A confined random walk locally looks like tilted random interlacements
Nicolas Bouchot
TL;DR
The paper proves a local coupling between the range of a simple random walk conditioned to stay in a large domain and tilted random interlacements, by embedding the confined walk into a conductance-based Markov chain with transition kernel derived from the first Dirichlet eigenvector. It develops the soft local times coupling to compare entrance/exit sites and excursions, establishing high-probability inclusions between the confined-walk range and a tilted interlacement at an appropriate level $u_N$. The approach leverages precise eigenvector estimates, mixing-time bounds, and variance control of soft-local-time functionals to transfer interlacement geometry to the conditioned walk, with potential applications to disconnection and covering-type problems in the confined setting. Overall, the work extends the Teixeira-type couplings to a non-Markovian conditioning via a time-homogenized, inhomogeneous interlacement framework, providing quantitative locally-RI-like descriptions for the confined walk.
Abstract
In this paper we consider the simple random walk on $\mathbb{Z}^d$, $d \geq 3$, conditioned to stay in a large domain $D_N$ of typical diameter $N$. Considering the range up to time $t_N \geq N^{2+δ}$ for some $δ> 0$, we establish a coupling with what Teixeira (2009) and Li & Sznitman (2014) defined as "tilted random interlacements". This tilted interlacement can be described as random interlacements but with trajectories given by random walks on conductances $c_N(x,y) = φ_N(x) φ_N(y)$, where $φ_N$ is the first eigenvector of the discrete Laplace-Beltrami operator on $D_N$. The coupling follows the methodology of the soft local times, introduced by Popov & Teixeira (2015) and used by Černý & Teixeira (2016) to prove the well-known coupling between the simple random walk on the torus and the random interlacements.
