hp-version Galerkin time-stepping with Laguerre spectral methods for parabolic equations on semi-unbounded domains

IF 2.6 3区 数学 Q2 MATHEMATICS, APPLIED
Zhe Li, Jie Luo, Lijun Yi
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引用次数: 0

Abstract

We propose fully discrete numerical methods, high-order in both space and time, for solving parabolic equations on semi-unbounded domains. The spatial discretization uses a spectral method based on Laguerre functions, while the temporal discretization employs two distinct hp-version Galerkin time-stepping schemes: the continuous Petrov-Galerkin and the discontinuous Galerkin methods. A priori error estimates are derived in the \(L^2(0,T;H^1(\mathbb {R}_{+}))\)-norm, with all constants explicitly independent of the temporal and spatial discretization parameters. In the presence of singularities at \(t = 0\), exponential rates of convergence in time are obtained by using geometrically refined time meshes together with approximation degrees that increase linearly. Numerical experiments are conducted to verify the theoretical findings.

半无界区域上抛物方程的hp版Galerkin时间步进与Laguerre谱方法
我们提出了求解半无界区域上抛物方程的高阶全离散数值方法。空间离散化采用基于Laguerre函数的谱方法,时间离散化采用连续Petrov-Galerkin方法和不连续Galerkin方法两种不同的hp版Galerkin时间步进方法。先验误差估计在\(L^2(0,T;H^1(\mathbb {R}_{+}))\) -范数中推导,所有常数明确独立于时间和空间离散化参数。在\(t = 0\)存在奇点的情况下,通过使用几何细化的时间网格以及线性增加的近似度,可以获得时间上的指数收敛率。数值实验验证了理论结果。
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来源期刊
CiteScore
3.00
自引率
5.90%
发文量
68
审稿时长
3 months
期刊介绍: Advances in Computational Mathematics publishes high quality, accessible and original articles at the forefront of computational and applied mathematics, with a clear potential for impact across the sciences. The journal emphasizes three core areas: approximation theory and computational geometry; numerical analysis, modelling and simulation; imaging, signal processing and data analysis. This journal welcomes papers that are accessible to a broad audience in the mathematical sciences and that show either an advance in computational methodology or a novel scientific application area, or both. Methods papers should rely on rigorous analysis and/or convincing numerical studies.
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