{"title":"Sobolev-type regularization method for the backward diffusion equation with fractional Laplacian and time-dependent coefficient","authors":"Tran Thi Khieu, Tra Quoc Khanh","doi":"10.1002/mma.10425","DOIUrl":null,"url":null,"abstract":"<p>This work is concerned with an ill-posed problem of reconstructing the historical distribution of a backward diffusion equation with fractional Laplacian and time-dependent coefficient in multidimensional space. The investigated problem is regularized by a Sobolev-type equation method. Unlike previous works, to prove the convergence of the regularized solution to the exact one, we only require a very weak and natural a priori condition that the solution belongs to the standard Lebesgue space \n<span></span><math>\n <semantics>\n <mrow>\n <msup>\n <mrow>\n <mi>L</mi>\n </mrow>\n <mrow>\n <mn>2</mn>\n </mrow>\n </msup>\n <mo>(</mo>\n <msup>\n <mrow>\n <mi>ℝ</mi>\n </mrow>\n <mrow>\n <mi>d</mi>\n </mrow>\n </msup>\n <mo>)</mo>\n </mrow>\n <annotation>$$ {L}&amp;amp;#x0005E;2\\left({\\mathrm{\\mathbb{R}}}&amp;amp;#x0005E;d\\right) $$</annotation>\n </semantics></math>. This is done by suitably employing the Lebesgue-dominated convergence theorem. If we go further to impose a stronger a priori condition, one may know how fast the convergence is. Finally, some MATLAB-based numerical examples are provided to confirm the efficiency of the proposed method.</p>","PeriodicalId":49865,"journal":{"name":"Mathematical Methods in the Applied Sciences","volume":"48 2","pages":"2085-2101"},"PeriodicalIF":2.1000,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mathematical Methods in the Applied Sciences","FirstCategoryId":"100","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/mma.10425","RegionNum":3,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
This work is concerned with an ill-posed problem of reconstructing the historical distribution of a backward diffusion equation with fractional Laplacian and time-dependent coefficient in multidimensional space. The investigated problem is regularized by a Sobolev-type equation method. Unlike previous works, to prove the convergence of the regularized solution to the exact one, we only require a very weak and natural a priori condition that the solution belongs to the standard Lebesgue space
. This is done by suitably employing the Lebesgue-dominated convergence theorem. If we go further to impose a stronger a priori condition, one may know how fast the convergence is. Finally, some MATLAB-based numerical examples are provided to confirm the efficiency of the proposed method.
期刊介绍:
Mathematical Methods in the Applied Sciences publishes papers dealing with new mathematical methods for the consideration of linear and non-linear, direct and inverse problems for physical relevant processes over time- and space- varying media under certain initial, boundary, transition conditions etc. Papers dealing with biomathematical content, population dynamics and network problems are most welcome.
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