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3 votes
0 answers
57 views

Maximizing a Gaussian quadratic form

Let $u$ denote a fixed unit vector in $\mathbb{R}^n$ and $g$ a standard Gaussian vector (in $\mathbb{R}^n$). Consider the map $$ f_n(X) = \mathbb{E} \langle (X^{-1} + gg^T)^{-1} u, u\rangle, $$ ...
Drew Brady's user avatar
1 vote
0 answers
43 views

Moments on the Stiefel manifold

Let $S_{n, k} = \{V \in \mathbb{R}^{n \times k} : V^T V = I_k\}$ denote the Stiefel manifold, $1 \leq k \leq n$. Let $P \in \mathbb{R}^{n \times n}$ denote a symmetric real, positive definite matrix, ...
Drew Brady's user avatar
1 vote
0 answers
92 views

Multilinear non-commutative Khintchine inequality

Let $g_1,\ldots,g_k$ be independent standard Gaussians and for each index $(i_1,\ldots,i_k)\in [n]^k$ let $A_{i_1,\ldots,i_k}$ be a $d\times d$ symmetric matrix. Question: Is there a known bound for ...
user293794's user avatar
0 votes
0 answers
77 views

Maximizing the trace of the resolvent of a Wishart matrix over positive unit trace matrices?

Let $G$ be a standard $d \times d$ Wishart random matrix and consider the problem of maximizing the function $$ f(M) = \mathbb{E}\Big[\mathrm{tr}((G + M^{-1})^{-1})\Big], $$ over the class of real ...
Drew Brady's user avatar
0 votes
1 answer
101 views

Can we show that for every $\delta>0$, there exist constants $\alpha>0, \beta>0$ so that the following inequality holds with high probability?

Consider two $n-$dimensional random vectors $u$ and $v$ uniformly distributed on the sphere. Define $X_n :=u\cdot v$. Note that as $n\to \infty$, $\sqrt{n}X_n \to N(0,1)$ as $n\to \infty$. Fix $\...
Hermi's user avatar
  • 288
2 votes
1 answer
796 views

Can we get that $ P(N^{2/3}(\lambda_N-\lambda_{N-1})\le c)\ge 1-\epsilon$?

Following this question: Can we apply the continuous mapping theorem for the limiting joint distribution of the Tracy-Widom law?. We know that $$ \lim_{N\to\infty}P(N^{2/3}(\lambda_N-2)\le s_1,\dotsc,...
Hermi's user avatar
  • 288
8 votes
1 answer
717 views

Relative Entropy and p-norm

I asked this question on StackExchange but could not get any answer, therefore, I am posting it here. I am currently reading the book "A Dynamical Approach to Random Matrix Theory". The ...
Raghav's user avatar
  • 371
1 vote
1 answer
210 views

Tighter upper bound for $\mathbb{E} [\max_{\sigma \in \{ \pm 1\}^n} \sigma^T W \sigma]$

Following this question I was thinking about ways to improve the upper bound and came up with the following argument. We want to find an upper bound for \begin{equation} \mathbb{E} [\max_{\sigma \in \{...
sigmatau's user avatar
  • 237
13 votes
2 answers
656 views

Random matrix with given singular values

Let $\sigma_1\geq\sigma_2\geq...\geq\sigma_n\geq0$ be any deterministic sequence of positive real numbers such that $\sum_{i=1}^n\sigma_i^2=1$. Let $$D=diag\{\sigma_1,...,\sigma_n\}\in\mathbb{R}^{n\...
neverevernever's user avatar
3 votes
0 answers
77 views

A concentration problem of product of matrices

Let $A$ be an $n \times m$ matrix with non-negative entries and $B \in \mathbb{R^{n\times n}_{\geq 0}}, C \in \mathbb{R^{m\times m}_{\geq 0}}$ be random matrices where B and C are both symmetric and ...
ie86's user avatar
  • 195
3 votes
0 answers
125 views

Concentration of sums of random matrices around the mean, in the Loewner order

Recently, I have found myself interested in concentration properties of random matrices. Specifically I would like to answer questions of the following sort Let $\{X_i\}_{i=1}^n$ be i.i.d. copies ...
Cain's user avatar
  • 393
1 vote
1 answer
121 views

Probability for high mutual coherence on all subsets of a Gaussian vector set

We examine as set of independent normal vectors: $$ \forall i \in [N]\triangleq \{1,\dots,N\}:\,\mathbf{x}_{i}\sim\mathcal{N}\left(0,\mathbf{I}_{d}\right)$$ For any $\epsilon>0$ and $K\leq N$, we ...
Daniel Soudry's user avatar
4 votes
1 answer
207 views

Upper bound on the number of binary matrices with small rank

I'm looking for the tightest upper bound on the number of different binary matrices $A \in {\{-1,1\}^{m \times n}}$ for which $\mathrm{rank}(A)\leq r$. I'm interested in the regime $1 \ll r \ll m \...
Daniel Soudry's user avatar
2 votes
2 answers
383 views

Estimating a Selberg-type integral (or a Fredholm determinant)

I am concerned with the asymptotical behavior of integrals like this for large $n$ $$\frac{1}{n!}\intop_{\Omega}\prod_{1\leq i<j\leq n}(x_{j}-x_{i})^{2}\,\prod_{j=1}^{n}e^{-x_{j}^{2}}dx_{j},$$ ...
Alex Bogatskiy's user avatar
6 votes
1 answer
243 views

Upper bound for a Selberg-type integral over a rectangular region

(Cross-posted from math-SE). I am trying to estimate the values of the following integral for large $n$, $$\frac{1}{n!}\intop_{\Omega}\prod_{1\leq i<j\leq n}(x_{j}-x_{i})^{2}\,\prod_{j=1}^{n}e^{-...
Alex Bogatskiy's user avatar
1 vote
0 answers
112 views

Tools to bound the singular values of a finite sum of random matrices from below?

Matrix Chernoff bounds (see also this arXiv paper) are usually used to give upper bounds on the largest eigenvalue of a finite sum of random matrices. Sometimes it can also be used to give a lower ...
olivia's user avatar
  • 111
1 vote
0 answers
225 views

Is there an improvement for the Schur-Horn inequalities for positive semi-definite matrices?

By the Schur-Horn inequality I am thinking of the statement that for any Hermitian matrix $H$ its diagonal n-tuple $(H_{11},H_{22},..,H_{nn})$ for any choice of basis lies in the convex hull of the $n!...
user6818's user avatar
  • 1,893