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The Doeblin Graph of a countable state space Markov chain describes the joint pathwise evolutions of the Markov dynamics starting from all possible initial conditions, with two paths coalescing when they reach the same point of the state…

Probability · Mathematics 2022-12-02 François Baccelli , Mir-Omid Haji-Mirsadeghi , Sayeh Khaniha

The solvability of Diophantine quartic equations is a contemporary area of interest due to its connection with generalized Fermat's equation. In this work, we are interested in the integer solutions of a similar Diophantine equation p u^2 =…

Number Theory · Mathematics 2026-05-26 Vinodkumar Ghale

Phylogenetic invariants are certain polynomials in the joint probability distribution of a Markov model on a phylogenetic tree. Such polynomials are of theoretical interest in the field of algebraic statistics and they are also of practical…

Populations and Evolution · Quantitative Biology 2008-01-21 Nicholas Eriksson

It is well known that the Collatz Conjecture can be reinterpreted as the Collatz Graph with root vertex 1, asking whether all positive integers are within the tree generated. It is further known that any cycle in the Collatz Graph can be…

General Mathematics · Mathematics 2023-09-01 Q Le , Edward Smith

We revisit, in a self contained way, the Markov property on planar maps and decorated planar maps from three perspectives. First, we characterize the laws on these planar maps that satisfy both the Markov property and rerooting invariance,…

Probability · Mathematics 2025-08-21 Pablo Araya , Luis Fredes , Avelio Sepúlveda

Let A,K be positive integers and u=-2,-1,1 or 2. The main contribution of the paper is a proof that each of the D(u^2)-triples {K,A^2K+2uA,(A+1)^2K+2u(A+1)} has unique extension to a D(u^2)-quadruple.

Number Theory · Mathematics 2016-11-29 Mihai Cipu , Yasutsugu Fujita , Maurice Mignotte

For different reversible Markov kernels on finite state spaces, we look for families of probability measures for which the time evolution almost remains in their convex hull. Motivated by signal processing problems and metastability studies…

Probability · Mathematics 2017-02-21 Luca Avena , Fabienne Castell , Alexandre Gaudillière , Clothilde Melot

In this paper, we systematically study generalized Markov numbers arising from semigroups of reduced integer matrices. This construction allows us to find these numbers by counting perfect matchings of a new family of bipartite graphs,…

Combinatorics · Mathematics 2026-04-21 Oleg Karpenkov , Yefei Ma

All integer solutions $\left(M,a,c\right)$ to the problem of the sums of $M$ consecutive cubed integers $\left(a+i\right)^{3}$ ($a>1$, $0\leq i\leq M-1$) equaling squared integers $c^{2}$ are found by decomposing the product of the…

Number Theory · Mathematics 2015-01-27 Vladimir Pletser

It is a well-known fact that genetic sequences may contain sections with repeated units, called repeats, that differ in length over a population, with a length distribution of geometric type. A simple class of recombination models with…

Dynamical Systems · Mathematics 2010-02-09 Michael Baake

We use Dirichlet form methods to construct and analyze a reversible Markov process, the stationary distribution of which is the Brownian continuum random tree. This process is inspired by the subtree prune and regraft (SPR) Markov chains…

Probability · Mathematics 2007-05-23 Steven N. Evans , Anita Winter

This paper explores the intricate relationships between Lucas numbers and Diophantine equations, offering significant contributions to the field of number theory. We first establish that the equation regarding Lucas number $L_n = 3x^2$ has…

General Mathematics · Mathematics 2024-09-17 Priyabrata Mandal

A Piatetski-Shapiro sequence with exponent $\alpha$ is a sequence of integer parts of $n^\alpha$ $(n = 1,2,\ldots)$ with a non-integral $\alpha > 0$. We let $\mathrm{PS}(\alpha)$ denote the set of those terms. In this article, we study the…

Number Theory · Mathematics 2021-09-22 Toshiki Matsusaka , Kota Saito

In two phase materials, each phase having a non-local response in time, it has been found that for some driving fields the response somehow untangles at specific times, and allows one to directly infer useful information about the geometry…

Mathematical Physics · Physics 2021-01-06 Ornella Mattei , Graeme W. Milton , Mihai Putinar

The last in-tree recognition problem asks whether a given spanning tree can be derived by connecting each vertex with its rightmost left neighbor of some search ordering. In this study, we demonstrate that the last-in-tree recognition…

Discrete Mathematics · Computer Science 2024-08-26 Jesse Beisegel , Ekkehard Köhler , Fabienne Ratajczak , Robert Scheffler , Martin Strehler

Finding polynomial solutions to Pell's equation is of interest as such solutions sometimes allow the fundamental units to be determined in an infinite class of real quadratic fields. In this paper, for each triple of positive integers…

Number Theory · Mathematics 2018-12-31 James Mc Laughlin

In this note, we consider general growth-fragmentation equations from a probabilistic point of view. Using Foster-Lyapunov techniques, we study the recurrence of the associated Markov process depending on the growth and fragmentation rates.…

Probability · Mathematics 2016-11-03 Florian Bouguet

We review a recent development at the interface between discrete mathematics on one hand and probability theory and statistics on the other, specifically the use of Markov chains and their boundary theory in connection with the asymptotics…

Statistics Theory · Mathematics 2023-11-03 Rudolf Grübel

Let (a,b,c) be a primitive Pythagorean triple, i.e., a^{2}+b^{2}=c^{2} with gcd(a,b,c)=1, a even and b odd. Terai's conjecture says that the Diophantine equation x^{2}+b^{y}=c^{z} has only the positive integer solutions (x,y,z)=(a,2,2). In…

Number Theory · Mathematics 2021-06-01 Refik Keskin , Zafer Şiar

Decision trees are commonly used predictive models due to their flexibility and interpretability. This paper is directed at quantifying the uncertainty of decision tree predictions by employing a Bayesian inference approach. This is…

Machine Learning · Computer Science 2024-03-28 Jodie A. Cochrane , Adrian Wills , Sarah J. Johnson