The a posteriori error estimate in fractional differential equations using generalized Jacobi functions

In this work, we study a posteriori error analysis of a general class of fractional initial value problems and fractional boundary value problems. A Petrov-Galerkin spectral method is adopted as the discretization technique in which the generalized Jacobi functions are utilized as basis functions fo...

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Main Authors: Bo Tang, Huasheng Wang
Format: Article
Language:English
Published: AIMS Press 2023-10-01
Series:AIMS Mathematics
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/math.20231486?viewType=HTML
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author Bo Tang
Huasheng Wang
author_facet Bo Tang
Huasheng Wang
author_sort Bo Tang
collection DOAJ
description In this work, we study a posteriori error analysis of a general class of fractional initial value problems and fractional boundary value problems. A Petrov-Galerkin spectral method is adopted as the discretization technique in which the generalized Jacobi functions are utilized as basis functions for constructing efficient spectral approximations. The unique solvability of the weak problems is established by verifying the Babuška-Brezzi inf-sup condition. Then, we introduce some residual-type a posteriori error estimators, and deduce their efficiency and reliability in properly weighted Sobolev space. Numerical examples are given to illustrate the performance of the obtained error estimators.
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spelling doaj.art-bf17270a691443a5ab4912353d403f382023-11-07T01:46:22ZengAIMS PressAIMS Mathematics2473-69882023-10-01812290172904110.3934/math.20231486The a posteriori error estimate in fractional differential equations using generalized Jacobi functionsBo Tang0Huasheng Wang11. School of Mathematics and Information Science, Guangzhou University, Guangzhou 510006, Guangdong, China2. School of Mathematics and Computational Science, Wuyi University, Jiangmen, 529020, Guangdong, ChinaIn this work, we study a posteriori error analysis of a general class of fractional initial value problems and fractional boundary value problems. A Petrov-Galerkin spectral method is adopted as the discretization technique in which the generalized Jacobi functions are utilized as basis functions for constructing efficient spectral approximations. The unique solvability of the weak problems is established by verifying the Babuška-Brezzi inf-sup condition. Then, we introduce some residual-type a posteriori error estimators, and deduce their efficiency and reliability in properly weighted Sobolev space. Numerical examples are given to illustrate the performance of the obtained error estimators.https://www.aimspress.com/article/doi/10.3934/math.20231486?viewType=HTMLfractional initial value problemsfractional boundary value problemsgeneralized jacobi functionspetrov-galerkin spectral methodsa posteriori error estimators
spellingShingle Bo Tang
Huasheng Wang
The a posteriori error estimate in fractional differential equations using generalized Jacobi functions
AIMS Mathematics
fractional initial value problems
fractional boundary value problems
generalized jacobi functions
petrov-galerkin spectral methods
a posteriori error estimators
title The a posteriori error estimate in fractional differential equations using generalized Jacobi functions
title_full The a posteriori error estimate in fractional differential equations using generalized Jacobi functions
title_fullStr The a posteriori error estimate in fractional differential equations using generalized Jacobi functions
title_full_unstemmed The a posteriori error estimate in fractional differential equations using generalized Jacobi functions
title_short The a posteriori error estimate in fractional differential equations using generalized Jacobi functions
title_sort a posteriori error estimate in fractional differential equations using generalized jacobi functions
topic fractional initial value problems
fractional boundary value problems
generalized jacobi functions
petrov-galerkin spectral methods
a posteriori error estimators
url https://www.aimspress.com/article/doi/10.3934/math.20231486?viewType=HTML
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