Some Explicit Identities Associated with Positive Self-similar Markov Processes
نویسندگان
چکیده
We consider some special classes of Lévy processes with no gaussian component whose Lévy measure is of the type π(dx) = e γx ν(e x − 1) dx, where ν is the density of the stable Lévy measure and γ is a positive parameter which depends on its characteristics. These processes were introduced in [10] as the underlying Lévy processes in the Lamperti representation of conditioned stable Lévy processes. In this paper, we compute explicitly the law of these Lévy processes at their first exit time from a finite or semi-finite interval, the law of their exponential functional and the first hitting time probability of a pair of points.
منابع مشابه
EXACT AND ASYMPTOTIC n - TUPLE LAWS AT FIRST AND LAST PASSAGE
Understanding the space–time features of how a Lévy process crosses a constant barrier for the first time, and indeed the last time, is a problem which is central to many models in applied probability such as queueing theory, financial and actuarial mathematics, optimal stopping problems, the theory of branching processes, to name but a few. In Doney and Kyprianou [Ann. Appl. Probab. 16 (2006) ...
متن کاملA Ciesielski-Taylor type identity for positive self-similar Markov processes
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 identities within the latter class. The approach makes use of three fundamental features. Firstly a new transformation which maps a subset of the family of ...
متن کامل2 00 7 On continuous state branching processes : conditioning and self - similarity . December 10 , 2008
In this paper, for α ∈ (1, 2], we show that the α-stable continuous-state branching processes and the associated process conditioned never to become extinct are positive self-similar Markov processes. Understanding the interaction of the Lamperti transformation for continuous state branching processes and the Lamperti transformation for positive self-similar Markov processes permits access to a...
متن کاملDeep factorisation of the stable process
The Lamperti–Kiu transformation for real-valued self-similar Markov processes (rssMp) states that, associated to each rssMp via a space-time transformation, is a Markov additive process (MAP). In the case that the rssMp is taken to be an α-stable process with α ∈ (0, 2), [12] and [20] have computed explicitly the characteristics of matrix exponent of the semi-group of the embedded MAP, which we...
متن کاملContinuous-state Branching Processes and Self-similarity
In this paper we study the α-stable continuous-state branching processes (for α ∈ (1, 2]) and the α-stable continuous-state branching processes conditioned never to become extinct in the light of positive self-similarity. Understanding the interaction of the Lamperti transformation for continuous-state branching processes and the Lamperti transformation for positive, self-similar Markov process...
متن کامل