Processing math: 100%

 

 

 

Importance sampling, Fokker-Planck and Langevin equations

The solution represents the probability of finding our random walker at position x at time t if the initial distribution was placed at x=0 at t=0.

There is another interesting feature worth observing. The discrete transition probability W itself is given by a binomial distribution. The results from the central limit theorem state that transition probability in the limit n converges to the normal distribution. It is then possible to show that

W(iljl,nϵ)W(y,t+Δt|x,t)=14πDΔtexp[((yx)2/4DΔt)],

and that it satisfies the normalization condition and is itself a solution to the diffusion equation.