{ "id": "2101.06655", "version": "v1", "published": "2021-01-17T12:09:44.000Z", "updated": "2021-01-17T12:09:44.000Z", "title": "Percolation Perspective on Sites Not Visited by a Random Walk in Two Dimensions", "authors": [ "Amit Federbush", "Yacov Kantor" ], "comment": "14 pages, 13 figures", "categories": [ "cond-mat.stat-mech" ], "abstract": "We consider the percolation problem of sites on an $L\\times L$ square lattice with periodic boundary conditions which were {\\em unvisited} by a random walk of $N=uL^2$ steps, i.e. are {\\em vacant}. Most of the results are obtained from numerical simulations. Unlike its higher-dimensional counterparts, this problem has no sharp percolation threshold and the spanning (percolation) probability is a smooth function monotonically decreasing with $u$. The clusters of vacant sites are {\\em not} fractal but have fractal boundaries of dimension 4/3. The lattice size $L$ is the only large length scale in this problem. The typical mass (number of sites $s$) in the largest cluster is proportional to $L^2$, and the mean mass of the remaining (smaller) clusters is also proportional to $L^2$. The normalized (per site) density $n_s$ of clusters of size (mass) $s$ is proportional to $s^{-\\tau}$, while the volume fraction $P_k$ occupied by the $k$th largest cluster scales as $k^{-q}$. We put forward a heuristic argument that $\\tau=2$ and $q=1$. However, the numerically measured values are $\\tau\\approx1.83$ and $q\\approx1.20$. We suggest that these are effective exponents that drift towards their asymptotic values with increasing $L$ as slowly as $1/\\ln L$ approaches zero.", "revisions": [ { "version": "v1", "updated": "2021-01-17T12:09:44.000Z" } ], "analyses": { "keywords": [ "random walk", "percolation perspective", "th largest cluster scales", "periodic boundary conditions", "proportional" ], "note": { "typesetting": "TeX", "pages": 14, "language": "en", "license": "arXiv", "status": "editable" } } }