Title
Unconditionally Optimal Error Estimates of a Linearized Galerkin Method for Nonlinear Time Fractional Reaction-Subdiffusion Equations.
Abstract
This paper is concerned with unconditionally optimal error estimates of linearized Galerkin finite element methods to numerically solve some multi-dimensional fractional reaction–subdiffusion equations, while the classical analysis for numerical approximation of multi-dimensional nonlinear parabolic problems usually require a restriction on the time-step, which is dependent on the spatial grid size. To obtain the unconditionally optimal error estimates, the key point is to obtain the boundedness of numerical solutions in the \(L^\infty \)-norm. For this, we introduce a time-discrete elliptic equation, construct an energy function for the nonlocal problem, and handle the error summation properly. Compared with integer-order nonlinear problems, the nonlocal convolution in the time fractional derivative causes much difficulties in developing and analyzing numerical schemes. Numerical examples are given to validate our theoretical results.
Year
DOI
Venue
2018
10.1007/s10915-018-0642-9
J. Sci. Comput.
Keywords
Field
DocType
Unconditionally optimal error estimates, Linearized Galerkin method, Nonlinear fractional reaction–subdiffusion equations, High-dimensional nonlinear problems
Nonlinear system,Grid size,Mathematical analysis,Convolution,Galerkin method,Finite element method,Fractional calculus,Mathematics,Elliptic curve,Parabola
Journal
Volume
Issue
ISSN
76
2
0885-7474
Citations 
PageRank 
References 
6
0.43
16
Authors
3
Name
Order
Citations
PageRank
Dongfang Li110615.34
Jiwei Zhang2343.15
Z. Zhang324039.29