Determining a time‐varying potential in time‐fractional diffusion from observation at a single point

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Autori principali: Siyu Cen, Kwancheol Shin, Zhi Zhou
Natura: Artículo Open Access
Pubblicazione: Wiley 2024
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author Siyu Cen
Kwancheol Shin
Zhi Zhou
author_facet Siyu Cen
Kwancheol Shin
Zhi Zhou
Siyu Cen
Kwancheol Shin
Zhi Zhou
collection Wiley Open Access
contents Determining a time‐varying potential in time‐fractional diffusion from observation at a single point Siyu Cen Kwancheol Shin Zhi Zhou Numerical Methods for Partial Differential Equations AbstractWe discuss the identification of a time‐dependent potential in a time‐fractional diffusion model from a boundary measurement taken at a single point. Theoretically, we establish a conditional Lipschitz stability for this inverse problem. Numerically, we develop an easily implementable iterative algorithm to recover the unknown coefficient, and also derive rigorous error bounds for the discrete reconstruction. These results are attained by leveraging the (discrete) solution theory of direct problems, and applying error estimates that are optimal with respect to problem data regularity. Numerical simulations are provided to demonstrate the theoretical results. 10.1002/num.23136 http://creativecommons.org/licenses/by-nc/4.0/
doi_str_mv 10.1002/num.23136
format Artículo Open Access
id wiley_oa_10_1002_num_23136
institution Wiley Open Access
license_str_mv http://creativecommons.org/licenses/by-nc/4.0/
publishDate 2024
publisher Wiley
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spellingShingle Determining a time‐varying potential in time‐fractional diffusion from observation at a single point
Siyu Cen
Kwancheol Shin
Zhi Zhou
Numerical Methods for Partial Differential Equations
Determining a time‐varying potential in time‐fractional diffusion from observation at a single point Siyu Cen Kwancheol Shin Zhi Zhou Numerical Methods for Partial Differential Equations AbstractWe discuss the identification of a time‐dependent potential in a time‐fractional diffusion model from a boundary measurement taken at a single point. Theoretically, we establish a conditional Lipschitz stability for this inverse problem. Numerically, we develop an easily implementable iterative algorithm to recover the unknown coefficient, and also derive rigorous error bounds for the discrete reconstruction. These results are attained by leveraging the (discrete) solution theory of direct problems, and applying error estimates that are optimal with respect to problem data regularity. Numerical simulations are provided to demonstrate the theoretical results. 10.1002/num.23136 http://creativecommons.org/licenses/by-nc/4.0/
title Determining a time‐varying potential in time‐fractional diffusion from observation at a single point
topic Numerical Methods for Partial Differential Equations
url https://onlinelibrary.wiley.com/doi/10.1002/num.23136