqrt{{C_2}-1} \lambda +4 {C_2}-3}-1\),

\(\sqrt{-2 \sqrt{2} \sqrt{{C_2}-1} \lambda +4 {C_2}-3}-1\Big \}\). \(Q_{11}\) is:

  1. (a)

    a hyperbolic sink for:

    1. (i)

      \(1<C_2<2, \lambda =\sqrt{2}, 0<\gamma <2\), or

    2. (ii)

      \(C_2>1, 0<\lambda<\sqrt{2}, 0<\gamma<2, 2 C_2<\lambda ^2+2\), or

    3. (iii)

      \(C_2>1, \lambda >\sqrt{2}, 0<\gamma<2, 4 C_2+\lambda \sqrt{\lambda ^2-2}<\lambda ^2+3\), or

    4. (iv)

      \(\lambda >\sqrt{2}, 0<\gamma<2, 2 C_2<\lambda ^2+2, \lambda \left( \sqrt{\lambda ^2-2}+\lambda \right) +3<4 C_2\), or

    5. (v)

      \(\lambda >\sqrt{2}, 0<\gamma <2, \lambda \left( \sqrt{\lambda ^2-2}+\lambda \right) +3\ge 4 C_2, 4 C_2+\lambda \sqrt{\lambda ^2-2}\ge \lambda ^2+3\).

  2. (b)

    a hyperbolic saddle for \(\lambda>0, 0<\gamma <2, C_2>\frac{1}{2} \left( \lambda ^2+2\right) \).

  3. (c)

    non-hyperbolic for:

    1. (i)

      \(C_2=1 , 0<\gamma <2, \lambda >0\), or

    2. (ii)

      \(2 C_2=\lambda ^2+2 , 0<\gamma <2, \lambda >0\).

\(Q_{12}\)::

\((A,v,u)=\left( 1,-1,\frac{\lambda }{\sqrt{2}}+\sqrt{C_2-1}\right) \) exists for \(C_2\ge 1\). The eigenvalues are \(\Big \{-2,-\sqrt{2 \sqrt{2} \sqrt{{C_2}-1} \lambda +4 {C_2}-3}-1\),

\(\sqrt{2 \sqrt{2} \sqrt{{C_2}-1} \lambda +4 {C_2}-3}-1\Big \}\). \(Q_{12}\) is:

  1. (a)

    a hyperbolic saddle for \(\lambda>0, 0<\gamma <2, {C_2}>1\).

  2. (b)

    non-hyperbolic for \(\lambda >0, 0<\gamma <2, {C_2}=1\).

\(Q_{13}\)::

\((A,v,u)=\left\{ \frac{\varDelta \left( \varGamma +(\gamma -1)^2 \gamma ^2 \left( 2 {C_2}-\lambda ^2\right) \right) }{(\gamma -1)^2 \gamma (3 \gamma -2) \left( 2 {C_2}-\lambda ^2\right) },-\varDelta ,0\right\} \) where \(\varDelta =\sqrt{\frac{-\varGamma +\gamma \left( \gamma \left( (\gamma -1)^2 \left( -\lambda ^2\right) -3 \gamma +2 (\gamma -1)^2 {C_2}+11\right) -12\right) +4}{(\gamma -2)^2}}\) and

\(\varGamma =\sqrt{(\gamma -1)^3 \gamma ^2 \left( 2 {C_2}-\lambda ^2\right) \left( \gamma \left( \gamma \left( -(\gamma -1) \lambda ^2+2 (\gamma -1) {C_2}-6\right) +16\right) -8\right) }\),

exists for:

  1. (a)

    \(\lambda>0, \gamma =1, C_2>0\), or

  2. (b)

    \(\lambda >0, 2 C_2\ge \lambda ^2, 0<\gamma \le \frac{2}{3}\), or

  3. (c)

    \(\lambda>0, 2 C_2>\lambda ^2, 1<\gamma <2\) or

  4. (d)

    \(\lambda >0, \frac{2}{3}<\gamma <1\),

    \(\gamma \left( \gamma \left( -(\gamma -1) \lambda ^2+2 (\gamma -1) C_2-6\right) +16\right) <8\).

The eigenvalues are \(\Big \{-2,\frac{\varGamma }{(\gamma -1)^2 \gamma \left( 2 {C_2}-\lambda ^2\right) }-\gamma \),

\(\gamma +\frac{(\gamma -2) \gamma \left( 4 \gamma (\gamma -1)^2+\varGamma \right) }{2 (\gamma -1)^3 \left( \gamma \left( -\gamma \lambda ^2+2 \gamma {C_2}-8\right) +8\right) }+\frac{(3 \gamma -4) \varGamma }{2 (\gamma -1)^3 \gamma \left( \lambda ^2-2 {C_2}\right) }-2\Big \}\). \(Q_{13}\) is:

  1. (a)

    a hyperbolic sink for \(\lambda >0, \frac{2}{3}<\gamma <1\),

    \({C_2}>\frac{\gamma ^3 \lambda ^2-\gamma ^2 \lambda ^2+6 \gamma ^2-16 \gamma +8}{2 \gamma ^3-2 \gamma ^2}\).

  2. (b)

    a hyperbolic saddle for:

    1. (i)

      \(\lambda>0, 1<\gamma <2, 2 {C_2}>\lambda ^2\), or

    2. (ii)

      \(\lambda>0, 0<\gamma <\frac{2}{3}, 2 {C_2}>\lambda ^2\), or

    3. (iii)

      \(\lambda >0, 1<\gamma \le \frac{4}{3}, \frac{\lambda ^2}{2}<{C_2}<\frac{\gamma ^2 \lambda ^2+8 \gamma -8}{2 \gamma ^2}\), or

    4. (iv)

      \(\lambda >0, \frac{4}{3}<\gamma<2, \frac{2 \gamma ^2 \lambda ^2+9 \gamma ^2-4 \gamma \lambda ^2-24 \gamma +2 \lambda ^2+16}{4 \gamma ^2-8 \gamma +4}<{C_2}<\frac{\gamma ^2 \lambda ^2+8 \gamma -8}{2 \gamma ^2}\).

  3. (c)

    non-hyperbolic for:

    1. (i)

      \(\lambda >0, \frac{4}{3}<\gamma <2, {C_2}=\frac{2 \gamma ^2 \lambda ^2+9 \gamma ^2{-}4 \gamma \lambda ^2{-}24 \gamma {+}2 \lambda ^2+16}{4 \gamma ^2-8 \gamma +4}\)

    2. (ii)

      \(\lambda>0, \gamma =\frac{2}{3}, C_2>\frac{\lambda ^2}{2}\).

\(Q_{14}\)::

\((A,v,u)=\left\{ \frac{\varDelta \left( -\varGamma +(\gamma -1)^2 \gamma ^2 \left( 2 {C_2}-\lambda ^2\right) \right) }{(\gamma -1)^2 \gamma (3 \gamma -2) \left( 2 {C_2}-\lambda ^2\right) },-\varDelta ,0\right\} \) where \(\varDelta =\sqrt{\frac{-\varGamma +\gamma \left( \gamma \left( (\gamma -1)^2 \left( -\lambda ^2\right) -3 \gamma +2 (\gamma -1)^2 {C_2}+11\right) -12\right) +4}{(\gamma -2)^2}}\) and

\(\varGamma =\sqrt{(\gamma -1)^3 \gamma ^2 \left( 2 {C_2}-\lambda ^2\right) \left( \gamma \left( \gamma \left( -(\gamma -1) \lambda ^2+2 (\gamma -1) {C_2}-6\right) +16\right) -8\right) }\),

exists for:

  1. (a)

    \(\lambda>0, C_2>0, \gamma =1\), or

  2. (b)

    \(\lambda>0, C_2>0, 3 \gamma =2\), or

  3. (c)

    \(\lambda >0, 2 C_2\ge \lambda ^2, 0<\gamma <\frac{2}{3}\), or

  4. (d)

    \(\lambda >0, 2 C_2\ge \lambda ^2, 1<\gamma <2\), or

  5. (e)

    \(\lambda >0, \frac{2}{3}<\gamma <1\),

    \(\gamma \left( \gamma \left( -(\gamma -1) \lambda ^2+2 (\gamma -1) C_2-6\right) +16\right) <8\).

The eigenvalues are \(\Big \{-2,\frac{-\varGamma }{(\gamma -1)^2 \gamma \left( 2 {C_2}-\lambda ^2\right) }-\gamma \),

\(\gamma +\frac{(\gamma -2) \gamma \left( 4 (\gamma -1)^2 \gamma -\varGamma \right) }{2 (\gamma -1)^3 \left( \gamma \left( -\gamma \lambda ^2+2 \gamma {C_2}-8\right) +8\right) }-\frac{(3 \gamma -4) \varGamma }{2 (\gamma -1)^3 \gamma \left( \lambda ^2-2 {C_2}\right) }-2\Big \}\). \(Q_{14}\) is:

  1. (a)

    a hyperbolic sink for:

    1. (i)

      \(\lambda>0, 0<\gamma <\frac{2}{3}, C_2>\frac{1}{4} \left( \frac{(4-3 \gamma )^2}{(\gamma -1)^2}+2 \lambda ^2\right) \), or

    2. (ii)

      \(\lambda>0, 3 \gamma =2, 2 C_2>\lambda ^2+18\), or

    3. (iii)

      \(\lambda>0, \frac{2}{3}<\gamma <1, C_2>\frac{1}{4} \left( \frac{(4-3 \gamma )^2}{(\gamma -1)^2}+2 \lambda ^2\right) \), or

    4. (iv)

      \(\lambda >0, 3 \gamma +\sqrt{13}=7\),

      \( 2 C_2<\lambda ^2+\sqrt{13}+7, \left( 7 \sqrt{13}-31\right) \left( 2 C_2-\lambda ^2\right) <12 \left( \sqrt{13}-4\right) \), or

    5. (v)

      \(\lambda >0, 3 \gamma +\sqrt{13}=7, 18 C_2+\sqrt{13}<9 \lambda ^2+11, \lambda ^2<2 C_2\), or

    6. (vi)

      \(\lambda>0, C_2<\frac{1}{4} \left( \frac{(4-3 \gamma )^2}{(\gamma -1)^2}+2 \lambda ^2\right) , \frac{4 (\gamma -1)}{\gamma ^2}+\frac{\lambda ^2}{2}<C_2, \gamma >1, 3 \gamma +\sqrt{13}<7\), or

    7. (vii)

      \(\lambda>0, C_2<\frac{1}{4} \left( \frac{(4-3 \gamma )^2}{(\gamma -1)^2}+2 \lambda ^2\right) , 3 \gamma +\sqrt{13}>7, \gamma +\mu _1<0\) where \(\mu _1\approx -1.22033\) is the real root of \(P(\mu )=9 \mu ^3+22 \mu ^2+20 \mu +8\), or

    8. (viii)

      \(\lambda >0, C_2<\frac{1}{4} \left( \frac{(4-3 \gamma )^2}{(\gamma -1)^2}+2 \lambda ^2\right) , 3 \gamma <4\), \(\lambda ^2<2 C_2, \gamma +\mu _1>0\) where \(\mu _1\approx -1.22033\) is the real root of \(P(\mu )=9 \mu ^3+22 \mu ^2+20 \mu +8\), or

    9. (ix)

      \(\lambda>0, 2 C_2>\lambda ^2, \frac{8}{\gamma ^2}+2 C_2<\frac{8}{\gamma }+\lambda ^2, 3 \gamma +\sqrt{13}>7, \gamma +\mu _1\le 0\) where \(\mu _1\approx -1.22033\) is the real root of \(P(\mu )=9 \mu ^3+22 \mu ^2+20 \mu +8\), or

    10. (x)

      \(\lambda>0, 2 C_2>\lambda ^2, \frac{8}{\gamma ^2}+2 C_2<\frac{8}{\gamma }+\lambda ^2, 3 \gamma +\sqrt{13}<7\).

  2. (b)

    a hyperbolic saddle for:

    1. (i)

      \(\lambda >0, \frac{2}{3}<\gamma <1\),

      \(\frac{(\gamma -2) (3 \gamma -2)}{(\gamma -1) \gamma ^2}+\frac{\lambda ^2}{2}<C_2<\frac{1}{4} \left( \frac{(4-3 \gamma )^2}{(\gamma -1)^2}+2 \lambda ^2\right) \), or

    2. (ii)

      \(\lambda>0, 3 \gamma +\sqrt{13}=7, 2 C_2>\lambda ^2+\sqrt{13}+7\), or

    3. (iii)

      \(\lambda>0, C_2>\frac{1}{4} \left( \frac{(4-3 \gamma )^2}{(\gamma -1)^2}+2 \lambda ^2\right) , \gamma >1, 3 \gamma +\sqrt{13}<7\), or

    4. (iv)

      \(\lambda>0, C_2>\frac{1}{4} \left( \frac{(4-3 \gamma )^2}{(\gamma -1)^2}+2 \lambda ^2\right) , 3 \gamma +\sqrt{13}>7, \gamma +\mu _1<0\) where \(\mu _1\approx -1.22033\) is the real root of \(P(\mu )=9 \mu ^3+22 \mu ^2+20 \mu +8\), or

    5. (v)

      \(\lambda >0, C_2<\frac{4 (\gamma -1)}{\gamma ^2}+\frac{\lambda ^2}{2}, 3 \gamma <4\),

      \(\frac{1}{4} \left( \frac{(4-3 \gamma )^2}{(\gamma -1)^2}+2 \lambda ^2\right) <C_2\), or

    6. (vi)

      \(\lambda>0, \gamma<2, 2 C_2>\lambda ^2, 3 \gamma \ge 4, \frac{8}{\gamma ^2}+2 C_2<\frac{8}{\gamma }+\lambda ^2\), or

    7. (vii)

      \(\lambda>0, \gamma <2, \frac{8}{\gamma ^2}+2 C_2>\frac{8}{\gamma }+\lambda ^2, \gamma +\mu _1\ge 0\), or

    8. (viii)

      \(\lambda >0, 0<\gamma<\frac{2}{3}, \frac{\lambda ^2}{2}<C_2<\frac{1}{4} \left( \frac{(4-3 \gamma )^2}{(\gamma -1)^2}+2 \lambda ^2\right) \), or

    9. (ix)

      \(\lambda >0, 3 \gamma =2, 0<2 C_2-\lambda ^2<18\).

  3. (c)

    non-hyperbolic for:

    1. (i)

      \(C_2=\frac{1}{4} \left( \frac{(4-3 \gamma )^2}{(\gamma -1)^2}+2 \lambda ^2\right) , 0<\gamma <1\), or

    2. (ii)

      \(C_2=\frac{1}{4} \left( \frac{(4-3 \gamma )^2}{(\gamma -1)^2}+2 \lambda ^2\right) , 1<\gamma <\chi _1\) (where \(\chi _1\approx 1.22033\) is the real root of \(P(\chi )=9 \chi ^3-22 \chi ^2+20 \chi -8\)), or

    3. (iii)

      \(\lambda >0, \chi _1<\gamma <\frac{4}{3}\) where \(\chi _1\approx 1.22033\) is the real root of \(P(\chi )=9 \chi ^3-22 \chi ^2+20 \chi -8\).

7.3 Invariant sets \(v=\pm 1\)

Assuming \(v=\varepsilon =\pm 1\), the system is reduced to the following 4-dimensional dynamical system:

$$\begin{aligned} \varSigma '&= \frac{C_2 \varSigma \left( 2 C_2 \left( \varSigma ^2-A^2\right) -A \left( A \lambda ^2+4 \varepsilon \right) +2 u^2+2 w^2-2\right) }{2 C_2} \nonumber \\&\quad -\frac{A \lambda \left( A \lambda +\sqrt{2} u \varepsilon \right) -2 w^2}{C_2}, \end{aligned}$$
(97a)
$$\begin{aligned} A'&=-\frac{1}{2} A^3 \lambda ^2+A C_2 \left( \varSigma ^2-A^2\right) \nonumber \\&\quad +A \left( 2 \varSigma +u^2+w^2+1\right) , \end{aligned}$$
(97b)
$$\begin{aligned} u'&= C_2 u \left( \varSigma ^2-A^2\right) +u \left( -\frac{A^2 \lambda ^2}{2}+w^2-1\right) \nonumber \\&\quad +\frac{\sqrt{2} \left( A^2 \lambda ^2-w^2\right) }{\lambda }+u^3, \end{aligned}$$
(97c)
$$\begin{aligned} w'&=w \left( C_2\left( \varSigma ^2-A^2\right) -\frac{A^2 \lambda ^2}{2}\right. \nonumber \\&\quad \left. +\varSigma +u^2-\frac{\sqrt{2} u}{\lambda }+w^2+1\right) . \end{aligned}$$
(97d)

The equilibrium points of the systems (97) for \(\varepsilon =\pm 1\) are the following:

\(N_1\)::

\((\varSigma ,A,u,w)=(0,0,0,0)\) with eigenvalues \(\{-1,-1,1,1\}\) is a hyperbolic saddle.

\(Q_{15,16}\)::

\((\varSigma ,A,u,w)=\left( \varSigma _0 ,0,\varepsilon \sqrt{1-C_2 \varSigma _0 ^2},0\right) \) with eigenvalues

\(\left\{ 0,2,2 (\varSigma _0 +1),-\varepsilon \frac{\sqrt{2-2 C_2 \varSigma _0 ^2}}{\lambda }+\varSigma _0 +2\right\} \). This line of equilibrium points contains the equilibrium points \(P_1,P_2,P_3,P_4\) studied in Sect. 4. It exists for \(\lambda >0, 0<C_2\le \frac{1}{\varSigma ^2}\) y \(\varSigma \in {{\mathbb {R}}}\). This line is a normally-hyperbolic invariant set. Indeed, the parametric curve can be expressed as:

$$\begin{aligned} \mathbf{r }(\varSigma _0)= \left( \varSigma _0, 0, \varepsilon \sqrt{1-C_2 \varSigma _0 ^2}, 0\right) , \end{aligned}$$

Its tangent vector evaluated at \(\varSigma _0\):

$$\begin{aligned} \mathbf{r }'(\varSigma _0)=\left( 1,0,-\frac{\varepsilon C_2 \varSigma _0}{\sqrt{1-C_2 \varSigma _0 ^2}},0\right) , \end{aligned}$$

is parallel to the eigenvector corresponding to the zero eigevalue:

$$\begin{aligned} \mathbf{v }(\varSigma _0)=\left( -\frac{\sqrt{1-C_2 \varSigma _0 ^2}}{\varepsilon C_2 \varSigma _0},0,1,0\right) . \end{aligned}$$

In this particular case, the stability can be studied considering only the signs of the real parts of the non-zero eigenvalues. In this way it is concluded that:

  1. (a)

    \(Q_{15}\) is a hyperbolic source for:

    1. (i)

      \(C_2>0, \varSigma _0=\frac{1}{\sqrt{C_2}}, \lambda >0, 1<\gamma <2\), or

    2. (ii)

      \(C_2>1, \varSigma _0=-\frac{1}{\sqrt{C_2}}, \lambda >0, 1<\gamma <2\), or

    3. (iii)

      \(0<C_2\le 1, -1<\varSigma _0<\sqrt{\frac{1}{C_2}}\),

      \(\lambda >\sqrt{2} \sqrt{\frac{1-C_2 \varSigma _0^2}{(\varSigma _0+2)^2}}, 1<\gamma <2\), or

    4. (iv)

      \(C_2>1,-\sqrt{\frac{1}{C_2}}<\varSigma _0<\sqrt{\frac{1}{C_2}}\),

      \(\lambda >\sqrt{2} \sqrt{\frac{1-C_2 \varSigma _0^2}{(\varSigma _0+2)^2}}, 1<\gamma <2\), or

    5. (v)

      \(C_2\le 0, \varSigma _0>-1\),

      \( \lambda >\sqrt{2} \sqrt{\frac{1-C_2 \varSigma _0^2}{(\varSigma _0+2)^2}}, 1<\gamma <2\)

  2. (b)

    \(Q_{15}\) is a hyperbolic saddle for:

    1. (i)

      \(\frac{1}{4}<C_2<1, \varSigma _0=-\frac{1}{\sqrt{C_2}}, \lambda >0, 1<\gamma <2\), or

    2. (ii)

      \(0<C_2\le \frac{1}{4}, -2<\varSigma _0<-1\),

      \(\lambda >\sqrt{2} \sqrt{\frac{1-C_2 \varSigma _0^2}{(\varSigma _0+2)^2}}, 1<\gamma <2\), or

    3. (iii)

      \(\frac{1}{4}<C_2<1, -\sqrt{\frac{1}{C_2}}<\varSigma _0<-1\),

      \(\lambda >\sqrt{2} \sqrt{\frac{1-C_2 \varSigma _0^2}{(\varSigma _0+2)^2}}, 1<\gamma <2\), or

    4. (iv)

      \(0<C_2\le 1, -1<\varSigma _0<\sqrt{\frac{1}{C_2}}\),

      \(0<\lambda<\sqrt{2} \sqrt{\frac{1-C_2 \varSigma _0^2}{(\varSigma _0+2)^2}}, 1<\gamma <2\), or

    5. (v)

      \(C_2>1, -\sqrt{\frac{1}{C_2}}<\varSigma _0<\sqrt{\frac{1}{C_2}}\),

      \( 0<\lambda<\sqrt{2} \sqrt{\frac{1-C_2 \varSigma _0^2}{(\varSigma _0+2)^2}}, 1<\gamma <2\), or

    6. (vi)

      \(0<C_2<\frac{1}{4}, -\sqrt{\frac{1}{C_2}}\le \varSigma _0\le -2\),

      \( \lambda >0, 1<\gamma <2\), or

    7. (vii)

      \(\frac{1}{4}\le C_2<1, -\sqrt{\frac{1}{C_2}}<\varSigma _0<-1\),

      \( 0<\lambda<\sqrt{2} \sqrt{\frac{1-C_2 \varSigma _0^2}{(\varSigma _0+2)^2}}, 1<\gamma <2\), or

    8. (viii)

      \(0<C_2<\frac{1}{4}, -2<\varSigma _0<-1\),

      \( 0<\lambda<\sqrt{2} \sqrt{\frac{1-C_2 \varSigma _0^2}{(\varSigma _0+2)^2}}, 1<\gamma <2\).

  3. (c)

    \(Q_{15}\) is non-hyperbolic for:

    1. (i)

      \(C_2=\frac{1}{4}, \varSigma _0=-2\),

      \( \lambda >0, 1<\gamma <2\), or

    2. (ii)

      \(C_2=\frac{1}{4}, \varSigma _0=-1\),

      \( \lambda >0, 1<\gamma <2\), or

    3. (iii)

      \(0<C_2<\frac{1}{4}, \varSigma _0=-1\),

      \( \lambda >0, 1<\gamma <2\), or

    4. (iv)

      \(\frac{1}{4}<C_2\le 1, \varSigma _0=-1\),

      \( \lambda >0, 1<\gamma <2\), or

    5. (v)

      \(C_2>1, -\sqrt{\frac{1}{C_2}}<\varSigma _0<\sqrt{\frac{1}{C_2}}\),

      \(\lambda =\sqrt{\frac{2(1-C_2 \varSigma _0^2)}{(\varSigma _0+2)^2}}, 1<\gamma <2\), or

    6. (vi)

      \(C_2=\frac{1}{4}, -2<\varSigma _0<-1\),

      \( \lambda =\frac{1}{2} \sqrt{\frac{8}{\varSigma _0+2}-2}, 1<\gamma <2\), or

    7. (vii)

      \(C_2=\frac{1}{4}, -1<\varSigma _0<2\),

      \( \lambda =\frac{1}{2} \sqrt{\frac{8}{\varSigma _0+2}-2}, 1<\gamma <2\), or

    8. (viii)

      \(0<C_2<\frac{1}{4}, -1<\varSigma _0<\sqrt{\frac{1}{C_2}}\),

      \( \lambda =\sqrt{\frac{2(1-C_2 \varSigma _0^2)}{(\varSigma _0+2)^2}}, 1<\gamma <2\), or

    9. (ix)

      \(0<C_2<\frac{1}{4}, -2<\varSigma _0<-1 \),

      \( \lambda =\sqrt{\frac{2(1-C_2 \varSigma _0^2)}{(\varSigma _0+2)^2}}, 1<\gamma <2\), or

    10. (x)

      \(\frac{1}{4}<C_2\le 1, -1<\varSigma _0<\sqrt{\frac{1}{C_2}}\),

      \( \lambda =\sqrt{\frac{2(1-C_2 \varSigma _0^2)}{(\varSigma _0+2)^2}}, 1<\gamma <2\), or

    11. (xi)

      \(\frac{1}{4}<C_2<1, -\sqrt{\frac{1}{C_2}}<\varSigma _0<-1\),

      \( \lambda =\sqrt{\frac{2(1-C_2 \varSigma _0^2)}{(\varSigma _0+2)^2}}, 1<\gamma <2\).

Furthermore,

  1. (a)

    \(Q_{16}\) is a hyperbolic source for:

    1. (i)

      \(C_2\le 0, \varSigma _0>-1, \lambda >0, 1<\gamma <2\), or

    2. (ii)

      \(0<C_2\le 1, -1<\varSigma _0\le \sqrt{\frac{1}{C_2}}\),

      \( \lambda >0, 1<\gamma <2\), or

    3. (iii)

      \(C_2>1, -\sqrt{\frac{1}{C_2}}\le \varSigma _0 \le \sqrt{\frac{1}{C_2}}\),

      \( \lambda >0, 1<\gamma <2\).

  2. (b)

    \(Q_{16}\) is a hyperbolic saddle for:

    1. (i)

      \(C_2=\frac{1}{4}, -2<\varSigma _0<-1\),

      \( \lambda >0, 1<\gamma <2\), or

    2. (ii)

      \(0<C_2<\frac{1}{4}, -\sqrt{\frac{1}{C_2}}<\varSigma _0<-2\),

      \( 0<\lambda<\sqrt{2} \sqrt{\frac{1-C_2 \varSigma _0^2}{(\varSigma _0+2)^2}}, 1<\gamma <2\), or

    3. (iii)

      \(\frac{1}{4}<C_2<1, -\sqrt{\frac{1}{C_2}}\le \varSigma _0<-1\),

      \( \lambda >0, 1<\gamma <2\), or

    4. (iv)

      \(0<C_2<\frac{1}{4}, -2\le \varSigma _0<-1\),

      \( \lambda >0, 1<\gamma <2\), or

    5. (v)

      \(0<C_2<\frac{1}{4}, \varSigma _0=-\frac{1}{\sqrt{C_2}}\),

      \( \lambda >0, 1<\gamma <2\), or

    6. (vi)

      \(0<C_2<\frac{1}{4}, -\sqrt{\frac{1}{C_2}}<\varSigma _0<-2\),

      \( \lambda >\sqrt{2} \sqrt{\frac{1-C_2 \varSigma _0^2}{(\varSigma _0+2)^2}}, 1<\gamma <2\).

  3. (c)

    \(Q_{16}\) is non-hyperbolic for

    1. (i)

      \(C_2=\frac{1}{4}, \varSigma _0=-2, \lambda >0, 1<\gamma <2\), or

    2. (ii)

      \(0<C_2\le 1, \varSigma _0=-1, \lambda >0, 1<\gamma <2\), or

    3. (iii)

      \(0<C_2<\frac{1}{4}, -\sqrt{\frac{1}{C_2}}<\varSigma _0<-2\),

      \(\lambda =\sqrt{\frac{2-2 C_2 \varSigma _0^2}{(\varSigma _0+2)^2}}, 1<\gamma <2\).

Fig. 11
figure 11

Real parts of the \(\mu _i\)’s corresponding to \(Q_{17,18}:(\varSigma ,A,u,w)=\left( -\frac{1}{2},-\frac{1}{2} \varepsilon ,\frac{\lambda }{2 \sqrt{2}},0\right) \)

\(Q_{17,18}\)::

\((\varSigma ,A,u,w)=\left( -\frac{1}{2}, -\varepsilon \frac{1}{2},\frac{\lambda }{2 \sqrt{2}},0\right) \) where one eigenvalue is zero and the other three eigenvalues are the roots of the polynomial in \(\mu \):

\(P(\mu )=\mu ^3+\mu ^2+\mu \left( \frac{\lambda ^2}{2 C_2}-C_2-\frac{\lambda ^2}{2}+1\right) -\frac{\lambda ^2}{2 C_2}-C_2+\frac{\lambda ^2}{2}+1\). It is either a non-hyperbolic saddle or a center depending on the choice of parameters. Figure 11 graphically represents the real part of the \(\mu _i \) corresponding to the equilibrium point \(Q_{17,18}\), illustrating that the equilibrium points have saddle behavior or they are non-hyperbolic.

\(Q_{19}\)::

\((\varSigma ,A,u,w)=\left( -\frac{1}{2 C_2},0,\frac{1}{\sqrt{2} \lambda }, \frac{1}{2} \sqrt{\frac{1}{C_2}+\frac{2}{\lambda ^2}-4}\right) \) with eigenvalues \(\Big \{\frac{1}{\lambda ^2}-\frac{1}{2 C_2}, \frac{1}{2} \left( \frac{1}{C_2}+\frac{2}{\lambda ^2}-4\right) \),

\(\frac{1}{2} \left( \frac{1}{C_2}+\frac{2}{\lambda ^2}-4\right) , \frac{1}{C_2}+\frac{2}{\lambda ^2}-2\Big \}\).

It exists for \(0<\lambda \le \frac{1}{\sqrt{2}}, C_2>0\), or \(\lambda >\frac{1}{\sqrt{2}}, 0<C_2\le \frac{\lambda ^2}{4 \lambda ^2-2}\).

  1. (a)

    is a hyperbolic source for:

    1. (i)

      \(0<\lambda \le \frac{1}{\sqrt{2}}, C_2>\frac{\lambda ^2}{2}\), or

    2. (ii)

      \(\frac{1}{\sqrt{2}}<\lambda<1, \frac{\lambda ^2}{2}<C_2<\frac{\lambda ^2}{4 \lambda ^2-2}\).

  2. (b)

    is a hyperbolic saddle for:

    1. (i)

      \(\lambda >1, 0<C_2<\frac{\lambda ^2}{4 \lambda ^2-2}\), or

    2. (ii)

      \(0<\lambda \le 1, 0<C_2<\frac{\lambda ^2}{2}\).

  3. (c)

    is non-hyperbolic for:

    1. (i)

      \(C_2=\frac{1}{2}, \lambda =1\), or

    2. (ii)

      \(C_2=\frac{\lambda ^2}{2}, 0<\lambda <1\), or

    3. (iii)

      \(C_2=\frac{\lambda ^2}{4 \lambda ^2-2}, \frac{1}{\sqrt{2}}<\lambda <1\), or

    4. (iv)

      \(C_2=\frac{\lambda ^2}{4 \lambda ^2-2}, \lambda >1\).

\(Q_{20,21}\)::

\((\varSigma ,A,u,w)=\left( -\frac{1}{2}, \varepsilon \frac{\sqrt{C_2}}{\sqrt{2} \lambda },\frac{C_2}{\sqrt{2} \lambda },0\right) \) with eigenvalues

\(\left\{ \frac{1}{2}-\frac{C_2}{\lambda ^2}, \frac{\sqrt{2} \sqrt{C_2}}{\lambda }-1, -\frac{1}{2} \left( 1+\frac{\sqrt{8 C_2^2+4 C_2 \lambda ^2-7 \lambda ^2}}{\lambda }\right) \right. \),

\(\left. -\frac{1}{2} \left( 1-\frac{\sqrt{8 C_2^2+4 C_2 \lambda ^2-7 \lambda ^2}}{\lambda }\right) \right\} \). They are:

  1. (a)

    hyperbolic saddles for:

    1. (i)

      \(0<\lambda \le \frac{\sqrt{7}}{2}\),

      \( \frac{1}{4} \sqrt{\lambda ^4+14 \lambda ^2}-\frac{\lambda ^2}{4}<C_2<\frac{1}{4} \sqrt{\lambda ^4+16 \lambda ^2}-\frac{\lambda ^2}{4}\), or

    2. (ii)

      \(\frac{\sqrt{7}}{2}<\lambda<\sqrt{2}, \frac{\lambda ^2}{2}<C_2<\frac{1}{4} \sqrt{\lambda ^4+16 \lambda ^2}-\frac{\lambda ^2}{4}\), or

    3. (iii)

      \(0<\lambda <\frac{\sqrt{7}}{2}\),

      \( \frac{\lambda ^2}{2}<C_2\le \frac{1}{4} \sqrt{\lambda ^4+14 \lambda ^2}-\frac{\lambda ^2}{4}\), or

    4. (iv)

      \(\lambda>\sqrt{2}, C_2>\frac{\lambda ^2}{2}\)

    5. (v)

      \(0<\lambda \le \sqrt{2}, C_2>\frac{1}{4} \sqrt{\lambda ^4+16 \lambda ^2}-\frac{\lambda ^2}{4}\), or

    6. (vi)

      \(\lambda >\sqrt{2}, \frac{1}{4} \sqrt{\lambda ^4+16 \lambda ^2}-\frac{\lambda ^2}{4}<C_2<\frac{\lambda ^2}{2}\), or

    7. (vii)

      \(\frac{\sqrt{7}}{2}<\lambda \le \sqrt{2}\),

      \( \frac{1}{4} \sqrt{\lambda ^4+14 \lambda ^2}-\frac{\lambda ^2}{4}<C_2<\frac{\lambda ^2}{2}\), or

    8. (viii)

      \(\lambda >\sqrt{2}, \frac{1}{4} \sqrt{\lambda ^4+14 \lambda ^2}-\frac{\lambda ^2}{4}<C_2<\frac{1}{4} \sqrt{\lambda ^4+16 \lambda ^2}-\frac{\lambda ^2}{4}\), or

    9. (ix)

      \(0<\lambda \le \frac{\sqrt{7}}{2}\), \( 0<C_2<\frac{\lambda ^2}{2}\)

    10. (x)

      \(\lambda >\frac{\sqrt{7}}{2}\), \( 0<C_2\le \frac{1}{4} \sqrt{\lambda ^4+14 \lambda ^2}-\frac{\lambda ^2}{4}\).

  2. (b)

    non-hyperbolic for:

    1. (i)

      \(\lambda >0, C_2=\frac{\lambda ^2}{2}\), or

    2. (ii)

      \(\lambda >0, C_2=\frac{1}{4} \sqrt{\lambda ^4+16 \lambda ^2}-\frac{\lambda ^2}{4}\).

\(Q_{22,23}\)::

\((\varSigma ,A,u,w)=\left( -\frac{1}{2}, -\varepsilon \frac{\sqrt{C_2}}{\sqrt{2} \lambda },\frac{C_2}{\sqrt{2} \lambda },0\right) \) with eigenvalues

\(\left\{ \frac{1}{2}-\frac{C_2}{\lambda ^2}, -\frac{\sqrt{2} \sqrt{C_2}}{\lambda }-1, -\frac{1}{2} \left( 1+\frac{\sqrt{8 C_2^2+4 C_2 \lambda ^2-7 \lambda ^2}}{\lambda }\right) \right. \),

\(\left. -\frac{1}{2} \left( 1-\frac{\sqrt{8 C_2^2+4 C_2 \lambda ^2-7 \lambda ^2}}{\lambda }\right) \right\} \). They are:

  1. (a)

    hyperbolic sinks for:

    1. (i)

      \(0<\lambda \le \frac{\sqrt{7}}{2}\),

      \( \frac{1}{4} \sqrt{\lambda ^4+14 \lambda ^2}-\frac{\lambda ^2}{4}<C_2<\frac{1}{4} \sqrt{\frac{\lambda ^6+14 \lambda ^4+2}{\lambda ^2}}-\frac{\lambda ^2}{4}\), or

    2. (ii)

      \(\frac{\sqrt{7}}{2}<\lambda <1.35095\),

      \( \frac{\lambda ^2}{2}<C_2<\frac{1}{4} \sqrt{\frac{\lambda ^6+14 \lambda ^4+2}{\lambda ^2}}-\frac{\lambda ^2}{4}\), or

    3. (iii)

      \(0<\lambda <\frac{\sqrt{7}}{2}\), \( \frac{\lambda ^2}{2}<C_2\le \frac{1}{4} \sqrt{\lambda ^4+14 \lambda ^2}-\frac{\lambda ^2}{4}\).

  2. (b)

    hyperbolic saddles for:

    1. (i)

      \(0<\lambda \le \frac{\sqrt{7}}{2}\),

      \( \frac{1}{4} \sqrt{\lambda ^4+14 \lambda ^2}-\frac{\lambda ^2}{4}<C_2<\frac{1}{4} \sqrt{\lambda ^4+16 \lambda ^2}-\frac{\lambda ^2}{4}\), or

    2. (ii)

      \(\frac{\sqrt{7}}{2}<\lambda<\sqrt{2}, \frac{\lambda ^2}{2}<C_2<\frac{1}{4} \sqrt{\lambda ^4+16 \lambda ^2}-\frac{\lambda ^2}{4}\), or

    3. (iii)

      \(0<\lambda <\frac{\sqrt{7}}{2}\),

      \( \frac{\lambda ^2}{2}<C_2\le \frac{1}{4} \sqrt{\lambda ^4+14 \lambda ^2}-\frac{\lambda ^2}{4}\), or

    4. (iv)

      \(0<\lambda \le \sqrt{2}, C_2>\frac{1}{4} \sqrt{\lambda ^4+16 \lambda ^2}-\frac{\lambda ^2}{4}\), or

    5. (v)

      \(\lambda>\sqrt{2}, C_2>\frac{\lambda ^2}{2}\), or

    6. (vi)

      \(\lambda >\sqrt{2}, \frac{1}{4} \sqrt{\lambda ^4+16 \lambda ^2}-\frac{\lambda ^2}{4}<C_2<\frac{\lambda ^2}{2}\), or

    7. (vii)

      \(\frac{\sqrt{7}}{2}<\lambda \le \sqrt{2}, \frac{1}{4} \sqrt{\lambda ^4+14 \lambda ^2}-\frac{\lambda ^2}{4}<C_2<\frac{\lambda ^2}{2}\), or

    8. (viii)

      \(\lambda >\sqrt{2}\),

      \(\frac{1}{4} \sqrt{\lambda ^4+14 \lambda ^2}-\frac{\lambda ^2}{4}<C_2<\frac{1}{4} \sqrt{\lambda ^4+16 \lambda ^2}-\frac{\lambda ^2}{4}\), or

    9. (ix)

      \(0<\lambda \le \frac{\sqrt{7}}{2}\),

      \( 0<C_2<\frac{\lambda ^2}{2}\), or

    10. (x)

      \(\lambda >\frac{\sqrt{7}}{2}, 0<C_2\le \frac{1}{4} \sqrt{\lambda ^4+14 \lambda ^2}-\frac{\lambda ^2}{4}\).

  3. (c)

    non-hyperbolic for:

    1. (i)

      \(\lambda >0, C_2=\frac{\lambda ^2}{2}\), or

    2. (ii)

      \(\lambda >0, C_2=\frac{1}{4} \sqrt{\lambda ^4+16 \lambda ^2}-\frac{\lambda ^2}{4}\).

\(Q_{24,25}\)::

\((\varSigma ,A,u,w)=\left( -\frac{\lambda ^2}{2 C_2^2+C_2 \lambda ^2},-\varepsilon \delta ,\frac{\sqrt{2} \lambda }{2 C_2+\lambda ^2},0\right) \) with eigenvalues \(\Big \{\frac{1}{C_2}-\frac{4}{2 C_2+\lambda ^2},-\frac{8}{2 C_2+\lambda ^2}+\frac{4}{C_2}-2\),

\( -\frac{4}{2 C_2+\lambda ^2}+\frac{2}{C_2}-2,2 \delta +\frac{2 \lambda ^2}{C_2 \left( 2 C_2+\lambda ^2\right) }-2\Big \}\),

where \(\delta =\sqrt{\frac{4 C_2^2+2 (C_2-1) \lambda ^2}{C_2 \left( 2 C_2+\lambda ^2\right) ^2}}\). They exist for:

\(\lambda >0, C_2\ge \frac{1}{4} \sqrt{\lambda ^4+8 \lambda ^2}-\frac{\lambda ^2}{4}\). They are:

  1. (a)

    hyperbolic sinks for:

    1. (i)

      \(0<\lambda \le \sqrt{2}, C_2>1\), or

    2. (ii)

      \(\lambda>\sqrt{2}, C_2>\frac{\lambda ^2}{2}\).

  2. (b)

    hyperbolic saddles for:

    1. (i)

      \(0<\lambda<\sqrt{2}, \frac{1}{4} \sqrt{\lambda ^4+16 \lambda ^2}-\frac{\lambda ^2}{4}<C_2<1\), or

    2. (ii)

      \(0<\lambda \le 1, \frac{1}{4} \sqrt{\lambda ^4+8 \lambda ^2}-\frac{\lambda ^2}{4}<C_2<\frac{1}{4} \sqrt{\lambda ^4+16 \lambda ^2}-\frac{\lambda ^2}{4}\), or

    3. (iii)

      \(1<\lambda<\sqrt{2}, \frac{\lambda ^2}{2}<C_2<\frac{1}{4} \sqrt{\lambda ^4+16 \lambda ^2}-\frac{\lambda ^2}{4}\)o,

    4. (iv)

      \(\lambda >\sqrt{2}, \frac{1}{4} \sqrt{\lambda ^4+16 \lambda ^2}-\frac{\lambda ^2}{4}<C_2<\frac{\lambda ^2}{2}\), or

    5. (v)

      \(\lambda >\sqrt{2}, 1<C_2<\frac{1}{4} \sqrt{\lambda ^4+16 \lambda ^2}-\frac{\lambda ^2}{4}\).

  3. (c)

    non-hyperbolic for

    1. (i)

      \(\lambda \ge 1, C_2=\frac{\lambda ^2}{2}\), or

    2. (ii)

      \(\lambda >0, C_2=\frac{1}{4} \sqrt{\lambda ^4+8 \lambda ^2}-\frac{\lambda ^2}{4}\), or

    3. (iii)

      \(\lambda >0, C_2=\frac{1}{4} \sqrt{\lambda ^4+16 \lambda ^2}-\frac{\lambda ^2}{4}\), or

    4. (iv)

      \(\lambda >0, C_2=1\).

\(Q_{26,27}\)::

\((\varSigma ,A,u,w)=\left( -\frac{\lambda ^2}{2 C_2^2+C_2 \lambda ^2},\varepsilon \delta ,\frac{\sqrt{2} \lambda }{2 C_2+\lambda ^2},0\right) \) with eigenvalues \(\Big \{\frac{1}{C_2}-\frac{4}{2 C_2+\lambda ^2},-\frac{8}{2 C_2+\lambda ^2}+\frac{4}{C_2}-2\),

\( -\frac{4}{2 C_2+\lambda ^2}+\frac{2}{C_2}-2,-2 \delta +\frac{2 \lambda ^2}{C_2 \left( 2 C_2+\lambda ^2\right) }-2\Big \}\),

where \(\delta =\sqrt{\frac{4 C_2^2+2 (C_2-1) \lambda ^2}{C_2 \left( 2 C_2+\lambda ^2\right) ^2}}\). They exist for:

\(\lambda >0, C_2\ge \frac{1}{4} \sqrt{\lambda ^4+8 \lambda ^2}-\frac{\lambda ^2}{4}\). They are:

  1. (a)

    hyperbolic sinks for:

    1. (i)

      \(0<\lambda \le \sqrt{2}, C_2>\frac{1}{4} \sqrt{\lambda ^4+16 \lambda ^2}-\frac{\lambda ^2}{4}\), or

    2. (ii)

      \(\lambda>\sqrt{2}, C_2>\frac{\lambda ^2}{2}\).

  2. (b)

    hyperbolic saddles for:

    1. (i)

      \(0<\lambda \le 1\),

      \( \frac{1}{4} \sqrt{\lambda ^4+8 \lambda ^2}-\frac{\lambda ^2}{4}<C_2<\frac{1}{4} \sqrt{\lambda ^4+16 \lambda ^2}-\frac{\lambda ^2}{4}\), or

    2. (ii)

      \(1<\lambda<\sqrt{2}, \frac{\lambda ^2}{2}<C_2<\frac{1}{4} \sqrt{\lambda ^4+16 \lambda ^2}-\frac{\lambda ^2}{4}\), or

    3. (iii)

      \(\lambda >\sqrt{2}, \frac{1}{4} \sqrt{\lambda ^4+16 \lambda ^2}-\frac{\lambda ^2}{4}<C_2<\frac{\lambda ^2}{2}\), or

    4. (iv)

      \(1<\lambda \le \sqrt{2}, \frac{1}{4} \sqrt{\lambda ^4+8 \lambda ^2}-\frac{\lambda ^2}{4}<C_2<\frac{\lambda ^2}{2}\), or

    5. (v)

      \(\lambda >\sqrt{2}\),

      \( \frac{1}{4} \sqrt{\lambda ^4+8 \lambda ^2}-\frac{\lambda ^2}{4}<C_2<\frac{1}{4} \sqrt{\lambda ^4+16 \lambda ^2}-\frac{\lambda ^2}{4}\).

  3. (c)

    non-hyperbolic for:

    1. (i)

      \(\lambda \ge 1, C_2=\frac{\lambda ^2}{2}\), or

    2. (ii)

      \(\lambda >0, C_2=\frac{1}{4} \sqrt{\lambda ^4+16 \lambda ^2}-\frac{\lambda ^2}{4}\), or

    3. (iii)

      \(\lambda >0, C_2=\frac{1}{4} \sqrt{\lambda ^4+8 \lambda ^2}-\frac{\lambda ^2}{4}\).

\(Q_{28}\)::

\((\varSigma ,A,u,w)=\)

\(\left( \frac{C_2-1}{\lambda ^2}-\frac{1}{2},\frac{1-C_2}{\lambda ^2}-\frac{1}{2},\frac{-2 C_2+\lambda ^2+2}{2 \sqrt{2} \lambda },\frac{ \sqrt{(C_2-1) \left( 2 C_2+\lambda ^2-2\right) }}{\lambda }\right) \). Exists for \(\lambda>0, C_2>0, 2 C_2+\lambda ^2\le 2\) or \(\lambda >0, C_2\ge 1\) with eigenvalues \(\left\{ \frac{4-4 C_2}{\lambda ^2},\frac{e_1(\lambda ,C_2)}{32 C_2 \lambda ^{12}},\frac{e_2(\lambda ,C_2)}{32 C_2 \lambda ^{12}},\frac{e_3(\lambda ,C_2)}{32 C_2 \lambda ^{12}}\right\} \). In Fig. 12 the real parts of \( e_i \) are shown, where it can be seen that the point is a hyperbolic saddle or a non-hyperbolic behavior.

\(Q_{29}\)::

\((\varSigma ,A,u,w)= \Bigg (-\frac{\lambda ^2}{2 C_2+\lambda ^2},0,\frac{\sqrt{2} C_2 \lambda }{2 C_2+\lambda ^2}\),

\(\sqrt{-\frac{(1-4 C_2)^2 C_2 \lambda ^2 \left( 2 (4 C_2-1) \lambda ^2-4 C_2+\lambda ^4\right) ^2}{2 C_2+\lambda ^2}}\Bigg )\). It exists for:

  1. (a)

    \(C_2=\frac{1}{4}, \lambda >0\), or

  2. (b)

    \(C_2=\frac{\lambda ^2 \left( \lambda ^2-2\right) }{4-8 \lambda ^2}, 1<\lambda <\sqrt{2}\), or

  3. (c)

    \(C_2=\frac{\lambda ^2 \left( \lambda ^2-2\right) }{4-8 \lambda ^2}, \frac{1}{\sqrt{2}}<\lambda <1\).

    Figure 13 graphically represents the real part of the eigenvalues of the equilibrium point \(Q_{29}: (\varSigma ,A,u,w)=\)

    \(\left( -\frac{\lambda ^2}{2 C_2+\lambda ^2},0,\frac{\sqrt{2} C_2 \lambda }{2 C_2+\lambda ^2}, 0\right) \), \(C_2 \in \left\{ \frac{1}{4}, \frac{\lambda ^2 \left( \lambda ^2-2\right) }{4-8 \lambda ^2}\right\} \), for different choices of the parameter \(\lambda \). This figure illustrates that the point has a general saddle behavior.

Fig. 12
figure 12

Reals parts of \(e_i\) corresponding to the equilibrium point \(Q_{28}: (\varSigma ,A,u,w)=\left( \frac{C_2-1}{\lambda ^2}-\frac{1}{2},\frac{1-C_2}{\lambda ^2}-\frac{1}{2},\frac{-2 C_2+\lambda ^2+2}{2 \sqrt{2} \lambda },\frac{ \sqrt{(C_2-1) \left( 2 C_2+\lambda ^2-2\right) }}{\lambda }\right) \)

Fig. 13
figure 13

Real parts of the eigenvalues of the equilibrium point \((\varSigma ,A,u,w)=\left( -\frac{\lambda ^2}{2 C_2+\lambda ^2},0,\frac{\sqrt{2} C_2 \lambda }{2 C_2+\lambda ^2}, 0\right) \), \(C_2 \in \left\{ \frac{1}{4}, \frac{\lambda ^2 \left( \lambda ^2-2\right) }{4-8 \lambda ^2}\right\} \), for different choices \(\lambda \)

\(Q_{30}\)::

\((\varSigma ,A,u,w)=\Bigg (0, \frac{1}{\sqrt{C_2-\frac{\lambda ^2}{2}}},0\),

\(\sqrt{2} \sqrt{-\frac{\lambda ^2 \left( -2 C_2+\lambda ^2+8\right) ^2 \left( 2 (2 C_2+1) \lambda ^2+4 (C_2-1) C_2+\lambda ^4\right) ^2}{\lambda ^2-2 C_2}}\Bigg )\) with \(\varepsilon =1\) exists for \(\lambda >0, C_2\ge \frac{\lambda ^2}{2}\), with eigenvalues

\(\Big \{-\frac{f_1(\lambda ,C_2)}{2 C_2 \lambda \left( \lambda ^2-2 C_2\right) ^2}, -\frac{f_2(\lambda ,C_2)}{2 C_2 \lambda \left( \lambda ^2-2 C_2\right) ^2}, -\frac{f_3(\lambda ,C_2)}{2 C_2 \lambda \left( \lambda ^2-2 C_2\right) ^2}\),

\(-\frac{f_4(\lambda ,C_2)}{2 C_2 \lambda \left( \lambda ^2-2 C_2\right) ^2}\Big \}\). The real parts of \(f_i\)’s are represented in Fig. 14 (left panel).

\(Q_{31}\)::

\((\varSigma ,A,u,w)=\Bigg (0, \frac{1}{\sqrt{C_2-\frac{\lambda ^2}{2}}},0\),

\(\sqrt{2} \sqrt{-\frac{\lambda ^2 \left( -2 C_2+\lambda ^2+8\right) ^2 \left( 2 (2 C_2+1) \lambda ^2+4 (C_2-1) C_2+\lambda ^4\right) ^2}{\lambda ^2-2 C_2}}\Bigg )\) with \(\varepsilon =-1\) exists for \(\lambda >0, C_2\ge \frac{\lambda ^2}{2}\) with eigenvalues

\(\Big \{\frac{g_1(\lambda ,C_2)}{C_2 \lambda \left( 2 C_2-\lambda ^2\right) ^{3/2}}, \frac{g_2(\lambda ,C_2)}{C_2 \lambda \left( 2 C_2-\lambda ^2\right) ^{3/2}}, \frac{g_3(\lambda ,C_2)}{C_2 \lambda \left( 2 C_2-\lambda ^2\right) ^{3/2}}\),

\(\frac{g_4(\lambda ,C_2)}{C_2 \lambda \left( 2 C_2-\lambda ^2\right) ^{3/2}}\Big \}\). The real parts of the \(g_i\)’s are represented in Fig. 14 (right panel). Summarizing, according to Fig. 14 these equilibrium points, \(Q_{30}\) and \(Q_{31}\), are either sources or they are non-hyperbolic (with four pure imaginary eigenvalues).

7.4 Invariant set \(A=v=0\)

At the invariant set \(A=v=0\), the equations are reduced to:

$$\begin{aligned}&\varSigma '= 2 C_2 \varSigma ^3+\frac{-\frac{3 \gamma \varOmega }{2}+w^2+\varOmega }{C_2}+\varSigma \left( K+2 u^2-2\right) , \end{aligned}$$
(98a)
$$\begin{aligned}&K'= 2 K \left( 2 C_2 \varSigma ^2+K+2 u^2-1\right) , \end{aligned}$$
(98b)
$$\begin{aligned}&u'=u \left( 2 C_2 \varSigma ^2+K-2\right) +2 u^3-\frac{\sqrt{2} w^2}{\lambda }, \end{aligned}$$
(98c)
$$\begin{aligned}&w'= w \left( 2 C_2 \varSigma ^2+K+\varSigma +2 u^2-\frac{\sqrt{2} u}{\lambda }\right) , \end{aligned}$$
(98d)

with restriction

$$\begin{aligned} C_2 \varSigma ^2+K+u^2 -(1-\gamma )\varOmega _t-w^2 =1. \end{aligned}$$
(98e)

For \(1<\gamma \le 2\), we have the auxiliary equation:

$$\begin{aligned} \varOmega _t'= \varOmega _t \left( \left( \frac{1}{\gamma -1}+3\right) \varSigma +4 C_2 \varSigma ^2+2 K+4 u^2\right) . \end{aligned}$$
(98f)

7.4.1 Reduced system

For \(1<\gamma \le 2\), the restriction (98e) can be globally solved for \(\varOmega _t\), leading to the reduced system:

$$\begin{aligned} \varSigma '&=\frac{(3 \gamma -2) \left( C_2 \varSigma ^2+K+u^2-w^2-1\right) }{2 (\gamma -1) C_2} \nonumber \\&\quad +2 C_2 \varSigma ^3+\frac{w^2}{C_2}+\varSigma \left( K+2 u^2-2\right) , \end{aligned}$$
(99a)
$$\begin{aligned} K'&= 2 K \left( 2 C_2 \varSigma ^2+K+2 u^2-1\right) \end{aligned}$$
(99b)
$$\begin{aligned} u'&= u \left( 2 C_2 \varSigma ^2+K+2 u^2-2\right) -\frac{\sqrt{2} w^2}{\lambda }, \end{aligned}$$
(99c)
$$\begin{aligned} w'&= w \left( 2 C_2 \varSigma ^2+K+\varSigma +2 u^2-\frac{\sqrt{2} u}{\lambda }\right) . \end{aligned}$$
(99d)

For \(u=w=0\) and \(\lambda \rightarrow 0\) the system (77) is recovered. Therefore, the equilibrium points, and their stability conditions studied in Sect. 5.6.1 are retrieved. By definition \( K \ge 0 \), and \( w \ge 0 \) (if \( \theta > 0 \)). Given that the system (99) is invariant to the simultaneous change \( (u, \lambda ) \rightarrow (-u, - \lambda ) \), it can be assumed \( \lambda > 0 \). In the following discussion the analysis is restricted to \(\lambda >0, u \ge 0 \) (the sign of u corresponds to the sign of \(\varPsi \), if \(\theta > 0\)). The following lists contains the equilibrium points of the reduced system (99).

\(N_1\)::

\((\varSigma , K, u, w)= \left( 0 , 1 , 0 , 0\right) \), \(\varOmega _t= 0\). The eigenvalues are \(\{-1,-1,1,2\}\), then it is a hyperbolic saddle.

L::

\((\varSigma , K, u, w)=\left( \varSigma _0, 0 , \sqrt{1-\varSigma _0 ^2 C_2}, 0 \right) \), \(\varOmega _t=0\). This line of equilibrium points contains the equilibrium points \(P_{11}\) and \(P_{12}\) studied in Sect. 5.6.1 for \(u=0\). The eigenvalues are \(\left\{ 0,\frac{(3 \gamma -2) \varSigma _0 }{\gamma -1}+4,-\frac{\sqrt{2-2 C_2 \varSigma _0 ^2}}{\lambda }+\varSigma _0 \right. \left. +2,2\right\} \). This line is normally-hyperbolic, i. e., given the curve parametrization:

$$\begin{aligned} \mathbf{r }(\varSigma _0)= \left( \varSigma _0, 0, \sqrt{1-C_2 \varSigma _0 ^2}, 0\right) , \end{aligned}$$

the tangent vector at \(\varSigma _0\):

$$\begin{aligned} \mathbf{r }'(\varSigma _0)=\left( 1,0,-\frac{ C_2 \varSigma _0}{\sqrt{1-C_2 \varSigma _0 ^2}},0\right) , \end{aligned}$$

is parallel to the eigenvector associated to the zero eigenvalue, say, \(\mathbf{v }(\varSigma _0)=\left( -\frac{\sqrt{1-C_2 \varSigma _0^2}}{C_2 \varSigma _0},0,1,0\right) .\) In this particular case, the stability of the curve of equilibrium point can be studied considering only the signs of the real part of the non-zero eigenvalues, concluding that:

Fig. 14
figure 14

Real parts of \(f_i\) (left panel) and \(g_i\) (right panel) corresponding to the equilibrium points \(Q_{30}: (\varSigma ,A,u,w)=\left( 0, \frac{1}{\sqrt{C_2-\frac{\lambda ^2}{2}}},0, \sqrt{2} \sqrt{-\frac{\lambda ^2 \left( -2 C_2+\lambda ^2+8\right) ^2 \left( 2 (2 C_2+1) \lambda ^2+4 (C_2-1) C_2+\lambda ^4\right) ^2}{\lambda ^2-2 C_2}}\right) , \varepsilon =1\) and \(Q_{31}: (\varSigma ,A,u,w)=\)\(\left( 0, \frac{1}{\sqrt{C_2-\frac{\lambda ^2}{2}}},0, \sqrt{2} \sqrt{-\frac{\lambda ^2 \left( -2 C_2+\lambda ^2+8\right) ^2 \left( 2 (2 C_2+1) \lambda ^2+4 (C_2-1) C_2+\lambda ^4\right) ^2}{\lambda ^2-2 C_2}}\right) , \varepsilon =-1\), respectively. Then, \(Q_{30}\) and \(Q_{31}\), are either sources or they are non-hyperbolic (with four pure imaginary eigenvalues)

  1. (a)

    L is a hyperbolic source for:

    1. (i)

      \(C_2>0, \varSigma _0=\frac{1}{\sqrt{C_2}}, \lambda >0, 1<\gamma <2\), or

    2. (ii)

      \(C_2>1, \varSigma _0=-\sqrt{\frac{1}{C_2}}, \lambda >0, \frac{2 \varSigma _{0}+4}{3 \varSigma _0+4}<\gamma <2\), or

    3. (iii)

      \(C_2>1, 0<\varSigma _0<\sqrt{\frac{1}{C_2}}, \lambda >\sqrt{2} \sqrt{\frac{1-C_2 \varSigma _0^2}{(\varSigma _0+2)^2}}\),

      \( 1<\gamma <2\), or

    4. (iv)

      \(C_2>0, 0<\varSigma _0<\sqrt{\frac{1}{C_2}}, \lambda >\sqrt{2} \sqrt{\frac{1-C_2 \varSigma _0^2}{(\varSigma _0+2)^2}}\),

      \( 1<\gamma <2\), or

    5. (v)

      \(C_2>1, -\sqrt{\frac{1}{C_2}}<\varSigma _0\le 0, \lambda >\sqrt{2} \sqrt{\frac{1-C_2 \varSigma _0^2}{(\varSigma _0+2)^2}}\),

      \( \frac{2 \varSigma _0+4}{3 \varSigma _0+4}<\gamma <2\), or

    6. (vi)

      \(0<C_2\le 1, -1<\varSigma _0\le 0, \lambda >\sqrt{2} \sqrt{\frac{1-C_2 \varSigma _0^2}{(\varSigma _0+2)^2}}\),

      \( \frac{2 \varSigma _0+4}{3 \varSigma _0+4}<\gamma <2\), or

    7. (vii)

      \(C_2>1, -\sqrt{\frac{1}{C_2}}<\varSigma _0\le 0, \lambda >\sqrt{2} \sqrt{\frac{1-C_2 \varSigma _0^2}{(\varSigma _0+2)^2}}\),

      \( \frac{2 \varSigma _0+4}{3 \varSigma _0+4}<\gamma <2\), or

    8. (viii)

      \(0<C_2\le 1, -1<\varSigma _0\le 0, \lambda >\sqrt{2} \sqrt{\frac{1-C_2 \varSigma _0^2}{(\varSigma _0+2)^2}}\),

      \( \frac{2 \varSigma _0+4}{3 \varSigma _0+4}<\gamma <2\), or

    9. (ix)

      \(C_2>1, -\sqrt{\frac{1}{C_2}}<\varSigma _0\le 0, \lambda >\sqrt{2} \sqrt{\frac{1-C_2 \varSigma _0^2}{(\varSigma _0+2)^2}}\),

      \( \frac{2 \varSigma _0+4}{3 \varSigma _0+4}<\gamma <2\), or

    10. (x)

      \(C_2>1, 0<\varSigma _0<\sqrt{\frac{1}{C_2}}, \lambda >\sqrt{2} \sqrt{\frac{1-C_2 \varSigma _0^2}{(\varSigma _0+2)^2}}\),

      \( 1<\gamma <2\), or

    11. (xi)

      \(0<C_2\le 1, -1<\varSigma _0\le 0, \lambda >\sqrt{2} \sqrt{\frac{1-C_2 \varSigma _0^2}{(\varSigma _0+2)^2}}\),

      \( \frac{2 \varSigma _0+4}{3 \varSigma _0+4}<\gamma <2\), or

    12. (xii)

      \(0<C_2\le 1, 0<\varSigma _0<\sqrt{\frac{1}{C_2}}\),

      \( \lambda >\sqrt{2} \sqrt{\frac{1-C_2 \varSigma _0^2}{(\varSigma _0+2)^2}}, 1<\gamma <2\), or

    13. (xiii)

      \(C_2>1, -\sqrt{\frac{1}{C_2}}<\varSigma _0\le 0\),

      \(\lambda >\sqrt{2} \sqrt{\frac{1-C_2 \varSigma _0^2}{(\varSigma _0+2)^2}}, \frac{2 \varSigma _0+4}{3\varSigma _0+4}<\gamma <2\), or

    14. (xiv)

      \(C_2>1, 0<\varSigma _0<\sqrt{\frac{1}{C_2}}\),

      \( \lambda >\sqrt{2} \sqrt{\frac{1-C_2 \varSigma _0^2}{(\varSigma _0+2)^2}}, 1<\gamma <2\), or

    15. (xv)

      \(0<C_2\le 1, -1<\varSigma _0\le 0\),

      \( \lambda >\sqrt{2} \sqrt{\frac{1-C_2 \varSigma _0^2}{(\varSigma _0+2)^2}}, \frac{2 \varSigma _0+4}{3 \varSigma _0+4}<\gamma <2\), or

    16. (xvi)

      \(0<C_2\le 1, 0<\varSigma _0<\sqrt{\frac{1}{C_2}}\),

      \( \lambda >\sqrt{2} \sqrt{\frac{1-C_2 \varSigma _0^2}{(\varSigma _0+2)^2}}, 1<\gamma <2\).

  2. (b)

    L is a hyperbolic saddle for:

    1. (i)

      \(0<C_2\le \frac{1}{4}, -2<\varSigma _0\le -1\),

      \( \lambda >\sqrt{2} \sqrt{\frac{1-C_2 \varSigma _0^2}{(\varSigma _0+2)^2}}, 1<\gamma <2\), or

    2. (ii)

      \(0<C_2\le \frac{1}{4}, -1<\varSigma _0<0\),

      \( \lambda >\sqrt{2} \sqrt{\frac{1-C_2 \varSigma _0^2}{(\varSigma _0+2)^2}}, 1<\gamma <\frac{2 \varSigma _0+4}{3 \varSigma _0+4}\), or

    3. (iii)

      \(\frac{1}{4}<C_2\le 1, \varSigma _0=-\frac{1}{\sqrt{C_2}}, \lambda >0, 1<\gamma <2\), or

    4. (iv)

      \(\frac{1}{4}<C_2<1, -\sqrt{\frac{1}{C_2}}<\varSigma _0\le -1\),

      \( \lambda >\sqrt{2} \sqrt{\frac{1-C_2 \varSigma _0^2}{(\varSigma _0+2)^2}}, 1<\gamma <2\), or

    5. (v)

      \(\frac{1}{4}<C_2\le 1, -1<\varSigma _0<0\),

      \( \lambda >\sqrt{2} \sqrt{\frac{1-C_2 \varSigma _0^2}{(\varSigma _0+2)^2}}, 1<\gamma <\frac{2 \varSigma _0+4}{3 \varSigma _0+4}\), or

    6. (vi)

      \(C_2>1, \varSigma _0=-\sqrt{\frac{1}{C_2}}, \lambda >0, 1<\gamma <\frac{2 \varSigma _0+4}{3 \varSigma _0+4}\), or

    7. (vii)

      \(C_2>1, -\sqrt{\frac{1}{C_2}}<\varSigma _0<0\),

      \( \lambda >\sqrt{2} \sqrt{\frac{1-C_2 \varSigma _0^2}{(\varSigma _0+2)^2}}, 1<\gamma <\frac{2 \varSigma _0+4}{3 \varSigma _0+4}\), or

    8. (viii)

      \(0<C_2\le 1, 0<\varSigma _0<\sqrt{\frac{1}{C_2}}\),

      \( 0<\lambda<\sqrt{2} \sqrt{\frac{1-C_2 \varSigma _0^2}{(\varSigma _0+2)^2}}, 1<\gamma <2\), or

    9. (ix)

      \(0<C_2\le 1, -1<\varSigma _0\le 0\),

      \( 0<\lambda<\sqrt{2} \sqrt{\frac{1-C_2 \varSigma _0^2}{(\varSigma _0+2)^2}}, \frac{2 \varSigma _0+4}{3 \varSigma _0+4}<\gamma <2\), or

    10. (x)

      \(C_2>1, 0<\varSigma _0<\sqrt{\frac{1}{C_2}}\),

      \( 0<\lambda<\sqrt{2} \sqrt{\frac{1-C_2 \varSigma _0^2}{(\varSigma _0+2)^2}}, 1<\gamma <2\), or

    11. (xi)

      \(C_2>1, -\sqrt{\frac{1}{C_2}}<\varSigma _0\le 0\),

      \( 0<\lambda<\sqrt{2} \sqrt{\frac{1-C_2 \varSigma _0^2}{(\varSigma _0+2)^2}}, \frac{2 \varSigma _0+4}{3 \varSigma _0+4}<\gamma <2\), or

    12. (xii)

      \(0<C_2<\frac{1}{4}, -\sqrt{\frac{1}{C_2}}\le \varSigma _0\le -2, \lambda >0\),

      \( 1<\gamma <2\), or

    13. (xiii)

      \(0<C_2<\frac{1}{4}, -1<\varSigma _0<0\),

      \( 0<\lambda<\sqrt{2} \sqrt{\frac{1-C_2 \varSigma _0^2}{(\varSigma _0+2)^2}}, 1<\gamma <\frac{2 \varSigma _0+4}{3 \varSigma _0+4}\), or

    14. (xiv)

      \(0<C_2<\frac{1}{4}, -2<\varSigma _0\le -1\),

      \( 0<\lambda<\sqrt{2} \sqrt{\frac{1-C_2 \varSigma _0^2}{(\varSigma _0+2)^2}}, 1<\gamma <2\), or

    15. (xv)

      \(\frac{1}{4}\le C_2<1, -\sqrt{\frac{1}{C_2}}<\varSigma _0\le -1\),

      \( 0<\lambda<\sqrt{2} \sqrt{\frac{1-C_2 \varSigma _0^2}{(\varSigma _0+2)^2}}, 1<\gamma <2\), or

    16. (xvi)

      \(\frac{1}{4}\le C_2\le 1, -1<\varSigma _0<0\),

      \( 0<\lambda<\sqrt{2} \sqrt{\frac{1-C_2 \varSigma _0^2}{(\varSigma _0+2)^2}}, 1<\gamma <\frac{2 \varSigma _0+4}{3 \varSigma _0+4}\), or

    17. (xvii)

      \(C_2>1, -\sqrt{\frac{1}{C_2}}<\varSigma _0<0\),

      \( 0<\lambda<\sqrt{2} \sqrt{\frac{1-C_2 \varSigma _0^2}{(\varSigma _0+2)^2}}, 1<\gamma <\frac{2 \varSigma _0+4}{3 \varSigma _0+4}\).

  3. (c)

    L is non-hyperbolic for:

    1. (i)

      \(0<C_2<\frac{1}{4}, -1<\varSigma _0<0, \gamma =\frac{2 (\varSigma _0+2)}{3 \varSigma _0+4}\),

      \( 0<\lambda <\sqrt{2} \sqrt{\frac{1-C_2 \varSigma _0^2}{(\varSigma _0+2)^2}}\), or

    2. (ii)

      \(0<C_2<\frac{1}{4}, -1<\varSigma _0<0, \gamma =\frac{2 (\varSigma _0+2)}{3 \varSigma _0+4}\),

      \( \lambda >\sqrt{2} \sqrt{\frac{1-C_2 \varSigma _0^2}{(\varSigma _0+2)^2}}\), or

    3. (iii)

      \(0<C_2<\frac{1}{4}, -1<\varSigma _0<0, \sqrt{2} \sqrt{\frac{1-C_2 \varSigma _0^2}{(\varSigma _0+2)^2}}=\lambda , 1<\gamma <2\), or

    4. (iv)

      \(0<C_2<\frac{1}{4}, \sqrt{2} \sqrt{\frac{1-C_2 \varSigma _0^2}{(\varSigma _0+2)^2}}=\lambda , 1<\gamma<2, -2<\varSigma _0\le -1\), or

    5. (v)

      \(0<C_2<\frac{1}{4}, \sqrt{2} \sqrt{\frac{1-C_2 \varSigma _0^2}{(\varSigma _0+2)^2}}=\lambda , 1<\gamma<2, 0\le \varSigma _0<\frac{1}{\sqrt{C_2}}\), or

    6. (vi)

      \(C_2=\frac{1}{4}, -1<\varSigma _0<0, \gamma =\frac{2 (\varSigma _0+2)}{3 \varSigma _0+4}\),

      \( 0<\lambda <\sqrt{\frac{2}{\varSigma _0+2}-\frac{1}{2}}\), or

    7. (vii)

      \(C_2=\frac{1}{4}, -1<\varSigma _0<0, \gamma =\frac{2 (\varSigma _0+2)}{3 \varSigma _0+4}\),

      \( 2 \lambda >\sqrt{\frac{8}{\varSigma _0+2}-2}\), or

    8. (viii)

      \(C_2=\frac{1}{4}, -1<\varSigma _0<0, \gamma =\frac{2 (\varSigma _0+2)}{3 \varSigma _0+4}\),

      \( \sqrt{\frac{8}{\varSigma _0+2}-2}=2 \lambda , 1<\gamma <2\), or

    9. (ix)

      \(C_2=\frac{1}{4}, 1<\gamma <2\),

      \( \sqrt{\frac{8}{\varSigma _0+2}-2}=2 \lambda , -2<\varSigma _0\le -1\), or

    10. (x)

      \(4 C_2=1, 1<\gamma<2, \sqrt{\frac{8}{\varSigma _0+2}-2}=2 \lambda , 0\le \varSigma _0<2\), or

    11. (xi)

      \(C_2=\frac{1}{4}, 1<\gamma <2, \varSigma _0=-2, \lambda >0\), or

    12. (xii)

      \(\frac{1}{4}<C_2\le 1, -1<\varSigma _0<0, \gamma =\frac{2 (\varSigma _0+2)}{3 \varSigma _0+4}\),

      \( 0<\lambda <\sqrt{2} \sqrt{\frac{1-C_2 \varSigma _0^2}{(\varSigma _0+2)^2}}\), or

    13. (xiii)

      \(\frac{1}{4}<C_2\le 1, -1<\varSigma _0<0\),

      \( \gamma =\frac{2 (\varSigma _0+2)}{3 \varSigma _0+4}, \lambda >\sqrt{2} \sqrt{\frac{1-C_2 \varSigma _0^2}{(\varSigma _0+2)^2}}\), or

    14. (xiv)

      \(\frac{1}{4}<C_2\le 1, -1<\varSigma _0<0, \sqrt{2} \sqrt{\frac{1-C_2 \varSigma _0^2}{(\varSigma _0+2)^2}}=\lambda \),

      \(1<\gamma <2\), or

    15. (xv)

      \(\frac{1}{4}<C_2\le 1, \sqrt{2} \sqrt{\frac{1-C_2 \varSigma _0^2}{(\varSigma _0+2)^2}}=\lambda , 1<\gamma <2\),

      \( 0\le \varSigma _0<\frac{1}{\sqrt{C_2}}\), or

    16. (xvi)

      \(\frac{1}{4}<C_2\le 1, \sqrt{2} \sqrt{\frac{1-C_2 \varSigma _0^2}{(\varSigma _0+2)^2}}=\lambda , 1<\gamma <2\),

      \(-\frac{1}{\sqrt{C_2}}<\varSigma _0\le -1\), or

    17. (xvii)

      \(C_2>1, \gamma =\frac{2 (\varSigma _0+2)}{3 \varSigma _0+4}, \frac{1}{\sqrt{C_2}}+\varSigma _0=0, \lambda >0\), or

    18. (xviii)

      \(C_2>1, \gamma =\frac{2 (\varSigma _0+2)}{3 \varSigma _0+4}, -\frac{1}{\sqrt{C_2}}<\varSigma _0<0\),

      \( 0<\lambda <\sqrt{2} \sqrt{\frac{1-C_2 \varSigma _0^2}{(\varSigma _0+2)^2}}\), or

    19. (xix)

      \(C_2>1, \gamma =\frac{2 (\varSigma _0+2)}{3 \varSigma _0+4}, -\frac{1}{\sqrt{C_2}}<\varSigma _0<0\),

      \( \lambda >\sqrt{2} \sqrt{\frac{1-C_2 \varSigma _0^2}{(\varSigma _0+2)^2}}\), or

    20. (xx)

      \(C_2>1, \sqrt{2} \sqrt{\frac{1-C_2 \varSigma _0^2}{(\varSigma _0+2)^2}}=\lambda , 1<\gamma<2, 0\le \varSigma _0<\frac{1}{\sqrt{C_2}}\), or

    21. (xxi)

      \(C_2>1, \sqrt{2} \sqrt{\frac{1-C_2 \varSigma _0^2}{(\varSigma _0+2)^2}}=\lambda , 1<\gamma<2, -\frac{1}{\sqrt{C_2}}<\varSigma _0<0\).

The following list contains new points that were not studied in Sect. 5.6.1.

  1. 1.

    \(P_{13}(\lambda ): (\varSigma , K, u, w)= \Bigg (-\frac{2 (\gamma -1) (3 \gamma -2)}{8 C_2 (\gamma -1)^2+\gamma ^2 \lambda ^2} , 0 , \frac{\gamma (3 \gamma -2) \lambda }{\sqrt{2} \left( 8 C_2 (\gamma -1)^2+\gamma ^2 \lambda ^2\right) },\)

    \(\frac{ \sqrt{\gamma } \sqrt{3 \gamma -2} \lambda \sqrt{4- 16 C_2 (\gamma -1)^2-\gamma \left( \gamma \left( 2 \lambda ^2-9\right) +12\right) }}{\sqrt{2} \left( 8 C_2 (\gamma -1)^2+\gamma ^2 \lambda ^2\right) }\Bigg )\).

    \(\varOmega _t= \frac{\left( \gamma \lambda ^2-4 (\gamma -1) C_2\right) \left( 4- 16 C_2 (\gamma -1)^2-\gamma \left( \gamma \left( 2 \lambda ^2-9\right) +12\right) \right) }{\left( 8 C_2 (\gamma -1)^2+\gamma ^2 \lambda ^2\right) {}^2}\). The eigenvalues are

    $$\begin{aligned}&\left\{ -2+\frac{(2-3 \gamma )^2}{\gamma ^2 \lambda ^2+8 (-1+\gamma )^2 C_2},\right. \\&\quad -2+\frac{2 (2-3 \gamma )^2}{\gamma ^2 \lambda ^2+8 (-1+\gamma )^2 C_2},\\&\quad -\left( (-1+\gamma ) C_2 \left( \gamma ^2 \lambda ^2+8 (-1+\gamma )^2 C_2\right) \right. \\&\quad \times \left( -4+\gamma \left( 12+\gamma \left( -9+2 \lambda ^2\right) \right) +16(-1+\gamma )^2 C_2\right) \\&\quad +\surd \left( (-1+\gamma ) C_2 \left( \gamma ^2 \lambda ^2+8 (-1+\gamma )^2 C_2\right) {}^2 \right. \\&\quad \times \left( -4+\gamma \left( 12+\gamma \left( -9+2 \lambda ^2\right) \right) +16 (-1+\gamma )^2 C_2\right) \\&\quad \times \left( 2 \gamma ^2 (-2+3 \gamma ) \lambda ^2+(-1+\gamma ) C_2 \right. \\&\quad \times \left( -4+\gamma \left( 28+\gamma \left( -33+2 \lambda ^2\right) \right) \right. \\&\quad \left. \left. \left. \left. +16 (-1+\gamma )^2 C_2\right) \right) \right) \right) \Big /\\&\quad \left( 2 (-1+\gamma ) C_2 \left( \gamma ^2 \lambda ^2+8 (-1+\gamma )^2 C_2\right) {}^2\right) ,\\&\quad \left( -(-1+\gamma ) C_2 \left( \gamma ^2 \lambda ^2+8 (-1+\gamma )^2 C_2\right) \right. \\&\quad \times \left( -4+\gamma \left( 12+\gamma \left( -9+2 \lambda ^2\right) \right) +16 (-1+\gamma )^2 C_2\right) \\&\quad +\surd \left( (-1+\gamma ) C_2 \left( \gamma ^2 \lambda ^2+8 (-1+\gamma )^2 C_2\right) {}^2 \right. \\&\quad \times \left( -4+\gamma \left( 12+\gamma \left( -9+2 \lambda ^2\right) \right) +16 (-1+\gamma )^2 C_2\right) \\&\quad \times \left( 2 \gamma ^2 (-2+3 \gamma ) \lambda ^2+(-1+\gamma ) C_2 \right. \\&\quad \times \left( -4+\gamma \left( 28+\gamma \left( -33+2 \lambda ^2\right) \right) \right. \\&\quad \left. \left. \left. \left. +16(-1+\gamma )^2 C_2\right) \right) \right) \right) \Big / \\&\quad \left. \left( 2 (-1+\gamma ) C_2 \left( \gamma ^2 \lambda ^2+8 (-1+\gamma )^2 C_2\right) {}^2\right) \right\} . \end{aligned}$$
    1. (a)

      \(P_{13}(\lambda )\) is a hyperbolic sink for:

      1. (i)

        \(1<C_2\le 2, \frac{4 C_2-2}{4 C_2-3}<\gamma <2\),

        \( \sqrt{\frac{(2-3 \gamma )^2-8 (\gamma -1)^2 C_2}{\gamma ^2}}<\lambda <2 \sqrt{\frac{(\gamma -1) C_2}{\gamma }}\), or

      2. (ii)

        \(C_2>2, \frac{4 C_2-2}{4 C_2-3}<\gamma <\frac{2 \left( 4 C_2-3\right) }{8 C_2-9}+2 \sqrt{2} \sqrt{\frac{C_2}{\left( 8 C_2-9\right) {}^2}}\),

        \( \sqrt{\frac{(2-3 \gamma )^2-8 (\gamma -1)^2 C_2}{\gamma ^2}}<\lambda <2 \sqrt{\frac{(\gamma -1)C_2}{\gamma }}\), or

      3. (iii)

        \(C_2>2, \frac{2 \left( 4 C_2-3\right) }{8 C_2-9}+2 \sqrt{2} \sqrt{\frac{C_2}{\left( 8 C_2-9\right) {}^2}}\le \gamma<2, 0<\lambda <2 \sqrt{\frac{(\gamma -1)C_2}{\gamma }}\).

    2. (b)

      \(P_{13}(\lambda )\) is a hyperbolic source for:

      1. (i)

        \(0<C_2\le \frac{1}{2}, 1<\gamma <2\),

        \( 2 \sqrt{\frac{(\gamma -1)C_2}{\gamma }}<\lambda <\frac{1}{2} \sqrt{\frac{2 (2-3 \gamma )^2-32 (\gamma -1)^2 C_2}{\gamma ^2}}\), or

      2. (ii)

        \(C_2>\frac{1}{2}, 1<\gamma <\frac{8 C_2-2}{8 C_2-3}\),

        \( 2 \sqrt{\frac{(\gamma -1)C_2}{\gamma }}<\lambda <\frac{1}{2} \sqrt{\frac{2 (2-3 \gamma )^2-32 (\gamma -1)^2 C_2}{\gamma ^2}}\).

    3. (c)

      \(P_{13}(\lambda )\) is non-hyperbolic for:

      1. (i)

        \(C_2>\frac{1}{2}, 1<\gamma <\frac{8 C_2-2}{8 C_2-3}, \lambda =2 \sqrt{\frac{(\gamma -1)C_2}{\gamma }}\), or

      2. (ii)

        \(C_2>\frac{1}{2}, \frac{8 C_2-2}{8 C_2-3}<\gamma <2, \lambda =2 \sqrt{\frac{\gamma C_2-C_2}{\gamma }}\), or

      3. (iii)

        \(C_2>1, 1<\gamma <\frac{2 \left( 8 C_2-3\right) }{16 C_2-9}+4 \sqrt{\frac{C_2}{\left( 16 C_2-9\right) {}^2}}\),

        \( \lambda =\sqrt{\frac{(2-3 \gamma )^2-8 (\gamma -1)^2 C_2}{\gamma ^2}}\), or

      4. (iv)

        \(C_2>2, 1<\gamma <\frac{2 \left( 4 C_2-3\right) }{8 C_2-9}+2 \sqrt{2} \sqrt{\frac{C_2}{\left( 8 C_2-9\right) {}^2}}\),

        \( \lambda =\sqrt{\frac{(2-3 \gamma )^2-8 (\gamma -1)^2 C_2}{\gamma ^2}}\), or

      5. (v)

        \(0<C_2\le \frac{1}{2}, 1<\gamma <2, \lambda =2 \sqrt{\frac{(\gamma -1)C_2}{\gamma }}\), or

      6. (vi)

        \(0<C_2\le 1, 1<\gamma <2, \lambda =\sqrt{\frac{(2-3 \gamma )^2-8 (\gamma -1)^2 C_2}{\gamma ^2}}\), or

      7. (vii)

        \(0<C_2\le 2, 1<\gamma <2, \lambda =\sqrt{\frac{(2-3 \gamma )^2-8 (\gamma -1)^2 C_2}{\gamma ^2}}\).

    4. (d)

      \(P_{13}(\lambda )\) is a hyperbolic saddle for:

      1. (i)

        \(0<C_2\le \frac{1}{2}, 1<\gamma<2, 0<\lambda <2 \sqrt{\frac{(\gamma -1)C_2}{\gamma }}\), or

      2. (ii)

        \(0<C_2\le \frac{1}{2}, 1<\gamma <2\),

        \( 2 \sqrt{\frac{(\gamma -1)C_2}{\gamma }}<\lambda <\sqrt{\frac{(2-3 \gamma )^2-8 (\gamma -1)^2 C_2}{\gamma ^2}}\), or

      3. (iii)

        \(0<C_2\le \frac{1}{2}, 1<\gamma <2, \lambda >\sqrt{\frac{(2-3 \gamma )^2-8 (\gamma -1)^2 C_2}{\gamma ^2}}\), or

      4. (iv)

        \(\frac{1}{2}<C_2\le 1, 1<\gamma \le \frac{8 C_2-2}{8 C_2-3}, 0<\lambda <2 \sqrt{\frac{(\gamma -1)C_2}{\gamma }}\), or

      5. (v)

        \(\frac{1}{2}<C_2\le 1, 1<\gamma <\frac{8 C_2-2}{8 C_2-3}\),

        \( 2 \sqrt{\frac{(\gamma -1)C_2}{\gamma }}<\lambda <\sqrt{\frac{(2-3 \gamma )^2-8 (\gamma -1)^2 C_2}{\gamma ^2}}\), or

      6. (vi)

        \(\frac{1}{2}<C_2\le 1, 1<\gamma <\frac{8 C_2-2}{8 C_2-3}, \lambda >\sqrt{\frac{(2-3 \gamma )^2-8 (\gamma -1)^2 C_2}{\gamma ^2}}\), or

      7. (vii)

        \(\frac{1}{2}<C_2\le 1, \frac{8 C_2-2}{8 C_2-3}<\gamma <2\),

        \( 0<\lambda <\sqrt{\frac{(2-3 \gamma )^2-8 (\gamma -1)^2 C_2}{\gamma ^2}}\), or

      8. (viii)

        \(\frac{1}{2}<C_2\le 1, \frac{8 C_2-2}{8 C_2-3}\le \gamma <2, \lambda >2 \sqrt{\frac{(\gamma -1)C_2}{\gamma }}\), or

      9. (ix)

        \(C_2>1, 1<\gamma \le \frac{8 C_2-2}{8 C_2-3}, 0<\lambda <2 \sqrt{\frac{(\gamma -1)C_2}{\gamma }}\), or

      10. (x)

        \(C_2>1, 1<\gamma <\frac{8 C_2-2}{8 C_2-3}\),

        \( 2 \sqrt{\frac{(\gamma -1)C_2}{\gamma }}<\lambda <\sqrt{\frac{(2-3 \gamma )^2-8 (\gamma -1)^2 C_2}{\gamma ^2}}\), or

      11. (xi)

        \(C_2>1, 1<\gamma <\frac{8 C_2-2}{8 C_2-3}, \lambda >\sqrt{\frac{(2-3 \gamma )^2-8 (\gamma -1)^2 C_2}{\gamma ^2}}\), or

      12. (xii)

        \(C_2>1, \frac{8 C_2-2}{8 C_2-3}<\gamma <\frac{2 \left( 8 C_2-3\right) }{16 C_2-9}+4 \sqrt{\frac{C_2}{\left( 16 C_2-9\right) {}^2}}\),

        \( 0<\lambda <\sqrt{\frac{(2-3 \gamma )^2-8 (\gamma -1)^2 C_2}{\gamma ^2}}\), or

      13. (xiii)

        \(C_2>1, \frac{8 C_2-2}{8 C_2-3}\le \gamma <\frac{2 \left( 8 C_2-3\right) }{16 C_2-9}+4 \sqrt{\frac{C_2}{\left( 16 C_2-9\right) {}^2}}\),

        \( \lambda >2 \sqrt{\frac{(\gamma -1)C_2}{\gamma }}\), or

      14. (xiv)

        \(C_2>1, \frac{2 \left( 8 C_2-3\right) }{16 C_2-9}+4 \sqrt{\frac{C_2}{\left( 16 C_2-9\right) {}^2}}\le \gamma <2\),

        \( \lambda >2 \sqrt{\frac{(\gamma -1)C_2}{\gamma }}\).

  2. 2.

    \(P_{14}(\lambda ): (\varSigma , K, u, w)=\)

    \(\left( -\frac{2 (\gamma -1)}{3 \gamma -2} , \frac{4-8 C_2 (\gamma -1)^2-\gamma \left( \gamma \left( \lambda ^2-9\right) +12\right) }{(2-3 \gamma )^2} , \frac{\gamma \lambda }{\sqrt{2} (3 \gamma -2)} , \frac{\lambda }{\sqrt{\frac{4}{\gamma }-6}}\right) \). \( \varOmega _t=\frac{4 (\gamma -1) C_2-\gamma \lambda ^2}{(2-3 \gamma )^2}\). The real parts of the \(\mu _i \)’s are represented in the Fig. 15 for some values of \( C_2 \), where it is shown that \(P_{14}(\lambda ) \) is typically a hyperbolic saddle for the given values of the parameter \( C_2 \) (or is it non-hyperbolic).

    The following points are recovered: \(\lim _{\lambda \rightarrow 0} P_{13}(\lambda )=P_{13}\) and \(\lim _{\lambda \rightarrow 0} P_{14}(\lambda )=P_{14}\).

  3. 3.

    \(P_{13}: (\varSigma , K, u, w)= \left( \frac{2-3 \gamma }{4 (\gamma -1) C_2} , 0 , 0 , 0\right) \), \(\varOmega _t=\frac{1}{\gamma -1}-\frac{(2-3 \gamma )^2}{16 (\gamma -1)^3 C_2}\). The eigenvalues are:

    \(\left\{ \frac{\gamma (3 \gamma -2)}{8 (\gamma -1)^2 C_2},\frac{(2-3 \gamma )^2}{8 (\gamma -1)^2 C_2}-2,\frac{(2-3 \gamma )^2}{8 (\gamma -1)^2 C_2}-2,\frac{(2-3 \gamma )^2}{4 (\gamma -1)^2 C_2}-2\right\} \).

  4. 4.

    \(P_{14}: (\varSigma , K, u, w)= \left( -\frac{2 (\gamma -1)}{3 \gamma -2} , 1-\frac{8 (\gamma -1)^2 C_2}{(2-3 \gamma )^2} , 0 , 0\right) \), \(\varOmega _t= \frac{4 (\gamma -1) C_2}{(2-3 \gamma )^2}\). The eigenvalues are:

    \(\Big \{-1,\frac{\gamma }{3 \gamma -2},-\frac{1}{2}- \frac{\sqrt{ \left( 64 (\gamma -1)^2 C_2-7 (2-3 \gamma )^2\right) }}{2 (3 \gamma -2)}\),

    \( -\frac{1}{2}+ \frac{\sqrt{ \left( 64 (\gamma -1)^2 C_2-7 (2-3 \gamma )^2\right) }}{2 (3 \gamma -2)}\Big \}\).

  5. 5.

    \(P_{15}(\lambda ): (\varSigma , K, u, w)= \left( -\frac{1}{2 C_2}, 0, \frac{1}{\sqrt{2} \lambda }, \frac{\sqrt{\lambda ^2{+}\left( 2{-}4 \lambda ^2\right) C_2}}{2 \lambda \sqrt{C_2}}\right) \), \(\varOmega _t= 0\), with eigenvalues

    \(\left\{ \frac{1}{C_2}{+}\frac{2}{\lambda ^2}{-}2,\frac{\gamma }{2 C_2{-}2 \gamma C_2}{+}\frac{2}{\lambda ^2},\frac{1}{2 C_2}{+}\frac{1}{\lambda ^2}{-}2,\frac{1}{2 C_2}+\frac{1}{\lambda ^2}-2\right\} \).

    1. (a)

      \(P_{15}(\lambda )\) is a hyperbolic sink for:

      1. (a)

        \(\frac{1}{2}<C_2\le 1, 1<\gamma <2, \lambda >\sqrt{2} \sqrt{\frac{C_2}{2 C_2-1}}\), or

      2. (b)

        \(C_2>1, 1<\gamma \le \frac{4 C_2-2}{4 C_2-3}, \lambda >\sqrt{2} \sqrt{\frac{C_2}{2 C_2-1}}\), or

      3. (c)

        \(C_2>1, \frac{4 C_2-2}{4 C_2-3}<\gamma <2, \lambda >2 \sqrt{\frac{(\gamma -1)C_2}{\gamma }}\)

    2. (d)

      \(P_{15}(\lambda )\) is a hyperbolic source for:

      1. (i)

        \(0<C_2\le \frac{1}{2}, 1<\gamma<2, 0<\lambda <2 \sqrt{\frac{(\gamma -1)C_2}{\gamma }}\), or

      2. (ii)

        \(C_2>\frac{1}{2}, 1<\gamma \le \frac{8 C_2-2}{8 C_2-3}, 0<\lambda <2 \sqrt{\frac{(\gamma -1)C_2}{\gamma }}\), or

      3. (iii)

        \(C_2>\frac{1}{2}, \frac{8 C_2-2}{8 C_2-3}<\gamma<2, 0<\lambda <\sqrt{2} \sqrt{\frac{C_2}{4 C_2-1}}\).

    3. (e)

      \(P_{15}(\lambda )\) is non-hyperbolic for:

      1. (i)

        \(0<C_2\le \frac{1}{4}, 1<\gamma <2, \lambda =2 \sqrt{\frac{(\gamma -1) C_2}{\gamma }}\), or

      2. (ii)

        \(\frac{1}{4}<C_2\le \frac{1}{2}, 1<\gamma <2, \lambda =2 \sqrt{\frac{(\gamma -1) C_2}{\gamma }}\), or

      3. (iii)

        \(\frac{1}{4}<C_2\le \frac{1}{2}, 1<\gamma <2, \lambda =\sqrt{2} \sqrt{\frac{C_2}{4 C_2-1}}\), or

      4. (iv)

        \(\frac{1}{2}<C_2\le 1, \gamma =\frac{8 C_2-2}{8 C_2-3}, \lambda =\sqrt{2} \sqrt{\frac{C_2}{4 C_2-1}}\), or

      5. (v)

        \(\frac{1}{2}<C_2\le 1, \gamma =\frac{8 C_2-2}{8 C_2-3}, \lambda =\sqrt{2} \sqrt{\frac{C_2}{2 C_2-1}}\), or

      6. (vi)

        \(\frac{1}{2}<C_2\le 1, \frac{8 C_2-2}{8 C_2-3}<\gamma <2, \lambda =2 \sqrt{\frac{(\gamma -1) C_2}{\gamma }}\), or

      7. (vii)

        \(\frac{1}{2}<C_2\le 1, 1<\gamma <\frac{8 C_2-2}{8 C_2-3}, \lambda =2 \sqrt{\frac{(\gamma -1) C_2}{\gamma }}\), or

      8. (viii)

        \(\frac{1}{2}<C_2\le 1, \frac{8 C_2-2}{8 C_2-3}<\gamma <2, \lambda =\sqrt{2} \sqrt{\frac{C_2}{4 C_2-1}}\), or

      9. (ix)

        \(\frac{1}{2}<C_2\le 1, 1<\gamma <\frac{8 C_2-2}{8 C_2-3}, \lambda =\sqrt{2} \sqrt{\frac{C_2}{4 C_2-1}}\), or

      10. (x)

        \(\frac{1}{2}<C_2\le 1, \frac{8 C_2-2}{8 C_2-3}<\gamma <2, \lambda =\sqrt{2} \sqrt{\frac{C_2}{2 C_2-1}}\), or

      11. (xi)

        \(\frac{1}{2}<C_2\le 1, 1<\gamma <\frac{8 C_2-2}{8 C_2-3}, \lambda =\sqrt{2} \sqrt{\frac{C_2}{2 C_2-1}}\), or

      12. (xii)

        \(C_2>1, \frac{4 C_2-2}{4 C_2-3}<\gamma <2, \lambda =2 \sqrt{\frac{(\gamma -1) C_2}{\gamma }}\), or

      13. (xiii)

        \(C_2>1, \frac{8 C_2-2}{8 C_2-3}<\gamma <\frac{4 C_2-2}{4 C_2-3}, \lambda =2 \sqrt{\frac{(\gamma -1) C_2}{\gamma }}\), or

      14. (xiv)

        \(C_2>1, 1<\gamma <\frac{8 C_2-2}{8 C_2-3}, \lambda =2 \sqrt{\frac{(\gamma -1) C_2}{\gamma }}\), or

      15. (xv)

        \(C_2>1, \gamma =\frac{4 C_2-2}{4 C_2-3}, \lambda =\sqrt{2} \sqrt{\frac{C_2}{4 C_2-1}}\), or

      16. (xvi)

        \(C_2>1, \gamma =\frac{8 C_2-2}{8 C_2-3}, \lambda =\sqrt{2} \sqrt{\frac{C_2}{4 C_2-1}}\), or

      17. (xvii)

        \(C_2>1, \frac{4 C_2-2}{4 C_2-3}<\gamma <2, \lambda =\sqrt{2} \sqrt{\frac{C_2}{4 C_2-1}}\), or

      18. (xviii)

        \(C_2>1, \frac{8 C_2-2}{8 C_2-3}<\gamma <\frac{4 C_2-2}{4 C_2-3}, \lambda =\sqrt{2} \sqrt{\frac{C_2}{4 C_2-1}}\), or

      19. (xix)

        \(C_2>1, 1<\gamma <\frac{8 C_2-2}{8 C_2-3}, \lambda =\sqrt{2} \sqrt{\frac{C_2}{4 C_2-1}}\), or

      20. (xx)

        \(C_2>1, \gamma =\frac{4 C_2-2}{4 C_2-3}, \lambda =\sqrt{2} \sqrt{\frac{C_2}{2 C_2-1}}\), or

      21. (xxi)

        \(C_2>1, \gamma =\frac{8 C_2-2}{8 C_2-3}, \lambda =\sqrt{2} \sqrt{\frac{C_2}{2 C_2-1}}\), or

      22. (xxii)

        \(C_2>1, \frac{4 C_2-2}{4 C_2-3}<\gamma <2, \lambda =\sqrt{2} \sqrt{\frac{C_2}{2 C_2-1}}\), or

      23. (xxiii)

        \(C_2>1, \frac{8 C_2-2}{8 C_2-3}<\gamma <\frac{4 C_2-2}{4 C_2-3}, \lambda =\sqrt{2} \sqrt{\frac{C_2}{2 C_2-1}}\), or

      24. (xxiv)

        \(C_2>1, 1<\gamma <\frac{8 C_2-2}{8 C_2-3}, \lambda =\sqrt{2} \sqrt{\frac{C_2}{2 C_2-1}}\).

    4. (f)

      \(P_{15}(\lambda )\) is a hyperbolic saddle for:

      1. (i)

        \(\frac{1}{2}<C_2\le 1, \frac{8 C_2-2}{8 C_2-3}<\gamma <2\),

        \( \sqrt{2} \sqrt{\frac{C_2}{4 C_2-1}}<\lambda <2 \sqrt{\frac{(\gamma -1)C_2}{\gamma }}\), or

      2. (ii)

        \(C_2>1, \frac{4 C_2-2}{4 C_2-3}<\gamma <2\),

        \( \sqrt{2} \sqrt{\frac{C_2}{4 C_2-1}}<\lambda <\sqrt{2} \sqrt{\frac{C_2}{2 C_2-1}}\), or

      3. (iii)

        \(C_2>1, \frac{8 C_2-2}{8 C_2-3}<\gamma \le \frac{4 C_2-2}{4 C_2-3}\),

        \( \sqrt{2} \sqrt{\frac{C_2}{4 C_2-1}}<\lambda <2\sqrt{\frac{(\gamma -1)C_2}{\gamma }}\), or

      4. (iv)

        \(0<C_2\le \frac{1}{4}, 1<\gamma <2, \lambda >2 \sqrt{\frac{(\gamma -1)C_2}{\gamma }}\), or

      5. (v)

        \(\frac{1}{4}<C_2\le \frac{1}{2}, 1<\gamma <2\),

        \( 2 \sqrt{\frac{(\gamma -1)C_2}{\gamma }}<\lambda <\sqrt{2} \sqrt{\frac{C_2}{4 C_2-1}}\), or

      6. (vi)

        \(C_2>\frac{1}{2}, 1<\gamma <\frac{8 C_2-2}{8 C_2-3}\),

        \( 2 \sqrt{\frac{(\gamma -1)C_2}{\gamma }}<\lambda <\sqrt{2} \sqrt{\frac{C_2}{4 C_2-1}}\), or

      7. (vii)

        \(\frac{1}{4}<C_2\le \frac{1}{2}, 1<\gamma <2, \lambda >\sqrt{2} \sqrt{\frac{C_2}{4 C_2-1}}\), or

      8. (viii)

        \(\frac{1}{2}<C_2\le 1, \frac{8 C_2-2}{8 C_2-3}<\gamma <2\),

        \( 2 \sqrt{\frac{(\gamma -1)C_2}{\gamma }}<\lambda <\sqrt{2} \sqrt{\frac{C_2}{2 C_2-1}}\), or

      9. (ix)

        \(\frac{1}{2}<C_2\le 1, 1<\gamma \le \frac{8 C_2-2}{8 C_2-3}\),

        \( \sqrt{2} \sqrt{\frac{C_2}{4 C_2-1}}<\lambda <\sqrt{2} \sqrt{\frac{C_2}{2 C_2-1}}\), or

      10. (x)

        \(C_2>1, \frac{8 C_2-2}{8 C_2-3}<\gamma <\frac{4 C_2-2}{4 C_2-3}\),

        \( 2 \sqrt{\frac{(\gamma -1)C_2}{\gamma }}<\lambda <\sqrt{2} \sqrt{\frac{C_2}{2 C_2-1}}\), or

      11. (xi)

        \(C_2>1, 1<\gamma \le \frac{8 C_2-2}{8 C_2-3}\),

        \( \sqrt{2} \sqrt{\frac{C_2}{4 C_2-1}}<\lambda <\sqrt{2} \sqrt{\frac{C_2}{2 C_2-1}}\), or

      12. (xii)

        \(C_2>1, \frac{4 C_2-2}{4 C_2-3}<\gamma <2\),

        \( \sqrt{2} \sqrt{\frac{C_2}{2 C_2-1}}<\lambda <2 \sqrt{\frac{(\gamma -1)C_2}{\gamma }}\).

Fig. 15
figure 15

Real parts of the \(\mu _i\)’s corresponding to \(P_{14}(\lambda )\) for some values of \(C_2\)

7.5 Discussion

In this section, timelike self-similar spherically symmetric models with scalar field (81), were qualitatively analyzed using dynamical systems tools. The first notable feature of the present model is that for non- homogeneous scalar field \(\phi (t, x)\) and its potential \( V(\phi (t, x)) \) to satisfy the homothetic symmetry imposed by the metric, it is required [70]:

$$\begin{aligned} \phi (t,x)&=\psi (x)-\lambda t, \\ V(\phi (t,x))&= e^{-2 t}U(\psi (x)), \\ U(\psi )&=U_0 e^{-\frac{2 \psi }{\lambda }}. \end{aligned}$$

It is assumed that \(\lambda >0\), such that for \(\psi >0\), \(U\rightarrow 0\) as \(\lambda \rightarrow 0\). The equations were normalized with the variable \(\theta \).

Due to the computational complexity of the resulting problem, it was not possible to obtain and analytically treat all the equilibrium points of the system (90). Hence, only some special cases of physical interest were considered, being (94) corresponding to a perfect fluid in the form of an ideal gas, (96) corresponding to the solutions in the invariant set \(\varSigma = 0 \), (97) corresponding to the case of extreme inclination. Finally, the invariant set \(A = v = 0 \) sets of system (98) was studied. The hyperbolic points were completely classified according to their stability conditions.

8 Conclusions

In this paper the space of the solutions of the differential equations that result from considering perfect fluid and/ or scalar field as the matter content in the Einstein–æther theory was studied. Einstein–æther theory of gravity consists of General Relativity coupled to a vector field of unit time type, called the æther. In this effective theory, the Lorentz invariance is violated, but the locality and the covariance are preserved in the presence of the vector field.

In Sect. 2 the \( 1 + 3 \) formalism was discussed. This formalism is useful to write the field equations as a system of partial differential equations in two variables for spherically symmetric metrics. Furthermore, using the homothetic diagonal formulation, it was possible to write the partial differential equations as ordinary differential equations using the fact that the metric adapts to homothetic symmetry. The resulting equations (with algebraic restrictions) are very similar to those of the models with homogeneous spatial hypersurfaces [75]. It was then possible to use the techniques of the qualitative theory of dynamical systems for the stability analysis of the solutions of the models. The analytical results were verified by numerical integration.

In the Sect. 3 the Einstein–æther theory of gravity was presented, which contains the theory of General Relativity as a limit. Conformally static metrics were studied in Einstein–æther theory for models of physical interest, such as pressure-free perfect fluids, perfect fluids, and models with extreme tilt. The stability criteria of the equilibrium points of the dynamical systems were obtained and discussed, imposing restrictions on the parameter space. Phase portraits were also presented to illustrate the qualitative behavior of the solutions. The equilibrium points obtained by [67] are recovered as particular cases of the present model. In the notation \(\text {Kernel} ^ {\text {sgn} (v)}_ {\text {sgn} ({\varSigma })} \) the kernel indicates the interpretation of the point: MC represent the Minkowski spacetime; K represents a Kasner solution; T corresponds to static solutions; \( SL _ {\pm } \) corresponds to a flat FLRW space and static orbits depending on the parameter \(\gamma \). H is associated with a change of causality of the homothetic vector field. The following results were retrieved:

  • \(SL_{\pm }\): Sonic lines defined by \({A}=-\frac{\gamma \varepsilon (\gamma (\varSigma +2)-2)}{4 (\gamma -1)^{3/2}}\), \(v=\varepsilon \sqrt{\gamma -1}\), were analyzed in Sect. 5.1. As a difference with general relativity, for \(1<\gamma <2\) and \(C_2= \frac{\gamma ^2}{4 (\gamma -1)^2}\) the system (75) admits the following equilibrium points:

    • \(SL_1\): \(\varSigma = \frac{2 (\gamma -1)}{\gamma },v=\sqrt{\gamma -1}, A= - \frac{\gamma (\gamma (\varSigma +2)-2)}{4 (\gamma -1)^{3/2}}\),

    • \(SL_2\): \(\varSigma = -\frac{2 (\gamma -1)}{\gamma },v= -\sqrt{\gamma -1}, A= \frac{\gamma (\gamma (\varSigma +2)-2)}{4 (\gamma -1)^{3/2}}\),

    which lie on the sonic line. If \( \gamma = 2, C_2 = 1 \) these points exist, and since \( \gamma = 2 \) the fluid behaves like stiff matter. Additionally, if \( \gamma = 2, C_2 = 1 \), these points correspond to models with extreme tilt (\( v = \varepsilon \)), \(SL_1: \varSigma = 1, A = -2, v = 1 \), and \(SL_2: \varSigma = -1, A = 0, v = -1 \). \( SL_ {\pm }\) corresponds to a flat FLRW space and static orbits depending on the parameter \(\gamma \).

  • \({\widetilde{M}}^{\pm }: ({\varSigma }, {A}, v)=\left( 0,1,\frac{(\gamma -1) \gamma \pm \left( \sqrt{(\gamma -1) \left( (\gamma -1) \gamma ^2+(2-\gamma ) (3 \gamma -2)\right) }\right) }{2-\gamma }\right) \), \(({K},\varOmega _t)=(0,0)\), exist for \(C_2=1\). They represent the Minkowski space-time.

  • \(M^+:\) \(({\varSigma }, {A}, v)=(0,1,1),\quad ({K},\varOmega _t)=(0,0)\), corresponds to \(P_5\) for \(C_2=1\). It represents the Minkowski space-time.

  • \(M^-:\) \(({\varSigma }, {A}, v)=(0,1,-1),\quad ({K},\varOmega _t)=(0,0)\), corresponds to \(P_6\) for \(C_2=1\). It represents the Minkowski space-time.

  • \(C^0:\) \(({\varSigma }, {A}, v)=(0,0,0),\quad ({K},\varOmega _t)=(1,0)\), corresponds to \(N_1\). It represents the Minkowski space-time.

  • \(C^{\pm }:\) \(({\varSigma }, {A}, v)=(0,0,\pm 1),\quad ({K},\varOmega _t)=(1,0)\), correspond to \(N_{2,3}\). They represent the Minkowski space-time.

  • \(K^0_-:\) \(({\varSigma }, {A}, v)=(-1,0,0),\quad ({K},\varOmega _t)=(0,0)\), corresponds to \(P_{11}\) for \(C_2=1\). It represents the Kasner solution.

  • \(K^0_+:\) \(({\varSigma }, {A}, v)=(1,0,0),\quad ({K},\varOmega _t)=(0,0)\), corresponds to \(P_{12}\) for \(C_2=1\). It represents the Kasner solution.

  • \(K^{\pm }_-:\) \(({\varSigma }, {A}, v)=(-1,0,\pm 1),\quad ({K},\varOmega _t)=(0,0)\), correspond to \(P_{1,2}\) for \(C_2=1\). They represent the Kasner solution.

  • \(K^{\pm }_+:\) \(({\varSigma }, {A}, v)=(1,0,\pm 1),\quad ({K},\varOmega _t)=(0,0)\), correspond to \(P_{3,4}\) for \(C_2=1\). They represent the Kasner solution.

  • T :  \(({\varSigma }, {A}, v)=\left( -2\frac{\gamma -1}{3\gamma -2},0,0\right) \),

    \( ({K},\varOmega _t)=\left( \frac{\gamma ^2+4(\gamma -1)}{(3\gamma -2},\frac{4(\gamma -1)}{(3\gamma -2}\right) \), corresponds to \(P_{13}\) for \(C_2=1\).

  • \(H^-\): The curve of equilibrium points \( {A}( {\varSigma })= {\varSigma } +1\), \(v( {\varSigma })=-1\), \(\quad (0,-2 {\varSigma } {A})\). This line of equilibrium points is associated with a change of causality of the homothetic vector field.

These results are of interest in Cosmology and Astrophysics.

In Sect. 6 conformally static metrics were studied in Einstein–æther theory for models with tilted perfect fluid and inhomogeneous scalar field with exponential potential, so the model contains the model studied in Sect. 4 and thus contains the model studied in [75]. Particular cases of interest in Physics were studied, such as the perfect fluid in the form of an ideal gas, solutions with \(\varSigma = 0\), models with extreme tilt and the invariant set \(A = v = 0\). It was possible to study a more general model than the one studied in [75], and the results obtained by the authors were reproduced through the use of techniques from the qualitative theory of dynamical systems. A qualitative analysis of some invariant points was also made for models with timelike self-similar spherically symmetric metrics with a perfect fluid and a scalar field. New equilibrium points were obtained, and their stability conditions were found either numerically or analytically, by imposing restrictions on the parameter space.