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Main Authors: Garrido, Juan Guillermo, Pérez-Aros, Pedro, Staudigl, Mathias
Format: Preprint
Published: 2026
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Online Access:https://arxiv.org/abs/2602.23145
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author Garrido, Juan Guillermo
Pérez-Aros, Pedro
Staudigl, Mathias
author_facet Garrido, Juan Guillermo
Pérez-Aros, Pedro
Staudigl, Mathias
contents This paper studies the long-time behavior of stochastic differential inclusions driven by maximal monotone operators, motivated by continuous-time models of first-order optimization methods under noisy or approximate operator information. We first address well-posedness and show that existence and uniqueness can be established without the customary requirement that the operator's domain has nonempty interior, by adopting an appropriate notion of solution. We then analyze asymptotic properties of the resulting stochastic dynamics, extending convergence guarantees beyond previously studied settings that rely on smooth potentials, full-domain subdifferentials, or Lipschitz monotone operators. In addition, we consider a Tikhonov-type regularization of the stochastic inclusion and prove corresponding well-posedness and long-time convergence results.
format Preprint
id arxiv_https___arxiv_org_abs_2602_23145
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Stochastic Differential Inclusions driven by Maximal Monotone Operators with empty interiors
Garrido, Juan Guillermo
Pérez-Aros, Pedro
Staudigl, Mathias
Optimization and Control
Dynamical Systems
This paper studies the long-time behavior of stochastic differential inclusions driven by maximal monotone operators, motivated by continuous-time models of first-order optimization methods under noisy or approximate operator information. We first address well-posedness and show that existence and uniqueness can be established without the customary requirement that the operator's domain has nonempty interior, by adopting an appropriate notion of solution. We then analyze asymptotic properties of the resulting stochastic dynamics, extending convergence guarantees beyond previously studied settings that rely on smooth potentials, full-domain subdifferentials, or Lipschitz monotone operators. In addition, we consider a Tikhonov-type regularization of the stochastic inclusion and prove corresponding well-posedness and long-time convergence results.
title Stochastic Differential Inclusions driven by Maximal Monotone Operators with empty interiors
topic Optimization and Control
Dynamical Systems
url https://arxiv.org/abs/2602.23145