2019
DOI: 10.48550/arxiv.1911.00304
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Reconstruction of the time-dependent source term in a stochastic fractional diffusion equation

Abstract: In this work, an inverse problem in the fractional diffusion equation with random source is considered. Statistical moments are used of the realizations of single point observation u(x 0 , t, ω). We build the representation of the solution u in integral sense, then prove some theoretical results as uniqueness and stability. After that, we establish a numerical algorithm to solve the unknowns, where the mollification method is used.

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Cited by 1 publication
(2 citation statements)
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“…Our data is the moments of the realizations of u on a single point x 0 ∈ D with the restriction x 0 / ∈ supp(f ), which is different from [31]. This condition will make the inverse problem more challenging in mathematics, but is meaningful in practical application.…”
Section: Mathematical Statementmentioning
confidence: 99%
See 1 more Smart Citation
“…Our data is the moments of the realizations of u on a single point x 0 ∈ D with the restriction x 0 / ∈ supp(f ), which is different from [31]. This condition will make the inverse problem more challenging in mathematics, but is meaningful in practical application.…”
Section: Mathematical Statementmentioning
confidence: 99%
“…Remark 1. In [31], the authors use integration by parts on the right side of ( 7) to deduce the following second kind Volterra equations,…”
Section: Moments Representationmentioning
confidence: 99%