A REGULARIZATION METHOD FOR BACKWARD PROBLEMS OF SINGULARLY PERTURBED PARABOLIC AND FRACTIONAL DIFFUSION EQUATIONS

In this paper, backward problems of singularly perturbed parabolic and fractional diffusion equations are studied from the additional temperature data at fixed time $ t=T$. We analyze the ill-posedness of these two inverse problems, and apply the quasi-reversibility regularization method to solve these problems. Then we obtain the convergence rates of logarithmic and Hölder types for the backward problems. Finally, several one- and two-dimensional numerical examples are given to verify the effectiveness and feasibility of the proposed method.

Authors

Publication Details

Journal
Journal of Applied Analysis & Computation
Published
2025-01-01
DOI
https://doi.org/10.11948/20240424
Citations
1
Primary Topic
Differential Equations and Numerical Methods
Type
article
Field-Weighted Citation Impact
2.63
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article

A REGULARIZATION METHOD FOR BACKWARD PROBLEMS OF SINGULARLY PERTURBED PARABOLIC AND FRACTIONAL DIFFUSION EQUATIONS

Donal O'Regan, Xue-Juan Ren, Jin Wen, Yunlong Liu
1 citations
Journal of Applied Analysis & Computation
Differential Equations and Numerical Methods
2.63
article

A REGULARIZATION METHOD FOR BACKWARD PROBLEMS OF SINGULARLY PERTURBED PARABOLIC AND FRACTIONAL DIFFUSION EQUATIONS

Donal O'Regan, Xue-Juan Ren, Jin Wen, Yunlong Liu
article en
1 citations

Abstract

In this paper, backward problems of singularly perturbed parabolic and fractional diffusion equations are studied from the additional temperature data at fixed time $ t=T$. We analyze the ill-posedness of these two inverse problems, and apply the quasi-reversibility regularization method to solve these problems. Then we obtain the convergence rates of logarithmic and Hölder types for the backward problems. Finally, several one- and two-dimensional numerical examples are given to verify the effectiveness and feasibility of the proposed method.

Journal of Applied Analysis & ComputationVol. 15(4)
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Differential Equations and Numerical Methods
2.63
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