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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.

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Length of nearest neighbor path in travel salesman problem

Given $n$ nodes uniformly distributed in $[0,1]^2$, consider the nearest neighbor algorithm to solve traveling salesman problem, i.e., each time I select the nearest neighbor not visited so far as the ...
lchen's user avatar
  • 367
7 votes
0 answers
497 views

Extreme unitary minimal models of conformal field theory

Some of the best understood conformal field theories are the 2D unitary minimal models $\mathcal{M}(m+1,m)$ indexed by the integer $m\ge 2$ and with central charge $$ c=1-\frac{6}{m(m+1)}\ . $$ I ...
Abdelmalek Abdesselam's user avatar
7 votes
1 answer
499 views

Moments of a random variable and of its conditional expectation

Let $X$ be a bounded random variable with $\mathbb{E}X=0$. Since $X$ is bounded, all its moments exist. Let $\mathcal{G}$ be any $\sigma$-field and let $Y:=\mathbb{E}[X|\mathcal{G}].$ I am interested ...
Hedonist's user avatar
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7 votes
1 answer
3k views

The question about Kolmogorov tightness criterion

We know about Kolmogorov Criterion for the tightness of a stochastic process $X_n(t)$ 1.The sequence $(X_{n}(0))_{n\geq0}$ is tight. 2.There exist constants $\gamma\geq0$,$\alpha>1$, $K>0$ and ...
syh2010's user avatar
  • 71
7 votes
5 answers
682 views

Bound on sum of complex summands involving binomial coefficients

I am trying to find the asymptotic behavior of the sum: $$ \sum^n_{i=0} \begin{pmatrix} 2n \\ i \end{pmatrix} x^i y^{2n-i}$$ as $n\rightarrow\infty$. Here $x$, $y$ are complex numbers and I have $|x|...
teagut's user avatar
  • 93
7 votes
3 answers
6k views

Concentration results for inner products of two independent random gaussian vectors

Hi, I wanted to know if there are standard results on concentration of absolute value of inner products of two random vectors. Thus if $X, Y \in R^m$ are two independent random vectors with each ...
AB-Spc's user avatar
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6 votes
1 answer
349 views

Ramsey type theorem

Let $\mathcal{P}(\{0,\dotsc,7\})$ denote the power set of $\{0,\dotsc,7\}$. Is the following true? For any function $f: \mathcal{P}(\{0,\dotsc,7\})\rightarrow\{0,1\}$ there exists $0\leq k\leq 3$ ...
Jiayi Liu's user avatar
  • 909
6 votes
2 answers
1k views

Do binary symmetric channels maximize mutual information?

Consider the following setup: $(X, Y)$ is a doubly symmetric binary source with parameter $0 < p < 1/2$, i.e., $X \sim \text{Bernoulli}(1/2)$, $Z \sim \text{Bernoulli}(p)$ and $Y = X \oplus Z$. ...
Georg Pichler's user avatar
6 votes
0 answers
300 views

A natural fragmentation process

Starting from the length-1 list whose only entry is 1, iterate the process of replacing the last (and largest) entry in the list of length $n$ (call that entry $m$) by the two numbers $mU_n$ and $m(1-...
James Propp's user avatar
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6 votes
1 answer
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Deviation bound for the maximum of the norm of Wiener process

Let $W(t)$ be an $n$-dimensional Wiener process. Denote by $\chi_n^2$ a chi-squared random variable with $n$ degrees of freedom. I have recently found the following inequality given without proof: $$ {...
Raindog's user avatar
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6 votes
2 answers
5k views

Can I relate the L1 norm of a function to its Fourier expansion?

I would like to express the integral of the absolute value of a real-valued function $f$ (over a finite interval) in terms of the Fourier coefficients of $f$. Failing that, I would like to know of any ...
Gregory Putzel's user avatar
6 votes
1 answer
1k views

About the generating structure of Borel field

This is a graduate-level measure theory problem. I have thought throught it and asked on math.SE but received no satisfying answer. On P.32 of [P.Billingsley] Probability and Measure, 3ed, 1993, the ...
Henry.L's user avatar
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6 votes
1 answer
333 views

Lower bound for probability of getting exactly one head with pairwise independence

Say we toss $d$ pairwise independent coins, each with probability $1/d$ of getting a head. What is the highest lower bound one can give for the probability of getting exactly one head? If they had ...
Simd's user avatar
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6 votes
1 answer
392 views

Does $E^{x,t}(f(X_T))$ solve a PDE if $f$ is not continuous?

Many books [see below for references] explore the connections between partial differential equations and expectation values. Assume $X$ is a diffusion with generator $A$, then they conclude, that ...
JSG's user avatar
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6 votes
1 answer
883 views

Random walk with positive uniformly distributed steps

Let $U_1,U_2,\ldots$ be iid random variables distributed uniformly on $[0,1]$. I am interested in the random walk $X_i = \sum_{j \leq i} U_j$. In particular, What is the expected number of points ...
Yuval Filmus's user avatar
  • 1,906
6 votes
2 answers
293 views

Expectation of the inner product of a subset of two random orthonormal vectors

Setting: Consider sampling two orthonormal vectors $\mathbf{u},\mathbf{v}$ in $\mathbb{R}^p$ (where $p\ge2$) from a "uniform" distribution over the $p$-dimensional sphere (alternatively, ...
Itay's user avatar
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6 votes
0 answers
1k views

Relationship between R-transform and free convolution of random matrices?

I've been using the R-transform to calculate the free convolution of the eigenvalue spectra of two random matrices and I am trying to understand how it works, and in particular how it relates to ...
Jiahao Chen's user avatar
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6 votes
1 answer
1k views

Is there a McDiarmid-type inequality for sequences with a finite range of dependence?

Let $X, X_1, X_2, \ldots, X_N$ be a sequence of identically distributed random variables with $0 \leq X \leq 1$. We do not assume the sequence is iid, but rather allow the random variables to be ...
Scott Armstrong's user avatar
6 votes
4 answers
614 views

Number of intervals needed to cross, Brownian motion

Let $B_t$ be a standard Brownian motion. Let $E_{j, n}$ denote the event$$\left\{B_t = 0 \text{ for some }{{j-1}\over{2^n}} \le t \le {j\over{2^n}}\right\},$$and let$$K_n = \sum_{j = 2^n + 1}^{2^{2n}} ...
user avatar
6 votes
3 answers
938 views

Uniformly distributed sequence in $\mathbb{R}$

We say that a sequence $(x_n)_{n=1}^\infty \subseteq \mathbb{R}$ is "uniformly distributed in $[a,b]$", with $a < b$, if $(x_n)_{n=1}^\infty \cap [a,b] \neq \varnothing$ and $$\lim_{N \to \infty} \...
Fry's user avatar
  • 61
6 votes
1 answer
798 views

Prohorov's theorem for random elements of Hilbert space: weak convergence

Let $(\Omega,\mathcal{F},P)$ be a probability space and let $(E,\mathcal{E})$ be a separable Hilbert space ($E$) with Borel $\sigma$-algebra $\mathcal{E}$. For concreteness let us set $E=L^{2}[a,b]$ ...
Nigel's user avatar
  • 61
6 votes
0 answers
295 views

Dimension-free sample complexity for estimating Gaussian covariance

(also asked on math.se, with no answers) Suppose I have $m$ samples drawn from a Gaussian in $\mathbb{R}^n$, and need sample covariance $\Sigma_m$ to be $\epsilon$-close to true covariance $\Sigma$: $$...
Yaroslav Bulatov's user avatar
6 votes
2 answers
413 views

Random walk in a convex body or convex polytope

Let $\Delta$ be a convex body (i.e. a compact convex subset) or a convex polytope in $\mathbb{R}^n$. Let $x$ be a point inside $\Delta$ and consider a (uniform) random walk starting at $x$ inside $\...
Kiu's user avatar
  • 893
6 votes
2 answers
2k views

Is the Binomial Expectation of Convex Function Convex in p?

Suppose $X$ has a binomial distribution with success probability $p$ and $n$ trials and let $h(\cdot)$ be a positive convex real-valued function. Is the function $g(p)=\mathbb{E}[h(X)\ |\ p]$ convex ...
Hugh Medal's user avatar
6 votes
3 answers
447 views

Isoperimetric inequality for $\epsilon$-expansion of a set only along a certain subspace

Let $\gamma_n$ be the standard gaussian distribution on $\mathbb R^n$. Let $V$ be a $k$-dimensional subspace of $\mathbb R^n$. Finally let $A$ be any (nonempty) Borel subset of $A$ with $\gamma_n(A) = ...
dohmatob's user avatar
  • 6,853
6 votes
1 answer
2k views

Topological conditions of Kolmogorov Extension Theorem

KET is often used to construct stochastic processes in continuous time when the state space is $\Bbb R^d$. As far as I am familiar with its proof, it uses standard monotonic class-like arguments ...
SBF's user avatar
  • 1,655
6 votes
1 answer
1k views

How to check if a symmetric random variables is the difference of two iid symmetric random variables

I have the continuous symmetric random variable $X$ in $\mathbb{R}$. If I know its distribution function $F(x)$ what are the conditions on $F(x)$ so that $X=Y_1 - Y_2$ where $Y_i$ are also iid ...
Jose M. Del Castillo's user avatar
6 votes
2 answers
497 views

Average distance of the mean of $n$ random complex numbers in a unit disc

Let $z_1,z_2,\dots,z_n$ be $n$ complex numbers distributed uniformly and randomly over the unit disc $x^2+y^2 \leq 1$. Let $z$ be the complex number defined by the mean of the of these numbers,that ...
AgnostMystic's user avatar
6 votes
2 answers
756 views

Kolmogorov vs Ionescu-Tulcea extension theorem (again)

Disclaimer. This post is not a duplicate, I have carefully (best I could) read all posts on the subject both here and on math.se and my particular questions have not been asked there. I've recently ...
tsnao's user avatar
  • 620
6 votes
1 answer
269 views

Algebraization of Bayesian networks?

The algebraization of classical propositional logic is Boolean algebra. Bayesian networks are a generalization of classical propositional logic with probability truth-values. What is the ...
YKY's user avatar
  • 558
6 votes
4 answers
3k views

Calculating the probability of an event defined by a condition on a Gaussian random process

Although the question itself can be expressed succinctly, I couldn't come up with a nice self-explanatory title - suggestions are welcome. Motivation/Background I was investigating whether it would ...
Mehmet Ozan Kabak's user avatar
6 votes
3 answers
999 views

Does there exist an almost surely differentiable martingale?

Does there exist a continuous time martingale $X_t$ not a.s. constant in $t$ that is almost surely everywhere differentiable?
Nate River's user avatar
  • 6,223
6 votes
1 answer
196 views

Simultaneous simulation of all probability measures on a compact metric space

A well known fact in probability is that a uniform random variable on $[0,1]$ can be used to simulate any other probability distribution on $\mathbb{R}$. A standard way of doing this is to define, ...
Pablo Lessa's user avatar
  • 4,304
6 votes
2 answers
202 views

Bound on the joint distribution of three real random variables with given two dimensional marginals

Let $X,Y,Z$ be real r.v. with $(X,Y)$, $(Y,Z)$ and $(Z,X)$ centered unit normal. How large can $\mathbb E (XYZ)$ be?
Jean Duchon's user avatar
  • 3,085
6 votes
1 answer
837 views

Average minimum number of random k-sparse vectors in GF(2) to span the whole space?

What is the average minimum required number of independent $k$-sparse (having at most $k$ non-zero elements) random vectors belonging to $\mathbb{F}_2^n$ to span the whole space of $\mathbb{F}_2^n$? ...
mhsnk's user avatar
  • 307
6 votes
1 answer
642 views

Bochner-Minlos for moment-generating functions?

It is well-known that the Bochner-Minlos theorem characterises measures on duals of nuclear spaces by their characteristic functions. Is there a similar version for moment-generating functions? I have ...
iolo's user avatar
  • 651
6 votes
0 answers
321 views

extensions of the Nekrasov-Okounkov formula

This post is related to the issues addressed in A q,t-extension of Plancherel Measure thru Yang-Mills Theory ? however the generalization/interpolation which John Mangual asks for looks different ...
Jeanne Scott's user avatar
  • 2,137
6 votes
1 answer
3k views

Minimum Hamming Distance Distribution in a Random Subset of Binary Vectors+

Select $K$ random binary vectors $Y_i$ of length $m$ uniformly at random. Let the following collection of random variables be defined: $X_{i,j}=w(Y_i \oplus Y_j)$ where $w(\cdot)$ denotes the Hamming ...
kodlu's user avatar
  • 10.4k
6 votes
1 answer
264 views

Which orthant probabilities are the largest? (For a multivariate normal distribution)

I have a $k$-dimensional multivariate normal distribution $X∼N(0,\Sigma)$ with covariance matrix $\Sigma$. $\Sigma$ has two distinct eigenvalues, say $\lambda_1 > \lambda_2$, with orthogonal ...
Matthew Harrison-Trainor's user avatar
6 votes
3 answers
13k views

Probability of one binomial variable being greater than another.

I need to calculate (or bound) the probability that one binomial variable is greater than other. Specifically, if $x \leftarrow B(n,p)$ and $y \leftarrow B(n,q)$, what is the probability that $y \...
user4120's user avatar
6 votes
1 answer
847 views

Publishing an elementary proof of a less-general and less-useful version of a classic result?

Background Let $X_t$ be a stochastic process on the state space {Working, Broken}. Let $U$ be the cumulative sojourn Working during an interval $[0,\tau]$ (the process's uptime). It is well-known [1]...
PtH's user avatar
  • 290
6 votes
1 answer
170 views

Probabilities of small balls with convergent center points under Gaussian measure

I'm in the following situation: Consider a centred Gaussian measure $\mu_0$ on a separable Hilbert space $X$ with covariance operator $Q \in \mathcal{L}(X)$ (positive definite, self-adjoint, trace ...
user111726's user avatar
5 votes
1 answer
275 views

Is there a good notion of "random bounded linear map" on a separable Hilbert space?

Let $H$ be a separable Hilbert space and let $\{e_i\}$ be an orthonormal basis. My first question is: Is there a probability measure on $B(H)$ such that for $T$ chosen uniformly randomly the ...
Paul Siegel's user avatar
  • 29.2k
5 votes
0 answers
797 views

How many balls should we throw into $m$ bins so that at least $k$ bins get at least $r$ balls, with probability $1-\delta$?

Let $m,k,r\in\mathbb N$ and $\delta\in(0,1)$, such that $k\le m$. Suppose that we throw balls uniformly and independently into $m$ bins. I am looking for an upper bound $N_{m,k,r,\delta}$ on the ...
Don C's user avatar
  • 51
5 votes
4 answers
395 views

Concentration of closed random walks

Consider a random walk $S_n=\sum_{i=1}^n X_i$ where $P(X_i=+1)=P(X_i=-1)=1/2$ with $n$ large. By Chernoff's bound we know that, for example, $\sum_{i=1}^{n/2} X_i=O(\sqrt{n})$ with high probability. ...
Sam Spiro's user avatar
  • 470
5 votes
0 answers
2k views

What exactly is the relationship between Donsker-Varadhan variational formula and the Laplace principle?

Given a nice real valued functional $C$ on some probability space $(\Omega, \mathcal F, P_0)$ we have the following Donsker-Varadhan variational representation $$\log E_{P_0}\left[e^C\right]=\sup_{P\...
user479223's user avatar
  • 1,904
5 votes
1 answer
224 views

Conditional expectation of random vectors

$\newcommand{\E}{\mathsf{E}}$ $\newcommand{\P}{\mathsf{P}}$ The following additional question was asked in a comment by user Oleg: Suppose that $(\Omega,\mathcal F,\P)$ is a probability space, $B$ ...
Iosif Pinelis's user avatar
5 votes
1 answer
2k views

Stopping time of two dimensional random walk

Let $U_n=\sum_{i=1}^n X_i,V_n=\sum_{i=1}^n Y_i$, $n\geq 1$, be a two-dimensional random walk with i.i.d. increments $(X_n, Y_n)$, where $X_n, Y_n$ are discrete random variables with joint pmf $P_{X,Y}$...
Kasper's user avatar
  • 93
5 votes
2 answers
352 views

Does this equation has a closed-form solution for $t$? ($(1-p)\sum_{i=0}^{n}t^i = p\sum_{i=0}^{n}(1-t)^i)$)

We are given $n\in \mathbb N^+$ and $p\in[\frac{1}{2},\frac{n+1}{n+2}]$. Our goal is to find $t\in[0,1]$ such that $$(1-p)\sum_{i=0}^{n}t^i = p\sum_{i=0}^{n}(1-t)^i$$ Is there a closed-form solution $...
R B's user avatar
  • 618
5 votes
1 answer
1k views

Explicit constant for Carbery–Wright inequality

The Carbery–Wright inequality is a seminal result about the anti-concentration of polynomials of Gaussian random variables. See e.g. Meka, Nguyen, and Vu - Anti-concentration for polynomials of ...
user134977's user avatar

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