Markov chains on trees: almost lower and upper directed cases
Luis Fredes, Jean-Fran\c{c}ois Marckert

TL;DR
This paper studies Markov chains on trees with specific directional constraints, establishing the existence of invariant measures, providing explicit criteria for recurrence, and introducing an efficient algorithm for measure computation.
Contribution
It introduces the concept of almost upper and lower-directed Markov chains on trees, proves the existence of invariant measures under irreducibility, and develops a leaf addition algorithm for their computation.
Findings
Invariant measures exist for almost upper-directed chains on infinite trees.
Explicit criteria for recurrence and positive recurrence are provided.
An efficient leaf addition algorithm enables measure computation without linear algebra.
Abstract
The transition matrix of a Markov chain on a finite or infinite rooted tree is said to be almost upper-directed if, given , the node is either a descendant of or the parent of . It is said to be almost lower-directed if given , is either an ancestor of or a child of . These models include nearest neighbor Markov chains on trees. Under an irreducibility assumption, we show that every almost upper-directed transition matrix on infinite (locally finite) trees has some invariant measures. An invariant measure is expressed thanks to a determinantal formula. We give general explicit criteria for recurrence and positive recurrence. An efficient algorithm (the leaf addition algorithm) of independent interest allows to be computed on many trees, without resorting to linear algebra considerations. Flajolet, in a…
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Taxonomy
TopicsStochastic processes and statistical mechanics · Random Matrices and Applications · Markov Chains and Monte Carlo Methods
