2018
DOI: 10.1155/2018/8301656
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On an Inverse Problem of Reconstructing a Heat Conduction Process from Nonlocal Data

Abstract: We consider an inverse problem for a one-dimensional heat equation with involution and with periodic boundary conditions with respect to a space variable. This problem simulates the process of heat propagation in a thin closed wire wrapped around a weakly permeable insulation. The inverse problem consists in the restoration (simultaneously with the solution) of an unknown right-hand side of the equation, which depends only on the spatial variable. The conditions for redefinition are initial and final states. E… Show more

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Cited by 16 publications
(30 citation statements)
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References 35 publications
(47 reference statements)
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“…Consider an arbitrary function f (x) ∈ L 2 (−1, 1) orthogonal to all functions of system (4). Since it is orthogonal to the functions u (1) l (x), l ∈ N, we see that it coincides almost everywhere with an even function. Thus, Since systems (4) and (5) are complete, it follows that they are closed in L 2 (−1, 1); and since they correspond to mutually adjoint problems, we find that they are minimal.…”
Section: Case Of Irrational Rmentioning
confidence: 84%
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“…Consider an arbitrary function f (x) ∈ L 2 (−1, 1) orthogonal to all functions of system (4). Since it is orthogonal to the functions u (1) l (x), l ∈ N, we see that it coincides almost everywhere with an even function. Thus, Since systems (4) and (5) are complete, it follows that they are closed in L 2 (−1, 1); and since they correspond to mutually adjoint problems, we find that they are minimal.…”
Section: Case Of Irrational Rmentioning
confidence: 84%
“…u (−1) = u (1), u(−1) = βu(1), (1) where the differential expression contains an involution transformation of the independent variable in the highest derivative and the boundary conditions are nonlocal.…”
Section: Introductionmentioning
confidence: 99%
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“…We solve the problem by the Fourier method. Some new variants for solving nonlocal boundary value problems by the method of separation of variables were used in our papers [29][30][31][32][33][34][35].…”
Section: Introductionmentioning
confidence: 99%