2018
DOI: 10.3842/sigma.2018.001
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Asymptotic Formulas for Macdonald Polynomials and the Boundary of the (q,t)-Gelfand-Tsetlin Graph

Abstract: Abstract. We introduce Macdonald characters and use algebraic properties of Macdonald polynomials to study them. As a result, we produce several formulas for Macdonald characters, which are generalizations of those obtained by Gorin and Panova in [Ann. Probab. 43 (2015), 3052-3132], and are expected to provide tools for the study of statistical mechanical models, representation theory and random matrices. As first application of our formulas, we characterize the boundary of the (q, t)-deformation of the Gelfa… Show more

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Cited by 9 publications
(17 citation statements)
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“…where the Sign N -valued random variable X N is defined by X N (ω) = r(ω N ) for any ω ∈ Ω. This is nothing but a (q, t 2 )-central probability measure (see [5,Definition 6.4]). With these preparations, by Formula (2.9), we define the (q, t)-analogue F ν (q, t) to be Using the branching rule for Macdonald polynomials, we can confirm that Tr(F ν (q, t)) = P ν (t N −1 , t N −3 , .…”
Section: Appendix B (Q T)-central Probability Measuresmentioning
confidence: 99%
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“…where the Sign N -valued random variable X N is defined by X N (ω) = r(ω N ) for any ω ∈ Ω. This is nothing but a (q, t 2 )-central probability measure (see [5,Definition 6.4]). With these preparations, by Formula (2.9), we define the (q, t)-analogue F ν (q, t) to be Using the branching rule for Macdonald polynomials, we can confirm that Tr(F ν (q, t)) = P ν (t N −1 , t N −3 , .…”
Section: Appendix B (Q T)-central Probability Measuresmentioning
confidence: 99%
“…It may be important to notice that the consideration here suggests that any Stratila-Voiculescu AF-flow on the same Stratila-Voiculescu AF-algebra as that of U q (or equivalently that U (∞)) can be interpreted as a possible deformation of the Gelfand-Tsetlin graph in the algebraic level. On the other hand, according to the consideration here, we can regard a generating function of extremal (q, t 2 )-central probability measure (see Theorem 5.5 (or Section 6) in [5]) as (q, t)-analogue of Voiculescu function.…”
Section: Appendix B (Q T)-central Probability Measuresmentioning
confidence: 99%
“…. , x n ; q, t), which feature two parameters q, t and specialize to Hall-Littlewood polynomials when q = 0; see [BO12,Cue18,Gor12,OO98,Ols21]. In special cases these combinatorial results take on additional significance in representation theory and harmonic analysis; the Schur case was already mentioned, and two other special cases of the result of [OO98] for the Jack polynomial case specialize to statements about the infinite symmetric spaces U (∞)/O(∞) and U (2∞)/Sp(∞).…”
mentioning
confidence: 99%
“…The boundary classification results of [Gor12] are generalized in [Cue18] to the Macdonald case with cotransition probabilities P µ/λ (t n ; q, t = q k ) P λ (1, . .…”
mentioning
confidence: 99%
“…It was natural to consider the degeneration of the parameters q, t used for Macdonald characters in the "Jack regime" t = q θ , q → 1, and ask whether the formulas from [Cu] degenerate into formulas for Jack characters. It will be shown that certain formulas do admit a degeneration, but not all: the multiplicative formula for Macdonald characters, [Cu,Thm. 4.1], cannot be degenerated.…”
mentioning
confidence: 99%