2016
DOI: 10.1017/etds.2016.35
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The generalized recurrent set and strong chain recurrence

Abstract: Fathi and Pageault have recently shown a connection between Auslander's generalized recurrent set $GR(f)$ and Easton's strong chain recurrent set. We study $GR(f)$ by examining that connection in more detail, as well as connections with other notions of recurrence. We give equivalent definitions that do not refer to a metric. In particular, we show that $GR(f^k)=GR(f)$ for any $k>0$, and give a characterization of maps for which the generalized recurrent set is different from the ordinary chain recurrent set.C… Show more

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Cited by 8 publications
(9 citation statements)
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References 21 publications
(41 reference statements)
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“…The interesting dynamics occurs on the nonwandering set, so in order to understand the relationship between the dynamics of a product map and the dynamics of the original maps, we need to understand the nonwandering set; we give necessary and sufficient conditions (Theorem 3.11) for a point x ∈ X to be product nonwandering, that is, for (x, y) to be nonwandering for f × g for any g and any nonwandering point y ∈ Y . Auslander's generalized recurrent set GR(f ) (defined originally for flows (see [4]), and extended to maps (see [1,3])) is a larger and in many ways more dynamically natural set, particularly for understanding Lyapunov functions; see [9] and the references in [17]. We show that GR(f × g) = GR(f ) × GR(g) (Theorem 3.1).…”
Section: Introductionmentioning
confidence: 89%
See 1 more Smart Citation
“…The interesting dynamics occurs on the nonwandering set, so in order to understand the relationship between the dynamics of a product map and the dynamics of the original maps, we need to understand the nonwandering set; we give necessary and sufficient conditions (Theorem 3.11) for a point x ∈ X to be product nonwandering, that is, for (x, y) to be nonwandering for f × g for any g and any nonwandering point y ∈ Y . Auslander's generalized recurrent set GR(f ) (defined originally for flows (see [4]), and extended to maps (see [1,3])) is a larger and in many ways more dynamically natural set, particularly for understanding Lyapunov functions; see [9] and the references in [17]. We show that GR(f × g) = GR(f ) × GR(g) (Theorem 3.1).…”
Section: Introductionmentioning
confidence: 89%
“…[17, Theorem 3.3]). A point x is in M(f ) if and only if for any closed neighborhood D of the diagonal in X × X, there exist a closed symmetric neighborhood N of the diagonal and an integer n > 0 such that N 3 n ⊂ D and there is an (N , f )-chain of length n from x to itself.…”
mentioning
confidence: 99%
“…The set of strong chain recurrent points is denoted by SCR d (f ). In general, strong chain recurrence depends on the choice of the metric; see for example [21][Example 3.1] and [19][Example 2 .6]. A way to eliminate the dependence on the metric in SCR d (f ) is taking the intersection over all metrics.…”
Section: Preliminariesmentioning
confidence: 99%
“…where N W(f ) denotes the non-wandering set of f , and all inclusions can be strict. We refer to [19][Example 2.9] for an exhaustive treatment of these inclusions. The dynamical relevance of the generalized recurrent set relies on its relations with continuous Lyapunov functions.…”
Section: Preliminariesmentioning
confidence: 99%
“…The properties of the relation SP(X) are illustrated in the next proposition, see also [17] (Definition 3.2) and [18] (Definition 2.3 and Theorems 2.1, 2.2, 2.3). We refer to [5] (Page 36, Section 6) for the analogous result in the chain recurrent case.…”
Section: Let Us Definementioning
confidence: 99%