Existence and regularity for a class of infinite-measure $(ξ,ψ,K)$-superprocesses

Mathematics – Probability

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

We extend the class of $(\xi,\psi,K)$-superprocesses known so far by applying a simple transformation induced by a \lq\lq weight function\rq\rq\ for the one-particle motion. These transformed superprocesses may exist under weak conditions on the branching parameters, and their state space automatically extends to a certain space of possibly infinite Radon measures. It turns out that a number of superprocesses which were so far not included in the general theory fall into this class. For instance, we are able to extend the hyperbolic branching catalyst of Fleischmann and Mueller to the case of $\beta$-branching. In the second part of this paper, we discuss regularity properties of our processes. Under the assumption that the one-particle motion is a Hunt process, we show that our superprocesses possess right versions having \cadlag\ paths with respect to a natural topology on the state space. The proof uses an approximation with branching particle systems on Skorohod space.

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

Existence and regularity for a class of infinite-measure $(ξ,ψ,K)$-superprocesses 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 Existence and regularity for a class of infinite-measure $(ξ,ψ,K)$-superprocesses, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Existence and regularity for a class of infinite-measure $(ξ,ψ,K)$-superprocesses will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-623435

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