scispace - formally typeset
Open AccessBook ChapterDOI

Kerov’s Central Limit Theorem for the Plancherel Measure on Young Diagrams

Reads0
Chats0
TLDR
In this article, a reconstruction of Kerov's proof of Gaussian fluctuations around the limit shape of a curve is presented, largely based on the unpublished notes of the original proof.
Abstract
Consider random Young diagrams with fixed number n of boxes, distributed according to the Plancherel measure M n. That is, the weight M n(λ) of a diagram λ equals dim2 λ/n!, where dim λ denotes the dimension of the irreducible representation of the symmetric group indexed by λ. As n → ∞, the boundary of the (appropriately rescaled) random shape λ concentrates near a curve Ω (Logan-Shepp 1977, Vershik-Kerov 1977). In 1993, Kerov announced a remarkable theorem describing Gaussian fluctuations around the limit shape Ω. Here we propose a reconstruction of his proof. It is largely based on Kerov’s unpublished work notes, 1999

read more

Citations
More filters
Book ChapterDOI

Free Random Variables

Proceedings ArticleDOI

Efficient quantum tomography II

TL;DR: This work shows that O(d/ε) copies suffice to obtain an estimate ρ that satisfies ||ρ − ρ||F2 ≤ ε (with high probability), and is the first to show that nontrivial tomography can be obtained using a number of copies that is just linear in the dimension.
BookDOI

Increasing and decreasing subsequences and their variants

TL;DR: The theory of increasing and decreasing subsequences of permutations is closely related to the RSK algorithm as mentioned in this paper, and several generalizations and variations of increasing/decreasing subsequences are discussed, including the theory of pattern avoidance, unimodal and alternating subsequences, and crossings and intersections of matchings and set partitions.
Book ChapterDOI

Characters of symmetric groups and free cumulants

TL;DR: In this article, the authors investigated Kerov's formula expressing the normalized irreducible characters of symmetric groups evaluated on a cycle, in terms of the free cumulants of the associated Young diagrams.
Posted Content

Exponential Approximation by Stein's Method and Spectral Graph Theory

TL;DR: In this paper, general Berry-Esseen bounds are developed for the exponential distri- bution using Stein's method and a new concentration inequality approach, and a sharp error term for Hora's result that the spectrum of the Johnson graph has an exponential limit.
References
More filters

An Introduction To Probability Theory And Its Applications

TL;DR: A First Course in Probability (8th ed.) by S. Ross is a lively text that covers the basic ideas of probability theory including those needed in statistics.
Book

Orthogonal polynomials

Gábor Szegő
Book

Symmetric functions and Hall polynomials

TL;DR: In this paper, the characters of GLn over a finite field and the Hecke ring of GLs over finite fields have been investigated and shown to be symmetric functions with two parameters.
Related Papers (5)