Variance of Linear Statistic for Plancherel Young Diagrams
Konstantin Tolmachov

TL;DR
This paper calculates the exact asymptotics of variance for linear statistics on Plancherel Young diagrams, demonstrating a local configuration with linearly growing variance and establishing a central limit theorem for it.
Contribution
It provides the first precise asymptotic analysis of variance for linear statistics on Plancherel Young diagrams and introduces a new local configuration with linearly growing variance.
Findings
Exact asymptotics of variance for linear statistics on Young diagrams
Identification of a local configuration with linearly growing variance
Proof of the central limit theorem for the identified configuration
Abstract
In this paper we compute the precise asymptotics of the variance of linear statistic of descents on a growing interval for Plancherel Young diagrams (following Vershik and Kerov, diagrams are considered rotated by ). We also give an example of a local configuration with linearly growing variance in a fixed regime and prove the central limit theorem for this configuration in the given regime.
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Taxonomy
TopicsRandom Matrices and Applications · Advanced Algebra and Geometry · Stochastic processes and statistical mechanics
