Error analysis of a stochastic immersed boundary method incorporating thermal fluctuations

被引:6
作者
Atzberger, Paul J. [1 ]
Kramer, Peter R. [2 ]
机构
[1] Univ Calif Santa Barbara, Dept Math, Santa Barbara, CA 93106 USA
[2] Rensselaer Polytech Inst, Dept Math, Troy, NY 12180 USA
基金
美国国家科学基金会;
关键词
Stochastic analysis; Numerical analysis; Stochastic processes; Fluid dynamics; Immersed boundary method; Statistical mechanics;
D O I
10.1016/j.matcom.2008.01.004
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
A stochastic numerical scheme for an extended immersed boundary method which incorporates thermal fluctuations for the simulation of microscopic biological systems consisting of fluid and immersed elastica was introduced in reference [2]. The numerical scheme uses techniques from stochastic calculus to overcome stability and accuracy issues associated with standard finite difference methods. The numerical scheme handles a range of time steps in a unified manner, including time steps which are greater than the smallest time scales of the system. The time step regimes we shall investigate can be classified as small, intermediate, or large relative to the time scales of the fluid dynamics of the system. Small time steps resolve in a computationally explicit manner the dynamics of all the degrees of freedom of the system. Large time steps resolve in a computationally explicit manner only the degrees of freedom of the immersed elastica, with the contributions of the dynamics of the fluid degrees of freedom accounted for ill only a statistical manner over a time step. Intermediate time steps resolve in a computationally explicit manner only some degrees of freedom of the fluid with the remaining degrees of freedom accounted for statistically over a time step. In this paper, uniform bounds are established for the strong error of the stochastic numerical method for each of the time step regimes. The scaling of the numerical errors with respect to the parameters of the method is then discussed. (C) 2008 IMACS. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:379 / 408
页数:30
相关论文
共 45 条
[1]  
Alberts B., 2002, Molecular Biology of the Cell, V4th ed.
[2]  
[Anonymous], 2002, Mechanics of the cell
[3]   A stochastic immersed boundary method for fluid-structure dynamics at microscopic length scales [J].
Atzberger, Paul J. ;
Kramer, Peter R. ;
Peskin, Charles S. .
JOURNAL OF COMPUTATIONAL PHYSICS, 2007, 224 (02) :1255-1292
[4]   Flexible lipid bilayers in implicit solvent [J].
Brannigan, G ;
Philips, PF ;
Brown, FLH .
PHYSICAL REVIEW E, 2005, 72 (01)
[5]   A consistent model for thermal fluctuations and protein-induced deformations in lipid bilayers [J].
Brannigan, G ;
Brown, FLH .
BIOPHYSICAL JOURNAL, 2006, 90 (05) :1501-1520
[6]  
Champeney D. C, 1987, HDB FOURIER THEOREMS
[7]   NUMERICAL SOLUTION OF NAVIER-STOKES EQUATIONS [J].
CHORIN, AJ .
MATHEMATICS OF COMPUTATION, 1968, 22 (104) :745-&
[8]  
CORRSIN S, 1960, ATMOSPHERIC DIFFUSIO, V6
[9]   Proteomics [J].
de Hoog, CL ;
Mann, M .
ANNUAL REVIEW OF GENOMICS AND HUMAN GENETICS, 2004, 5 :267-293
[10]  
Fall C. P., 2002, COMPUTATIONAL CELL B, V20