1965
DOI: 10.1090/s0002-9947-1965-0175106-9
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Topological entropy

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Cited by 1,141 publications
(998 citation statements)
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“…For a chaotic system, channel capacity is equivalent to the topological entropy because it de"nes the rate at which information is generated by the system [117]. To give a concrete example, consider symbol sequences consisting of a string of n symbols generated by the dynamics.…”
Section: Encoding Digital Messages Using Chaos Controlmentioning
confidence: 99%
“…For a chaotic system, channel capacity is equivalent to the topological entropy because it de"nes the rate at which information is generated by the system [117]. To give a concrete example, consider symbol sequences consisting of a string of n symbols generated by the dynamics.…”
Section: Encoding Digital Messages Using Chaos Controlmentioning
confidence: 99%
“…We consider first the case m = 2. Let v (1) = (v (1) n ) n be defined by (2) ), that concludes the proof for the case m = 2. It is possible to extend in an easy way this argument for an arbitrary m > 0.…”
Section: Proof the Canonical Isomorphism Of Vector Spacesmentioning
confidence: 67%
“…The attempt to give a precise answer to the above questions, not in the setting of vector spaces, but in the less elementary setting of Abelian groups, originated the theory of the algebraic entropy (see [1,6,14,20]). Nowadays, this theory is extended to R-modules over arbitrary rings R (see [2,15,16,18,21]), and also to topological groups (see [9]).…”
mentioning
confidence: 99%
“…Various forms of entropy exist in the literature. For instance, Adler, Konheim, and McAndrew introduced the notion of topological entropy in [1] for continuous maps of compact topological spaces. Measure-theoretic entropy was introduced by Kolmogorov in [28] and later improved by Sinaȋ in [47] for measure-preserving morphisms of probability spaces, and in [4] Bellon and Viallet introduced a notion of algebraic entropy for dominant rational self-maps of projective space.…”
Section: Definitionmentioning
confidence: 99%