Inverse Coefficient Problem for One-Dimensional Subdiffusion with Data on Disjoint Sets in Time

Fuente: arXiv
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Auteurs principaux: Cen, Siyu, Jin, Bangti, Kian, Yavar, Soccorsi, Eric, Zarouf, Rachid, Zhou, Zhi
Format: Preprint
Publié: 2024
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author Cen, Siyu
Jin, Bangti
Kian, Yavar
Soccorsi, Eric
Zarouf, Rachid
Zhou, Zhi
author_facet Cen, Siyu
Jin, Bangti
Kian, Yavar
Soccorsi, Eric
Zarouf, Rachid
Zhou, Zhi
contents In this work we investigate an inverse coefficient problem for the one-dimensional subdiffusion model, which involves a Caputo fractional derivative in time. The inverse problem is to determine two coefficients and multiple parameters (the order, and length of the interval) from one pair of lateral Cauchy data. The lateral Cauchy data are given on disjoint sets in time with a single excitation and the measurement is made on a time sequence located outside the support of the excitation. We prove two uniqueness results for different lateral Cauchy data. The analysis is based on the solution representation, analyticity of the observation and a refined version of inverse Sturm-Liouville theory due to Sini [35]. Our results heavily exploit the memory effect of fractional diffusion for the unique recovery of the coefficients in the model. Several numerical experiments are also presented to complement the analysis.
format Preprint
id arxiv_https___arxiv_org_abs_2403_11599
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Inverse Coefficient Problem for One-Dimensional Subdiffusion with Data on Disjoint Sets in Time
Cen, Siyu
Jin, Bangti
Kian, Yavar
Soccorsi, Eric
Zarouf, Rachid
Zhou, Zhi
Analysis of PDEs
Numerical Analysis
In this work we investigate an inverse coefficient problem for the one-dimensional subdiffusion model, which involves a Caputo fractional derivative in time. The inverse problem is to determine two coefficients and multiple parameters (the order, and length of the interval) from one pair of lateral Cauchy data. The lateral Cauchy data are given on disjoint sets in time with a single excitation and the measurement is made on a time sequence located outside the support of the excitation. We prove two uniqueness results for different lateral Cauchy data. The analysis is based on the solution representation, analyticity of the observation and a refined version of inverse Sturm-Liouville theory due to Sini [35]. Our results heavily exploit the memory effect of fractional diffusion for the unique recovery of the coefficients in the model. Several numerical experiments are also presented to complement the analysis.
title Inverse Coefficient Problem for One-Dimensional Subdiffusion with Data on Disjoint Sets in Time
topic Analysis of PDEs
Numerical Analysis
url https://arxiv.org/abs/2403.11599