Priyanka, Anshima Singh, Sunil Kumar, Jesus Vigo-Aguiar
{"title":"A Fast High-Order Nonpolynomial Spline Method for Nonlinear Time-Fractional Telegraph Model for Neutron Transport in a Nuclear Reactor","authors":"Priyanka, Anshima Singh, Sunil Kumar, Jesus Vigo-Aguiar","doi":"10.1002/mma.10840","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>The aim of the present study is to develop a fast high-order method for a nonlinear time-fractional telegraph model for neutron transport in a nuclear reactor. The discretization of the model involves the utilization of a fast Alikhanov formula for the time-fractional derivative and a high-order nonpolynomial spline scheme for the spatial variable. The proposed algorithm is computationally efficient with computational cost of \n<span></span><math>\n <mrow>\n <mi>𝒪</mi>\n <mo>(</mo>\n <mi>M</mi>\n <mi>N</mi>\n <msup>\n <mrow>\n <mi>log</mi>\n </mrow>\n <mrow>\n <mn>2</mn>\n </mrow>\n </msup>\n <mi>N</mi>\n <mo>)</mo>\n </mrow></math> and a storage requirement of \n<span></span><math>\n <mrow>\n <mi>𝒪</mi>\n <mo>(</mo>\n <mi>M</mi>\n <msup>\n <mrow>\n <mi>log</mi>\n </mrow>\n <mrow>\n <mn>2</mn>\n </mrow>\n </msup>\n <mi>N</mi>\n <mo>)</mo>\n </mrow></math>, where \n<span></span><math>\n <semantics>\n <mrow>\n <mi>M</mi>\n </mrow>\n <annotation>$$ M $$</annotation>\n </semantics></math> and \n<span></span><math>\n <semantics>\n <mrow>\n <mi>N</mi>\n </mrow>\n <annotation>$$ N $$</annotation>\n </semantics></math> represent the total number of grids in space and time, respectively. The stability and convergence of the developed method are established using the discrete energy approach in the \n<span></span><math>\n <semantics>\n <mrow>\n <msub>\n <mrow>\n <mi>L</mi>\n </mrow>\n <mrow>\n <mn>2</mn>\n </mrow>\n </msub>\n </mrow>\n <annotation>$$ {L}_2 $$</annotation>\n </semantics></math> norm. It is proved that the developed method converges with an order of \n<span></span><math>\n <mrow>\n <mi>𝒪</mi>\n <mo>(</mo>\n <msup>\n <mrow>\n <mi>τ</mi>\n </mrow>\n <mrow>\n <mn>2</mn>\n </mrow>\n </msup>\n <mo>,</mo>\n <msup>\n <mrow>\n <mi>h</mi>\n </mrow>\n <mrow>\n <mn>4</mn>\n <mo>.</mo>\n <mn>5</mn>\n </mrow>\n </msup>\n <mo>,</mo>\n <mover>\n <mrow>\n <mi>ϵ</mi>\n </mrow>\n <mo>˜</mo>\n </mover>\n <mo>)</mo>\n <mo>,</mo>\n </mrow></math> where \n<span></span><math>\n <semantics>\n <mrow>\n <mi>τ</mi>\n </mrow>\n <annotation>$$ \\tau $$</annotation>\n </semantics></math> and \n<span></span><math>\n <semantics>\n <mrow>\n <mi>h</mi>\n </mrow>\n <annotation>$$ h $$</annotation>\n </semantics></math> represent the step sizes in time and space, respectively. The term \n<span></span><math>\n <semantics>\n <mrow>\n <mover>\n <mrow>\n <mi>ϵ</mi>\n </mrow>\n <mo>˜</mo>\n </mover>\n </mrow>\n <annotation>$$ \\tilde{\\epsilon} $$</annotation>\n </semantics></math> represents the approximation error introduced by the fast sum-of-exponentials approximation. The numerical simulations validate the theoretical convergence outcome and showcase the effectiveness of the proposed approach.</p>\n </div>","PeriodicalId":49865,"journal":{"name":"Mathematical Methods in the Applied Sciences","volume":"48 9","pages":"9751-9769"},"PeriodicalIF":2.1000,"publicationDate":"2025-03-05","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.10840","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
The aim of the present study is to develop a fast high-order method for a nonlinear time-fractional telegraph model for neutron transport in a nuclear reactor. The discretization of the model involves the utilization of a fast Alikhanov formula for the time-fractional derivative and a high-order nonpolynomial spline scheme for the spatial variable. The proposed algorithm is computationally efficient with computational cost of
and a storage requirement of
, where
and
represent the total number of grids in space and time, respectively. The stability and convergence of the developed method are established using the discrete energy approach in the
norm. It is proved that the developed method converges with an order of
where
and
represent the step sizes in time and space, respectively. The term
represents the approximation error introduced by the fast sum-of-exponentials approximation. The numerical simulations validate the theoretical convergence outcome and showcase the effectiveness of the proposed approach.
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.
Mathematical Methods in the Applied Sciences is an interdisciplinary journal: therefore, all manuscripts must be written to be accessible to a broad scientific but mathematically advanced audience. All papers must contain carefully written introduction and conclusion sections, which should include a clear exposition of the underlying scientific problem, a summary of the mathematical results and the tools used in deriving the results. Furthermore, the scientific importance of the manuscript and its conclusions should be made clear. Papers dealing with numerical processes or which contain only the application of well established methods will not be accepted.
Because of the broad scope of the journal, authors should minimize the use of technical jargon from their subfield in order to increase the accessibility of their paper and appeal to a wider readership. If technical terms are necessary, authors should define them clearly so that the main ideas are understandable also to readers not working in the same subfield.