{"title":"时间分数型Fokker-Planck方程的连续Petrov-Galerkin方法","authors":"Zemian Zhang , Yanping Chen , Yunqing Huang , Jian Huang , Yanping Zhou","doi":"10.1016/j.cam.2025.116689","DOIUrl":null,"url":null,"abstract":"<div><div>A continuous Petrov–Galerkin (CPG) method for the time discretization of a time-fractional Fokker–Planck equation with a general driving force involving fractional exponent <span><math><mrow><mi>α</mi><mo>∈</mo><mrow><mo>(</mo><mn>0</mn><mo>,</mo><mn>1</mn><mo>)</mo></mrow></mrow></math></span> is proposed. An <span><math><mi>α</mi></math></span>-robust stability bound for the time discrete solution is obtained for <span><math><mrow><mi>α</mi><mo>∈</mo><mrow><mo>(</mo><mn>1</mn><mo>/</mo><mn>2</mn><mo>,</mo><mn>1</mn><mo>)</mo></mrow></mrow></math></span>. Regarding error analysis, time-graded meshes are utilized to address the singular behavior of the continuous solution near origin. We present the nodal error estimate with non-uniform time meshes and obtain the optimal second-order accurate estimate for <span><math><mrow><mi>α</mi><mo>∈</mo><mrow><mo>(</mo><mn>1</mn><mo>/</mo><mn>2</mn><mo>,</mo><mn>1</mn><mo>)</mo></mrow></mrow></math></span>. The fully-discrete scheme by employing standard (continuous) finite element method in space is considered, and the corresponding error is estimated. Numerical experiments demonstrate that the assumptions of time-graded meshes can be further relaxed, and the results exhibit second-order accuracy for <span><math><mrow><mi>α</mi><mo>∈</mo><mrow><mo>(</mo><mn>0</mn><mo>,</mo><mn>1</mn><mo>)</mo></mrow></mrow></math></span>.</div></div>","PeriodicalId":50226,"journal":{"name":"Journal of Computational and Applied Mathematics","volume":"470 ","pages":"Article 116689"},"PeriodicalIF":2.1000,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A continuous Petrov–Galerkin method for time-fractional Fokker–Planck equation\",\"authors\":\"Zemian Zhang , Yanping Chen , Yunqing Huang , Jian Huang , Yanping Zhou\",\"doi\":\"10.1016/j.cam.2025.116689\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>A continuous Petrov–Galerkin (CPG) method for the time discretization of a time-fractional Fokker–Planck equation with a general driving force involving fractional exponent <span><math><mrow><mi>α</mi><mo>∈</mo><mrow><mo>(</mo><mn>0</mn><mo>,</mo><mn>1</mn><mo>)</mo></mrow></mrow></math></span> is proposed. An <span><math><mi>α</mi></math></span>-robust stability bound for the time discrete solution is obtained for <span><math><mrow><mi>α</mi><mo>∈</mo><mrow><mo>(</mo><mn>1</mn><mo>/</mo><mn>2</mn><mo>,</mo><mn>1</mn><mo>)</mo></mrow></mrow></math></span>. Regarding error analysis, time-graded meshes are utilized to address the singular behavior of the continuous solution near origin. We present the nodal error estimate with non-uniform time meshes and obtain the optimal second-order accurate estimate for <span><math><mrow><mi>α</mi><mo>∈</mo><mrow><mo>(</mo><mn>1</mn><mo>/</mo><mn>2</mn><mo>,</mo><mn>1</mn><mo>)</mo></mrow></mrow></math></span>. The fully-discrete scheme by employing standard (continuous) finite element method in space is considered, and the corresponding error is estimated. Numerical experiments demonstrate that the assumptions of time-graded meshes can be further relaxed, and the results exhibit second-order accuracy for <span><math><mrow><mi>α</mi><mo>∈</mo><mrow><mo>(</mo><mn>0</mn><mo>,</mo><mn>1</mn><mo>)</mo></mrow></mrow></math></span>.</div></div>\",\"PeriodicalId\":50226,\"journal\":{\"name\":\"Journal of Computational and Applied Mathematics\",\"volume\":\"470 \",\"pages\":\"Article 116689\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2025-04-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Computational and Applied Mathematics\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0377042725002031\",\"RegionNum\":2,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MATHEMATICS, APPLIED\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Computational and Applied Mathematics","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0377042725002031","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
A continuous Petrov–Galerkin method for time-fractional Fokker–Planck equation
A continuous Petrov–Galerkin (CPG) method for the time discretization of a time-fractional Fokker–Planck equation with a general driving force involving fractional exponent is proposed. An -robust stability bound for the time discrete solution is obtained for . Regarding error analysis, time-graded meshes are utilized to address the singular behavior of the continuous solution near origin. We present the nodal error estimate with non-uniform time meshes and obtain the optimal second-order accurate estimate for . The fully-discrete scheme by employing standard (continuous) finite element method in space is considered, and the corresponding error is estimated. Numerical experiments demonstrate that the assumptions of time-graded meshes can be further relaxed, and the results exhibit second-order accuracy for .
期刊介绍:
The Journal of Computational and Applied Mathematics publishes original papers of high scientific value in all areas of computational and applied mathematics. The main interest of the Journal is in papers that describe and analyze new computational techniques for solving scientific or engineering problems. Also the improved analysis, including the effectiveness and applicability, of existing methods and algorithms is of importance. The computational efficiency (e.g. the convergence, stability, accuracy, ...) should be proved and illustrated by nontrivial numerical examples. Papers describing only variants of existing methods, without adding significant new computational properties are not of interest.
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