2018
DOI: 10.48550/arxiv.1805.08517
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Interacting self-avoiding polygons

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Cited by 2 publications
(2 citation statements)
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“…For any pair of distinct vertices x, y ∈ V, let Ω per (x, y) be the set of functions π : V \ {y} → V \ {x} such that, for every z ∈ V, either {z, π(z)} ∈ E or π(z) = z, and, moreover, every z ∈ V \ {x, y} has precisely one input and one output in π (from this it also follows that x has precisely one output and that y has precisely one input). This model has been studied in [1,2,3].…”
Section: Special Casesmentioning
confidence: 99%
“…For any pair of distinct vertices x, y ∈ V, let Ω per (x, y) be the set of functions π : V \ {y} → V \ {x} such that, for every z ∈ V, either {z, π(z)} ∈ E or π(z) = z, and, moreover, every z ∈ V \ {x, y} has precisely one input and one output in π (from this it also follows that x has precisely one output and that y has precisely one input). This model has been studied in [1,2,3].…”
Section: Special Casesmentioning
confidence: 99%
“…Our random wire model is an extension of the random current representation of the Ising model that was introduced by Griffiths, Hurst, and Sherman [24], and popularised by Aizenman [1]. It is also related to the Brydges-Fröhlich-Spencer representation of spin O(N ) models [15,19], and to loop O(N ) models [30,9]. The Poisson-Dirichlet distribution of random partitions was introduced by Kingman [27]; it is the invariant measure for the split-merge (coagulation-fragmentation) process [35,16,7].…”
Section: Introductionmentioning
confidence: 99%