On the Markov transition kernels for first-passage percolation on the ladder

We consider the first-passage percolation problem on the random graph with vertex set Nx{0,1}, edges joining vertices at Euclidean distance equal to unity and independent exponential edge weights. We provide a central limit theorem for the first-passage times l_n between the vertices (0,0) and (n,0), thus extending earlier results about the almost sure convergence of l_n/n as n→infinity. We use generating function techniques to compute the n-step transition kernels of a closely related Markov chain which can be used to calculate explicitly the asymptotic variance in the central limit theorem. Keywords: central limit theorem, first-passage percolation, generating function, Markov chain, transition kernel     «

We consider the first-passage percolation problem on the random graph with vertex set Nx{0,1}, edges joining vertices at Euclidean distance equal to unity and independent exponential edge weights. We provide a central limit theorem for the first-passage times l_n between the vertices (0,0) and (n,0), thus extending earlier results about the almost sure convergence of l_n/n as n→infinity. We use generating function techniques to compute the n-step transition kernels of a closely related Markov...     »