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Related papers: Discrete Whittaker processes

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We consider a discrete Markov-additive process, that is a Markov chain on a state space $\mathbb{Z}^d \times E$ with invariant jumps along the $\mathbb{Z}^d$ component. In the case where the set $E$ is finite, we derive an asymptotic…

Probability · Mathematics 2026-05-27 Théo Ballu

By encoding configurations of the ultra-discrete Toda lattice by piecewise linear paths whose gradient alternates between $-1$ and $1$, we show that the dynamics of the system can be described in terms of a shifted version of Pitman's…

Mathematical Physics · Physics 2026-04-15 David A. Croydon , Makiko Sasada , Satoshi Tsujimoto

In this work, we characterise the statistics of Markov chains by constructing an associated sequence of periodic differential operators. Studying the density of states of these operators reveals the absolutely continuous invariant measure…

Dynamical Systems · Mathematics 2025-09-22 Bryn Davies , Angelica Yu Xiao

Weak approximations have been developed to calculate the expectation value of functionals of stochastic differential equations, and various numerical discretization schemes (Euler, Milshtein) have been studied by many authors. We present a…

Probability · Mathematics 2009-08-10 Hideyuki Tanaka , Arturo Kohatsu-Higa

Markov chains are studied in a formulation involving forces and fluxes. First, the iso-dissipation force recently introduced in the physics literature is investigated; we show that its non-uniqueness is linked to different notions of…

Probability · Mathematics 2023-06-21 M. H. Duong , J. Zimmer

Random walks in cones have the double interest of being at the heart of many probabilistic problems and of being related to many mathematical fields, such as spectral theory, combinatorics, or discrete complex analysis. In this article, we…

Probability · Mathematics 2022-11-08 Kilian Raschel , Pierre Tarrago

This paper introduces a matrix analog of the Bessel processes, taking values in the closed set $E$ of real square matrices with nonnegative determinant. They are related to the well-known Wishart processes in a simple way: the latter are…

Probability · Mathematics 2015-06-24 Martin Larsson

We study the convergence in rough path topology of a certain class of discrete processes, the hidden Markov walks, to a Brownian motion with an area anomaly. This area anomaly, which is a new object, keeps track of the time-correlation of…

Probability · Mathematics 2020-03-20 Olga Lopusanschi , Damien Simon

The partially asymmetric exclusion process (PASEP) is an important model from statistical mechanics which describes a system of interacting particles hopping left and right on a one-dimensional lattice of N sites. It is partially asymmetric…

Combinatorics · Mathematics 2007-05-23 Sylvie Corteel , Lauren K. Williams

Using a Markov chain approach we rederive the exact density functional for hard rod mixtures on a one-dimensional lattice, which forms the basis of the lattice fundamental measure theory. The transition probability in the Markov chain…

Statistical Mechanics · Physics 2015-06-03 Benaoumeur Bakhti , Stephan Schott , Philipp Maass

The branching rule is one of the most fundamental properties of the Macdonald symmetric polynomials. It expresses a Macdonald polynomial as a nonnegative linear combination of Macdonald polynomials with smaller number of variables. Taking a…

Probability · Mathematics 2022-10-21 Leonid Petrov

Reversibility is a key property of Markov chains, central to algorithms such as Metropolis-Hastings and other MCMC methods. Yet many applications yield non-reversible chains, motivating the problem of approximating them by reversible ones…

Numerical Analysis · Mathematics 2026-02-27 Stefano Cipolla , Fabio Durastante , Miryam Gnazzo , Beatrice Meini

A general way to construct ladder models with certain Lie algebraic or quantum Lie algebraic symmetries is presented. These symmetric models give rise to series of integrable systems. It is shown that corresponding to these SU(2) symmetric…

Condensed Matter · Physics 2010-12-01 Sergio Albeverio , Shao-Ming Fei

Macdonald processes are probability measures on sequences of partitions defined in terms of nonnegative specializations of the Macdonald symmetric functions and two Macdonald parameters q,t in [0,1). We prove several results about these…

Probability · Mathematics 2015-03-19 Alexei Borodin , Ivan Corwin

We consider Markov chain Monte Carlo methods for calculating conditional p values of statistical models for count data arising in Box-Behnken designs. The statistical model we consider is a discrete version of the first-order model in the…

Statistics Theory · Mathematics 2018-08-22 Satoshi Aoki , Takayuki Hibi , Hidefumi Ohsugi

We present a variational theory of integrable differential-difference equations (semi-discrete integrable systems). This is a natural extension of the ideas known by the names "Lagrangian multiforms" and "Pluri-Lagrangian systems", which…

Exactly Solvable and Integrable Systems · Physics 2022-12-06 Duncan Sleigh , Mats Vermeeren

Many integrable stochastic particle systems in one space dimension (such as TASEP - Totally Asymmetric Simple Exclusion Process - and its $q$-deformation, the $q$-TASEP) remain integrable if we equip each particle with its own speed…

Probability · Mathematics 2023-06-21 Leonid Petrov , Axel Saenz

The purpose of this work is to construct a {\it Brownian motion} with values in simplicial complexes with piecewise differential structure. In order to state and prove the existence of such Brownian motion, we define a family of continuous…

Probability · Mathematics 2007-05-23 Taoufik Bouziane

We survey recent work that relates Pitman's transformation to a variety of classical integrable systems, including the box-ball system, the ultra-discrete and discrete KdV equations, and the ultra-discrete and discrete Toda lattice…

Probability · Mathematics 2026-04-15 David A. Croydon , Makiko Sasada

\noindent Consider an infinite collection of particles on the real line moving according to independent Brownian motions and such that the $i$-th particle from the left gets the drift $g_{i-1}$. The case where $g_0=1$ and $g_{i}=0$ for all…

Probability · Mathematics 2024-07-09 Sayan Banerjee , Amarjit Budhiraja
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