eISSN:
 2688-1594

Electronic Research Archive

Specail issue on infinite dimensional dynamical systems and applications

Xiaoying Han, Auburn University, Auburn, AL, USA xzh0003@auburn.edu

Wan-Tong Li, Lanzhou University, Chinawtli@lzu.edu.cn

Zhi-Cheng Wang, School of Mathematics and Statistics, Lanzhou University, Lanzhou, Gansu 730000, Chinawangzhch@lzu.edu.cn

Asymptotic behaviour of a neural field lattice model with delaysSpecial Issues
Xiaoli Wang, Peter Kloeden and Meihua Yang
2020, 28(2): 1037-1048 doi: 10.3934/era.2020056 +[Abstract](20)+[HTML](11) +[PDF](331.1KB)
Abstract:

The asymptotic behaviour of an autonomous neural field lattice system with delays is investigated. It is based on the Amari model, but with the Heaviside function in the interaction term replaced by a sigmoidal function. First, the lattice system is reformulated as an infinite dimensional ordinary delay differential equation on weighted sequence state space \begin{document}$ \ell_\rho^2 $\end{document} under some appropriate assumptions. Then the global existence and uniqueness of its solution and its formulation as a semi-dynamical system on a suitable function space are established. Finally, the asymptotic behaviour of solution of the system is investigated, in particular, the existence of a global attractor is obtained.

The boundedness and upper semicontinuity of the pullback attractors for a 2D micropolar fluid flows with delaySpecial Issues
Wenlong Sun
2020, 28(3): 1343-1356 doi: 10.3934/era.2020071 +[Abstract](12)+[HTML](9) +[PDF](352.18KB)
Abstract:

In this paper, two properties of the pullback attractor for a 2D non-autonomous micropolar fluid flows with delay on unbounded domains are investigated. First, we establish the \begin{document}$ H^1 $\end{document}-boundedness of the pullback attractor. Further, with an additional regularity limit on the force and moment with respect to time t, we remark the \begin{document}$ H^2 $\end{document}-boundedness of the pullback attractor. Then, we verify the upper semicontinuity of the pullback attractor with respect to the domains.

Strong $ (L^2,L^\gamma\cap H_0^1) $-continuity in initial data of nonlinear reaction-diffusion equation in any space dimensionSpecial Issues
Hongyong Cui, Peter E. Kloeden and Wenqiang Zhao
2020, 28(3): 1357-1374 doi: 10.3934/era.2020072 +[Abstract](15)+[HTML](8) +[PDF](384.95KB)
Abstract:

In this paper we study the continuity in initial data of a classical reaction-diffusion equation with arbitrary \begin{document}$ p>2 $\end{document} order nonlinearity and in any space dimension \begin{document}$ N \geqslant 1 $\end{document}. It is proved that the weak solutions can be \begin{document}$ (L^2, L^\gamma\cap H_0^1) $\end{document}-continuous in initial data for arbitrarily large \begin{document}$ \gamma \geqslant 2 $\end{document} (independent of the physical parameters of the system), i.e., can converge in the norm of any \begin{document}$ L^\gamma\cap H_0^1 $\end{document} as the corresponding initial values converge in \begin{document}$ L^2 $\end{document}. In fact, the system is shown to be \begin{document}$ (L^2, L^\gamma\cap H_0^1) $\end{document}-smoothing in a H\begin{document}$ \ddot{\rm o} $\end{document}lder way. Applying this to the global attractor we find that, with external forcing only in \begin{document}$ L^2 $\end{document}, the attractor \begin{document}$ \mathscr{A} $\end{document} attracts bounded subsets of \begin{document}$ L^2 $\end{document} in the norm of any \begin{document}$ L^\gamma\cap H_0^1 $\end{document}, and that every translation set \begin{document}$ \mathscr{A}-z_0 $\end{document} of \begin{document}$ \mathscr{A} $\end{document} for any \begin{document}$ z_0\in \mathscr{A} $\end{document} is a finite dimensional compact subset of \begin{document}$ L^\gamma\cap H_0^1 $\end{document}. The main technique we employ is a combination of a Moser iteration and a decomposition of the nonlinearity, by which the interpolation inequalities are avoided and the new continuity result is obtained without any restrictions on the order \begin{document}$ p>2 $\end{document} of the nonlinearity and the space dimension \begin{document}$ N \geqslant 1 $\end{document}.

Odd random attractors for stochastic non-autonomous Kuramoto-Sivashinsky equations without dissipationSpecial Issues
Yangrong Li, Shuang Yang and Qiangheng Zhang
2020, 28(4): 1529-1544 doi: 10.3934/era.2020080 +[Abstract](15)+[HTML](14) +[PDF](356.71KB)
Abstract:

We study the random dynamics for the stochastic non-autonomous Kuramoto-Sivashinsky equation in the possibly non-dissipative case. We first prove the existence of a pullback attractor in the Lebesgue space of odd functions, then show that the fiber of the odd pullback attractor semi-converges to a nonempty compact set as the time-parameter goes to minus infinity and finally prove the measurability of the attractor. In a word, we obtain a longtime stable random attractor formed from odd functions. A key tool is the existence of a bridge function between Lebesgue and Sobolev spaces of odd functions.

Regular random attractors for non-autonomous stochastic reaction-diffusion equations on thin domainsSpecial Issues
Dingshi Li and Xuemin Wang
2020,  doi: 10.3934/era.2020100 +[Abstract](15)+[HTML](11) +[PDF](446.01KB)
Abstract:

In this paper, we consider a kind of efficient finite difference methods (FDMs) for solving the nonlinear Helmholtz equation in the Kerr medium. Firstly, by applying several iteration methods, we linearize the nonlinear Helmholtz equation in several different ways. Then, based on the resulted linearized problem at each iterative step, by rearranging the Taylor expansion and using the ADI method, we deduce a kind of new FDMs, which also provide a route to deal with the problem with discontinuous coefficients.Finally, some numerical results are presented to validate the efficiency of the proposed schemes, and to show that our schemes perform with much higher accuracy and better convergence compared with the classical ones.

Pullback attractors for stochastic recurrent neural networks with discrete and distributed delaysSpecial Issues
Meiyu Sui Yejuan Wang and Peter E. Kloeden
2020,  doi: 10.3934/era.2020112 +[Abstract](15)+[HTML](11) +[PDF](494.53KB)
Abstract:

In this paper, we consider a kind of efficient finite difference methods (FDMs) for solving the nonlinear Helmholtz equation in the Kerr medium. Firstly, by applying several iteration methods, we linearize the nonlinear Helmholtz equation in several different ways. Then, based on the resulted linearized problem at each iterative step, by rearranging the Taylor expansion and using the ADI method, we deduce a kind of new FDMs, which also provide a route to deal with the problem with discontinuous coefficients.Finally, some numerical results are presented to validate the efficiency of the proposed schemes, and to show that our schemes perform with much higher accuracy and better convergence compared with the classical ones.

Title change has delayed IF 2018  Impact Factor: 0.263

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