2016
DOI: 10.1007/s00013-016-0972-5
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Li–Yorke chaos for invertible mappings on compact metric spaces

Abstract: In this paper, we construct a homeomorphism on the unit closed disk to show that an invertible mapping on a compact metric space is Li-Yorke chaotic does not imply its inverse being Li-Yorke chaotic.2000 Mathematics Subject Classification. Primary 37B99, 54H20; Secondary 37C15.

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Cited by 8 publications
(3 citation statements)
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“…Correlation dimension (CD) is applied to illustrate the singularity of attractors in dynamical system [25]. Let S = {s 1 , s 2 , • • • } be a time series and e be embedded dimension, then CD of the S is computed by…”
Section: Correlation Dimensionmentioning
confidence: 99%
See 1 more Smart Citation
“…Correlation dimension (CD) is applied to illustrate the singularity of attractors in dynamical system [25]. Let S = {s 1 , s 2 , • • • } be a time series and e be embedded dimension, then CD of the S is computed by…”
Section: Correlation Dimensionmentioning
confidence: 99%
“…For instance, Wu et al proved that the lattice dynamical system was Li-Yorke chaotic for coupling constant 0 < ε < 1 [34]. Luo et al presented a homeomorphism and showed that an invertible mapping on a compact metric space was Li-Yorke chaotic [25]. Wang et al provided two chaotic systems satisfying Devaney's definition of chaos in [29,30].…”
Section: Introductionmentioning
confidence: 99%
“…Exists there chaotic operator, no reiterative distributional chaotic of type 2 on Banach spaces? Before proceeding further, we would like to note that H. Bingzhe and L. Lvlin have shown in [17,Theorem 2.1] that there exists an invertible bounded linear operator T on an infinite-dimensional Hilbert space H such that T is both distributionally chaotic but T −1 is not Li-Yorke chaotic. See also [7,Section 6], where it has been constructed a densely distributionally chaotic operator T ∈ L(l 1 (Z)) such that T is invertible and T −1 is not distributionally chaotic; arguing as in the proof given after Example 2.13 below, we can show that T −1 is densely reiteratively distributionally chaotic of type 1 + and not reiteratively distributionally chaotic of type 2.…”
Section: Reiterative Distributional Chaosmentioning
confidence: 99%