  We consider the evolution of large but finite populations on arbitrary
fitness landscapes. We describe the evolutionary process by a Markov, Moran
process. We show that to $\mathcal O(1/N)$, the time-averaged fitness is lower
for the finite population than it is for the infinite population. We also show
that fluctuations in the number of individuals for a given genotype can be
proportional to a power of the inverse of the mutation rate. Finally, we show
that the probability for the system to take a given path through the fitness
landscape can be non-monotonic in system size.
