The Lent Particle Method, Application to Multiple Poisson Integrals

Mathematics – Probability

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

We give a extensive account of a recent new way of applying the Dirichlet form theory to random Poisson measures. The main application is to obtain existence of density for thelaws of random functionals of L\'evy processes or solutions of stochastic differential equations with jumps. As in the Wiener case the Dirichlet form approach weakens significantly theregularity assumptions. The main novelty is an explicit formula for the gradient or for the "carr\'e du champ' on the Poisson space called the lent particle formula because based on adding a new particle to the system, computing the derivative of the functional with respect to this new argument and taking back this particle before applying the Poisson measure. The article is expository in its first part and based on Bouleau-Denis [12] with several new examples, applications to multiple Poisson integrals are gathered in the last part which concerns the relation with the Fock space and some aspects of the second quantization.

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

The Lent Particle Method, Application to Multiple Poisson Integrals 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 The Lent Particle Method, Application to Multiple Poisson Integrals, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and The Lent Particle Method, Application to Multiple Poisson Integrals will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-623895

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