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Research Article | Open Access

Direct and inverse problems for a nonlocal heat equation under generalized- periodic boundary conditions

Makhmud Sadybekov1,2Gulnar Dildabek1,2( )
Institute of Mathematics and Mathematical Modeling, Almaty, Kazakhstan
Al-Farabi Kazakh National University, Almaty, Kazakhstan
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Abstract

This paper studies direct and inverse source problems for a nonlocal heat equation with an involution in the spatial variable under generalized periodic-type boundary conditions. These conditions couple the traces of the solution and its derivatives at the endpoints of the interval and lead to a non-self-adjoint spatial operator, for which the classical separation-of-variables approach may fail due to the lack of the Riesz basis property of root functions. To overcome this difficulty, we develop a functional decomposition method that represents the solution as a specially chosen sum of two auxiliary components. This decomposition reduces the original nonlocal problem to the sequential solution of two classical heat equations with standard self-adjoint boundary conditions (a Dirichlet problem for the odd component and a Robin problem for the auxiliary even component). Using this reduction, we prove existence, uniqueness, and stability of strong Sobolev solutions for the direct initial-boundary value problem for all admissible real values of the model parameters, without imposing any arithmetic restrictions on the associated spectral ratio. We also investigate the inverse problem of recovering a stationary (space-dependent) source from a final-time observation and establish well-posedness and stability estimates for the reconstructed source and the corresponding solution.

CLC number: 35K05, 35K20, 35R10, 35R30

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AIMS Mathematics
Pages 9736-9759

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Cite this article:
Sadybekov M, Dildabek G. Direct and inverse problems for a nonlocal heat equation under generalized- periodic boundary conditions. AIMS Mathematics, 2026, 11(4): 9736-9759. https://doi.org/10.3934/math.2026403

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Received: 28 December 2025
Revised: 25 March 2026
Accepted: 01 April 2026
Published: 13 April 2026
©2026 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)