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Related papers: Macdonald processes

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We derive a matrix product formula for symmetric Macdonald polynomials. Our results are obtained by constructing polynomial solutions of deformed Knizhnik--Zamolodchikov equations, which arise by considering representations of the…

Mathematical Physics · Physics 2015-09-30 Luigi Cantini , Jan de Gier , Michael Wheeler

We give a probabilistic introduction to determinantal and permanental point processes. Determinantal processes arise in physics (fermions, eigenvalues of random matrices) and in combinatorics (nonintersecting paths, random spanning trees).…

Probability · Mathematics 2016-08-16 J. Ben Hough , Manjunath Krishnapur , Yuval Peres , Bálint Virág

Consider the Leibenson equation \begin{equation*} \partial_t u = \Delta_p u^q, \end{equation*} where $\Delta_p f = div(|\nabla f|^{p-2}\nabla f)$ for $p>1$ and $q>0$, which is a simultaneous generalization of the porous media and the…

Probability · Mathematics 2025-08-19 Viorel Barbu , Sebastian Grube , Marco Rehmeier , Michael Röckner

Multiline queues are versatile combinatorial objects that play a key role in understanding the remarkable connection between the asymmetric simple exclusion process (ASEP) on a circle and Macdonald polynomials. Specializing the results of…

Combinatorics · Mathematics 2025-09-05 Olya Mandelshtam , Jerónimo Valencia-Porras

We study cylindric partitions with two-element profiles using MacMahon's partition analysis. We find explicit formulas for the generating functions of the number of cylindric partitions by first finding the recurrences using partition…

Combinatorics · Mathematics 2025-02-03 Runqiao Li , Ali K. Uncu

We perform a time-dependent study of the driven dynamics of overdamped particles which are placed in a one-dimensional, piecewise linear random potential. This set-up of spatially quenched disorder then exerts a dichotomous varying random…

Statistical Mechanics · Physics 2016-08-14 S. I. Denisov , M. Kostur , E. S. Denisova , P. Hänggi

In this paper, we consider the composition of two independent processes : one process corresponds to position and the other one to time. Such processes will be called iterated processes. We first propose an algorithm based on the Euler…

Probability · Mathematics 2017-05-03 Michèle Thieullen , Alexis Vigot

We provide a probabilistic description of the stationary measures for the open KPZ on the spatial interval $[0,1]$ in terms of a Markov process $Y$, which is a Doob's $h$ transform of the Brownian motion killed at an exponential rate. Our…

Probability · Mathematics 2023-04-04 Wlodek Bryc , Alexey Kuznetsov , Yizao Wang , Jacek Wesolowski

We study probability measures on partitions based on symmetric Grothendieck polynomials. These deformations of Schur polynomials introduced in the K-theory of Grassmannians share many common properties. Our Grothendieck measures are analogs…

Probability · Mathematics 2024-03-26 Svetlana Gavrilova , Leonid Petrov

Let $f:\mathbb{R}^k\to \mathbb{R}$ be a measurable function, and let $\{U_i\}_{i\in\mathbb{N}}$ be a sequence of i.i.d. random variables. Consider the random process $Z_i=f(U_{i},...,U_{i+k-1})$. We show that for all $\ell$, there is a…

Probability · Mathematics 2016-08-10 Noga Alon , Ohad N. Feldheim

We study a one dimensional directed polymer model in an inverse-gamma random environment, known as the log-gamma polymer, in three different geometries: point-to-line, point-to-half line and when the polymer is restricted to a half space…

Probability · Mathematics 2026-01-26 Elia Bisi , Nikos Zygouras

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

In this paper we introduce the space-fractional Poisson process whose state probabilities $p_k^\alpha(t)$, $t>0$, $\alpha \in (0,1]$, are governed by the equations $(\mathrm d/\mathrm dt)p_k(t) = -\lambda^\alpha (1-B)p_k^\alpha(t)$, where…

Probability · Mathematics 2013-03-28 Enzo Orsingher , Federico Polito

The present paper originated from our previous study of the problem of harmonic analysis on the infinite symmetric group. This problem leads to a family {P_z} of probability measures, the z-measures, which depend on the complex parameter z.…

Probability · Mathematics 2009-02-15 Alexei Borodin , Grigori Olshanski

Cylindric plane partitions may be thought of as a natural generalization of reverse plane partitions. A generating series for the enumeration of cylindric plane partitions was recently given by Borodin. The first result of this paper is a…

Combinatorics · Mathematics 2012-04-23 Robin Langer

We study infinite systems of particles which undergo coalescence and fragmentation, in a manner determined solely by their masses. A pair of particles having masses $x$ and $y$ coalesces at a given rate $K(x,y)$. A particle of mass $x$…

Probability · Mathematics 2015-08-07 Eduardo Cepeda

We analyze and partially solve system of recurrences that can be derived from the properties of martingale orthogonal polynomials that characterize quadratic harnesses (QH). We also specify conditions for the existence of moments of one…

Probability · Mathematics 2013-12-18 Paweł J. Szabłowski

We introduce generalization of famous Macdonald polynomials for the case of super-Young diagrams that contain half-boxes on the equal footing with full boxes. These super-Macdonald polynomials are polynomials of extended set of variables:…

High Energy Physics - Theory · Physics 2024-08-09 Dmitry Galakhov , Alexei Morozov , Nikita Tselousov

We introduce the concept of an imprecise Markov semigroup \(\mathbf Q\). It is a tool that allows us to represent ambiguity around both the transition probabilities and the invariant measure of a continuous-time Markov process via a…

Probability · Mathematics 2026-03-03 Michele Caprio , Mengqi Chen

We study the problem of parallelizing sampling from distributions related to determinants: symmetric, nonsymmetric, and partition-constrained determinantal point processes, as well as planar perfect matchings. For these distributions, the…

Data Structures and Algorithms · Computer Science 2023-05-01 Nima Anari , Callum Burgess , Kevin Tian , Thuy-Duong Vuong