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