If Xt is a random walk that starts from 0 at t=0, Xt~N(μt,σ2t). Its probability density is given by
p(x, t) = \frac{1}{\sqrt{2\pi\sigma^2 t}}e^{\frac{-(x-\mu t)^2}{2\sigma^2t}}
For a pure Brownian motion (which is a continuous RW), μ = 0 and σ = 1.
p(z, t) = \frac{1}{\sqrt{2\pi t}}e^{\frac{-z^2}{2t}}
This PDF satisfies the diffusion equation.
For a random walk that starts elsewhere, its probability density is given by
p(x_T, T; x_0, t_0) = \frac{1}{\sqrt{2\pi\sigma^2(T-t_0)}}e^{\frac{-[(x_T - x_0)-\mu(T-t_0)]^2}{2\sigma^2(T-t_0)}}
P(xT, T; x0, t0) = probability of being at xT at time T, given that we started at x0 at time t0.
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