Determining nonlinear balance laws in product-type domains by a single local passive boundary observation

This paper introduces an operator-theoretic paradigm for solving inverse problems in nonlinear balance laws, shifting the focus from identifying specific functional forms to recovering the input-output actions of the associated flux and source operators. It is established that a single local passive boundary observation suffices to uniquely determine realizations of these operators for systems posed on product-type domains. This framework, which encompasses dynamical regimes, reveals a holographic-type principle where macroscopic boundary data encodes microscopic dynamical information, with broad implications for fluid dynamics and reaction-diffusion systems.

Publication Details

Journal
ArXiv.org
Published
2025-10-12
Primary Topic
Numerical methods in inverse problems
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article
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article

Determining nonlinear balance laws in product-type domains by a single local passive boundary observation

ArXiv.org
Numerical methods in inverse problems
article

Determining nonlinear balance laws in product-type domains by a single local passive boundary observation

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Abstract

This paper introduces an operator-theoretic paradigm for solving inverse problems in nonlinear balance laws, shifting the focus from identifying specific functional forms to recovering the input-output actions of the associated flux and source operators. It is established that a single local passive boundary observation suffices to uniquely determine realizations of these operators for systems posed on product-type domains. This framework, which encompasses dynamical regimes, reveals a holographic-type principle where macroscopic boundary data encodes microscopic dynamical information, with broad implications for fluid dynamics and reaction-diffusion systems.

ArXiv.org
Openalex Percentile: Top 41%
Numerical methods in inverse problems
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Determining nonlinear balance laws in product-type domains by a single local passive boundary observation · ArXiv.org (2025) | TGRS Research Map | TGRS