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Hitting time probability in a Random Walk with possibility to die.

A Random Walker can move of one unit to the right with probability $p$, to the left with probability $q$ and it can jump again to the starting point with probability $r$ and die. Naturally $p+q+r=1$. ...
QuantumLogarithm's user avatar
3 votes
1 answer
164 views

Simple linear asymptotics for leaving time of particle in open-boundary TASEP

EDIT: It appears the hypothesis may not be true - I am not sure. I therefore changed my question. ORIGINAL QUESTION: Consider a system $n$ linked discrete cells numbered $1 \ldots n$. Particles are ...
aellab's user avatar
  • 133
3 votes
1 answer
340 views

Importance resampling with exponential weighting

Suppose that we have $$ \frac{p(x)}{q(x)} \propto \exp(\tau f(x)), $$ where we can sample from $q$ but not from $p$. Our goal is to generate a set of particles $\{x_i\}_{i=1}^n$ such that $n^{-1}\sum_{...
Minkov's user avatar
  • 1,127
3 votes
1 answer
884 views

Quadratic variation of sum of random variables

Let $N = (N_t)_{t\geq 0}$ be a Poisson process and consider random variables $Z_n$, $n\in N$. Compute the quadratic variations $[X]_t$ where $X_t = \sum_{n=1}^{N_t}Z_n$. What I did was plugging $X_t$ ...
Maria's user avatar
  • 135
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
3 votes
1 answer
2k views

first passage time, brownian motion

Hi, If X(t) is Brownian motion in 2D, where X(0) = 0, then we can ask what is the expected time required to first hit a circle of radius R, centered at the origin. This is a First Passage Time ...
chris in physics's user avatar
3 votes
0 answers
81 views

Random walk in a switching scenery

For each $x \in \mathbf{Z}$ let $(\eta_t(x))_{t\geq0}$ denote independent copies of a process $(\eta_t(0))_{t\geq0}$ defined as follows. The process $\eta_t(0)$ takes values in $\{-1,1\}$, where $-1$ ...
as1's user avatar
  • 91
3 votes
0 answers
330 views

Random walk on $\mathbb{R}$ with "sticky" origin

Let $P_i$, $N_i$, and $Z_i$, $i\in\mathbb{N}$ be r.v.'s with the $P_i$, $N_i$, and $Z_i$ being identically distributed with known pdf's $f_P$, $f_N$, and $f_Z$, respectively; and with no dependence ...
Nick Broderick's user avatar
2 votes
3 answers
300 views

How long does it take a Brownian particle to achieve a uniform probability distribution across a space?

Imagine I have a point-like Brownian particle, with diffusion constant $D$, and I place it at some initial coordinate in a cage of known geometry. Assuming the volume $V$ of the cage is "everywhere" ...
Rob Grey's user avatar
  • 599
2 votes
1 answer
280 views

Walker whose Velocity is a Brownian Bridge

Consider a continuous random walk $x (t) $, in which the velocity $v (t) = \mathrm dx/\mathrm dt $ rather than the position is described by Brownian motion, so that $v (t) = B_t $ where $B_{t+\epsilon}...
Niel de Beaudrap's user avatar
2 votes
1 answer
6k views

asymmetric random walk, hitting time probability

Let's consider an asymmetric Random Walk on $Z$, with transition probabilities $p_{i, i+1}=p$, $~~p_{i, i+1}=q$, $\forall i \in \mathcal{Z}$, $p+q=1$ and $p>q$. I am interested in the probability ...
QuantumLogarithm's user avatar
2 votes
1 answer
847 views

Probability that a symmetric random walk returns to $0$ exactly $k$ times in $2n$ steps

I'm trying to find a formula to find the probability of exactly k returns in 2n steps of a symmetric random walk. More specifically, I am trying to show that the probability of 2 returns is exactly ...
Tarmmsh's user avatar
  • 21
2 votes
1 answer
192 views

Occupation time of non-stationary random walk

Assume $\varepsilon \in [0,1/2]$. Consider the discrete-time random walk $X_0 = 0$, $X_{t+1} - X_t \sim f(X_t) \delta_0 + (1-f(X_t))\operatorname{Rademacher}$, where $\delta_0$ is the Dirac delta on ...
Andreas Haupt's user avatar
2 votes
1 answer
460 views

Large deviation of random walk

1) Let $\{X_i\}_{i=1}^n$ be i.i.d. such that $\Pr(X_i=1 )=1-\Pr(X_i=-1)=p$. Define the random walk $$ S_i = \sum_{j=1}^iX_j $$ for $i=1,2,\ldots,n$. I am looking for "good" exponential upper bounds ...
Mike_D's user avatar
  • 31
2 votes
1 answer
105 views

Convergence of a stochastic sequence?

I am reading this paper related to an algorithm for nonsmooth optimization problems. After many simplifications, I was able to formalize the method as follows: let $\Bbb B $ denote the unit ball in $\...
John D's user avatar
  • 185
2 votes
1 answer
528 views

Any modern/recent version of Ito & McKean?

This's a wonderful book[1] but the latest edition I have is dated 1973. Is there recent book(s)/rewrite(s) that covers the same subjects and elucidate with more explicit arguments and details of their ...
horaceT's user avatar
  • 163
2 votes
1 answer
412 views

Does random walk have more concentration surrounding the origin?

Consider a simple random walk $S_n$ on one dimension, starting at $0$. In this case, $S_n$ fluctuates between $-\infty$ and $\infty$, but intuition says that it might stay more often in an interval ...
maomao's user avatar
  • 502
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
2 votes
2 answers
167 views

Example of random walk in a random environment (RWRE) saying things on the environment

I was wondering if anyone is aware of works/articles/examples where random walks in a random environment (RWRE) are actually used for obtaining information on the random environment. To clarify a bit, ...
Cal's user avatar
  • 59
2 votes
1 answer
184 views

A question about convergence of stochastic processes converging to a random walk

Consider the following random walk $(y_t)_{t \in \mathbb Z_+}$: $$y_t = y_{t-1} + u_t,\quad (u_t)_{t \in \mathbb Z_+} \overset{iid}{\sim} N(0,1), \quad (t \in \mathbb Z_+)$$ where $y_0, u_1, u_2,...$ ...
PSE's user avatar
  • 13
2 votes
1 answer
115 views

Randomly chosen walk of fixed length

Let $G=(V, E)$ be the graph on vertices $V = \{0, \cdots, k\}^n$, where vertices $(v_1, \cdots, v_n)$ and $(w_1, \cdots, w_n)$ share an edge iff $\lvert v_i - w_i\rvert \leq 1$ for all $i$. A walk of ...
S. M. Roch's user avatar
2 votes
1 answer
168 views

Random Walk 2D with dependent weights [closed]

I have spent a lot of time trying to solve this problem but have had no luck so far! Any help would be highly appreciated! Suppose I have a 3x3 grid as shown below. (3,1) (3,2) (3,3) (2,1) (2,2) (...
ayesha's user avatar
  • 23
2 votes
1 answer
421 views

Extending Wald's equation to two classes of i.d. random variables?

I try to adopt Wald's equation to a slightly more complex problem. In fact, after a full day, I found some solution now, but it has a confusing argument in the middle. Perhaps somebody can help me at ...
cubic lettuce's user avatar
2 votes
1 answer
447 views

MCMC with progressive demollification of delta distributions

Edit: I simplified the example to a canonical case for clarity. Given an integral $\int_{\Omega}{g(\mathbf{x})}$ with a well-posed integrand $g(\mathbf{x})$ defined on some multidimensional space $\...
2 votes
0 answers
80 views

Bound from above and from below the probability that a 1-D centered random walk remains at each step inside a square root boundary

Let $W_n = \sum_{i = 1}^{n}X_i$ be a random walk on $\mathbb{R}$, where the increments $X_i$ are i.i.d., symmetric around the origin ($X\sim -X$), such that $-1\leq |X(\omega)| \leq 1$ $\forall\omega\...
MathRevenge's user avatar
2 votes
0 answers
114 views

Asymptotic Independence of random walks from increments?

Suppose we have two random walks $(S_n:n\geq 1)$ and $(T_n:n\geq 1)$ building from independent identically distributed increment vectors $\{(X_k,Y_k):k\geq 1\}$, i.e. $S_n=\sum_{k=1}^n X_k, T_n=\sum_{...
MikeG's user avatar
  • 715
2 votes
0 answers
193 views

If the operators $B_i'$ satisfy an inequality, prove that $B_1'+\dotsb+ B_n'$ also satisfies the same inequality

Related: On a deceptively tricky calculus problem. The way that Leonard Gross proves the log Sobolev inequality is in the following stages: He proves that for any operator $B$ that satisfies the log ...
matilda's user avatar
  • 90
2 votes
0 answers
78 views

A question on the convex hull of independent random walks

Consider $m$ independent random walks $X^1_n, \dots, X^m_n$ driven by a probability measure $\mu$ in $ \mathbb{Z}^d$. Assume that the $\mu$ has no drift, that is, the expected value of a $\mu$-...
Keivan Karai's user avatar
  • 6,224
2 votes
0 answers
63 views

hitting probabilities of oriented random walk

Consider a random walk on $\mathbb{Z}^2$, starting at $(0,0)$. Each step it moves rightwards with probability $p$ and upwards with probability $q=1-p$. The random walk terminates when it hits the ...
user58955's user avatar
  • 640
1 vote
1 answer
4k views

First passage time of a 1D simple random walk in a discrete time infinite markov chain [closed]

If we consider a simple Random Walk on the positive integers (discrete Markov chain), with symmetric transition probabilities. We start at time $0$ at the integer $i_0 = m$ and at each time step $P(...
Jean Claude's user avatar
1 vote
1 answer
385 views

How fast does this Gaussian random walk move away from the origin?

Suppose $z_i$ are IID zero-centered $d$-dimensional Gaussian random variables with unit-trace covariance $\Sigma$ and $g(z_i)$ is the sum of its components. Consider the following random walk: $$x_s=\...
Yaroslav Bulatov's user avatar
1 vote
2 answers
169 views

Asymptotic properties of weighted random walks / infinite convolutions of random variables

Let $(X_n)_{n\in\mathbb{N}}$ be a sequence of i.i.d. real-random variables. Let further $0<c<1$. I'm interested in the asymptotic properties of $$ \sum_{k=1}^n c^k X_k. $$ I can prove that this ...
SetofMeasureZero's user avatar
1 vote
1 answer
425 views

Invariance principle: Brownian bridge and random walk conditioned on end point

Let $\{X_i, i \in \mathbb{N}\}$ be a sequence of non-lattice i.i.d. centered random variables, $\mathbb{E} |X_1| ^3 < 0$. Let $S_n = \sum\limits _{i=1} ^n X_i$ be the corresponding random walk and ...
Viktor B's user avatar
  • 724
1 vote
2 answers
356 views

Asymptotic behavior of a random geometric sum

Let $S_n$ denote a simple random walk with i.i.d. increments $X_i$ such that $P(X_1 = 0) = P(X_1=1) = 1/2$, i.e. $$S_0 = 0, \ S_n = X_1 + \dots + X_n.$$ The behavior of $S_n$ as $n \to \infty$ is ...
MMM's user avatar
  • 121
1 vote
1 answer
247 views

Arc Sine law for Random Walk conditioned to non-absorption or not?

Let $S_n$ be simple symmetric Random walk on the integers in $[-N,N]$ with states $N$ and $-N$ absorbing. Let $\tau$ be the time to absorption when $S_0 = 0$. Is the $E(S^{2}_{n}| \tau \geq n)$ known?...
John Lotos's user avatar
1 vote
2 answers
772 views

Gibbs sampling step size

I have some data generated using MCMC methods and in particular Gibbs sampling. I computed the autocorrelation but I'm unsure how to determine how many samples to skip. I'd like to determine that ...
s5s's user avatar
  • 87
1 vote
1 answer
120 views

multi-time limit of a maximum of random walks

Suppose one has $N$ iid random walks $X^{(1)}_t,\ldots,X^{(N)}_t$ in discrete or continuous time $t$, let us say for example Poisson jump processes, and consider the stochastic process $Y^{(N)}_t = \...
Roger Van Peski's user avatar
1 vote
1 answer
90 views

A scaled random walk on the number line

An agent $A$ is performing a random walk on the number line. Let $X_t$ be his position at time $t$. $X_{t+1}$ is calculated according to the following rules:- $ X_{t+1} =$ \begin{cases} ...
Shivin Srivastava's user avatar
1 vote
2 answers
302 views

how to derive stationary distribution of maximal entropy random walk

I was reading the paper 0810.4113v2, burda, which analyzed the stationary distribution maximal entropy random walk on the irregular lattice. I am confused on some of the steps. Description: The ...
Nick Dong's user avatar
  • 211
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
2 answers
88 views

Lower-bound on zero-crossing probability of the nonstationary gaussian process $X(t) = tU+(1-t^2)^{1/2}V$, with $(U,V) \sim N(0,I_2)$

Let $(X(t))_{t \in [-1,1]}$ be a centered non-stationary smooth gaussian process with covariation function $\rho(t,s) = \mathbb E[X(t)X(s)]$. For $t_0 \in (-1,1)$ and $\epsilon \in (-1-t_0,1-t_0)$, ...
dohmatob's user avatar
  • 6,853
1 vote
1 answer
233 views

Random walks on Galton–Watson trees

I am working on a paper of Elie Aidekon : ‘Speed of the biased random walk on a Galton–Watson tree’ and have a question about one transformation in a proof: \begin{align} & 1+\frac{1}{1-\lambda}+\...
toni_iva's user avatar
1 vote
1 answer
276 views

Number of deaths in birth-death process conditioned on start and end points

Say I have a simple linear continuous time birth-death process with state space the non-negative integers, where there are parameters $b$ and $d$, with the rate (as you'd see in a $Q$ matrix) of going ...
Andiamo Va's user avatar
1 vote
0 answers
41 views

Asymptotic mixing time and Euclidean probability distance for path graphs

We are given a simple path graph $P(V,E)$ with vertex set $V$ and edge set $E$, having $n=|V|$ nodes. Given an initial distribution $\mathbf{\mu}$ over $V$, let $d_t(\mathbf{\mu},\pi)$ be defined as $\...
Penelope Benenati's user avatar
1 vote
1 answer
284 views

Rate of convergence to uniform distribution

Let $p=(p(1),\ldots,p(N))$ be a discrete distribution on $[N]:=\{1,2,\ldots,N\}$ with full support (i.e all the $p(i)$'s are strictly positive and sum to $1$). Let $i_1,i_2,\ldots,i_T$ be an iid ...
dohmatob's user avatar
  • 6,853
1 vote
1 answer
109 views

Phase space Brownian bridge

I understand the concept of the 1 dimensional Brownian bridge with the form of: $$dx_t=\frac{-1}{1-t}x_t \, dt + dw_t$$ s.t. $x_0=0$ and $x_1=0$ where $dw_t$ is a Wiener process. I am thinking about ...
BayesFans's user avatar
1 vote
0 answers
91 views

A random process with conserved momentum: 'particle decay'?

Consider a particle $p_1$ moving at unit speed along a straight line in $\mathbf{R}^2$, directed by some vector $v_1 \in \mathbf{S}^1$. Equid this particle with a Poisson clock $\tau_1$, with ...
Leo Moos's user avatar
  • 5,038
1 vote
0 answers
181 views

Random walk on 2d lattice with obstacles

Consider a random work on $L=\mathbb Z^2$ endowed with obstacles (i.e each cell $(x,y)$ of $L$ may contain a obstacle, i.e the random walk halts whenever it hits such a cell). Let $P(x,y) = 1$ if cell ...
dohmatob's user avatar
  • 6,853