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arXiv · 2608.17888

Stability and Reconstruction of a Nonlinearity in a Parabolic Equation from Partial Boundary Data

Jason Choy·Maolin Deng·Bangti Jin·Yavar Kian
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Abstract

In this work, we investigate the inverse problem of determining a semilinear term in a nonlinear parabolic equation from one single boundary flux measurement taken on an arbitrary subset of the boundary. More precisely, we address both uniqueness and stability issues of the inverse problem and establish new H\"older-type stability estimates. The H\"older exponent depends explicitly on the measurement configuration as well as on regularity properties of the semilinear term. The analysis relies on a novel approach based on the derivation of a suitable integral identity involving solutions of the associated adjoint equation. This allows reformulating the inverse problem as an inverse source problem with a sign-changing source term. The main results are obtained by combining fundamental properties of parabolic equations, including maximum principle and appropriate energy estimates. Finally, we complement the theoretical analysis with an iterative reconstruction algorithm inspired by inverse source problems, and illustrate its accuracy on several numerical experiments.

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Jason Choy, Maolin Deng, Bangti Jin, Yavar Kian. 2026-08-18. Stability and Reconstruction of a Nonlinearity in a Parabolic Equation from Partial Boundary Data. https://arxiv.org/abs/2608.17888

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