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Bertoin and Le Gall (2003) introduced a certain probability measure valued Markov process that describes the evolution of a population, such that a sample from this population would exhibit a genealogy given by the so-called…

Probability · Mathematics 2007-05-23 Andreas Nordvall Lagerås

In this paper we study a representation problem first considered in a simpler version by Bank and El Karoui [2004]. A key ingredient to this problem is a random measure $\mu$ on the time axis which in the present paper is allowed to have…

Probability · Mathematics 2018-10-22 Peter Bank , David Besslich

This Part establishes the geometric theory of uniformly hyperbolic sets with explicit quantitative bounds throughout, and contains five main theorems. The Stable Manifold Theorem is proved via the backward graph transform, with a complete…

Dynamical Systems · Mathematics 2026-04-27 Abdoulaye Thiam

We provide a new geometric representation of a family of fragmentation processes by nested laminations, which are compact subsets of the unit disk made of noncrossing chords. We specifically consider a fragmentation obtained by cutting a…

Probability · Mathematics 2020-01-20 Paul Thévenin

We study the number of collisions $X_n$ of an exchangeable coalescent with multiple collisions ($\Lambda$-coalescent) which starts with $n$ particles and is driven by rates determined by a finite characteristic measure $\nu({\rm…

Probability · Mathematics 2008-07-18 Alexander Gnedin , Alex Iksanov , Martin Möhle

In this paper, we study consistent and partially exchangeable sequences of Markov chains on a finite state space. We provide a characterisation of the admissible transition rates via a decomposition into individual and coordinated motion of…

We introduce the notion of combinatorial encoding of continuous dynamical systems and suggest the first examples, which are the most interesting and important, namely, the combinatorial encoding of a Bernoulli process with continuous state…

Dynamical Systems · Mathematics 2019-11-05 Anatoly Vershik

Let $\Lambda$ be a finite measure on the unit interval. A $\Lambda$-Fleming-Viot process is a probability measure valued Markov process which is dual to a coalescent with multiple collisions ($\Lambda$-coalescent) in analogy to the duality…

Probability · Mathematics 2008-10-27 Matthias Birkner , Jochen Blath , Martin Moehle , Matthias Steinruecken , Johanna Tams

The unsolved problem of determining which densities are ground state densities of an interacting electron system in some external potential is important to the foundations of density functional theory. A coarse-grained version of this…

Other Condensed Matter · Physics 2007-05-23 Paul E. Lammert

We revisit the discrete additive and multiplicative coalescents, starting with $n$ particles with unit mass. These cases are known to be related to some "combinatorial coalescent processes": a time reversal of a fragmentation of Cayley…

Probability · Mathematics 2014-09-16 Nicolas Broutin , Jean-François Marckert

We call a \emph{comb} a map $f:I\to [0,\infty)$, where $I$ is a compact interval, such that $\{f\ge \varepsilon\}$ is finite for any $\varepsilon$. A comb induces a (pseudo)-distance $\dtf$ on $\{f=0\}$ defined by $\dtf(s,t) =…

General Topology · Mathematics 2020-08-26 Amaury Lambert , Geronimo Uribe Bravo

We introduce and analyze a novel type of coalescent processes called cross-multiplicative coalescent that models a system with two types of particles, $A$ and $B$. The bonds are formed only between the pairs of particles of opposite types…

Probability · Mathematics 2019-09-30 Yevgeniy Kovchegov , Peter T. Otto , Anatoly Yambartsev

A general setting for nested subdivisions of a bounded real set into intervals defining the digits $X_1,X_2,...$ of a random variable $X$ with a probability density function $f$ is considered. Under the weak condition that $f$ is almost…

Probability · Mathematics 2026-01-14 Jesper Møller

A new class of random composition structures (the ordered analog of Kingman's partition structures) is defined by a regenerative description of component sizes. Each regenerative composition structure is represented by a process of random…

Probability · Mathematics 2007-05-23 Alexander Gnedin , Jim Pitman

The Stone-von Neumann Theorem is a fundamental result which unified the competing quantum mechanical models of matrix mechanics and wave mechanics. It's mechanism of proof ultimately involved the study of unitary group representations on a…

Operator Algebras · Mathematics 2024-11-19 Lucas Hall , Leonard Huang , Jacek Krajczok , Mariusz Tobolski

We consider an operator-based latent Markov representation of a stochastic nonlinear dynamical system, where the stochastic evolution of the latent state embedded in a reproducing kernel Hilbert space is described with the corresponding…

Machine Learning · Computer Science 2026-05-08 Naichang Ke , Ryogo Tanaka , Yoshinobu Kawahara

We present an explicit construction of a Markovian random growth process on integer partitions such that given it visits some level $n$, it passes through any partition $\lambda$ of $n$ with equal probabilities. The construction has…

Probability · Mathematics 2024-10-01 Yuri Yakubovich

The dynamic complexity of robots and mechatronic systems often pertains to the hybrid nature of dynamics, where governing equations consist of heterogenous equations that are switched depending on the state of the system. Legged robots and…

Robotics · Computer Science 2023-10-17 Harry Asada

We study topological properties of random metric spaces which arise by Lambda-coalescents. These are stochastic processes, which start with an infinite number of lines and evolve through multiple mergers in an exchangeable setting. We show…

Probability · Mathematics 2011-05-13 Holger F. Biehler , Peter Pfaffelhuber

The goal of the paper is to describe new connections between representation theory and algebraic combinatorics on one side, and probability theory on the other side. The central result is a construction, by essentially algebraic tools, of a…

Combinatorics · Mathematics 2024-08-15 Grigori Olshanski