2012
DOI: 10.2478/s11533-012-0106-7
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Fixed points and iterations of mean-type mappings

Abstract: Let (X ) be a metric space and T : X → X a continuous map. If the sequence (T ) ∈N of iterates of T is pointwise convergent in X , then for any ∈ X , the limitis a fixed point of T . The problem of determining the form of µ T leads to the invariance equation µ T • T = µ T , which is difficult to solve in general if the set of fixed points of T is not a singleton. We consider this problem assuming that X = I , where I is a real interval, ≥ 2 a fixed positive integer and T is the mean-type mapping M =(M 1 M ) of… Show more

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Cited by 8 publications
(10 citation statements)
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“…For two means M, N : I 2 → I, a mean K : I 2 → I is called invariant with respect to the mean-type mapping (M, N ) : The following result is a consequence of bivariable version of Corollary 1 in [5] (see also [1,2,4]). Theorem 2.3.…”
Section: Preliminariesmentioning
confidence: 99%
See 1 more Smart Citation
“…For two means M, N : I 2 → I, a mean K : I 2 → I is called invariant with respect to the mean-type mapping (M, N ) : The following result is a consequence of bivariable version of Corollary 1 in [5] (see also [1,2,4]). Theorem 2.3.…”
Section: Preliminariesmentioning
confidence: 99%
“…For the results of this type, with more restrictive assumptions, see [1]. In particular, instead of (1) it was assumed that both means are strict; in [2] it was assumed that at most one mean is not strict, and condition (1) appeared first in [4] (see also [6]). Moreover, in all these papers the uniqueness of the invariant mean was obtained under the condition that it is continuous.…”
Section: Introductionmentioning
confidence: 99%
“…We are able to establish a convergence theorem for certain continuous quasi-nonexpansive mean-type mappings in general normed linear spaces (which immediately covers the result in [3]) and conclude the contractibility of their fixed point sets. This also gives a new result on the structure of fixed point sets of quasinonexpansive mappings outside the strict-convexity setting.…”
Section: Introductionmentioning
confidence: 53%
“…The reader looking for the proof in Borweins' book [20] should compile it combining some particular results, viz. [ The Generalized Gaussian Algorithm, in its consolidated form, was rediscovered by Matkowski [111]: firstly in 1999 for p = 2, under slightly stronger assumptions (see Remark 1.2 below), and in the form presented in Theorem 2.1 in 2009 (see [118]). Notice that an important argument for the equality of some basic limits in the proof presented in [111] was missing.…”
Section: Theorem 21 (Generalized Gaussian Algorithmmentioning
confidence: 99%