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The transition matrix of a Markov chain $(X_k,k\geq 0)$ on a finite or infinite rooted tree is said to be almost upper-directed if, given $X_k$, the node $X_{k+1}$ is either a descendant of $X_k$ or the parent of $X_k$. It is said to be…

Probability · Mathematics 2024-11-12 Luis Fredes , Jean-François Marckert

We develop a general theory of Markov chains realizable as random walks on $\mathscr R$-trivial monoids. It provides explicit and simple formulas for the eigenvalues of the transition matrix, for multiplicities of the eigenvalues via…

Combinatorics · Mathematics 2015-03-30 Arvind Ayyer , Anne Schilling , Benjamin Steinberg , Nicolas M. Thiery

We prove that the principal minors of the distance matrix of a tree satisfy a combinatorial expression involving counts of rooted spanning forests of the underlying tree. This generalizes a result of Graham and Pollak, and refines a result…

Combinatorics · Mathematics 2025-12-11 Harry Richman , Farbod Shokrieh , Chenxi Wu

Jones and Boston conjectured that the factorization process for iterates of irreducible quadratic polynomials over finite fields is approximated by a Markov model. In this paper, we find unexpected and intricate behavior for some quadratic…

Number Theory · Mathematics 2013-12-30 Vefa Goksel , Shixiang Xia , Nigel Boston

We give an example of a transient reversible Markov chain that almost surely has only a finite number of cutpoints. We explain how this is relevant to a conjecture of Diaconis and Freedman and a question of Kaimanovich. We also answer…

Probability · Mathematics 2008-05-19 Nicholas James , Russell Lyons , Yuval Peres

A Markov chain is considered whose states are orderings of an underlying fixed tree and whose transitions are local "random-to-front" reorderings, driven by a probability distribution on subsets of the leaves. The eigenvalues of the…

Probability · Mathematics 2009-01-28 Anders Björner

This paper investigates stochastic finite matrices and the corresponding finite Markov chains constructed using recurrence matrices for general families of orthogonal polynomials and multiple orthogonal polynomials. The paper explores the…

Probability · Mathematics 2024-07-11 Amílcar Branquinho , Juan EF Díaz , Ana Foulquié-Moreno , Manuel Mañas

Starting from a Markov chain with a finite alphabet, we consider the chain obtained when all but one symbol are undistinguishable for the practitioner. We study necessary and sufficient conditions for this chain to have continuous…

Probability · Mathematics 2014-09-23 Walter A. F. de Carvalho , Sandro Gallo , Nancy L. Garcia

We consider Markov chains on partially ordered sets that generalize the success-runs and remaining life chains in reliability theory. We find conditions for recurrence and transience and give simple expressions for the invariant…

Probability · Mathematics 2010-04-08 Kyle Siegrist

A general theorem on factorization of matrices with polynomial entries is proven and it is used to reduce polynomial Darboux matrices to linear ones. Some new examples of linear Darboux matrices are discussed.

Exactly Solvable and Integrable Systems · Physics 2009-11-11 F. Musso , A. Shabat

The Markov Chain Tree Theorem is extended to the max algebra and possible applications to ranking problems are discussed.

Rings and Algebras · Mathematics 2019-03-26 Buket Benek Gursoy , Steve Kirkland , Oliver Mason , Sergei Sergeev

The upper extremes of a Markov chain with regulary varying stationary marginal distribution are known to exhibit under general conditions a multiplicative random walk structure called the tail chain. More generally, if the Markov chain is…

Probability · Mathematics 2007-06-13 Johan Segers

In this article almost semi-continuous processes with stationary independent increments on a finite irreducible Markov chain are considered. For these processes the components of matrix factorization identity are concretely defined. On the…

Probability · Mathematics 2009-09-01 D. V. Gusak , E. V. Karnaukh

Given a strongly stationary Markov chain and a finite set of stopping rules, we prove the existence of a polynomial algorithm which projects the Markov chain onto a minimal Markov chain without redundant information. Markov complexity is…

Probability · Mathematics 2007-05-23 Giacomo Aletti

Markov chains are a class of probabilistic models that have achieved widespread application in the quantitative sciences. This is in part due to their versatility, but is compounded by the ease with which they can be probed analytically.…

Machine Learning · Computer Science 2023-12-18 Eddie Seabrook , Laurenz Wiskott

The analysis of many problems of interest associated with Markov chains, e.g. stationary distributions, moments of first passage time distributions and moments of occupation time random variables, involves the solution of a system of linear…

Probability · Mathematics 2012-08-29 Jeffrey J. Hunter

We study random typical minimal factorizations of the $n$-cycle into transpositions, which are factorizations of $(1, \ldots,n)$ as a product of $n-1$ transpositions. By viewing transpositions as chords of the unit disk and by reading them…

Probability · Mathematics 2018-12-04 Valentin Féray , Igor Kortchemski

In this article we study decreasing and increasing factorisations of the cycle, which are decompositions of the cycle $(1~2\dots n)$ into a product of $n-1$ transpositions satisfying monotonicity conditions. We explicit a bijection between…

Probability · Mathematics 2022-04-21 Etienne Bellin

We introduce block Markov chains (BMCs) indexed by an infinite rooted tree. It turns out that BMCs define a new class of tree-indexed Markovian processes. We clarify the structure of BMCs in connection with Markov chains (MCs) and Markov…

Probability · Mathematics 2020-08-25 Abdessatar Souissi

A sequence of real numbers (x_n) is Benford if the significands, i.e. the fraction parts in the floating-point representation of (x_n) are distributed logarithmically. Similarly, a discrete-time irreducible and aperiodic finite-state Markov…

Probability · Mathematics 2010-03-05 Bahar Kaynar , Arno Berger , Theodore P. Hill , Ad Ridder
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