On a Randomized Backward Euler Method for Nonlinear Evolution Equations with Time-Irregular Coefficients

被引:11
作者
Eisenmann, Monika [1 ]
Kovacs, Mihaly [2 ,3 ]
Kruse, Raphael [1 ]
Larsson, Stig [2 ,3 ]
机构
[1] Tech Univ Berlin, Inst Math, Secr MA 5-3,Str 17 Juni 136, D-10623 Berlin, Germany
[2] Chalmers Univ Technol, Dept Math Sci, S-41296 Gothenburg, Sweden
[3] Univ Gothenburg, S-41296 Gothenburg, Sweden
关键词
Monte Carlo method; Evolution equations; Ordinary differential equations; Backward Euler method; Galerkin finite element method; FINITE-ELEMENT APPROXIMATIONS; MINIMAL REGULARITY; STABILITY; CONVERGENCE; PROJECTION;
D O I
10.1007/s10208-018-09412-w
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
In this paper, we introduce a randomized version of the backward Euler method that is applicable to stiff ordinary differential equations and nonlinear evolution equations with time-irregular coefficients. In the finite-dimensional case, we consider Caratheodory-type functions satisfying a one-sided Lipschitz condition. After investigating the well-posedness and the stability properties of the randomized scheme, we prove the convergence to the exact solution with a rate of 0.5 in the root-mean-square norm assuming only that the coefficient function is square integrable with respect to the temporal parameter. These results are then extended to the approximation of infinite-dimensional evolution equations under monotonicity and Lipschitz conditions. Here, we consider a combination of the randomized backward Euler scheme with a Galerkin finite element method. We obtain error estimates that correspond to the regularity of the exact solution. The practicability of the randomized scheme is also illustrated through several numerical experiments.
引用
收藏
页码:1387 / 1430
页数:44
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