Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2008-10-06
Physics
Condensed Matter
Disordered Systems and Neural Networks
4 pages, 3 figures
Scientific paper
10.1103/PhysRevE.79.012101
The spectral densities of ensembles of non-Hermitian sparse random matrices are analysed using the cavity method. We present a set of equations from which the spectral density of a given ensemble can be efficiently and exactly calculated. Within this approach, the generalised Girko's law is recovered easily. We compare our results with direct diagonalisation for a number of random matrix ensembles, finding excellent agreement.
Castillo Isaac Pérez
Rogers Tim
No associations
LandOfFree
Cavity approach to the spectral density of non-Hermitian sparse matrices 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 Cavity approach to the spectral density of non-Hermitian sparse matrices, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Cavity approach to the spectral density of non-Hermitian sparse matrices will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-205970