Abstract
The statistical nature of the real solutions of a set of ±N random nonlinear equations constructed from N variables is examined, using analytical methods developed for neural networks. The nonlinearity of the equations is characterized by powers of the variables. The maximal ± under which the equations have a real solution is found for various cases. The application of the results to physical systems is also discussed.
| Original language | English |
|---|---|
| Pages (from-to) | 520-523 |
| Number of pages | 4 |
| Journal | Physical Review Letters |
| Volume | 65 |
| Issue number | 4 |
| DOIs | |
| State | Published - 1990 |