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arXiv 1902.09042math-phmath.MP
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线性和指数格上的经典离散辛系综:斜正交多项式和关联函数

Classical discrete symplectic ensembles on the linear and exponential lattice: skew orthogonal polynomials and correlation functions

Peter J Forrester, Shi-Hao Li

摘要:

辛不变随机矩阵系综的本征值概率密度函数可以推广到涉及线性或指数格的离散设置。相应的关联函数可以分别用某些离散的、$q$、斜正交多项式表示。我们给这两个类的多项式的理论,和相关内核确定的关联函数,在相应的离散酉系综的权重是经典的情况下。对于这一点至关重要的是某些差分算子,它们将相关的对称内积与反对称内积联系起来,并且对相应的(离散或$q$)正交多项式具有三对角作用。

英文摘要:

The eigenvalue probability density function for symplectic invariant random matrix ensembles can be generalised to discrete settings involving either a linear or exponential lattice. The corresponding correlation functions can be expressed in terms of certain discrete, and $q$, skew orthogonal polynomials respectively. We give a theory of both of these classes of polynomials, and the correlation kernels determining the correlation functions, in the cases that the weights for the corresponding discrete unitary ensembles are classical. Crucial for this are certain difference operators which relate the relevant symmetric inner products to the skew symmetric ones, and have a tridiagonal action on the corresponding (discrete or $q$) orthogonal polynomials.

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