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Cumulant expansion for counting Eulerian orientations

dc.contributor.authorIsaev, Mikhailen
dc.contributor.authorMcKay, Brendan D.en
dc.contributor.authorZhang, Rui Rayen
dc.date.accessioned2025-05-23T10:21:43Z
dc.date.available2025-05-23T10:21:43Z
dc.date.issued2025en
dc.description.abstractAn Eulerian orientation is an orientation of the edges of a graph such that every vertex is balanced: its in-degree equals its out-degree. Counting Eulerian orientations corresponds to the crucial partition function in so-called “ice-type models” in statistical physics and is known to be hard for general graphs. For all graphs with good expansion properties and degrees larger than log8⁡n, we derive an asymptotic expansion for this count that approximates it to precision O(n−c) for arbitrarily large c, where n is the number of vertices. The proof relies on a new tail bound for the cumulant expansion of the Laplace transform, which is of independent interest.en
dc.description.sponsorshipSupported by Australian Research Council grant DP250101611.en
dc.description.statusPeer-revieweden
dc.format.extent52en
dc.identifier.issn0095-8956en
dc.identifier.otherORCID:/0000-0002-3553-0496/work/184098239en
dc.identifier.scopus85215827671en
dc.identifier.urihttp://www.scopus.com/inward/record.url?scp=85215827671&partnerID=8YFLogxKen
dc.identifier.urihttps://hdl.handle.net/1885/733752017
dc.language.isoenen
dc.provenanceThis is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).en
dc.rights© 2025 The Author(s)en
dc.sourceJournal of Combinatorial Theory. Series Ben
dc.subjectCumulanten
dc.subjectEulerian orientationen
dc.subjectGraphen
dc.subjectIce-modelen
dc.subjectSpanning treeen
dc.titleCumulant expansion for counting Eulerian orientationsen
dc.typeJournal articleen
dspace.entity.typePublicationen
local.bibliographicCitation.lastpage314en
local.bibliographicCitation.startpage263en
local.contributor.affiliationIsaev, Mikhail; University of New South Walesen
local.contributor.affiliationMcKay, Brendan D.; School of Computing, ANU College of Systems and Society, The Australian National Universityen
local.contributor.affiliationZhang, Rui Ray; Simons Laufer Mathematical Sciences Instituteen
local.identifier.citationvolume172en
local.identifier.doi10.1016/j.jctb.2025.01.002en
local.identifier.purecdc4a589-daa3-4e6e-858b-b29e531e0cd6en
local.identifier.urlhttps://www.scopus.com/pages/publications/85215827671en
local.type.statusPublisheden

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