Abstract
We review some recent techniques for dealing with non-hermitian random matrix models based on generalized Green's functions. We introduce the diagrammatic methods in the hermitian case and generalize them to the non-hermitian case. The results are illustrated in terms of the eigenvalue distribution, eigenvector statistics and addition laws.
| Original language | English |
|---|---|
| Pages (from-to) | 456-462 |
| Number of pages | 7 |
| Journal | Physica E: Low-Dimensional Systems and Nanostructures |
| Volume | 9 |
| Issue number | 3 |
| DOIs | |
| State | Published - Mar 2001 |
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