Two fractional regularization methods for identifying the radiogenic source of the Helium production-diffusion equation

The predication of the helium diffusion concentration as a function of a source term in diffusion equation is an ill-posed problem. This is called inverse radiogenic source problem. Although some classical regularization methods have been considered for this problem, we propose two new fractional re...

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Bibliographic Details
Published inAIMS mathematics Vol. 6; no. 10; pp. 11425 - 11448
Main Authors Xue, Xuemin, Xiong, Xiangtuan, Zhang, Yuanxiang
Format Journal Article
LanguageEnglish
Published AIMS Press 01.01.2021
Subjects
error estimates
fractional regularization methods
inverse radiogenic source problem
regularization parameter choice rules
regularized solution
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Summary:The predication of the helium diffusion concentration as a function of a source term in diffusion equation is an ill-posed problem. This is called inverse radiogenic source problem. Although some classical regularization methods have been considered for this problem, we propose two new fractional regularization methods for the purpose of reducing the over-smoothing of the classical regularized solution. The corresponding error estimates are proved under the a-priori and the a-posteriori regularization parameter choice rules. Some numerical examples are shown to display the necessarity of the methods.
ISSN:2473-6988
2473-6988
DOI:10.3934/math.2021662