A Spectral Cut‐Off Regularization Method for the Nonlinear Space‐Time Fractional Diffusion Equation With Noisy Data

ABSTRACT In this paper, we investigate the initial value problem for a nonlinear space‐time‐fractional diffusion equation with a Caputo time‐fractional derivative of order , a fractional Laplacian of order , and a nonlinear source term . Since the problem is ill‐posed, we propose a spectral cut‐off regularization method to solve the problem in a stable way. The regularized problem is proved to be well‐posed. Then, we obtain some error estimates between the exact solution and the regularized solution. We also propose a numerical algorithm to solve the regularization problem numerically. The numerical algorithm is proved to converge to the regularized solution with an error of , where is the time step, is the number of Fourier modes, and . Numerical examples in one and two dimensional spaces confirm our theoretical results of convergent rates, show the robustness of the algorithm under significant noise levels.

Authors

Institutions

Publication Details

Journal
Numerical Methods for Partial Differential Equations
Published
2026-06-18
DOI
https://doi.org/10.1002/num.70114
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

A Spectral Cut‐Off Regularization Method for the Nonlinear Space‐Time Fractional Diffusion Equation With Noisy Data

Nguyen Van Duc, Pham Quy Muoi, Nguyen Van Thang
Numerical Methods for Partial Differential Equations
Fractional Differential Equations Solutions
article

A Spectral Cut‐Off Regularization Method for the Nonlinear Space‐Time Fractional Diffusion Equation With Noisy Data

Nguyen Van Duc, Pham Quy Muoi, Nguyen Van Thang
article en

Abstract

ABSTRACT In this paper, we investigate the initial value problem for a nonlinear space‐time‐fractional diffusion equation with a Caputo time‐fractional derivative of order , a fractional Laplacian of order , and a nonlinear source term . Since the problem is ill‐posed, we propose a spectral cut‐off regularization method to solve the problem in a stable way. The regularized problem is proved to be well‐posed. Then, we obtain some error estimates between the exact solution and the regularized solution. We also propose a numerical algorithm to solve the regularization problem numerically. The numerical algorithm is proved to converge to the regularized solution with an error of , where is the time step, is the number of Fourier modes, and . Numerical examples in one and two dimensional spaces confirm our theoretical results of convergent rates, show the robustness of the algorithm under significant noise levels.

Numerical Methods for Partial Differential EquationsVol. 42(4)
Vinh University (VN), University of Da Nang (VN)
Openalex Percentile: Top 6%
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.