Research article

Inverse time-dependent source problem for the heat equation with a nonlocal Wentzell-Neumann boundary condition

  • Received: 29 June 2023 Revised: 17 August 2023 Accepted: 08 October 2023 Published: 18 October 2023
  • In this work, we consider the problem of recovering the heat source term for the heat equation with a nonlocal Wentzell-Neumann boundary condition subject to an integral overdetermination condition. Conditions for the existence and uniqueness of the classical solution of the inverse problem are revisited, and a numerical method for practical source reconstruction is introduced. Unlike all of the source reconstruction methods found in literature, the method introduced in this work computes regularized solutions from a triangular linear system arising from a semi-discretization in the space of the continuous model. Regularization is introduced by applying the generalized singular value decomposition of a proper matrix pair along with truncation. Numerical results illustrate the effectiveness of the method.

    Citation: Fermín S. V. Bazán, Luciano Bedin, Mansur I. Ismailov, Leonardo S. Borges. Inverse time-dependent source problem for the heat equation with a nonlocal Wentzell-Neumann boundary condition[J]. Networks and Heterogeneous Media, 2023, 18(4): 1747-1771. doi: 10.3934/nhm.2023076

    Related Papers:

  • In this work, we consider the problem of recovering the heat source term for the heat equation with a nonlocal Wentzell-Neumann boundary condition subject to an integral overdetermination condition. Conditions for the existence and uniqueness of the classical solution of the inverse problem are revisited, and a numerical method for practical source reconstruction is introduced. Unlike all of the source reconstruction methods found in literature, the method introduced in this work computes regularized solutions from a triangular linear system arising from a semi-discretization in the space of the continuous model. Regularization is introduced by applying the generalized singular value decomposition of a proper matrix pair along with truncation. Numerical results illustrate the effectiveness of the method.



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