Rational Krylov methods for fractional diffusion problems on graphs

Author:

Benzi Michele,Simunec IgorORCID

Abstract

AbstractIn this paper we propose a method to compute the solution to the fractional diffusion equation on directed networks, which can be expressed in terms of the graph Laplacian L as a product $$f(L^T) \varvec{b}$$ f ( L T ) b , where f is a non-analytic function involving fractional powers and $$\varvec{b}$$ b is a given vector. The graph Laplacian is a singular matrix, causing Krylov methods for $$f(L^T) \varvec{b}$$ f ( L T ) b to converge more slowly. In order to overcome this difficulty and achieve faster convergence, we use rational Krylov methods applied to a desingularized version of the graph Laplacian, obtained with either a rank-one shift or a projection on a subspace.

Funder

Scuola Normale Superiore

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computational Mathematics,Computer Networks and Communications,Software

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Error bounds for the approximation of matrix functions with rational Krylov methods;Numerical Linear Algebra with Applications;2024-07

2. Adaptive Rational Krylov Methods for Exponential Runge–Kutta Integrators;SIAM Journal on Matrix Analysis and Applications;2024-03-05

3. Computation of the von Neumann entropy of large matrices via trace estimators and rational Krylov methods;Numerische Mathematik;2023-09-28

4. Krylov Subspace Restarting for Matrix Laplace Transforms;SIAM Journal on Matrix Analysis and Applications;2023-05-19

5. Nonlocal diffusion of variable order on complex networks;International Journal of Computer Mathematics: Computer Systems Theory;2022-07-03

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