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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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Conditional law as a random measure and convergence of random measures

I'm looking for a reference book or article for the following two facts. In both statements, a Polish space $E$ and an ambient probability space $(\Omega, {\cal A}, \Pr)$ are given, and I consider ...
Stéphane Laurent'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
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5 answers
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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
1 answer
726 views

continuity of the Boltzmann entropy in the Wasserstein metric

For Lebesgue-absolutely continuous probability measures $\rho\ll \mathcal{L}^d$ in the whole space $\mathbb{R}^d$ with finite second moments (i-e $\rho\in \mathcal{P}^2_{ac}(\mathbb{R}^d)$), let $$ \...
leo monsaingeon's user avatar
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
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4 answers
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Is there MDPs (Markov Decision Process) which have a non deterministic optimal policy?

I'm working on Markov Decision Process and I have not found yet an example of MDP that has a stochastic (non deterministic) optimal policy. Is there MDPs that have a stochastic optimal policy or is it ...
Lamine's user avatar
  • 254
8 votes
1 answer
2k views

Van Den Berg-Kesten-Reimer inequality

Van Den Berg-Kesten-Reimer inequality Let $n$ be a positive integer. For $i\in[n]$, let $\Omega_i$ be a finite set and $\mu_i$ a probability measure on it. Set $\Omega=\Omega_1\!\times\!\ldots\!\...
Al-Alimi's user avatar
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A q,t-extension of Plancherel Measure thru Yang-Mills Theory ?

Buried in the physics paper by Nekrasov and Okounkov, a strange identity is proven: $$ \prod_{n > 0} (1 - q^n)^{\mu^2-1} = \sum_{\mathbf{k}} q^{|\mathbf{k}|} \prod_{\square \in k} \left( 1 - \frac{\...
john mangual's user avatar
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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
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2 answers
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Does Multiplicative Version of Azuma's Inequality Hold?

It is known that there are multiplicative version concentration inequalities for sums of independent random variables. For example, the following multiplicative version Chernoff bound. Chernoff bound:...
Liwei Wang's user avatar
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Do the converses of [weak law of large numbers / central limit theorem] hold?

Let $\; X_0,X_1,X_2,X_3,...\;$ be independent and identically distributed (real-valued) random variables. 1. Suppose $\frac1n \cdot\sum\limits_{m=0}^n X_m$ converges in probability. Does it follow ...
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3 answers
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References request: constructive quantum field theory

I am taking a course this semester on QFT, which deals much with constructive quantum field theory. Some of its topics so far involve relationships between non-Gaussian probability measures,Feynman ...
Xuxu's user avatar
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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
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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
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1 answer
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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
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randomness in nature [closed]

What is the explanation of the apparent randomness of high-level phenomena in nature? For example the distribution of females vs. males in a population (I am referring to randomness in terms of the ...
liza's user avatar
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3 answers
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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
  • 71
7 votes
4 answers
3k views

Upper bound of the expectation of sum of the absolute value pairs

We have two arrays $A,B$ of length $n$. All values are i.i.d drawn from same distribution on $[0,1]$. If we sort $A,B$ in non-decreasing order and let $A_{(i)},B_{(i)}$ denote the i-th value in the ...
user avatar
7 votes
1 answer
222 views

Bound on queries to a tree with unusual probabilities

Consider a tree $\mathcal{T}(r) = (V,E)$ rooted at $r \in V$. Let $\kappa_r: V \longrightarrow [0,1]$ such that $\sum_{v \in V} \kappa_r(v)^2 = 1$. Furthermore, for any given vertex $v \neq r$, $\...
Michael Jarret's user avatar
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
2 answers
984 views

Brownian motion in $n$ dimensions

Consider a particle starting at the origin in $\mathbb{R}^n$ and undergoing Brownian motion. Is there an expression known for the probability of the particle hitting the sphere $S^{n - 1}_r = \{x \in \...
user82390's user avatar
7 votes
0 answers
452 views

Does the law of a Feller Process on a non-locally-compact Polish space depend continuously on the initial condition (in Skorohod path-space)?

I am sure this is written down somewhere but cannot find it. Consider a Polish space $E$ and a strong Markov process $(X_t)_{t\ge 0}$ with values in $E$ and cadlag paths. More precisely, we have a ...
Wolfgang Loehr's user avatar
7 votes
3 answers
330 views

Quantifying the noninvertibility of a function

Given a function $f$ from a finite set $X$ to itself, it seems natural to consider $\kappa_f := (\sum_{x \in X} |f^{-1}(x)|^2)/|X|$ as a measure of the non-invertibility of $f$: it equals 1 if $f$ is ...
James Propp's user avatar
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1 answer
627 views

Do there exist three pairwise independent random variables, such that their sum is zero?

Do there exist such three non-constant pairwise independent random variables $X, Y, Z$ such that $X + Y + Z = 0$? I managed only to prove the following two facts: If such $X, Y, Z$ exist, they are ...
Chain Markov's user avatar
  • 2,618
7 votes
1 answer
261 views

Comparison of several topologies for probability measures

Let $X$ be a compact metric space and denote $\mathcal M(X)$ the set of probability measures on $X$. For $\mu\in\mathcal M(X)$ we write $\operatorname{supp} \mu$ for the support of $\mu$. As is well ...
Kass's user avatar
  • 243
7 votes
1 answer
757 views

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
1 answer
355 views

Injectivity of matrix "fingerprint"

Consider $S$, the set of all $n\times m$ real matrices with specified row sums $(r_1,...,r_n)$, column sums $(c_1,...,c_m)$, and strictly positive entries. For any matrix $A$, define $$ D_A(i,j)=\...
Bill Bradley's user avatar
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7 votes
1 answer
309 views

The time to drift a binary string from one state to another via deterministic selection of two possible random bit mutation procedures

I have some length $L$ binary string consisting of an ordered array of bits: $(b_1, b_2, ..., b_{L})$, where all bit values $b_i$ are originally set to zero. I'd like a particular set of $n$ bits to ...
Barium's user avatar
  • 123
7 votes
1 answer
857 views

Trace of inverse of random positive-definite matrix in high dimension?

Consider a random matrix $A \in \mathbb{R}^{n\times n}$ with i.i.d. entries, with symmetric law and finite variance. I am curious about the behavior of $$\mathrm{Tr}( (A^T A + \lambda \mathrm{Id})^{-1}...
Goulifet's user avatar
  • 2,306
7 votes
0 answers
519 views

Squaring random Schwartz distributions

Let $\mu$ denote the centered Gaussian measure on $S'(\mathbb{R}^d)$ with covariance $$ \mathbb{E} [\phi(f)\phi(g)]=\int_{\mathbb{R}^d} \frac{\overline{\widehat{f}(\xi)} \widehat{g}(\xi)}{|\xi|^{d-2[\...
Abdelmalek Abdesselam's user avatar
7 votes
2 answers
605 views

Gaussian and the convex hull of moment curves

Let $c_1,\dots, c_d$ be the first $d$ moments of the standard normal distribution. Does the point $(c_1,\dots, c_d)$ lie in the convex hull of the set $\{(t,t^2,\dots,t^d)\colon t\in[-b,b]\}$, for a ...
Minkov's user avatar
  • 1,127
7 votes
0 answers
245 views

Distribution of trivial subset sums

Suppose I have a set $S$ of $n$ integers picked independently, uniformly at random from $[-L, L].$ Let $z(S)$ be the number of subsets of $S$ which sum to zero. The question is: what is the ...
Igor Rivin's user avatar
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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
  • 1,269
7 votes
1 answer
337 views

First Collision Time for k Random Walkers on a Torus

I consider $k$ random walkers on $\mathbb{Z}^{d}/n \mathbb{Z}^{d}$, the $d$-dimensional torus of side length $n$. More precisely, I will define a Markov chain $Z_{t} = (X_{t}[1], \ldots, X_{t}[k])$ ...
AMQS's user avatar
  • 71
7 votes
1 answer
390 views

Combinatorial/probabilistic statements having $F_{\text{un}}$/$F_q$ geometric interpetation

$\newcommand{\Fun}{F_\text{un}}$There was lots of "Fun with $\Fun$" (field with one element) in recent years. One of the points is that it provides bridge between geometrical and ...
Alexander Chervov's user avatar
7 votes
2 answers
321 views

Random suborbits of a rotation

Let $u_n = x + n\alpha \pmod 1$ with $\alpha$ irrational. We know that $(u_n)_{n \geq 0}$ is dense in $\mathbb{R}/\mathbb{Z}$ (equivalently $(u_n)_{n \geq 0}$ visits every open interval infinitely ...
Stéphane Laurent's user avatar
7 votes
2 answers
639 views

Is there an algebraically normal function from $\mathbb{Z}^{n}$ to $\{ 0 , 1\}$?

Definition: Let $h$ be a polynomial in $n$ variables, then : $\gamma(h,r,R):=\{ v \in \mathbb{Z}^{n} : \vert h(v) \vert \leq r, \Vert v \Vert < R \}$ Let $\omega : \mathbb{Z}^{n} \to \{ 0 , 1\}$...
Sebastien Palcoux's user avatar
7 votes
4 answers
1k views

Is the space of tempered distribution second countable?

Let $\mathcal S '(\mathbb R^d)$ be the space of Schwartz tempered distributions equipped with the weak-* topology. I need to know if this space is second countable, i.e. if this topology has a ...
Thomas's user avatar
  • 630
7 votes
3 answers
496 views

Chernoff-type bounds for a stopped sum of independent random variables

Let $Y_1, \ldots, Y_n$ and $X_1, \ldots, X_n$ be i.i.d. $p$-Bernoulli random variables and let $T \in \{0, \ldots, n\}$ be a stopping time for the process. From Wald's equation, we know $$ E\left[\...
Mathman's user avatar
  • 153
7 votes
2 answers
1k views

Edge probability for connected Erdős–Rényi model

Consider the Erdős–Rényi model $G_{n,p}$ with corresponding probability measure $\mathbb{P}_{n,p}$. For any two vertices $x,y$, $\mathbb{P}_{n,p}[E_{x,y}]=p$, where $E_{x,y}$ is the event that there ...
jondal's user avatar
  • 71
7 votes
0 answers
222 views

Projected polar chessboard measure convergence in total variation?

$\newcommand\R{\mathbb R}\newcommand\C{\mathbb C}\newcommand\ga{\gamma}$For natural $n$, let $E_n$ be the set of all points in $\R^2$ with "polar coordinates" $(r,t)$ in the set $$F_n:=\...
Iosif Pinelis's user avatar
7 votes
1 answer
509 views

An order statistics problem with some interesting geometry

Let $a_n$ be a given sequence of positive numbers, and $X_n$ a sequence of independent random variables with each $X_n$ uniformly distributed on $[0, a_n]$. Question: Let $N \geq 2$ be an arbitrary ...
Nate River's user avatar
  • 6,213
7 votes
2 answers
613 views

Fractional Brownian motion of Riemann-Liouville type is not a semimartingale

Given a filtered probability space $(\Omega,\mathcal{F},\mathbb{F},\mathbb{P})$ satisfying the usual conditions, $B$ a standard one-dimensional Brownian motion and $H\in(0,1/2)$. Consider the process $...
El_mago's user avatar
  • 199
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
1 answer
391 views

Idempotent splitting for Markov kernels

Let $X$ be a standard Borel space and $e : X \to X$ a Markov kernel. Suppose that $e$ is idempotent, that is $e \circ e = e$, or written out using the Chapman-Kolmogorov equation, $$e(A|x) = \int_X e(...
Tobias Fritz's user avatar
  • 6,406
7 votes
0 answers
162 views

Approximating any convex shape in $\mathbb{R}^d$ with a polytope having $\mathrm{poly}(d)$ facets

We denote by $V(A)$ the $d$-volume of any convex set $A$. Furthermore, given any two convex sets $A,B\in\mathbb{R}^d$, we denote by $V_{A,B}$ the $d$-volume of the symmetric difference $V\left(A \...
Penelope Benenati's user avatar
7 votes
1 answer
569 views

Singular Fisher information matrix and existence of unbiased estimators

I'm doing some research into the Cramer-Rao bound for time of arrival localization and have come across a rather strange result: the FIM is singular, but there exists an unbiased estimator. My ...
JNL's user avatar
  • 75
7 votes
1 answer
310 views

Local Lipschitzness of parameterization of Gaussians in Wasserstein space

Fix a positive integer $n$ and consider the $2$-Wasserstein space $\mathcal{P}_2(\mathbb{R}^n)$. Let $X$ be the cone of $n\times n$ symmetric positive semidefinite matrices with Frobenius norm and ...
Justin_other_PhD's user avatar
7 votes
2 answers
706 views

Poisson binomial conjecture

Let $X_i\in\{0,1\}$ be mutually independent and distributed according to $\mathrm{Bernoulli}(p_i)$ and similarly, $Y_i\sim\mathrm{Bernoulli}(q_i)$, for some parameters $p,q\in[0,1]^n$. Put $X:=\sum_{i=...
Aryeh Kontorovich's user avatar
7 votes
2 answers
649 views

What's the standard name for sets of a given size with maximal probability (or a given probability and minimal size)?

The definition I'm going to give isn't quite the concept I really want, but it's a good approximation. I don't want to make the definition too technical and specific because if there's a standard name ...
Darsh Ranjan's user avatar
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