Numerical analysis and efficient implementation of fast collocation methods for fractional Laplacian model on nonuniform grids

Fuente: arXiv
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Main Authors: Kong, Meijie, Fu, Hongfei
Format: Preprint
Published: 2025
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author Kong, Meijie
Fu, Hongfei
author_facet Kong, Meijie
Fu, Hongfei
contents We propose a fast collocation method based on Krylov subspace iterative solver on general nonuniform grids for the fractional Laplacian problem, in which the fractional operator is presented in a singular integral formulation. The method is proved to be uniquely solvable on general nonuniform grids for $α\in(0,1)$, provided that the sum-of-exponentials (SOE) approximation is sufficiently accurate. In addition, a modified scheme is developed and proved to be uniquely solvable on uniform grids for $α\in(0,2)$. Efficient implementation of the proposed fast collocation schemes based on fast matrix-vector multiplication is carefully discussed, in terms of computational complexity and memory requirement. To further improve computational efficiency, a banded preconditioner is incorporated into the Krylov subspace iterative solver. A rigorous maximum-norm error analysis for $α\in(0,1)$ is presented on specific graded grids, which shows that the convergence order depends on the grading parameter. Numerical experiments validate the predicted convergence and demonstrate the efficiency of the fast collocation schemes.
format Preprint
id arxiv_https___arxiv_org_abs_2511_09367
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Numerical analysis and efficient implementation of fast collocation methods for fractional Laplacian model on nonuniform grids
Kong, Meijie
Fu, Hongfei
Numerical Analysis
We propose a fast collocation method based on Krylov subspace iterative solver on general nonuniform grids for the fractional Laplacian problem, in which the fractional operator is presented in a singular integral formulation. The method is proved to be uniquely solvable on general nonuniform grids for $α\in(0,1)$, provided that the sum-of-exponentials (SOE) approximation is sufficiently accurate. In addition, a modified scheme is developed and proved to be uniquely solvable on uniform grids for $α\in(0,2)$. Efficient implementation of the proposed fast collocation schemes based on fast matrix-vector multiplication is carefully discussed, in terms of computational complexity and memory requirement. To further improve computational efficiency, a banded preconditioner is incorporated into the Krylov subspace iterative solver. A rigorous maximum-norm error analysis for $α\in(0,1)$ is presented on specific graded grids, which shows that the convergence order depends on the grading parameter. Numerical experiments validate the predicted convergence and demonstrate the efficiency of the fast collocation schemes.
title Numerical analysis and efficient implementation of fast collocation methods for fractional Laplacian model on nonuniform grids
topic Numerical Analysis
url https://arxiv.org/abs/2511.09367