Adaptive hyperbolic-cross-space mapped Jacobi method on unbounded domains with applications to solving multidimensional spatiotemporal integrodifferential equations

IF 3.8 2区 物理与天体物理 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Journal of Computational Physics Pub Date : 2024-10-10 DOI:10.1016/j.jcp.2024.113492
Yunhong Deng , Sihong Shao , Alex Mogilner , Mingtao Xia
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Abstract

In this paper, we develop a new adaptive hyperbolic-cross-space mapped Jacobi (AHMJ) method for solving multidimensional spatiotemporal integrodifferential equations in unbounded domains. By devising adaptive techniques for sparse mapped Jacobi spectral expansions defined in a hyperbolic cross space, our proposed AHMJ method can efficiently solve various spatiotemporal integrodifferential equations such as the anomalous diffusion model with reduced numbers of basis functions. Our analysis of the AHMJ method gives a uniform upper error bound for solving a class of spatiotemporal integrodifferential equations, leading to effective error control.
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无界域上的自适应双曲跨空间映射雅可比法及其在求解多维时空整微分方程中的应用
本文开发了一种新的自适应双曲交叉空间映射雅可比(AHMJ)方法,用于求解无界域中的多维时空整微分方程。通过设计定义在双曲交叉空间中的稀疏映射雅可比谱展开的自适应技术,我们提出的 AHMJ 方法可以高效地求解各种时空整微分方程,如减少基函数数量的反常扩散模型。我们对 AHMJ 方法的分析给出了求解一类时空微分方程的统一误差上限,从而实现了有效的误差控制。
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来源期刊
Journal of Computational Physics
Journal of Computational Physics 物理-计算机:跨学科应用
CiteScore
7.60
自引率
14.60%
发文量
763
审稿时长
5.8 months
期刊介绍: Journal of Computational Physics thoroughly treats the computational aspects of physical problems, presenting techniques for the numerical solution of mathematical equations arising in all areas of physics. The journal seeks to emphasize methods that cross disciplinary boundaries. The Journal of Computational Physics also publishes short notes of 4 pages or less (including figures, tables, and references but excluding title pages). Letters to the Editor commenting on articles already published in this Journal will also be considered. Neither notes nor letters should have an abstract.
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