Hyper-sparsity of the density matrix in a wavelet representation

Physics – Condensed Matter

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

4 color figures, 3 normal figures

Scientific paper

O(N) methods are based on the decay properties of the density matrix in real space, an effect sometimes refered to as near-sightedness. We show, that in addition to this near-sightedness in real space there is also a near-sightedness in Fourier space. Using a basis set with good localization properties in both real and Fourier space such as wavelets, one can exploit both localization properties to obtain a density matrix which exhibits additional sparseness properties compared to the scenario where one has a basis set with real space localization only. We will call this additional sparsity hyper-sparsity. Taking advantage of this hyper-sparsity, it is possible to represent very large quantum mechanical systems in a highly compact way. This can be done both for insulating and metallic systems and for arbitrarily accurate basis sets. We expect that hyper-sparsity will pave the way for O(N) calculations of large systems requiring many basis functions per atom, such as Density Functional calculations.

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

Hyper-sparsity of the density matrix in a wavelet representation 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 Hyper-sparsity of the density matrix in a wavelet representation, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Hyper-sparsity of the density matrix in a wavelet representation will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-483185

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