Galerkin Finite Element Method for Caputo–Hadamard Time-Space Fractional Diffusion Equation

In this paper, we study the Caputo–Hadamard time-space fractional diffusion equation, where the Caputo derivative is defined in the temporal direction and the Hadamard derivative is defined in the spatial direction separately. We first use the Laplace transform and the modified Fourier transform to study the analytical solution of the Cauchy problem. Then, using the Galerkin finite element method in space, we generate a semi-discrete scheme and study the convergence analysis. Furthermore, using the L1 scheme of the Caputo derivative in time, we construct a fully discrete scheme and then discuss the stability and error estimation in detail. Finally, the numerical experiments are displaced to verify the theoretical results.

Authors

Institutions

Publication Details

Journal
Mathematics
Published
2024-11-29
DOI
https://doi.org/10.3390/math12233786
Citations
1
Primary Topic
Fractional Differential Equations Solutions
Type
article
Field-Weighted Citation Impact
0.40

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Galerkin Finite Element Method for Caputo–Hadamard Time-Space Fractional Diffusion Equation

Zhengang Zhao, Yunying Zheng
1 citations
Mathematics
Fractional Differential Equations Solutions
0.40
article

Galerkin Finite Element Method for Caputo–Hadamard Time-Space Fractional Diffusion Equation

Zhengang Zhao, Yunying Zheng
article en
1 citations

Abstract

In this paper, we study the Caputo–Hadamard time-space fractional diffusion equation, where the Caputo derivative is defined in the temporal direction and the Hadamard derivative is defined in the spatial direction separately. We first use the Laplace transform and the modified Fourier transform to study the analytical solution of the Cauchy problem. Then, using the Galerkin finite element method in space, we generate a semi-discrete scheme and study the convergence analysis. Furthermore, using the L1 scheme of the Caputo derivative in time, we construct a fully discrete scheme and then discuss the stability and error estimation in detail. Finally, the numerical experiments are displaced to verify the theoretical results.

MathematicsVol. 12(23)
Huaibei Normal University (CN), Shanghai Customs College (CN)
Natural Science Foundation of Shanghai, Natural Science Foundation of Anhui Province
Openalex Percentile: Top 38%
Fractional Differential Equations Solutions
0.40
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.