The Slow Bond Random Walk and the Snapping Out Brownian Motion
Central Limit Theorem, Slow Bond Random Walk, Snapping Out Brownian Motion.
We consider the continuous time symmetric random walk with a slow bond on Z, which rates are equal to 1/2 for all bonds, except for the bond of vertices {−1, 0}, which associated rate is given by αn −β /2, where α > 0 and β ∈ [0, ∞] are the parameters of the model. We prove here a functional central limit theorem for the random walk with a slow bond: if β ∈ [0, 1), then it converges to the usual Brownian motion. If β ∈ (1, ∞], then it converges to the reflected Brownian motion. And at the critical value β = 1, it converges to the snapping out Brownian motion (SNOB) of parameter κ = 2α, which is a Brownian type-process recently constructed in 2016 by A. Lejay. We also provide Berry-Esseen estimates in the dual bounded Lipschitz metric for the weak convergence of one-dimensional distributions, which we believe to be sharp.