English

Three examples of Brownian flows on $\RR$

Probability 2011-11-09 v1

Abstract

We show that the only flow solving the stochastic differential equation (SDE) on \RR\RR dXt=1{Xt>0}W+(dt)+1{Xt<0}dW(dt),dX_t = 1_{\{X_t>0\}}W_+(dt) + 1_{\{X_t<0\}}dW_-(dt), where W+W^+ and WW^- are two independent white noises, is a coalescing flow we will denote \p±\p^{\pm}. The flow \p±\p^\pm is a Wiener solution. Moreover, K+=\E[δ\p±W+]K^+=\E[\delta_{\p^\pm}|W_+] is the unique solution (it is also a Wiener solution) of the SDE Ks,t+f(x)=f(x)+stKs,u(1\RR+f)(x)W+(du)+(1/2)stKs,uf"(x)duK^+_{s,t}f(x)=f(x)+\int_s^t K_{s,u}(1_{\RR^+}f')(x)W_+(du)+(1/2) \int_s^t K_{s,u}f"(x) du for $s

Cite

@article{arxiv.1111.1846,
  title  = {Three examples of Brownian flows on $\RR$},
  author = {Yves Le Jan and Olivier Raimond},
  journal= {arXiv preprint arXiv:1111.1846},
  year   = {2011}
}

Comments

32 pages

R2 v1 2026-06-21T19:32:33.547Z