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http://hdl.handle.net/10397/93867
Title: | Numerical estimation of a diffusion coefficient in subdiffusion | Authors: | Jin, B Zhou, Z |
Issue Date: | 2021 | Source: | SIAM journal on control and optimization, 2021, v. 59, no. 2, p. 1466-1496 | Abstract: | In this work, we consider the numerical recovery of a spatially dependent diffusion coefficient in a subdiffusion model from distributed observations. The subdiffusion model involves a Caputo fractional derivative of order α in (0, 1) in time. The numerical estimation is based on the regularized output least-squares formulation, with an H1(Ω) penalty. We prove the well-posedness of the continuous formulation, e.g., existence and stability. Next, we develop a fully discrete scheme based on the Galerkin finite element method in space and backward Euler convolution quadrature in time. We prove the subsequential convergence of the sequence of discrete solutions to a solution of the continuous problem as the discretization parameters (mesh size and time step size) tend to zero. Further, under an additional regularity condition on the exact coefficient, we derive convergence rates in a weighted L2(Ω) norm for the discrete approximations to the exact coefficient in the one- and two-dimensional cases. The analysis relies heavily on suitable nonstandard nonsmooth data error estimates for the direct problem. We provide illustrative numerical results to support the theoretical study. | Keywords: | Convergence Error estimate Fully discrete scheme Parameter identification Subdiffusion Tikhonov regularization |
Publisher: | Society for Industrial and Applied Mathematics | Journal: | SIAM journal on control and optimization | ISSN: | 0363-0129 | EISSN: | 1095-7138 | DOI: | 10.1137/19M1295088 | Rights: | © 2021 Society for Industrial and Applied Mathematics The following publication Jin, B., & Zhou, Z. (2021). Numerical estimation of a diffusion coefficient in subdiffusion. SIAM Journal on Control and Optimization, 59(2), 1466-1496 is available at https://doi.org/10.1137/19M1295088 |
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