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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
-2 votes
1 answer
181 views

Stationary distribution of a weighted directed acyclic graph

Is there any way to calculate the equilibrium (stationary) distribution for a weighted directed acyclic graph? Some references emphasized adjacency matrix to be symmetric. https://arxiv.org/abs/1012....
Mehdi Nmz's user avatar
6 votes
1 answer
361 views

Random walks on infinite directed regular graphs

Let us consider a directed graph $\Gamma=(V,E,s,t)$ ($V$ set of vertices, $E$ set of edges, $s,t: E \rightarrow V$ are the "source" and "target" maps). Assume that $\Gamma$ is bi-regular, that is ...
Joël's user avatar
  • 26k
2 votes
0 answers
321 views

Why do we assume that $\mathcal{A}$ is an algebra in this 2003 paper of Bobkov and Tetali?

In Bobkov and Tetali - Modified Log-Sobolev Inequalities, Mixing and Hypercontractivity (extended version Modified Logarithmic Sobolev Inequalities in Discrete Settings), at the beginning of section 3,...
Ella Sharakanski's user avatar
3 votes
2 answers
1k views

Non-backtracking random walk in regular (finite) graphs

I know that many things are known when dealing with random walks on a finite (or even infinite) graph: mixing time, returns to origin, etc. All is based in the use of the Markovian property of such a ...
Johnny Cage's user avatar
  • 1,561
2 votes
1 answer
232 views

If the diameter of a bounded degree, directed graph is polynomial in the degree of the graph, is the mixing time also polynomial?

Given a directed graph $G=(V,E)$, with no self-loops, with a vertex that has a maximal out-degree $\le d\in O(\log |V|)$, and with a diameter $\text{diam}(G)\in O(\text{poly }d)$, consider converting ...
Mark S's user avatar
  • 2,185
2 votes
0 answers
159 views

Distribution of path probabilities for a finite absorbing Markov chain

I am interested in the distribution of path probabilities for a finite absorbing (but otherwise well behaved) Markov chain. Has this topic been considered in the literature? A bit of Googling ...
Steve Huntsman'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
8 votes
1 answer
174 views

Equalizing Geometric means of Graph Cycles

Consider a strongly connected directed graph $G$. I have been stuck on the following question: can you assign real numbers in $[0,1]$ to each edge of $G$ so that the geometric mean of all cycles are ...
sai's user avatar
  • 183
1 vote
1 answer
242 views

Two types of random walkers on square lattice

Consider a two dimensional square lattice ($n$ by $n$), which is our space $S$ (each point labelled by an index $1\to n^2$), containing two types of particles, distinguished here by either an index $1$...
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
4 votes
3 answers
4k views

Stationary distribution for bipartite graph

I was wondering if there is any stationary distribution for bipartite graph? Can we apply random walks on bipartite graph? since we know the stationary distribution can be found from Markov chain, but ...
maz's user avatar
  • 51
1 vote
1 answer
295 views

Equivalent Markov Random Fields

Hi, Is it possible to have topologically different Markov Random Fields (few different edges) and yet yielding the same inference results ? Thanks!
Raskol's user avatar
  • 167
4 votes
1 answer
587 views

Combinatorial descriptions of the stationary distribution of a Markov chain

When I say "Markov chain" I think of a directed positively weighted (finite) graph, such that the sum of all edges going out of a vertex equals 1. Also I assume that it is aperiodic and irreducible. ...
Erik Aas's user avatar
  • 406