On the exact asymptotics of exit time from a cone of an isotropic
\(\alpha\)-self-similar Markov process with a
skew-product structure
Zbigniew Palmowski
Longmin Wang
Abstract:
In this paper we identify the asymptotic tail of the distribution of the exit
time \(\tau_C\) from a cone \(C\)
of an isotropic \(\alpha\)-self-similar Markov
process \(X_t\) with a skew-product structure,
that is, \(X_t\) is a product of its radial process and an
independent time changed angular component \(\Theta_t\).
Under some additional regularity assumptions, the angular process \(\Theta_t\)
killed on exiting the cone \(C\) has a transition density that can be expressed
in terms of a complete set of orthogonal eigenfunctions with corresponding eigenvalues of an appropriate generator.
Using this fact and some asymptotic properties of the exponential functional of a killed Lévy process related
to the Lamperti representation of the radial process,
we prove that \[P_x(\tau_C>t)\sim h(x)t^{-\kappa_1}\] as \(t\rightarrow\infty\)
for \(h\) and \(\kappa_1\) identified explicitly.
The result extends the work of De Blassie (1988) and Banuelos and Smits (1997) concerning the Brownian motion.
2010 AMS Mathematics Subject Classification: Primary 31B05; Secondary 60J45.
Keywords and phrases: \(\alpha\) -self-similar process, cone,
exit time, skew-product structure, Lamperti representation, exponential functional, Brownian motion.