  We consider parabolic stochastic partial differential equations driven by
white noise in time. We prove exponential convergence of the transition
probabilities towards a unique invariant measure under suitable conditions.
These conditions amount essentially to the fact that the equation transmits the
noise to all its determining modes. Several examples are investigated,
including some where the noise does not act on every determining mode directly.
