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We establish integral tests and laws of the iterated logarithm for the lower envelope of positive self-similar Markov processes at 0 and $+\infty$. Our proofs are based on the Lamperti representation and time reversal arguments. These…

Probability · Mathematics 2016-08-16 Loïc Chaumont , Juan-Carlos Pardo

For spectrally positive L\'evy processes killed on exiting the half-line, existence of a quasi-stationary distribution is characterized by the exponential integrability of the exit time, the Laplace exponent and the non-negativity of the…

Probability · Mathematics 2022-12-16 Kosuke Yamato

For a stochastic process $(X_t)_{t\geq 0}$ we establish conditions under which the inverse first-passage time problem has a solution for any random variable $\xi >0$. For Markov processes we give additional conditions under which the…

Probability · Mathematics 2023-05-19 Alexander Klump , Mladen Savov

Ba\~nuelos and Bogdan (2004) and Bogdan, Palmowski and Wang (2016) analyse the asymptotic tail distribution of the first time a stable (L\'evy) process in dimension $d\geq 2$ exists a cone. We use these results to develop the notion of a…

Probability · Mathematics 2020-06-23 Andreas E. Kyprianou , Victor Rivero , Weerapat Satitkanitkul

In contrast to their seemingly simple and shared structure of independence and stationarity, L\'evy processes exhibit a wide variety of behaviors, from the self-similar Wiener process to piecewise-constant compound Poisson processes.…

Probability · Mathematics 2024-11-14 Julien Fageot , Alireza Fallah , Thibaut Horel

We compute the persistence exponent of the integral of a stable L\'evy process in terms of its self-similarity and positivity parameters. This solves a problem raised by Z. Shi (2003). Along the way, we investigate the law of the stable…

Probability · Mathematics 2014-03-06 Christophe Profeta , Thomas Simon

Using Lamperti's relationship between L\'{e}vy processes and positive self-similar Markov processes (pssMp), we study the weak convergence of the law $\mathbb{P}_x$ of a pssMp starting at $x>0$, in the Skorohod space of c\`{a}dl\`{a}g…

Probability · Mathematics 2007-05-23 M. E. Caballero , L. Chaumont

Here, we study the long-term behaviour of the non-explosion probability for continuous-state branching processes in a L\'evy environment when the branching mechanism is given by the negative of the Laplace exponent of a subordinator. In…

Probability · Mathematics 2024-06-19 Natalia Cardona-Tobón , Juan Carlos Pardo

We consider different limit theorems for additive and multiplicative free L\'evy processes. The main results are concerned with positive and unitary multiplicative free L\'evy processes at small time, showing convergence to log free stable…

Probability · Mathematics 2018-10-05 Octavio Arizmendi , Takahiro Hasebe

For a spectrally negative L\'evy process $X$, consider $g_t$, the last time $X$ is below the level zero before time $t\geq 0$. We use a perturbation method for L\'evy processes to derive an It\^o formula for the three-dimensional process…

Probability · Mathematics 2025-06-04 Erik J. Baurdoux , J. M. Pedraza

Two kinds of conditionings for one-dimensional stable L\'evy processes are discussed via $ h $-transforms of excursion measures: One is to stay positive, and the other is to avoid the origin.

Probability · Mathematics 2009-05-15 Kouji Yano

The aim of this note is to give a straightforward proof of a general version of the Ciesielski-Taylor identity for positive self-similar Markov processes of the spectrally negative type which umbrellas all previously known Ciesielski-Taylor…

Probability · Mathematics 2010-12-15 A. E. Kyprianou , P. Patie

Positive self-similar Markov processes (pssMp) are positive Markov processes that satisfy the scaling property and it is known that they can be represented as the exponential of a time-changed L\'evy process via Lamperti representation. In…

Probability · Mathematics 2019-12-13 Grégoire Véchambre

We consider a branching Markov process in continuous time in which the particles evolve independently as spectrally negative L\'evy processes. When the branching mechanism is critical or subcritical, the process will eventually die and we…

Probability · Mathematics 2022-11-23 Christophe Profeta

Let $\xi$ be a (possibly killed) subordinator with Laplace exponent $\phi$ and denote by $I_{\phi}=\int_0^{\infty}\mathrm{e}^{-\xi_s}\,\mathrm{d}s$, the so-called exponential functional. Consider the positive random variable $I_{\psi_1}$…

Probability · Mathematics 2011-05-11 P. Patie

For a positive self-similar Markov process, X, we construct a local time for the random set, $\Theta$, of times where the process reaches its past supremum. Using this local time we describe an exit system for the excursions of X out of its…

Probability · Mathematics 2012-12-10 Loïc Chaumont , Andreas Kyprianou , Juan Carlos Pardo , Víctor Rivero

Taking account of recent developments in the representation of $d$-dimensional isotropic stable L\'evy processes as self-similar Markov processes, we consider a number of new ways to condition its path. Suppose that $\Omega$ is a region of…

Probability · Mathematics 2021-04-09 Andreas E. Kyprianou , Sandra Palau , Tsogzolmaa Saizmaa

We establish two results about local times of spectrally positive stable processes. The first is a general approximation result, uniform in space and on compact time intervals, in a model where each jump of the stable process may be marked…

Probability · Mathematics 2016-09-22 Noah Forman , Soumik Pal , Douglas Rizzolo , Matthias Winkel

We recall four open problems concerning constructing high-order matrix-exponential approximations for the infimum of a spectrally negative Levy process (with applications to first-passage/ruin probabilities, the waiting time distribution in…

Probability · Mathematics 2012-10-10 Florin Avram , Andras Horvath , M. R. Pistorius

We study the small-time asymptotics of sample paths of L\'evy processes and L\'evy-type processes. Namely, we investigate under which conditions the limit $$\limsup_{t \to 0} \frac{1}{f(t)} |X_t-X_0|$$ is finite resp.\ infinite with…

Probability · Mathematics 2021-10-11 Franziska Kühn