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arXiv 2104.11550hep-thmath-phmath.MP
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Virasoro与超可积性。高斯埃尔米特模型

Virasoro versus superintegrability. Gaussian Hermitian model

A. Mironov, V. Mishnyakov, A. Morozov, R. Rashkov

摘要:

矩阵模型的维拉索罗约束和KP可积性(行列式公式)之间的关系是一个持久的谜。我们详细说明的索赔,情况得到改善时,可积性增强到超可积性,即明确的高斯平均值的字符的公式。在这种情况下,维拉索罗约束等价于简单的递归公式,其具有适当的字符组合作为其解。此外,我们还可以很容易地分离对矩阵大小的依赖,并从维拉索罗约束推导出超可积性.我们描述的方法之一,这样做的高斯厄米矩阵模型。其结果是一个非常优雅的重新制定的维拉索罗约束作为身份的舒尔功能评估在适当的位点在时间变量的空间。

英文摘要:

Relation between the Virasoro constraints and KP integrability (determinant formulas) for matrix models is a lasting mystery. We elaborate on the claim that the situation is improved when integrability is enhanced to super-integrability, i.e. to explicit formulas for Gaussian averages of characters. In this case, the Virasoro constraints are equivalent to simple recursive formulas, which have appropriate combinations of characters as their solutions. Moreover, one can easily separate dependence on the size of matrix, and deduce superintegrability from the Virasoro constraints. We describe one of the ways to do so for the Gaussian Hermitian matrix model. The result is a spectacularly elegant reformulation of Virasoro constraints as identities for the Schur functions evaluated at appropriate loci in the space of time-variables.

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