A Limit Theorem for Shifted Schur Measures
Craig A. Tracy, Harold Widom
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.
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