STABILITY AND CONVERGENCE OF STEPSIZE-DEPENDENT LINEAR MULTISTEP METHODS FOR NONLINEAR DISSIPATIVE EVOLUTION EQUATIONS IN BANACH SPACE

被引:0
|
作者
Wang, Wansheng [1 ]
机构
[1] Shanghai Normal Univ, Dept Math, Shanghai 200234, Peoples R China
来源
JOURNAL OF COMPUTATIONAL MATHEMATICS | 2024年 / 42卷 / 02期
基金
上海市自然科学基金;
关键词
Nonlinear evolution equation; Linear multistep methods; omega-dissipative operators; Stability; Convergence; Banach space; FUNCTIONAL-DIFFERENTIAL EQUATIONS; RUNGE-KUTTA METHODS; TIME DISCRETIZATIONS; ASYMPTOTIC STABILITY; THETA-METHODS; OPERATORS; CONTRACTIVITY; GENERATION; MONOTONE;
D O I
10.4208/jcm.2207-m2021-0064
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
Stability and global error bounds are studied for a class of stepsize-dependent linear multistep methods for nonlinear evolution equations governed by omega-dissipative vector fields in Banach space. To break through the order barrier p <= 1 of unconditionally contractive linear multistep methods for dissipative systems, strongly dissipative systems are introduced. By employing the error growth function of the methods, new contractivity and convergence results of stepsize-dependent linear multistep methods on infinite integration intervals are provided for strictly dissipative systems (omega < 0) and strongly dissipative systems. Some applications of the main results to several linear multistep methods, including the trapezoidal rule, are supplied. The theoretical results are also illustrated by a set of numerical experiments.
引用
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页码:337 / 354
页数:18
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