Determine the point source of the heat equation with sparse boundary measurements

Fuente: arXiv
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Main Authors: Gu, Qiling, Zhang, Wenlong, Zhang, Zhidong
Format: Preprint
Published: 2025
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author Gu, Qiling
Zhang, Wenlong
Zhang, Zhidong
author_facet Gu, Qiling
Zhang, Wenlong
Zhang, Zhidong
contents In this work the authors consider the recovery of the point source in the heat equation. The used data is the sparse boundary measurements. The uniqueness theorem of the inverse problem is given. After that, the numerical reconstruction is considered. We propose a numerical method to reconstruct the location of a Dirac point source by reformulating the inverse problem as a least-squares optimization problem, which is efficiently solved using a gradient descent algorithm. Numerical experiments confirm the accuracy of the proposed method and demonstrate its robustness to noise.
format Preprint
id arxiv_https___arxiv_org_abs_2502_03018
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Determine the point source of the heat equation with sparse boundary measurements
Gu, Qiling
Zhang, Wenlong
Zhang, Zhidong
Numerical Analysis
In this work the authors consider the recovery of the point source in the heat equation. The used data is the sparse boundary measurements. The uniqueness theorem of the inverse problem is given. After that, the numerical reconstruction is considered. We propose a numerical method to reconstruct the location of a Dirac point source by reformulating the inverse problem as a least-squares optimization problem, which is efficiently solved using a gradient descent algorithm. Numerical experiments confirm the accuracy of the proposed method and demonstrate its robustness to noise.
title Determine the point source of the heat equation with sparse boundary measurements
topic Numerical Analysis
url https://arxiv.org/abs/2502.03018