SELF-ORGANIZED CRITICALITY IN THE BAK-SNEPPEN MODEL

We examine the mechanism by which the Bak-Sneppen evolution model appr oaches the self-organized critical state and the statistical propertie s of the system at criticality, in particular, the gap function and th e spatial-temporal correlation between successive events. Furthermore, we have undertaken extensive numerical simulation, of which the excel lent data collapse explicitly affirms the dynamic scaling behavior of the statistical quantities of the system at criticality.