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Logarithmic Potentials with External Fields

TLDR
In this paper, the authors consider the effects of an external field (or weight) on the minimum energy problem and provide a unified approach to seemingly different problems in constructive analysis, such as the asymptotic analysis of orthogonal polynomials, the limited behavior of weighted Fekete points, the existence and construction of fast decreasing polynomial, the numerical conformal mapping of simply and doubly connected domains, generalization of the Weierstrass approximation theorem to varying weights, and the determination of convergence rates for best approximating rational functions.
Abstract
This treatment of potential theory emphasizes the effects of an external field (or weight) on the minimum energy problem. Several important aspects of the external field problem (and its extension to signed measures) justify its special attention. The most striking is that it provides a unified approach to seemingly different problems in constructive analysis. These include the asymptotic analysis of orthogonal polynomials, the limited behavior of weighted Fekete points; the existence and construction of fast decreasing polynomials; the numerical conformal mapping of simply and doubly connected domains; generalization of the Weierstrass approximation theorem to varying weights; and the determination of convergence rates for best approximating rational functions.

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Orthogonal Polynomials

Vilmos Totik
TL;DR: In this paper, different aspects of the theory of orthogonal polynomials of one (real or complex) variable are reviewed and orthogonality on the unit circle is not discussed.
Journal ArticleDOI

On the distribution of the length of the longest increasing subsequence of random permutations

TL;DR: In this paper, the authors consider the problem of finding an increasing subsequence in a group of permutations of 1,2,..., N, and show that the longest increasing subsequences are 1 2 4 and 1 3 4, respectively.
Journal ArticleDOI

Shape fluctuations and random matrices

TL;DR: In this article, the authors studied a random growth model in two dimensions closely related to the one-dimensional totally asymmetric exclusion process and showed that the shape fluctuations, appropriately scaled, converges in distribution to the Tracy-Widom largest eigenvalue distribution for the Gaussian Unitary Ensemble (GUE).
Journal ArticleDOI

Shape Fluctuations and Random Matrices

TL;DR: In this article, the authors studied a random Groeth model in two dimensions closely related to the one-dimensional totally asymmetric exclusion process and showed that shape fluctuations, appropriately scaled, converges in distribution to the Tracy-Widom largest eigenvalue distribution for the Gaussian Unitary Ensemble.
Posted Content

On the Distribution of the Length of the Longest Increasing Subsequence of Random Permutations

TL;DR: In this article, the authors considered the longest increasing subsequence of a random permutation of numbers and proved that the distribution function for the largest eigenvalue of a GUE matrix converges to the Tracy-Widom distribution.