Right inverses of Levy processes: the excursion measure in the general case

Mathematics – Probability

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

12 pages

Scientific paper

This article is about right inverses of Levy processes as first introduced by Evans in the symmetric case and later studied systematically by the present authors and their co-authors. Here we add to the existing fluctuation theory an explicit description of the excursion measure away from the (minimal) right inverse. This description unifies known formulas in the case of a positive Gaussian coefficient and in the bounded variation case. While these known formulas relate to excursions away from a point starting negative continuously, and excursions started by a jump, the present description is in terms of excursions away from the supremum continued up to a return time. In the unbounded variation case with zero Gaussian coefficient previously excluded, excursions start negative continuously, but the excursion measures away from the right inverse and away from a point are mutually singular. We also provide a new construction and a new formula for the Laplace exponent of the minimal right inverse.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Right inverses of Levy processes: the excursion measure in the general case does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Right inverses of Levy processes: the excursion measure in the general case, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Right inverses of Levy processes: the excursion measure in the general case will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-342129

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.