Premium
Splitting method for an inverse source problem in parabolic differential equations: Error analysis and applications
Author(s) -
Shekarpaz Simin,
Azari Hossein
Publication year - 2020
Publication title -
numerical methods for partial differential equations
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.901
H-Index - 61
eISSN - 1098-2426
pISSN - 0749-159X
DOI - 10.1002/num.22447
Subject(s) - mathematics , semigroup , convergence (economics) , inverse , inverse problem , nonlinear system , partial differential equation , linear map , work (physics) , operator (biology) , mathematical analysis , geometry , mechanical engineering , biochemistry , chemistry , physics , repressor , quantum mechanics , transcription factor , pure mathematics , engineering , economics , gene , economic growth
In this work, we present a numerical method based on a splitting algorithm to find the solution of an inverse source problem with the integral condition. The source term is reconstructed by using the specified data and by employing the Lie splitting method, we decompose the equation into linear and nonlinear parts. Each subproblem is solved by the Fourier transform and then by combining the solutions of subproblems, the solution of the original problem is computed. Moreover, the framework of strongly continuous semigroup (or C 0 ‐semigroup) is employed in error analysis of operator splitting method for the inverse problem. The convergence of the proposed method is also investigated and proved. Finally, some numerical examples in one, two, and three‐dimensional spaces are provided to confirm the efficiency and capability of our work compared with some other well‐known methods.