Inverse Kernel Identification in a Time‐Fractional Integro‐Differential Equation

ABSTRACT This article investigates a fractional diffusion‐wave model incorporating memory effects. We first analyze the direct problem and establish the existence, uniqueness, and regularity of its solution under suitable conditions. The primary focus is on an inverse problem, in which an unknown time‐dependent kernel is determined using additional information about the solution. We reformulate the problem into an equivalent form and prove results concerning global uniqueness and existence.

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Publication Details

Journal
Mathematical Methods in the Applied Sciences
Published
2026-10-08
DOI
https://doi.org/10.1002/mma.71017
Primary Topic
Differential Equations and Boundary Problems
Type
article
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article

Inverse Kernel Identification in a Time‐Fractional Integro‐Differential Equation

Askar Ahmadovich Rahmonov, Z. A. Subhonova
Mathematical Methods in the Applied Sciences
Differential Equations and Boundary Problems
article

Inverse Kernel Identification in a Time‐Fractional Integro‐Differential Equation

Askar Ahmadovich Rahmonov, Z. A. Subhonova
article en

Abstract

ABSTRACT This article investigates a fractional diffusion‐wave model incorporating memory effects. We first analyze the direct problem and establish the existence, uniqueness, and regularity of its solution under suitable conditions. The primary focus is on an inverse problem, in which an unknown time‐dependent kernel is determined using additional information about the solution. We reformulate the problem into an equivalent form and prove results concerning global uniqueness and existence.

Mathematical Methods in the Applied Sciences
Samarkand State University named after Sharof Rashidov (UZ), Academy of Sciences Republic of Uzbekistan (UZ), Tashkent University of Information Technology (UZ), Bukhara State University (UZ)
Openalex Percentile: Top 6%
Differential Equations and Boundary Problems
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Inverse Kernel Identification in a Time‐Fractional Integro‐Differential Equation — Askar Ahmadovich Rahmonov, Z. A. Subhonova · Mathematical Methods in the Applied Sciences (2026) | TGRS Research Map | TGRS