Expansion of random $0/1$ polytopes
Brett Leroux, Luis Rademacher

TL;DR
This paper proves that the edge expansion of the graph of a random 0/1 polytope in d-dimensional space is at least 1/(12d) with high probability, supporting a weaker version of a conjecture related to random walks.
Contribution
It establishes a probabilistic lower bound on the edge expansion of random 0/1 polytopes, advancing understanding of their combinatorial properties.
Findings
Edge expansion of random 0/1 polytope graph ≥ 1/(12d) with high probability
Supports a weaker form of Mihail and Vazirani's conjecture
Implications for rapid mixing of random walks on these graphs
Abstract
A conjecture of Mihail and Vazirani states that the edge expansion of the graph of every polytope is at least one. Any lower bound on the edge expansion gives an upper bound for the mixing time of a random walk on the graph of the polytope. Such random walks are important because they can be used to generate an element from a set of combinatorial objects uniformly at random. A weaker form of the conjecture of Mihail and Vazirani says that the edge expansion of the graph of a polytope in is greater than 1 over some polynomial function of . This weaker version of the conjecture would suffice for all applications. Our main result is that the edge expansion of the graph of a polytope in is at least with high probability.
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
TopicsAdvanced Combinatorial Mathematics · Markov Chains and Monte Carlo Methods · Stochastic processes and statistical mechanics
