In this paper, we make a qualitative study of the dynamics of a network of
diffusively coupled identical systems. In particular, we derive conditions
on the systems and on the coupling strength between the systems that guaran
tee the global synchronization of the systems. It is shown that the notion
of "minimum phaseness" of the individual systems involved is essential in e
nsuring synchronous behavior in the network when the coupling exceeds a cer
tain computable threshold. On the other hand, it is shown that oscillatory
behavior may arise in a network of identical globally asymptotically stable
systems in case the isolated systems are nonminimum phase. In addition, we
analyze the synchronization or nonsynchronization of the network in terms
of its topology; that is, what happens if either the number of couplings an
d/or systems increases? The results are illustrated by computer simulations
of coupled chaotic systems like the Rossler system and the Lorenz system.