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Title: Numerical analysis of nonlinear subdiffusion equations
Authors: Jin, B
Li, B 
Zhou, Z 
Issue Date: 2018
Source: SIAM journal on numerical analysis, 2018, v. 56, no. 1, p. 1-23
Abstract: We present a general framework for the rigorous numerical analysis of time-fractional nonlinear parabolic partial differential equations, with a fractional derivative of order α ∈ (0, 1) in time. It relies on three technical tools: a fractional version of the discrete Grönwall type inequality, discrete maximal regularity, and regularity theory of nonlinear equations. We establish a general criterion for showing the fractional discrete Grönwall inequality and verify it for the L1 scheme and convolution quadrature generated by backward difference formulas. Further, we provide a complete solution theory, e.g., existence, uniqueness, and regularity, for a time-fractional diffusion equation with a Lipschitz nonlinear source term. Together with the known results of discrete maximal regularity, we derive pointwise L2(Ω) norm error estimates for semidiscrete Galerkin finite element solutions and fully discrete solutions, which are of order O(h2) (up to a logarithmic factor) and O(τα), respectively, without any extra regularity assumption on the solution or compatibility condition on the problem data. The sharpness of the convergence rates is supported by the numerical experiments.
Keywords: Nonlinear fractional diffusion equation
Discrete fractional Grönwall inequality
L1 scheme
Convolution quadrature
Error estimate
Publisher: Society for Industrial and Applied Mathematics
Journal: SIAM journal on numerical analysis 
ISSN: 0036-1429
EISSN: 1095-7170
DOI: 10.1137/16M1089320
Rights: © 2018 Society for Industrial and Applied Mathematics
The following publication Jin, B., Li, B., & Zhou, Z. (2018). Numerical analysis of nonlinear subdiffusion equations. SIAM Journal on Numerical Analysis, 56(1), 1-23 is available at https://doi.org/10.1137/16M1089320.
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