COOLEY, Oliver, Frederik GARBE, Eng Keat HNG, Mihyun KANG, Nicolás SANHUEZA-MATAMALA and Julian ZALLA. Longest Paths in Random Hypergraphs. SIAM Journal on Discrete Mathematics. 2021, vol. 35, No 4, p. 2430-2458. ISSN 0895-4801. Available from: https://dx.doi.org/10.1137/20M1345712.
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Basic information
Original name Longest Paths in Random Hypergraphs
Authors COOLEY, Oliver, Frederik GARBE, Eng Keat HNG, Mihyun KANG, Nicolás SANHUEZA-MATAMALA and Julian ZALLA.
Edition SIAM Journal on Discrete Mathematics, 2021, 0895-4801.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 0.868
Organization unit Faculty of Informatics
Doi http://dx.doi.org/10.1137/20M1345712
UT WoS 000736744500008
Keywords in English random hypergraphs; paths; phase transition; search algorithm
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 14/6/2022 10:13.
Abstract
Given integers $k,j$ with $1\le j \le k-1$, we consider the length of the longest $j$-tight path in the binomial random $k$-uniform hypergraph $H^k(n,p)$. We show that this length undergoes a phase transition from logarithmic length to linear and determine the critical threshold, as well as proving upper and lower bounds on the length in the subcritical and supercritical ranges. In particular, for the supercritical case we introduce the \tt Pathfinder algorithm, a depth-first search algorithm which discovers $j$-tight paths in a $k$-uniform hypergraph. We prove that, in the supercritical case, with high probability this algorithm will find a long $j$-tight path.
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