Path Integral Variational Methods for Strongly Correlated Systems

Physics – Nuclear Physics – Nuclear Theory

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

35 RevTeX pages, 7 separated ps figures available on request

Scientific paper

10.1103/PhysRevC.54.1622

We introduce a new approach to highly correlated systems which generalizes the Fermi Hypernetted Chain and Correlated Basis Function techniques. While the latter approaches can only be applied to systems for which a nonrelativistic wave function can be defined, the new approach is based on the variation of a trial hamiltonian within a path integral framework and thus can also be applied to relativistic and field theoretical problems. We derive a diagrammatic scheme for the new approach and show how a particular choice of the trial hamiltonian corresponds exactly to the use of a Jastrow correlated ansatz for the wave function in the Fermi Hypernetted Chain approach. We show how our new approach can be used to find upper bounds to ground state energies in systems which the FHNC cannot handle, including those described by an energy-dependent effective hamiltonian. We demonstrate our approach by applying it to a quantum field theoretical system of interacting pions and nucleons.

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

Path Integral Variational Methods for Strongly Correlated Systems 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 Path Integral Variational Methods for Strongly Correlated Systems, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Path Integral Variational Methods for Strongly Correlated Systems will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-80722

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