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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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What is the liminf of a sum of i.i.d. random variables with heavy tails?

Let $\{X_i\}_{i=1}^{\infty}$ be i.i.d. random variables such that: i) $X_i > 0$; and ii) $\textrm{Pr}[X_i > x] \sim x^{-\alpha}$ at large $x$ for some $\alpha \in (0, 1)$. Define the quantities \...
Chris B's user avatar
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1 answer
427 views

Regularity for the sum of iid random variables

Let $(X_i)_{i\in \mathbb{N}}$ iid random variables such that there exists $\alpha>0$ where $\mathbb{P}\left(X_1\in [x,x+1]\right)\leq \alpha$ for all $x\in \mathbb{R}$. Assume $\alpha$ small ...
RaphaelB4's user avatar
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7 votes
2 answers
647 views

Moments of a positive random variable

Suppose one is handed a list of $K$ numbers, with a claim that these numbers are the first $K$ moments of a positive random variable $X$ (meaning there is 0 probability that $X<0$). What is the ...
hwlin's user avatar
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7 votes
1 answer
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Properties of convolutions

Consider the function $$f_{n}(x)=e^{-x^2}x^n.$$ and the function $$h_p(x):=e^{-\vert x \vert^p}.$$ My goal is to analyze $$ F_p(y):=\frac{(f_2*h_p)(y)}{(f_0*h_p)(y)}- \left(\frac{(f_1*h_p)(y) }{(f_0*...
Landauer's user avatar
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7 votes
3 answers
3k views

expected value of squared infinity norm of vector of iid gaussians

Given a random vector \begin{equation} x=(x_1, \ldots, x_n) \end{equation} with independent and identically distributed entries $x_i \sim \mathcal{N}(0,\sigma^2)$, I would like to find a lower ...
sigmatau's user avatar
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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
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7 votes
1 answer
975 views

Prove an anti-concentration inequality for a martingale

My problem can be described easily: I have a sequence $(X_l)_{l \in \mathbb{N}}$ of r.v. adapted to some filtration $(\mathcal{F}_l)_{l \in \mathbb{N}}$, such that $\left|X_{l+1}-X_l\right|\le R$ a. ...
T.T's user avatar
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7 votes
2 answers
626 views

What is the strongest known RSW result in planar percolation?

One of the weakest estimates conjectured to hold for critical planar percolation models (and proved in many cases) is the so-called RSW estimate. RSW estimate is the statement that the probability of ...
John Pardon's user avatar
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7 votes
1 answer
342 views

Upper Bound for the Difference of Even Probability and Odd Probability in Hypergeometric Distribution

Let $X$ be a random variable following the hypergeometric distribution with parameters $N,K,n$, where \begin{equation} Pr(X=k) = \frac{\binom{K}{k}\binom{N-K}{n-k}}{\binom{N}{n}}. \end{equation} To ...
Martin Zhang's user avatar
7 votes
2 answers
234 views

Ising model on lattices with (vertical side length) $\neq$ (horizontal side length)

Consider the Ising model with nearest neighbours interactions on a rectangular lattice $L\times M$. If $L=M$ ($2$-dimensional square lattice), it is known (e.g., by Peierls' argument or Onsager's ...
tituf's user avatar
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7 votes
1 answer
2k views

What is the continuous limit of characteristic functions of probability measures in infinite dimensional spaces?

As we all know that If $\{\varphi_n\}$ is a sequence of characteristic functions of probability measures $\{ \mu_n \}$ on $\mathbb{R}$. And $\lim\varphi_n(t)$ exists for each $t\in \mathbb{R}$. Set ...
Wieshawn's user avatar
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1 answer
753 views

Is every submartingale a convex function of a martingale?

Is every submartingale a convex function of a martingale?
Frank Morgan's user avatar
7 votes
3 answers
542 views

Markov Processes with Given Marginals

Let $\mu_t, t \geq 0,$ be a family of probability measures on the real line. One can assume whatever one wishes about them, although typically they will be continuous in some topology (usually at ...
Tom Alberts's user avatar
7 votes
3 answers
995 views

Kolmogorov probability axioms without non-negativity condition

What is a minimal consistent modification of probability axioms to include negative values? Is it enough to use a minimal modification of axioms obtained by formal exclusion of non-negativity ...
Alex 'qubeat''s user avatar
7 votes
5 answers
514 views

Probability of $\operatorname{Bin}(n,p)=\operatorname{Bin}(n,q)$ is decreasing when $n$ increases

$\newcommand{\Bin}{\operatorname{Bin}}$I would like to show that $\mathbb P(\operatorname{Binomial}(n,p) = \operatorname{Binomial}(n,q))$ decreases when $n$ increases for a fixed pair $(p,q)$. This ...
YuiTo Cheng's user avatar
7 votes
1 answer
556 views

A variation on the Borel–Cantelli lemma theme

Let $X,X_0,X_1,\dots$ be nonnegative independent identically distributed (i.i.d.) random variables. Let \begin{equation*} E:=\bigcap_{n\ge0}B_n, \end{equation*} where \begin{equation*} B_n:=\...
Iosif Pinelis's user avatar
7 votes
1 answer
618 views

Is there any categorical version of central limit theorem?

I'm not sure if the question even makes sense, but I wonder if there's any categorical reason that explains importance of Gaussian/normal distribution. In the ordinary probability theory, I guess ...
Seewoo Lee's user avatar
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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
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7 votes
2 answers
393 views

On a von Bahr–Esseen-type inequality for pairwise independent zero-mean random variables

For $p\in(1,2)$, let $C_p$ be the smallest constant factor $C$ in the von Bahr–Esseen-type inequality \begin{equation}\label{eq:pair}\tag{1} E\Bigl\lvert\sum_{j=1}^n X_j\Bigr\rvert^p\le C\sum_{j=1}...
Iosif Pinelis's user avatar
7 votes
2 answers
1k views

Why is the spectrum of Erdős–Renyi random graph approximately symmetric?

I am recently self-learning random matrix theory and made some simulations about the spectrum of Erdős–Renyi random graph $G(n,p)$ when $np\to\infty$, and $np\to c=2,3$. The plots above are already ...
MikeG's user avatar
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7 votes
4 answers
476 views

What does $\mathbb E_V \max_{x \in V,\,\|x\|=1} x^T Ax$ evaluate to when $V$ is random $k$-dim suspace of $\mathbb R^n$ and $A$ is fixed psd matrix?

Let $G_{k,n}$ be the grassmannian of $k$-dimensional vector spaces of $\mathbb R^n$. By the Courant–Fisher characterization, the $k$th largest eigenvalue of an $n \times n$ psd matrix $A$ is given by $...
dohmatob's user avatar
  • 6,853
7 votes
2 answers
2k views

Proof of extended supermartingale convergence theorem

There is a supermartingale convergence theorem which is often cited in texts which use Stochastic Approximation Theory and Reinforcement Learning, in particular the famous book "Neuro-dynamic ...
FourierFlux's user avatar
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
2 answers
460 views

Gaussian Surface Area of Positive Semidefinite Cone

Let $\mathbb{R}^n$ be the Euclidean space and $A \subseteq \mathbb{R}^n$ be a sufficiently regular set, e.g., one that has smooth boundary or is convex. We define the $\epsilon$-neighbor of $A$ in the ...
Minkov's user avatar
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7 votes
2 answers
186 views

Do successive maximum permutations pick latin squares uniformly?

Suppose we start with a $n\times n$ matrix with entries sampled independently and uniformly at random from $[0,1]$. The weight of a set of entries will simply be the sum of those entries. A ...
Gjergji Zaimi's user avatar
7 votes
1 answer
265 views

Is this simple-looking moment inequality true?

Let $p \ge 1$ be an integer. Does there exist a constant $C_p$ such that for every random variable $X \ge 0$, $$ \mathbb{E} \left[ \left(X - \mathbb{E} \left[ X \right] \right)^{2p} \right] \le C_p \...
Elwood's user avatar
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7 votes
2 answers
606 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
1 answer
583 views

Inequality for the maximum of Gaussian variables

Let $X=(X_1,\dots,X_n)$ and $Y=(Y_1,\dots,Y_n)$ be centered Gaussian vectors with variance matrix $\Gamma_X$ and $\Gamma_Y$. We assume that the matrix $\Gamma_Y-\Gamma_X$ is positive definite. Is it ...
Patrick Tardivel's user avatar
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
3 answers
896 views

A balls and urns model for a hashing problem

Fix $N \in \mathbb{N}$. Suppose we throw $N$ numbered balls into $N$ numbered urns, so that for each $b \in \{1,\ldots,N\}$, ball $b$ lands in urn $j$ with equal probability $1/N$. Choose a number $c \...
Mark Wildon's user avatar
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7 votes
3 answers
413 views

Constructing a Bernoulli random variable for ratio of Bernoulli weights

$X$ and $Y$ are Bernoulli random variables with weights $0 < \alpha < 1$ and $0 < \beta < 1$. Is it possible to construct a sampler for the Bernoulli random variable with weight $\min(\...
Andreas's user avatar
  • 73
7 votes
1 answer
319 views

Why aren't operator semigroups studied from a dynamical perspective?

Often times one talks about iterating a continuous map to get discrete topological dynamics, or having a 1-parameter family of continuous maps to get continuous topological dynamics. When studying ...
Jeff's user avatar
  • 277
7 votes
1 answer
3k views

What is characteristic function of maximum of i.i.d. random variables?

Is is possible to get characteristic function of maximum of i.i.d. random variable sequence? Such as $X_1, X_2$ are two i.i.d random variables, then what is characteristic function of $X=\max(X_1,X_2)$...
parfois's user avatar
  • 83
7 votes
1 answer
482 views

Continuous dependence of the expectation of a r.v. on the probability measure

$\newcommand{\bsV}{\boldsymbol{V}}$ $\newcommand{\bsE}{\boldsymbol{E}}$ $\newcommand{\bR}{\mathbb{R}}$ Suppose that $\bsV$ is an $N$-dimensional real Euclidean space. Denote by $\newcommand{\eA}{\...
Liviu Nicolaescu's user avatar
7 votes
1 answer
499 views

How similar are discrete stable RVs to their continuous analogues?

The generalized central limit theorem of Gnedenko-Levy describes the asymptotic behavior of a sum of IIDRVs which may not have finite mean or variance. Only a small class of limit laws can be realized,...
Steve Huntsman's user avatar
7 votes
2 answers
232 views

Local view of setting p*n out of n bits to 1

For p a constant in (0,1) and n going to infinity such that pn is an integer, consider the distribution on n bits that selects a random subset of pn bits, sets those to 1, and sets the others to 0. ...
Manu's user avatar
  • 393
7 votes
2 answers
617 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
630 views

Local limit theorem for random walks on $\mathbb Z^d$

I'm looking for a reference for the following claim. Let $W(n)$ be a centered random walk on $\mathbb Z^d$ with $W(0)=0$. Suppose that $W(n)$ has a finite second moment. Let $n\ge 1 $ and $k \in \...
Dor's user avatar
  • 723
7 votes
1 answer
328 views

What is the correct notion of morphism between statistical manifolds?

Given two statistical manifolds, is there a notion of "isomorphic"? What are morphisms?
user168590's user avatar
7 votes
1 answer
463 views

Boundedness of total current in electrical network

Consider the following symmetric matrix (adjacency matrix): $$A=(a_{ij})_{1\leq i,j\leq n}$$ such that $a_{ij}=a_{ji}, a_{ii}=0$ and $a_{ij}=0$ for $|i-j|\geq k$ where $k\geq3$. We also have $1\leq a_{...
neverevernever's user avatar
7 votes
2 answers
211 views

Support of closed random walk on $\mathbb Z$

I am researching closed random walks on graphs and have the following problem that I haven't been able to find a reference for. Consider a random walk on $\mathbb Z$ starting at 0 and at each step ...
Peter's user avatar
  • 175
7 votes
2 answers
890 views

Optimisation: $H(X_1) + H(X_2) +H(X_3) - H(X_1+X_2+X_3)$

Consider the following optimisation. $$\max [H(X_1) + H(X_2) +H(X_3) - H(X_1+X_2+X_3)],$$ where H denotes the Shannon entropy, + denotes addition over real numbers, ...
user avatar
7 votes
2 answers
259 views

Slowest initial state for convergence of finite birth-and-death Markov chains

Consider the continuous-time birth-and-death Markov chain on $\{1,\cdots,n\}$ with all rates equal to $1$. Is it true that the convergence to equilibrium, in total variation distance, is slowest when ...
Guillaume Aubrun's user avatar
7 votes
1 answer
311 views

E[X|Y] and E[Y|X]

Suppose $x, y$ are random variables jointly distributed on $[0,1]^2$. The marginal distribution of $x$ is uniform. It is also known that $E[y]=E[x]=\frac12$ and $E[x|y]=y$, so $y$ second-order ...
Lemma1's user avatar
  • 157
7 votes
1 answer
374 views

Sampling uniformly from the vertices of a polytope

I'm looking for a reference on how to sample uniformly (and preferably efficiently, elegantly, etc.) from the vertices of a polytope. I gather that enumerating vertices is hard. I also note the MO ...
Steve Huntsman's user avatar
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
466 views

Martingale version of Bernstein-type inequality for (slightly) heavy-tailed distributions?

It is known that for sub-exponentially distributed martingale difference sequence, the following Bernstein-type inequality holds: $$ ℙ\left(\left| \sum_{i=1}^N a_i X_i \right| \ge t \right) \le 2\...
Nikolayevich's user avatar
7 votes
2 answers
469 views

One dimension random walk. Is hitting time Lipschitz with respect to target?

Consider a random walk $S_t = \sum_{i=1}^{t} X_i$, with $X_i$ i.i.d.. Assume that $X_i \in [0,1]$. Define $\tau(y) := \inf\{t: S_t\geq y\}$, i.e., $\tau(y)$ is the hitting time of $[y,\infty)$. Is ...
Hao Yuan's user avatar
  • 103
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
1 answer
1k views

Moment bounds on exponential martingale

Consider the exponential martingale used in the Girsanov transformation of measure: $$Z(t) = \exp\Big(\int_0^tXdW - \frac{1}{2}\int_0^t|X|^2ds\Big)$$ so that $Z$ solves the sde $dZ = ZXdW$ where $W$ ...
user253775's user avatar

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