53 research outputs found
Persistence and exit times for some additive functionals of skew Bessel processes
Let X be some homogeneous additive functional of a skew Bessel process Y. In
this note, we compute the asymptotics of the first passage time of X to some
fixed level b, and study the position of Y when X exits a bounded interval [a,
b]. As a by-product, we obtain the probability that X reaches the level b
before the level a. Our results extend some previous works on additive
functionals of Brownian motion by Isozaki and Kotani for the persistence
problem, and by Lachal for the exit time problem
Windings of the stable Kolmogorov process
We investigate the windings around the origin of the two-dimensional Markov
process (X,L) having the stable L\'evy process L and its primitive X as
coordinates, in the non-trivial case when |L| is not a subordinator. First, we
show that these windings have an almost sure limit velocity, extending McKean's
result [McK63] in the Brownian case. Second, we evaluate precisely the upper
tails of the distribution of the half-winding times, connecting the results of
our recent papers [CP14, PS14]
Piecewise Constant Martingales and Lazy Clocks
This paper discusses the possibility to find and construct \textit{piecewise
constant martingales}, that is, martingales with piecewise constant sample
paths evolving in a connected subset of . After a brief review of
standard possible techniques, we propose a construction based on the sampling
of latent martingales with \textit{lazy clocks} . These
are time-change processes staying in arrears of the true time but that
can synchronize at random times to the real clock. This specific choice makes
the resulting time-changed process a martingale
(called a \textit{lazy martingale}) without any assumptions on , and
in most cases, the lazy clock is adapted to the filtration of the lazy
martingale . This would not be the case if the stochastic clock
could be ahead of the real clock, as typically the case using standard
time-change processes. The proposed approach yields an easy way to construct
analytically tractable lazy martingales evolving on (intervals of)
.Comment: 17 pages, 8 figure
Persistence of integrated stable processes
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 process L evaluated at the first time its integral X hits zero, when the
bivariate process (X,L) starts from a coordinate axis. This extends classical
formulae by McKean (1963) and Gor'kov (1975) for integrated Brownian motion
On the supremum of products of symmetric stable processes
We study the asymptotics, for small and large values, of the supremum of a
product of symmetric stable processes. We show in particular that the
persistence exponent remains the same as for only one process, up to some
logarithmic terms
The area under a spectrally positive stable excursion and other related processes
We study the distribution of the area under the normalized excursion of a
spectrally positive stable L{\'e}vy process L, as well as the area under its
meander, and under L conditioned to stay positive. Our results involve a
special case of Wright's function, which may be seen as a generalization of the
classic Airy function appearing in similar Brownian's areas
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