2020
DOI: 10.3934/dcds.2020019
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Variational principles of invariance pressures on partitions

Abstract: 1. Introduction. Topological feedback entropy was first introduced by Nair et al. [14] by using invariant open covers to characterize the minimal data rate for making a subset of the state space invariant. Later, Colonius and Kawan [5] introduced invariance entropy, which is defined via spanning sets, to describe the exponential growth rate of the minimal number of different control functions sufficient for orbits to stay in a given set when starting in a subset of this set. The fact that these two entropies a… Show more

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Cited by 9 publications
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“…For better understanding of invariance entropy, various notions relating to invariance entropy have been proposed by several groups of researchers from different views, such as invariance pressure [15,16,17,18,19,20], measure-theoretic versions of invariance entropy [21,22,23,24], dimension types of invariance entropy [25], complexity of invariance entropy [26,27,28]. Note that Kawan and Yüksel [29] introduced a notion of stabilization entropy which is a variant of invariance entropy.…”
Section: Introductionmentioning
confidence: 99%
“…For better understanding of invariance entropy, various notions relating to invariance entropy have been proposed by several groups of researchers from different views, such as invariance pressure [15,16,17,18,19,20], measure-theoretic versions of invariance entropy [21,22,23,24], dimension types of invariance entropy [25], complexity of invariance entropy [26,27,28]. Note that Kawan and Yüksel [29] introduced a notion of stabilization entropy which is a variant of invariance entropy.…”
Section: Introductionmentioning
confidence: 99%
“…For controlled invariant sets with zero invariance entropy, it is useful to consider the invariance complexity function first studied by Wang, Huang and Chen [24], which is an analogue in topological dynamical systems (see [12] and the references therein). We refer the readers to [1,2,3,5,6,7,4,10,11,13,14,16,21,22,23,25,26,27] for more details about invariance entropy.…”
Section: Introductionmentioning
confidence: 99%