I have a stochastic coupled Schrödinger equation to solve.
$$i\frac{\mathrm d X_k(t)}{\mathrm dt}=-\left(x_{k+1}(t)+x_{k-1}(t)\right)+V_k x_k(t)+\eta_k t x_k(t)$$
where $\left\langle\eta_k(t)\eta_j(t^\prime)\right\rangle=\delta_{k,j}\theta(\tau-|t-t^\prime|)$ and $\theta(t)$ is Heaviside theta.
It is a coupled equation of $n$ variables and $n$ could be any number. In my case $n$ is typically 100-200.So there are 100-200 coupled differential equations. $\eta_k(t)$ is a random function of $\mathrm{time}(t)$ which is, in my case a gaussian random variable corresponding to the variable $x_k$. Different $\eta_k$ are unrelated. $V_k$ is a fixed number corresponding to the variable $X_k$. I don't know how to solve this stochastic differential equation.Can anybody help me?
NDSolvedefinitely will not work here. Instead, check Stochastic Differential Equation Processes. – bbgodfrey Oct 26 '15 at 18:52