Optimal Error Estimates of Fast L1 Scheme for Variable‐Order Fractional Diffusion Equations

ABSTRACT This paper develops a fast finite difference scheme on graded meshes for variable‐order time‐fractional diffusion equations with weak initial singularities. The proposed method combines 1 approximation with the sum‐of‐exponentials technique for kernel approximation, achieving both high accuracy and computational efficiency. We establish sharp error estimates for the scheme and rigorously prove its numerical stability and convergence using maximum principle analysis. Numerical experiments confirm the theoretical results, demonstrating that the accelerated scheme maintains optimal convergence rates while significantly reducing computational costs compared to existing approaches.

Authors

Institutions

Publication Details

Journal
Mathematical Methods in the Applied Sciences
Published
2026-03-08
DOI
https://doi.org/10.1002/mma.70646
Primary Topic
Fractional Differential Equations Solutions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimal Error Estimates of Fast L1 Scheme for Variable‐Order Fractional Diffusion Equations

Xuefei He, Tianyi Li, J. Zhang
Mathematical Methods in the Applied Sciences
Fractional Differential Equations Solutions
article

Optimal Error Estimates of Fast L1 Scheme for Variable‐Order Fractional Diffusion Equations

Xuefei He, Tianyi Li, J. Zhang
article en

Abstract

ABSTRACT This paper develops a fast finite difference scheme on graded meshes for variable‐order time‐fractional diffusion equations with weak initial singularities. The proposed method combines 1 approximation with the sum‐of‐exponentials technique for kernel approximation, achieving both high accuracy and computational efficiency. We establish sharp error estimates for the scheme and rigorously prove its numerical stability and convergence using maximum principle analysis. Numerical experiments confirm the theoretical results, demonstrating that the accelerated scheme maintains optimal convergence rates while significantly reducing computational costs compared to existing approaches.

Mathematical Methods in the Applied Sciences
Xinyang Normal University (CN), University of Macau (MO), Wuhan University (CN), Hubei University (CN)
Openalex Percentile: Top 35%
Fractional Differential Equations Solutions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Optimal Error Estimates of Fast L1 Scheme for Variable‐Order Fractional Diffusion Equations — Xuefei He, Tianyi Li, et al. · Mathematical Methods in the Applied Sciences (2026) | TGRS Research Map | TGRS