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Is the P.M.F. of the first return time of a random walk monotone?

Suppose $X_1,X_2,\ldots$ are i.i.d. $\mathbb Z$-valued random variables such that the random walk $$S_n=\sum_{i=1}^nX_i$$ is recurrent with some period $k\geq1$ (i.e., $\Pr[S_n=0]>0$ if and only if ...
user78370's user avatar
  • 891
5 votes
0 answers
485 views

Hierarchical Random Walk (also known as Hierarchical Hidden Markov Model)

Let us consider the following hierarchical (recursive) random walk model, which is also known as the hierarchical hidden Markov model in computer science (https://en.wikipedia.org/wiki/...
Minkov's user avatar
  • 1,127
5 votes
0 answers
95 views

Most visited vertex in a random walk with place dependent drift

Consider the following Markov chain on $\mathbb{Z}$: $$ P(x,x+1)=1-P(x,x-1)=\frac{1}{2}+e^{-|x|}\cdot \mathbf{1}_{\{x\neq 0\}} $$ Do there exist constants $c,C>0$ such that $$ c\cdot P^t(z,z) \...
Snoop Catt's user avatar
3 votes
0 answers
63 views

Algebraic property of a transition matrix

Consider the simple random walk on $\mathbb{Z}^2$. Given a finite $\Sigma \subset \mathbb{Z}^2$, one can induce the random walk on $\Sigma$: set $\tau_0 = 0$, and define recursively $\tau_{n+1} := \...
D. Thomine's user avatar
3 votes
0 answers
115 views

Approximating the *conditional* probability of 1D discrete random walk not having revisited the origin given last position

I'm looking for a good closed form approximation to the following conditional probability, with provable approximation guarantees. Consider a 1D random walk on the integers, starting at the origin, ...
user113925's user avatar
3 votes
0 answers
151 views

Sequential generation of any random graph

The high-level question is: can we generate any random graph with size $d$ using a Markov chain? For example, let $X^{(0)} = (1,0,\ldots,0) \in R^d$ be the initial state, and $X^{(t+1)} = f^{(t)}(X^{...
Minkov's user avatar
  • 1,127
2 votes
0 answers
700 views

Simple random walk on a discrete torus - the eigensystem, reference

My problem concerns finding a reference in which the formulae for the eigenvalues and the corresponding eigenvectors ($n$ linearly independent eigenvectors!) for the transition matrix of a simple ...
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2 votes
0 answers
114 views

Hyperbolic decay of transition probability for random walks on infinite graphs

Consider a nearest-neighbor (or say simple) random walk on a connected graph $G$ with infinite vertices where each vertex has a finite degree. Let $P^n_{o,o}$ be the probability of the random walk ...
Uchiha's user avatar
  • 87
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
0 answers
73 views

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
1 vote
0 answers
89 views

Understanding the statements of Theorem 5.5 and Lemmas 5.6, 5.7 and 5.8 from a French paper by Yves Guivarc’h and Émile Le Page

I would like to understand the statement and the proof Theorem 5.5 just for the special case when $X$ is a single point from the paper “Simplicité de spectres de Lyapounov et propriété d’isolation ...
tattwamasi amrutam's user avatar
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
1 vote
0 answers
79 views

Discrete Markov process on finite interval

Consider an contiguous array of $N$ states, numbered from $1$ to $N$. At every time step $t$, the process should transition to an adjacent state. The probability of moving to the right (from state $n\...
xntric_ngneer's user avatar
1 vote
0 answers
46 views

Is there an effective algorithm for finding "minimal discovery times" for large graphs?

Consider a large, probably sparse graph with Markovian random walkers on it. Define the discovery time as the expected time to first reach a vertex by random walk from a uniform start. Are there ...
Moonwalker's user avatar
0 votes
0 answers
85 views

Does a 2d random walk hit 0 for increasing distances AND time spans?

Question: For a simple symmetric random walk $(Z_t)_{t\geq 0}$ in $\mathbb{Z}^2$, does $$\lim_{\beta\rightarrow 0}\mathbb{P}^{x_\beta}(Z_t=0\text{ for some }t\leq h(\beta)T)=0\quad (2.8)$$ where $|x_\...
PontyMython's user avatar
0 votes
0 answers
111 views

Markov chains on a polyhedron

A modification of a question from Gerard Letac (1976): A m-sided q-adjacent-faced polyhedron has one of its faces "up." Each round, the polyhedron rolls so that any of the adjacent faces is now up. ...
Brad Kells's user avatar