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Recovering Multiple Fractional Orders in Time-Fractional Diffusion in an Unknown Medium

Jin, B; Kian, Y; (2021) Recovering Multiple Fractional Orders in Time-Fractional Diffusion in an Unknown Medium. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences , 477 (2253) , Article 20210468. 10.1098/rspa.2021.0468. Green open access

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Abstract

In this work, we investigate an inverse problem of recovering multiple orders in a time-fractional diffusion model from the data observed at one single point on the boundary. We prove the unique recovery of the orders together with their weights, which does not require a full knowledge of the domain or medium properties, e.g. diffusion and potential coefficients, initial condition and source in the model. The proof is based on Laplace transform and asymptotic expansion. Furthermore, inspired by the analysis, we propose a numerical procedure for recovering these parameters based on a nonlinear least-squares fitting with either fractional polynomials or rational approximations as the model function, and provide numerical experiments to illustrate the approach for small time t.

Type: Article
Title: Recovering Multiple Fractional Orders in Time-Fractional Diffusion in an Unknown Medium
Open access status: An open access version is available from UCL Discovery
DOI: 10.1098/rspa.2021.0468
Publisher version: https://doi.org/10.1098/rspa.2021.0468
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Order recovery, time-fractional diffusion, multi-order, uniqueness, inverse problem
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10133488
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