Bounded backward-equation stochastic representation
= Bounded backward-equation stochastic representation
{title2=$u(t,x)=\mathbb E_xf(X_t)$}
For a bounded smooth solution of $u_t=Lu$ with initial function $f$, apply the <Itô formula> to $u(t-s,X_s)$. Its drift vanishes and its boundedness upgrades the localized stochastic integral to a true martingale. Taking endpoint expectations yields $u(t,x)=\mathbb E_xf(X_t)$ without a global bound on $u_x$.