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Let be a Lévy process started at , with Lévy measure . We consider the first passage time of to level , and the overshoot and the undershoot. We first prove that the Laplace transform of the random triple satisfies some kind of integral equation. Second, assuming that admits exponential moments, we show that converges in distribution as , where denotes a suitable renormalization of .
Ω being a bounded open set in R, with regular boundary, we associate with Navier-Stokes equation in Ω where the velocity is null on ∂Ω, a non-linear branching process (Y, t ≥ 0). More precisely: E(〈h,Y〉) = 〈ω,h〉, for any test function h, where ω = rot u, u denotes the velocity solution of Navier-Stokes equation. The support of the random measure Y increases or decreases in one unit when the underlying process hits ∂Ω; this stochastic phenomenon corresponds to the creation-annihilation of vortex...
As in preceding papers in
which we studied the limits of penalized 1-dimensional Wiener
measures with certain functionals Γ, we obtain here the
existence of the limit, as → ∞, of -dimensional Wiener
measures penalized by a function of the maximum up to time of
the Brownian winding process (for ), or in
2
dimensions for Brownian motion
prevented to exit a cone before time .
Various extensions of these multidimensional penalisations are
studied, and the limit laws are described....
Let () be a Lévy process started at , with Lévy
measure . We consider the first passage time
of
() to level , and the
overshoot and the undershoot. We first prove
that the Laplace transform of the random triple ()
satisfies some kind of integral equation. Second, assuming that
admits exponential moments, we show that
converges in distribution as
→ ∞, where denotes a suitable
renormalization of
.
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