Asymptotic behavior of nonautonomous monotone and subgradient evolution equations

TL;DR

This paper investigates the long-term behavior of solutions to nonautonomous evolution equations involving maximal monotone operators in Hilbert spaces, establishing conditions for weak convergence and applying results to convex subdifferentials and multiscale systems.

Contribution

It introduces a unified approach using the Brézis-Haraux and Fitzpatrick functions to analyze asymptotic convergence of trajectories in nonautonomous monotone evolution equations, including subdifferential and multiscale cases.

Findings

Weak ergodic convergence to a zero of the limit operator

Convergence results for subdifferential operators of convex functions

Asymptotic properties of hierarchical minimization and viscosity solutions

Abstract

In a Hilbert setting $H$, we study the asymptotic behavior of the trajectories of nonautonomous evolution equations $\dot x(t)+A_t(x(t))\ni 0$, where for each $t\geq 0$, $A_t:H\tto H$ denotes a maximal monotone operator. We provide general conditions guaranteeing the weak ergodic convergence of each trajectory $x(\cdot)$ to a zero of a limit maximal monotone operator $ A_\infty$, as the time variable $t$ tends to $+\infty$. The crucial point is to use the Br\'ezis-Haraux function, or equivalently the Fitzpatrick function, to express at which rate the excess of $\gph A_\infty$ over $\gph A_t$ tends to zero. This approach gives a sharp and unifying view on this subject. In the case of operators $A_t= \partial \phi_t$ which are subdifferentials of closed convex functions $\phi_t$, we show convergence results for the trajectories. Then, we specialize our results to multiscale evolution equations, and obtain asymptotic properties of hierarchical minimization, and selection of viscosity solutions. Illustrations are given in the field of coupled systems, and partial differential equations.