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3 votes
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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
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
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
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
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