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In this brief paper we find computable exponential convergence rates for a large class of stochastically ordered Markov processes. We extend the result of Lund, Meyn, and Tweedie (1996), who found exponential convergence rates for…

Probability · Mathematics 2018-10-19 Julia Gaudio , Saurabh Amin , Patrick Jaillet

Coalescing ballistic annihilation is an interacting particle system intended to model features of certain chemical reactions. Particles are placed with independent and identically distributed spacings on the real line and begin moving with…

Probability · Mathematics 2022-09-21 Darío Cruzado Padró , Matthew Junge , Lily Reeves

We study a stochastic multiplicative system composed of finite asynchronous elements to describe the wealth evolution in financial markets. We find that the wealth fluctuations or returns of this system can be described by a walk with…

Statistical Mechanics · Physics 2009-11-07 Zhi-Feng Huang , Sorin Solomon

Motion of particles in many systems exhibits a mixture between periods of random diffusive like events and ballistic like motion. In many cases, such systems exhibit strong anomalous diffusion, where low order moments $< |x(t)|^q >$ with…

Statistical Mechanics · Physics 2015-06-22 Adi Rebenshtok , Sergey Denisov , Peter Hanggi , Eli Barkai

We consider a general honest homogeneous continuous-time Markov process with restarts. The process is forced to restart from a given distribution at time moments generated by an independent Poisson process. The motivation to study such…

Probability · Mathematics 2012-06-26 Konstantin Avrachenkov , Alexei Piunovskiy , Zhang Yi

We report on a fundamental role of a non-normalized formal steady state, i.e., an infinite invariant density, in a semi-Markov process where the state is determined by the inter-event time of successive renewals. The state describes certain…

Statistical Mechanics · Physics 2020-07-14 Takuma Akimoto , Eli Barkai , Günter Radons

Recent fluctuation identities for $\alpha$-stable L\'evy processes have decomposed paths using generalised spherical polar coordinates revealing an underlying Markov Additive Process (MAP) for which a more advanced form of excursion theory…

Probability · Mathematics 2024-07-31 Andreas E. Kyprianou , Sonny Medina , Juan Carlos Pardo

We analyze almost sure asymptotic behavior of extreme values of a regenerative process. We show that under certain conditions a properly centered and normalized running maximum of a regenerative process satisfies a law of the iterated…

Probability · Mathematics 2020-03-30 Alexander Marynych , Ivan Matsak

The East process is a 1D kinetically constrained interacting particle system, introduced in the physics literature in the early 90's to model liquid-glass transitions. Spectral gap estimates of Aldous and Diaconis in 2002 imply that its…

Probability · Mathematics 2014-12-22 Shirshendu Ganguly , Eyal Lubetzky , Fabio Martinelli

We study a Markov chain with very different mixing rates depending on how mixing is measured. The chain is the "Burnside process on the hypercube $C_2^n$." Started at the all-zeros state, it mixes in a bounded number of steps, no matter how…

Probability · Mathematics 2025-12-30 Persi Diaconis , Andrew Lin , Arun Ram

Let X be a spectrally negative self-similar Markov process with 0 as an absorbing state. In this paper, we show that the distribution of the absorption time is absolutely continuous with an infinitely continuously differentiable density. We…

Probability · Mathematics 2012-04-12 P. Patie

An asymptotic expansion is established for time averages of translation flows on flat surfaces. This result, which extends earlier work of A.Zorich and G.Forni, yields limit theorems for translation flows. The argument, close in spirit to…

Dynamical Systems · Mathematics 2014-07-28 Alexander I. Bufetov

We study the ballistic L\'evy walk stemming from an infinite mean traveling time between collision events. Our study focuses on the density of spreading particles all starting from a common origin, which is limited by a `light' cone $-v_0…

Statistical Mechanics · Physics 2020-11-18 Wanli Wang , Marc Höll , Eli Barkai

Let X and Y be time-homogeneous Markov processes with common state space E, and assume that the transition kernels of X and Y admit densities with respect to suitable reference measures. We show that if there is a time t>0 such that, for…

Probability · Mathematics 2007-05-23 P. J. Fitzsimmons

By the probabilistic coupling approach which combines a new refined basic coupling with the synchronous coupling for L\'evy processes, we obtain explicit exponential contraction rates in terms of the standard $L^1$-Wasserstein distance for…

Probability · Mathematics 2024-02-20 Yao Liu , Jian Wang , Meng-ge Zhang

Distributional identities for a L\'evy process $X_t$, its quadratic variation process $V_t$ and its maximal jump processes, are derived, and used to make "small time" (as $t\downarrow0$) asymptotic comparisons between them. The…

Probability · Mathematics 2016-06-24 Boris Buchmann , Yuguang Fan , Ross A. Maller

Pilgrim's monopoly is a probabilistic process giving rise to a non-negative sequence $T_1, T_2,\ldots$ that is infinitely exchangeable, a natural model for time-to-event data. The one-dimensional marginal distributions are exponential. The…

Statistics Theory · Mathematics 2015-09-02 Walter Dempsey , Peter McCullagh

We consider the following Markovian dynamic on point processes: at constant rate and with equal probability, either the rightmost atom of the current configuration is removed, or a new atom is added at a random distance from the rightmost…

Probability · Mathematics 2017-11-22 Peter Lakner , Josh Reed , Florian Simatos

Consider a $\Lambda$-coalescent that comes down from infinity (meaning that it starts from a configuration containing infinitely many blocks at time 0, yet it has a finite number $N_t$ of blocks at any positive time $t>0$). We exhibit a…

Probability · Mathematics 2012-07-23 Julien Berestycki , Nathanaël Berestycki , Vlada Limic

Many physical and biological processes are modeled by "particles" undergoing L\'evy random walks. A feature of significant interest in these systems is the mean square displacement (MSD) of the particles. Long-time asymptotic approximations…

Statistical Mechanics · Physics 2020-02-13 Christoph Borgers , Claude Greengard