多切机制中矩阵模型的渐近展开

IF 1.2 2区 数学 Q1 MATHEMATICS
Gaëtan Borot, Alice Guionnet
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引用次数: 0

摘要

我们在$\beta $矩阵模型中建立了渐近展开,该模型在平衡度量的支持是有限段的联合的情况下具有限制性的非临界势。我们首先讨论这些段的填充分数固定的情况,并证明存在 $\frac {1}{N}$ 扩展。然后,我们研究填充分数之和的渐近线,从而得到多切分机制下初始问题的完整渐近展开。特别是,我们确定了线性统计的波动,并证明它们在规律上近似于高斯随机变量与具有振荡中心的独立高斯离散随机变量之和。填充分数的波动也可以用一个振荡离散高斯随机变量来描述。我们应用我们的结果来研究与一个赫米特矩阵模型($\beta = 2$)以及体外正交($\beta = 1$)和偏正交($\beta = 4$)多项式相关的户田链解的全阶小离散渐近线。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Asymptotic expansion of matrix models in the multi-cut regime
We establish the asymptotic expansion in $\beta $ matrix models with a confining, off-critical potential in the regime where the support of the equilibrium measure is a finite union of segments. We first address the case where the filling fractions of these segments are fixed and show the existence of a $\frac {1}{N}$ expansion. We then study the asymptotics of the sum over the filling fractions to obtain the full asymptotic expansion for the initial problem in the multi-cut regime. In particular, we identify the fluctuations of the linear statistics and show that they are approximated in law by the sum of a Gaussian random variable and an independent Gaussian discrete random variable with oscillating center. Fluctuations of filling fractions are also described by an oscillating discrete Gaussian random variable. We apply our results to study the all-order small dispersion asymptotics of solutions of the Toda chain associated with the one Hermitian matrix model ( $\beta = 2$ ) as well as orthogonal ( $\beta = 1$ ) and skew-orthogonal ( $\beta = 4$ ) polynomials outside the bulk.
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来源期刊
Forum of Mathematics Sigma
Forum of Mathematics Sigma Mathematics-Statistics and Probability
CiteScore
1.90
自引率
5.90%
发文量
79
审稿时长
40 weeks
期刊介绍: Forum of Mathematics, Sigma is the open access alternative to the leading specialist mathematics journals. Editorial decisions are made by dedicated clusters of editors concentrated in the following areas: foundations of mathematics, discrete mathematics, algebra, number theory, algebraic and complex geometry, differential geometry and geometric analysis, topology, analysis, probability, differential equations, computational mathematics, applied analysis, mathematical physics, and theoretical computer science. This classification exists to aid the peer review process. Contributions which do not neatly fit within these categories are still welcome. Forum of Mathematics, Pi and Forum of Mathematics, Sigma are an exciting new development in journal publishing. Together they offer fully open access publication combined with peer-review standards set by an international editorial board of the highest calibre, and all backed by Cambridge University Press and our commitment to quality. Strong research papers from all parts of pure mathematics and related areas will be welcomed. All published papers will be free online to readers in perpetuity.
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