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STABILIZED INTEGRATING FACTOR RUNGE--KUTTA METHOD AND UNCONDITIONAL PRESERVATION OF MAXIMUM BOUND PRINCIPLE.

Authors :
JINGWEI LI
XIAO LI
LILI JU
XINLONG FENG
Source :
SIAM Journal on Scientific Computing. 2021, Vol. 43 Issue 3, pA1780-A1802. 23p.
Publication Year :
2021

Abstract

The maximum bound principle (MBP) is an important property for a large class of semilinear parabolic equations, in the sense that the time-dependent solution of the equation with appropriate initial and boundary conditions and nonlinear operator preserves for all time a uniform pointwise bound in absolute value. It has been a challenging problem to design unconditionally MBPpreserving high-order accurate time-stepping schemes for these equations. In this paper, we combine the integrating factor Runge--Kutta (IFRK) method with the linear stabilization technique to develop a stabilized IFRK (sIFRK) method, and we successfully derive sufficient conditions for the proposed method to preserve the MBP unconditionally in the discrete setting. We then elaborate some sIFRK schemes with up to the third-order accuracy, which are proven to be unconditionally MBP-preserving by verifying these conditions. In addition, it is shown that many classic strong stability-preserving sIFRK schemes do not satisfy these conditions except the first-order one. Extensive numerical experiments are also carried out to demonstrate the performance of the proposed method. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10648275
Volume :
43
Issue :
3
Database :
Academic Search Index
Journal :
SIAM Journal on Scientific Computing
Publication Type :
Academic Journal
Accession number :
151374870
Full Text :
https://doi.org/10.1137/20M1340678