Analyzing inverse backward problem in nonlinear integro-differential equation with memory kernel

This paper focuses on the backward problem related to an integro-differential equation with a general convolutional derivative in time and nonlinear source terms. The existence, uniqueness, and regularity of the mild solution to the proposed problem are established under certain assumptions in a sui...

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Main Author: M.J. Huntul
Format: Article
Language:English
Published: Elsevier 2024-11-01
Series:Results in Applied Mathematics
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Online Access:http://www.sciencedirect.com/science/article/pii/S2590037424000876
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author M.J. Huntul
author_facet M.J. Huntul
author_sort M.J. Huntul
collection DOAJ
description This paper focuses on the backward problem related to an integro-differential equation with a general convolutional derivative in time and nonlinear source terms. The existence, uniqueness, and regularity of the mild solution to the proposed problem are established under certain assumptions in a suitable space. The proposed problem is ill-posed in the sense of Hadamard. Moreover, the Fourier truncation method is used to construct a regularized solution. Finally, the convergence rate between the regularized solution and the exact solution is determined.
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spelling doaj-art-4c44af4a45b24c50b572e45500ff6b212025-08-20T02:49:29ZengElsevierResults in Applied Mathematics2590-03742024-11-012410051710.1016/j.rinam.2024.100517Analyzing inverse backward problem in nonlinear integro-differential equation with memory kernelM.J. Huntul0Department of Mathematics, College of Science, Jazan University, P.O. Box. 114, Jazan 45142, Kingdom of Saudi ArabiaThis paper focuses on the backward problem related to an integro-differential equation with a general convolutional derivative in time and nonlinear source terms. The existence, uniqueness, and regularity of the mild solution to the proposed problem are established under certain assumptions in a suitable space. The proposed problem is ill-posed in the sense of Hadamard. Moreover, the Fourier truncation method is used to construct a regularized solution. Finally, the convergence rate between the regularized solution and the exact solution is determined.http://www.sciencedirect.com/science/article/pii/S2590037424000876Backward problemGeneralized fractional derivativesUnique existence and regularity resultsIll-posednessMittag-Leffler type functions
spellingShingle M.J. Huntul
Analyzing inverse backward problem in nonlinear integro-differential equation with memory kernel
Results in Applied Mathematics
Backward problem
Generalized fractional derivatives
Unique existence and regularity results
Ill-posedness
Mittag-Leffler type functions
title Analyzing inverse backward problem in nonlinear integro-differential equation with memory kernel
title_full Analyzing inverse backward problem in nonlinear integro-differential equation with memory kernel
title_fullStr Analyzing inverse backward problem in nonlinear integro-differential equation with memory kernel
title_full_unstemmed Analyzing inverse backward problem in nonlinear integro-differential equation with memory kernel
title_short Analyzing inverse backward problem in nonlinear integro-differential equation with memory kernel
title_sort analyzing inverse backward problem in nonlinear integro differential equation with memory kernel
topic Backward problem
Generalized fractional derivatives
Unique existence and regularity results
Ill-posedness
Mittag-Leffler type functions
url http://www.sciencedirect.com/science/article/pii/S2590037424000876
work_keys_str_mv AT mjhuntul analyzinginversebackwardprobleminnonlinearintegrodifferentialequationwithmemorykernel