Asymptotics of the Gelfand models of the symmetric groups

preprint2010arXivOpen access

Abstract

If a partition λλ of size n is chosen randomly according to the Plancherel measure Pn[λ]=(dim⁡λ)2/n!P_n[λ] = (\dim λ)^2/n!, then as n goes to infinity, the rescaled shape of λλ is with high probability very close to a non-random continuous curve ΩΩ known as the Logan-Shepp-Kerov-Vershik curve. Moreover, the rescaled deviation of λλ from this limit shape can be described by an explicit generalized gaussian process. In this paper, we investigate the analoguous problem when λλ is chosen with probability proportional to dim⁡λ\dim λ instead of (dim⁡λ)2(\dim λ)^2. We shall use very general arguments due to Ivanov and Olshanski for the first and second order asymptotics (cf. arXiv:math/0304010); these arguments amount essentially to a method of moments in a noncommutative setting. The first order asymptotics of the Gelfand measures turns out to be the same as for the Plancherel measure; on the contrary, the fluctuations are different (and bigger), although they involve the same generalized gaussian process. Many of our computations relie on the enumeration of involutions and square roots in SnS_n.

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