Identification of a Spatially-Dependent Variable Order in One-Dimensional Subdiffusion

Fuente: arXiv
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Hauptverfasser: Hong, Jiho, Jin, Bangti, Kian, Yavar
Format: Preprint
Veröffentlicht: 2024
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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 an inverse problem of identifying a spatially variable order in the one-dimensional subdiffusion model from the boundary flux measurement. The model involves a generalized Caputo derivative in time, and arises in the mathematical modeling of anomalous diffusion in heterogeneous media. We prove the unique recovery of a monotone piecewise constant variable order and its range for known and unknown media, respectively. The analysis is based on a delicate asymptotic expansion of the Laplace transform of the data as $p\to0$, which is of independent interest.
format Preprint
id arxiv_https___arxiv_org_abs_2407_02193
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Identification of a Spatially-Dependent Variable Order in One-Dimensional Subdiffusion
Hong, Jiho
Jin, Bangti
Kian, Yavar
Analysis of PDEs
In this work we investigate an inverse problem of identifying a spatially variable order in the one-dimensional subdiffusion model from the boundary flux measurement. The model involves a generalized Caputo derivative in time, and arises in the mathematical modeling of anomalous diffusion in heterogeneous media. We prove the unique recovery of a monotone piecewise constant variable order and its range for known and unknown media, respectively. The analysis is based on a delicate asymptotic expansion of the Laplace transform of the data as $p\to0$, which is of independent interest.
title Identification of a Spatially-Dependent Variable Order in One-Dimensional Subdiffusion
topic Analysis of PDEs
url https://arxiv.org/abs/2407.02193