English

The stripping process can be slow: part I

Combinatorics 2017-04-11 v5

Abstract

Given an integer k, we consider the parallel k-stripping process applied to a hypergraph H: removing all vertices with degree less than k in each iteration until reaching the k-core of H. Take H as H_r(n,m): a random r-uniform hypergraph on n vertices and m hyperedges with the uniform distribution. Fixing k,r\ge 2 with (k,r)\neq (2,2), it has previously been proved that there is a constant c_{r,k} such that for all m=cn with constant c\neq c_{r,k}, with high probability, the parallel k-stripping process takes O(\log n) iterations. In this paper we investigate the critical case when c=c_{r,k}+o(1). We show that the number of iterations that the process takes can go up to some power of n, as long as c approaches c_{r,k} sufficiently fast. A second result we show involves the depth of a non-k-core vertex v: the minimum number of steps required to delete v from H_r(n,m) where in each step one vertex with degree less than k is removed. We will prove lower and upper bounds on the maximum depth over all non-k-core vertices.

Keywords

Cite

@article{arxiv.1501.02695,
  title  = {The stripping process can be slow: part I},
  author = {Pu Gao and Mike Molloy},
  journal= {arXiv preprint arXiv:1501.02695},
  year   = {2017}
}

Comments

68 pp. This article replaces a substantial part of arXiv:1309.6651 (except for the application to random XORSAT-clustering) with corrected and refined arguments

R2 v1 2026-06-22T07:58:32.833Z