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arxiv: 1712.01407 · v2 · pith:R5GQVXXUnew · submitted 2017-12-04 · 🧮 math.NT

Iteration entropy

classification 🧮 math.NT
keywords entropyfunctionsapplyapproximationasymptoticallyclosecommoncontext
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We apply a common measure of randomness, the entropy, in the context of iterated functions on a finite set with n elements. For a permutation, it turns out that this entropy is asymptotically (for a growing number of iterations) close to \log_2(n) minus the entropy of the vector of its cycle lengths. For general functions, a similar approximation holds.

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