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10 votes
4 answers
680 views

The min of the mean of iid exponential variables

Let $X_1, \ldots, X_n, \ldots$ be iid exponential random variables with mean 1. It is well-known that $\min_{1\le j < \infty} \frac{X_1 + \cdots + X_j}{j}$ follows the uniform distribution U(0,1). ...
John Wong's user avatar
  • 773
6 votes
0 answers
183 views

Distribution of the stopping time of an autoregressive sequence

Consider $e_t$ being i.i.d. uniformly chosen from $\pm 1$. Let $\eta$ be a small positive constant. What is the distribution of $T$ such that $\eta^{0.5} (1+\eta)^T W_T$ first hits $\pm 1$, in which $$...
Minkov's user avatar
  • 1,127
5 votes
1 answer
297 views

Random walk with continuously distributed steps on [-1,1]

A simple random walk $S_n = X_1 +\cdots +X_n$, where $P(X_i = 1) = p \not = 0.5$ and $P(X_i=-1)= q \triangleq 1-p$, admits the following probability $$P(S_n \textrm{ reaches } a \textrm{ before} -b) =...
mikew's user avatar
  • 108
5 votes
0 answers
130 views

Random process on a sequence of rolls of an $n$-sided die

Let $\ X:=X_{k\,n}\ $ be a random variable of a $n$-sided die where $\Pr(X=i)=\frac{1}{n}$ for each $i\in\{1,2,\ldots,n\},\ $ where $\ k\in\{1, 2, \ldots,n\}\ $ and $\ n\ $ are fixed. Let $t$ be a ...
Let101's user avatar
  • 83
4 votes
2 answers
480 views

Hitting probability of a line

Consider a simple (nearest neighbor) random walk on a lattice $\Bbb Z^2$ which starts at the origin, is constrained to $x\ge 0$ halfplane, and stops when it hits the line $x=n$. Denote by $p(n,k)$ ...
Igor Pak's user avatar
  • 17k
3 votes
2 answers
229 views

Expectation of the exitpoint distance for the symmetric random walk

Let $\nu(x)$ be a symmetric probability measure with respect to the origin on $x\in[-1,1]$ such that $\nu(\{0\})\neq 1$. Consider a random walk started at $S_0=0$, denoted $S_n=X_1+\dotsb+X_n$, ...
lang zou's user avatar
3 votes
1 answer
281 views

Stein's Equation for Gaussian Mixtures

In the paper "Spin glasses and Stein's method" (https://arxiv.org/pdf/0706.3500.pdf), Sourav Chatterjee established Stein's equation for mixtures of two Gaussian densities in $\mathbb{R}$, which takes ...
Minkov's user avatar
  • 1,127
3 votes
1 answer
196 views

Minimizer of two random walks

Consider the following two random walks: The first random walk $\{S_n\}$ has i.i.d. step size $$ X_i\sim\mathcal{N}(1,1) $$ The second random walk $\{S'_n\}$ has i.i.d. step size $$ Y_i\sim\mathcal{...
Oliver's user avatar
  • 103
2 votes
1 answer
521 views

Limit of a rescaled random sum of i.i.d. random variables

Consider a sequence of i.i.d. random variables $(X_i)_{i \in \mathbb N}$ and let $S_n=X_1+\dots+X_n$ For every $\alpha \in ]0,+\infty[$, let $N(\alpha)$ be a discrete random variable on $\mathbb N$, ...
alezok's user avatar
  • 418
1 vote
1 answer
215 views

Bernoulli trials with small dependencies: asymptotics (central limit theorem, law of the iterated logarithm)

Let $\{X_k\}$ be a sequence of random variables, with $X_k\in\{+1, -1\}$ for $k>0$, generated as follows. First, define $S_n=X_1+\dots +X_n$, with $X_0=S_0=0$, and let $0<\beta<\frac{1}{2}$. ...
Vincent Granville's user avatar
1 vote
0 answers
44 views

Small parameter expansion of probability density

I am trying to describe the motion of a particle that moves according to the Langevin equations \begin{align} \dot{x}&(t)=v_0\cos{\beta(t)},\tag{1}\\ \dot{y}&(t)=v_0\cos{\beta(t)},\tag{2} \end{...
Balam's user avatar
  • 11
0 votes
1 answer
480 views

Brownian motion of every point in the plane

Suppose every point in the plane undergoes brownian motion for a time t. What is the probability n particles ended up at 0? For n finite, countable or uncountable? What proportion of the plane does ...
JGH's user avatar
  • 19
0 votes
1 answer
599 views

Random walk with exponential decay

A problem which arises in learning algorithms is $$x_{k+1}= \alpha x_k + \beta e_k$$ where $x_k$ is the scalar state variable at time $k$ and $e_k$ is an independent $\mathrm{Normal}(0,1)$ excitation ...
blacklist's user avatar