Approximating common fixed points of semigroups in metric spaces
- Buthinah A Bin Dehaish^{1}Email author and
- Mohamed A Khamsi^{2, 3}
https://doi.org/10.1186/s13663-015-0291-8
© Bin Dehaish and Khamsi; licensee Springer. 2015
Received: 1 August 2014
Accepted: 14 January 2015
Published: 30 April 2015
Abstract
In this paper, we investigate the common fixed points set of nonexpansive semigroups of nonlinear mappings \(\{T_{t}\}_{t \geq0}\), i.e., a family such that \(T_{0}(x)=x\), \(T_{s+t}=T_{s}(T_{t}(x))\), where the domain is a metric space \((M,d)\). In particular we prove that under suitable conditions, the common fixed points set is the same as the common fixed points set of two mappings from the family. Then we use the modified Mann iteration process to approximate such common fixed points.
Keywords
MSC
1 Introduction
The purpose of this paper is to prove the existence of common fixed points for semigroups of nonlinear mappings acting in metric spaces. Recently, Khamsi and Kozlowski presented a series of fixed point results for pointwise contractions, asymptotic pointwise contractions, pointwise nonexpansive and asymptotic pointwise nonexpansive mappings acting in modular function spaces [1, 2].
Let us recall that a family \(\{T_{t}\}_{t\geq0}\) of mappings forms a semigroup if \(T_{0}(x) = x\) and \(T_{s+t} = T_{s}\circ T_{t}\). Such a situation is quite typical in mathematics and applications. For instance, in the theory of dynamical systems, the vector function space would define the state space and the mapping \((t, x)\rightarrow T_{t}(x)\) would represent the evolution function of a dynamical system. The question about the existence of common fixed points, and about the structure of the set of common fixed points, can be interpreted as a question whether there exist points that are fixed during the state space transformation \(T_{t}\) at any given point of time t, and if yes - what the structure of a set of such points may look like. In the setting of this paper, the state space is a nonlinear metric space.
The existence of common fixed points for families of contractions and nonexpansive mappings in Banach spaces has been the subject of intense research since the early 1960s, as investigated by Belluce and Kirk [3, 4], Browder [5], Bruck [6], DeMarr [7], and Lim [8]. The asymptotic approach for finding common fixed points of semigroups of Lipschitzian (but not pointwise Lipschitzian) mappings has also been investigated, see, e.g., Tan and Xu [9]. It is worthwhile mentioning the recent studies on the special case, when the parameter set for the semigroup is equal to \(\{0, 1, 2, 3, \ldots\}\), and \(T_{n} = T^{n}\), the nth iterate of an asymptotic pointwise nonexpansive mapping. Kirk and Xu [10] proved the existence of fixed points for asymptotic pointwise contractions and asymptotic pointwise nonexpansive mappings in Banach spaces, while Hussain and Khamsi [11] extended this result to metric spaces, and Khamsi and Kozlowski to modular function spaces [1, 2]. In the context of modular function spaces, Khamsi discussed in [12] the existence of nonlinear semigroups in Musielak-Orlicz spaces and considered some applications to differential equations.
2 Uniform convexity in metric spaces
Obviously, normed linear spaces are hyperbolic spaces. As nonlinear examples, one can consider the Hadamard manifolds [15], the Hilbert open unit ball equipped with the hyperbolic metric [16], and the \(\operatorname{CAT}(0)\) spaces [17–19] (see Example 2.1). We will say that a subset C of a hyperbolic metric space M is convex if \([x,y]\subset C\) whenever x, y are in C.
Definition 2.1
The definition of uniform convexity finds its origin in Banach spaces [20]. To the best of our knowledge, the first attempt to generalize this concept to metric spaces was made in [21]. The reader may also consult [14, 16, 22].
Most of the results in this section may be found in [22].
Remark 2.1
- (i)
Let us observe that \(\delta(r,0)=0\), and \(\delta(r,\varepsilon)\) is an increasing function of ε for every fixed r.
- (ii)For \(r_{1}\leq r_{2}\) there holds$$ 1- \frac{r_{2}}{r_{1}} \biggl(1-\delta \biggl(r_{2}, \varepsilon \frac {r_{1}}{r_{2}} \biggr) \biggr)\leq\delta(r_{1}, \varepsilon). $$
- (iii)
If \((M,d)\) is uniformly convex, then \((M,d)\) is strictly convex.
Lemma 2.1
Recall that a hyperbolic metric space \((M,d)\) is said to have the property (R) if any nonincreasing sequence of nonempty, convex, bounded and closed sets has a nonempty intersection [23].
Our next result deals with the existence and the uniqueness of the best approximants of convex, closed and bounded sets in a uniformly convex metric space. This result is of interest by itself as uniform convexity implies the property (R), which reduces to reflexivity in the linear case.
Theorem 2.1
The following result gives the analogue of the well-known theorem that states any uniformly convex Banach space is reflexive (see Theorem 2.1 in [16]).
Theorem 2.2
If \((M,d)\) is complete and uniformly convex, then \((M,d)\) has the property (R).
Note that any hyperbolic metric space M which satisfies the property (R) is complete.
Example 2.1
Let \((X,d)\) be a metric space. A geodesic from x to y in X is a mapping c from a closed interval \([ 0,l ] \subset\mathbb{R}\) to X such that \(c ( 0 ) =x\), \(c ( l ) =y\), and \(d ( c ( t ) ,c ( t^{\prime} ) ) =\vert t-t^{\prime }\vert \) for all \(t,t^{\prime}\in [ 0,l ] \). In particular, c is an isometry and \(d ( x,y ) =l\). The image α of c is called a geodesic (or metric) segment joining x and y. The space \(( X,d ) \) is said to be a geodesic space if every two points of X are joined by a geodesic and X is said to be uniquely geodesic if there is exactly one geodesic joining x and y for each \(x,y\in X\), which will be denoted by \([x,y]\) and called the segment joining x to y.
A geodesic triangle \(\Delta ( x_{1},x_{2},x_{3} ) \) in a geodesic metric space \(( X,d ) \) consists of three points \(x_{1}\), \(x_{2}\), \(x_{3}\) in X (the vertices of Δ) and a geodesic segment between each pair of vertices (the edges of Δ). A comparison triangle for geodesic triangle \(\Delta ( x_{1},x_{2},x_{3} ) \) in \(( X,d ) \) is a triangle \(\overline{\Delta} ( x_{1},x_{2},x_{3} ) :=\Delta ( \bar{x} _{1},\bar{x}_{2},\bar{x}_{3} ) \) in \(\mathbb{R}^{2}\) such that \(d_{ \mathbb{R}^{2}} ( \bar{x}_{i},\bar{x}_{j} ) =d ( x_{i},x_{j} ) \) for \(i,j\in \{ 1,2,3 \} \). Such a triangle always exists (see [24]).
A geodesic metric space is said to be a \(\operatorname{CAT} ( 0 ) \) space if all geodesic triangles of appropriate size satisfy the following \(\operatorname{CAT} ( 0 ) \) comparison axiom:
3 Common fixed points of nonexpansive semigroups
Recall the definition of a nonexpansive mapping defined in metric spaces.
Definition 3.1
This definition is now extended to a one-parameter family of mappings.
Definition 3.2
- (i)
\(T_{0}(x) = x\) for \(x \in C\);
- (ii)
\(T_{t+s}(x) = T_{t}(T_{s}(x))\) for \(x \in C\) and \(t,s \in[0,\infty)\);
- (iii)
for each \(t \geq0\), \(T_{t}\) is a nonexpansive mapping.
First let us extend Bruck’s result [6] to metric spaces.
Lemma 3.1
[6]
Let \((M,d)\) be a hyperbolic metric space. Assume that \((M,d)\) is strictly convex. Let C be a subset of M. Let S and T be nonexpansive mappings from C into M with a common fixed point. Then, for each \(\lambda\in(0, 1)\), the mapping \(U: C \rightarrow M\) defined by \(U(x) = \lambda S(x) \oplus(1 - \lambda)T(x)\) for \(x \in C\) is nonexpansive and \(\operatorname{Fix}(U) = \operatorname{Fix}(S) \cap \operatorname{Fix}(T)\) holds.
Proof
The next result concerns continuous semigroups.
Definition 3.3
The following result is easy to prove.
Proposition 3.1
Recall the following lemma which can be found in any introductory course on real analysis.
Lemma 3.2
[26]
The following result will be useful to prove our main result of this section.
Proposition 3.2
Proof
If we combine Propositions 3.1 and 3.2, we get the following result.
Theorem 3.1
[27]
If the metric space \((M,d)\) is hyperbolic strictly convex, Lemma 3.1 allows us to get the following result.
Theorem 3.2
4 Approximation of common fixed points of semigroups
In this section we use the previous results to investigate the behavior of Mann iterates generated by two mappings. These iterations will allow us to approximate common fixed points of a continuous semigroup.
Definition 4.1
The following technical lemmas will be useful throughout.
Lemma 4.1
Lemma 4.2
Let \((M,d)\) be a uniformly convex hyperbolic metric space. Let C be a nonempty, bounded, closed and convex subset of M. Let \(T:C\rightarrow C\) be nonexpansive, and let \(\sigma\in(0,1)\) and \({x_{n}}\) be given by (4.1). Assume that ω is a fixed point of T. Then the limit of \(\{d(x_{n},\omega)\}\) exists.
Proof
Let us recall the definition of the asymptotic radius of a sequence.
Definition 4.2
The set of all asymptotic centers of \(\{ x_{n} \} \) with respect to C will be denoted by \(A(C, \{ x_{n} \} )\). When \(C=M\), we use the notation \(A ( \{x_{n} \} ) \) instead of \(A (M, \{x_{n} \} ) \). In general, the set \(A(C, \{x_{n} \} )\) of asymptotic centers of a bounded sequence \(\{ x_{n} \} \) may be empty or contain more than one point. Note that the asymptotic radius is also known in the literature as a type function. For more on this we refer to [22].
Over the years many people were successful in defining the analogue of linear properties in metric spaces. The weak-topology is still hard to define in the context of metric spaces. An approach to weak-convergence was offered by Kuczumow [28] and Lim [8] which they called Δ-convergence. Their approach was very successful in the case of \(\operatorname{CAT}(0)\) spaces.
Definition 4.3
Let \((M,d)\) be a metric space. A bounded sequence \(\{x_{n}\}\) in M is said to Δ-converge to \(x\in M\) if and only if x is the unique asymptotic center of every subsequence \(\{u_{n}\}\) of \(\{x_{n}\}\). We write \(x_{n}\overset{\Delta}{\rightarrow} x\) whenever \(\{x_{n}\}\) Δ-converges to x.
In this section, we study the iteration scheme (4.1) for nonexpansive mappings. In particular, we investigate the Δ-convergence in uniformly convex hyperbolic spaces. Note that similar conclusions proved in Banach spaces require the Fréchet differentiability of the norm.
In the sequel, the following results will be needed.
Lemma 4.3
Let \((M,d)\) be a hyperbolic metric space. Assume that M is uniformly convex. Let C be a nonempty, closed and convex subset of M. Then every bounded sequence \(\{ x_{n} \} \in M\) has a unique asymptotic center with respect to C.
Lemma 4.4
Let \((M,d)\) be a hyperbolic metric space. Assume that M is uniformly convex. Let C be a nonempty, closed and convex subset of M. Let \(\{x_{n}\}\) be a bounded sequence in C such that \(A(\{x_{n}\})=\{y\}\) and \(r(\{x_{n}\} )=\rho\). If \(\{y_{m}\}\) is a sequence in C such that \(\lim_{m\rightarrow\infty} r(y_{m},\{x_{n}\})=\rho\), then \(\lim_{m\rightarrow\infty}y_{m}=y\).
The following result is similar to the demi-closed principle discovered by Göhde in uniformly convex Banach spaces [30].
Lemma 4.5
[29]
Let C be a nonempty, closed and convex subset of a complete uniformly convex hyperbolic space \((M,d)\). Let \(T:C\rightarrow C\) be a nonexpansive mapping. Let \(\{x_{n}\} \in C\) be an approximate fixed point sequence of T, i.e., \(\lim_{n\rightarrow\infty}d(x_{n},Tx_{n})=0\). If \(x \in C\) is the asymptotic center of \(\{x_{n}\}\) with respect to C, then x is a fixed point of T. In particular, if \(\{x_{n}\} \in C\) is an approximate fixed point sequence of T such that \(x_{n}\overset{\Delta}{\rightarrow} x\), then x is a fixed point of T.
The following theorem is necessary to discuss the behavior of the iterates defined by (4.1).
Theorem 4.1
[29]
Proof
Note that the assumption that T has a fixed point may be relaxed if we assume C is bounded (for more see [22]). Next we discuss the Δ-convergence of the Mann iterates defined by (4.1).
Theorem 4.2
Let \((M,d)\) be a complete hyperbolic metric space. Assume that M is uniformly convex. Let C be a nonempty, closed and convex subset of M. Let \(T:C\rightarrow C\) be a nonexpansive mapping with a nonempty fixed points set. Let \(\sigma\in(0,1)\), \(x_{1}\in C\) and generate \(\{x_{n}\}\) by (4.1). Then \(\{x_{n}\}\) Δ-converges to x which is a fixed point of T, i.e., \(x \in \operatorname{Fix}(T)\).
Proof
If we combine Theorem 3.2 and Theorem 4.2, we obtain the following result.
Theorem 4.3
Proof
Declarations
Acknowledgements
This work was funded by the Deanship of Scientific Research (DSR), King Abdulaziz University, Jeddah. The authors, therefore, acknowledge technical and financial support of KAU.
Open Access This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.
Authors’ Affiliations
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