Sticky Brownian Motion and Its Numerical Solution

被引:26
|
作者
Bou-Rabee, Nawaf [1 ]
Holmes-Cerfon, Miranda C. [2 ]
机构
[1] Rutgers State Univ, Dept Math Sci, Camden, NJ 08102 USA
[2] NYU, Courant Inst Math Sci, 251 Mercer St, New York, NY 10012 USA
关键词
sticky Brownian motion; Feller boundary condition; generalized Wentzell boundary condition; Fokker-Planck equation; Kolmogorov equation; sticky random walk; Markov jump process; Markov chain approximation method; finite difference methods; FINITE-DIFFERENCE APPROXIMATIONS; ENERGY LANDSCAPES; PARABOLIC EQUATIONS; DIFFUSION; CONVERGENCE; CLUSTERS; MODEL; CONSTRAINTS; SIMULATION; PARTICLES;
D O I
10.1137/19M1268446
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
Sticky Brownian motion is the simplest example of a diffusion process that can spend finite time both in the interior of a domain and on its boundary. It arises in various applications in fields such as biology, materials science, and finance. This article spotlights the unusual behavior of sticky Brownian motions from the perspective of applied mathematics, and provides tools to efficiently simulate them. We show that a sticky Brownian motion arises naturally for a particle diffusing on R+ with a strong, short-ranged potential energy near the origin. This is a limit that accurately models niesoecale particles, those with diameters approximate to 100nm-10 mu m, which form the building blocks for many common materials. We introduce a simple and intuitive sticky random walk to simulate sticky Brownian motion, which also gives insight into its unusual properties. in parameter regimes of practical interest, we show that this sticky random walk is two to five orders of magnitude faster than alternative methods to simulate a sticky Brownian motion. We outline possible steps to extend this method toward simulating multidimensional sticky diffusions.
引用
收藏
页码:164 / 195
页数:32
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