Cumulant expansion for counting Eulerian orientations
| dc.contributor.author | Isaev, Mikhail | en |
| dc.contributor.author | McKay, Brendan D. | en |
| dc.contributor.author | Zhang, Rui Ray | en |
| dc.date.accessioned | 2025-05-23T10:21:43Z | |
| dc.date.available | 2025-05-23T10:21:43Z | |
| dc.date.issued | 2025 | en |
| dc.description.abstract | An 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 log8n, 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.sponsorship | Supported by Australian Research Council grant DP250101611. | en |
| dc.description.status | Peer-reviewed | en |
| dc.format.extent | 52 | en |
| dc.identifier.issn | 0095-8956 | en |
| dc.identifier.other | ORCID:/0000-0002-3553-0496/work/184098239 | en |
| dc.identifier.scopus | 85215827671 | en |
| dc.identifier.uri | http://www.scopus.com/inward/record.url?scp=85215827671&partnerID=8YFLogxK | en |
| dc.identifier.uri | https://hdl.handle.net/1885/733752017 | |
| dc.language.iso | en | en |
| dc.provenance | This 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.source | Journal of Combinatorial Theory. Series B | en |
| dc.subject | Cumulant | en |
| dc.subject | Eulerian orientation | en |
| dc.subject | Graph | en |
| dc.subject | Ice-model | en |
| dc.subject | Spanning tree | en |
| dc.title | Cumulant expansion for counting Eulerian orientations | en |
| dc.type | Journal article | en |
| dspace.entity.type | Publication | en |
| local.bibliographicCitation.lastpage | 314 | en |
| local.bibliographicCitation.startpage | 263 | en |
| local.contributor.affiliation | Isaev, Mikhail; University of New South Wales | en |
| local.contributor.affiliation | McKay, Brendan D.; School of Computing, ANU College of Systems and Society, The Australian National University | en |
| local.contributor.affiliation | Zhang, Rui Ray; Simons Laufer Mathematical Sciences Institute | en |
| local.identifier.citationvolume | 172 | en |
| local.identifier.doi | 10.1016/j.jctb.2025.01.002 | en |
| local.identifier.pure | cdc4a589-daa3-4e6e-858b-b29e531e0cd6 | en |
| local.identifier.url | https://www.scopus.com/pages/publications/85215827671 | en |
| local.type.status | Published | en |
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