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Identifying the Space Source Term Problem for Time-Space Diffusion Equation

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Date

2020

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Publisher

Springer

Open Access Color

GOLD

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No

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Top 10%
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Average
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Top 10%

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Abstract

In this paper, we consider an inverse source problem for the time-space-fractional diffusion equation. Here, in the sense of Hadamard, we prove that the problem is severely ill-posed. By applying the quasi-reversibility regularization method, we propose by this method to solve the problem (1.1). After that, we give an error estimate between the sought solution and regularized solution under a prior parameter choice rule and a posterior parameter choice rule, respectively. Finally, we present a numerical example to find that the proposed method works well.

Description

Rathinasamy, Sakthivel/0000-0002-5528-2709

Keywords

Inverse Source Problem, Time-Space-Fractional Diffusion Equation, Ill-Posed Problem, Convergence Estimates, Regularization Method, 35K05, 35K99, 47J06, 47H10X, Time-space-fractional diffusion equation, Artificial intelligence, Inverse Problems in Mathematical Physics and Imaging, Inverse Scattering Theory, Economics, Inverse Problems, Diffusion equation, Space (punctuation), Mathematical analysis, Quantum mechanics, Term (time), Engineering, Differential equation, Service (business), QA1-939, FOS: Mathematics, Regularization (linguistics), Anomalous Diffusion Modeling and Analysis, Mathematical Physics, Hadamard transform, Convergence estimates, Time-Fractional Diffusion Equation, Tikhonov regularization, Physics, Mathematical optimization, Inverse source problem, Partial differential equation, Economy, Applied mathematics, Computer science, Fracture Mechanics Modeling and Simulation, Operating system, Mechanics of Materials, Modeling and Simulation, Ill-posed problem, Physical Sciences, Inverse problem, Well-posed problem, Mathematics, Anomalous Diffusion, Ordinary differential equation, Regularization method, Inverse problems for PDEs, Fractional derivatives and integrals, time-space-fractional diffusion equation, regularization method, ill-posed problem, inverse source problem, convergence estimates, Fractional partial differential equations, Ill-posed problems for PDEs

Turkish CoHE Thesis Center URL

Fields of Science

02 engineering and technology, 01 natural sciences, 0202 electrical engineering, electronic engineering, information engineering, 0101 mathematics

Citation

WoS Q

Q1

Scopus Q

N/A
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OpenCitations Citation Count
10

Source

Advances in Difference Equations

Volume

2020

Issue

1

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Citations

Scopus : 18

Captures

Mendeley Readers : 2

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