Emergence of a Giant Component in Random Site Subgraphs of a d-Dimensional Hamming Torus
David Sivakoff

TL;DR
This paper analyzes the phase transition for the emergence of a giant component in random site subgraphs of a d-dimensional Hamming torus, revealing thresholds depending on vertex removal probability and graph parameters.
Contribution
It provides a detailed characterization of the giant component emergence and connectivity thresholds in site percolation on the Hamming torus, including explicit formulas and surprising distinctions from edge percolation.
Findings
Existence of a critical for giant component emergence depending on > 0.
Giant component size scales as (1-q) (_1 _d) n^{d-1} above the threshold.
Connectivity threshold depends on the parameter c relative to (d-1)/(_1 + ... + _d).
Abstract
The d-dimensional Hamming torus is the graph whose vertices are all of the integer points inside an a_1 n X a_2 n X ... X a_d n box in R^d (for constants a_1, ..., a_d > 0), and whose edges connect all vertices within Hamming distance one. We study the size of the largest connected component of the subgraph generated by independently removing each vertex of the Hamming torus with probability 1-p. We show that if p=\lambda / n, then there exists \lambda_c > 0, which is the positive root of a degree d polynomial whose coefficients depend on a_1, ..., a_d, such that for \lambda < \lambda_c the largest component has O(log n) vertices (a.a.s. as n \to \infty), and for \lambda > \lambda_c the largest component has (1-q) \lambda (\prod_i a_i) n^{d-1} + o(n^{d-1}) vertices and the second largest component has O(log n) vertices (a.a.s.). An implicit formula for q < 1 is also given. Surprisingly,…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStochastic processes and statistical mechanics · Cellular Automata and Applications · Geometric and Algebraic Topology
