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Convergence analysis of the time-stepping numerical methods for time-fractional nonlinear subdiffusion equations

Numerical Analysis 2021-04-08 v2 Numerical Analysis

Abstract

In 1986, Dixon and McKee developed a discrete fractional Gr\"{o}nwall inequality [Z. Angew. Math. Mech., 66 (1986), pp. 535--544], which can be seen as a generalization of the classical discrete Gr\"{o}nwall inequality. However, this generalized discrete Gr\"{o}nwall inequality has not been widely applied in the numerical analysis of the time-stepping methods for the time-fractional evolution equations. The main purpose of this paper is to show how to apply the generalized discrete Gr\"{o}nwall inequality to prove the convergence of a class of time-stepping numerical methods for time-fractional nonlinear subdiffusion equations, including the popular fractional backward difference type methods of order one and two, and the second-order fractional Crank-Nicolson type methods. We obtain the optimal L2L^2 error estimate in space discretization. The convergence of the fast time-stepping numerical methods is also proved in a simple manner.

Keywords

Cite

@article{arxiv.2007.07015,
  title  = {Convergence analysis of the time-stepping numerical methods for time-fractional nonlinear subdiffusion equations},
  author = {Hui Zhang and Fanhai Zeng and Xiaoyun Jiang and George Em Karniadakis},
  journal= {arXiv preprint arXiv:2007.07015},
  year   = {2021}
}

Comments

24 pages, 14 figure

R2 v1 2026-06-23T17:06:33.168Z