Questions tagged [random-walks]

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Strong law of large numbers for a sequence of random variables in different probability spaces

Is it known whether the following version of the strong law of large numbers holds? For each $k\in\mathbb{N}$, let $\Omega_k$ be a finite set and $\mu_k$ be a probability measure on $\Omega_k$. Let $(...
Aleksi's user avatar
  • 1
3 votes
2 answers
154 views

Random walk to visible lattice points

Consider a random walk from the $\mathbb{Z}^2$ origin $(0,0)$ to visible (not blocked) lattice points $p$, with a parameter $r$ a given radius of a circle centered on $p$. With $p$ the previous point, ...
Joseph O'Rourke's user avatar
2 votes
2 answers
75 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
  • 155
7 votes
0 answers
125 views

Random walk on matrix until singularity

Consider a random walk on matrices, where one starts with the matrix $M=I_n$ and at each step randomly chooses an entry of $M$ to increase by $1$. I’m interested in two things about this walk: What’s ...
TheBestMagician's user avatar
0 votes
1 answer
114 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
  • 6,446
6 votes
1 answer
183 views

Diameter bound for graphs: spectral and random walk versions

This question can be phrased in different settings. I will discuss a spectral formulation and the equivalent random walk version. The question came up naturally in recent work with Devriendt and ...
Stefan Steinerberger's user avatar
4 votes
1 answer
239 views

Does a subset with small cardinality represent the whole set?

Assume that we have heavy-tailed distribution $F(x)$ such that \begin{align} F(x)=\mathbb{P}[X\geq x]=x^{-0.5}. \end{align} Then, we produce $N$ independent samples $X_1,X_2,\ldots,X_N$ from this ...
Math_Y's user avatar
  • 201
2 votes
1 answer
136 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
  • 161
2 votes
1 answer
92 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
1 vote
0 answers
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Reference for the asymptotic mixing time of the random walk on the cycle

In Diaconis's book Group Representations in Probability and Statistics, Chapter 3C, there are explicit computations for the mixing time of the random walk on the cycle graph $\mathbb{Z}_{p}$, with $p$ ...
Austin80's user avatar
  • 111
4 votes
1 answer
121 views

counting fixed-area closed walks on square 2d lattice

I want to count the number $N(n,A)$ of closed walks of length $2n$ on the square $2d$ lattice enclosing a signed area of $A$. These numbers refine $\sum_A N(n,A) = \left(\begin{array}{c}2n\\n\end{...
Eric Zaslow's user avatar
2 votes
0 answers
66 views

Random walks on randomly evolving graphs

I am interested in analyzing a random walk on a growing tree with vertices labelled on a tree with following properties. The number of nodes at depth $k$ is a an exponential function of $k$. One can ...
user82261's user avatar
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0 answers
73 views

Convergence bounds for ergodic random walk

We are given a simple connected graph $G(V,E)$, where $V$ and $E$ denote the vertex and edge sets respectively. Let $G'(V,E')$ be the graph generated by $G$ by adding one self-loop edge for each ...
Penelope Benenati's user avatar
1 vote
1 answer
86 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
0 votes
1 answer
70 views

Reference request: $\mathbb{E}|X_t| \to \infty$ as $t \to \infty$ when $\{X_t\}_{t\geq 0}$ is a continuous-time (symmetric) random walk

Let $\{X_t\}_{t\geq 0}$ be a one dimensional continuous-time (symmetric) random walk on $\mathbb Z$ defined via $$X_t = X_0 + \sum_{i=1}^{N_t} Y_i,$$ where $X_0 \in \mathbb{Z}_+$ is a non-negative ...
Fei Cao's user avatar
  • 646
5 votes
1 answer
273 views

Probabilistic problem on random spanning trees

Let $G(V,E)$ be a connected simple graph, where $V$ and $E$ denote respectively its vertex and the edge set respectively. Let $f: V\to \{-1,1\}$ a function mapping each vertex to a value in $\{-1,1\}$....
Penelope Benenati's user avatar
3 votes
2 answers
309 views

Random spanning trees probability problem

We are given a simple connected graph $G(V,E)$ with vertex and edge set $V$ and $E$ respectively. For any vertex $v\in V$, let $D_T(v)$ the degree of $v$ in a uniformly generated random spanning tree $...
Penelope Benenati's user avatar
4 votes
1 answer
181 views

Derive the solution of the diffusion equation from the solution of a random walk

Summary The probability distribution (pdf) of a random walk in 1 dimension is represented by a Bessel function. On the other hand, the pdf of a Brownian motion in free space is represented by a ...
Sam's user avatar
  • 179
0 votes
0 answers
27 views

Upper bound of probability for random walk ending in an interval while hitting a wall in the past

The title of this problem may sound weired. Formally what I want to bound from above is the following. Let $X_k$ be independent random walk increments with finite variances and their means are bounded ...
MikeG's user avatar
  • 607
0 votes
0 answers
163 views

The meaning of random number generator test failing

I have a random number generator (number theoretic) that passes all of the NIST tests except the random excursions test. Is there any deep dark meaning to this? To amplify "deep dark meaning"...
Igor Rivin's user avatar
1 vote
2 answers
134 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
77 views

A question about the square root error of one dimensional random walks

Consider a one dimensional random walk, in which the probability of moving left along a line is $q=1/2$ and the probability of moving right is $p=1/2$. The square root error $\langle d_N \rangle$, ...
EGME's user avatar
  • 1,008
7 votes
1 answer
207 views

Counting returns in null-recurrent random walk

Consider two independent copies of IID random walk on ${\bf Z}$ starting from $0$, and let $N_1(t)$ (resp. $N_2(t)$) denote the number of times, up to time $t$, that the first (resp. second) walker ...
James Propp's user avatar
4 votes
1 answer
235 views

Random walk visiting a cylinder infinitely often

I wonder whether a $d$-dimensional random walk $S_n$, generated by the infinite i.i.d. copies of X given by: $X=e_1=(1, 0, 0, ..., 0)$ (with probability $p_1$) $X=e_2=(0, 1, 0, ..., 0)$ (with ...
Hamid Enki's user avatar
3 votes
1 answer
314 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
  • 1,117
2 votes
2 answers
212 views

Is there something like a "self-avoiding Markov chain" on a continuous space?

If stumbled accross self-avoiding walks. They seem to be deterministically generated, but from a quick google search term seem to be randomly generated variants. However, as far as I can see they are ...
0xbadf00d's user avatar
5 votes
1 answer
103 views

Asymptotic expansion for the number of self-avoiding random walks

This question is cross-posted from https://math.stackexchange.com/questions/4580314/asymptotic-expansion-for-the-number-of-self-avoiding-random-walks. Let $c_n$ be the number of self-avoiding random ...
Testcase's user avatar
  • 531
6 votes
1 answer
195 views

Origin of the term "connective constant"

Let $G$ be a vertex-transitive locally finite graph and $c_n$ the number of self-avoiding walks in $G$ starting from some fixed vertex $v_0$. One can easily see that $c_{m+n} \leq c_m c_n$ and hence ...
Salini Mendisi's user avatar
2 votes
0 answers
105 views

General ballot theorem: sum of independent but not identically distributed random variables?

Is there ANY ballot-type result for random walk $S_n:=\sum_{i\le n}X_i$ that allows for independent but not identically distributed random variables $X_i$, up to some uniform concentration conditions ...
MikeG's user avatar
  • 607
3 votes
2 answers
219 views

Elementary cellular automata in stochastic modes

There are several ways to run a given elementary cellular automaton in a stochastic way: by giving for each of the eight local configurations 000,100,010 and so on a probability by which the rule is ...
Hans-Peter Stricker's user avatar
4 votes
1 answer
269 views

Minimum of random walks

Let $M$ independent and identical random walks that follow the chi-squared distribution, i.e. in each step, a $X^2_1$ random variable is added. I am interested in the minimum random walk at each step. ...
Ioannis Papoutsidakis's user avatar
5 votes
0 answers
69 views

Logarithmic speed walks on trees

Let $T$ be the infinite $3$-regular tree, equipped with the shortest path metric $d_T$. An infinite walk on $T$ is a map $f:\mathbb{N}\to T$ such that $d_T(f(a),f(a+1))\leq 1$ for all $a$. An infinite ...
DavidHume's user avatar
  • 701
3 votes
0 answers
123 views

Conditional distribution of steps of random walk given the sum

Set-up. Consider a random walk $S_n=\sum_{i=1}^n X_i$, where $\{ X_i, 1\leq i < \infty \} $ is a sequence of i.i.d. random variables with distribution $\mu$, $\mathbb{E}X_1 = 0$. Let $a > 0$. ...
Viktor B's user avatar
  • 694
0 votes
1 answer
52 views

Skip-free random walks: recurrence and transience

Let us define a one dimensional random walk: for all $n\in\mathbb{N}$ $$ X_n:=\sum_{i=1}^nZ_i $$ with $Z_i$ i.i.d. random variables taking values in $\{-1,0,1,2,\dots\}$. This process is sometimes ...
lulli_'s user avatar
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1 vote
1 answer
298 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
6 votes
3 answers
333 views

Parameterized simple asymmetric random walk

Let $ t>0 $, and we look at the random walk $S_{n}=\sum_{i=1}^{n}X_{n}$ on $\mathbb{Z}$ with $S_0=0$ where $$ \mathbb{P}\left(X_{n}=1\right) =\frac{1}{2}\left(1+\frac{1}{n^{t}}\right) $$ $$ \...
Jeremiah's user avatar
2 votes
1 answer
163 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
7 votes
1 answer
252 views

Local probabilities for lattice random walk

Let $\epsilon <1/2$. Let $X$ be a random variable in $\mathbb Z$ such that $\mathbb P (X=x)\le \epsilon $ for any $x\in \mathbb Z$ (you may add any moment or regularity conditions on $X$ if needed)....
Dor's user avatar
  • 723
1 vote
0 answers
103 views

Distribution of a random summand conditional on the sum of independent identically distributed copies

The question is simple to state: Let $S_n = \sum_{i=1}^n X_i$, where $X_i$ are independent random variables with a common distribution $F$. For simplicity, assume that $X_i \geq 0$ with prob. 1, and ...
bm76's user avatar
  • 103
0 votes
1 answer
194 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
  • 694
6 votes
1 answer
361 views

Average and max. hitting time to a specific vertex

Consider simple random walks that stop when reaching a given node $x$ in an undirected, unweighted and connected graph on $n$ nodes. Let $H(i,x)$ denote the (expected) hitting time from $i$ to $x$, ...
fawadria's user avatar
0 votes
1 answer
399 views

Simple random walk return time

Let's take a simple random walk on $\mathbb{Z}$, $(S_n)_{n\geq0}$, started at zero. If $\tau^+_0 = \inf\{n \geq 1: S_n = 0\}$ is the first time the walk returns on zero, we know that $\mathbb{E}[\tau^+...
Rafaël's user avatar
3 votes
1 answer
166 views

Simple random walk with an extra condition

Consider a simple random walk $$\mathcal{X}_t= \sum_{n<t} X_n,$$ where $P(X_n=1)= P(X_n=-1)= 1/2.$ If I put an extra condition that excludes cases with more than 5 consecutive +1, or -1 in the sum: ...
Sia-TeX's user avatar
  • 85
2 votes
1 answer
450 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
3 votes
1 answer
143 views

Carne-Varopoulos bound and stationary measure

Let $\Gamma$ denote the Cayley graph for a finitely generated group $G$, and let $p_n(x, y)$ denote the transition probability that a random walk starting at $x$ reaches $y$ at time $n$. A famous &...
user482846's user avatar
2 votes
0 answers
58 views

Handling sums of correlated random variables with a directed path structure

Recently, I've been seeing random variables with the following correlation structure based on directed paths on a graph. For example, there are $16$ directed paths "directed downwards from the ...
user196574's user avatar
5 votes
1 answer
176 views

Second Skorokhod embedding in high dimensions

The first Skorokhod embedding theorem says that any random variable $X$ with $\mathbb E X=0$ and $\mathbb E X^2<\infty $ can be written as $X=B_{\tau }$ where $B$ is a Brownian motion and $\tau$ is ...
Dor's user avatar
  • 723
8 votes
2 answers
256 views

Does entropy of the random walk control the return probability

Given an infinite connected graph $G$ of bounded degree with vertex set $X$, let $P_x^n$ the time $n$ distribution of the simple random walk started at the vertex $x$ (so $P^n_x(y)$ is the probability ...
ARG's user avatar
  • 4,334
2 votes
2 answers
136 views

Which infinite random graphs with percolation threshold $p_c=0$ are transient?

I am interested in long-range percolation models with heavy-tailed degree distributions such as DHH13, GLM21, Y6. The simplest example is scale-free percolation in which vertices are elements $\mathbb{...
Christian Mönch's user avatar
0 votes
1 answer
92 views

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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