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Square percolation and the threshold for quadratic divergence in random right-angled Coxeter groups
Department of Mathematics, Lehman College and The Graduate Center, CUNY, NY, New York, United States.
Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för matematik och matematisk statistik.ORCID-id: 0000-0001-8631-4745
Division of Science, Math and Computing, Bard College at Simon's Rock, MA, Great Barrington, United States.
2022 (Engelska)Ingår i: Random structures & algorithms (Print), ISSN 1042-9832, E-ISSN 1098-2418, Vol. 60, nr 4, s. 594-630Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

Given a graph (Formula presented.), its auxiliary square-graph (Formula presented.) is the graph whose vertices are the non-edges of (Formula presented.) and whose edges are the pairs of non-edges which induce a square (i.e., a 4-cycle) in (Formula presented.). We determine the threshold edge-probability (Formula presented.) at which the Erdős–Rényi random graph (Formula presented.) begins to asymptotically almost surely (a.a.s.) have a square-graph with a connected component whose squares together cover all the vertices of (Formula presented.). We show (Formula presented.), a polylogarithmic improvement on earlier bounds on (Formula presented.) due to Hagen and the authors. As a corollary, we determine the threshold (Formula presented.) at which the random right-angled Coxeter group (Formula presented.) a.a.s. becomes strongly algebraically thick of order 1 and has quadratic divergence.

Ort, förlag, år, upplaga, sidor
John Wiley & Sons, 2022. Vol. 60, nr 4, s. 594-630
Nyckelord [en]
divergence, geometric group theory, random graphs, random groups, right-angled Coxeter groups, square percolation
Nationell ämneskategori
Diskret matematik Sannolikhetsteori och statistik
Identifikatorer
URN: urn:nbn:se:umu:diva-188161DOI: 10.1002/rsa.21049ISI: 000698698600001Scopus ID: 2-s2.0-85115638478OAI: oai:DiVA.org:umu-188161DiVA, id: diva2:1601011
Tillgänglig från: 2021-10-06 Skapad: 2021-10-06 Senast uppdaterad: 2022-07-20Bibliografiskt granskad

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Falgas-Ravry, Victor

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Random structures & algorithms (Print)
Diskret matematikSannolikhetsteori och statistik

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