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In this paper, we consider a strongly-repelling model of $n$ ordered particles ${e^{i theta_j}}_{j=0}^{n-1}$ with the density $p({theta_0},cdots, theta_{n-1})=frac{1}{Z_n} exp left{-frac{beta}{2}sum_{j eq k} sin^{-2} left( frac{theta_j-theta_k}{2}right)right}$, $beta>0$. Let $theta_j=frac{2 pi j}{n}+frac{x_j}{n^2}+const$ such that $sum_{j=0}^{n-1}x_j=0$. Define $zeta_n left( frac{2 pi j}{n}right) =frac{x_j}{sqrt{n}}$ and extend $zeta_n$ piecewise linearly to $[0, 2 pi]$. We prove the functional convergence of $zeta_n(t)$ to $zeta(t)=sqrt{frac{2}{beta}} mathfrak{Re} left( sum_{k=1}^{infty} frac{1}{k} e^{ikt} Z_k right)$, where $Z_k$ are i.i.d. complex standard Gaussian random variables.
Let $sqrt{N}+lambda_{max}$ be the largest real eigenvalue of a random $Ntimes N$ matrix with independent $N(0,1)$ entries (the `real Ginibre matrix). We study the large deviations behaviour of the limiting $Nrightarrow infty$ distribution $P[lambda_{
Consider a $n times n$ matrix from the Gaussian Unitary Ensemble (GUE). Given a finite collection of bounded disjoint real Borel sets $(Delta_{i,n}, 1leq ileq p)$, properly rescaled, and eventually included in any neighbourhood of the support of Wign
Under the Kolmogorov--Smirnov metric, an upper bound on the rate of convergence to the Gaussian distribution is obtained for linear statistics of the matrix ensembles in the case of the Gaussian, Laguerre, and Jacobi weights. The main lemma gives an
These lecture notes offer a gentle introduction to the two-dimensional Discrete Gaussian Free Field with particular attention paid to the scaling limits of the level sets at heights proportional to the absolute maximum. The bulk of the text is based
We prove that the random variable $ct=argmax_{tinrr}{aip(t)-t^2}$ has tails which decay like $e^{-ct^3}$. The distribution of $ct$ is a universal distribution which governs the rescaled endpoint of directed polymers in 1+1 dimensions for large time or temperature.