Skip to main content

Questions tagged [pr.probability]

Theory and applications of probability and stochastic processes: e.g. central limit theorems, large deviations, stochastic differential equations, models from statistical mechanics, queuing theory.

Filter by
Sorted by
Tagged with
8 votes
2 answers
891 views

Differentiating an integral that grows like log asymptotically

Suppose I have a continuous function $f(x)$ that is non-increasing and always stays between $0$ and $1$, and it is known that $$ \int_0^t f(x) dx = \log t + o(\log t), \qquad t \to \infty.$$ ...
random_person's user avatar
8 votes
1 answer
969 views

Probabilities independent of ZFC?

Hi guys, is it possible to change the probability of an event via forcing? More precisely, is there an innocent looking question on the probability of "something" whose answer is independent of ZFC? ...
sebastian's user avatar
  • 165
8 votes
3 answers
602 views

Decimating the infinite grid graph

Let $G$ be the graph whose nodes are the points of $\mathbb{Z}^d$ in the nonnegative orthant (i.e., all coordinates are $\ge 0$), with edges connecting each pair of points separated by unit distance. ...
Joseph O'Rourke's user avatar
8 votes
3 answers
509 views

Free probability: A unitary group heuristic for the relationship between additive free convolution and free compression

From one perspective, free probability is the study of how the eigenvalues of large random matrices interact under the basic matrix operations. The free probability operations of free additive ...
Samuel Johnston's user avatar
8 votes
3 answers
8k views

Upper bound total variation by Wasserstein distance for continuous distance

I am reading the survey of the relationships between metrics of distributions (see https://arxiv.org/pdf/math/0209021.pdf for the paper). The general results show that for general distributions, we ...
Felix Y.'s user avatar
  • 163
8 votes
4 answers
510 views

A variant of random walk

Standard random walk assumes a sequence of iid RVs $\{X_i\}_{i\geq 0}$ and studied the distribution of $S_n=\sum_{i=0}^n X_i$. Here, I am wondering whether there is some work on $T_n=\sum_{i=0}^n \...
maomao's user avatar
  • 502
8 votes
2 answers
562 views

When do iterated conditional expectations converge?

Take a probability space $(\Omega,\mathcal{F},\mathbf{P})$ and random variable $X$ satisfying $\mathbf{E}[|X|]<\infty$. Define the iterated expectations of X as follows: $X_0 = X$, and, ...
Ben Golub's user avatar
  • 1,068
8 votes
2 answers
1k views

Kolmogorov 0-1 law counter examples for almost independent variables

According to Kolmogorov 0-1 law, if $ \left(X_{i}\right)_{i=1}^{\infty} $ are independent, then the tail sigma algebra is trivial. I want to construct such variables which are "almost independent&...
Petri Kattilakoski 's user avatar
8 votes
1 answer
719 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
8 votes
1 answer
598 views

Expected value of biggest distance of adjacent points uniformly picked in $[0,1]$

We pick $n\ge 2$ points in $[0,1]$ with uniform distribution. What is the expected value of the largest distance of $2$ adjacent points?
Dominic van der Zypen's user avatar
8 votes
2 answers
4k views

Lower bounds on Kullback-Leibler divergence

This was originally a question on Cross Validated. Are there any (nontrivial) lower bounds on the Kullback-Leibler divergence $KL(f\Vert g)$ between two measures / densities? Informally, I am ...
JohnA's user avatar
  • 710
8 votes
4 answers
2k views

Is every probability measure a pushforward of Lebesgue measure?

If $m$ is a probability measure on a measurable space $(X, \Sigma)$, is there necessarily a measurable function $f : [0, 1] \to X$ such that $m(A) = \mu(f^{-1}(A))$ for all $A \in \Sigma$? ($\mu$ is ...
Hugo's user avatar
  • 83
8 votes
2 answers
343 views

Cubic almost-vertex-transitive graphs with given spanning tree

Consider the infinite 3-regular tree. Pick a vertex $C$, the "center". For any integer $L\ge 1$ consider the closed ball, in the graph distance, of radius $L$ around $C$. Let $T_L$ be the induced ...
Abdelmalek Abdesselam's user avatar
8 votes
2 answers
755 views

The Odds 3 (or More) Group Elements Commute

Some time ago I asked about the odds 2 group elements commute. I wonder about the odds that 3 group elements commute. Is there a "closed" formula for the sum $$ \frac{1}{|G|^3} \sum_{g,h,k} \delta([...
john mangual's user avatar
  • 22.8k
8 votes
3 answers
3k views

Is there any finitely-long sequence of digits which is not found in the digits of pi? [closed]

I know it's likely that, given a finite sequence of digits, one can find that sequence in the digits of pi, but is there a proof that this is possible for all finite sequences? Or is it just very ...
sep332's user avatar
  • 121
8 votes
3 answers
1k views

Singularity of sparse random matrices

The following topic came up in conversation with my office-mate Lionel: Let $p$ be a fixed prime, $c$ a fixed positive real parameter and $n$ a large number. Consider a random $(0,1)$ matrix with ...
David E Speyer's user avatar
8 votes
2 answers
990 views

What is the tropical Robinson-Schensted-Knuth correspondence?

And what are it's applications? A conceptual explanation would be great! Is there an expository note about this somewhere? Some references have already appeared in the answers and comments below. To ...
Gjergji Zaimi's user avatar
8 votes
3 answers
2k views

Sampling uniformly from a sphere

Let $B^{n} _p= ${$ (x_1, \dots, x_n) : |x_1|^p + \dots |x_n|^p = 1 $} be the unit ball in $\mathbb{R}^n$ in the $\ell^p$ norm. If $X_1,\dots,X_n$ are iid $\exp(1)$ -distributed random variables, then ...
Erik Aas's user avatar
  • 406
8 votes
2 answers
6k views

Normal distribution with positive SEMI-definite covariance matrix

In [1] is noted, that a covariance matrix is "positive- semi definite and symmetric". I wonder if it is possible to a multivariate normal distribution with a covariance matrix that is only ...
Manuel's user avatar
  • 89
8 votes
2 answers
1k views

Probability of a black path on a random chess board

Take a $2n$ by $2n$ chess board (oriented so the grid lines are vertical and horizontal). Usually there are $2n^2$ squares coloured black and $2n^2$ squares coloured white so that a black square is ...
alext87's user avatar
  • 3,217
8 votes
2 answers
4k views

Expected value of min of variables - what informations do I need?

I encountered a problem where I need to compute: $$\mathbb{E}(U) = \mathbb{E}(\min(X_1, .. , X_6))$$ The problem is that I have little information on the $X_i$. Basically I know $\mathbb{E}(X_i)$ and $...
Qise's user avatar
  • 267
8 votes
3 answers
617 views

Explain seemingly non-random figures which arise from random Poisson points with normalization

Context Working with some biological datasets it was puzzling to see the patterns like Figure 2 (right) below. The first feeling was, that it corresponds to some biological effects like correlations ...
Alexander Chervov's user avatar
8 votes
1 answer
380 views

Question about estimating random symmetric sums modulo p

Let $n > 0$ be a positive integer (large) and $p > 2$ a fixed prime number. What is the probability that $$\sum_{ 1 \leq i < j \leq n} a_ia_j = 0 \mod p$$ where $a_1, a_2, \dots a_n$ are ...
shurtados's user avatar
  • 1,101
8 votes
2 answers
387 views

Are we able to estimate the fraction of the domain where $\cos (ax)+2\cos (b x)$ with $\frac ab \notin\mathbb{Q}$ is positive?

We know that the two functions $\{\;\cos (ax),\;2\cos (b x)\;\}$ where $\frac ab \notin \mathbb{Q}$ are independently positive (and negative) over $\frac 12$ of the domain. Is it possible to estimate ...
user avatar
8 votes
2 answers
3k views

Intuition/elegant reason for why Langevin diffusion converges to $\exp(-U)$?

Given a potential function $U: \mathbb{R}^n \to \mathbb{R}$, Langevin diffusion is gradient descent plus a Brownian motion term: $X' = -\nabla U(X) + \sqrt{2} \text{ }dW$. It happens that the ...
Linus Hamilton's user avatar
8 votes
2 answers
654 views

Average of the maximum matrix element over the Haar measure

Let $U$ be a $d\times d$ unitary matrix, and $U_{i,j}$ be its matrix elements. I am interested in the following quantity $$\int dU \max_j |U_{1,j}|^2 \ , $$ where $dU$ is the uniform Haar measure over ...
user149918's user avatar
8 votes
2 answers
1k views

Talagrand's inequality for the discrete cube

Talagrand showed that if $f$ is a convex $1$-Lipschitz function on $\mathbb{R}^n$, and if $\mu$ is a product of probability measures supported over the interval, then $f$ has Gaussian concentration w....
alesia's user avatar
  • 2,772
8 votes
2 answers
512 views

The average of reciprocal binomials

This question is motivated by the MO problem here. Perhaps it is not that difficult. Question. Here is an cute formula. $$\frac1n\sum_{k=0}^{n-1}\frac1{\binom{n-1}k}=\sum_{k=1}^n\frac1{k2^{n-k}}...
T. Amdeberhan's user avatar
8 votes
5 answers
3k views

Another colored balls puzzle (part II)

The same colleague as in Another colored balls puzzle asked me the following variant which she called "part II". Imagine you have $n$ balls in a bag that are colored from $1$ to $n$. At each turn ...
8 votes
3 answers
4k views

What is the probability that 4 points determine a hemisphere ?

Given 4 points ( not all on the same plane ), what is the probability that a hemisphere exists that passes through all four of them ?
sanz's user avatar
  • 383
8 votes
3 answers
2k views

Recommendation for learning mathematical statistics and probability

I can easily find my way reading a book on homological algebra or algebraic geometry, but I tried once reading a book on statistics and... I felt dumb really: I simply do not understand the ...
huurd's user avatar
  • 1,031
8 votes
5 answers
685 views

Distributions of distance between two random points in Hilbert space

Let $\mu$ be a probability distribution on a separable infinite-dimensional Hilbert space. Let $D$ be the distance between two independent random samples from $\mu$. So $D$ has some probability ...
David Aldous's user avatar
8 votes
1 answer
171 views

On the existence of a particular type of finite measure on $\mathbb N$

Let $\mathbb N$ denote the set of all positive integers. Does there exist a countably additive measure $\mu : \mathcal P(\mathbb N) \to [0,\infty)$ such that $\mu(\mathbb N)<\infty$ and $\mu(\{nk: ...
user521337's user avatar
  • 1,209
8 votes
1 answer
2k views

What is the order of the lower tail of a Chi-Squared distribution?

Let X be a random variable with having a chi-squared distribution with n degrees of freedom and let y be some real number at most n. Is it known how P (X < y) behaves at least in some reasonable ...
TOM's user avatar
  • 2,288
8 votes
3 answers
745 views

probability of IID sum being positive

Let $X_1,X_2,...$ be iid random variable with mean zero. If $X_1$ has second moment then by the CLT we have $P(X_1+X_2+...+X_n\geq 0)\rightarrow \frac{1}{2}$, as $n$ goes to infinity. I am curious ...
John Wong's user avatar
  • 773
8 votes
3 answers
789 views

A Variance-Tail Description for Continuous Probability Distributions

Start with a continuous probability distribution given by a density function f(x). Let X be a real random variable whose distribution is given by the probability distribution. I would like to ask ...
Gil Kalai's user avatar
  • 24.7k
8 votes
3 answers
749 views

non-integrable subadditive ergodic theorem

Dear MO_World, I have (another) question about relaxing the assumptions in the sub-additive ergodic theorem. Apologies if this is something I should know already... There are a number of statements ...
Anthony Quas's user avatar
  • 23.2k
8 votes
6 answers
761 views

Diffusion sample paths as deformed Brownian sample paths

Suppose $X$ is a non-explosive diffusion with dynamics $dX_t = \mu(X_t)dt + \sigma(X_t)dW_t$, where $W$ is a standard Brownian motion. My intuition about $X$ is that if $\mu$ and $\sigma$ are ...
Simon Lyons's user avatar
  • 1,666
8 votes
3 answers
847 views

Random linear recurrence relations

Problem I am interested in the random recurrence relation of the form $x_{n+1}=\alpha x_n \pm \beta x_{n-1}$ where $\alpha$, $\beta$ are known constants and the $\pm$ sign is chosen with equal ...
alext87's user avatar
  • 3,217
8 votes
5 answers
758 views

Coupling of Wiener processes

Is it possible to find a coupling of two Wiener processes $W^0, W^x$ (i.e. two Wiener processes defined on a common probability space). One starting from $0$ and the other from $x$ such that $W_t^0 -...
Piotr Miłoś's user avatar
8 votes
2 answers
644 views

Uniqueness of the uniform distribution on hypersphere

I'm looking for a uniqueness-type result for the following problem, which is related to the uniform distribution in the hypersphere $\mathbb{S}^{p-1}$. Suppose $f$ is a sufficiently smooth function on ...
pat2211's user avatar
  • 81
8 votes
2 answers
566 views

Existence of solutions to the heat equation on nonsmooth domains

Let $\Omega \subset \mathbb{R}^n$ be a compact domain and for given functions $g: \partial \Omega \times [0,T] \to \mathbb{R}$ and $h: \Omega \to \mathbb{R}$ consider the heat equation $$ \begin{cases}...
Brazilian Cérebro's user avatar
8 votes
2 answers
422 views

Regularity of translations for Brownian motion

Let $B_t$ be the classic Brownian motion. I understand that, if $s>1/2$, almost surely $B_t$ is nowhere $s$-Hölder continuous i.e. almost surely for no point $x$ it happens that $B_t\in C^s(x)$. ...
pipenauss's user avatar
  • 319
8 votes
4 answers
776 views

Self-contained formalization of random variables?

I have not been able to find any formalization of random variables that supports construction of new random variables dependent on previously constructed ones. In what I have found, a random variable $...
user21820's user avatar
  • 2,912
8 votes
2 answers
488 views

Probability of sequence of coin flips palindrome

I am flipping a coin at least 3 times, and then until the sequence of coin flips is a palindrome. What is the mean number of flips I will perform? What is the probability I won't stop?
Joshua Haim Mamou's user avatar
8 votes
3 answers
3k views

Prove that a sub-Gaussian random vector over a finite set $S \subset\mathbb R^n$ implies that $|S|$ is exponentially large

Let $X$ be an isotropic random vector (i.e. $E[XX^T]=I_n$) and $X$ takes value in a finite set $S \subset\mathbb R^n$. If $X$ is a sub-Gaussian random vector and the norm $\|X\|_{\psi_2}\le C$ where $...
zbh2047's user avatar
  • 611
8 votes
3 answers
660 views

The minimum-perimeter triangle of three sets of points

If $X$ and $Y$ are two sets of $n$ independent, uniformly sampled points in the unit square, then standard methods can show that the expected minimum distance between points in $X$ and $Y$ is ...
Tom Solberg's user avatar
  • 4,049
8 votes
3 answers
1k views

Expected distance between two points in the plane

Let $f(x)$ be a continuous probability distribution in the plane. It is obvious that if $X$ and $X'$ are two independent random samples from $f$, then $\mathbf{E}(\|X - X'\|) \leq 2 \mathbf{E}(\|X\|)$...
Charlie's user avatar
  • 83
8 votes
4 answers
8k views

Limits of binomial distribution

We know that as $n \to \infty$, the binomial distribution $B(n, p)$, with fixed $p$, after appropriate normalization, converges to a normal distribution. If $p = c/n$ for some constant $c$, then it ...
Graduate student's user avatar
8 votes
1 answer
4k views

Skellam distribution: Deep connection between Poisson distributions and Bessel function?

The probability mass function for the Skellam distribution for a count difference $k=n_1-n_2$ from two Poisson-distributed variables with means $\mu_1$ and $\mu_2$ is given by: $$ f(k;\mu_1,\mu_2)= ...
vonjd's user avatar
  • 5,935

1
19 20
21
22 23
181