Gaussian Asymptotics of Jack Measures on Partitions from Weighted Enumeration of Ribbon Paths

TL;DR

This paper establishes Gaussian asymptotics and limit shapes for Jack measures on partitions, using ribbon paths and spectral theory, extending results to Schur and Plancherel measures and connecting to ribbon graphs.

Contribution

It introduces ribbon paths for analyzing Jack measures, deriving Gaussian fluctuations and limit shapes across different regimes, and provides new proofs and connections to ribbon graphs.

Findings

Gaussian fluctuations for Jack measures in various regimes

Limit shapes for anisotropic profiles of partitions

Unified framework connecting Jack measures and ribbon graphs

Abstract

In this paper we determine two asymptotic results for Jack measures on partitions, a model defined by two specializations of Jack polynomials proposed by Borodin-Olshanski in [European J. Combin. 26.6 (2005): 795-834]. Assuming these two specializations are the same, we derive limit shapes and Gaussian fluctuations for the anisotropic profiles of these random partitions in three asymptotic regimes associated to diverging, fixed, and vanishing values of the Jack parameter. To do so, we introduce a generalization of Motzkin paths we call "ribbon paths", show for general Jack measures that certain joint cumulants are weighted sums of connected ribbon paths on $n$ sites with $n-1+g$ pairings, and derive our two results from the contributions of $(n,g)=(1,0)$ and $(2,0)$, respectively. Our analysis makes use of Nazarov-Sklyanin's spectral theory for Jack polynomials. As a consequence, we give new proofs of several results for Schur measures, Plancherel measures, and Jack-Plancherel measures. In addition, we relate our weighted sums of ribbon paths to the weighted sums of ribbon graphs of maps on non-oriented real surfaces recently introduced by Chapuy-Dol\k{e}ga.