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As well known, all functionals of a Markov process may be expressed in terms of the generator operator, modulo some analytic work. In the case of spectrally negative Markov processes however, it is conjectured that everything can be…

Probability · Mathematics 2016-12-05 Florin Avram , Xiaowen Zhou

This paper studies the workload distribution of a finite-capacity queue driven by a spectrally one-sided Markov additive process (MAP). Our main result provides the Laplace-Stieltjes transform of the workload at an exponentially distributed…

Probability · Mathematics 2026-02-11 Michel Mandjes , Daniël Rutgers , Werner Scheinhardt

Consider a one-sided Markov additive process with an upper and a lower barrier, where each can be either reflecting or terminating. For both defective and non-defective processes and all possible scenarios we identify the corresponding…

Probability · Mathematics 2013-09-20 Jevgenijs Ivanovs

This paper solves exit problems for spectrally negative Markov additive processes and their reflections. A so-called scale matrix, which is a generalization of the scale function of a spectrally negative \levy process, plays a central role…

Probability · Mathematics 2011-10-19 Jevgenijs Ivanovs , Zbigniew Palmowski

We consider a Markov-modulated Brownian motion reflected to stay in a strip [0,B]. The stationary distribution of this process is known to have a simple form under some assumptions. We provide a short probabilistic argument leading to this…

Probability · Mathematics 2010-04-29 Jevgenijs Ivanovs

In this paper we solve the exit problems for an one-sided Markov additive process (MAP) which is exponentially killed with a bivariate killing intensity $\omega(\cdot,\cdot)$ dependent on the present level of the process and the present…

Probability · Mathematics 2018-06-22 Irmina Czarna , Adam Kaszubowski , Shu Li , Zbigniew Palmowski

This paper explicitly computes the transition densities of a spectrally negative stable process with index greater than one, reflected at its infimum. First we derive the forward equation using the theory of sun-dual semigroups. The…

Probability · Mathematics 2016-11-28 Boris Baeumer , Mihály Kovács , Mark M. Meerschaert , René L. Schilling , Peter Straka

We prove precise stability results for overshoots of Markov additive processes (MAPs) with finite modulating space. Our approach is based on the Markovian nature of overshoots of MAPs whose mixing and ergodic properties are investigated in…

Probability · Mathematics 2024-05-28 Leif Döring , Lukas Trottner

In this work, we focus on the stationary analysis of a specific class of continuous time Markov-modulated reflected random walks in the quarter plane with applications in the modelling of two-node Markov-modulated queueing networks with…

Probability · Mathematics 2020-06-02 Ioannis Dimitriou

In this paper we study a reflected Markov-modulated Brownian motion with a two sided reflection in which the drift, diffusion coefficient and the two boundaries are (jointly) modulated by a finite state space irreducible continuous time…

Probability · Mathematics 2011-04-27 Bernardo D'Auria , Offer Kella

Model reduction of Markov processes is a basic problem in modeling state-transition systems. Motivated by the state aggregation approach rooted in control theory, we study the statistical state compression of a discrete-state Markov chain…

Machine Learning · Statistics 2019-11-26 Anru Zhang , Mengdi Wang

In this paper, we develop a new mathematical technique which allows us to express the joint distribution of a Markov process and its running maximum (or minimum) through the marginal distribution of the process itself. This technique is an…

Probability · Mathematics 2015-10-27 Erhan Bayraktar , Sergey Nadtochiy

We investigate one of the simplest multi-species generalizations of the one dimensional exclusion process with reflective boundaries. The Markov matrix governing the dynamics of the system splits into blocks (sectors) specified by the…

Statistical Mechanics · Physics 2014-09-18 Chikashi Arita

We describe an exact approach for calculating transition probabilities and waiting times in finite-state discrete-time Markov processes. All the states and the rules for transitions between them must be known in advance. We can then…

Other Condensed Matter · Physics 2009-11-11 Semen A. Trygubenko , David J. Wales

We determine the asymptotic speed of the first-passage percolation process on some ladder-like graphs (or width-2 stretches) when the times associated with different edges are independent and exponentially distributed but not necessarily…

Probability · Mathematics 2011-02-24 Henrik Renlund

First passage of stochastic processes under resetting has recently been an active research topic in the field of statistical physics. However, most of previous studies mainly focused on the systems with continuous time and space. In this…

Statistical Mechanics · Physics 2022-08-30 Hanshuang Chen , Guofeng Li , Feng Huang

Computational procedures for the stationary probability distribution, the group inverse of the Markovian kernel and the mean first passage times of an irreducible Markov chain, are developed using perturbations. The derivation of these…

Probability · Mathematics 2016-10-12 Jeffrey J. Hunter

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 introduce a perturbative method to calculate all moments of the first-passage time distribution in stochastic one-dimensional processes which are subject to both white and coloured noise. This class of non-Markovian processes is at the…

Statistical Mechanics · Physics 2021-02-12 Benjamin Walter , Gunnar Pruessner , Guillaume Salbreux

A reflection map, induced by the deterministic Skorohod problem on the nonnegative orthant, is applied to an $\mathbb{R}^n$ valued function $X$ on $[0,\infty)$ and then to $a+X$, where $a$ is a nonnegative constant vector. A question that…

Probability · Mathematics 2012-10-09 Offer Kella , Sundareswaran Ramasubramanian
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