In non-equilibrium statistical physics as far as I can tell there are two types of path integrals to find conditional probabilities:
- Path integrals over the noise in the Langevin equation, $\vec u(t)$: $$P(\vec x,t\mid \vec x_0,0)=\langle\delta^3(\vec x-\vec r(t))\rangle$$ where $$\langle F[\vec u(t)]\rangle\propto \int \mathcal{D}\vec u(t) F[u(t)] e^{-\frac{1}{4D} \int dt \vec u^2(t)}$$
- Or path integrals over trajectories e.g.: $$P(\vec x,t\mid \vec x_0,0)\propto \int^{r(t)=\vec x}_{r(t_0)=\vec x_0} \mathcal{D} \vec r(t) \exp \left(-\int^t_{t_0} dt'\frac{1}{4D}((\dot{\vec r}-\vec v(\vec r))^2+\Theta(0) \nabla \cdot \vec v(\vec r) ) \right)$$
My question is what is the difference between these two? Are they identical in every situation? Does the first approach work if we have a net drift?