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3
votes
Accepted
Concentration of $\ell_2$ norm of a vector sampled from a distribution
WLOG, let $\lambda = 1$ (rescale your problem appropriately, if necessary). Then, it is well-known consequence of Bernstein's inequality (e.g see theorem 3.1.1 of "High-dimensional Probability" book b …
3
votes
Distribution of the individual coordinates of a uniform random vector on a high-dimensional ...
Here is my solution without the reduction trick to $1$D gaussian.
Let $U := X/\|X\|$. Since $U$ is uniformly distributed on the unit $n$-sphere, it follows that the random variable $U^Tz$ has the sam …
2
votes
Concentration bound on maximum subset sum of standard Gaussians
For a subcollection $\mathcal S$ of $k$-element subsets of $[n]$, consider the random variable $Z_{\mathcal S} := \sup_{A \in \mathcal S}|X_A|$, where $X_A:=\sum_{i \in A}X_i$, and the $X_i$'s are iid …
2
votes
What happens to the Gaussian volume of a Borel set when it is translated?
It turns out that Neyman-Pearson theory helps get a nontrivial inequality.
Notations. For a p.s.d matrix $M$ of size $p$, consider the inner product on $\mathbb R^p$
defined by $\langle x,z \rangle_M …
1
vote
An approximation problem w.r.t marginal distribution of coordinates of uniform random vector...
Solution with added restriction that $h$ is Lipschitz continuous
Below, I do some computations which seem to suggest the result is true under some additional smoothness constraints on $h$. I'm not 10 …
1
vote
Accepted
Upper bound for $\mathbb P(|f(A+XX^T)-f(A)| > \epsilon)$, where $A$ is a fixed pd matrix and...
Below, I provide a "high-probability" non-asymptotic bound (see (+) below) based on non-linear Berry-Esseen theory developed by Iosif Pinelis. I'd be grateful if someone would kindly check that I didn …
1
vote
Prove / disprove: If $1 \le n < N$ and $A$ is an $N \times n$ matrix with iid from $\mathcal...
Below, I provide an answer inspired by the comments of user Terry Tao.
Let $n/N =: \lambda \in (0, 1)$ be the aspect ratio of $A$. We will prove the following.
Claim. For every $C>0$, there exists $ …
1
vote
Accepted
Non-asymptotic tail bounds for $D_{\text{Hellinger}}(P\|\hat{P}_N)$
This is what I've come up with. It's too long to be a comment, so I decided to post it as an answer.
So, it was proven in LeCam, L. M. (1969). Théorie Asymptotique de la Décision Statistique, p35 tha …
1
vote
Accepted
Anti-concentration: upper bound for $P(\sup_{a \in \mathbb S_{n-1}}\sum_{i=1}^na_i^2Z_i^2 \g...
As pointed out by a user (Nate Eldgredge) in the comments under the question,
$$
P\left(\sup_{a \in \mathbb S_{n-1}}\sum_{i=1}^n a_i^2Z_i^2 \ge \epsilon\right) = P\left(\max_{1 \le i \le n}Z_i^2 \ge …
1
vote
Isoperimetry on $[0, 1]^n$ w.r.t $\ell_p$ distance, with $p \in [1,\infty]$
I managed to piece together a solution to my problem by reading the first page of this paper http://www-users.math.umn.edu/~bobko001/papers/2010_JMS-165_Conc.on.the.cube.pdf.
I'll only handle the euc …
1
vote
Bounds for the extreme singular-values of random matrix with thresholded entries
Claim. Rescale things so that $\mathbb E [c_{11}^2] = 1$. In the limit when $n,k \to \infty$ such that $k/n=\lambda \in(0,\infty)$, the spectral density of $C$ converges to $MP(\lambda)$.
Proof. Fol …
1
vote
Almost independence of $x^\top a$ and $x^\top b$ for $x$ uniform on the sphere in $\mathbb R...
It turns out that one can get a stronger result than demanded in the question: compute $\Delta(a,b)$ for any $a,b \in S_{d-1}$, perpendicular or not. Indeed,
Claim. If $f(\rho)=a_0 + a_1 \rho + a_2 \ …
1
vote
Use statistical physics ideas ("replica trick") to compute asymptotic value of $\inf_{\|w\| ...
It turns out that the optimal value of the problem can be computed arbitrarily well using basic probability arguments. Of course, this post doesn't answer my question, since the only motivation of the …
1
vote
Isoperimetric inequality for $\epsilon$-expansion of a set only along a certain subspace
I provide a complete solution for the case where $A$ is the intersection of $N = \mathcal O(\mathrm{poly}(n))$ half-spaces $H_i := \{x \in \mathbb R^n \mid x^\top w_i \le b_i\}$, where each $w_i$ is a …
1
vote
Upper-bound for spectral norm of the covariance matrix of a certain Gaussian vector with cor...
Here we bound the entire spectrum of $\Sigma'$, from below and above. This post is inspired by a comment of user @BrendanMcKay.
Claim. $\lambda_\max(\Sigma') = O(m/n)$ and $\lambda_\min(\Sigma') = \O …