Abstract
This paper is devoted to the study of the asymptotic behavior of an essentially nonlinear system with resonant frequencies. Namely, it is assumed that the matrix of linear approximation of the system has several subsets of multiple purely imaginary eigenvalues. For such systems, the paper presents sufficient conditions for the asymptotic stability of the equilibrium regardless of forms higher than the third order. The main result is a power estimate for the norm of solutions of a system. A method for computing the coefficient of such an estimate is also proposed with use of the center manifold reduction and the normal form theory. It is shown that the order of the decay estimate varies for cases of a diagonalizable matrix of linear approximation and for a matrix containing a \(2 \times 2\) Jordan block. As an example, the decay estimate and the Lyapunov function are constructed explicitly for a spring-pendulum system with partial dissipation.
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Acknowledgments
The author is grateful to Prof. Frank Allgöwer for valuable suggestions and to Prof. Alexander Zuyev for fruitful discussions and constant attention to this work.
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This work is supported by the Alexander von Humboldt Foundation.
Appendices
Appendix 1: Coefficients of the model system
In this appendix we present explicit expression for functions \(F_{1j}\), \(F_{2j}\) in Eq. (16).
\(\beta {\in }\mathcal {M}_0\), where \(\theta _{jk}=\theta _j-\theta _k\), and coefficients of functions \(F_s\) are defined from coefficients of Eq. (14) as follows:
Equation (16) with terms up to the third order is called to be the model system:
Thus, the study of the asymptotic stability regardless of forms higher than the third order for the trivial solution of system (1) is reduced to studying the asymptotic stability of the invariant set \(\{(r,\theta ):r=0\}\) of the model system.
Appendix 2: Asymptotic stability conditions for system (17)
The following statement provides asymptotic stability conditions for a class of systems (17) with nonnegative diagonal coefficients.
Theorem 6
It is sufficient for asymptotic stability of the invariant set \(\big \{(r,\theta ):r=0\big \}\) of system (17) that there exists constants \(c_j>0\), \(c_{1j_1j_2}\), and \(c_{2j_1\alpha _2}\), (\(c_{1j_1j_2}=c_{1j_2j_1}\), \(c_{2j_1j_2}=-c_{2j_2j_1}\), \(j=\overline{1,q}\), \(j_1,j_2\in \mathcal {M}_l\), \(l=\overline{1,L}\)), satisfying the following conditions in the cone \(\mathcal {K}\):
-
1.
\(\displaystyle {\sum _{j=1}^q}c_j\rho _s^2-{\sum _{s=1}^L}{\sum _{\underset{j_1\ne j_2}{j_1,j_2\in \mathcal {M}_s}}}\rho _{j_1}\rho _{j_2}\big (c_{1j_1j_2}^2 +c_{2j_1j_2}^2\big )^{1/2}\ge 0\);
-
2.
\(\displaystyle W_1(\rho )\le 0\),
where \(W_1(\rho )\) is a quadratic form defined as follows:
with
\(\delta _{j_1j_2}\) is the Kronecker delta, and \(d_{\alpha }=(a_\alpha ^2+b_{\alpha }^2)^{1/2}\), \(\tilde{d}_{\alpha }=(\tilde{a}_\alpha ^2+\tilde{b}_{\alpha }^2)^{1/2}\), for all indices \(\alpha \).
Proof
Under assumptions of the theorem, a function
is the Lyapunov function for system (17) and its time derivative along the trajectories of system (17) can be estimated from the above by function (42) with \(\rho _s=r_s^2\). \(\square \)
Appendix 3: Construction of the model system (37)
In this appendix we briefly describe the center manifold reduction for system (35). With linear transformation
system (35) takes the form
where
Accordingly with the center manifold theory [3, 20], we introduce variables \(\zeta \) such that the second-order terms in the equations for \(\dot{w}_4\), \(\dot{w}_5\), \(\dot{w}_6\) vanish: \( \zeta _j=w_j-v_j(\xi ,\eta ),\quad j=\overline{1,6},\) where \(v_j(\xi ,\eta )\) are the second-order polynomial with constant coefficients. Then system (45) can be rewritten as
where \(P_{s1}(\zeta )\), \(P_{s2}(\zeta )\) contain linear and quadratic terms with respect to \(\zeta \), \(\widetilde{X}_s(\xi ,\eta )\) are the second-order forms, \(Z_k(\xi ,\eta )\) are the third-order forms, and by dots we mean terms of higher than the third orders. The next step is to eliminate linear with respect to \(\zeta \) terms from the equations for \(\dot{\eta }\). For this purpose, we put
where \(\psi _{jk}^{(s)}\) are constant coefficients, \(s=1,2\). Then we introduce complex conjugate variables by the substitution \( z_s=y_{1s}+iy_{2s}\), \(\bar{z}_s=y_{1s}-iy_{2s}\), \( s=1,2\), and come to the system of type (6). We decompose it into a critical subsystem
and a stable subsystem
By applying transformations (12) and (15), we get system of type (16) and then come to the model system.
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Grushkovskaya, V. On the influence of resonances on the asymptotic behavior of trajectories of nonlinear systems in critical cases. Nonlinear Dyn 86, 587–603 (2016). https://doi.org/10.1007/s11071-016-2909-8
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DOI: https://doi.org/10.1007/s11071-016-2909-8
Keywords
- Asymptotic behavior
- Decay estimate
- Essentially nonlinear system
- Resonance
- Asymptotic stability
- Lyapunov function