Asymptotic properties of the process counted with a random characteristic in the context of fragmentation processes

Mathematics – Probability

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

In this paper we prove a strong law of large numbers and its L^1-convergence counterpart for the process counted with a random characteristic in the context of self-similar fragmentation processes. This result extends a somewhat analogical result by Nerman for general branching processes to fragmentation processes. In addition, we apply the general result of this paper to a specific example that in particular extends a limit theorem, concerning the fragmentation energy, by Bertoin and Mart\'inez from L^1-convergence to almost sure convergence. Our approach treats fragmentation processes with an infinite dislocation measure directly, without using a discretisation method. Moreover, we obtain a result regarding the asymptotic behaviour of the empirical mean associated with some stopped fragmentation process.

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

Asymptotic properties of the process counted with a random characteristic in the context of fragmentation processes 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 Asymptotic properties of the process counted with a random characteristic in the context of fragmentation processes, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Asymptotic properties of the process counted with a random characteristic in the context of fragmentation processes will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-213219

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