Invariance of Shannon entropy under a measure-preserving map #
This file continues the measure-theoretic foundation for Kolmogorov–Sinai entropy started in
Oseledets.Entropy.Partition and Oseledets.Entropy.Join. It records the T-invariance of
the Shannon entropy of a finite family of cells: pulling each cell back along a measure-preserving
transformation T leaves the entropy unchanged.
Following the Le Maître notes on the Kolmogorov–Sinai theorem, this is the elementary but
indispensable ingredient making the sequence n ↦ H(⋁ₖ₌₀ⁿ⁻¹ Tᵏα) subadditive, which is what
licenses the Fekete limit defining the entropy h(T, α) of T relative to a partition α. The
entropy of the pulled-back partition T⁻¹α = (T⁻¹Aᵢ) equals that of α simply because T
preserves the measure of each cell, μ (T⁻¹ Aᵢ) = μ Aᵢ, so the corresponding negMulLog terms
agree.
Main results #
Oseledets.Entropy.entropy_comp_preimage: for a measure-preservingT : α → αand a finite family of null-measurable cellss, the entropy of the pulled-back familyfun i => T ⁻¹' s iequals that ofs.
References #
- François Le Maître, Notes on the Kolmogorov–Sinai theorem (2017), §1.
T-invariance of Shannon entropy. If T : α → α preserves the measure μ and each cell
s i is null-measurable, then the entropy of the pulled-back family fun i => T ⁻¹' s i equals
the entropy of s. Indeed each term negMulLog (μ (T ⁻¹' s i)).toReal equals
negMulLog (μ (s i)).toReal, since μ (T ⁻¹' s i) = μ (s i) by measure-preservation. This is the
invariance making the joined-partition entropy sequence subadditive, hence the Fekete limit
defining Kolmogorov–Sinai entropy well defined.