Non-wandering points for autonomous/periodic parabolic equations on the circle
Wenxian Shen, Yi Wang, Dun Zhou

TL;DR
This paper investigates the structure of non-wandering points in scalar reaction-diffusion equations on the circle, revealing they are either fixed points, periodic points, or rotating waves, depending on the system's time dependence.
Contribution
It characterizes non-wandering points for autonomous and periodic parabolic equations on the circle, showing they are limit points such as fixed points, periodic points, or rotating waves.
Findings
Non-wandering points are limit points in the system's omega-limit set.
In autonomous systems, non-wandering points are fixed points or rotating waves.
In periodic systems, non-wandering points are periodic points or rotating waves.
Abstract
We study the properties of non-wandering points of the following scalar reaction-diffusion equation on the circle , \begin{equation*} u_{t}=u_{xx}+f(t,u,u_{x}),\,\,t>0,\,x\in S^{1}=\mathbb{R}/2\pi \mathbb{Z}, \end{equation*} where is independent of or -periodic in . Assume that the equation admits a compact global attractor. It is proved that, any non-wandering point is a limit point of the system (that is, it is a point in some -limit set). More precisely, in the autonomous case, it is proved that any non-wandering point is either a fixed point or generates a rotating wave on the circle. In the periodic case, it is proved that any non-wandering point is a periodic point or generates a rotating wave on a torus. In particular, if , then any non-wandering point is a fixed point in the autonomous case, and is a periodic point in the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStability and Controllability of Differential Equations · Nonlinear Dynamics and Pattern Formation · Mathematical Dynamics and Fractals
