Abstract
This paper proposes an iterative algorithm for the search for common fixed points of two mappings. The properties of approximation and convergence of the method are analyzed in the context of Banach spaces. In particular, this article provides sufficient conditions for the strong convergence of the sequence generated by the iterative scheme to a common fixed point of two operators. The method is illustrated with some examples of application. The procedure is used to approach a common solution of two Fredholm integral equations of the second kind. In the second part of the article, the existence of a fractal function coming from two different Read–Bajraktarević operators is proved. Afterwards, a study of the approximation of fixed points of a fractal convolution of operators is performed, in the framework of Lebesgue or Bochner spaces.
Keywords:
fixed point approximation; quasi-nonexpansive maps; fractal functions; fractal convolution; iterative methods Key Contribution:
Conceptualization, M.A.N.; methodology, M.A.N.; validation, M.A.N.; formal analysis, M.A.N.; writing---original draft preparation, M.A.N.; writing---review and editing, M.A.N.
1. Introduction
In this paper, we address the approximation of a common fixed point of a finite number of mappings through an iterative method, and its applications to the study of fractal functions involving two different operators. From a practical point of view, the problem of finding common fixed points of two mappings appears in mathematical applications such as convex optimization (see, for instance, [1]).
Das and Debata [2] extended the classical iteration proposed by Ishikawa [3] to find a critical point of a single operator, acting on a normed space, to the case of the approximation of a common fixed point of two maps S and T. The iterative scheme is the following:
for
They considered quasi-nonexpansive maps defined on uniformly convex Banach spaces. Takahashi and Tamura [4] studied the same method in the nonexpansive case on a strictly convex Banach space. Khan and Takahashi [5] generalized the procedure to deal with asymptotically nonexpansive operators.
In reference [6], Yadav proposed a variant of the iteration considered by Sahu [7] for a single map, in order to include two different mappings. The recurrence is given by the following steps:
for
This method was called Y-iteration by the author. He gave sufficient conditions on the space and the maps S and T in order to obtain weak and strong convergences of the sequence
to a common fixed point of both mappings, and presented some examples of the application of the algorithm.
The single operator case proves that not all the fixed point approximation methods are useful for all kind of mappings. The convergence of each procedure depends on the underlying space and the properties of the map involved. Thus, it is desirable to have a variety of algorithms to focus a given problem. We propose a different iterative method for the search for common fixed points of a finite family of quasi-nonexpansive mappings, based on an algorithm defined in [8].
One of the first results of common fixed point existence of a family of operators is due to Browder [9]:
Theorem 1.
Let X be a uniformly convex Banach space, and
be nonempty, bounded, closed and convex. If
is a commuting family of nonexpansive mappings
then the set
has a common fixed point.
The proof of this theorem is based on the well-known fixed point result of the same author for nonexpansive mappings on uniformly convex Banach spaces [9]. Theorem 1 is an extension of of the Markov–Kakutani Theorem [10,11]. It is also a generalization of the Theorem of De Marr [12], where C is assumed to be compact.
Afterwards, a great number of researchers expanded this result. For instance, R.E. Bruck [13] considered this problem in a Banach space X and
satisfying some fixed point conditions, given in the following definition.
Definition 1.
Let X be a Banach space; a subset
has the fixed point property for nonexpansive mappings if every nonexpansive map
has a fixed point. C has the conditional fixed point property for nonexpansive mappings if every nonexpansive mapping
satisfies either that f has no fixed points or that f has a fixed point in every nonempty bounded, closed and convex f-invariant subset ofC.
Example 1.
If X is a uniformly convex Banach space, any subset C that is nonempty, bounded, closed and convex has the fixed point property for nonexpansive mappings.
, where X is a uniformly convex Banach space, has the conditional fixed point property for nonexpansive mappings.
Both are consequences of Browder’s Theorem on the existence of fixed points (Theorem 1 of reference [9]).
Bruck’s Theorem [13] states that if X is a real or complex Banach space and
has the fixed point property and the conditional fixed point property for nonexpansive mappings, and C is either weakly compact or bounded and separable, then any commuting family of nonexpansive self-mappings of C has a common fixed point. This is a generalization of Browder’s common fixed point Theorem 1.
The existence of common fixed points of two maps was then historically linked to their commutativity. There was a conjecture stating that if two maps
are continuous and commute, they need to have a common fixed point. This hypothesis was refuted by Boyce [14] and Huneke [15]. However, the fact is true if some additional conditions are added on the underlying space X and the maps, as seen in Browder’s Thereom.
It is clear that commutativity and continuity are not necessary conditions for the existence of common fixed points, and current research on the topic tries to remove both conditions (see, for instance, [16,17]). A discussion and bibliography on this subject can be found in reference [18].
We avoid in this article the problem of the existence of common fixed points (except in the definition of fractal functions of Section 5), and focus on their search in case of existence. We give sufficient conditions on the space and the maps for the strong convergence of a new procedure to approximate a common fixed point of the mappings S and T (Section 2 and Section 3). Through two examples, the algorithm is illustrated in the cases of the approximation of a commom fixed point of two real maps and the search for a common solution of two integral equations of Fredholm type (Section 4).
In a subsequent section we give conditions for the existence of a common fractal function coming from two different Read–Bajraktarević operators (Section 5). Finally, we consider an application to the approximation of fixed points of the fractal convolution of two operators by means of the algorithm proposed (Section 6).
2. An Algorithm for the Approximation of Common Fixed Points of Quasi-Nonexpansive Operators
In this section, we propose an algorithm for the approximation of a common fixed point of two mappings. We start with a normed space X and two operators
, where
is nonempty, closed and convex. The algorithm to find a simultaneous critical point of S and T is given by the following iterative scheme:
where
for
and
This method will be called common N-iteration, and it generalizes the N-iteration proposed in [8] for a single map. Throughout the paper,
and
will denote the set of fixed points of S and T, respectively. We propose the following definitions.
Definition 2.
A sequence
has the common limit existence property (CLE) with respect to S and T if
for any
, provided that
Remark 1.
This definition can be generalized to a finite number of mappings (
).
Definition 3.
A sequence
has the approximate fixed point property (AF) with respect to S if
Definition 4.
Let X be a normed space. A map
is quasi-nonexpansive if
and
for any
and
Proposition 1.
Let X be a normed space and
be nonempty, closed and convex. Let
be two quasi-nonexpansive operators such that
. The common N-iteration has the CLE property; that is to say, for
defined as in (5), (6) and (7),
for any
and any
Proof.
Let
and
According to (5),
In the same way, using (6),
Finally,
Consequently, the sequence
is non-increasing and bounded and thus
exists and it is real. □
The next lemma can be consulted in reference [19].
Lemma 1.
Let X be a uniformly convex Banach space, and let a sequence
be such that there exist
satisfying the condition
for all
Let
,
be sequences of X such that
,
, and
for some
Then,
Theorem 2.
Let X be a uniformly convex Banach space and
be nonempty, closed and convex. If
are two quasi-nonexpansive operators such that
and
then
- The sequences , and defined in (5), (6) and (7) have the CLE property.
- has the AF property with respect to S and has the AF property with respect to T.
Proof.
Let
By the previous proposition,
exists and it is real. According to (10),
and
Using Lemma 1 and the following equality
we have that
Hence,
has the AF property with respect to T. Again, by the third step of the algorithm,
Then,
By (12) and (14),
Let us consider now that
Then,
Consequently,
By (9),
and hence
Consequently, the sequences
,
and
have the CLE property, with the same limit:
for
The quasi-nonexpansiveness of S implies that
The equality
along with the inequality
imply, by Lemma 1, that
and
has the AF property with respect to
□
According to Proposition 1 and Theorem 2, the approximation properties of the common N-iteration are true also for the two-step common N-iteration, given by the following recurrence:
where
and
(taking
for all n in (6)).
This iterative scheme can be generalized to a finite number of operators with common fixed points, in order to provide the following m-step common fixed point N-algorithm for the mappings
such that
:
where
for all
,
and
3. Convergence Theorems for the Common N-Iteration
Throughout this section, we will assume a normed space X,
and
such that
We will consider the common N-iteration given by (5), (6) and (7) with the conditions for
and
given in Theorem 2.
Remark 2.
The notation
will represent the identity operator.
Theorem 3.
Let X be a uniformly convex Banach space and
be compact and convex. If
are quasi-nonexpansive and closed, then the common N-iteration described converges strongly to a common fixed point of S and
.
Proof.
Since C is compact, the sequence
of the iteration has a convergent subsequence. Let
Since
has the AF property with respect to T, then
tends to zero. Since
is closed, then
, and
According to the third step of the algorithm,
Consequently,
.
Since
is closed and
has the AF property with respect to S, then
and
The CLE property of
implies that
□
Corollary 1.
Let X be a uniformly convex Banach space, and let
be compact andconvex. If
are nonexpansive, then the common N-iteration described converges strongly to a common fixed point of S and
Proof.
A nonexpansive mapping with a fixed point is quasi-nonexpansive and continuous, and we have the hypotheses of Theorem 3. □
Definition 5.
Let X be a normed space. A mapping
, such that there exists
satisfying for any
the following inequality
is a nonexpansive partial contractivity.
For
, we have a nonexpansive mapping.
Corollary 2.
Let X be a uniformly convex Banach space, and let
be compact andconvex. If
are closed nonexpansive partial contractivities, then the common N-iteration described converges strongly to a common fixed point of S and
Proof.
A nonexpansive partial contractivity with a fixed point is quasi-nonexpansive, and we are in the conditions of Theorem 3. □
Definition 6.
Let X be a normed space, and
. A map
is demicompact if a bounded sequence
, such that
is convergent, has a convergent subsequence. If a sequence
, such that
is convergent to zero, has a convergent subsequence
, then T is demicompact at zero.
Remark 3.
According to this definition, if T is demicompact at zero,
is bounded and it has the AF property with respect to T, then there exists a convergent subsequence
Proposition 2.
Let X be a uniformly convex Banach space, and let
be closed andconvex. If
are quasi-nonexpansive and closed, and T is demicompact at zero, then the common N-iteration described converges strongly to a common fixed point of S and
Proof.
The CLE property of
implies that the sequence
is bounded. The AF property of
with respect to T implies that
tends to zero. As T is demicompact, there is a convergent subsequence
. Let
. Then,
Since T is closed, then
, and
Regarding
, according to the last step of the algorithm,
As
tends to zero due to the AF property of
and
is closed, then
and
The CLE property of
implies that the common N-iteration converges strongly to
for any
□
Corollary 3.
Let X be a uniformly convex Banach space, and let
be closed and convex. If
are nonexpansive and T is demicompact at zero, then the common N-iteration described converges strongly to a common fixed point of S and
Corollary 4.
Let X be a uniformly convex Banach space, and let
be closed andconvex. If
are closed nonexpansive partial contractivities and T is demicompact at zero, then the common N-iteration described converges strongly to a common fixed point of S and
Definition 7.
Let
be Banach spaces. Then,
is demiclosed (at
) if
and
imply that
Remark 4.
The symbol ⇀ denotes the weak convergence of a sequence.
The following demiclosedness principle for nonexpansive mappings can be consulted in reference [20], Theorem 10.4:
Theorem 4.
Let X be a uniformly convex Banach space, C a nonempty, closed and convex subset of X and
a nonexpansive mapping. Then,
is demiclosed on C.
Definition 8.
Let
be Banach spaces. Then,
is completely continuous if
implies that
Remark 5.
A completely continuous mapping is demiclosed.
Proposition 3.
Let X be a uniformly convex Banach space, and let
be bounded, closed and convex. If
are nonexpansive and T is completely continuous, then the common N-iteration described converges strongly to a common fixed point of S and
Proof.
Since C is bounded, closed and convex in a uniformly convex space, there exists a weakly convergent subsequence
of
. That is to say,
The AF property of
with respect to T implies that
tends to zero. According to Theorem 4,
is demiclosed and this implies that
, that is to say,
Since T is completely continuous,
. Then,
Since
tends to zero due to the AF property of
with respect to S, and
is continuous, then
and
The CLE property of
implies its convergence to
□
Remark 6.
All the results obtained in this section are applicable to the case
, and the usual N-algorithm for a single map defined in reference [8].
4. Some Applications of the Common N-Iteration
In this section, we present two examples of the application of the common N-iteration.
4.1. Approximation of a Common Fixed Point of Two Mappings
The maps
given by
and
have a common fixed point at
The common N-iteration with all the scalars equal to
has been used to approach this point. Namely, we have computed the successive values of
by means of the iterative scheme:
The abscissas
and
have been chosen as starting points of two performances of the algorithm. The subsequent errors, computed as
are collected in Table 1. The left part gathers the errors for
and the right part displays the case
Table 1.
Approximation errors of the first values given by the N-algorithm for a common fixed point of two maps starting at
(left) and
(right).
4.2. Search for a Common Solution of Two Fredholm Integral Equations of the Second Kind
Let us consider the following integral equations of Fredholm type:
where we look for a common solution in
. This problem is equivalent to the search for a common fixed point of the operators
defined as
It is well known that if K and
are such that
, where
, then the operators S and T are linear and compact and consequently demicompact. They are nonexpansive if
The following integral equations:
have a common exact solution at
Let us apply the two-step common N-algorithm (
), and let us choose
for all
Thus, the N-iteration is given by the following scheme:
Let the starting function be
The error of every approximation is computed as
where
is the exact solution. Table 2 collects the errors from the first to the twentieth iteration. Figure 1 represents the exact common solution (in yellow) along with the first, fourth, seventh and tenth approximations, respectively (in blue).
Table 2.
Errors of the first twenty approximations given by the two-step N-algorithm for a common solution of two Fredholm integral equations.
Figure 1.
From upper left to bottom right, exact solution (yellow) along with the first, fourth, seventh and tenth approximations (
) (blue).
5. Fractal Functions as Common Fixed Points of Two Different Operators
In this section, we find a fractal function as a common fixed point of two different Read–Bajraktarević operators.
According to the formalism of these mappings, we consider a compact real interval
, and a partition of it
Let us consider
, for
and
and define
such that
and
Let
be mappings on the space
, that is to say,
, and let us assume that
Let us define the operators of Read–Bajraktarević type
given by
for
The next result gives sufficient conditions for the existence of a fractal function as a common fixed point of S and T. Let
denote the norm of the space
for
Theorem 5.
Let the operators
meet the following conditions for
:
- 1.
- There exists satisfying and for any such that
- 2.
- and are nonexpansive.
- 3.
- where is the indicator map of or, equivalently, where for
Proof.
The Hypothesis (1) of the theorem enables the restriction of the domain and codomain of the operators S and T to the closed ball with a center in the null function
and radius
since
for
Thus, S and T can be defined from and onto the bounded, closed and convex subset
of the uniformly convex Banach space
. It is easy to check that S and T are nonexpansive, since
and
due to conditions (24). Moreover,
and
where
and
where
The last two equations are equal due to the Hypothesis (3) of the theorem, and, consequently,
Then, we have the hypotheses of Browder’s Theorem 1 for
, and S and T have a common fixed point
□
Example 2.
The operators defined as
,
for
and
for
satisfy the hypotheses required.
6. Fixed Points of the Fractal Convolution of Several Types of Operators
In this section, we consider a special type of operators defined in (26),
for
and
where
and
are constant and such that
for
In this case, the operator T is a contraction since
for any
and
Then, T has a fixed point, usually denoted as
, called
-fractal function in previous papers (see, for instance, [21] for the two-dimensional case). In other articles (see, for instance, [22]),
has been considered as the result of a binary internal operation in
, that is to say,
The operation ∗ has been called “fractal convolution”. This operation has useful properties such as idempotency, namely,
for any
Other features of the fractal convolution can be consulted in reference [22]. From this background, we have also defined a fractal convolution between operators on the same space defined, for
, as
for
The fractal convolution of operators also has the property of idempotency, that is to say,
A straightforward consequence of this characteristic is that, if
and
are the sets of fixed points of V and
respectively, then
Namely, a common fixed point of V and W is a fixed point of
In the following, we assume that V and W are such that
and
where
or
where
denotes the Bochner space of p-integrable maps
, with B being a uniformly convex Banach space.
Let us consider
and
For the common N-iteration algorithm, we will assume the following conditions on the scalars:
and
The results obtained in previous sections for the common fixed points of two mappings and their approximation are applicable to the search for fixed points of
A summary of these results, applied to
, is the following:
- If C is compact and convex and are quasi-nonexpansive and closed, then the common N-iteration converges strongly to a fixed point of
- If C is compact and convex and are nonexpansive, then the common N-iteration converges strongly to a fixed point of
- If C is compact and convex and are closed nonexpansive partial contractivities, then the common N-iteration converges strongly to a fixed point of
- If C is closed and convex, are quasi-nonexpansive and closed and W is demicompact at zero, then the common N-iteration converges strongly to a fixed point of
- If C is closed and convex, are nonexpansive and W is demicompact at zero, then the common N-iteration converges strongly to a fixed point of
- If C is closed and convex, are closed nonexpansive partial contractivities and W is demicompact at zero, then the common N-iteration converges strongly to a fixed point of
- If C is bounded, closed and convex, are nonexpansive and W is completely continuous, then the common N-iteration converges strongly to a fixed point of
7. Conclusions
This article presents an iterative method to find common fixed points of two maps
where C is a nonempty, closed and convex subset of a normed space X. The recurrence is called common N-iteration, and it is given by the recurrence:
for
and
It has been proved that
,
and
have the CLE property,
has the AF property with respect to S, and
has the AF property with respect to T. This article provides sufficient conditions on X, C and the maps S and T for the strong convergence of the algorithm to a common fixed point of S and T, in case of existence.
The procedure has been applied to the approximation of a common fixed point of two maps defined in the interval
and a common solution of two Fredholm integral equations of the second kind.
This paper has proved the existence of a fractal function that is a common fixed point of two different nonexpansive Read–Bajraktarević operators defined on
or
In the last section, the article gives sufficient conditions for the convergence of the algorithm to a fixed point of a fractal convolution of operators
, where
or
In both cases, the range of values of p is
Funding
This research received no external funding.
Data Availability Statement
The original contributions presented in this study are included in the article. Further inquiries can be directed to the corresponding author.
Conflicts of Interest
The authors declare no conflicts of interest.
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