Large-time optimal observation domain for linear parabolic systems

Given a well-posed linear evolution system settled on a domain \Omega of \mathbb{R}^{d} , an observation subset \omega\subset\Omega and a time horizon T , the observability constant is defined as the largest possible nonnegative constant such that the observability inequality holds for the pair (\omega,T) . In this article we investigate the large-time behavior of the observation domain that maximizes the observability constant over all possible measurable subsets of a given Lebesgue measure. We prove that it converges exponentially, as the time horizon goes to infinity, to a limit set that we characterize. The mathematical technique is new and relies on a quantitative version of the bathtub principle.

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Publication Details

Journal
Annales de l Institut Henri Poincaré C Analyse Non Linéaire
Published
2025-01-23
DOI
https://doi.org/10.4171/aihpc/152
Primary Topic
Advanced Mathematical Modeling in Engineering
Type
article
Field-Weighted Citation Impact
0.00

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article

Large-time optimal observation domain for linear parabolic systems

Idriss Mazari, Yannick Privat, Emmanuel Trélat
Annales de l Institut Henri Poincaré C Analyse Non Linéaire
Advanced Mathematical Modeling in Engineering
article

Large-time optimal observation domain for linear parabolic systems

Idriss Mazari, Yannick Privat, Emmanuel Trélat
article en

Abstract

Given a well-posed linear evolution system settled on a domain \Omega of \mathbb{R}^{d} , an observation subset \omega\subset\Omega and a time horizon T , the observability constant is defined as the largest possible nonnegative constant such that the observability inequality holds for the pair (\omega,T) . In this article we investigate the large-time behavior of the observation domain that maximizes the observability constant over all possible measurable subsets of a given Lebesgue measure. We prove that it converges exponentially, as the time horizon goes to infinity, to a limit set that we characterize. The mathematical technique is new and relies on a quantitative version of the bathtub principle.

Annales de l Institut Henri Poincaré C Analyse Non LinéaireVol. 43(2)
Centre National de la Recherche Scientifique (FR), Centre de Recherche en Mathématiques de la Décision (FR), Institut Universitaire de France (FR), Université Paris Cité (FR), Institut Élie Cartan de Lorraine (FR), Sorbonne Université (FR), Sorbonne Paris Cité (FR), Numerical Method (China) (CN), Laboratoire Jacques-Louis Lions (FR), Université Paris Dauphine-PSL (FR), Université de Lorraine (FR)
Agence Nationale de la Recherche
Openalex Percentile: Top 100%
Advanced Mathematical Modeling in Engineering
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Large-time optimal observation domain for linear parabolic systems — Idriss Mazari, Yannick Privat, et al. · Annales de l Institut Henri Poincaré C Analyse Non Linéaire (2025) | TGRS Research Map | TGRS