Unique and Stable Recovery of Space-Variable Order in Multidimensional Subdiffusion

Fuente: arXiv
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Autori principali: Hong, Jiho, Jin, Bangti, Kian, Yavar
Natura: Preprint
Pubblicazione: 2025
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author Hong, Jiho
Jin, Bangti
Kian, Yavar
author_facet Hong, Jiho
Jin, Bangti
Kian, Yavar
contents In this work we investigate the unique identifiability and stable recovery of a spatially dependent variable-order in the subdiffusion model from the boundary flux measurement. We establish several new unique identifiability results from the observation at one point on the boundary without / with the knowledge of medium properties, and a conditional Lipschitz stability estimate when the observation is available on the whole boundary. The analysis crucially employs resolvent estimates in the $L^r(Ω)$ ($r>d$) spaces, solution representation in the Laplace domain and novel asymptotic expansions of the Laplace transform of the boundary flux at $p= 0$ and $p=1$.
format Preprint
id arxiv_https___arxiv_org_abs_2507_06524
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Unique and Stable Recovery of Space-Variable Order in Multidimensional Subdiffusion
Hong, Jiho
Jin, Bangti
Kian, Yavar
Analysis of PDEs
In this work we investigate the unique identifiability and stable recovery of a spatially dependent variable-order in the subdiffusion model from the boundary flux measurement. We establish several new unique identifiability results from the observation at one point on the boundary without / with the knowledge of medium properties, and a conditional Lipschitz stability estimate when the observation is available on the whole boundary. The analysis crucially employs resolvent estimates in the $L^r(Ω)$ ($r>d$) spaces, solution representation in the Laplace domain and novel asymptotic expansions of the Laplace transform of the boundary flux at $p= 0$ and $p=1$.
title Unique and Stable Recovery of Space-Variable Order in Multidimensional Subdiffusion
topic Analysis of PDEs
url https://arxiv.org/abs/2507.06524