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arxiv: 2507.13000 · v2 · pith:GKFYQDUEnew · submitted 2025-07-17 · 🧮 math.OC

Geometric Stability Analysis for Differential Inclusions Governed by Maximally Monotone Operators

classification 🧮 math.OC
keywords geometriclipschitzstabilitysystemanalysisapproximationconvexifieddifferential
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This paper develops a geometric framework for the stability analysis of differential inclusions governed by maximally monotone operators. A key structural decomposition expresses the operator as the sum of a convexified limit mapping and a normal cone. However, the resulting dynamics are often difficult to analyze directly due to the absence of Lipschitz selections and boundedness. To overcome these challenges, we introduce a regularized system based on a fixed Lipschitz approximation of the convexified mapping. From this approximation, we extract a single-valued Lipschitz selection that preserves the essential geometric features of the original system. This framework enables the application of nonsmooth Lyapunov methods and Hamiltonian-based stability criteria. Instead of approximating trajectories, we focus on analyzing a simplified system that faithfully reflects the structure of the original dynamics. Several examples are provided to illustrate the method's practicality and scope.

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  1. Convergence and Stability of a Catching-Up Algorithm for Differential Inclusions with Maximal Monotone Operators

    math.OC 2026-04 unverdicted novelty 4.0

    A catching-up algorithm for differential inclusions with maximal monotone operators converges to continuous solutions on finite horizons with stability and explicit error bounds under dissipativity and Lipschitz assumptions.