English

Stochastic equations on projective systems of groups

Probability 2012-03-12 v2 Representation Theory

Abstract

We consider stochastic equations of the form Xk=ϕk(Xk+1)ZkX_k = \phi_k(X_{k+1}) Z_k, kNk \in \mathbb{N}, where XkX_k and ZkZ_k are random variables taking values in a compact group GkG_k, ϕk:Gk+1Gk\phi_k: G_{k+1} \to G_k is a continuous homomorphism, and the noise (Zk)kN(Z_k)_{k \in \mathbb{N}} is a sequence of independent random variables. We take the sequence of homomorphisms and the sequence of noise distributions as given, and investigate what conditions on these objects result in a unique distribution for the "solution" sequence (Xk)kN(X_k)_{k \in \mathbb{N}} and what conditions permits the existence of a solution sequence that is a function of the noise alone (that is, the solution does not incorporate extra input randomness "at infinity"). Our results extend previous work on stochastic equations on a single group that was originally motivated by Tsirelson's example of a stochastic differential equation that has a unique solution in law but no strong solutions.

Keywords

Cite

@article{arxiv.1106.2837,
  title  = {Stochastic equations on projective systems of groups},
  author = {Steven N. Evans and Tatyana Gordeeva},
  journal= {arXiv preprint arXiv:1106.2837},
  year   = {2012}
}

Comments

20 pages, revised according to referee's suggestions

R2 v1 2026-06-21T18:22:31.570Z