Occupation Time Fluctuations in Branching Systems

Mathematics – Probability

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

59 pages

Scientific paper

We consider particle systems in locally compact Abelian groups with particles moving according to a process with symmetric stationary independent increments and undergoing one and two levels of critical branching. We obtain long time fluctuation limits for the occupation time process of the one-and two-level systems. We give complete results for the case of finite variance branching, where the fluctuation limits are Gaussian random fields, and partial results for an example of infinite variance branching, where the fluctuation limits are stable random fields. The asymptotics of the occupation time fluctuations are determined by the Green potential operator G of the individual particle motion and its powers $G^2, G^3$, and by the growth as $t\to\infty$ of the operator $G_t=\int^t_0T_sds$ and its powers, where $T_t$ is the semigroup of the motion. The results are illustrated with two examples of motions: the symmetric $\alpha$-stable L\'evy process in $\erre^d$ $(0<\alpha\leq2)$,and the so called c-hierarchical random walk in the hierarchical group of order N (0

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

Occupation Time Fluctuations in Branching Systems 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 Occupation Time Fluctuations in Branching Systems, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Occupation Time Fluctuations in Branching Systems will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-473385

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