The number of integer points in a family of anisotropically expanding domains

Mathematics – Number Theory

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

13 pages. arXiv admin note: text overlap with arXiv:1006.4977

Scientific paper

We investigate the remainder in the asymptotic formula for the number of integer points in a family of bounded domains in the Euclidean space, which remain unchanged along some linear subspace and expand in the directions, orthogonal to this subspace. We prove some estimates for the remainder, imposing additional assumptions on the boundary of the domain. We study the average remainder estimates, where the averages are taken over rotated images of the domain by a subgroup of the group SO(n) of orthogonal transformations of the Euclidean space R^n. Using these results, we improve the remainder estimate in the adiabatic limit formula for the eigenvalue distribution function of the Laplace operator associated with a bundle-like metric on a compact manifold equipped with a Riemannian foliation in the particular case when the foliation is a linear foliation on the torus and the metric is the standard Euclidean metric on the torus.

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 number of integer points in a family of anisotropically expanding domains 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 number of integer points in a family of anisotropically expanding domains, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and The number of integer points in a family of anisotropically expanding domains will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-552465

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