Lyapunov stability and uniqueness problems for Hamilton-Jacobi equations without monotonicity
Yuqi Ruan, Kaizhi Wang, Jun Yan

TL;DR
This paper investigates the stability and uniqueness of stationary solutions for non-monotonic Hamilton-Jacobi equations on compact manifolds, introducing new criteria and extending Mather and weak KAM theories without relying on auxiliary functions.
Contribution
It develops Lyapunov stability criteria and uniqueness results for non-monotonic Hamilton-Jacobi equations, and extends Mather and weak KAM theories to contact Hamiltonian systems.
Findings
Provided criteria for stability and instability of solutions.
Proved uniqueness of stationary solutions under certain parameter conditions.
Extended Mather and weak KAM theories to non-monotonic contact Hamiltonian systems.
Abstract
We consider the evolutionary Hamilton-Jacobi equation \begin{align*} w_t(x,t)+H(x,Dw(x,t),w(x,t))=0, \quad(x,t)\in M\times [0,+\infty), \end{align*} where is a compact manifold, , satisfies Tonelli conditions in and the Lipschitz condition in . This work mainly concerns with the Lyapunov stability (including asymptotic stability, and instability) and uniqueness of stationary viscosity solutions of the equation. A criterion for stability and a criterion for instability are given. We do not utilize auxiliary functions and thus our method is different from the classical Lyapunov's direct method. We also prove several uniqueness results for stationary viscosity solutions. The Hamiltonian has no concrete form and it may be non-monotonic in the argument , where the situation is more complicated than the monotonic case. Several…
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
TopicsOptimization and Variational Analysis · Stability and Controllability of Differential Equations · Mathematical Biology Tumor Growth
