• 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