For a research project I was given a result, which describes the time distribution for the meeting time of two superdiffusive random walks (superdiffusive random walks don't have a standard deviation $\sim \sqrt{t}$, but rather of a higher power, in this case we have the standard deviation $\sim t^{2/3}$).
Specifically, we have two random walks, which start at the same time, but with a certain distance $l$ apart. The distribution which I was given now describes the probability distribution for the time at which the two walks will meet as: $$ \hat p(t,l) = \frac{\pi l}{\sqrt{2\cdot5 t^{4/3}}}\exp{\frac{-\pi l^2}{2\cdot5t^{4/3}}} $$
I am struggling with deriving/understanding this result. I have done some digging and found out that the probability for such a random walk beeing located at spacial coordinate $x$ at time $t$ is given by $$ p(x,t) = \frac{1}{\sqrt{4\pi D t^{4/3}}}\exp{\frac{-x^2}{4Dt^{4/3}}} $$ where $D\in \mathbb R$ is some constant, which will shift the value of the standard deviation.
I think the upper result should be derivable from the lower one somehow, but I can't figure out how. Maybe someone has some ideas or tipps for a derivation. Thank you very much in advance!