Optimizing quasi-dissipative evolution equations with the moment-SOS hierarchy

We prove that there is no relaxation gap between a quasi-dissipative nonlinear evolution equation in a Hilbert space and its linear Liouville equation reformulation on probability measures. In other words, strong and generalized solutions of such equations are unique in the class of measure-valued solutions. As a major consequence, non-convex numerical optimization over these non-linear partial differential equations can be carried out with the infinite-dimensional moment-SOS hierarchy with global convergence guarantees. This covers in particular all reaction-diffusion equations with polynomial nonlinearity.

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Publication Details

Journal
Discrete and Continuous Dynamical Systems
Published
2025-01-01
DOI
https://doi.org/10.3934/dcds.2025051
Primary Topic
Advanced Mathematical Modeling in Engineering
Type
article
Field-Weighted Citation Impact
0.00

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article

Optimizing quasi-dissipative evolution equations with the moment-SOS hierarchy

Saroj Prasad Chhatoi, Swann Marx, Nicolas Seguin, Didier Henrion
Discrete and Continuous Dynamical Systems
Advanced Mathematical Modeling in Engineering
article

Optimizing quasi-dissipative evolution equations with the moment-SOS hierarchy

Saroj Prasad Chhatoi, Swann Marx, Nicolas Seguin, Didier Henrion
article en

Abstract

We prove that there is no relaxation gap between a quasi-dissipative nonlinear evolution equation in a Hilbert space and its linear Liouville equation reformulation on probability measures. In other words, strong and generalized solutions of such equations are unique in the class of measure-valued solutions. As a major consequence, non-convex numerical optimization over these non-linear partial differential equations can be carried out with the infinite-dimensional moment-SOS hierarchy with global convergence guarantees. This covers in particular all reaction-diffusion equations with polynomial nonlinearity.

Discrete and Continuous Dynamical SystemsVol. 45(11)
École Centrale de Nantes (FR), Centre National de la Recherche Scientifique (FR), Université Fédérale de Toulouse Midi-Pyrénées (FR), Laboratoire d'Analyse et d'Architecture des Systèmes (FR), Université de Montpellier (FR), Laboratoire des Sciences du Numérique de Nantes (FR), Nantes Université (FR)
European Commission, Agence Nationale de la Recherche
Openalex Percentile: Top 91%
Advanced Mathematical Modeling in Engineering
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Optimizing quasi-dissipative evolution equations with the moment-SOS hierarchy — Saroj Prasad Chhatoi, Swann Marx, et al. · Discrete and Continuous Dynamical Systems (2025) | TGRS Research Map | TGRS