DocumentCode :
115100
Title :
Stochastic numerical analysis for Brownian motion on SO(3)
Author :
Piggott, Marc J. ; Solo, Victor
Author_Institution :
Sch. of Electr. Eng. & Telecommun., Univ. of New South Wales, Sydney, NSW, Australia
fYear :
2014
fDate :
15-17 Dec. 2014
Firstpage :
3420
Lastpage :
3425
Abstract :
Traditional methods for simulating stochastic differential equations fail when applied to processes evolving in manifolds as these schemes leave the manifold, often after a single time step. In the deterministic case the geometric numerical integration literature is well established, but for stochastic differential equations in manifolds the literature is sparse and underdeveloped. In this paper, we construct a simple geometric Euler numerical scheme for simulating Brownian motion on SO(3) and study its uniform mean square convergence to the underlying stochastic differential equation. Simulations are provided which illustrate the preservation of the manifold structure.
Keywords :
Brownian motion; convergence of numerical methods; differential equations; geometry; mean square error methods; stochastic processes; Brownian motion; SO(3); deterministic case; geometric Euler numerical scheme; geometric numerical integration literature; manifold structure; stochastic differential equations; stochastic numerical analysis; uniform mean square convergence; Approximation algorithms; Approximation methods; Convergence; Differential equations; Manifolds; Mathematical model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-1-4799-7746-8
Type :
conf
DOI :
10.1109/CDC.2014.7039919
Filename :
7039919
Link To Document :
بازگشت