  In this paper we study the additive functionals of Markov chains via
conditioning with respect to both past and future of the chain. We shall point
out new sufficient projective conditions, which assure that the variance of
partial sums of n consecutive random variables of a stationary Markov chain is
linear in n. The paper also addresses the central limit theorem problem and is
listing several open questions.
