Identification of a Point Source in the Heat Equation from Sparse Boundary Measurements

Abstract. In this work we investigate the inverse problem of recovering one point source in the heat equation from sparse boundary measurement, i.e., the flux data at several points on the boundary. We prove the unique recovery of the location and piecewise constant in time amplitude when the domain is the unit ball in [Formula: see text] ([Formula: see text]) and the unique recovery of the location and compactly supported amplitude when the domain is simply connected, smooth, and bounded in [Formula: see text], under mild conditions on the observational points. The proof combines distinct analytical tools, including the representation of the flux data via Laplacian eigenfunctions on the unit ball, a detailed analysis of the properties of the heat and Poisson kernels, as well as methods drawn from complex analysis. Further, we present several numerical experiments to illustrate the feasibility of the recovery from sparse boundary data.

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Publication Details

Journal
SIAM Journal on Mathematical Analysis
Published
2026-09-16
DOI
https://doi.org/10.1137/26m1840659
Primary Topic
Numerical methods in inverse problems
Type
article
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Identification of a Point Source in the Heat Equation from Sparse Boundary Measurements

Fangyu Gong, Yavar Kian, Sizhe Liu, Bangti Jin
SIAM Journal on Mathematical Analysis
Numerical methods in inverse problems
article

Identification of a Point Source in the Heat Equation from Sparse Boundary Measurements

Fangyu Gong, Yavar Kian, Sizhe Liu, Bangti Jin
article en

Abstract

Abstract. In this work we investigate the inverse problem of recovering one point source in the heat equation from sparse boundary measurement, i.e., the flux data at several points on the boundary. We prove the unique recovery of the location and piecewise constant in time amplitude when the domain is the unit ball in [Formula: see text] ([Formula: see text]) and the unique recovery of the location and compactly supported amplitude when the domain is simply connected, smooth, and bounded in [Formula: see text], under mild conditions on the observational points. The proof combines distinct analytical tools, including the representation of the flux data via Laplacian eigenfunctions on the unit ball, a detailed analysis of the properties of the heat and Poisson kernels, as well as methods drawn from complex analysis. Further, we present several numerical experiments to illustrate the feasibility of the recovery from sparse boundary data.

SIAM Journal on Mathematical AnalysisVol. 58(5)
Centre National de la Recherche Scientifique (FR), Chinese University of Hong Kong (HK), Normandie Université (FR), Université de Rouen Normandie (FR)
Openalex Percentile: Top 65%
Numerical methods in inverse problems
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Identification of a Point Source in the Heat Equation from Sparse Boundary Measurements — Fangyu Gong, Yavar Kian, et al. · SIAM Journal on Mathematical Analysis (2026) | TGRS Research Map | TGRS