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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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Is there a "smooth Kantorovich-Rubinstein duality" for Wasserstein distances on smooth/Euclidean space?

Let $X$ be a compact metric space, and fix an arbitrary point $x_\ast \in X$. By the Kantorovich-Rubinstein duality theorem, the $1$-Wasserstein metric $W_1$ on the set of Borel probability measures ...
Julian Newman's user avatar
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Non-linear diffusion on networks

The diffusion equation with constant diffusion $D$ can be represented as: \begin{equation} \frac{\partial \phi(r, t)}{\partial t}=D \Delta \phi(r, t) \end{equation} where $\Delta$ is the Laplace ...
Matt's user avatar
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A good approximation for collision probability between (two) sets of random variables

We face many places to find the collision probability of two sets (or more) in my case the cryptographic hash functions. We can formalize as; Given two sets of random variables $\mathbf{A}$ and $\...
kelalaka's user avatar
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Bernoulli random matrix and rotationally-invariant ensemble [closed]

I am recently reading about random matrix theory in engineering applications. I come up with the following question. I have been trying to find any references but it doesn't help. Hopefully, anyone ...
Quicky2357's user avatar
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201 views

Couplings as generalized functions

I've been casually reading about optimal transport, and I was intrigued by the Wasserstein metric, in which we define the distance between two measures $\mu$ and $\nu$ on a metric space $X$ by $$ W_p(\...
Danny Stoll's user avatar
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Trying to prove an inequality (looks similar to entropy)

I'm trying to prove the following inequality (or something similar, up to a constant factor in either side of the inequality): $$k\cdot\sum_{i=1}^{k}x_{i}\cdot\ln\left(x_{i}\right)\geq\sum_{i=1}^{k}x_{...
danieljannai's user avatar
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Bounding parameter satisfying a collection of inequalities

I have a set of equations with some inequality constraints that I expect generally does not have a unique solution. The equations take the form below: $$\alpha/N+(1-\alpha)x_1=a_1$$ $$\alpha/N+(1-\...
asd's user avatar
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Conditions for existence of a distribution with full support

Consider a $6\times 1$ continuous random vector $$ \eta\equiv (\eta_1,\eta_2,..., \eta_6) $$ satisfying the following property: $$ \underbrace{\begin{pmatrix} \eta_1\\ \eta_2\\ \eta_3 \end{pmatrix}}_{\...
Star's user avatar
  • 108
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154 views

Q-Gaussian processes and probability space

It is well known that for isonormal Gaussian processes, one can decompose the space $L^2(\Omega)$ into Wiener chaos so that the space $L^2(\Omega)$ is isomorphic to the direct sum of the Wiener chaos, ...
Chris's user avatar
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Do measure-valued dynamical systems correspond to marginals of Markov processes?

Let $(\mu_n)_{n=1}^{\infty}$ be a sequence in $\mathcal{P}_1(X)$ for some compact metric space $(X,d)$. Suppose that there is a weakly-continuous function $F:\mathcal{P}_1(X)\rightarrow \mathcal{P}_1(...
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On independence of multiples of $\mathbb Z_p$

This is a rewording in combinatorial language of a question posed on another forum. The original was posed as a probabilistic problem. Problem set up: Consider for a fixed prime $p$, the ...
Nate River's user avatar
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Integral bound for square of log derivative

I am currently facing the following problem: Given a polynomial $f(x) = \sum_{s \in S_f} u_s x^s$, $f(0)\neq 0$, $\lvert S_f \rvert \leq t$ (i.e. $f$ is $t$-sparse) with $u_s$ coming as samples from i....
Azad Tasan's user avatar
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288 views

Random sampling from modified Erlang distribution [closed]

I am tasked with randomly sampling from the following probability density function, which is a modified Erlang Function: $$f(k,q,\nu)=\frac{(k q)^{k-1}}{[(k-1) !]^{v}} \quad \text { with } \quad q \...
Jack Rolph's user avatar
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Expected value of Taylor series with central moments of binomial variate

I want to understand this entry, but do not understand how the $\mathcal{O}\left(\frac{1}{n^2}\right)$ in the accepted answer comes into play. I reproduce the question here: We have $x \sim \mathrm{...
qwert's user avatar
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Associativity rule for integration against fractional Brownian motion

In Itô calculus, it is easy to construct an associativity rule. Namely, if $B_t$ is a Brownian motion and $M_t = \int_0^t X_s dB_s$ for suitable $X_t$, then we have the following associativity rule: $...
Jose Avilez's user avatar
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A question concerning terminal time

A terminal time $\tau$ is a stopping time satisfying $$\omega \in \{\tau(\omega) > t\} \text{ implies that } \tau(\omega) = t + \tau(\theta_t\omega), $$ for all $t\ge 0$. Here $\theta_t$ is the ...
epsilon's user avatar
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Name of distribution of the parameter of a Poissonian

Consider a Poisson process $\hat{n}$ with with parameter $t$ and distribution $$f_t(n) = e^{-t} \frac{t^n}{n!}$$ Now instead suppose to have a random variable $\hat{t} \in \mathbb{R}^+$ whose ...
tomate's user avatar
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2 answers
266 views

Last crossing of a line by a random walk

Let $X_1, X_2, ...$ be i.i.d. random variables, $\mathbb{E} X_1 > 0$, and let $S_n = \sum\limits _{i = 1} ^n X_i$. Define $\tau = \max \{n \in \mathbb{N}: S_n \leq 0 \}$ with the convention $\tau =...
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Joint distribution of random Fourier coefficients

Consider choosing a Boolean function $f : \{0, 1\}^{n} \rightarrow \{-1, 1\}$ uniformly at random from the set of all Boolean functions and consider the random variable $\left(\hat f(z_{1}), \hat f(z_{...
RandomMatrices's user avatar
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582 views

Integrability of $\int \log(f(x)) f(x) dx$ for a probability density function $f$

I am looking for weak conditions when a probability density function $f$ on $\mathbb{R}^d$ has a finite integral $$ \int_{\mathbb{R}^d} \log(f(x)) f(x) dx. $$ Any references would be appreciated.
Austin's user avatar
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Question on limit in probability of the ratio of max to min of 2 sequences of non-ive, continuous iid random variables with support $[0, \infty).$

For each $ m \ge 1$, let $X_m$ and $Y_m$ be two non-negative iid random variables with the same distribution. (The distributions of $X_m$ may change with different $m$.) **Assume that their support of ...
Learning math's user avatar
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260 views

Entropy of a refinement of a partition

We consider a probability space $(X, B, \mu)$. Let $\alpha$ and $\beta$ be countable partitions of X. We suppose $\beta$ is a refinement of $\alpha$, ie that every set in $\alpha$ is a union of sets ...
catbow's user avatar
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115 views

Average over spheres finite

Let $X_1,...,X_N$ be random variables that are iid with the uniform distribution over $\mathbb S^n.$ I am curious how to see that $f(X_1,..,X_N):=\left \lvert \sum_{i=1}^N X_i \right\rvert^{-1}$ has ...
Pritam Bemis's user avatar
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809 views

Concentration of $\ell_2$ norm of a vector sampled from a distribution

Let $X=(X_1,\ldots,X_n)$, where $X_i \sim P_{p_i}(0,\frac{1}{\lambda})$ are iid, $P_{p_i}$ is sub gaussian distribution for $i^\text{th}$ element, and 0 and $1/\lambda$ are mean and variance. I'm ...
newbie's user avatar
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267 views

Large deviation for Brownian occupation time

I am asking for reference about the large deviation principle (LDP) for the occupation time of a Brownian motion/bridge. Let $f:\mathbb{R} \to \mathbb{R}$ be smooth and compactly supported. My ...
lye012's user avatar
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Gaussian integral $\int_X \|x\|_X^2 \mu(dx)$ in Banach space

For a centered Gaussian measure $\mu$ on a Hilbert space $X$, it is known that $$\int_X \|x\|^2 \mu(dx) = tr(Q)$$ where $Q$ is the covariance operator. Is there a similar version for Gaussian measures ...
Philipp Wacker's user avatar
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How to show $\max_{1\leq i\leq n}(X_i+Y_1)\preceq \max_{1\leq i\leq n}(X_i+Y_i)$?

Let two collections of random variables $\{X_i\}$ and $\{Y_i\}$ be independent and let $\{Y_i\}$ be i.i.d. Then $$\max_{1\leq i\leq n}(X_i+Y_1)\preceq \max_{1\leq i\leq n}(X_i+Y_i).$$ where $\...
Hermi's user avatar
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210 views

Distribution of the direction of Gaussian random variable

Let $X$ be a complex normal random variable. (Or, equivalently, a 2D real normal.) Is it possible to say anything useful about the distribution of the phase of $X$? Is it possible to do estimation on ...
Elena Yudovina's user avatar
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199 views

Is this probability inequality true?

This question may be simple, though I'm not managing to find an answer. Let $X$ and $Y$ be two dependent random vectors in in $\mathbb{R}^d$, with joint probability density $\mu(x,y)$ (with respect to ...
Jack London's user avatar
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121 views

$\sum_{n=1}^{\infty}{\frac{1}{n^{1+\epsilon}}\mathbb{E}\big((|X_n|\mathbb{1}_{|X_n|\leq n})^{1+\epsilon}\big)}<\infty,~~\forall\epsilon>0 $

Let $(E,\mathcal{A},\mathbb{P})$ be a probability space $\{X_n\}$ be a sequence of random variable, such that: $$ (1)~.~~~\sup_n\mathbb E (|X_n|)<\infty\Rightarrow $$ $$ (2)~.~~~\dfrac{M_j}{2}<...
Made's user avatar
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Expectation of inverse of random matrices

Assume that $\mathbf{X}$ is a random positive-definite matrix. Then, is there any upper or lower bound on the expectation of the following expression $$\mathbb{E}[\mathbf{X}^{-1}]-\alpha\mathbb{E}[\...
Math_Y's user avatar
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1 answer
153 views

Probability distribution of random products of elements of a generating set of a finite non-abelian group

Let $G$ be a finite non-abelian group, and consider a choice of $N$ distinct elements $g_{0},g_{1},\ldots,g_{N-1}\in G$ that generate $G$. Now, let $t$ be an arbitrary positive integer, and let $d_{1},...
MCS's user avatar
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181 views

The mean of a running maximum

Suppose $𝑊$ is a one-dimensional standard Brownian motion defined on some probability space $(\Omega, \mathcal F, P)$ and let $𝑋(𝑡):=\exp\{𝑊(𝑡)−\frac{1}{2}𝑡−\frac{1}{𝑡+1}\}$ for $𝑡\ge 0$. Note ...
epsilon's user avatar
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1 answer
101 views

Question of expected number of consecutive coin flip with increasing bias [closed]

This is a question I found on the book and I don't know how to tackle it. Thanks to any help or hint in advance. I have a coin that, I could get the head 100% at the first flip, $\frac{1}{3}$ at the ...
mino's user avatar
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1 answer
163 views

Sphere inversion in Riesz potential

I am reading the paper: ``ON THE DISTRIBUTION OF FIRST HITS FOR THE SYMMETRIC STABLE PROCESSES" by Blumenthal, Getoor and Ray, (Trans. Amer. Math. Soc. 99 (1961), 540-554). On page 546, the authors ...
srg's user avatar
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2 answers
244 views

Spectrum of a Markov kernel acting on $L^2$

Let $P$ be a Markov kernel on a measurable space $(E,\mathcal E)$ admitting an invariant probability measure $\pi$. $P$ acts on $L^2(\pi)$ via $$Pf:=\int\kappa(\;\cdot\;{\rm d}y)f(y).$$ The invariance ...
0xbadf00d's user avatar
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1 answer
112 views

PDF of $z = \exp(j\varphi)$, where $\varphi \sim \mathcal{U}[-a, +a]$ [closed]

How can I find the PDF of $z = \exp(j\varphi)$, where $\varphi \sim \mathcal{U}[-a, +a]$, $i.e.$, a uniformly distributed r.v.? My difficulty here is that it involves complex numbers and I don't know ...
Felipe Augusto de Figueiredo's user avatar
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1 answer
196 views

Coupling between two distributions

Consider $s = \Theta(n^{\delta})$ for a $\delta\in (0,1)$ and let $p\in (0,1)$ with $m = \lfloor pn\rfloor$. Consider the random variable $Y$ which chooses $m$ elements from $\{1,\ldots,n\}$ such that ...
mssmath's user avatar
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2 answers
306 views

Lower bounds on discrete time finite Markov chains hitting probabilities

I am interested in some general theorems related to lower bounds on discrete time finite Markov chains hitting probabilities (preferably ergodic chains , but not necessarily ), with references . ...
Cristian Dumitrescu's user avatar
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1 answer
101 views

If a strong Markov process reaches a Borel set a.s., can it be restarted from that set?

Let $X$ be a strong Markov process on $E$, and $B\in \mathcal B(E)$. Suppose that, for some $x\in E$, $$ P_x(\exists t\ge0 \text{ such that } X_t\in B)=1. $$ My question: Does there exist a stopping ...
user1118's user avatar
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1 answer
75 views

Expected sum of chosen coordinates in a random subset of a Hamming hypercube

Let $S$ = $\{v_1, v_2, ..., v_n\}$ denote a random subset of a Hamming hypercube of dimension $d$, where $n = |S|$ and $n \leq 2^d$. If $v_i$ = $\langle x^i_1x^i_2... x^i_d\rangle$ for all $i \in [1,n]...
kevin's user avatar
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0 votes
1 answer
143 views

Right tail decay of F distribution [closed]

Suppose $X\sim F(a,b)$. Is there any sharp upper bound of the following probability with large $x$? $$\mathbb{P}(X\geq x)$$ what is the order of the above probability as $x\to+\infty$?
neverevernever's user avatar
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1 answer
254 views

Does log-concave approximable distribution satisfy transportation-cost inequality?

Definition: Recall that a distribution $\mu$ on $\mathbb R^d$ is said to be log-convave with constant $c > 0$, if density $d\nu \propto e^{-V}dvol$ satisfying the curvature condition $$ \...
dohmatob's user avatar
  • 6,853
0 votes
1 answer
308 views

Berry-Esseen type theorem for Monotonic independence

The central limit theorem states that, under certain circumstances, the probability distribution of the scaled mean of a random sample converges to a normal distribution as the sample size increases ...
Koushik Ghosh's user avatar
0 votes
2 answers
141 views

A simple equation with a normal distribution [closed]

Let $f$ be the distribution of a normal variable $\mathcal{N}(0,1)$, ie $$ f(x)=\frac{1}{\sqrt{2\pi}}e^{-x^2/2}$$ I have to solve the equation: $$x+y = f(x) - f(y)$$ I was working with mathematica ...
Taylorien's user avatar
  • 131
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1 answer
221 views

Non-erasure probability in a loop-erased random walk in three dimensions

Perform a simple random walk $S(0),S(1),S(2)...$ on $\mathbb{Z}^3$, that is $S:\mathbb{N}\to\mathbb{Z}^3$ with $||S(i)-S(i+1)||_1 = 1$ for all $i$. Now let $\Gamma_n$ be the loop-erasure of the first $...
Kyle Parsons's user avatar
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1 answer
369 views

How to derive this change of measure identity in multi-armed bandits?

We have two Bernoulli distributions with success probabilities $\mu_1$ and $\mu_2$. We sample $n$ times from distribution 1 and the sequence we get is $X_1, \ldots, X_n$. Let $ \hat{kl}_s = \sum_{t=...
Shishir Pandey's user avatar
0 votes
1 answer
150 views

Proving an inequation based on binomial distributions

Problem statement Let $c \in \mathbb{N}$, $n_1 \in \mathbb{N}_0$, and $n_2 \in \mathbb{N}_0$ be integers and $p$ a probability. Furthermore, let $b(m,j,p) = \binom{m}{j}p^j(1-p)^{m-j}$ denote the ...
Permutant's user avatar
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1 answer
191 views

Asymptotically full stationary process

Let $(X_n)_{n \in \mathbb{Z}}$ be a stationary process on a finite set $A$. Say that it is asymptotically full if for every increasing sequence of subsets $B_n \subset A^n$ such that $\dfrac{\#B_n}{\#...
Stéphane Laurent's user avatar
0 votes
1 answer
70 views

How can two random variables are continuous infers that their jointly random variable is continuous [closed]

We assume that $\forall a,b$ suchthat $a^2+b^2>0$, $aX+bY$ is continuous random variable. But we don't assume that $X$ and $Y$ are independent. My question is the following: Is it true that the ...
Golmic's user avatar
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