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3 votes
1 answer
236 views

Mixing time and spectral gap for a special stochastic matrix

Consider the following dimension stochastic matrix, \begin{bmatrix} p & q & 0 & 0 & 0 \\ 0 & 0 & 1 & 0 & 0 \\ 0 & 0 & 0 & 1 & 0 \\ 0 & 0 & 0 &...
Hao Yuan's user avatar
  • 103
3 votes
0 answers
182 views

Spectral radius of infinite substochastic upper triangular matrix

Let $M$ be a Markov chain on $\{0, 1, 2, \dots\} \cup \{\delta\}$, where $\Pr(i \to j) > 0$ for $i, j \in \mathbb{N}$ only if $j > i$, and $\Pr(\delta \to \delta) = 1$. This represents a birth-...
Kevin's user avatar
  • 131
1 vote
1 answer
218 views

Row-stochasticity of the Jacobian matrix of a stationary distribution

Let $P_{\mathbf{p}}$ be a $n \times n$ row-stochastic matrix whose entries are a function of a probability vector $\mathbf{p} \in \mathbf{R}_{> 0}^n$, $\sum_i p_i = 1$ and define the following ...
lum's user avatar
  • 113
10 votes
1 answer
1k views

Bounds on $\|P^{k+1} - P^k\|$ for $n$ by $n$ stochastic matrix $P$ with trace $n-1$ and integer $k\gg n$

The problem: We have a $n$-state Markov chain with arbitrary initial distribution and transition matrix $P$ that is arbitrary except that we know that $P$ has trace $n-1$. Of course $P$ is also a ...
Warren Schudy's user avatar
1 vote
2 answers
661 views

Markov chain convergence problem.

Consider a markov chain matrix P of size n x n (n states). P is known to be: 1- there are at least two absorbent states. one of them is denoted by null. (thus, we have that P_null,null = 1) 2- For ...
Gerardo's user avatar
  • 27
-2 votes
3 answers
2k views

Convergence of a markov matrix

Consider a markov chain matrix P of size n x n (n states). P is known to be: 1- Not irreducible (i.e. there exist at least a pair of states i, j such that we cannot go from i to j) 2- Not all ...
Gerardo's user avatar
  • 27