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Direct and inverse source problems for degenerate parabolic equations

  • M. S. Hussein , Daniel Lesnic EMAIL logo , Vitaly L. Kamynin ORCID logo and Andrey B. Kostin

Abstract

Degenerate parabolic partial differential equations (PDEs) with vanishing or unbounded leading coefficient make the PDE non-uniformly parabolic, and new theories need to be developed in the context of practical applications of such rather unstudied mathematical models arising in porous media, population dynamics, financial mathematics, etc. With this new challenge in mind, this paper considers investigating newly formulated direct and inverse problems associated with non-uniform parabolic PDEs where the leading space- and time-dependent coefficient is allowed to vanish on a non-empty, but zero measure, kernel set. In the context of inverse analysis, we consider the linear but ill-posed identification of a space-dependent source from a time-integral observation of the weighted main dependent variable. For both, this inverse source problem as well as its corresponding direct formulation, we rigorously investigate the question of well-posedness. We also give examples of inverse problems for which sufficient conditions guaranteeing the unique solvability are fulfilled, and present the results of numerical simulations. It is hoped that the analysis initiated in this study will open up new avenues for research in the field of direct and inverse problems for degenerate parabolic equations with applications.

MSC 2010: 35K20; 35R30

Award Identifier / Grant number: EP/P005985

Funding statement: V. L. Kamynin and A. B. Kostin were partially supported by the Programme of Competitiveness Increase of the National Research Nuclear University MEPhI (Moscow Engineering Physics Institute); contract no 02.a03.21.0005, 27.08.2013. D. Lesnic would like to acknowledge some small financial support received from the EPSRC funded research network on inverse problems EP/P005985/1 for a week research visit of Professor V. L. Kamynin to Leeds in July 2017.

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Received: 2019-06-27
Revised: 2020-01-24
Accepted: 2020-02-02
Published Online: 2020-03-10
Published in Print: 2020-06-01

© 2020 Walter de Gruyter GmbH, Berlin/Boston

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