Inexact Catching-Up Algorithm for Moreau's Sweeping Processes

Fuente: arXiv
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Auteurs principaux: Garrido, Juan Guillermo, Lioi, Maximiliano, Vilches, Emilio
Format: Preprint
Publié: 2025
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author Garrido, Juan Guillermo
Lioi, Maximiliano
Vilches, Emilio
author_facet Garrido, Juan Guillermo
Lioi, Maximiliano
Vilches, Emilio
contents In this paper, we develop an inexact version of the catching-up algorithm for sweeping processes. We define a new notion of approximate projection, which is compatible with any numerical method for approximating exact projections, as this new notion is not restricted to remain strictly within the set. We provide several properties of the new approximate projections, which enable us to prove the convergence of the inexact catching-up algorithm in three general frameworks: prox-regular moving sets, subsmooth moving sets, and merely closed sets. Additionally, we apply our numerical results to address complementarity dynamical systems, particularly electrical circuits with ideal diodes. In this context, we implement the inexact catching-up algorithm using a primal-dual optimization method, which typically does not necessarily guarantee a feasible point. Our results are illustrated through an electrical circuit with ideal diodes. Our results recover classical existence results in the literature and provide new insights into the numerical simulation of sweeping processes.
format Preprint
id arxiv_https___arxiv_org_abs_2501_04781
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Inexact Catching-Up Algorithm for Moreau's Sweeping Processes
Garrido, Juan Guillermo
Lioi, Maximiliano
Vilches, Emilio
Optimization and Control
Numerical Analysis
34G25, 34A60, 49J53, 65L20
In this paper, we develop an inexact version of the catching-up algorithm for sweeping processes. We define a new notion of approximate projection, which is compatible with any numerical method for approximating exact projections, as this new notion is not restricted to remain strictly within the set. We provide several properties of the new approximate projections, which enable us to prove the convergence of the inexact catching-up algorithm in three general frameworks: prox-regular moving sets, subsmooth moving sets, and merely closed sets. Additionally, we apply our numerical results to address complementarity dynamical systems, particularly electrical circuits with ideal diodes. In this context, we implement the inexact catching-up algorithm using a primal-dual optimization method, which typically does not necessarily guarantee a feasible point. Our results are illustrated through an electrical circuit with ideal diodes. Our results recover classical existence results in the literature and provide new insights into the numerical simulation of sweeping processes.
title Inexact Catching-Up Algorithm for Moreau's Sweeping Processes
topic Optimization and Control
Numerical Analysis
34G25, 34A60, 49J53, 65L20
url https://arxiv.org/abs/2501.04781