1. Introduction
Contractive cyclic self-mappings have been widely studied in recent years in metric and in Banach spaces. See, for instance [
1,
2,
3,
4,
5,
6,
7] and some of the references therein. If a pair of subsets has a proximal normal structure and a relative non-expansive mapping
on
satisfies
and
, where
and
are weakly compact and convex subsets of the Banach space
, then the existence of some proximal point
such that
is proved [
7]. Also, cyclic
-contractions have been considered in [
8] on partially ordered and orbitally complete metric spaces while the existence of best proximity points for cyclic mappings in multiplicative metric spaces has been focused on in [
9], and also in [
10,
11,
12] for b-metric and b-metric-like spaces. On the other hand, certain links between cyclic contractions and Hardy–Rogers contractions were addressed in [
13], while some proximity concerns were discussed in [
14] within the framework of Busemann convex metric spaces. In [
15], and, respectively, References [
16,
17], a special type of semi-cyclic mapping, under a special contractive constraint, as well as best proximity results related to S-cyclic mappings, were obtained. The concepts of approximative compactness and bounded compactness which guarantee the non-emptiness of the sets of best proximity points of non-empty subsets
and
of a metric space have been discussed, for instance, in [
1,
18,
19].
It can be mentioned that cyclic contractions involving a set of subsets of a metric space can be an appropriate framework to investigate the stabilization under eventual switching actions between different model parameterizations and/or dynamics characterizations in those continuous-time and discrete-time dynamic systems which can exhibit different modes of operation [
20,
21,
22,
23,
24]. The usefulness of this framework is supported by the fact that each of the corresponding system configurations could be described by one of the subsets of the cyclic disposal and could also be adapted to the case of positive dynamic systems [
25,
26,
27,
28] under similar circumstances. Furthermore, in [
28], cyclic contractions are eventually addressed as part of mixed iterative processes in conjunction with strict contractions, defined by alternative self-mappings that operate within the individual subsets of the cyclic disposal.
On the other hand, the so-called enriched-type contractions are defined by some extra parameters apart from the contractive constants and, in general, the typical properties of contractions such as boundedness and convergence of distances and existence of fixed points are achievable under less stringent conditions. The existing background literature on those classes of contractions is abundant. In particular, in [
29], some general results which extend the Banach contraction mapping principle from metric spaces are obtained while other corresponding results for enriched mappings defined on Banach spaces are obtained as well. In [
30], it is shown that any of the enriched contractions within a large class of defined contractive mappings have a unique fixed point and that this fixed point can be approximated by means of an appropriate Krasnoselskij iterative scheme. Such a class includes, amongst other contractive type mappings, Picard–Banach contractions and some non-expansive mappings. In [
31], Chatterjea-enriched contractions were introduced and fixed point theorems were proved. Also, a convergence theorem was given for the Kasnoselskij iteration which approximates the fixed points of Chatterjea-enriched mappings in Banach spaces. In [
32], enriched Ćirić–Reich–Rus contractions in Banach spaces and in convex metric spaces are focused on and fixed point theorems are derived. On the other hand, enriched Ćirić quasi-contractions in Banach spaces and in convex metric spaces were discussed in [
33] and some related fixed point theorems are proved. Also, an interpolative enriched cyclic Kannan-type contraction has been defined in [
34] in a Banach space, while the existence and uniqueness of the fixed point of such a mapping were proved. In [
35], a new approach of enriched contractions and enriched non-expansive mappings were given which permits in a novel way the use of Mann iteration related to Kasnoselskij iteration. On the other hand, in [
36,
37], fixed point theorems for enriched Kannan mappings in CAT(0) spaces and, respectively, enriched rational-type contractions in both quasi-Banach spaces and also in generalized convex b-metric spaces have been addressed. In [
38], a convergence theorem for cyclic contractions based on the Krasnoselskij iteration was proved while also determining “a priori” and “a posteriori” error estimates. In [
39], a generalized cyclic contraction has been defined in Banach spaces and a related fixed point theorem was proved. Furthermore, a novel iterated function system of the generalized enriched cyclic contractions was presented. Finally, monotone-enriched non-expansive mappings for the approximation of fixed points in ordered CAT(0) spaces have been studied in [
40] while, in [
41], the equivalence of some iterative schemes in Banach spaces, related to the average operator, was demonstrated for enriched contractions and for enriched asymptotically non-expansive maps.
In order to contextualize this research, it can be pointed out that the enriched contractive conditions often relax those required in classical contractions. Therefore, it is of interest to study enriched contractions associated with cyclic mappings. A central problem to be addressed in the current research is the study of the properties of boundedness and convergence of sequences. Related problems are essential and common in certain semi-analytical and numerical-based iterative procedures used to solve non-linear differential equations [
42,
43], and some of the references therein. Methods which have been used for that purpose are, for instance, the Variational Iteration Method, the Homotopy Perturbation Method and the Point Solution Method. In this context, the so-called Variational Iteration Method is applied to solve non-linear problems whose main objective is to prove the convergence properties of the iterations. Its application fields are multiple as, for instance, non-linear wave equations, non-linear fractional calculus or non-linear oscillations among others. It can be pointed out that this method constructs approximate solutions by means of appropriate corrections functionals involving the use of Lagrange multipliers and it requires a moderate computational effort. On the other hand, the so-called Homotopy Perturbation Method is a semi-analytical technique which is used as well to solve non-linear differential equations. It combines the known concept of homotopy with perturbation methodology with the purpose of finding approximate series solutions and it is computationally implemented in practice with recursion methods. Also, the classical Point Solution Method consists of finding a particular solution from the general one by replacing the arbitrary constants of the general solution by those which fix the solution to the data of a particular point, usually, the initial condition. The numerical implementation of this methodology usually implies also the involvement of approximative iterative methods.
This paper deals with several types of enriched cyclic contractions which are defined in the union of a finite set of non-empty closed subsets of normed spaces or metric spaces with cardinality at least two. Those enriched cyclic contractions are, in general, subject to weaker conditions on the self-mappings compared to those involving cyclic contractions. The convergence of distances is investigated as well as that of sequences generated by the considered enriched cyclic mappings. It is proved that, both in normed spaces and in simple metric spaces, the distances of sequences of points in adjacent subsets converge to the distance between such subsets. Also, if the metric space is a uniformly convex Banach space and one of the involved subsets is convex then all the sequences between adjacent subsets converge to a unique set of best proximity points, one of them within each subset. This set of convergence points constitutes a limit cycle to which all the sequences converge from any initial conditions. However, such best proximity points are not necessarily unique in all the subsets of the cyclic disposal. It should be noticed that, in fact, the subsets of the cyclic disposal are not required to be either boundedly compact or approximatively compact.
The rest of the paper is organized as follows.
Section 2 provides some definitions on enriched cyclic contractions whose relevance for results is formally discussed later on. In particular, the various enriched cyclic contractions, which are defined as operating on
non-empty and closed subsets, are the so-called:
(a) the -enriched -cyclic contraction; (b) its weak version (both in normed spaces); and (c) the modified -enriched -cyclic contraction, and (d) the - -cyclic contraction in the wide sense (both in metric spaces).
Then, the boundedness of the sequences generated for any initial condition in the union of the subsets of the cyclic disposal and the related convergence of distances to the distance in-between adjacent subsets are proved in the same section under certain not very strong constraints on the parameters which define the enriched cyclic contractions.
Section 3 considers that the normed or metric spaces are, in addition, uniformly convex Banach spaces and that one of the subsets of the cyclic disposal is convex and closed while the others are just closed. It has been proved that all the sequences converge to a fixed set of best proximity points, one of them within each of the subsets, for any given initial conditions in the union of the subsets irrespective of the best proximity sets being all unique or not. In this sense, all the sequences under arbitrary initial points in the union of all the subsets converge to a limit cycle formed by one best proximity point per subset. Finally, conclusions end the paper.
2. Convergence of Distances in Some Classes of Enriched Cyclic Contractions and Cyclic Contractions in the Wide Sense
Let
be a normed space and let
be the norm-induced metric
such the
-cyclic self-mapping
on
, that is,
;
, where
are non-empty closed sets with
where
with
, being a
-enriched
-cyclic contraction which satisfies the following condition for some
:
for any
, any
and some real constant
. Note that the above condition implies the weaker one:
but the converse is not true, in general.
Definition 1. Let be a normed space. A -cyclic self-mapping on , where are non-empty closed subsets of with ; , is said to be a -enriched -cyclic contraction if it satisfies the following condition:for any , any , any , some and some real constant .
Definition 2. Let be a normed space. A -cyclic self-mapping on is said to be a weak -enriched -cyclic contraction if the condition (3) of Definition 1 is replaced with the weaker one:for any , any .
Note that if the self-mapping on is an enriched -cyclic contraction then it is also a weak enriched -cyclic contraction since .
Lemma 1. Consider the normed space and let be the norm-induced metric such the -cyclic self-mapping on satisfies the weak -enriched -cyclic contraction condition (4) for any , any and any , where ; are non-empty closed subsets of . Then, the following properties hold:
- (i)
Assume that for some finite is sufficiently small. Then, is bounded for any finite . Also, is bounded for any given .
- (ii)
if for some and that is sufficiently small such that . Also, is bounded for any given .
- (iii)
Assume that and that Property (ii) holds, and define by . Then, .
- (iv)
Assume that ; for some real sequence and some . Then, there exists the limit .
- (v)
If the self-mapping on is a -enriched -cyclic contraction (Definition 1) then Properties [(i)–(iv)] hold.
Proof. Consider the norm-induced metric
. Then,
Let
be arbitrarily fixed and let
be such that
. Then,
if
, that is, if
. It follows by complete induction that
provided that
. Now, it is proved that
is bounded for any
. Proceed by contradiction by assuming that
is unbounded for some
while
has been proved to be bounded for any
and any
. Take
for some
such that, for any given
, there exists some
such that, since
is unbounded,
with
. The constant
might be chosen to be dependent on
, if suited. Assume that, in accordance with the smallness constraint of Property (ii)
and define
. Then, one has
so that the subsequent inequalities hold:
then
. However, this constraint contradicts the choice
. As a result,
is bounded for any
and, from the contraction condition, the sequences
for
cannot be unbounded either. This also implies that
is bounded for any
under the smallness constraint of the enrichment condition of Property (ii). The parallel proof under the more general smallness constraint for sufficiently large iteration steps is similar by taking the initialization of sequences after the finite step where the corresponding parallel smallness condition holds. Properties [(i) and (ii)] have been proved. Now, to prove Property (ii) note that
since
. Thus, we have
and
Property (iii) has been proved. To prove Property (iv), note that if
, then Property (iv) follows, since
Property (v) is obvious, since if is a -enriched -cyclic contraction (then it is also a weak -enriched -cyclic contraction. □
Example 1. Assume that is a linear operator on a normed space and let be the norm-induced metric for any and any , where for are non-empty closed subsets of which intersect. Assume that the restriction of to is, in addition, a -enriched -cyclic contraction, that is,for any , any , and for some real constant . Take for each ; . Then, if is the identity operator on , we have the following:which holds for any , then also for any , if , which is guaranteed if .
Proposition 1. In Example 1, the following properties hold:
- (i)
The linear operator is one-to-one and it has a closed range if and only if , the minimum modulus of , is positive, that is, if and only if . Furthermore, if is invertible then .
- (ii)
The linear operator is one-to-one and of closed range if and only if . If it is furthermore invertible, then and, if is invertible with then .
- (iii)
If Property (ii) holds, then .
- (iv)
Assume that, for some , for . Then, as for any finite .
Proof. Property (i) follows from [
44] (Lemma 2.5.2). See also [
45]. Property (ii) follows from Property (i) and Banach’s perturbation lemma [
46,
47,
48], since
Property (iii) follows from Property (ii) since is invertible and is an invertible -enriched -cyclic contraction with contractive constant and so that .
Since .
Property (iv) follows, since if
,
, …,
for
. Equivalently,
, which is also equivalent to
since
is bounded from the condition
and the fact that
as
. Then, by using recursion in (10), one gets the following:
and the property follows. □
Retake a modified Definition 1 for a metric space, which is not necessarily a normed space, by taking into account the signs or null value of the elements of the sequence and their eventual fixed upper bounds as follows.
Definition 3. Let be a metric space. A -cyclic self-mapping on , where are
non-empty closed subsets of , is said to be a modified -enriched -cyclic contraction if it satisfies the following condition:for any , any , some sequence and some real constant .
Note the following for any , any ; :
- (a)
- (b)
If
then we reach a similar contractive result as the above one, since
, so that
Note that by defining
with
, we get the following:
Lemma 2. Let be a metric space and assume that a -cyclic self-mapping on , where are non-empty closed subsets of , is a modified -enriched -cyclic contraction which satisfies the condition (13) such that there exists , where ; , and some and the sequence satisfies the condition ; , for any . Then, one has the following properties:
(i)and if, in addition, the sequence is such that it exists then .
(ii) The sequence is bounded for any given .
Proof. The proof of Property (i) is direct from (16). To prove Property (ii), we proceed by contradiction arguments. Assume that, for some
,
is unbounded so that there is some strictly increasing sequence
for some strictly increasing sequence of non-negative integers
so that
. Then, we have from (16) that
for some strictly increasing positive integer sequences
and
such that
then,
and, by taking
,
with
, it follows, under the conditions of Property (i), that
and
, and from the previous claimed assumption that
to establish a contradiction, one gets
. Then, the contradiction
follows by taking limits in (19) and Property (i) if
is unbounded. As a result,
is bounded for any given
and Property (ii) is proved. □
Remark 1. Note in Lemma 2 that if .
Remark 2. The condition in Lemma 2 is achievable with changes of sign in the sequence under “ad hoc
” extra conditions for the limits of some of its convergent subsequences. For instance, such a condition holds ifor, if Definition 4. Let be a metric space and let be a set of non-empty closed subsets of . Then, a -cyclic self-mapping on is said to be a - -cyclic contraction in the wide sense if it satisfies the following conditions for some :
(C.1)for any given and any .
(C.2) for some finite .
(C.3) There is a strictly increasing sequence for some finite such that and, for some real constant , .
Remark 3. Note that, compared to Definition 3, related to a modified -enriched -cyclic contraction, now it is not required via Definition 4 that if for any while it is not required that , either. However, it is required for the cyclic mapping to be globally contractive over a set of steps, which is addressed through the condition C.3, but it is not necessarily required for the mapping to be step by step contractive.
Lemma 3. Let be a metric space and consider a -cyclic self-mapping on , where are non-empty closed subsets of , which is a - -cyclic contraction in the wide sense. Then, . Also, the sequence is bounded for any given .
Proof. Note from Definition 3 that for any
for any given
and for any
:
From Definition 4 (C.3),
as
. Then,
as
. On the other hand, this also implies from (20) and (21) that,
so that it exists the limit
. Proceed by complete induction by assuming that
for all
and a given
. Then, from (22), one gets
which implies that
so that there exists the limit
for any
as claimed. On the other hand, the boundedness of the sequence
for any given
is proved under similar arguments as those used in the proof of Lemma 2(ii). □
Note that the condition C.3 holds, in particular, if for all and some and, if for some real constant , . Note also that, in this case, if and then the self-mapping on is a -cyclic contraction since ; .
Remark 4. It is now seen that - -cyclic contractions in the wide sense are non-expansive while modified and weak enriched cyclic contractions can be locally expansive.
If on is a - -cyclic contraction in the wide sense then it is always non-expansive as it is seen as follows. Assume that this is not the case so that it is expansive, then for some and some , there is a pair such that . Then, one has from (17) thatwhich implies that so that , a contradiction. Now, if on is a modified -enriched -cyclic contraction which could be potentially expansive, then we have from (13) and (14) that, for some and some , there is a pair such thatif . However, it is admitted also for to take non-negative values in Definition 3 fulfilling , see (14). As a conclusion, a modified -enriched -cyclic contraction is non-expansive although it could be locally expansive if .
On the other hand, it follows from (4) in Definition 2 that if is a weak -enriched -cyclic contraction, then it can be locally expansive as it might be deduced under a similar reasoning.
3. Best Proximity Points and Convergence of Sequences in Uniformly Convex Banach Spaces
The above section has addressed the convergence of distances to the distances between adjacent closed subsets in normed or metric spaces as well as the boundedness of sequences generated by several types on enriched cyclic contractions. The number of adjacent subsets in the cyclic disposal can be equal or greater than two and it is not assumed that such subsets are bounded. Some further results are formulated in this section if the considered metric spaces are uniformly convex Banach spaces under possible convexity of some of the subsets in the cyclic disposal.
Two essential concepts which are referred to in the sequel are that of best proximity point and that of uniformly convex Banach space that we now describe succinctly and with some intuitive subtract to fix the main following ideas and obtained results.
If two non-empty subsets of a metric space have disjoint closures, then best proximity points are the pairs of points, one located in the closure of each subset, that are as close to each other as possible. Those points are located, in particular, in the respective mentioned subsets if such subsets are closed. If the subsets are closed and, furthermore, intersect, then the best proximity points are at zero distance, so that they are coincident and they can be fixed points of certain mappings defined on such subsets like, for instance, contractive self-mappings or contractive cyclic self-mappings.
On the other hand, a real normed space (X, ‖·‖) is said to be strictly convex if, for all x, y ∈ X, with ‖x‖ = 1,‖y‖ = 1 and x ≠ y, ‖x + y‖2 < 1. The space (X, ‖·‖) is said to be uniformly convex, or uniformly rotund, if for each ϵ > 0 there exists δ > 0 such that, for all x, y ∈ X with ‖x‖ ≤ 1, ‖y‖ ≤ 1 and ‖x − y‖ ≥ ϵ, ‖x + y‖/2 ≤ 1 − δ holds. In addition, if (X, ‖·‖) is a Banach space then it is said to be a uniformly convex Banach space. It holds that every uniformly convex Banach space is strictly convex and reflexive, but the converses are not true, in general. Intuitively, in a uniformly convex Banach space, every sequence of points that are uniformly close to the boundary of the unit ball has a midpoint that is close to the interior of the ball.
The above explanations immediately lead to the conclusion that best proximity points may exist either in simple metric spaces or in more sophisticated spaces like normed spaces or uniformly convex Banach spaces.
The essential part of the next result is concerned with weak -enriched -cyclic contractions in the case when the metric space is a uniformly convex Banach space and, at least one of the subsets of the cyclic disposal is closed and convex while the other ones are just supposed to be closed.
Lemma 4. Let for be non-empty closed subsets of a uniformly convex Banach space , such that is convex for some . Then, the following properties hold:
- (i)
Let and be sequences in and be a sequence in such that as and that, for each positive real constant , there exists such that ; . Then, there exists such that ; .
- (ii)
Let and be sequences in and be a sequence in such that and as . Then, as .
- (iii)
Let the self-mapping on be a weak -enriched -cyclic contraction which satisfies (4) under the condition of Lemma 1(iv). Let and be sequences in and be a sequence in such that , , (or ) for any given and any . Then, as for any .
- (iv)
Under the conditions of Property (iii), ; , .
- (v)
Properties (iii) and (iv) also hold if .
- (vi)
If the self-mapping on is a -enriched -cyclic contraction (Definition 1) then Properties [(iv) and (v)] hold as well.
Proof. Property (i) and Property (ii) follow, respectively, as direct extensions of Lemma 3.7 and Lemma 3.8 of [
1], since
is convex and closed and
is closed and
is a uniformly convex Banach space. To prove Property (iii), note that, from Lemma 1(iv),
and
as
for any
and any
. This implies, from Property (ii), that
as
for any
since
is convex and
is closed. Property (iii) has been proved.
Now, note from (4) that, since
for any
and any
, we have
Then, all the composed self-mappings for are Lipschitz-continuous, with Lipschitz constant , then they are continuous as well. As a result, by taking , the weak -enriched -cyclic contraction is an everywhere continuous mapping in its definition domain. Now, since as for any from Property (iii) and since are everywhere continuous for , then ; , , which proves Property (iv). Property (v) follows directly from Properties (iii) and (iv) since, if then, it is obvious that and for some , since all the subsets for are closed, so that, the conclusions from those proofs are identical by replacing if and if ; and if and if .
Property (v) follows directly from Properties (iii) and (iv) and Lemma 1(v). □
In the same way, we have the following result if the mapping on is a modified -enriched -cyclic contraction in a uniformly convex Banach space:
Lemma 5. Let for be non-empty closed subsets of a uniformly convex Banach space , such that is convex for some and let the self-mapping on be a modified -enriched -cyclic contraction which satisfies (13) subject to the following:
- (1)
There exists , where ; , and some and the sequence satisfies the condition ; , for any ; and
- (2)
The sequence is such that it exists .
Then, the following properties hold:
- (i)
Let and be sequences in and be a sequence in such that , , (or ) for any given and any . Then, as for any .
- (ii)
Under the conditions of Property (i), ; , .
- (iii)
Properties (i) and (ii) also hold for any .
Proof. Firstly, it follows from Lemma 2(ii) that and as for any and any . This implies, from Lemma 4(ii), that as for any since is convex and is closed and Property (i) follows. From (14) and (15), it follows that the self-mapping on is Lipschitz-continuous, and then everywhere continuous, then, taking into account Property (i) ; , , which proves Property (ii). Finally, the proof of Property (iii) is similar to that of Lemma 4(v). □
A similar result can be directly established for a --cyclic contraction in the wide sense, which is now given without proof, since it is closed to that of Lemma 5.
Lemma 6. Let for be non-empty closed subsets of a uniformly convex Banach space , such that is convex for some and let the self-mapping on be a -cyclic self-mapping on which is a --cyclic contraction in the wide sense, that is, it satisfies the conditions (C.1)–(C.3) of Definition 4 for the norm-induced metric.
Then, the following properties hold:
- (i)
Let and be sequences in and be a sequence in such that , , (or ) for any given and any . Then, as for any .
- (ii)
Under the conditions of Property (i), ; , .
- (iii)
Properties (i) and (ii) also hold for any .
The result ; , as for any initialized in each of the subsets of the cyclical disposal, for any sequences and initialized within any of the subsets, obtained in Lemma 4(iii), Lemma 5(i), and Lemma 6(ii) concludes the following. If the metric space is a uniformly convex Banach space (then, complete) and its subsets in the cyclic disposal are all non-empty and closed while (at least) one of them is convex, such sequences are Cauchy sequences and then convergent. The convergence points of such sequences belong to the sets of best proximity points of adjacent subsets (which have to be then non-empty) from the associated property as for any for any initial points in any of the subsets so for sequences ; and and for any (See Lemma 5(i) More formally, one establishes the following main result of this article:
Theorem 1. Let for be non-empty closed subsets of a uniformly convex Banach space , such that is convex for some and let the self-mapping on be any of the enriched -cyclic contractions of Definitions 1–3 such that:
- (a)
If satisfies Definition 2, or Definition 1, then it is also subject to the conditions of Lemma 1(iv).
- (b)
If satisfies Definition 3 then it is also subject to the conditions (1) and (2) of Lemma 5.
Then the sets of best proximity points , subset of , are all non-empty for and all sequences for any and any .
The above result also holds if the mapping satisfies Definition 4.
Proof. In any of the considered cases, it has been concluded that (a) ; , as for any and any ; (b) and its composed self-mappings are continuous in ; and (c) the sequences are Cauchy, then convergent, for any . Thus, if for any then since is closed and . Then, the best proximity set in to is non-empty. Furthermore, since, otherwise, if this is not the case, so that , then would fail. As a result, so that for all . Thus, for any and any as claimed. □
Remark 5. Note that Theorem 1 does not prove the existence of unique best proximity points at each of the subsets for but it guarantees that there exists at least one of such points per subset and that the various enriched cyclic maps under study generate limit cycles for any sequences under any initial conditions such that the cycles consists of a best proximity point per subset. The key ideas which support this result are that the generated sequences through the self-mapping from any initial conditions converge to a best proximity point of the convex and closed subset to its adjacent subset and, since the self-mapping is continuous single-valued, this limit best proximity point is mapped to a single point at its adjacent closed subset (which has to be also a best proximity point since distances converge to D) and so on for the subsequent subsets of the disposal. The sets of these best proximity points form a limit cycle to which all the sequences converge for any initial condition located in any of the subsets.
Corollary 1. If in Theorem 1, all the subsets are, in addition, convex for , then all the best proximity points are unique.
Proof. Theorem 1 above and Theorem 3.10 of [
1] proves the uniqueness of the best proximity points for
. □
Corollary 2. If in Theorem 1, , then the set of best proximity points are identical, and coincident with a unique fixed point of on , and all the sequences for any .
Proof. It is direct from Theorem 1 since , since , all the best proximity points are confluent in a unique fixed point and ; . □