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arXiv 0909.0854math-phhep-thmath.MP
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矩阵模型和(p,q)Liouville引力的普适标度极限

Universal scaling limits of matrix models, and (p,q) Liouville gravity

Michel Bergere, Bertrand Eynard

摘要:

我们证明了在矩阵模型特征值的平衡密度与y ~ x^{p/q}相似的点附近,随机矩阵的关联函数在适当的标度下是由泛(p,q)-极小模型核的行列式给出的.这些(p,q)核可以写成q阶线性方程的函数解,多项式系数至多为p。例如,在正则边y ~ x^{1,2}附近,(1,2)核就是Airy核,我们恢复了Airy定律。这些核与(p,q)极小模型相关联,即弦方程的KP层次解的(p,q)约简。这里我们只考虑1-矩阵模型,其中q=2。

英文摘要:

We show that near a point where the equilibrium density of eigenvalues of a matrix model behaves like y ~ x^{p/q}, the correlation functions of a random matrix, are, to leading order in the appropriate scaling, given by determinants of the universal (p,q)-minimal models kernels. Those (p,q) kernels are written in terms of functions solutions of a linear equation of order q, with polynomial coefficients of degree at most p. For example, near a regular edge y ~ x^{1/2}, the (1,2) kernel is the Airy kernel and we recover the Airy law. Those kernels are associated to the (p,q) minimal model, i.e. the (p,q) reduction of the KP hierarchy solution of the string equation. Here we consider only the 1-matrix model, for which q=2.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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