Potential theory for hyperbolic SPDEs

Mathematics – Probability

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Published by the Institute of Mathematical Statistics (http://www.imstat.org) in the Annals of Probability (http://www.imsta

Scientific paper

10.1214/009117904000000685

We give general sufficient conditions which imply upper and lower bounds for the probability that a multiparameter process hits a given set E in terms of a capacity of E related to the process. This extends a result of Khoshnevisan and Shi [Ann. Probab. 27 (1999) 1135-1159], where estimates for the hitting probabilities of the (N,d) Brownian sheet in terms of the (d-2N) Newtonian capacity are obtained, and readily applies to a wide class of Gaussian processes. Using Malliavin calculus and, in particular, a result of Kohatsu-Higa [Probab. Theory Related Fields 126 (2003) 421-457], we apply these general results to the solution of a system of d nonlinear hyperbolic stochastic partial differential equations with two variables. We show that under standard hypotheses on the coefficients, the hitting probabilities of this solution are bounded above and below by constants times the (d-4) Newtonian capacity. As a consequence, we characterize polar sets for this process and prove that the Hausdorff dimension of its range is min(d,4) a.s.

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

Potential theory for hyperbolic SPDEs 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 Potential theory for hyperbolic SPDEs, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Potential theory for hyperbolic SPDEs will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-103318

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