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A fractional Adams–Simpson-type method for nonlinear fractional ordinary differential equations with non-smooth data

Authors :
Wang, Yuan-Ming
Xie, Bo
Source :
BIT Numerical Mathematics; March 2023, Vol. 63 Issue: 1
Publication Year :
2023

Abstract

We propose a fractional Adams–Simpson-type method for nonlinear fractional ordinary differential equations with fractional order α∈(0,1). In our method, a nonuniform mesh is used so that the optimal convergence order can be recovered for non-smooth data. By developing a modified fractional Grönwall inequality, we prove that the method is unconditionally convergent under the local Lipschitz condition of the nonlinear term, and show that with a proper mesh parameter, the method can achieve the optimal convergence order 3+αeven if the given data is not smooth. Under very mild conditions, the nonlinear stability of the method is analyzed by using a perturbation technique. The extensions of the method to multi-term nonlinear fractional ordinary differential equations and multi-order nonlinear fractional ordinary differential systems are also discussed. Numerical results confirm the theoretical analysis results and demonstrate the effectiveness of the method for non-smooth data.

Details

Language :
English
ISSN :
00063835 and 15729125
Volume :
63
Issue :
1
Database :
Supplemental Index
Journal :
BIT Numerical Mathematics
Publication Type :
Periodical
Accession number :
ejs62128150
Full Text :
https://doi.org/10.1007/s10543-023-00952-4