We give necessary and sufficient conditions for a Markov chain to factor on
to a Bernoulli shift (i) as an eventual right-closing factor, (ii) by a rig
ht-closing factor map, (iii) by a one-to-one a.e. right-closing factor map,
and (iv) by a regular isomorphism. We pass to the setting of polynomials i
n several variables to represent the Bernoulli shift by a nonnegative polyn
omial p in several variables and the Markov chain by a matrix A of such pol
ynomials. The necessary and sufficient conditions for each of (i)-(iv) invo
lve only an eigenvector r of A and basic invariants obtained from weights o
f periodic orbits. The characterizations of (ii)-(iv) are deduced from (i).
We formulate (i) as a combinatorial problem, reducing it to certain state-
splittings (partitions) of paths of length n. In terms of positive polynomi
al masses associated with paths, the aim then becomes the construction of p
artitions so that the masses of the paths in each partition element sum to
a multiple of p(n), the multiple being prescribed by r. The construction, w
hich we sketch, relies on a description of the terms of p(n) and on estimat
es of the relative sizes of the coefficients of p(n).