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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:
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.
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页码:337 / 354
页数:18
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