2022
DOI: 10.48550/arxiv.2206.02045
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Bilinear character correlators in superintegrable theory

Abstract: We continue investigating the superintegrability property of matrix models, i.e. factorization of the matrix model averages of characters. This paper focuses on the Gaussian Hermitian example, where the role of characters is played by the Schur functions. We find a new intriguing corollary of superintegrability: factorization of an infinite set of correlators bilinear in the Schur functions. More exactly, these are correlators of products of the Schur functions and polynomials K∆ that form a complete basis in … Show more

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Cited by 4 publications
(8 citation statements)
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References 23 publications
(35 reference statements)
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“…In this section, we demonstrate that superintegrability implies a factorization of proper double correlators of the Schur functions, which allows one to rewrite (15) as an explicit series with coefficients being the standard Nekrasov functions.…”
Section: Factorization Of Double Correlatorsmentioning
confidence: 90%
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“…In this section, we demonstrate that superintegrability implies a factorization of proper double correlators of the Schur functions, which allows one to rewrite (15) as an explicit series with coefficients being the standard Nekrasov functions.…”
Section: Factorization Of Double Correlatorsmentioning
confidence: 90%
“…The Kadell formulas, however, demonstrate that, for a particular double-logarithmic Dotsenko-Fateev matrix model [8,14], they do, at expense of a simple pointsplitting by v in (1). This is a drastic simplification as compared to the recently analyzed Gaussian Hermitian model where certain bilinear combinations of characters were also shown to factorize [15], but the simple pointsplitting interpretation is not available.…”
Section: Introductionmentioning
confidence: 85%
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“…Recently there has been increasing interest in the superintegrability for matrix models [1]- [18]. The superintegrability means that for the character expansions of the matrix models, the average of a properly chosen symmetric function is proportional to ratios of symmetric functions on a proper locus, i.e., < character >∼ character.…”
Section: Introductionmentioning
confidence: 99%