Alternative Technique for "Complex" Spectra Analysis

Physics – Condensed Matter – Statistical Mechanics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

20 pages, No figures, Revised Version (Minor Changes)

Scientific paper

10.1103/PhysRevE.62.2098

. The choice of a suitable random matrix model of a complex system is very sensitive to the nature of its complexity. The statistical spectral analysis of various complex systems requires, therefore, a thorough probing of a wide range of random matrix ensembles which is not an easy task. It is highly desirable, if possible, to identify a common mathematcal structure among all the ensembles and analyze it to gain information about the ensemble- properties. Our successful search in this direction leads to Calogero Hamiltonian, a one-dimensional quantum hamiltonian with inverse-square interaction, as the common base. This is because both, the eigenvalues of the ensembles, and, a general state of Calogero Hamiltonian, evolve in an analogous way for arbitrary initial conditions. The varying nature of the complexity is reflected in the different form of the evolution parameter in each case. A complete investigation of Calogero Hamiltonian can then help us in the spectral analysis of complex systems.

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

Alternative Technique for "Complex" Spectra Analysis 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 Alternative Technique for "Complex" Spectra Analysis, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Alternative Technique for "Complex" Spectra Analysis will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-625277

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