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arXiv 1012.4144math-phmath.CAmath.MPmath.PR
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具有秩1外源的实对称、Hermitian和Hermitian自对偶随机矩阵模型的最大特征值(I)

The largest eigenvalue of real symmetric, Hermitian and Hermitian self-dual random matrix models with rank one external source, part I

Dong Wang

摘要:

本文研究了具有秩1外源的实对称($β$ = 1)、Hermitian($β$ = 2)和Hermitian自对偶($β$ = 4)随机矩阵模型的最大特征值的极限位置和极限分布.它们被分析在一个统一的方式由轮廓积分表示的联合概率密度函数的特征值。在单带条件和势函数一定的假设下,得到了当外源矩阵的非零特征值不为临界值时最大特征值的极限位置,并进一步得到了当外源矩阵的非零特征值大于临界值时最大特征值的极限分布.当外部源矩阵的非零特征值小于或等于临界值时,最大特征值的极限分布将在随后的论文中进行分析。本文还给出了所有$β$ > 0的外源模型的定义。

英文摘要:

We consider the limiting location and limiting distribution of the largest eigenvalue in real symmetric ($β$ = 1), Hermitian ($β$ = 2), and Hermitian self-dual ($β$ = 4) random matrix models with rank 1 external source. They are analyzed in a uniform way by a contour integral representation of the joint probability density function of eigenvalues. Assuming the one-band condition and certain regularities of the potential function, we obtain the limiting location of the largest eigenvalue when the nonzero eigenvalue of the external source matrix is not the critical value, and further obtain the limiting distribution of the largest eigenvalue when the nonzero eigenvalue of the external source matrix is greater than the critical value. When the nonzero eigenvalue of the external source matrix is less than or equal to the critical value, the limiting distribution of the largest eigenvalue will be analyzed in a subsequent paper. In this paper we also give a definition of the external source model for all $β$ > 0.

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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