Gaussian limits for multidimensional random sequential packing at saturation (extended version)

Mathematics – Probability

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

31 pages

Scientific paper

Consider the random sequential packing model with infinite input and in any dimension. When the input consists of non-zero volume convex solids we show that the total number of solids accepted over cubes of volume $\lambda$ is asymptotically normal as $\lambda \to \infty$. We provide a rate of approximation to the normal and show that the finite dimensional distributions of the packing measures converge to those of a mean zero generalized Gaussian field. The method of proof involves showing that the collection of accepted solids satisfies the weak spatial dependence condition known as stabilization.

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

Gaussian limits for multidimensional random sequential packing at saturation (extended version) 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 Gaussian limits for multidimensional random sequential packing at saturation (extended version), we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Gaussian limits for multidimensional random sequential packing at saturation (extended version) will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-277274

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