  We obtain necessary and sufficient conditions for the regular variation of
the variance of partial sums of functionals of discrete and continuous-time
stationary Markov processes with normal transition operators. We also construct
a class of Metropolis-Hastings algorithms which satisfy a central limit theorem
and invariance principle when the variance is not linear in $n$.
