A Compact Difference-Galerkin Spectral Method of the Fourth-Order Equation with a Time-Fractional Derivative

In this article, we proposed a compact difference-Galerkin spectral method for the fourth-order equation in multi-dimensional space with the time-fractional derivative order <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantic...

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Main Authors: Yujie Wang, Shichao Yi
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Fractal and Fractional
Subjects:
Online Access:https://www.mdpi.com/2504-3110/9/3/155
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author Yujie Wang
Shichao Yi
author_facet Yujie Wang
Shichao Yi
author_sort Yujie Wang
collection DOAJ
description In this article, we proposed a compact difference-Galerkin spectral method for the fourth-order equation in multi-dimensional space with the time-fractional derivative order <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>α</mi><mo>∈</mo><mo>(</mo><mn>1</mn><mo>,</mo><mn>2</mn><mo>)</mo></mrow></semantics></math></inline-formula>. The novel compact difference-Galerkin spectral method can effectively address the issue of high-order derivative accuracy and handle complex boundary problems. Simultaneously, the main conclusions of this article, including the stability, convergence, and solvability of the method, are derived. Finally, some computational experiments are illustrated to demonstrate the superiority of the compact difference-Galerkin spectral method.
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publishDate 2025-03-01
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series Fractal and Fractional
spelling doaj-art-dcd4beb6c82a4220b69d880f5e0e2dbd2025-08-20T02:42:32ZengMDPI AGFractal and Fractional2504-31102025-03-019315510.3390/fractalfract9030155A Compact Difference-Galerkin Spectral Method of the Fourth-Order Equation with a Time-Fractional DerivativeYujie Wang0Shichao Yi1School of Science, Jiangsu University of Science and Technology, Zhenjiang 212003, ChinaSchool of Science, Jiangsu University of Science and Technology, Zhenjiang 212003, ChinaIn this article, we proposed a compact difference-Galerkin spectral method for the fourth-order equation in multi-dimensional space with the time-fractional derivative order <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>α</mi><mo>∈</mo><mo>(</mo><mn>1</mn><mo>,</mo><mn>2</mn><mo>)</mo></mrow></semantics></math></inline-formula>. The novel compact difference-Galerkin spectral method can effectively address the issue of high-order derivative accuracy and handle complex boundary problems. Simultaneously, the main conclusions of this article, including the stability, convergence, and solvability of the method, are derived. Finally, some computational experiments are illustrated to demonstrate the superiority of the compact difference-Galerkin spectral method.https://www.mdpi.com/2504-3110/9/3/155Galerkin spectral methodtime-fractional ordervariable coefficient fourth-order equation
spellingShingle Yujie Wang
Shichao Yi
A Compact Difference-Galerkin Spectral Method of the Fourth-Order Equation with a Time-Fractional Derivative
Fractal and Fractional
Galerkin spectral method
time-fractional order
variable coefficient fourth-order equation
title A Compact Difference-Galerkin Spectral Method of the Fourth-Order Equation with a Time-Fractional Derivative
title_full A Compact Difference-Galerkin Spectral Method of the Fourth-Order Equation with a Time-Fractional Derivative
title_fullStr A Compact Difference-Galerkin Spectral Method of the Fourth-Order Equation with a Time-Fractional Derivative
title_full_unstemmed A Compact Difference-Galerkin Spectral Method of the Fourth-Order Equation with a Time-Fractional Derivative
title_short A Compact Difference-Galerkin Spectral Method of the Fourth-Order Equation with a Time-Fractional Derivative
title_sort compact difference galerkin spectral method of the fourth order equation with a time fractional derivative
topic Galerkin spectral method
time-fractional order
variable coefficient fourth-order equation
url https://www.mdpi.com/2504-3110/9/3/155
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