Composite Lyapunov Criteria for Stability and Convergence with Applications to Optimization Dynamics

Fuente: arXiv
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1. Verfasser: Saoud, Hassan
Format: Preprint
Veröffentlicht: 2025
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_version_ 1866909833055174656
author Saoud, Hassan
author_facet Saoud, Hassan
contents We propose a composite Lyapunov framework for nonlinear autonomous systems that ensures strict decay through a pair of differential inequalities. The approach yields integral estimates, quantitative convergence rates, vanishing of dissipation measures, convergence to a critical set, and semistability under mild conditions, without relying on invariance principles or compactness assumptions. The framework unifies convergence to points and sets and is illustrated through applications to inertial gradient systems and Primal--Dual gradient flows.
format Preprint
id arxiv_https___arxiv_org_abs_2510_08259
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Composite Lyapunov Criteria for Stability and Convergence with Applications to Optimization Dynamics
Saoud, Hassan
Optimization and Control
34D05, 34D20, 93D05, 37B25, 49J40
We propose a composite Lyapunov framework for nonlinear autonomous systems that ensures strict decay through a pair of differential inequalities. The approach yields integral estimates, quantitative convergence rates, vanishing of dissipation measures, convergence to a critical set, and semistability under mild conditions, without relying on invariance principles or compactness assumptions. The framework unifies convergence to points and sets and is illustrated through applications to inertial gradient systems and Primal--Dual gradient flows.
title Composite Lyapunov Criteria for Stability and Convergence with Applications to Optimization Dynamics
topic Optimization and Control
34D05, 34D20, 93D05, 37B25, 49J40
url https://arxiv.org/abs/2510.08259