Global synchronising behavior of evolution equations with exponentially growing nonautonomous forcing

Xuewei Ju; Desheng Li

doi:10.3934/cpaa.2018091

Article Contents

2018, Volume 17, Issue 5: 1921-1944. Doi: 10.3934/cpaa.2018091

This issue Previous Article Existence and asymptotic behaviors of traveling waves of a modified vector-disease model Next Article A quasilinear parabolic problem with a source term and a nonlocal absorption

Global synchronising behavior of evolution equations with exponentially growing nonautonomous forcing

Xuewei Ju^1, , and
Desheng Li^2,

1.
Department of Mathematics, School of Science, Civil Aviation University of China, Tianjin 300300, China
2.
School of Mathematics, Tianjin University, Tianjin 300072, China

* Corresponding author
* Corresponding author

Received: August 1, 2017

Revised: December 1, 2017

Published online: April 22, 2018

Abstract / Introduction Full Text(HTML) Related Papers Cited by

Abstract

This work is concerned with the following nonautonomous evolutionary system on a Banach space $X$,

${x_t} + Ax = f\left( {x, h\left( t \right)} \right), \;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\left( {0.1} \right)$

where $A$ is a hyperbolic sectorial operator on $X$, the nonlinearity $f \in C({X^\alpha } \times X,X)$ is Lipschitz in the first variable, the nonautonomous forcing $h \in C(\mathbb{R},X)$ is $\mu $-subexponentially growing for some $\mu >0$ (see (3.4) below for definition). Under some reasonable assumptions, we first establish an existence result for a unique nonautonomous hyperbolic equilibrium for the system in the framework of cocycle semiflows. We then demonstrate that the system exhibits a global synchronising behavior with the nonautonomous forcing $h$ as time varies. Finally, we apply the abstract results to stochastic partial differential equations with additive white noise and obtain stochastic hyperbolic equilibria for the corresponding systems.

Keywords:

Mathematics Subject Classification: 37B55, 37D05, 37L55, 34D06, 37D10.

Citation:

Full Text(HTML)

Related Papers

Cited by

References

[1]	L. Arnold, Random Dynamical Systems, Springer, New York, 1998.
[2]	P. Brune and B. Schmalfuss, Inertial manifolds for stochastic pde with dynamical boundary conditions, Commun. Pure Appl. Anal., 10 (2011), 831-846.
[3]	A. N. Carvalho, J. A. Langa and J. C. Robinson, Attractors for Infinite-Dimensional Non-Autonomous Dynamical Systems, Appl. Math. Sci. 182, 2013.
[4]	A. N. Carvalho, J. A. Langa, J. C. Robinson and A. Suárez, Characterization of nonautonomous attractors of a perturbed gradient system, J. Differential Equations, 236 (2007), 570-603.
[5]	A. N. Carvalho and J. A. Langa, An extension of the concept of gradient semigroups which is stable under perturbation, J. Differential Equations, 246 (2009), 2646-2668.
[6]	T. Caraballo, P. Kloeden and B. Schmalfuss, Exponentially stable stationary solutions for stochastic evolution equations and their perturbation, Appl. Math. Optim., 50 (2004), 183-207.
[7]	T. Caraballo, J. A. Langa and Z. X. Liu, Gradient infinite-dimensional random dynamical system, SIAM J. Appl. Dyn. Syst., 11 (2012), 1817-1847.
[8]	X. Chen and J. Duan, State space decomposition for non-autonomous dynamical systems, Proc. Roy. Soc. Edinburgh Sect. A, 141 (2011), 957-974.
[9]	V. V. Chepyzhov and M. I. Vishik, Attractors of Equations of Mathematical Physics, Amer. Math. Soc., Providence, RI, 2002.
[10]	D. Cheban, P. Kloeden and B. Schmalfuss, The relation between pullback and global attractors for nonautonomous dynamical systems, Nonlinear Dyn. Syst. Theory, 2 (2002), 125-144.
[11]	E. R. Arag$\tilde{a}$o-Costa, T. Caraballo, A. N. Carvalho and J. A. Langa, Stability of gradient semigroups under perturbation, Nonlinearity, 24 (2011), 2099-2117.
[12]	H. Crauel and F. Flandoli, Attractors for random dynamical systems, Probab. Theory Related Fields, 100 (1994), 365-393.
[13]	H. Crauel, A. Debussche and F. Flandoli, Random attractors, J. Dynam. Differential Equations, 9 (1997), 307-341.
[14]	G. Da Prato and J. Zabczyk, Stochastic Equations in Infinite Dimensions, Cambridge Univ. Press, Cambridge, 1992.
[15]	J. Duan, K. Lu and B. Schmalfuss, Invariant manifolds for stochastic partial differential equations, Ann. Probab., 31 (2003), 2109-2135.
[16]	J. Duan, K. Lu and B. Schmalfuss, Smooth stable and unstable manifolds for stochastic evolutionary equations, J. Dynam. Differential Equations, 16 (2004), 949-972.
[17]	J. Duan and W. Wang, Effective Dynamics of Stochastic Partial Differential Equations, Elsevier, 2014.
[18]	J. K. Hale, Asymptotic Behavior of Dissipative Systems, Math. Surveys Monogr. 25, Amer. Math. Soc., R. I., 1989.
[19]	D. Henry, Geometric Theory of Semilinear Parabolic Equations, Lecture Notes in Math. 840, Springer-Verlag, 1981.
[20]	D. S. Li and X. X. Zhang, On dynamical properties of general dynamical systems and differential inclusions, J. Appl. Math. Anal. Appl., 274 (2002), 705-724.
[21]	D. S. Li and J. Duan, Structure of the set of bounded solutions for a class of nonautonomous second-order differential equations, J. Differential Equations, 246 (2009), 1754-1773.
[22]	D. S. Li, Morse theory of attractors via Lyapunov functions, preprint, arXiv: 1003.0305v1.
[23]	K. Lu and B. Schmalfuss, Invariant manifolds for stochastic wave equations, J. Differential Equations, 236 (2007), 460-492.
[24]	J. C. Robinson, Infinite-Dimensional Dynamical Systems, Cambridge Univ. Press, Cambridge, 2001.
[25]	M. I. Vishik, S. V. Zelik and V. V. Chepyzhov, Regular attractors and nonautonomous perturbations of them, Mat. Sb., 204 (2013), 1-42.