Spectral measure of large random Hankel, Markov and Toeplitz matrices

具有相依元素的 Toeplitz 和 Hankel 矩阵的极限谱分布

Limiting spectral distribution of Toeplitz and Hankel matrices with dependent entries

本文研究具有相依元素的对称 Toeplitz 和 Hankel 矩阵的极限谱分布，基于矩方法给出了 LSD 矩序列的显式表达式，并推广至反循环和对称循环矩阵。

Limit Distribution of Eigenvalues for Random Hankel and Toeplitz Band Matrices

Consider real symmetric, complex Hermitian Toeplitz and real symmetric Hankel band matrix models, where the bandwidth $b_{N}\ra \iy$ but $b_{N}/N \to b$, $b\in [0,1]$ as $N\to \infty$. We prove that the distributions of eigenvalues converge weakly to universal, symmetric distributions $γ_{_{T}}(b)$ and $γ_{_{H}}(b)$. In the case $b>0$ or $b=0$ but with the addition of $b_{N}\geq C N^{{1/2}+ε_{0}}$ for some positive constants $ε_{0}$ and $C$, we prove almost sure convergence. The even moments of these distributions are the sum of some integrals related to certain pair partitions. In particular,…

具有相关输入的高维Toeplitz及相关矩阵的收敛性

Convergence of high dimensional Toeplitz and related matrices with correlated inputs

本文研究了具有成对相关结构的复输入随机Toeplitz矩阵及广义Toeplitz矩阵与相关矩阵的联合收敛性，证明极限仅依赖相关结构且具有普适性，并推广到非对称Hankel矩阵。

Limiting Spectral Measures for Random Matrix Ensembles with a Polynomial Link Function

Consider the ensembles of real symmetric Toeplitz matrices and real symmetric Hankel matrices whose entries are i.i.d. random variables chosen from a fixed probability distribution p of mean 0, variance 1, and finite higher moments. Previous work on real symmetric Toeplitz matrices shows that the spectral measures, or densities of normalized eigenvalues, converge almost surely to a universal near-Gaussian distribution, while previous work on real symmetric Hankel matrices shows that the spectral measures converge almost surely to a universal non-unimodal distribution. Real symmetric Toeplitz m…

Absolute continuity of the limiting eigenvalue distribution of the random Toeplitz matrix

We show that the limiting eigenvalue distribution of random symmetric Toeplitz matrices is absolutely continuous with density bounded by 8, partially answering a question of Bryc, Dembo and Jiang (2006). The main tool used in the proof is a spectral averaging technique from the theory of random Schrödinger operators. The similar question for Hankel matrices remains open.

On the spectral norm of a random Toeplitz matrix

Suppose that $T_n$ is a Toeplitz matrix whose entries come from a sequence of independent but not necessarily identically distributed random variables with mean zero. Under some additional tail conditions, we show that the spectral norm of $T_n$ is of the order $\sqrt{n \log n}$. The same result holds for random Hankel matrices as well as other variants of random Toeplitz matrices which have been studied in the literature.

Fisher-Hartwig 渐近与随机矩阵理论中的对数相关场

Fisher-Hartwig Asymptotics and Log-Correlated Fields in Random Matrix Theory

本论文通过建立 Toeplitz 和 Toeplitz+Hankel 行列式的新渐近公式，研究了随机矩阵与对数相关场的联系，证明了正交与辛矩阵特征多项式收敛到高斯乘性混沌，并建立了酉布朗运动特征多项式对数的动力学收敛。

Bulk behaviour of skew-symmetric patterned random matrices

Limiting Spectral Distributions (LSD) of real symmetric patterned matrices have been well-studied. In this article, we consider skew-symmetric/anti-symmetric patterned random matrices and establish the LSDs of several common matrices. For the skew-symmetric Wigner, skew-symmetric Toeplitz and the skew-symmetric Circulant, the LSDs (on the imaginary axis) are the same as those in the symmetric cases. For the skew-symmetric Hankel and the skew-symmetric Reverse Circulant however, we obtain new LSDs. We also show the existence of the LSDs for the triangular versions of these matrices. We then int…

Fluctuation of Eigenvalues for Random Toeplitz and Related Matrices

Consider random symmetric Toeplitz matrices $T_{n}=(a_{i-j})_{i,j=1}^{n}$ with matrix entries $a_{j}, j=0,1,2,...,$ being independent real random variables such that \be \mathbb{E}[a_{j}]=0, \ \ \mathbb{E}[|a_{j}|^{2}]=1 \ \ \textrm{for}\,\ \ j=0,1,2,...,\ee (homogeneity of 4-th moments) \be{κ=\mathbb{E}[|a_{j}|^{4}],}\ee \noindent and further (uniform boundedness)\be\sup\limits_{j\geq 0} \mathbb{E}[|a_{j}|^{k}]=C_{k}<\iy\ \ \ \textrm{for} \ \ \ k\geq 3.\ee Under the assumption of $a_{0}\equiv 0$, we prove a central limit theorem for linear statistics of eigenvalues for a fixed polynomial with…

稳定 Gauss-Markov 链二次泛函的大偏差与熵产生

Large deviations for quadratic functionals of stable Gauss-Markov chains and entropy production

该研究通过发展拟 Toeplitz 二次泛函的大偏差理论，证明了非平稳中心化稳定 Gauss-Markov 链熵产生率的大偏差原理及 Gallavotti-Cohen 对称性。

Joint convergence of several copies of different patterned random matrices

We study the joint convergence of independent copies of several patterned matrices in the noncommutative probability setup. In particular, joint convergence holds for the well known Wigner, Toeplitz, Hankel, reverse circulant and symmetric circulant matrices. We also study some properties of the limits. In particular, we show that copies of Wigner becomes asymptotically free with copies of any of the above other matrices.

The Classical Compact Groups and Gaussian Multiplicative Chaos

We consider powers of the absolute value of the characteristic polynomial of Haar distributed random orthogonal or symplectic matrices, as well as powers of the exponential of its argument, as a random measure on the unit circle minus small neighborhoods around $\pm 1$. We show that for small enough powers and under suitable normalization, as the matrix size goes to infinity, these random measures converge in distribution to a Gaussian multiplicative chaos measure. Our result is analogous to one on unitary matrices previously established by Christian Webb in [31]. We thus complete the connecti…

Bulk behaviour of Schur-Hadamard products of symmetric random matrices

We develop a general method for establishing the existence of the Limiting Spectral Distributions (LSD) of Schur-Hadamard products of independent symmetric patterned random matrices. We apply this method to show that the LSDs of Schur-Hadamard products of some common patterned matrices exist and identify the limits. In particular, the Schur-Hadamard product of independent Toeplitz and Hankel matrices has the semi-circular LSD. We also prove an invariance theorem that may be used to find the LSD in many examples.