Abstract
For a prescribed deterministic kinetic energy, we use convex integration to construct analytically weak and probabilistically strong solutions to the 3D incompressible Navier–Stokes equations driven by a linear multiplicative stochastic forcing. These solutions are defined up to an arbitrarily large stopping time and have deterministic initial values, which are part of the construction. Moreover, by a suitable choice of different kinetic energies which coincide on an interval close to time 0, we obtain non-uniqueness.
Similar content being viewed by others
Avoid common mistakes on your manuscript.
1 Introduction
1.1 Motivation and previous works
Proving existence and smoothness of strong solutions to the incompressible Navier–Stokes equations is a longstanding open problem in the field of fluid dynamics. It is the subject of one of the Millennium Prize Problems and caused, especially in the recent years, worldwide much attention.
The method of convex integration played a particularly important role in the last developments. It was initially introduced by Nash and Kuiper in order to prove the celebrated Nash–Kuiper theorem [26, 27, 32] and further developed by Müller and Šverák [31]. De Lellis and Székelyhidi brought these ideas to fluid dynamics in a series of breakthrough works. First of all, they were able to construct infinitely many weak solutions to the incompressible Euler equations which dissipate the total kinetic energy and satisfy the global and local energy inequality [10,11,12]. Subsequently, the regularity of such solutions was gradually increased, see [2, 14] leading to the proof of Onsager’s conjecture by Isett [25] and a refinement by Buckmaster et al. [3].
These works led to a number of further important papers. One of the key groundbreaking results was the non-uniqueness of weak solutions to the incompressible Navier–Stokes equations with finite kinetic energy by Buckmaster and Vicol [6]. Let us also mention a similar result for power-law Navier–Stokes equations by Burczak et al. [7].
Meanwhile, the method of convex integration also found its way to the theory of stochastic partial differential equations. Perturbing deterministic systems of partial differential equations by a certain stochastic noise has a long tradition. The motivation can be for instance to model intrinsic uncertainties or chaotic behavior of the studied systems. Particularly in fluid dynamics, coming together with the obstacles related to the Millennium Prize Problem and the above mentioned negative results, the hope was that the noise may provide some regularizing effect.
Some positive results could indeed be achieved. For instance, considering in particular a linear multiplicative noise provides a certain stabilization effect on the three-dimensional Navier–Stokes equations see Röckner et al. [34]. Delayed blowup with large probability was obtained by Flandoli and Luo for the vorticity form of the three-dimensional Navier–Stokes equations perturbed by a suitable transport noise [17]. Flandoli et al. [16] then showed that the delayed blowup is also provided by deterministic but highly oscillatory vector fields.
Another idea how to use the noise might be to try to prove uniqueness in law. This could potentially be true even if pathwise uniqueness failed. Moreover, if additionally existence of probabilistically strong solutions could be established, one might hope to use the celebrated Yamada–Watanabe–Engelbert’s theorem (see [9, 19, 28]) to deduce pathwise uniqueness. These hopes were proved wrong in the setting of the three-dimensional Navier–Stokes equations in a series of works [19, 20, 22, 24], which developed a stochastic variant of the convex integration method.
The first result on convex integration for stochastic PDEs was published by Breit, Feireisl and Hofmanová [4], dealing with the ill-posedness of the stochastic barotropic Euler system. A stochastic counterpart to [6] was obtained by Hofmanová, Zhu and Zhu [19], who were able to show non-uniqueness in law for 3D Navier–Stokes equations driven by an additive, linear multiplicative as well as a certain nonlinear cylindrical noise. In [24], the same authors proved existence and non-uniqueness of analytically weak and probabilistically strong solutions to the stochastic 3D Navier–Stokes equations with a prescribed energy and driven by an additive noise.
Further stochastic versions of the convex integration were developed to prove non-uniqueness of dissipative martingale solutions to 3D stochastic Euler equations [21], global existence and non-uniqueness for 3D stochastic Navier–Stokes equations with space time white noise [20], non-unique ergodic solutions for 3D Navier–Stokes equations and Euler equations [22] as well as sharp non-uniqueness of solutions to stochastic Navier–Stokes equations [8]. Very recently first results regarding the 3D Euler equations with transport noise [18], power-law equations with additive noise [30] and surface quasi-geostrophic equations with irregular spatial perturbations could already be achieved [23].
A series of further results regarding non-uniqueness in law for several stochastic partial differential equations, such as the transport-diffusion equation, the 3D magnetohydrodynamics system or also the hypodissipative Navier–Stokes equations, were attained by Yamazaki [37, 38], Koley and Yamazaki [29] and Rehmeier and Schenke [33]. These equations are perturbed either by an additive or linear multiplicative noise.
Up to now, it has not been known whether the kinetic energy could be prescribed a priori for the case 3D Navier–Stokes equations with linear multiplicative noise. This is the main goal of the present paper. In particular, we follow the ideas of [19] and [24] to establish the existence and non-uniqueness of solutions to the 3D incompressible Navier–Stokes equations driven by a multiplicative noise up to an arbitrarily large stopping time. We are able to show that the kinetic energy of the constructed solutions equals a prescribed energy profile. To this end, we make use of a transformation to a random PDE and the convex integration technique and it was necessary to find the correct formulation of the main iteration.
1.2 Main result
We consider the three-dimensional incompressible Navier–Stokes equations perturbed by a linear multiplicative forcing
posed on \([0,T]\times \mathbb {T}^3\times \Omega \) for some \(T>0\), where \(\left( B_t\right) _{t \in [0,T]}\) is a real-valued Brownian motion on an given probability space \(\left( \Omega , \mathcal {F}, \mathcal {P}\right) \) and \(\mathbb {T}^3= [0,2\pi ]^3 \) denotes the three-dimensional torus. Moreover, let \(\left( \mathcal {F}_{t}\right) _{t \in [0,T]}\) be the natural filtration generated by \(\left( B_t\right) _{t \in [0,T]}\).
For some pressure \(P:[0,T]\times \mathbb {T}^3\times \Omega \rightarrow \mathbb {R}\), the system governs the time evolution of the velocity \(u :[0,T]\times \mathbb {T}^3\times \Omega \rightarrow \mathbb {R}^3\) of an incompressible fluid with viscosity \(\nu \). Throughout the paper, the viscosity is, for the sake of simplicity, assumed to be 1, which physically corresponds to water of \(20^\circ \)C (cf. [1], p. 1238, Table 3) and moreover we will often deal with the \(\mathbb {T}^3\)-periodic extensions of u and P on \(\mathbb {R}^3\), which can be identified with functions on the three-dimensional flat torus \(\mathbb {R}^3\setminus \left( 2\pi \mathbb {Z}\right) ^3\).
In this paper, we are concerned with finding solutions in the following sense:
Definition 1.1
An \(\left( \mathcal {F}_t\right) _{t \in [0,T]}\)-adapted solution u to (1.1) is said to be probabilistically strong and analytically weak if
-
(i)
it belongs for some \(\gamma \in (0,1)\) to \(C\left( [0,T];H^\gamma \left( \mathbb {T}^3\right) \right) \) \(\mathcal {P}\)-a.s.,
-
(ii)
it satisfies
$$\begin{aligned} \int _0^t \int _{\mathbb {T}^3} u(s,x,\omega )\cdot \varphi (x) \,dx \,dB_s=&\int _{\mathbb {T}^3} \Big (u(t,x,\omega )-u(0,x,\omega )\Big )\cdot \varphi (x)\,dx\\ {}&-\int _0^t \int _{\mathbb {T}^3} (u \otimes u)(s,x, \omega ): \nabla \varphi ^T(x)\,dx \,ds\\ {}&+ \int _0^t \int _{\mathbb {T}^3} u(s,x,\omega )\cdot \Delta \varphi (x)\,dx\,ds \end{aligned}$$for every divergence-free test function \(\varphi \in C^\infty \left( \mathbb {T}^3;\mathbb {R}^3\right) \), any \(t \in [0,T]\) and \(\mathcal {P}\)-almost all \(\omega \in \Omega \),
-
(iii)
it is weakly divergence free, i.e., it obeys
$$\begin{aligned} \int _{\mathbb {T}^3} \Big (u(t,x,\omega )\cdot \nabla \Big )\phi (x) \,dx = 0 \end{aligned}$$for all \(\phi \in C^\infty \left( \mathbb {T}^3;\mathbb {R}\right) \), \(\mathcal {P}\)-almost all \(\omega \in \Omega \) at any time \(t \in [0,T]\).
Note that working with divergence-free test functions in the definition above allows to eliminate the pressure term, which can be reconstructed after a weak solution has been found. We can now formulate our main result:
Theorem 1.2
For any \(L>0\) arbitrarily large and every energy \(e\in C^1_b\big ( [0,L];\)\(\left. [\underline{e},\infty )\right) \), satisfying
for some constants \(4< \underline{e}\le \bar{e}\) and \(\widetilde{e}>0\) a probabilistically strong and analytically weak solution u to (1.1), depending explicitly on the given energy e, can be constructed up to a \(\mathcal {P}\)-a.s. strictly positive stopping time
with \(\iota \in \Big (\frac{1}{3}, \frac{1}{2}\Big )\). This solution has deterministic initial value \(u_0\) and belongs to \(C\left( [0,\tau ];H^\gamma \left( \mathbb {T}^3\right) \right) \) \(\mathcal {P}\)-a.s. for some \(\gamma \in (0,1)\). It obeys
and its kinetic energy is given by e, i.e.,
as long as \(t \in [0,\tau ]\).
Moreover, the following consistency result holds:
If two energies with the same bounds \(\underline{e}, \bar{e}, \widetilde{e}\) coincide for some \(t \in [0,L]\) everywhere on [0, t], then so do the corresponding solutions on \([0,t \wedge \tau ]\).
The proof of 1.2 is based on a convex integration scheme. That is, after transforming (1.1) to a random PDE, we develop an iteration procedure and apply it to the just received equation.
More precisely, if u solves (1.1), the function \(v:=e^{-B}u\) is by Itô’s formula a solution to the ensuing system
where \(\Theta \) is the stochastic process given by
and the converse is also true. In fact, applying Itô’s formula to the smooth function \(f:[0,T]\times \mathbb {R} \rightarrow \mathbb {R}\), \(f(t,y):= e^{-y}\) yields \(de^{-B_t}=\frac{1}{2}e^{-B_t}\, dt- e^{-B_t}\, dB_t\) and by Itô’s product rule and (1.1) we conclude (1.2).
1.3 Organization of the paper
We organize the present paper as follows: Chapter 2 is devoted to the collection of basic notations used throughout this paper. In Chapter 3, we outline the convex integration technique to prove Proposition 4.1. This is the core of the proof of our main Theorem 1.2, which is established in Chapter 4. “Appendix A” covers some lemmata used in the previous chapters.
2 Preliminaries
In order to define several function spaces and operators, we need the Fourier transform and the inverse Fourier transform of a function u on \(\mathbb {T}^3\) given by
for any \(n \in \mathbb {Z}^3\) and \(x\in \mathbb {T}^3\), respectively, where the series shall be understood as the limit of partial sums with square cutoff
Moreover, for \(d \in \mathbb {N}\) we will often deal with the spaces of symmetric or traceless \(d \times d\)-matrices A, designated by \(\mathbb {R}_{\text {sym}}^{d\times d}\) and \(\mathring{\mathbb {R}}^{d\times d}\), respectively. As usual we consider the Frobenius norm on them and in order to elucidate that the matrix itself is traceless we will frequently write \(\mathring{A}\) instead of A.
2.1 Function spaces
For some \(N\in \mathbb {N}_0\cup \{\infty \},\, T\in [0,\infty )\) and a Banach space \(\left( Y,\Vert \cdot \Vert _Y\right) \), we denote the space of all N-times continuously differentiable functions from \(X\in \{ \mathbb {T}^3,\mathbb {R}^3\}\) to Y by \(C_{XY}^N\) and from \(X=(-\infty ,T]\) to Y we shorten \(C_{TY}^N\). Endowed with the natural norms
respectively, it is well known that they become Banach spaces.
Sometimes we will omit writing X or Y if it is clear from the context which domain or codomain is considered, and moreover, we will frequently write \(C_{XY}\) instead of \(C^0_{XY}\). In particular, \(\Vert u\Vert _C\) is the usual supremum norm, which will also be used for more general normed spaces X.
There should be no misunderstanding when we talk about \(C_c^N\)- and \(C_b^N\)-functions, meaning the N-times continuous differentiable ones with compact support and the ones that are either bounded from above, bounded from below or even both.
Besides it is customary to introduce the space of test functions
and we moreover label by \(C_{T,x}^N\) the space of all N-times continuously differentiable functions on \((-\infty ,T]\times \mathbb {T}^3\), equipped with the corresponding norm
We will speak of Hölder-continuous functions u on \(X\in \{\mathbb {T}^3,\mathbb {R}^3\}\) of exponent \(N+\iota \) with \(N\in \mathbb {N}_0\) and \(\iota \in (0,1]\), whenever
holds, where
is the \(\iota ^\text {th}\)-Hölder seminorm. For functions on \((-\infty ,T]\), we define the space in the same manner.
The space of Bochner-integrable functions \(L^p\left( X;Y\right) \) consists of the equivalence classes of all functions \(u:X \rightarrow Y\), which coincide \(\mathcal {P}\)-almost everywhere and for which the usual \(L^p\)-norm \(\Vert \cdot \Vert _{L^p}\) is finite, whereas \(\left( W^{k,p}\big ( X;\mathbb {R}^d\big ),\Vert \cdot \Vert _{W^{k,p}}\right) \) should be the usual Sobolev space for all \(k \in \mathbb {N}_0\) and \(1\le p\le \infty \). Moreover, we denote by \(W^{k,p}_0\left( X\right) \) the closure of \(\mathcal {D}\left( X\right) \) in \(\left( W^{k,p}\big (X\big ),\Vert \cdot \Vert _{W^{k,p}}\right) \) and by \(W^{-k,q}\left( X\right) \) the dual space of \(W^{k,p}_0\left( X\right) \) with \(\frac{1}{p}+ \frac{1}{q}=1\).
The Bessel potential spaces are for any \(p,q\in (1,\infty )\), \(\frac{1}{p}+\frac{1}{q}=1\) on \(\mathbb {T}^3\) defined in the spirit of [35, 36]:
We set
for \(s\ge 0\), whereas we define
whenever \(s>0\), which can be identified with the dual space of \(W^{s,q}\left( \mathbb {T}^3\right) \) (see also [13]).
Endowed with the canonical norms
respectively, these spaces become Banach spaces and furthermore we stipulate \(\displaystyle H^s\left( X\right) \)\(:= W^{s,2}\left( X\right) \).
For \(p\in [1,\infty ], \, d\in \mathbb {N}\) and \(X\in \{\mathbb {N}^d, \mathbb {Z}^d\}\), we denote by \(\ell ^p(X)\) the usual space of sequences for which the corresponding norm \(\Vert \cdot \Vert _{\ell ^p}\) is finite.
We will often deal with functions of zero mean. So for convenience we set
for any function space X, where \(\mathbb {P}_{\ne 0}\) is the projection onto functions with nonzero frequencies, which will be introduced in 2.2.
2.2 Operators
We will deal with the extended Leray projection \(\mathbb {P}={{\text {Id}}}-\nabla \Delta ^{-1}{{\text {div}}}\) on the Bessel potential spaces \(W_{\ne 0}^{s,p}\left( \mathbb {T}^3\right) \) for every real \(s\ge 0\) and \(p \in (1,\infty )\), which enjoys the following useful property.
Lemma 2.1
The Leray projection commutes \(\mathcal {P}\)-almost everywhere with any partial derivative on \(W_{\ne 0}^{1,p}\left( \mathbb {T}^3\right) \) and if we work with time depended functions u, satisfying
for some \(g\in L^1\left( \mathbb {T}^3\right) \) and all \(x \in \mathbb {T}^3\), even on \(C^1\left( (-\infty ,T];C_{\ne 0}\left( \mathbb {T}^3\right) \right) \) with \(T>0\). In other words,
holds for all \(x\in \mathbb {T}^3\), each \(t\in \mathbb {R} \) and \(j=1,2,3\).
Moreover, it is very common and practical to introduce the Fourier multiplier operators, which project a function onto its null mean frequencies and onto its frequencies \(\le \kappa \) in absolute value.
Definition 2.2
For any \(u \in L^p\left( \mathbb {T}^3\right) \) with \(1<p\le \infty \), we denote by
![](http://media.springernature.com/lw519/springer-static/image/art%3A10.1007%2Fs00028-023-00884-0/MediaObjects/28_2023_884_Equ261_HTML.png)
the projection onto its nonzero frequencies.
Furthermore, for all real \(\kappa \ge 1\) we define the operators \(\mathbb {P}_{\le \kappa }\) and \(\mathbb {P}_{\ge \kappa }\) as
and
respectively, where we set \(\chi _\kappa := \chi \left( \frac{\cdot }{\kappa }\right) \) for the smooth compactly supported function \(\chi \in C_c^\infty \left( \mathbb {R}^3\right) \) given by
Lemma 2.3
The above operators \(\mathbb {P}_{\ne 0},\, \mathbb {P}_{\le \kappa }\) and \(\mathbb {P}_{\ge \kappa }\) are for each real \(\kappa \ge 1\) and \(1<p\le \infty \) continuous on \(L^p\left( \mathbb {T}^3\right) \), where the implicit constants do not depend on \(\kappa \).
Lemma 2.4
For all real \(\kappa \ge 1\), it holds
whenever \(1<p<\infty \).
Lemma 2.5
For all \(\Big (\frac{\mathbb {T}}{L}\Big )^3\)-periodic functions \(u \in L^p \left( \mathbb {T}^3\right) \) with \(L \in \mathbb {N}\) and \(1< p\le \infty \), the operators \(\mathbb {P}_{\le \kappa }\) and \(\mathbb {P}_{\ge \kappa }\) can be written as
and
respectively. If additionally \(L>\kappa \), we have that
3 Outline of the convex integration scheme
The convex integration scheme is an iterative procedure giving rise to solutions to several deterministic and stochastic PDEs. Also in the present paper, we construct, based on a suitable starting point, a solution \(v_q\) to (1.2) on \((-\infty ,\tau ]\) perturbed by an error term \(\mathring{R}_q\), called Reynolds stress, on the level \(q\in \mathbb {N}_0\). While the iterations \(v_q\) approach the desired velocity v, solving (1.2) on \([0,\tau ]\), the stress tensor \(\mathring{R}_q\) becomes step by step infinitesimally small. The convex integration technique provides typically a way to construct even an infinite number of such solutions, as it is also the case in the present paper.
For the construction of our sequence \((v_q,\mathring{R}_q)_{q\in \mathbb {N}_0}\), we previously have to fix some parameters, done in Sect. 3.1. Section 3.2 is concerned with the key bounds that each pair \((v_q,\mathring{R}_q)\) has to fulfill. In Sect. 3.3, we recall the definitions of intermittent jets used to give an explicit expression of \(v_{q+1}\). Section 3.4 is then concerned with the verification of the key bounds of the next iteration step \(v_{q+1}\), culminating in the proof of convergence of the sequence \(\left( v_q\right) _{q\in \mathbb {N}_0}\). In Sect. 3.5, we decompose the Reynolds stress, and in Sect. 3.6, we verify the key bound for this tensor on the level \(q+1\). We close this chapter in Sect. 3.7 by proving that our constructed sequence is adapted and deterministic at any time \(t\le 0\).
3.1 Choice of parameters
To simplify the upcoming computations we assume \(L=1\) in 1.2 and for sufficiently large \(a \in \mathbb {N}, b\in 7\mathbb {N}\) and sufficiently small \(\alpha ,\beta \in (0,1)\), we require
and define
for \(q\in \mathbb {N}_0\). As a consequence, the following estimates hold
Particularly, that means \(\ell \in (0,1)\) and we have developed an increasing and a decreasing sequence \(\left( \lambda _q\right) _{q \in \mathbb {N}_0}\subseteq \mathbb {N}\), \(\left( \delta _q\right) _{q\ge 2}\subseteq (0,1)\), which diverges to \(\infty \) and converges to 0, respectively. We therefore find some \(q_0 \in \mathbb {N}\) so that the above parameters additionally fulfill
for every \(q\ge q_0\), where \(K, \,\widetilde{K}, \, \hat{K}, \, K^*, \, K^\prime , \, K^{\prime \prime }, \, S, \, \widetilde{S},\,\hat{S}, \, \frac{M}{4|\Lambda |}\) and \(M_0\ge 1\) are universal constants determined by (3.28), (3.29), (3.38), (3.39), (3.40), (3.41), (3.45), (3.46), (3.7) and (3.26), respectively.
Note that the assumption \(33(2\pi )^{3/2}M_0 m^{9/4}(\bar{e}+\widetilde{e}) \lambda _{q+1}^{-\alpha \big (\frac{3}{2}\iota -\frac{1}{2}\big )} \le \frac{1}{1500m^{1/2}}\) requires \(\iota >\frac{1}{3}\). Choosing furthermore a, b sufficiently large and \(\alpha ,\beta \) sufficiently small enough permits to suppose \(q_0=1\).
3.2 Start of the iteration
In view of (1.2), we are concerned with an adapted velocity field \(v_q\) and a symmetric traceless matrix \(\mathring{R}_q\); solving the transformed Navier–Stokes–Reynolds system reads
and that obey
for \(q\in \mathbb {N}_0\), any \(t\in (-\infty ,\tau ]\) and some universal constant \(M_0\ge 1\). Here, we have to include also negative times in order to avoid several problems by decomposing the Reynolds stress in Sect. 3.5. For this purpose, the energy e and the Brownian motion B are continuously extended to functions on \((-\infty ,\tau ]\) by taking them equal to the value at \(t=0\). We furthermore set \(\sum _{r=1}^0:=0\) and point out that \(\sum _{r=1}^q \delta _r^{1/2}\) is bounded by 2. Indeed, thanks to the assumed \(a^{\beta b} \ge 2\) it holds
Moreover, we require
at any time t up to the stopping time \(\tau \). In other words, the given energy e will be gradually approximated by the kinetic energies of the iterations \(e^Bv_q\).
If we set \(\mathcal {F}_t:=\mathcal {F}_0\) whenever \(t<0\), the pair \(\big (v_0,\mathring{R}_0\big ):=(0,0)\) is evidently a deterministic, hence \(\left( \mathcal {F}_t\right) _{t\in \mathbb {R}}\)-adapted, weak solution to (3.2), satisfying (3.3) as well as (3.5). Therefore, we may start our iteration procedure with this pair.
3.3 Construction of \(v_{q+1}\)
In order to obtain more regularity, we refrain in defining the next iteration \(v_{q+1}\) in mere dependence of \(v_q\). Instead we intend to define \(v_{q+1}\) in terms of the mollified velocity field \(v_\ell \) and a perturbation \(w_{q+1}\), pointed out in the two subsequent sections. For short, the new velocity field will be given as
3.3.1 Mollification
Let us start with the mollification of the velocity \(v_q\). For this end, we consider the standard mollifier
on \(\mathbb {R}^3\) and the shifted mollifier
on \(\mathbb {R}\), where \(C_{\text {space}},C_{\text {time}}>0\) are chosen, such that \(\int _{\mathbb {R}^3}\phi (x)\, dx=1\) and \(\int _{\mathbb {R}}\varphi (t)\, dt=1\), as usual. Thus, the convolution of \(v_q\) with the rescaled mollifiers \(\phi _\ell :=\frac{1}{\ell ^3}\phi (\frac{\cdot }{\ell })\) and \(\varphi _\ell :=\frac{1}{\ell }\varphi (\frac{\cdot }{\ell })\) yields a smooth function in space and time, and of \(\Theta \) with \(\varphi _\ell \) just in time.
For short, we consider
where \(\mathring{R}_\ell \) remains traceless, because the mollification acts only componentwise.
It is worth noting that the adaptedness of \(v_\ell ,\, \mathring{R}_\ell \) and \(\Theta _\ell \) follows from the fact that the support of \(\varphi \) lives in \(\mathbb {R}^+\). In fact, let \(\Pi _\ell \) be the set that contains all partitions of \([0,\ell ]\) of the form \(\{0=s_0<s_1<\ldots <s_n=\ell \}\) for some \(n\in \mathbb {N}\). Then, for any \(t\in (-\infty ,\tau ]\) and \(x\in \mathbb {T}^3\) the function
is \(\mathcal {F}_t\)-measurable.
Taking into account that the convolution in space does not influence the behavior of \((v_q *_t \varphi _\ell )\) in time, \(v_\ell \) inherits the \(\left( \mathcal {F}_t\right) _{t\in \mathbb {R}}\)-adaptedness and so do \(\mathring{R}_\ell \) and \(\Theta _\ell \).
It is easy to see that \(v_\ell \) is close to \(v_q\) w.r.t. \(\Vert \cdot \Vert _{L^2}\) at any time up to the stopping time \(\tau \) and fulfills (3.3) as well. More precisely, the subsequent Lemma from [24], p. 10 holds.
Lemma 3.1
The mollification \(v_\ell \), defined above, enjoys the following bounds
for any \(t \in (-\infty ,\tau ]\) and \(N\ge 1\).
The proof is rather straightforward, so that we do not pursue this here.
3.3.2 Perturbation
Let us now have a closer look at the perturbation \(w_{q+1}\). We will decompose it into three parts: the principal part \(w_{q+1}^{(p)}\), the incompressibility corrector \(w_{q+1}^{(c)}\) and the temporal corrector \(w_{q+1}^{(t)}\). Each of them will be defined in terms of the amplitude functions and the intermittent jets, introduced and worked out in [6] and [5], respectively. In what follows, we will give a short review of the necessary facts.
First, we recall the essential geometric lemma from [5].
Lemma 3.2
(Geometric Lemma) There exists a family of smooth real-valued functions \(\left( \gamma _\xi \right) _{\xi \in \Lambda }\), where \(\Lambda \) is a set of finite directions, contained in \(\mathbb {S}^2\cap \mathbb {Q}^3\), so that each symmetric \(3\times 3\) matrix R, satisfying \(\Vert R-{{\,\textrm{Id}\,}}\Vert _F\le \frac{1}{2}\), admits the representation
Second, based on this lemma, we define for all \(N\in \mathbb {N}\) the constant
3.3.3 Amplitude Functions
The function \(\gamma _\xi \) in the geometric Lemma 3.2 is used to define the amplitude functions as
with
for any \(t \in (-\infty , \tau ],\, x\in \mathbb {R}^3,\, \omega \in \Omega \), where \(\eta _\ell \) denotes the mollification in time of \(\eta _q\).
Since we start our iteration procedure with \(\mathring{R}_0=0\), we include a small perturbation \(\ell \) in the definition of \(\rho \) to avoid its degeneracy, whereas the function \(\eta _q\) should pump energy into the system. This enables us to confirm the key bounds (3.3) at level \(q+1\) in Sects. 3.4.2 and 3.6.1, respectively.
Moreover, we point out that (3.5) and our choice of parameters \(a^{\beta b}\ge 2, b\ge 7\) (cf. Sect. 3.1) ensure
which entails
As a consequence, \({{\,\textrm{Id}\,}}-\frac{\mathring{R}_\ell }{\rho }\) fulfills the condition \(\big \Vert {{\,\textrm{Id}\,}}-\frac{\mathring{R}_\ell }{\rho }-{{\,\textrm{Id}\,}}\big \Vert _F\le \frac{1}{2}\) in the geometric Lemma 3.2, so that the amplitude functions are actually well defined.
Now, we would already like to sum up some properties of these functions here.
Lemma 3.3
The amplitude functions enjoy the following bounds
for any \(t \in (-\infty , \tau ]\) and \(N\ge 0\).
The proofs of this lemma and of Lemma 3.6 are collected in Sect. 3.4.1.
In view of [19], one might heuristically think that it makes sense to define the amplitude function as
with
and
In this case, the first statement of 1.2 remains true, but there would appear several problems in order to deduce the energy equality later on.
The factor \(\Theta ^{-2}\) in the definition of \(\eta _q\) is thereby essential to make use of (3.5), so that we can derive practical bounds for amplitude functions later on (cf., e.g., (3.21)), whereas \(\Theta _\ell \) in front of \(\eta _\ell \) in the definition of \(\rho \) is needed to get a suitable cancellation in the first term of (3.30).
3.3.4 Intermittent jets
Let us now proceed with the construction of the intermittent jets. To this end, consider two smooth functions
with support in a ball of radius 1 and center 0, where \(\Phi \) should solve the Poisson equation \(\phi :=-\Delta \Phi \). We require \(\phi \) and \(\psi \) to admit the normalizations
and \(\psi \) to have zero mean. Note that Green’s identity implies \(\int _{\mathbb {T}^2} \phi \,dx \)\(=\int _{\mathbb {T}^2}-\Delta \Phi \,dx=0\) as well.
Moreover, we define
so that we find by our choice of parameters (c.f. Sect. 3.1)
Since the rescaled cutoff functions
remain compactly supported, we will henceforth identify them with their \(\mathbb {T}^2, \mathbb {T}^2\) and \(\mathbb {T}\)-periodic versions.
The vectors \(\xi \in \Lambda \) in the geometric Lemma 3.2 are used to construct the building blocks (3.10) of our intermittent jets. Strictly speaking, let us select \(\left( \alpha _\xi \right) _{\xi \in \Lambda } \subseteq \mathbb {R}^3\) in such a way that
for each \(\xi ,\xi ^\prime \in \Lambda \) and \(z_1,z_2 \in \mathbb {Z}\), which forces the families \(\left( \phi _{(\xi )}\right) _{\xi \in \Lambda }\) and \(\left( \Phi _{(\xi )}\right) _{\xi \in \Lambda }\) given by
to have mutually disjoint support. Here, we consider \(\psi _{(\xi )}\) at any time \(t \in \mathbb {R}\). The vector \(A_\xi \in \mathbb {S}^2 \cap \mathbb {Q}^3\) should be orthogonal to \(\xi \), so that \(\{\xi ,A_\xi ,\xi \times A_\xi \}\subseteq \mathbb {S}^2\cap \mathbb {Q}^3\) forms an orthonormal basis for \(\mathbb {R}^3\) and \(n_*\in \mathbb {N}\) denotes the least common multiple of the denominators of the rational numbers \(\xi _i, (A_\xi )_i\) and \((\xi \times A_\xi )_i,\, i=1,2,3\), in other words \(\big \{n_*\xi , n_*A_\xi ,n_*\big (\xi \times A_\xi \big )\big \}\subseteq \mathbb {Z}^3\).
With these preparations in hand, we introduce the intermittent jet
and its incompressibility corrector
where \(V_{(\xi )}(t,x):=\frac{1}{n_*^2\lambda ^2}\xi \psi _{(\xi )}(t,x)\Phi _{(\xi )}(x)\), so that \(W_{(\xi )}+W_{(\xi )}^{(c)}\) becomes divergence free. Their spatial support is then contained in some cylinders of radius \(\frac{r _\parallel +r_\perp }{n_*r_\perp \lambda }\) and axis being the line passing through \((-\mu t, \alpha _\xi \cdot A_\xi , \alpha _\xi \cdot (\xi \times A_\xi ))^T\) with direction \(\xi \). More precisely, one has
at each time \(t\in \mathbb {R}\). So by possibly shifting \(\alpha _{\xi ^\prime }\) in direction of \(A_\xi , \xi \times A_\xi \), Lemma A.1 guarantees that their supports are still disjoint for all distinct \(\xi ,\, \xi ^\prime \in \Lambda \). As a consequence of the orthogonal directions of oscillations for the functions defined in (3.10), we may deduce
Lemma 3.4
The building blocks \(\psi _{(\xi )}\) and \(\phi _{(\xi )}\) obey
for each \(n,m,N \in \mathbb {N}_0\), \(p \in [1,\infty )\) and all multi-indices \(\alpha ,\beta \in \mathbb {N}_0^3\).
as well as the following fundamental bounds (cf. [5], p. 57).
Lemma 3.5
For any \(N,M \in \mathbb {N}_0 \) and \(p \in [1,\infty ]\), it holds
where the implicit constants merely depend on \(M,\, N\) and p.
In the special case, \(N=M=0,\, p=2\) Lemma 3.4 and the normalizations in (3.9) even entail \(\Vert W_{(\xi )}\,\Vert _{CL^2}=1\).
Based on this, we are now able to define the principal part
the temporal corrector
which will provide a better handling of the oscillation error later on, and the incompressibility corrector
whose purpose is to ensure that \(w_{q+1}^{(p)}+w_{q+1}^{(c)}\) is divergence free and to have zero mean. In fact, the expression
can be easily verified by a direct computation, so that \(w_{q+1}^{(p)}+w_{q+1}^{(c)}\) is obviously divergence free and since \(a_{(\xi )}V_{(\xi )}\) is a smooth function with periodic boundary conditions, it has additionally zero mean. Notably, these properties carry over to the total perturbation
and we may bound each part of it as follows.
Lemma 3.6
At any time \(t \in (-\infty ,\tau ]\), each component of the perturbation \(w_{q+1}\) can be estimated
-
(a)
in \(C_tL^p\) for any \(p \in (1,\infty )\) as
$$\begin{aligned}&\Vert w_{q+1}^{(p)}\Vert _{C_tL^p}\lesssim \frac{M}{4|\Lambda |} \ell ^{-8} \delta _{q+1}^{1/2} m \bar{e}^{1/2} r_\perp ^{2/p-1}r_\parallel ^{1/p-1/2}, \end{aligned}$$(3.15a)$$\begin{aligned} ATA[&\Vert w_{q+1}^{(c)}\Vert _{C_tL^p}\lesssim \frac{M}{4|\Lambda |} \ell ^{-22} \delta _{q+1}^{1/2}m\bar{e}^{1/2} r_\perp ^{2/p} r_\parallel ^{1/p-3/2}, \end{aligned}$$(3.15b)$$\begin{aligned}&\Vert w_{q+1}^{(t)}\Vert _{C_tL^p}\lesssim \left( \frac{M}{4|\Lambda |}\right) ^2\ell ^{-16}\delta _{q+1}m^2\bar{e} r_\perp ^{2/p-1}r_\parallel ^{1/p-2} \lambda _{q+1}^{-1}. \end{aligned}$$(3.15c)In the specific case \(p=2\), the principal part admits the stronger bound
$$\begin{aligned} \Vert w_{q+1}^{(p)}\Vert _{C_tL^2}\lesssim \frac{M}{4|\Lambda |} \delta _{q+1}^{1/2}m\bar{e}^{1/2} .\end{aligned}$$(3.15d) -
(b)
in \(C_{t,x}^1\) as
$$\begin{aligned}&\Vert w_{q+1}^{(p)}\Vert _{C_{t,x}^1}\lesssim \frac{M}{4|\Lambda |} \ell ^{-16}\delta _{q+1}^{1/2}m\bar{e}^{1/2}r_\perp ^{-1}r_\parallel ^{-1/2}\lambda _{q+1}^2, \end{aligned}$$(3.16a)$$\begin{aligned}&\Vert w_{q+1}^{(c)}\Vert _{C_{t,x}^1}\lesssim \frac{M}{4|\Lambda |} \ell ^{-30} \delta _{q+1}^{1/2}m\bar{e}^{1/2} r_\parallel ^{-3/2}\lambda _{q+1}^2, \end{aligned}$$(3.16b)$$\begin{aligned}&\Vert w_{q+1}^{(t)}\Vert _{C_{t,x}^1}\lesssim \bigg (\frac{M}{4 |\Lambda |}\bigg )^2 \ell ^{-30}\delta _{q+1}m^2\bar{e}r_\perp ^{-1}r_\parallel ^{-2} \lambda _{q+1}^2. \end{aligned}$$(3.16c) -
(c)
in \(C_tW^{1,p}\) for any \(p\in (1,\infty )\) as
$$\begin{aligned} \Vert w_{q+1}^{(p)}+w_{q+1}^{(c)}\Vert _{C_tW^{1,p}}&\lesssim \frac{M}{4|\Lambda |} \ell ^{-29}\delta _{q+1}^{1/2} m\bar{e}^{1/2} r_\perp ^{2/p-1}r_\parallel ^{1/p-1/2}\lambda _{q+1}, \end{aligned}$$(3.17a)$$\begin{aligned} \Vert w_{q+1}^{(t)}\Vert _{C_tW^{1,p}}&\lesssim \left( \frac{M}{4|\Lambda |}\right) ^2 \ell ^{-23}\delta _{q+1}m^2\bar{e} r_\perp ^{2/p-1} r_\parallel ^{1/p-2}. \end{aligned}$$(3.17b)
The proof is postponed to Sect. 3.4.1.
It is worth mentioning that the factor \(\Theta _\ell ^{-1/2}\) in the principal part \(w_{q+1}^{(p)}\) of the perturbation is needed to establish (3.31), which in turn is essential to deduce a handy expression of the oscillation error (3.43). We also define the incompressibility corrector \(w_{q+1}^{(c)}\) with the factor \(\Theta _\ell ^{-1/2}\) ahead, in order to guarantee (3.14), whereas the temporal corrector \(w_{q+1}^{(t)}\) does not contain it.
3.4 Inductive estimates for \(v_{q+1}\)
So far we have developed a sequence \(\left( v_q\right) _{q \in \mathbb {N}_0}\), solving (3.2) on the level \(q \in \mathbb {N}_0\) and with the corresponding Reynolds stress constructed below, also on the level \(q+1\). As we will see in Sect. 3.4.4, this sequence converges in \(C\left( (-\infty ,\tau ];L^2\left( \mathbb {T}^3\right) \right) \), so that the limit function will be our desired weak solution to (1.2) on \([0,\tau ]\). However, let us take one step after the other. We start by aiming \(\left( v_q\right) _{q \in \mathbb {N}_0}\) to admit the bounds (3.3a) and (3.3b) on the level \(q+1\).
3.4.1 Preparations
For this purpose, we need to control the amplitude functions and intermittent jets, so that we go back to Lemmas 3.3, and 3.6. The key ingredient of the proof of Lemma 3.3 is the ensuing result from [2], p. 163, where we set \(D_t^\alpha :=\partial ^{\alpha _1}_{x_1}\ldots \partial ^{\alpha _n}_{x_n} \partial _t^{\alpha _{n+1}}\) for all multi-indices \(\alpha =(\alpha _1,\ldots ,\alpha _{n+1})\in \mathbb {N}_0^{n+1}\).
Proposition 3.7
For any \(k \in \mathbb {N}\), the composition of \(f \in C^\infty \left( {{\,\textrm{Im}\,}}(u); \mathbb {R} \right) \) and \(u \in C^\infty \left( \mathbb {R}\times \mathbb {R}^n; \mathbb {R}^N\right) \) can be estimated as
Proof of Lemma 3.3
(3.8a): Keeping in mind that \(\alpha>4\beta b^2>\frac{4}{3} \beta \) and \(\bar{e}> 4\) imply
and taking (3.7), (3.3c), \(\eta _q \ge 0\) and (3.5) into account lead to
(3.8b): To estimate the \(C_{t,x}^N\)-norm of \(a_{(\xi )}\), we make use of Leibniz’s rule
Let us proceed with a bound for \(\big \Vert \rho ^{1/2}\big \Vert _{C_{t,x}^k}\). We will verify
For this purpose, we need
\(\square \)
Proof
Owing to the embedding \(W^{4,1}\subseteq L^\infty \) (cf. [15], p. 284, Theorem 6), Fubini’s theorem and (3.3c), we may deduce
\(\square \)
to derive
Proof
Combining (3.18), (3.20) and \(\eta _q\ge 0\) with (3.5) results in
For \(k>0\), we introduce the smooth function
satisfying
Keeping (3.20) and (3.1b) in mind, Proposition 3.7 teaches us
Moreover, we use Leibniz’s rule together with the fact \(\eta _q \ge 0\) and (3.5) to calculate
As a result of these three bounds
\(\square \)
In order to find a bound for \(\Vert \rho ^{1/2}\Vert _{C_{t,x}^k}\), we intend to make use of Proposition 3.7 again. This time, however, applied to the function
and \(\rho \). Taking into account that \(\rho \ge \ell \) entails \(|\widetilde{f}^{(k)}(z)|\lesssim |z|^{1/2-k}\lesssim \ell ^{1/2-k}\), we deduce from (3.21) and (3.1b) that
holds, provided \(k>0\). As a consequence and accordingly (3.21)
Let us now have a closer look at \(\Big \Vert \gamma _\xi \left( {{\,\textrm{Id}\,}}- \frac{\mathring{R}_\ell }{\rho }\right) \Big \Vert _{C_{t,x}^{N-k}}\). Our aim is to verify
The case \(k=N\) is trivial, whereas Proposition 3.7 and (3.7) again imply
and we assert
Proof
Thanks to Leibniz’s formula
Applying Proposition 3.7 to the functions
and \(\rho \) yields according to (3.21) and (3.1b)
Consequently,
The penultimate step additionally follows from (3.20) and \(\rho \ge \ell \), whereas the last step also holds due to (3.1b). \(\square \)
If \(k=N-1\), we obtain a stronger bound
Proof
Remembering that \(\rho \ge \ell \) and \(\rho \ge \Vert \mathring{R}_\ell \Vert _F \) holds and taking (3.20), (3.21) and (3.1b) into account, we compute
As a result
Altogether we therefore bound (3.8b) as
provided \(N>0\). However, the final bound is due to (3.7) and (3.19) even valid for \(N=0\). The proof of Lemma 3.3 is therefore complete. \(\square \)
Proof of Lemma 3.6
(3.15a): follows readily from (3.8b) and (3.13c).
(3.15b): Thanks to (3.8b) and (3.13c) again, we obtain
(3.15c): Remembering that \(\mathbb {P}\mathbb {P}_{\ne 0}\) is bounded on \(L^p\) and keeping (3.12), (3.8b), (3.13a) and (3.13b) in mind, we may compute
(3.15d): Moreover, if \(p=2\), we obtain according to (3.8a) and (3.8b)
for all \(j\ge 0\). Choosing \(N\in \mathbb {N}\) in such a way that \(N \ge \frac{60\ln (\ell )-\ln (16)-12}{\ln (12\pi )+3-\ln (n_*r_\perp \lambda _{q+1})-15 \ln (\ell )}\) holds, ensures
whereas \(a\ge 3600,\, b\ge 7,\, 161\alpha <\frac{1}{7 }\) and (3.1b) imply
Here, we need in particular that \(a\ge 3600\). Alternatively one could also chose a smaller a, but then we have to increase \(b\in 7\mathbb {N}\).
So all requirements of Lemma 3.7 from [6], recalled in “Appendix A,” A.2, are satisfied. Invoking additionally (3.13c) entails
b)(3.16a): follows from (3.8b), (3.13c) and
Namely,
(3.16b): We will estimate each involved term of
by using (3.8b) and (3.13c) in order of their appearance.
Firstly, by using the Levi-Civita symbol,
secondly
and thirdly
verifying the claim.
(3.16c): Let \(E_{n,\beta }\partial ^n_t D^\beta w_{q+1}^{(t)}\) for any \(n\in \mathbb {N}_0,\, \beta \in \mathbb {N}_0^3\) be the canonical extension of \(\partial _t^n D^\beta w_{q+1}^{(t)}\) to \(\mathbb {R}^3\), meaning that \(E_{n,\beta }:W^{1,p}\left( \mathbb {T}^3 \right) \rightarrow W^{1,p}\left( \mathbb {R}^3 \right) \) denotes a linear bounded operator with \({E_{n,\beta }\partial _t^n D^\beta w_{q+1}^{(t)}}_{|\mathbb {T}^3}=\partial _t^nD^\beta w_{q+1}^{(t)}\) \(\mathcal {P}\)-almost everywhere (see [15], p. 268, Theorem 1 for instance). It then holds according to Morrey’s inequality (see [15], p. 280, Theorem 4)
for any \(p \in \big (3, \infty \big )\) and \(\gamma :=1-\frac{3}{p}\).
Note that \(x\mapsto (a_{(\xi )}^2\psi _{(\xi )}^2\phi _{(\xi )}^2 \xi )(x)\) and \(x\mapsto \partial _t(a_{(\xi )}^2\psi _{(\xi )}^2\phi _{(\xi )}^2 \xi )(x)\) are as smooth functions on \(\mathbb {T}^3\) bounded, so that they are particularly dominated by some integrable constant function. This allows us to compute
which implies together with Lemma 2.1
and
for each \(i=1,2,3\). Taking into account that the Leray projection is bounded on \(W_{\ne 0}^{1,p}\left( \mathbb {T}^3\right) \) and the projection onto zero mean functions \(\mathbb {P}_{\ne 0}\) is a bounded operator on \(W^{1,p}\left( \mathbb {T}^3\right) \), the above expression amounts to
Employing the formula
which holds for all functions \(f_n \in W^{1,p}\left( \mathbb {T}^3\right) \cap L^\infty \left( \mathbb {T}^3\right) ,\,n=1,\ldots ,N,\, N\ge 2\), permits to deduce
Due to the embedding \(W^{1,\infty }\left( \mathbb {T}^3\right) \subseteq W^{1,p}\left( \mathbb {T}^3\right) \) and by invoking (3.8b), (3.13a), (3.13b), we obtain
In the same manner, we estimate
and
Therefore, we conclude
(3.17a): In view of (3.14), (3.8b) and (3.13c), we infer again with help of Levi-Civita’s symbol
(3.17b): Bearing in mind that \(\mathbb {P}\) and \(\mathbb {P}_{\ne 0}\) are both bounded operators on \(W_{\ne 0}^{1,p}\left( \mathbb {T}^3\right) \) and \(W^{1,p}\left( \mathbb {T}^3\right) \), respectively, we make use of Lemma 3.4 in order to obtain
Since Cauchy–Schwarz inequality implies
and
respectively, we appeal to (3.8b), (3.13a) and (3.13b) to conclude
\(\square \)
3.4.2 Verifying the key bounds on the level \(q+1\)
With these preparations in hands, we are now able to justify (3.3a) and (3.3b) on the level \(q+1\).
3.4.3 First Key Bound (3.3a)
By (3.15d), (3.15b), (3.15c) and (3.1b), we find
for some constant \(C>\frac{4|\Lambda |}{3M}\). In order to absorb the subsequent implicit constants, we chose
Recalling the requirements \(\frac{M}{4|\Lambda |}\lambda _{q+1}^{33\alpha -1/7}\le 1\) and \(161\alpha <\frac{1}{7},\, a\ge 3600,\, b\ge 7\), ensuring \(\lambda _{q+1}^{44\alpha -2/7}\le 1\), permits to achieve
which combined with (3.6b) actually confirms
3.4.4 Second Key Bound (3.3b)
In the same manner as above, (3.16a), (3.16b), (3.16c), (3.1b), the fact \(161 \alpha <\frac{1}{7}\), (3.6c) and (3.3b) furnish the existence of some constants \(K, \widetilde{K}>0\), so that
and
respectively. As pointed out in Sect. 3.1, we increase a and b in a fashion that \(K\frac{M}{4|\Lambda |} \lambda _{q+1}^{-12/7}+K\frac{M}{4|\Lambda |}\lambda ^{-2}_{q+1}+K\left( \frac{M}{4|\Lambda |}\right) ^2 \lambda _{q+1}^{-6/7} \le \frac{1}{2}\) as well as \(\widetilde{K}\lambda _q^5\lambda _{q+1}^{-5}\le \frac{1}{2}\). That means (3.3b) stays true on the level \(q+1\).
3.4.5 Control of the energy
It remains to affirm (3.5) at level \(q+1\), which is equivalent in showing
or expressed in terms of the function \(\eta _q\)
whenever \(t \in (-\infty , \tau ]\).
As we will see it is not enough to require only boundedness of the energy e here, rather it is necessary to ask for a uniform bound of its derivative \(e^\prime \). From a physical point of view, it means that the change of kinetic energy and therefore the acceleration of a fluid cannot become arbitrary large. For example, if we consider a river that flows uphill, the gravity will influence its flow rate, so that the gradient can only attend limited values.
Anyway, lets come back to the mathematical computations:
and we proceed with a bound for I.
![figure a](http://media.springernature.com/lw685/springer-static/image/art%3A10.1007%2Fs00028-023-00884-0/MediaObjects/28_2023_884_Figa_HTML.png)
For this purpose we first assert
Proof
Keeping in mind that the mutually disjoint supports of \(\left( W_{(\xi )}\,\right) _{\xi \in \Lambda }\) causes \(W_{(\xi )}\,\otimes W_{(\xi ^\prime )} \equiv 0\) for \(\xi \ne \xi ^\prime \), we invoke Lemma 3.4 to deduce
and appealing to the geometric Lemma 3.2 as well as to the normalizations (3.9), we find
\(\square \)
to deduce
yielding
We continue by proving
Proof
Using \(2\beta b< \frac{3 \alpha }{2}\), implied by the assumptions \(4 \beta b^2< \alpha \) and \(b \ge 7\), together with \(e(t)\ge \underline{e}> 4\) and \(\Theta ^{-2}(t)\ge m^{-1/2}\) and also \(\lambda _q>3600^7>\sqrt{120 }m^{3/4}\, (2\pi )^{3/2}\), we compute
\(\square \)
We further need
Proof
It follows immediately from Fubini’s theorem, the normalization of the mollifiers and (3.3c).
\(\square \)
Proof
Both terms of
will be estimated separately.
First, for any \(s\in (-\infty ,t]\) and \(u \in [0,\ell ]\) it holds
Hence,
where we exploited the normalization of \(\varphi \) in both steps again.
Estimating the second term of (3.35) follows by standard mollification estimates
Therefore, it holds owing to (3.3a), (3.3b), (3.4) and (3.1a)
In view of \(12(2\pi )^{3/2}M_0 \lambda _{q+1}^{-\alpha \big (\frac{3}{2}\iota -\frac{1}{2}\big )}m^2(\bar{e}+\widetilde{e})\le \frac{1}{20m^{1/2}} \le \frac{1}{80}\Theta ^{-2}(t) e(t)\) and \(\alpha >4\beta b\), yielding \(\lambda _{q+1}^{-\alpha /2}<\lambda _{q+1}^{-2\beta b}\le \delta _{q+2}\), we get the desired bound. and lastly
\(\square \)
Proof
Applying Green’s identity \(L>0\) times to the functions \(a_{(\xi )}^2\) and \(\Delta ^{-L}\mathbb {P}_{\ne 0} \)\(|W_{(\xi )}|^2\) furnishes
Thanks to Leibniz rule, we get
Moreover, Lemma 2.5, Cauchy–Schwarz’s inequality and Lemma 2.4 entail
Therefore, by stipulating \(L=5\), we conclude with help of (3.8b), (3.13c) and (3.1b)
Here, we used the fact \(174\alpha -\frac{2}{7}<-148\alpha <-147 \alpha -2\beta b\), which follows from the constraint \(161\alpha <\frac{1}{7}\) and \(2 \beta b<4\beta b^2<\alpha \), in the penultimate and we employed \(4 \le \underline{e}\le e(t)\) in the last step.
In order to absorb the implicit constant, we choose a, b sufficiently large and \(\alpha ,\beta \) sufficiently small enough. In other words, we have ascertained the existence of some \(\hat{K}>0\), so that
holds. Imposing \(\hat{K}\lambda _{q+1}^{-147\alpha }\le \frac{1}{80m^{3/4}}\) (cf. Sect. 3.1) yields the desired bound. \(\square \)
Armed with these statements, we are now able to bound I, i.e., taking (3.32), (3.33), (3.34) and (3.37) into account, we find
![figure b](http://media.springernature.com/lw685/springer-static/image/art%3A10.1007%2Fs00028-023-00884-0/MediaObjects/28_2023_884_Figb_HTML.png)
The second term can according to Cauchy–Schwarz’s inequality, (3.6a), (3.3b), (3.3a), (3.6b), (3.4) and (3.1a) be bounded as
Invoking the assumption \(6(2\pi )^{3/2}M_0\lambda _{q+1}^{-\alpha /2}m^2\bar{e}\le \frac{1}{5m^{1/2}}\) together with \(e(t)\ge \underline{e}\ge 4\), \( \Theta ^{-2}(t)\ge m^{-1/2}\) and \(\alpha >4\beta b^2\) permits to conclude
![figure c](http://media.springernature.com/lw685/springer-static/image/art%3A10.1007%2Fs00028-023-00884-0/MediaObjects/28_2023_884_Figc_HTML.png)
For the third term, we employ Hölder’s inequality with exponents \(r:=3\) and \(p:=\frac{3^{}}{2}\) and appeal to (3.3b), (3.15a), (3.1a) and (3.1b) to deduce
Furthermore, it follows from the assumption \(19\alpha -1/7<160\alpha -1/7<-\alpha \) and \(\alpha>4\beta b^2>2\beta b\) that
holds for some constant \(K^*>0\). Imposing \(K^*\, 2\pi \, \frac{M}{4|\Lambda |} \lambda _{q+1}^{-5/21} \le \frac{1}{5\,m^{1/2}}\) and remembering that \(e(t)\ge \underline{e}\ge 4\) and \( \Theta ^{-2}(t)\ge m^{-1/2}\), we find
![figure d](http://media.springernature.com/lw685/springer-static/image/art%3A10.1007%2Fs00028-023-00884-0/MediaObjects/28_2023_884_Figd_HTML.png)
Next, we aim at estimating IV also as \(\text {IV}\le \frac{1}{20} \delta _{q+2}\Theta ^{-2}(t)e(t)\). Namely, after applying Cauchy–Schwarz’s inequality, we use (3.6b), (3.15d), (3.15b), (3.15c) and (3.1b) to obtain
Due to \(46\alpha -\frac{1}{14}<-2\beta b\), entailing from \(160 \alpha - 1/7<-\alpha \) and \(\alpha >4\beta b^2\), it holds
for some constant \(K^\prime >0\). Similarly as above we achieve
by assuming \( K^\prime \left( M_0+\frac{M}{4|\Lambda |} \right) \left( \frac{M}{4|\Lambda |}+\left( \frac{M}{4|\Lambda |}\right) ^2\right) \lambda _{q+1}^{-\frac{1}{14}}\le \frac{1}{5\,m^{1/2}}\).
![figure e](http://media.springernature.com/lw685/springer-static/image/art%3A10.1007%2Fs00028-023-00884-0/MediaObjects/28_2023_884_Fige_HTML.png)
To bound the last term, we proceed similarly as in IV. Namely, thanks to (3.15b), (3.15c), (3.1b) and to the required \(160\alpha -1/7<-\alpha \) and \(\alpha >4\beta b^2\) it holds
Moreover, we already know about the existence of some \(K^{\prime \prime }>0\), such that
Choosing the parameters in such a way that \(K^{\prime \prime } \left( \left( \frac{M}{4|\Lambda |} \right) ^2+\left( \frac{M}{4|\Lambda |} \right) ^4\right) \lambda _{q+1}^{-1/7}\le \frac{1}{5m^{1/2}}\) leads together with \(e(t)\ge \underline{e}\ge 4\) and \(\Theta ^{-2}(t)\ge m^{-1/2}\) to
Finally, plugging all the above estimates from I through to V into (3.30) proves (3.5) on the level \(q+1\).
3.4.6 Convergence of the sequence
Moreover, we claim \(\left( v_q\right) _{q \in \mathbb {N}_0}\) to be a Cauchy sequences in \(C\left( (-\infty ,\tau ]; L^2\left( \mathbb {T}^3 \right) \right) \).
Thanks to (3.27) and (3.6a), we obtain
for any \(t \in (-\infty ,\tau ]\) and \(q \in \mathbb {N}_0\), which results together with \(a^{\beta b}\ge 2\) in
As a consequence, the sequence \(\left( \sum \limits _{q=0}^n \Vert v_{q+1}-v_q\Vert _{C_tL^2}\right) _{n\in \mathbb {N}_0}\) converges and is therefore in particular Cauchy in \(\mathbb {R}\), i.e., for each \(\varepsilon >0\) there exists some \(N\in \mathbb {N}_0\), such that
holds for every \(n\ge k\ge N\), verifying the claim.
3.5 Decomposition of the Reynolds stress \(\mathring{R}_{q+1}\)
In order to find an expression for the Reynolds error at level \(q+1\), we plug \(v_{q+1}\) into (3.2) and exploit the formula \({{\text {div}}}\big (A \big )= {{\text {div}}}\big (\mathring{A} \big )+\frac{1}{3} \nabla {{\text {tr}}}\big (A\big )\) together with \({{\,\textrm{tr}\,}}(a \otimes b)=a \cdot b \), which holds for arbitrary quadratic matrices A and vectors \(a,\, b\), respectively, to derive
where we have set \(p_\ell := p_q*_t \varphi _\ell *_x \phi _\ell \).
Keeping in mind that \({{\text {div}}}\big (a_{(\xi )}^2 \mathbb {P}_{\ne 0}\big ) \) \( (W_{(\xi )}\otimes W_{(\xi )})\big )\) has zero mean, since \(a_{(\xi )}^2 \mathbb {P}_{\ne 0} (W_{(\xi )}\otimes W_{(\xi )})\) is a smooth function with periodic boundary conditions, we invoke (3.31) to rewrite the oscillation error as
where
with \(y_1:=n_*r_\perp \lambda (x-\alpha _\xi )\cdot A_\xi \) and \(y_2:=n_*r_\perp \lambda (x-\alpha _\xi )\cdot (\xi \times A_\xi )\). The second step follows from the fact that \(\{\xi ,A_\xi ,\xi \times A_\xi \}\) form an orthonormal basis of \(\mathbb {R}^3\).
Therefore, (3.43) boils, thanks to (3.25), down to
and because of \({{\text {Id}}}- \mathbb {P}= \nabla \Delta ^{-1} {{\text {div}}}\) and Lemma 2.5 we may continue by writing
In order to find a specific representation of the stress terms \(R_{\text {lin}}\) and \(R_{\text {osc}}\), we need a right inverse of the divergence operator. We recall the one that emerged in [12], which acts on the space of smooth, \(\mathbb {R}^3\)-valued vector fields on \( \mathbb {T}^3\) with zero mean and which takes values in \(L^p\left( \mathbb {T}^3; \mathring{\mathbb {R}}_{\text {sym}}^{3\times 3}\right) \).
Lemma 3.8
The operator \(\mathcal {R}\) defined by
is a right inverse of the divergence operator and is particularly bounded for \(p \in (1,\infty )\).
We can moreover formulate the ensuing Lemma, which states that the composition of \(\mathcal {R}\) with the differential operators \(\Delta \), \({{\,\textrm{curl}\,}}\) and with the Fourier cutoff operator \(\mathbb {P}_{\ge \kappa /2}\) is bounded operators as well.
Lemma 3.9
The composition of operators
-
(i)
\(\mathcal {R}{{\,\textrm{curl}\,}}:\left( C^\infty \left( \mathbb {T}^3;\mathbb {R}^3\right) ,\Vert \cdot \Vert _{L^p}\right) \rightarrow \left( L^p\left( \mathbb {T}^3; \mathring{\mathbb {R}}_{\text {sym}}^{3\times 3}\right) , \Vert \cdot \Vert _{L^p}\right) , \)
-
(ii)
\(\mathcal {R}\Delta :\left( C^\infty \left( \mathbb {T}^3;\mathbb {R}^3\right) ,\Vert \cdot \Vert _{W^{1,p}}\right) \rightarrow \left( L^p\left( \mathbb {T}^3; \mathring{\mathbb {R}}_{\text {sym}}^{3\times 3}\right) , \Vert \cdot \Vert _{L^p}\right) , \)
-
(iii)
\(\mathcal {R}\mathbb {P}_{\ge \kappa }:\left( C^\infty \left( \mathbb {T}^3;\mathbb {R}^3\right) , \Vert \cdot \Vert _{L^p}\right) \rightarrow \left( L^p\left( \mathbb {T}^3; \mathring{\mathbb {R}}_{\text {sym}}^{3\times 3}\right) , \Vert \cdot \Vert _{L^p}\right) \)
are for \(p \in (1,\infty )\) continuous ones. More precisely, we find
Equipped with this knowledge, it makes sense to define
with the corresponding pressure terms
The Reynolds stress at level \(q+1\) then becomes
and remains by construction symmetric and traceless.
3.6 Inductive estimates for the Reynolds stress \(\mathring{R}_{q+1}\)
3.6.1 Verifying the key bound on the level \(q+1\)
Next, we aim at verifying (3.3c) on the level \(q+1\). To do so, we need \(r_\perp ^{2/p-2}r_{\parallel }^{1/p-1}\le \lambda _{q+1}^{\alpha }\), which can be achieved by taking \(p \in \Big (1,\frac{16}{16-7\alpha }\Big ]\). We start with a bound for the Linear error.
3.7 Linear Error
Remembering that \(\mathcal {R}\Delta \) and \(\mathcal {R}{{\,\textrm{curl}\,}}\) are according to Lemma 3.9 bounded operators on \(C^\infty \left( \mathbb {T}^3;\mathbb {R}^3\right) \), we employ Hölder’s inequality, (3.14) and (3.24) to obtain
![figure f](http://media.springernature.com/lw685/springer-static/image/art%3A10.1007%2Fs00028-023-00884-0/MediaObjects/28_2023_884_Figf_HTML.png)
We combine (3.8b) and (3.13c) and (3.1b) with \(r_\perp ^{2/p-2}r_\parallel ^{1/p-1}\le \lambda _{q+1}^\alpha \) to control the first term as follows
![figure g](http://media.springernature.com/lw685/springer-static/image/art%3A10.1007%2Fs00028-023-00884-0/MediaObjects/28_2023_884_Figg_HTML.png)
A bound for the second term can be deduced in the same manner:
![figure h](http://media.springernature.com/lw685/springer-static/image/art%3A10.1007%2Fs00028-023-00884-0/MediaObjects/28_2023_884_Figh_HTML.png)
Thanks again to the constrained \(r_\perp ^{2/p-2}r_\parallel ^{1/p-1}\le \lambda _{q+1}^\alpha \), the third term can owing to (3.17a), (3.17b) and (3.1b) be estimated as
![figure i](http://media.springernature.com/lw685/springer-static/image/art%3A10.1007%2Fs00028-023-00884-0/MediaObjects/28_2023_884_Figi_HTML.png)
Keeping in mind that
holds for any two vector fields v and w, the fourth term admits, according to (3.3b), (3.15a), (3.15b), (3.15c), (3.1a), (3.1b) and \(r_\perp ^{2/p-2}r_\parallel ^{1/p-1}\le \lambda _{q+1}^\alpha \), the inequality
Thus, remembering the assumptions \(161 \alpha <\frac{1}{7}\), \(\alpha >4 \beta b^2\), \(e(t)\ge \underline{e}>4\) and \(\Theta ^{-2}(t)\ge m^{-1/2}\) we can finally bound the linear error as
provided \(S\left( \frac{M}{4|\Lambda |}+\left( \frac{M}{4|\Lambda |}\right) ^2 \right) \lambda _{q+1}^{-100\alpha }\le \frac{1}{1500m^{1/2}}\) for some constant \(S>0\) (cf. Sect. 3.1).
3.7.1 Corrector Error
We apply (3.44) and Hölder’s inequality twice in order to obtain
Appealing to (3.15b), (3.15c), (3.15a), (3.1b) and \(r_\perp ^{2/p-2}r_\parallel ^{1/p-1}\le \lambda _{q+1}^{\alpha }\), it follows
and
That means there exists a constant \(\widetilde{S}>0\) such that
where we also took \(m^{1/4}\le \lambda _{q+1}^\alpha \) and \(161\alpha <\frac{1}{7}\) into account.
In view of our choice of parameters (cf. Sect. 3.1), it holds
so that together with \(\alpha >4\beta b^2\), \(e(t)\ge \underline{e}> 4\) and \(\Theta ^{-2}(t)\ge m^{-1/2}\) again, we accomplish
3.7.2 Oscillation Error
To control the first term of the oscillation error, we intend to apply Lemma A.3. Thanks to Leibniz’s formula, (3.8b) and (3.1b) we accomplish
for any \(n\ge 0\) and owing to the constraints \(161\alpha <\frac{1}{7}\), \(a\ge 3600\), \(b\ge 7\) and (3.1b) also
and
as long as \(\frac{3 \ln (2^{-1}\cdot 3600)}{\ln (2^{-1}\cdot 3600^{21/23})}<4 \le N\). Therefore, all requirements of Lemma A.3 are fulfilled and together with (3.1b), (3.44) and (3.13c) it teaches us
where we make again use of \(r_\perp ^{2/p-2}r_\parallel ^{1/p-1}\le \lambda _{q+1}^\alpha \) in the last step.
The second term of the oscillation error can according to the boundedness of \(\mathcal {R}\mathbb {P}_{\ne 0}\) on \(\left( C^\infty \left( \mathbb {T}^3; \mathbb {R}^3\right) ,\Vert \cdot \Vert _{L^p}\right) \), Lemma 3.4, (3.8b), (3.13a), (3.13b), (3.1b) and \(r_\perp ^{2/p-2}r_\parallel ^{1/p-1}\le \lambda _{q+1}^\alpha \) be estimated as
Under the assumptions \(161\alpha <\frac{1}{7}\) and \(\alpha >4\beta b^2\), we therefore get by Hölder’s inequality
for some \(\hat{S}>0\). To absorb this implicit universal constant, we impose \(\hat{S}\left( \frac{M}{4|\Lambda |}\right) ^2 \lambda _{q+1}^{-111 \alpha } \)\( \le \) \(\frac{1}{1500\,m^{1/2}}\) by possibly increasing a. Finally, \(e(t)\ge \underline{e}> 4\) and \(\Theta ^{-2}(t)\ge m^{-1/2}\) entail
3.7.3 Commutator Error
We will estimate each term of
separately.
![figure j](http://media.springernature.com/lw685/springer-static/image/art%3A10.1007%2Fs00028-023-00884-0/MediaObjects/28_2023_884_Figj_HTML.png)
To find a bound for \(\Vert \Theta - \Theta _\ell \Vert _{C_t}\), we proceed in a similar way as in (3.36) by using Itô’s formula. More precisely, we find
Together with (3.44), it furnishes
![figure k](http://media.springernature.com/lw685/springer-static/image/art%3A10.1007%2Fs00028-023-00884-0/MediaObjects/28_2023_884_Figk_HTML.png)
Keeping Cauchy–Schwarz’s inequality in mind, we combine (3.44) with (3.6a) and (3.6b) to find
Note that the final bound is also valid for IV.
![figure l](http://media.springernature.com/lw685/springer-static/image/art%3A10.1007%2Fs00028-023-00884-0/MediaObjects/28_2023_884_Figl_HTML.png)
Moreover, we invoke (3.48), (3.44) and (3.6b) to get
![figure m](http://media.springernature.com/lw685/springer-static/image/art%3A10.1007%2Fs00028-023-00884-0/MediaObjects/28_2023_884_Figm_HTML.png)
Thanks to the normalizations of mollifiers, we have
where \(V_1\) boils owing to (3.44) and Cauchy–Schwarz’s inequality down to
Here, (\(*\)) follows similarly to (3.36), this time, however, with e(s) replaced by \(v_q(s,x)\) and \(\bar{e}\), \(\widetilde{e}\) by \(\Vert v_q\Vert _{C_{t,x}^1}\).
One more time we employ (3.44) and stick to standard mollification estimates in order to control \(\hbox {V}_2\) as follows
Thence,
Plugging the above bounds into (3.47) and taking (3.3b), (3.3a), (3.4) and (3.1a) into account lead to
Finally, combining \(33 (2\pi )^{3/2}M_0 m^{9/4} \bar{e} \lambda _{q+1}^{-\frac{\alpha \iota }{2}} \le \frac{1}{1500 m^{1/2}}\) with \(\alpha \iota >4\beta b^2\), \(e(t)\ge \underline{e}>4\) and \(\Theta ^{-2}\ge m^{-1/2}\) permits to achieve
So altogether this proves (3.3c) at level \(q+1\).
3.7.4 Convergence of the sequence
Furthermore, note that it follows instantly from (3.3c) that \(\big (\mathring{R}_q \big )_{q \in \mathbb {N}_0}\) is a zero sequence in \(C\left( (-\infty ,\tau ]; L^1\left( \mathbb {T}^3\right) \right) \).
3.8 Adapted and deterministic
3.8.1 Adaptedness of the iterates
Now, we aim at proving the adaptedness of the next iteration step \((v_{q+1},\mathring{R}_{q+1})\). As already mentioned in Sect. 3.3.1, we emphasize again that the mollified velocity field \(v_\ell \) as well as \(\mathring{R}_\ell \) and \(\Theta _\ell \) remains \(\left( \mathcal {F}_t\right) _{t\in (-\infty , \tau ]}\)-adapted. Since the energy e is deterministic, the adaptedness of \(\eta _\ell \) follows in the same way as for \(v_\ell \).
These facts in turn yield the adaptedness of \(\rho \) and thus also of the amplitude functions \(a_{(\xi )}\) as composition of them.
Furthermore, note that the building blocks \(\phi ,\, \Phi \) and \(\psi \) of the intermittent jets do not depend on \(\omega \), so consequently \(V_{(\xi )},\, W^{(c)}_{(\xi )}\) and the intermittent jets themselves are deterministic as well. Taking additionally into account that any partial derivative of \(a_{(\xi )}\) in space remains \(\left( \mathcal {F}_t\right) _{t \in (-\infty , \tau ]}\)-adapted, establishes the adaptedness of \(w_{q+1}^{(p)}\) and \(w_{q+1}^{(c)}\). Moreover, the Leray projection \(\mathbb {P}\) and obviously also the projection \(\mathbb {P}_{\ne 0}\) onto functions with zero mean preserve adaptedness, which confirms the adaptedness of the temporal corrector \(w_{q+1}^{(t)}\).
To summarize our above considerations, we have proven that \(v_\ell \) and the total perturbation \(w_{q+1}=w_{q+1}^{(p)}+w_{q+1}^{(c)}+w_{q+1}^{(t)}\) are, at any time \(t \in (-\infty , \tau ]\), \(\mathcal {F}_t\)-measurable, which finally verifies the adaptedness of \(v_{q+1}=v_\ell +w_{q+1}\) and \(\mathring{R}_{q+1}\).
3.8.2 Deterministic initial values
We will use an induction argument to verify that the constructed sequence \(\big (v_q(t,x),\mathring{R}_q(t,x)\big )_{q\in \mathbb {N}_0}\) is deterministic for each \(t\le 0\) and \(x \in \mathbb {T}^3\).
Obviously, the starting point \(\big (v_0,\mathring{R}_0 \big )=(0,0)\) does not depend on \(\omega \) at any time.
So assuming \(v_q(t,x)\) for all \(t\le 0\) and \(x \in \mathbb {T}^3\) to be deterministic, it can be easily seen that
\(\mathring{R}_\ell (t,x)\) and \(\Theta _\ell (t)\) are deterministic as well. Combined with the fact, that \(\eta _q(t,\cdot )\) is deterministic, \(\rho (t,\cdot )\) and hence \(a_{(\xi )}(t,\cdot )\) does not depend on \(\omega \) either. Based on this, we are able to conclude that each part of the total perturbation \(w_{q+1}(t,\cdot )\) is deterministic, that is to say \(w_{q+1}^{(p)},\, w_{q+1}^{(c)}\) and \(w_{q+1}^{(t)}\) do not depend on \(\omega \) at each time up to time 0. The functions \(\phi ,\,\Phi \) and \(\psi \) and hence the intermittent jets \(W_{(\xi )}\) as well as its incompressibility corrector \(W^{(c)}_{(\xi )}\) and \(V_{(\xi )}\) are by definition deterministic.
On the one hand, this together with the independence of \(v_\ell (t,\cdot )\) of \(\omega \) results in the deterministic behavior of \(v_{q+1}\) at time \(t\le 0\). On the other hand, it also follows that \(\mathring{R}_\text {lin}(t,\cdot )\), \(\mathring{R}_\text {cor}(t,\cdot )\), \(\mathring{R}_\text {osc}(t,\cdot )\), \(\mathring{R}_\text {com}(t,\cdot )\) and thereby \(\mathring{R}_{q+1}(t,\cdot )\) are deterministic as well, yielding the assertion.
4 End of the proof of Theorem 1.1
Summarizing our previous results, we formulate the following Proposition.
Proposition 4.1
(Main iteration) For an \((\mathcal {F}_t)_{t\in (-\infty ,\tau ]}\)-adapted solution \(\big (v_q,\mathring{R}_q\big )\) to (3.2) on \((-\infty ,\tau ]\times \mathbb {T}^3\times \Omega \), which admits the bounds in (3.3) and (3.5) for some \(q\in \mathbb {N}_0\), an \(\left( \mathcal {F}_t\right) _{t \in (-\infty ,\tau ]}\)-adapted process \(\big (v_{q+1},\mathring{R}_{q+1}\big )\) can be constructed, so that this pair also solves (3.2) on \((-\infty ,\tau ]\times \mathbb {T}^3\times \Omega \) and obeys (3.3) and (3.5) at level \(q+1\). Moreover, the sequences \(\left( v_q\right) _{q\in \mathbb {N}_0}\) and \(\big (\mathring{R}_q\big )_{q\in \mathbb {N}_0}\) are Cauchy in \(C\left( (-\infty ,\tau ];L^2\left( \mathbb {T}^3 \right) \right) \) and \(C\left( (-\infty ,\tau ];L^1\left( \mathbb {T}^3 \right) \right) \), respectively; more precisely, \(\big (\mathring{R}_q\big )_{q\in \mathbb {N}_0}\) converges to zero and (3.42) holds.
Additionally, \(v_q(t,x)\) and \(\mathring{R}_q(t,x)\) are deterministic for all \(t\le 0,\, x \in \mathbb {T}^3\) and \(q\in \mathbb {N}_0\).
Now, we have everything in hand to finish the proof of 1.2.
Proof of Theorem 1.2
Existence:
According to Proposition 4.1, there exists a sequence \(\big (v_q,\mathring{R}_q \big )_{q\in \mathbb {N}_0}\), so that \(\big (v_q(t), \)\( \mathring{R}_q(t) \big )\) is for every \(q\in \mathbb {N}_0 \) and \(t\le 0\) deterministic and so that \(\big (v_q, \mathring{R}_q \big )\) solves (3.2) on \((-\infty ,\tau ]\times \mathbb {T}^3\times \Omega \) in the weak sense. That means for any divergence-free test function \(\varphi \in C^\infty \left( \mathbb {T}^3;\mathbb { R}^3\right) \) the pair \(\big (v_q,\mathring{R}_q \big )\) satisfies
in particular for every \(t\in [0,\tau ]\), where the fifth term vanishes due to the fact that we work with solenoidal test functions.
Moreover, the sequence can be chosen in such a way that \(\big (\mathring{R}_q\big )_{q \in \mathbb {N}_0}\) converges to zero in \(C\left( (-\infty ,\tau ];L^1\left( \mathbb {T}^3\right) \right) \) and such that \((v_q)_{q\in \mathbb {N}_0}\) is Cauchy in the Banach space \(C\left( (-\infty ,\tau ];L^2\left( \mathbb {T}^3\right) \right) \). Integration by parts and Cauchy–Schwarz’s inequality permits therefore to deduce
![figure n](http://media.springernature.com/lw685/springer-static/image/art%3A10.1007%2Fs00028-023-00884-0/MediaObjects/28_2023_884_Fign_HTML.png)
Furthermore, we may assume the existence of a limit \(\lim \limits _{q \rightarrow \infty }v_q=:v \in C\left( (-\infty ,\tau ];L^2\right. \)\(\left. \left( \mathbb {T}^3\right) \right) \), which causes that each term on the left-hand side of (4.1) will converge for \(q \rightarrow \infty \) \(\mathcal {P}\)-a.s.. In fact integrating by parts again and Cauchy–Schwartz’s inequality furnish
![figure o](http://media.springernature.com/lw685/springer-static/image/art%3A10.1007%2Fs00028-023-00884-0/MediaObjects/28_2023_884_Figo_HTML.png)
![figure p](http://media.springernature.com/lw685/springer-static/image/art%3A10.1007%2Fs00028-023-00884-0/MediaObjects/28_2023_884_Figp_HTML.png)
![figure q](http://media.springernature.com/lw685/springer-static/image/art%3A10.1007%2Fs00028-023-00884-0/MediaObjects/28_2023_884_Figq_HTML.png)
and by virtue of Cauchy–Schwartz’s inequality and (3.44) also
![figure r](http://media.springernature.com/lw685/springer-static/image/art%3A10.1007%2Fs00028-023-00884-0/MediaObjects/28_2023_884_Figr_HTML.png)
So passing to the limit on both sides of (4.1) shows that v is an analytically weak solution to (1.2) with deterministic initial condition. Therefore, \(u:=e^Bv\) solves (1.1) on \([0,\tau ]\) in the probabilistically strong and analytically weak sense, of course also with a deterministic initial condition \(u_0\).
Regularity:
It remains to verify that the convergence of \((v_q)_{q\in \mathbb {N}_0}\) to v even takes place in \( C\left( (-\infty ,\tau ];H^\gamma \left( \mathbb {T}^3\right) \right) \). For this end, we combine Hölder’s inequality with exponents \(\frac{1}{\gamma }\) and \(\frac{1}{1-\gamma }\) with Plancherel’s theorem to accomplish
for any \(t \in (-\infty ,\tau ]\). Invoking (3.3b) and (3.42) then yields
So if we impose \(\gamma \in \Big (0, \frac{\beta }{5+\beta } \Big )\), the above series will converge as it can be bounded by a geometric series. Thus, the sequence \(\left( \sum \limits _{q\ge 0}^n \Vert v_{q+1}-v_q\Vert _{C_tH^\gamma }\right) _{n\in \mathbb {N}_0}\) is as a convergent sequence particularly Cauchy in \(\mathbb {R}\), which means that for all \(\varepsilon >0\) there exists some \(N\in \mathbb {N}_0\) so that
holds for every \(n\ge k\ge N\). In other words, \(\left( v_q\right) _{q \in \mathbb {N}_0}\) is also a Cauchy sequence in the Banach space \(C\left( (-\infty ,\tau ];H^\gamma \left( \mathbb {T}^3\right) \right) \) for \(\gamma \in \Big (0, \frac{\beta }{5+\beta } \Big )\), furnishing the existence of the limit in \(C\left( (-\infty ,\tau ];H^\gamma \left( \mathbb {T}^3\right) \right) \), which equals, by virtue of the uniqueness of the limit, v.
Bounded:
Furthermore, it follows
for any \(\varepsilon >0\), sufficiently large \(q\ge 0\) and every \(t \in [0,\tau ]\) and \(\omega \in \Omega \). Note that the constant on the right-hand side neither depends on t nor on \(\omega \).
Kinetic Energy:
Moreover, remembering that \(\left( v_q\right) _{q \in \mathbb {N}_0}\) is a Cauchy sequence in \(C\big ( (-\infty ,\tau ];\)\( L^2\left( \mathbb {T}^3\right) \big )\), we may deduce
from (3.5).
Consistency:
Let \(e_1\) and \(e_2\) be two energies in \(C_b^1\left( (-\infty ,1];[\underline{e},\infty ) \right) \) respecting
and \(e_i(t)=e_i(0)\) for every \(t\le 0\) and \(i=1,2\), which coincide on [0, t] for some \(t \in [0,1]\) and let \(\left( v^1_q\right) _{q \in \mathbb {N}_0}\), \(\left( v^2_q\right) _{q \in \mathbb {N}_0}\) be the corresponding sequences, constructed in Proposition 4.1. Then for each \(q \in \mathbb {N}_0\) and \(i=1,2\), \(v^i_{q+1}\) consists of the previous, mollified iteration \(v_\ell ^i:=v_q^i*_t\varphi _\ell *_x \phi _\ell \) and the perturbation \(w_{q+1}^i\). If we decompose the perturbations \(w_{q+1}^1\) and \(w_{q+1}^2\) in a way that is presented in Fig. 1, one can see that they coincide on \((-\infty ,t \wedge \tau ]\), if \(\mathring{R}_\ell ^1\) and \(\mathring{R}_\ell ^2\) and also \(\eta _\ell ^1\) and \(\eta _\ell ^2\) do. The functions \(\phi ,\, \Phi \) and \(\psi \) can be chosen for both sequences in the same way.
Taking into account that \(e_1=e_2\) on \((-\infty ,t]\) together with \(v_q^1=v_q^2\) on \((-\infty ,t \wedge \tau ]\) implies \(\eta _q^1=\eta _q^2\) on \((-\infty ,t \wedge \tau ]\), it indeed holds
for all \(s\in (-\infty , t\wedge \tau ]\), \(x \in \mathbb {T}^3\) and \(\omega \in \Omega \).
In the same manner, we deduce \(v_\ell ^1(s)=v_\ell ^2(s)\) and \(\mathring{R}_\ell ^1(s)=\mathring{R}_\ell ^2(s)\), furnishing \(v_{q+1}^1(s)=v_{q+1}^2(s)\) and thus also \(\mathring{R}_{q+1}^1(s)=\mathring{R}_{q+1}^2(s)\) at any time \(s\in (-\infty , t\wedge \tau ]\). That means by induction we have ascertained that the sequences \(\left( v^1_q\right) _{q \in \mathbb {N}_0}\) and \(\left( v^2_q\right) _{q \in \mathbb {N}_0}\) are the same on \((-\infty , t\wedge \tau ]\); hence so are their limits
As a consequence, the solutions \(u_1:=e^Bv^1\) and \(u_2:=e^Bv^2\) to (1.1) on \([0,\tau ]\), associated with the energies \(e_1\) and \(e_2\), respectively, coincide on \([0, t\wedge \tau ]\), completing the proof of 1.2. \(\square \)
Data Availability Statement
Data sharing is not applicable to this article as no datasets were generated or analyzed during the current study.
References
A.A. Aleksandrov, M.S. Takhtengerts, Viscosity of water at temperatures of \(-20\) to \(150^\circ \)C, Journal of Engineering Physics and Thermophysics 27, 1235-1239, https://doi.org/10.1007/BF00864022, 1974.
T. Buckmaster, C. De Lellis, P. Isett, and L. Székelyhidi Jr., Anomalous dissipation for 1/5-Hölder Euler flows, Annals of Mathematics 182(1), 127-172, https://doi.org/10.4007/annals.2015.182.1.3, 2015.
T. Buckmaster, C. De Lellis, L. Székelyhidi Jr., V. Vicol, Onsager’s conjecture for admissible weak solutions, Pure and Applied Mathematics 72(2) 229-274, https://doi.org/10.1002/cpa.21781, 2018.
D. Breit, E. Feireisl, M. Hofmanová, On solvability and ill-posedness of the compressible Euler system subject to stochastic forces, Analysis & PDE 13(2) 371-402, https://doi.org/10.2140/apde.2020.13.371, 2020.
T. Buckmaster, V. Vicol, Convex integration and phenomenologies in turbulence, EMS Surveys in Mathematical Sciences 6(1), 173-263, https://doi.org/10.4171/EMSS/34, 2019.
T. Buckmaster, V. Vicol, Nonuniqueness of weak solutions to the Navier-Stokes equation, Annals of Mathematics 189(1) 101-144, https://doi.org/10.4007/annals.2019.189.1.3, 2019.
J. Burczak, S. Modena, L. Székelyhidi Jr., Non uniqueness of power-law flows, Communications in Mathematical Physics 388, 199-243, https://doi.org/10.1007/s00220-021-04231-7, 2021.
W. Chen, Z. Dong, X. Zhu, Sharp non-uniqueness of solutions to stochastic Navier-Stokes equations, arXiv:2208.08321, 2022.
A. Cherny, On the Uniqueness in Law and the Pathwise Uniqueness for Stochastic Differential Equations, Theory of Probability & Its Applications 46(3), 406-419, https://doi.org/10.1137/S0040585X97979093, 2002.
C. De Lellis, L. Székelyhidi Jr., The Euler equations as a differential inclusion, Annals of Mathematics 170(3), 1417-36, 2009 https://www.jstor.org/stable/25662181
C. De Lellis, L. Székelyhidi Jr., On admissibility criteria for weak solutions of the Euler equations, Archive for Rational Mechanics and Analysis 195, 225-260, https://doi.org/10.1007/s00205-008-0201-x, 2010.
C. De Lellis, L. Székelyhidi Jr., Dissipative continuous Euler flows, Inventiones mathematicae 193, 377-407, https://doi.org/10.1007/s00222-012-0429-9, 2013.
E. Di Nezza, G. Palatucci, E. Valdinoci, Hitchhiker’s guide to the fractional Sobolev spaces, Bulletin des Sciences Mathématiques 136(5) 521-573, https://doi.org/10.1016/j.bulsci.2011.12.004, 2012.
S. Daneri, L. Székelyhidi Jr., Non-uniqueness and h-Principle for Hölder-Continuous Weak Solutions of the Euler Equations, Archive for Rational Mechanics and Analysis 224, 471-514, https://doi.org/10.1007/s00205-017-1081-8, 2017.
L.C. Evans, Partial differential equations, vol. 19 in Graduate Studies in Mathematics, American Mathematical Society, Providence, 2nd ed., 2010.
F. Flandoli, M. Hofmanová, D. Luo, T. Nilssen, Global well-posedness of the \(3\)D Navier-Stokes equations perturbed by a deterministic vector field, The Annals of Applied Probability 32(4), 2568-2586, https://doi.org/10.1214/21-AAP1740, 2022.
F. Flandoli, D. Luo, High mode transport noise improves vorticity blow-up control in \(3\)D Navier-Stokes equations, Probability Theory and Related Field 180, 309-363, https://doi.org/10.1016/S1385-7258(55)50093-X, 2021.
M. Hofmanová, T. Lange, U. Pappalettera, Global existence and non-uniqueness of \(3\)D Euler equations perturbed by transport noise, arXiv:2212.12217, 2022.
M. Hofmanová, R. Zhu, X. Zhu, Non-uniqueness in law of stochastic \(3\)D Navier-Stokes equations, arXiv:1912.11841, 2019.
M. Hofmanová, R. Zhu, X. Zhu, Global existence and non-uniqueness for \(3\)D Navier-Stokes equations with space-time white noise. arXiv:2112.14093, 2021.
M. Hofmanová, R. Zhu, X. Zhu, On ill- and well-posedness of dissipative martingale solutions to stochastic \(3\)D Euler Equations, Pure and Applied Mathematics 75(11), 2446-2510, https://doi.org/10.1002/cpa.22023, 2021.
M. Hofmanová, R. Zhu, X. Zhu, Non-unique ergodicity for deterministic and stochastic \(3\)D Navier-Stokes and Euler equations, arXiv:2208.08290v1, 2022.
M. Hofmanová, R. Zhu, X. Zhu, A class of supercritical/critical singular stochstic PDEs: Existence, non-uniqueness, non-gaussianity, non-unique ergodicity, arXiv:2205.13378v1, 2022.
M. Hofmanová, R. Zhu, X. Zhu, Global-in-time probabilistically strong and Markov solutions to stochastic \(3\)D Navier-Stokes equations: Existence and non-uniqueness, The Annals of Probability 51(2), 524-579, https://doi.org/10.1214/22-AOP1607, 2023.
P. Isett, A Proof of Onsager’s conjecture, Annals of Mathematics (2) 188(3), 871-963, https://doi.org/10.4007/annals.2018.188.3.4, 2018.
N.H. Kuiper, On \(C^1\)-isometric imbeddings I, Indagationes Mathematicae (Proceedings) 58, 545-556, https://doi.org/10.1016/S1385-7258(55)50075-8, 1955.
N.H. Kuiper, On \(C^1\)-isometric imbeddings II, Indagationes Mathematicae (Proceedings) 58, 683-689, https://doi.org/10.1016/S1385-7258(55)50093-X, 1955.
T. Kurtz, The Yamada-Watanabe-Engelbert theorem for general stochastic equations and inequalities, Electronic Journal of Probability 12, 951-965, https://doi.org/10.1214/EJP.v12-431, 2007.
U. Koley, K. Yamazaki, Non-uniqueness in law of the two-dimensional surface quasi-geostrophic equations forced by random noise, arXiv:2208.05673v2, 2022.
H. Lü, X. Zhu, Global-in-times probabilistically strong solutions to stochastic power-law equations: Existence and non-uniqueness, arXiv:2209.02531, 2022.
S. Müller, V. Šverák, Convex integration for lipschitz mappings and counterexamples to regularity, Annals of Mathematics 157(3) 715-742, https://doi.org/10.4007/annals.2003.157.715, 2003.
J. Nash, \(C^1\) isometric imbeddings, Annals of Mathematics 60(3), 383-396, https://doi.org/10.2307/1969840, 1954.
M. Rehmeier, A. Schenke, Non-uniqueness in law for stochastic hypodissipative Navier-Stokes equations, Nonlinear Analysis, 227 https://doi.org/10.1016/j.na.2022.113179, 2023.
M. Röckner, R. Zhu, X. Zhu, Local existence and non-explosion of solutions for stochastic fractional partial differential equations driven by multiplicative noise, Stochastic Processes and their Applications 124(5) 1974-2002, https://doi.org/10.1016/j.spa.2014.01.010, 2014.
H. Triebel, Theory of function spaces, vol. 78 in Monographs in Mathematics, Birkhäuser Verlag, Basel, Boston, Stuttgart, 1983.
H. Triebel, Theory of function spaces II, vol. 84 in Monographs in Mathematics, Birkhäuser Verlag, Basel, Boston, Berlin, 1992.
K. Yamazaki, Non-uniqueness in law of three-dimensional Navier-Stokes equations diffused via a fractional Laplacian with power less than one half, arXiv:2104.10294v1, 2021.
K. Yamazaki, Non-uniqueness in law of three-dimensional magnetohydrodynamics system forced by random noise, arXiv:2109.07015v1, 2021.
Funding
Open Access funding enabled and organized by Projekt DEAL.
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No. 949981).
Appendix
Appendix
Lemma A.1
For \(d\ge 3\) and a finite set of directions \(\Lambda \subseteq \mathbb {R}^d \), there exists some \((\alpha _\xi )_{\xi \in \Lambda }\) and \(\rho >0\) such that the periodic tubes
are mutually disjoint.
Proof
See [7], p. 9, Lemma 3. \(\square \)
Lemma A.2
Take \(p \in \{1,2\}\) and let g be a \(\left( \frac{\mathbb {T}}{\kappa }\right) ^3\)-periodic function with \(\kappa \in \mathbb {N}\) and f be a \(\mathbb {T}^3\)-periodic function, satisfying
for some constants \(C_f>0,\, \zeta \ge 1 \) and every \(0\le n\le N+4\) with \(N\in \mathbb {N}\). Then, it holds
provided
Proof
See [6], p. 12, Lemma 3.7. \(\square \)
Lemma A.3
Assume \(1\le \zeta <\kappa \) to be parameters, satisfying \(\kappa ^{3-N}\zeta ^N\le 1\) for some nonnegative integer \(N \ge 2\), let \(f\in L^p\left( \mathbb {T}^3 \right) \) with \(p \in (1,2]\) and let \(a \in C^N\left( \mathbb {T}^3\right) \) be a function which obeys
for some constant \(C_a>0\) and \(n \in \{0,N\}\). It then holds that
where the implicit constant depends on p and N.
Proof
See [6], p. 32, Lemma B.1. \(\square \)
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Berkemeier, S.E. On the 3D Navier–Stokes equations with a linear multiplicative noise and prescribed energy. J. Evol. Equ. 23, 43 (2023). https://doi.org/10.1007/s00028-023-00884-0
Accepted:
Published:
DOI: https://doi.org/10.1007/s00028-023-00884-0