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Uniform convergence of V-cycle multigrid algorithms for two-dimensional fractional Feynman-Kac equation

机译:二维V-循环多重网格算法的一致收敛性   分数Feynman-Kac方程

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摘要

In this paper we derive new uniform convergence estimates for the V-cycle MGMapplied to symmetric positive definite Toeplitz block tridiagonal matrices, byalso discussing few connections with previous results. More concretely, thecontributions of this paper are as follows: (1) It tackles the Toeplitz systemsdirectly for the elliptic PDEs. (2) Simple (traditional) restriction operatorand prolongation operator are employed in order to handle general Toeplitzsystems at each level of the recursion. Such a technique is then applied tosystems of algebraic equations generated by the difference scheme of thetwo-dimensional fractional Feynman-Kac equation, which describes the jointprobability density function of non-Brownian motion. In particular, we considerthe two coarsening strategies, i.e., doubling the mesh size (geometric MGM) andGalerkin approach (algebraic MGM), which lead to the distinct coarseningstiffness matrices in the general case: however, several numerical experimentsshow that the two algorithms produce almost the same error behaviour.
机译:在本文中,我们还讨论了与先前结果的几个联系,从而得出了针对V型周期MG映射到对称正定Toeplitz块三对角矩阵的新一致收敛估计。更具体地说,本文的贡献如下:(1)它直接解决了椭圆PDE的Toeplitz系统。 (2)为了处理递归的每个级别上的通用Toeplitz系统,使用了简单(传统)限制算子和延长算子。然后将这种技术应用于由二维分数式Feynman-Kac方程的差分格式生成的代数方程组,该系统描述了非布朗运动的联合概率密度函数。特别是,我们考虑了两种粗化策略,即将网格尺寸加倍(几何MGM)和加勒金方法(代数MGM),这在一般情况下会导致截然不同的粗化刚度矩阵:但是,一些数值实验表明,两种算法几乎产生了相同的错误行为。

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