{"title":"在非均匀网格上采用完全离散的 L2-version 紧凑差分法求解四阶次扩散方程的长时间 H1 准则稳定性和次优收敛性","authors":"Huifa Jiang , Emran Tohidi","doi":"10.1016/j.amc.2025.129465","DOIUrl":null,"url":null,"abstract":"<div><div>This study introduces a designed <em>L</em>2 compact approach for the fourth-order subdiffusion models on general nonuniform meshes. Initially, we establish long-time <span><math><msup><mrow><mi>H</mi></mrow><mrow><mn>1</mn></mrow></msup></math></span>-stability and estimation of the error for the <em>L</em>2 compact approach under general nonuniform meshes, imposing only mild conditions on the time step ratio <span><math><msub><mrow><mi>ρ</mi></mrow><mrow><mi>k</mi></mrow></msub></math></span>. This is achieved by leveraging the positive semidefiniteness of an essential bilinear form linked to the operator of <em>L</em>2 fractional derivative discussed by Quan and Wu (2023) <span><span>[26]</span></span>. Subsequently, we proceed to discretize the spatial differentiation using the compact difference approach, resulting in a fully discrete scheme that achieves the convergence of fourth-order for the space variable. Additionally, we demonstrate that the rate of convergence in the <span><math><msup><mrow><mi>H</mi></mrow><mrow><mn>1</mn></mrow></msup></math></span>-norm is the half of <span><math><mo>(</mo><mn>5</mn><mo>−</mo><mi>α</mi><mo>)</mo></math></span> for the improved graded mesh grids. Lastly, we conduct some numerical experiments to validate the robustness and competitiveness of our suggested approach.</div></div>","PeriodicalId":55496,"journal":{"name":"Applied Mathematics and Computation","volume":"501 ","pages":"Article 129465"},"PeriodicalIF":3.5000,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Long time H1-norm stability and suboptimal convergence of a fully discrete L2-version compact difference method on nonuniform mesh grids to solve fourth-order subdiffusion equations\",\"authors\":\"Huifa Jiang , Emran Tohidi\",\"doi\":\"10.1016/j.amc.2025.129465\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This study introduces a designed <em>L</em>2 compact approach for the fourth-order subdiffusion models on general nonuniform meshes. Initially, we establish long-time <span><math><msup><mrow><mi>H</mi></mrow><mrow><mn>1</mn></mrow></msup></math></span>-stability and estimation of the error for the <em>L</em>2 compact approach under general nonuniform meshes, imposing only mild conditions on the time step ratio <span><math><msub><mrow><mi>ρ</mi></mrow><mrow><mi>k</mi></mrow></msub></math></span>. This is achieved by leveraging the positive semidefiniteness of an essential bilinear form linked to the operator of <em>L</em>2 fractional derivative discussed by Quan and Wu (2023) <span><span>[26]</span></span>. Subsequently, we proceed to discretize the spatial differentiation using the compact difference approach, resulting in a fully discrete scheme that achieves the convergence of fourth-order for the space variable. Additionally, we demonstrate that the rate of convergence in the <span><math><msup><mrow><mi>H</mi></mrow><mrow><mn>1</mn></mrow></msup></math></span>-norm is the half of <span><math><mo>(</mo><mn>5</mn><mo>−</mo><mi>α</mi><mo>)</mo></math></span> for the improved graded mesh grids. Lastly, we conduct some numerical experiments to validate the robustness and competitiveness of our suggested approach.</div></div>\",\"PeriodicalId\":55496,\"journal\":{\"name\":\"Applied Mathematics and Computation\",\"volume\":\"501 \",\"pages\":\"Article 129465\"},\"PeriodicalIF\":3.5000,\"publicationDate\":\"2025-04-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Mathematics and Computation\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0096300325001924\",\"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":"Applied Mathematics and Computation","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0096300325001924","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
Long time H1-norm stability and suboptimal convergence of a fully discrete L2-version compact difference method on nonuniform mesh grids to solve fourth-order subdiffusion equations
This study introduces a designed L2 compact approach for the fourth-order subdiffusion models on general nonuniform meshes. Initially, we establish long-time -stability and estimation of the error for the L2 compact approach under general nonuniform meshes, imposing only mild conditions on the time step ratio . This is achieved by leveraging the positive semidefiniteness of an essential bilinear form linked to the operator of L2 fractional derivative discussed by Quan and Wu (2023) [26]. Subsequently, we proceed to discretize the spatial differentiation using the compact difference approach, resulting in a fully discrete scheme that achieves the convergence of fourth-order for the space variable. Additionally, we demonstrate that the rate of convergence in the -norm is the half of for the improved graded mesh grids. Lastly, we conduct some numerical experiments to validate the robustness and competitiveness of our suggested approach.
期刊介绍:
Applied Mathematics and Computation addresses work at the interface between applied mathematics, numerical computation, and applications of systems – oriented ideas to the physical, biological, social, and behavioral sciences, and emphasizes papers of a computational nature focusing on new algorithms, their analysis and numerical results.
In addition to presenting research papers, Applied Mathematics and Computation publishes review articles and single–topics issues.