Statement

If P\mathcal P is a of an invertible probability-preserving system, then

hμ(T)=hμ(T,P).h_\mu(T)=h_\mu(T,\mathcal P).

The analogous statement holds for a finite one-sided generator of a noninvertible system. This is the Kolmogorov–Sinai generator theorem.

Why it helps

The entropy definition takes a supremum over all finite partitions. A generator contains all measurable information through its iterates, so one partition suffices. For Bernoulli shifts this reduces entropy to the Shannon entropy of one coordinate; for circle doubling, the two half-circle cells give entropy log⁡2\log2.

References
  1. Karma Dajani, Introduction to Ergodic Theory and its Applications to Number Theory, 2014, Theorem 5.3.1 and Exercise 5.3.2(c).