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Existence of measures of maximal entropy for 𝒞^{𝓇} interval maps
Author(s) -
David Burguet
Publication year - 2013
Publication title -
proceedings of the american mathematical society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.968
H-Index - 84
eISSN - 1088-6826
pISSN - 0002-9939
DOI - 10.1090/s0002-9939-2013-12067-8
Subject(s) - algorithm , artificial intelligence , computer science
We show that a C r \mathcal {C}^{r} ( r > 1 ) (r>1) map of the interval f : [ 0 , 1 ] → [ 0 , 1 ] f:[0,1]\rightarrow [0,1] with topological entropy larger than log ⁡ ‖ f ′ ‖ ∞ r \frac {\log \|f’\|_{\infty }}{r} admits at least one measure of maximal entropy. Moreover the number of measures of maximal entropy is finite. It is a sharp improvement of the 2006 paper of Buzzi and Ruette in the case of C r \mathcal {C}^r maps and solves a conjecture of J. Buzzi stated in his 1995 thesis. The proof uses a variation of a theorem of isomorphism due to J. Buzzi between the interval map and the Markovian shift associated to the Buzzi-Hofbauer diagram.

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