Correlations within Eigenvectors and Transition Amplitudes in the Two-Body Random Interaction Model

Physics – Condensed Matter

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

20 pages in Latex and 15 Postscript figures, to appear in Phys. Rev. E (1996)

Scientific paper

10.1103/PhysRevE.53.5729

It is shown that the two-body character of the interaction in a many-body system gives rise to specific correlations between the components of compound states, even if this interaction is completely random. Surprisingly, these correlations increase with the increase of the number of active (valence) particles. Statistical theory of transition amplitudes between compound states, which takes into account these correlation is developed and tested within the framework of the Two-Body Random Interaction Model. It is demonstrated that a feature, which can be called ``correlation resonance'', appears in the distribution of the transition matrix amplitudes, since the correlations strongly reduce the transition amplitudes at the tails and increase them near the maximum of the distribution.

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

Correlations within Eigenvectors and Transition Amplitudes in the Two-Body Random Interaction Model 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 Correlations within Eigenvectors and Transition Amplitudes in the Two-Body Random Interaction Model, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Correlations within Eigenvectors and Transition Amplitudes in the Two-Body Random Interaction Model will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-614855

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