Canonical Transformation of the Hubbard Model and W=0 Pairing: Comparison with Exact Diagonalization Results

Physics – Condensed Matter – Superconductivity

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

6 pages, presented to the SATT10 Conference, Frascati (Rome) 2000

Scientific paper

We have recently developed a canonical transformation of the Hubbard and related models, valid for systems of arbitrary size and for the full plane; this is particularly suited to study hole pairing. In this work we show that exact diagonalization results of the one band Hubbard model for small clusters with periodic boundary conditions agree well with the analytical ones obtained by means of our canonical transformation. In the presence of a pairing instability, the analytic approach allows us to identify the Cooper pairs. They are W=0 pairs, that is, singlet two-hole eigenstates of the Hubbard Hamiltonian with vanishing on-site repulsion. Indeed, we find that the Coulomb interaction effects on W=0 pairs are dynamically small, and repulsive or attractive, depending on the filling.

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

Canonical Transformation of the Hubbard Model and W=0 Pairing: Comparison with Exact Diagonalization Results 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 Canonical Transformation of the Hubbard Model and W=0 Pairing: Comparison with Exact Diagonalization Results, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Canonical Transformation of the Hubbard Model and W=0 Pairing: Comparison with Exact Diagonalization Results will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-102929

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