Asymptotics of characters of symmetric groups, genus expansion and free probability

dc.creatorSniady, Piotr
dc.date2004-11-30
dc.date2005-10-21
dc.date.accessioned2026-07-07T06:39:05Z
dc.date.available2026-07-07T06:39:05Z
dc.descriptionThe convolution of indicators of two conjugacy classes on the symmetric group S_q is usually a complicated linear combination of indicators of many conjugacy classes. Similarly, a product of the moments of the Jucys--Murphy element involves many conjugacy classes with complicated coefficients. In this article we consider a combinatorial setup which allows us to manipulate such products easily: to each conjugacy class we associate a two-dimensional surface and the asymptotic properties of the conjugacy class depend only on the genus of the resulting surface. This construction closely resembles the genus expansion from the random matrix theory. As the main application we study irreducible representations of symmetric groups S_q for large q. We find the asymptotic behavior of characters when the corresponding Young diagram rescaled by a factor q^{-1/2} converge to a prescribed shape. The character formula (known as the Kerov polynomial) can be viewed as a power series, the terms of which correspond to two-dimensional surfaces with prescribed genus and we compute explicitly the first two terms, thus we prove a conjecture of Biane.
dc.descriptionversion 2: change of title; the section on Gaussian fluctuations was moved to a subsequent paper [Piotr Sniady: "Gaussian fluctuations of characters of symmetric groups and of Young diagrams" math.CO/0501112]
dc.identifierhttps://arxiv.org/abs/math/0411647
dc.identifierhttp://arxiv.org/abs/math/0411647
dc.identifierDiscrete Math., 306 (7):624-665, 2006
dc.identifierdoi:10.1016/j.disc.2006.02.004
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/100958
dc.subjectCombinatorics
dc.subjectRepresentation Theory
dc.subject20C30; 46L54; 42A85; 15A52
dc.titleAsymptotics of characters of symmetric groups, genus expansion and free probability
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