English

A probabilistic solution to the Stroock-Williams equation

Probability 2014-09-04 v2

Abstract

We consider the initial boundary value problem \begin{eqnarray*}u_t=\mu u_x+\tfrac{1}{2}u_{xx}\qquad (t>0,x\ge0),\\u(0,x)=f(x)\qquad (x\ge0),\\u_t(t,0)=\nu u_x(t,0)\qquad (t>0)\end{eqnarray*} of Stroock and Williams [Comm. Pure Appl. Math. 58 (2005) 1116-1148] where μ,νR\mu,\nu\in \mathbb{R} and the boundary condition is not of Feller's type when ν<0\nu<0. We show that when ff belongs to Cb1C_b^1 with f()=0f(\infty)=0 then the following probabilistic representation of the solution is valid: u(t,x)=Ex[f(Xt)]Ex[f(Xt)0t0(X)e2(νμ)sds],u(t,x)=\mathsf{E}_x\bigl[f(X_t)\bigr]-\mathsf{E}_x\biggl[f'(X_t)\int_0^{\ell_t^0(X)}e^{-2(\nu-\mu)s}\,ds\biggr], where XX is a reflecting Brownian motion with drift μ\mu and 0(X)\ell^0(X) is the local time of XX at 00. The solution can be interpreted in terms of XX and its creation in 00 at rate proportional to 0(X)\ell^0(X). Invoking the law of (Xt,t0(X))(X_t,\ell_t^0(X)), this also yields a closed integral formula for uu expressed in terms of μ\mu, ν\nu and ff.

Keywords

Cite

@article{arxiv.1307.0046,
  title  = {A probabilistic solution to the Stroock-Williams equation},
  author = {Goran Peskir},
  journal= {arXiv preprint arXiv:1307.0046},
  year   = {2014}
}

Comments

Published in at http://dx.doi.org/10.1214/13-AOP865 the Annals of Probability (http://www.imstat.org/aop/) by the Institute of Mathematical Statistics (http://www.imstat.org)

R2 v1 2026-06-22T00:42:44.087Z