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UCL Discovery
Article . 2023
Data sources: UCL Discovery
Communications in Mathematical Sciences
Article . 2023 . Peer-reviewed
Data sources: Crossref
https://dx.doi.org/10.48550/ar...
Article . 2022
License: CC BY NC SA
Data sources: Datacite
DBLP
Preprint . 2022
Data sources: DBLP
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Recovery of a distributed order fractional derivative in an unknown medium

Authors: Jin, B; Kian, Y;

Recovery of a distributed order fractional derivative in an unknown medium

Abstract

In this work, we study an inverse problem of recovering information about the weight in distributed-order time-fractional diffusion from the observation at one single point on the domain boundary. In the absence of an explicit knowledge of the medium, we prove that the one-point observation can uniquely determine the support bound of the weight. The proof is based on asymptotics of the data, analytic continuation and Titchmarch convolution theorem. When the medium is known, we give an alternative proof of an existing result, i.e., the one-point boundary observation uniquely determines the weight. Several numerical experiments are also presented to complement the analysis.

23 pages, 3 figures, accepted to Comm. Math. Sci

Country
United Kingdom
Keywords

Distributed order, reconstruction, Mathematics - Analysis of PDEs, weight recovery, time-fractional diffusion, FOS: Mathematics, Mathematics - Numerical Analysis, Numerical Analysis (math.NA), ultra-slow diffusion, Analysis of PDEs (math.AP)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green