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80 views

Are the roots of an infinitely divisible probability infinitely divisible themselves?

Let $\mu$ be an infinitely divisible probability on a topological group $G$. If $\nu ^{* n} = \mu$ for some $n$, is $\nu$ an infinitely divisible probability too? A sufficient criterion would be to ...
Alex M.'s user avatar
  • 5,407
2 votes
1 answer
533 views

Time interval of existence of an SDE solution with locally Lipschitz drift

Consider the stochastic ODE $$ dX = F(X) \, dt + dB $$ where $B$ is Brownian motion. If the drift $F$ is locally Lipschitz, then the solution exists and is unique over $[0,T]$ where $T$ is an "...
Hausdorff's user avatar
2 votes
1 answer
299 views

Can this particular random matrix model be converted/related to any existing graph theory model?

Context: This a sequel to the question: Is the Erdős–Rényi giant component result applicable here? Consider a matrix whose elements are independently assigned a value $1$ with probability $p$ ...
user avatar
2 votes
0 answers
286 views

Probability of 4 Points being in Convex Configuration

Background of my question is, that I would like to implement a parallel preprocessing for a constructing the convex hull of very huge number of points in the euclidean plane; the idea is to process 4-...
Manfred Weis's user avatar
  • 13.2k
2 votes
1 answer
378 views

Distribution of the Gram matrix

Let $\mathbf{X}$ be an $m\times k$ random matrix ($m>k$) of rank $k$, having the density function $f_\mathbf{X}(X)$. What is the distribution of $\mathbf{Y}=\mathbf{XX}^T$? Basically my question is ...
Peter's user avatar
  • 141
2 votes
1 answer
450 views

Show that the absolute value of this function is twice differentiable except on a set of Lebesgue measure $0$

Let $f\in C^3(\mathbb R)$ with $f>0$ and $$\int f(x)\:{\rm d}x=1\tag1$$ $g:=\ln f$ and assume that $g'=\frac{f'}f$ is Lipschitz continuous (note that this implies that $f'(x)\xrightarrow{|x|\to\...
0xbadf00d's user avatar
  • 167
2 votes
1 answer
437 views

If $g$ is differentiable, how can we show that $z\mapsto1\wedge e^{g(z)}$ is differentiable except on a countable set

If $g:\mathbb R\to\mathbb R$ is differentiable, how can we show that $$h(z):=\min\left(1,e^{g(z)}\right)\;\;\;\text{for }z\in\mathbb R$$ is also differentiable, except at a countable number of points, ...
0xbadf00d's user avatar
  • 167
2 votes
2 answers
119 views

Correlation between the first and a random position of an ergodic bit sequence

Edit: Since the geometric approach did not work, I try now another approach: phrasing the problem as a quadratic programme. Probabilistic version. Let $x=(x_1,x_2, \ldots) $ be an ergodic random ...
Ron P's user avatar
  • 947
2 votes
3 answers
998 views

Sum of Square of the Eigenvalues of Wishart Matrix

Let $A\in\mathbb{R}^{m\times d}$ matrix with iid standard normal entries, and $m\geqslant d$, and define $S=A^T A$. I want to have a tight upper bound for $\sum_{k=1}^d \lambda_k^2$, where $\...
hookah's user avatar
  • 1,096
2 votes
1 answer
237 views

Is the following set compact w.r.t. the Wasserstein distance?

Fix a finite first moment probability measure $q\in\mathcal{P}_1(\mathbb R ^d)$, and real numbers $K,M,R$. Consider the following set: $$A:=\left\{p\in\mathcal{P}_1(\mathbb R ^d): \int |x|dp\leq K, \...
J.R.'s user avatar
  • 291
2 votes
1 answer
273 views

Two kinds of invariance of full conditional probabilities

Given a field $F$ of subsets of $\Omega$, we can define full conditional probabilities to be a function $P:F\times (F-\{ \varnothing \}) \to [0,1]$ such that: $P(-|B)$ is a finitely-additive ...
Alexander Pruss's user avatar
2 votes
1 answer
470 views

Probability a Brownian particle with an exponentially distributed lifetime hits a sphere before vanishing

Imagine I have a point source $p_0 = (x_0,y_0,z_0)$ that releases a point-like Brownian particle with a lifetime given by an exponentially distributed rate parameter $\lambda$. When the particle's ...
Ari's user avatar
  • 43
2 votes
1 answer
198 views

Average cluster size of a n-size vector

Given a vector of $n$ cells and $k$ elements in it, we can define a cluster of elements as a contiguous sequence of elements inside the vector. My goal is to calculate the average cluster size for all ...
Cardstdani's user avatar
2 votes
1 answer
3k views

Empirical estimator fot the total variation distance on a finite space

I have two probability measures $p$ and $p'$ on a finite set $X$ which I do not know precisely, but which I can sample from. I would like to estimate their total variation (omitting multiplier $2$): $$...
SBF's user avatar
  • 1,655
2 votes
1 answer
170 views

Law of large numbers for a continuum of Bernoullis

Suppose I have a family of $n$ independent Bernoulli random variables described by a vector of parameters $(p_i)_{i=1}^n$. As it is well known, the number of successes within this family is a random ...
Francesco Bilotta's user avatar
2 votes
2 answers
331 views

what's the best way to characterise the distribution of prime elements in simple perfect squared squares

DEFINITIONS: A squared rectangle is a rectangle dissected into a finite number, two or more, of squares, called the elements of the dissection. If no two of these squares have the same size the ...
Stuart Anderson's user avatar
2 votes
1 answer
810 views

Set of distributions that minimize KL divergence,

Assuming that $p,q$ are probability distributions defined on the same support $\{x_i\}_{0 \leq i \leq n}$, $\epsilon$ a small real number, and $D_{KL}$ the Kullback-Leibler divergence, is there a ...
Raskol's user avatar
  • 167
2 votes
1 answer
453 views

Weak convergence of probability measures on weak versus strong dual

The space of temperate distributions $S'(\mathbb{R}^d)$ is often equipped with the weak-$\ast$ or with the strong topology. When defining the notion of a probability measure on $S'(\mathbb{R}^d)$, ...
Abdelmalek Abdesselam's user avatar
2 votes
3 answers
335 views

Choosing $n$ times from $n$ objects

I am given $n$ objects and for $n$ times, I pick one of them with uniform probability and put it back after picking it. For $k\in\{1,\ldots,n\}$ let $f_k$ denote the number of times that I have ...
Dominic van der Zypen's user avatar
2 votes
2 answers
736 views

Submartingales bounded in $L^p$, $p>1$

Let $p>1$ be a real number. It is known that if $(X_n)_{n\geq 0}$ is a martingale bounded in $L^p$ (i.e. $\sup\{\mathbb{E}(|X_n|^p), n\geq 0\} < +\infty$ ), then $(X_n)_{n\geq 0}$ converges a....
user avatar
2 votes
0 answers
491 views

Is there a Bayesian theory of deterministic signal? Prequel and motivation for my previous question

This is a prequel to my question: What's the probability distribution of a deterministic signal or how to marginalize dynamical systems? (functional integrals in probability theory) Clearly my ...
Fabrice Pautot's user avatar
2 votes
1 answer
157 views

Is the set of multiple points of the Brownian path $W[0, \infty)$ dense in the plane almost surely?

Let $d = 2$. With probability $1$, is the set of multiple points of the Brownian path $W[0, \infty)$ dense in the plane?
user avatar
2 votes
1 answer
144 views

Do we have independence if we let the indices of the events increase?

Let $(\Omega, \mathscr F, \mathbb P)$ be a probability space. Consider events indexed by $m, n \in \mathbb N$: $ \ \ \ \ \ \ \ \ \ \ \ A_{1,n}, A_{2,n}, A_{3,n} ...$ are n-wise independent. $A_{m,1}...
BCLC's user avatar
  • 247
2 votes
2 answers
485 views

Bayes statistics precisely formulated

I am trying to learn something about Bayesian statistics, however, I am struggling already with the simplest equations and, moreover, with the very basic questions: What are we given? What is our goal?...
Fabian Werner's user avatar
2 votes
1 answer
534 views

Concentration inequality for maximum of gaussians

Let $Z_1,\ldots, Z_n$ be standardized Gaussian random variables and denote $\rho_{ij}=\mathbb{E}Z_iZ_j$. Can one give an asymptotically sharp bound for $$\mathbb{P}\,(\max_{1\leq i\leq n}Z_i>x), \...
TOM's user avatar
  • 2,288
2 votes
1 answer
360 views

Large deviations for maximizer of random walk with drift

Is it easy to write down the large deviations rate for the maximizer of a random walk with negative drift? Let $X_i$ be the (iid, mean $-\mu$, variance $\sigma$, arbitrarily nice tails) jumps of a ...
Elena Yudovina's user avatar
2 votes
1 answer
154 views

Reference Request for Couplings with Conditions

I have two discrete (integer-valued) random variables $A,B$, with $1\le A\le n$ and $1\le B$. A coupling is a joint distribution of $A,B$ with marginal distributions $A,B$. I know there are several ...
The Substitute's user avatar
2 votes
2 answers
403 views

Is this a linear optimization problem? $Ax=0$, $A$ has $m$ rows and $n$ columns, $m \le n$, all entries of $x$ are non-negative

$Ax=0$, $A$ has $m$ rows and $n$ columns, $m \le n$, all entries of $x$ are non-negative. What should $A$ satisfy to guarantee the equation set have only zero solution?
ZhongHua Yan's user avatar
2 votes
1 answer
638 views

$L^p$-convergence of submartingale

Let $p\geq1.$ Consider a $\mathcal{F}_k$-submartingale $(X_k)_k$ in $L^p.$ We can prove easily that $(X_k)_k$ converges in $L^p$ if and only if $(|X_k|^p)_k$ is uniformly integrable. If $(X_k)_k$ was ...
Kurt.W.X's user avatar
  • 249
2 votes
1 answer
834 views

Jacobian of changing of variables to singular value decomposition

It is well known that changing variables from a symmetric matrix to its eigenvalue decomposition involves a Jacobian which is just the Vandermonde determinant of the eigenvalues. Now suppose I have a ...
valle's user avatar
  • 884
2 votes
1 answer
235 views

Sum of squares of middle binomial sums or 'Truncated mean' of binomial coefficients under binomial distribution

$\mu=1+\epsilon$ where $\epsilon>0$ holds. 1.Is there a good bound for $$T=\frac{\sum_{i=-\sqrt{\mu n\ln n}}^{\sqrt{\mu n\ln n}}\binom{n}{\frac n2 +i}^2}{2^n}?$$ This quantity can be ...
VS.'s user avatar
  • 1,826
2 votes
2 answers
564 views

Expected maximum of Laplacian random variables

Let $X={x_1, x_2,...,x_n}$ be Laplacian iid random variables with mean zero and scale $b$. Let $Y = \max(X)$. Is there a closed-form expression for the expectation $E(Y)$? If not, is there any non-...
Ron Banner's user avatar
2 votes
1 answer
137 views

Design constraint systems over the reals

This question is inspired by the discussion at this problem. Suppose I have a design consisting of a finite point set $U$ of size $|U|=m_{\emptyset}$ and a family of $n$ subsets (sometimes called ...
Aaron Meyerowitz's user avatar
2 votes
2 answers
185 views

Independence depth of linearly dependent random variables

Suppose, $\Xi$ is a collection of random variables. We call $\Xi$ $k$-independent, iff any $k$ distinct elements of $\Xi$ are mutually independent. For example, $2$-independence is pairwise ...
Chain Markov's user avatar
  • 2,618
2 votes
2 answers
710 views

Runs in coin flips

Let $P(j,k,n)$ be the probability of getting $j$ uniform runs of length $k$ from $n$ fair coin flips. What's the best way to compute $P$? I have no idea how difficult it might be; if it's a very ...
burtonpeterj's user avatar
  • 1,769
2 votes
1 answer
2k views

The expected minimum Hamming distance within a set of randomly selected binary strings

If I randomly sample with replacement $P$ times from a set of all possible binary strings of length $L$, what is a good lowerbound on the expected minimum Hamming distance between any two of my $P$ ...
Roger S.'s user avatar
2 votes
1 answer
346 views

Relate the solid angle and surface measure of a surface

Let $M$ be a 2-dimensional embedded $C^1$-submanifold of $\mathbb R^3$ with a global chart$^1$ $(U,\phi)$. If $u\in U$ and $x=\phi^{-1}(u)$, let $\nu_M(x)$ denote the unique unit normal vector of $M$ ...
0xbadf00d's user avatar
  • 167
2 votes
1 answer
124 views

Limiting behavior of $k^{th}$ order statistics of n non-i.i.d chi square random variables

This is related to one of my previous questions here. Let $(Z_1, Z_2, \ldots, Z_n)\sim N(0, \Omega)$, where $\Omega = (1-\mu) I_{n\times n} + \mu \boldsymbol{1}_n\boldsymbol{1}_n^\top $. Here $\...
De vinci's user avatar
  • 399
2 votes
2 answers
294 views

Imprecise Definition of a $\sigma$-algebra

I'm reading some works on the hierarchical model in statistical mechanics and I came across an strange definition, which I need to clarify. Consider a finite set $\Lambda \subset \mathbb{Z}^{d}$. The ...
JustWannaKnow's user avatar
2 votes
1 answer
161 views

Expected value of global functions in renormalization group

This is related to my previous question. I'm having some problems understanding the local to global program discussed in Brydge's lecture notes. We are assuming $C=C_{1}+\cdots+C_{N}$ is a covariance ...
JustWannaKnow's user avatar
2 votes
1 answer
189 views

Let $a\in S^d$, $b\in S^{d-1}$ be uniform on the spheres. How to show $\mathbb E[\frac{||a||_1}{\sqrt {d+1}}] \le\mathbb E[\frac{||b||_1}{\sqrt d}]$?

Let $a\in S^d$ and $b\in S^{d-1}$ be points chosen uniformly at random on the $(d+1)$ and $d$-dimensional spheres. I'm interested in showing some inequalities regarding their norms, the simplest being:...
A B's user avatar
  • 55
2 votes
0 answers
124 views

Generalization of the triangle inequality to complex exponents: What is $P\left(\left| x^{a+bi} + y^{a+bi} \right| \ge \left|z^{a+bi}\right|\right)$?

Let $x \le y \le z$ be the length of the sides of a triangle whose vertices are uniformly random on the circumference of a circle. In this question, it was proved that if $a \ge 1$, then the ...
Nilotpal Kanti Sinha's user avatar
2 votes
2 answers
2k views

The probability distribution of random variable of random variable

In my understanding, random variable is a measurable function from a probability space to a measurable space. Suppose $X$ is a random variable from $(A, \sigma_{A},P_A)$ to $(B,\sigma_{B})$. And $Y$ ...
itsuper7's user avatar
  • 131
2 votes
1 answer
386 views

How balanced can abc triples be?

I was looking at the $241$ known "good" abc triples (i.e. with quality $\geqslant1.4$), wondering how frequently $a$ and $b$ would have more or less the same order of magnitude. The outcome is not ...
Wolfgang's user avatar
  • 13.4k
2 votes
0 answers
159 views

Maximizing $\iiint|(x-z)\times(y-z)|d\mu d\mu d\mu$ over probability measures on the unit sphere

This is a follow-up question to the one asked here (the unit circle case). What probability measure(s) maximize the quantity $\iiint_{\mathbb{S}^2}|(x-z)\times(y-z)|d\mu(x)d\mu(y)d\mu(z)$? The ...
Josiah Park's user avatar
  • 3,209
2 votes
1 answer
154 views

Smooth conditional expectation with nonsmooth "reverse"

I am looking for a concrete example of the following: $(X,Y)$ are real-valued random variables such that: $E[Y|X]$ is smooth $E[X|Y]$ is discontinuous Even better, I'd like to see an example where ...
user19200's user avatar
2 votes
1 answer
218 views

Probability distribution optimization problem of distances between points in $[0,1]$

Let $\mathcal{D}$ be a probability distribution with support $[0,1]$. Let $X, Y, Z$ three i.i.d. random variables with distribution $\mathcal{D}$, and $T$ a random variable uniformly distributed in $[...
Penelope Benenati's user avatar
2 votes
1 answer
128 views

Is $\mathbb E\left[\frac{d}{||x||_1^2}\right]=O(1)$ for all $d\in\mathbb R^+$, where $x\in S^{d-1}$ is a random $d$-dimensional unit vector?

Let $x\in S^{d-1}$ be chosen uniformly at random from the $d$-dimensional unit sphere. I want to show that there exists a universal constant $c\in\mathbb R$ such that $\mathbb E\left[\frac{d}{||x||_1^...
A B's user avatar
  • 55
2 votes
1 answer
161 views

Trying to bound one functional by another functional

In my little research project, I faced the following problem: Assume that $\rho$ is a probability density function with support $[0,\infty)$ and mean $\mu >0$. Let $$H[\rho] = \iiint_{y,v,w\geq 0} \...
Fei Cao's user avatar
  • 730
2 votes
1 answer
773 views

On the continuity of map $\Gamma$

Let $M$ be the space of right continuous functions $\ell: \mathbb R_+\to [0,1]$ that are non increasing s.t. $\ell(0)=0$. Define the map $\Gamma : M\to M$ by $\Gamma[\ell](t):=\mathbb P[\tau^{\ell}>...
GJC20's user avatar
  • 1,334