A Limit Theorem for Shifted Schur Measures
Abstract
To each partition λ with distinct parts we assign the probability Qλ(x) Pλ(y)/Z where Qλ and Pλ are the Schur Q-functions and Z is a normalization constant. This measure, which we call the shifted Schur measure, is analogous to the much-studied Schur measure. For the specialization of the first m coordinates of x and the first n coordinates of y equal to α (0<α<1) and the rest equal to zero, we derive a limit law for λ1 as m,n∞ with τ=m/n fixed. For the Schur measure the α-specialization limit law was derived by Johansson. Our main result implies that the two limit laws are identical.
Turn this paper into a full lesson
ArcXiv compiles a staged curriculum from this paper: 8-12 lessons across beginner → advanced, synthesised section guides, visuals, flashcards, a quiz, exercises, and on-demand deep dives per section. Grounded in the abstract, never invented.