MODELLING, ANALYSIS, AND NUMERICAL METHODS FOR A GEOMETRIC INVERSE SOURCE PROBLEM IN VARIABLE-ORDER TIME-FRACTIONAL SUBDIFFUSION

  • Wei Fan
  • , Xindi Hu*
  • , Shengfeng Zhu
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

There exist research works on studying time-dependent integerorder and time-fractional constant-order geometric inverse source problems in the literature. The time-fractional variable-order geometric inverse source problems although also have important physical applications have not been studied mathematically and numerically in literature. The aim of this work is to study an inverse source problem associated with a variable-order timefractional subdiffusion equation. We first build a mathematical model and show existence of the optimal shape for shape reconstruction of the source support. Then, shape sensitivity analysis is performed to propose a shape gradient optimization algorithm allowing deformations for numerically solving the model problem. In order to reconstruct the source support with topology unknown a priori, moreover, we build a phase-field model and propose a gradient algorithm allowing both shape and topological changes by a phase-field method. A variety of numerical examples are presented to demonstrate effectiveness of the two algorithms.

Original languageEnglish
Pages (from-to)767-797
Number of pages31
JournalInverse Problems and Imaging
Volume17
Issue number4
DOIs
StatePublished - Aug 2023

Keywords

  • Shape optimization
  • inverse source
  • phase-field method
  • time-fractional
  • variable-order

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