Abstract
We present a survey of the theory of measures of noncompactness and discuss some fixed point theorems of Darbo’s type. We apply the technique of measures of noncompactness to the characterization of classes of compact operators between certain sequence spaces, in solving infinite systems of integral equations in some sequence spaces. We also present some recent results related to the existence of best proximity points (pairs) for some classes of cyclic and noncyclic condensing operators in Banach spaces equipped with a suitable measure of noncompactness. Finally, we discuss the existence of an optimal solution for systems of integro–differentials.
Keywords:
measures of noncompactness; fixed point theorems; compact operators between BK spaces; best proximity point (pair); cyclic (noncyclic) condensing operator; optimum solution; system of integro–differentials MSC:
47A45; 40C05; 46B45; 47H08; 47H09; 47H10; 49J27; 49A34
1. Introduction, Notations and Preliminaries
Measures of noncompactness play an important role in nonlinear functional analysis. They are important tools in metric fixed point theory, the theory of operator equations in Banach spaces, and the characterizations of classes of compact operators. They are also applied in the studies of various kinds of differential and integral equations.
The first measure of noncompactness, the function , was defined and studied by Kuratowski [1] in 1930. In 1955, Darbo [2] was the first to use the function to prove his famous fixed point theorem, Theorem 9.
The second measure of noncompactness was introduced by Goldenštein et al. [3,4], namely the Hausdorff or ball measure of noncompactness denoted by .
We refer to [5,6,7,8,9,10] for comprehensive studies.
Throughout, we use the following standard notations.
Let be a metric space, and . A subset M of X is relatively compact if it has compact closure . Further,
denote the open and closed ball, and the sphere of radius r centered at x, respectively. If X is a normed space, and , then we write , and . Let S and be subsets of a metric space , then:
are called the diameter of S, the distance of S, and , and the distance of the point x and the set S, respectively.
If and , then S is called an –net of M, if, for every , there exists such that ; if S is finite, then S is a finite –net of M.
A sequence in a linear metric space X is called a Schauder basis for X if for every there exists a unique sequence of scalars such that:
Let X and Y be Banach spaces. Then, denotes the Banach space of all bounded linear operators from X into Y with the operator norm:
we write , for short. In particular, denotes the set of all continuous linear functionals on X with the norm:
is also referred to as the continuous dual of X.
An operator is compact if L maps bounded subsets of X to relatively compact subsets of Y, or equivalently, for any bounded sequence in X, the sequence has a convergent subsequence in Y. The set of all compact operators from X to Y is denoted by ; we write , for short.
Spaces
The study of operators, in particular of matrix transformations, between sequence spaces is an important field of applications of measures of noncompactness. Here, we mention the standard notations and list the necessary results concerning spaces. We recommend the monographs [9,11,12,13,14,15] for the study of the theory of spaces.
We denote by the set of all complex sequences , and by , c, , and the subsets of of all bounded, convergent, null, and finite sequences, and write:
Moreover, and denote the sets of all convergent and bounded series of complex numbers, respectively. Finally we write:
for the set of all sequences of bounded variation, and .
We write and for the sequences with for all k, and and for .
Example 1.
and convergence in and coordinatewise convergence are equivalent; this means:
and
The following facts are well known.
- (a)
- The set ω is a Fréchet space, that is, a complete linear metric space, with respect to:
- (b)
- The sets , c, , for , , , and are Banach spaces with respect to their natural norms defined by:
Now, we recall the definition of spaces, and their special cases spaces. and were first studied by Zeller [16,17,18].
Definition 1.
A Fréchet sequence space is called an space if d is stronger than , that is, if the inclusion map with for all is continuous. An space is called a space if its metric is given by a norm.
We note that, by Example 1 (a), a Fréchet sequence space is an space if convergence in d implies coordinatewise convergence.
Now, we recall the concept of the property.
Definition 2.
An space X has , if every sequence has a unique representation:
where is then–section x.
Example 2.
where ; and have no Schauder bases.
The following facts are well known.
- (a)
- The space has .
- (b)
- The Banach spaces of Example 1 (a) are space with respect to their natural norms.
- (c)
- The spaces , , and have ; every sequence has a unique representation:
We also recall the following concepts.
Let . Then, the set,
is called the β–dual of X.
Theorem 1
([13], Theorem 7.2.9).
Let be an space. Then, ; this means that there is a linear one–to–one map . If X has then T is onto.
Let be an infinite matrix of complex entries, denote the sequence in the row of A, be a sequence and X and Y be subsets of . Then
is called the A transform of the sequence x, and is called the A transform of the sequence x (provided all the series converge). Furthermore,
is the matrix domain of A in X. Finally denotes the class of all infinite matrices A with .
Now, we state the probably most important result concerning matrix transformations.
Theorem 2
([13], Theorem 4.2.7). Matrix transformations between spaces are continuous.
Finally, we state the relation between the classes and for spaces X and Y; the first part is a special case of Theorem 2, and the second part is ([9], Theorem 9.3.3).
Theorem 3.
Let X and Y be spaces.
- (a)
- Then, ; this means, every matrix defines an operator , where:
- (b)
- If X has then ; this means, every operator is given by a matrix , where:
Example 3
2. Measures of Noncompactness and Their Properties
We start with the axioms of a measure of noncompactness on , the bounded subsets of a complete metric space ; they can be found, for instance, in ([7], Definition II, 1.1).
We will also consider the axioms of measures of noncompactness in Banach spaces as in [5,6].
Definition 3.
Let X be a complete metric space. A set function is a measure of noncompactness on , if the following conditions are satisfied for all sets ,
Example 4.
Let X be a complete metric space and ϕ for all be defined by if Q is relatively compact, and otherwise. Then ϕ is a measure of noncompactness, the so–called trivial measure of noncompactness.
The following properties are easily obtained from Definition 3.
Proposition 1.
Let ϕ be a measure of noncompactness on a complete metric space X. Then ϕ has the following properties:
Definition 4.
for all is called the Kuratowski measure of noncompactness; the real number is called the Kuratowski measure of noncompactness of Q.
for all is called the Hausdorff or ball measure of noncompactness; the real number is called the Hausdorff or ball measure of noncompactness of Q.
or equivalently,
for all is called the separation or Istrǎţescu measure of noncompactness; the real number is called the separation or Istrǎţescu measure of noncompactness of Q.
Let be a complete metric space.
- (a)
- The function with:
- (b)
- The function with:
- (c)
- We recall that a subset S of is said to be r–separated or r–discrete, if for all distinct elements of S; the set S is called an r–separation. The function with:
Remark 1.(a) If it is required that the centers of the balls that cover Q belong to Q then the real number is referred to a the inner Hausdorff measure on noncompactness of Q, and the function is called the inner Hausdorff measure on noncompactness.
- (b)
- (([9], Remark 7.7.3) The function is not a measure of noncompactness in the sense of Definition 3; it satisfies the conditions in (MNC.1) and (MNC.2), but (MNC.3) and (8) do not hold, in general. It can be shown that:
The following results hold (([9], Theorems 7.6.3, 7.7.5 (a)) for and , and ([7], Remark II.3.2) for ).
Theorem 4.
If X is a Banach space, then some measures of noncompactness my satisfy some additional conditions. The convex hull of a subset M of a linear space is denoted and defined by:
The following results hold for and by ([7], Proposition II.2.3 and Theorem II.2.4) and for by ([7], Remark II.3.2 and Theorems II.3.4 and II.3.6).
Theorem 5.
Let X be a Banach space, and ϕ be any of the functions α, χ or β. Then we have for all :
Remark 2.
Let X be an infinite dimensional Banach space.
- (a)
- ([7], Corollary II.2.6) Then,
- (b)
- ([7], Remark II.3.2) The functions α, β and χ are equivalent, that is,
- (c)
- The Kuratowski and Hausdorff measures of noncompactness are closely related to the geometric properties of the space; the inequality can be improved in some spaces ([19,20]).
For instance, in Hilbert spaces H ([5,21]):
and in for ,
- (d)
- Studies on inequivalent measures of noncompactness can be found, for instance, in [22,23].
Whereas and ) in infinite dimensional Banach spaces X are independent of the space, this is not true for . The following result holds by ([7], Remark II.3.11 and Theorem II.3.12) for and , respectively.
Remark 3.
Let . Then .
There is a relation between the Hausdorff distance (Definition 5) and .
Definition 5.
Let be a metric space. The function defined by:
is called the Hausdorff distance; the value is called the Hausdorff distance of the sets S and .
Remark 4
([9], Theorem 7.4.2). It is well known that if is a metric space, then is a semimetric space and is a metric space, where denotes the class of closed subsets in .
We also mention the following result.
Theorem 6
([9], Theorem 7.7.14). Let be a complete metric space, and denote the class of all nonempty compact sets in . Then we have:
and,
Now, we list the axioms for measures of noncompactness in as stated by Banaś and Goebel [5].
Definition 6
([5], Definition 3.1.1). Let X be a Banach space.
A function is a measure of noncompactness on X if it satisfies the conditions (MNC.2) (invariance under closure), (8) (monotonicity), (14) (invariance under the passage to the convex hull), and,
- (i)
- The family ker is contained in the family of all relatively compact subsets of X (compare this with (MNC.1));
- (ii)
- i=If is a decreasing sequence of sets in with , then(compare with (11) (Cantor’s generalized intersection property));
- (iii)
- for all and all (convexity condition).
Remark 5.(a) The functions α, χ, and β are measures on noncompactness in the sense of Definition 6. (b) The family ker is referred to as the kernel of the measure of noncompactness ψ.
Remark 6.
The term measure of noncompactness will always be used in the sense of Definition 3 unless explicitly stated otherwise.
As an important application of the Hausdorff measure of noncompactness we are now going to state the famous Goldenštein, Go’hberg, Markus theorem [3] which provides an estimate for in Banach spaces with a Schauder basis.
Theorem 7
(Goldenštein, Go’hberg, Markus ([3] or [9], Theorem 7.9.3)).
Let X be a Banach space with a Schauder basis and the functions for be defined by:
where for each n is the function with:
Then, we have for all :
where is the basis constant.
The following corollary of Theorem 7 is very useful for spaces with with a so–called monotonous norm, that is, a norm for which whenever with for all k.
Corollary 1
and .
([9], Lemma 9.8.1).
- (a)
- Let be a monotonous space with and for each n. Then we have:
- (b)
- Let for be defined by for all , where . Then,
Example 5.(a) Since and are monotonous spaces with , Corollary 1 (a) yields:
- (b)
- We obtain from Corollary 1(b):
Measures of Noncompactness of Operators
Contractive and condensing maps play an important role in fixed point theory, for instance in Banach’s and Darbo’s eminent fixed point theorems. Now, we are going to introduce these concepts, and measures of noncompactness of operators.
Definition 7
([7], Definition II.5.1). Let X and Y be complete metric spaces, ϕ and ψ be measures of noncompactness on X and Y, respectively, and be a map. Then:
- (a)
- L is a –contractive operator with constant , or –contractive, for short, if L is continuous and satisfies:
If and , L is referred to as a –contractive operator.
- (b)
- L is a –condensing operator with constant , or –condensing, for short, if L is continuous and satisfies
If and , L is referred to as a –condensing operator. Moreover, if , then L is said to be a ϕ–condensing operator.
Remark 7
([7], Proposition II.5.3).
- (a)
- If , the Kuratowski measure of noncompactness, then the –contractive (condensing) operators are calledk–set contractive (condensing).
- (b)
- If , the Hausdorff measure of noncompactness, then the –contractive (condensing) operators are calledk–ball contractive (condensing).
- (c)
- Every compact operator is –contractive and –condensing for all .
- (d)
- Every –condensing operator is –contractive, but the converse is not true, in general.
- (e)
- An example of a set–condensing operator which is not k–set–contractive for any can be found in ([7], Example II.6).
We recall that a map f from a metric space into itself is called a contraction if there exists a constant such that:
Using the above concepts, we can now state the famous fixed point theorems by Banach et al. Banach’s fixed point theorem is also referred to as the Banach contraction principle. We recommend the monographs [24,25,26,27,28] and the survey paper [29] for further studies on fixed point theorems.
Theorem 8
(Banach’s fixed point theorem). Every contraction from a complete metric space into itself has a unique fixed point.
Theorem 9
(Darbo’s fixed point theorem [2]). Let X be a Banach space and be nonempty and convex. If is a k–contractive set operator for some , then L has a fixed point in C.
Darbo’s fixed point theorem is a generalization of Schauder’s fixed point theorem.
Theorem 10
(Schauder’s fixed point theorem) ([30], Theorem 1). Every continuous map from a nonempty, compact and convex subset C of a Banach space into C has a fixed point.
The next result is a generalization of Theorem 9.
Theorem 11
(Darbo–Sadovskiĭ ([31,32] or ([7], Theorem II.5.4))).
Let X be a Banach space, ϕ be a measure of noncompactness which is invaraint under the passage to the convex hull, be nonempty and convex, and be a ϕ–condensing operator. Then L has a fixed point.
The following example shows that Theorem 11 need not hold for one–contractive operators f.
Example 6
([7], Example II.7).
We define the operator by:
Then, we can write , where g is the mapping with:
and is an isometry.
Then f is a well–defined, continuous operator, and every bounded subset Q in satisfies:
Consequently, f is a one–set–contractive operator, but f has no fixed points.
If f had a fixed point , then we would have for all k. Since , this would imply for all k, and then . This is a contradiction.
Definition 8
and if there exist a nonnegative real number c such that:
is called the–operator norm of Lor–measure of noncompactness of L.
([9], Definition 7.11.1).
Let ϕ and ψ be measures of noncompactness on the Banach spaces X and Y, respectively.
- (a)
- An operator is said to be–bounded , if:
- (b)
- If an operator L is –bounded, then the number,
If , we write , for short.
Remark 8.
A –bounded operator is a c–contractive – operator between Banach spaces for some c by Definitions 8 (a) and 7 (a).
Theorem 12
([9], Theorem 7.11.4). Let X and Y be infinite dimensional Banach spaces and . Then we have:
Theorem 13
([9], Theorem 7.11.5). Let X, Y, and Z be Banach spaces, and . Then is a seminorm on , and:
In Example (3), we characterized the class and established a formula for the norm of operators in . Now we characterize the class .
Example 7
(Goldenštein, Go’hberg, Markus). ([3] or ([9], Theorem 7.9.3)) Let . Then:
where represents L.
Furthermore, if and only if:
3. Bounded and Compact Operators on the Generalized Hahn Space
Here, we apply the results of Section 1 and Section 2 to the characterizations of classes of bounded and compact linear operators from the generalized Hahn space into itself and into the spaces of sequences that are strongly summable by the Cesàro method of order one, with index , and into the spaces of strongly convergent sequences. We also establish identities or estimates for the Hausdorff measure of noncompactness of those operators.
For further studies on the generalized Hahn space we recommend the research papers [33,34,35].
The Properties of Our Sequence Spaces
We recall the definition of the operators of the forward and backward differences given for all sequences by:
Throughout, we use the convention that every term with an index is equal to 0.
The original Hahn space:
was introduced by Hahn in 1922 [36] in connection with the theory of singular integrals. K. C. Rao showed [37] that h is a space with with the norm:
Goes [38] introduced and studied the generalized Hahn space:
where is a given sequence of positive real numbers . If for all k, then reduces to the original Hahn space h, and if then .
Let . The sets:
and
of sequences that are strongly summable to zero, strongly summable and strongly bounded by the Cesàro method of order 1, with index p, were first introduced and studied by I. J. Maddox [39]. We write , and , for short.
The sets:
and:
of sequences that are strongly convergent to zero, strongly convergent, and strongly bounded were introduced and studied by Kuttner and Thorpe [40] and later generalized and studied in [41,42].
Throughout, we assume that the sequence d for is always a monotone increasing unbounded sequence of positive real numbers.
The following result holds.
Theorem 14
([43], Proposition 2.1). The space is a space with , where:
The following example shows that may not have , in general, if the sequence d is not monotone increasing.
Example 8.
Let and be the sequences with:
and:
Then, clearly, , and also,
where,
hence, . Thus, we have .
On the other hand, let be given. Then we have for ,
hence as .
Let:
and:
Remark 9.
Since is a space with for all by ([13], Example 4.3.17), and is the matrix domain in of the triangle with for and , is a space with by ([13], Theorem 4.3.12).
Theorem 15
([43], Proposition 2.3). The spaces and of are norm isomorphic.
Now, we list the fundamental topological properties of the sets , , , , and . The results are analogous to those for , c and in Example 2.
Theorem 16.
is a closed subspace of and is a closed subspace of ; has , every sequence has a unique representation (2), where ξ is the unique complex number such that ; has no Schauder basis.
(a) ([39]) Let . Then the sets , , and are spaces with their natural norms:
is a closed subspace of and is a closed subspace of ; has , every sequence has a unique representation (2), where ξ is the unique complex number such that ; has no Schauder basis.
- (b)
- ([42], Theorem 2)The sets , , and are spaces with their natural norms
3.1. Some Classes of Bounded Linear Operators on the Generalized Hahn Space
In this subsection, we characterize the classes where Y is any of the spaces , , , for , , and . We also establish formulas for the norm of the corresponding operators.
We recall the following concept and results needed in the proofs of our characterizations.
Definition 9.
([13], Definition 7.4.2) Let X be a space. A subset E of the set ϕ called a determining set for X if is the absolutely convex hull of E.
Proposition 2
([43], Proposition 3.2). Let,
Then E is a determining set for .
Proposition 3
and,
([13], Theorem 8.3.4).
Let X be a space with , E be a determining set for X, and Y be an space. Then, if and only if:
Since is a space with by Theorem 14, and the spaces Y for , , , , , and are spaces by Theorem 16, it follows from Theorem 3 that if and only if , where A is the infinite matrix that represents L as in (4). We are going to use this throughout.
Theorem 17
([43], Theorem 3.9 and Corollary 3.15 (a)).
We have if and only if:
and:
Moreover, if then:
Proof.
Since is a spaces with by Theorem 14, we apply Proposition 3 and observe that:
is a determining set for by Proposition 2.
First, the condition in (ii) of Proposition 3 is:
and:
Now, we show that condition (i) in Proposition 3 is redundant. Since for each k by (23), it follows from (24) that:
Finally, we show that implies (25).
We write B for the matrix with the rows for all n. Let be given. Then, we have by Abel’s summation by parts for each n:
Since has and , it follows that:
Furthermore, each functional is continuous, since is a space, and so for each and all :
hence for all
that is,
To show the converse inequality, let be given and . Then it follows that:
Remark 10.
It was shown in ([37], Proposition 10) that if and only if:
It seems that the condition in (ii) is redundant.
Proof.
We show more generally that (24) implies:
3.2. Some Classes of Compact Operators on the Generalized Hahn Space
Now, we study the Hausdorff measure of the bounded linear operators of Section 3.1 and the related classes of compact operators.
First, we consider the case of .
Lemma 1
([43], Lemma 4.5). Let , and be given sequences of complex numbers, and be the tridiagonal matrix with:
Putting,
we obtain,
For , is the multiplier of X in Y.
We obtain some useful special cases of Lemma 1.
Corollary 2
and so, since has ,
- (b)
- Let be given and , then we obtain from Part (a):
In the next result, we use the notation introduced at the beginning of the proof of Example 7.
Theorem 20.
(a) ([43], Theorem 4.8 (a))Let . We write:
Then, we have:
- (b)
- ([43], Corollary 4.10 (d))The operator is compact if and only if:
Proof.
Theorem 21.
where the complex numbers are defined in (30).
- (b)
- Let . Then we have:
- (c)
- Let . Then if and only if:
- (d)
- Let . Then if and only if:
Remark 11.
Parts (a) and (b) in Theorem 21 are ([44], Theorem 3.3) for and ([45], Theorem 3.4) for .
Parts (c) and (d) in Theorem 21 are ([44], Corollary 3.4) for and ([45], Corollary 3.5) for .
4. Some Applications
We apply Theorem 17, Corollary 2 (a) and Theorem 20 (b) and get results by Sawano and El–Shabrawy ([47], Corollary 5.1 and Lemma 5.1).
Rhaly [48] defined the generalized Cesàro operator on for by the triangle , where for and .
Example 9
([47], Corollary 5.1). We have for .
Proof.
Clearly for each k, so (23) in Theorem 17 holds.
We put:
If , then diag is the diagonal matrix with the entries on its diagonal.
Let be arbitrary.
For , we obtain:
Now, let , and be arbitrary.
If , then for and for . We get:
If , then for all . We get:
If for all k of the following example gives ([47], Lemma 5.1).
Example 10.
Let be a decreasing sequence of positive real numbers which converges to 0 and diag denote the diagonal matrix with the sequence λ on its diagonal. Then .
Proof.
Since and for all k, we have for all m:
hence, by Corollary 2 (a), that is, .
If is arbitrary, then for all , and:
for all . Hence,
and so is compact by Theeorem 20 (b). □
We obtain the following results for the classical Hahn space h.
Remark 12.
We have:
- (a)
- (([44], Example 3.5) for and ([45], Example 3.6) for ) for and ;
- (b)
- ([46], Example 3.6) and .
If X and Y are Banach spaces, , then we denote by and denote the null space and the range of L, respectively. Now, L is called a Fredholm operator, if is closed, . In this case, the index L is given by . Furthermore, if and , then is a Fredholm operator with ([49] or ([9], Section 7.13)).
Corollary 3
([43], Corollary 4.13). Let , and be given complex sequences, and:
Then, the operator represented by the matrix:
is Fredholm with , if is Fredholm with and and are compact.
Example 11
([43], Example 4.14). If , and for all k, then represented by is Fredholm.
5. Some Mathematical Background
Now, we apply measures of noncompactness to the solvability of infinite systems of integral equations.
The notation will stand for measures of noncompactness in Banach spaces in the sense of Banaś and Goebel given in Definition 6.
Hyperconvex spaces were introduced by Aronszajn and Panitchpakdi [50]. They are very important in metric fixed point theory, see [51] and the references therein.
Definition 10.
A metric space is hyperconvex if every class of closed balls with satisfies:
The following result holds.
Theorem 23
where denotes hyperconvex hull of , holds for every subset , then f has a fixed point.
([52]). Let X be a hyperconvex metric space, and let f be a continuous self–map of X. If the following implication:
Theorem 23 can be applied in certain cases of continuous self–maps in hyperconvex metric spaces, where Darbo’s fixed point theorem, Theorem 9, or Darbo–Sadovskiĭ type fixed point theorems such as Theorem 11 are not applicable. This is illustrated in the following example.
Example 12
([52]). Consider with the radial metric:
where ρ denotes the usual Euclidean metric and . Define the map, by for and . Then f does not satisfy Darbo’s condensing condition, but it satisfies the hypotheses of Theorem 23. Hence, f has a fixed point.
Samadi [53] gave the following extension of Darbo’s fixed point theorem.
Theorem 24.
Let be a bounded, closed and convex subset of a Banach space E. Assume is a continuous operator satisfying:
for all nonempty subsets X of C, where μ is an arbitrary on E and , where Δ is the set of all pairs that satisfy the following conditions:
- ()
- for each strictly increasing sequence ;
- ()
- f is strictly increasing function;
- ()
- for each sequence of positive numbers, if and only if .
- ()
- If is a decreasing sequence such that and then we have .
5.1. Meir–Keeler Generalization
We continue with the famous result by Meir–Keeler [54] of 1969.
Definition 11.
Let be a metric space. A self– map T on X is a Meir–Keeler contraction (MKC) if for any , there exists such that:
for all .
Theorem 25
([54]). Let be a complete metric space. If is a Meir–Keeler contraction, then T has a unique fixed point.
Definition 12
([55]). Let C be a nonempty subset of a Banach space E and be an on E. We say that an operator is a Meir–Keeler condensing operator if for any , there exists such that:
for any bounded subset X of C.
We note that any is also a Meir–Keeler condensing operator, if we take the as diam .
Theorem 26
([55]). Let be a closed, bounded, and convex subset of a Banach space E and μ be an arbitrary on E. If is continuous and a Meir–Keeler condensing operator, then T has at least one fixed point and the set of all fixed points of T in C is compact.
The characterization of Meir–Keeler contractions in metric spaces was studied by Lim [56] and Suzuki [57] by introducing notion of L–functions.
Definition 13
([56]). A slef–map on is called an L–function if , for , and for every there exists such that , for any .
Theorem 27
([55]). Let, be a bounded subset of a Banach space E, μ be an arbitrary on E and be a continuous operator. Then, T is a Meir–Keeler condensing operator if and only if there exists an L–function ϕ such that:
for all closed and bounded subset X of C with .
We need the following concept.
Definition 14
([58]). Let be a metric space. Then, a mapping is said to be contractive if:
for all with .
Theorem 28
(Edelstein [58]). Let be a compact metric space. If T is a contractive map on X, then there exists a unique fixed point .
Definition 15.
Let be a bounded subset of a Banach space E, and μ an on E. Then, a self–map T on C is an asymptotic Meir–Keeler condensing operator if there exists a sequence of self–maps on satisfying the following conditions:
- (A1)
- For each , there exists and such that for any ,
- (A2)
- , .
In the next theorem, the convexity condition of the set C in the previous results is replaced by assumption that the operator T is contractive.
Theorem 29.
Let be a bounded and closed (not necessarily convex) subset of a Banach space E, and μ be an on E. Let be a contractive and asymptotic Meir–Keeler condensing operator. Then, T has a unique fixed point in C.
Proof.
We define a sequence by putting and for . Since T is contractive and continuous, it follows that . This inclusion yields , so and . If for some integer , then is compact. Hence, T has a fixed point by Theorem 28. Now we suppose that for . We put and . We prove . If , then by the definition of r, and the conditions in (A1) and (A2), there exist , , and such that for any and . Consequently,
This is a contradiction, so . Hence, . Since and for all , the generalized Cantor intersection property of the yields the is nonempty and closed, invariant under T, and belongs to . Then, by Theorem 28, T has a unique fixed point in . Furthermore, since for all , it follows that and T has a unique fixed point in C. □
5.2. Darbo-Type Theorem for Commuting Operators
Now we are going to discuss some fixed point theorems obtained in [59,60] for commuting maps in locally convex spaces and Banach spaces, satisfying the following inequalities:
and:
We briefly describe ’s on locally convex spaces. Let X be a Hausdorff complete and locally convex space whose topology is defined by family of equicontinuous seminorms . A local base of closed 0–neighborhood of X is generated by the sets:
Let denote the family of all bounded subsets of X and be the space of all functions with the partial order “ if and only if for all ”.
Definition 16.
A measure of noncompactness on a locally convex space is the function γ from into Φ such that for each , we have that is a function from into , such that:
Remark 13
([60]). On a Hausdorff, complete locally convex space, γ satisfies the generalized Cantor intersection property.
Definition 17.
A mapping T of a convex set M is said to be affine if:
whenever and .
The following result holds.
Theorem 30
([60]). Let X be a Hausdorff complete and locally convex space, Ω be a convex, closed and bounded subset of X, I be an index set, and , S be a continuous function from Ω into Ω such that the following conditions hold:
- (a)
- For any commutes with S.
- (b)
- For any and , we have .
- (c)
- There exists such that for any .
Then we have:
- (1)
- The set is nonempty and compact.
- (2)
- For any , set is nonempty, closed and invariant by S.
- (3)
- If is affine and is a commuting family then and S have a common fixed point and the set is compact.
- (4)
- If is a commuting family and S is affine, then there exists a common fixed point for the mapping .
Remark 14.
If is the identity function for any , above theorem becomes generalization of Darbo’s fixed point theorem in the structure of locally convex spaces.
The following theorem due to [59] generalizes the Sadovskiĭ fixed point theorem for commuting operators.
Theorem 31.
Let X be a Hausdorff complete and locally convex space, Ω be a convex, closed and bounded subset of X, I be an index set, and , S be a continuous function from Ω into Ω such that:
- (a)
- For each , commutes with S.
- (b)
- For each is linear map.
- (c)
- There exists such that for each and , with , we have:
Then we have:
- (1)
- and S have a fixed point, and is compact.
- (2)
- If is a commuting family and S is affine, then there exists a common fixed point for the mapping in .
Remark 15.
If is the identity function, then above theorem becomes a generalization of Sadovskii’s fixed point theorem.
It is well known for operators S and T that if the composition operator has a fixed point, then S and T do not necessarily poss a fixed point or a common fixed point. It becomes interesting to investigate the conditions which force the operator S, T to have a common fixed point. This result is also helpful in obtaining existence results for common solutions of a certain type of equations.
Theorem 32
([59]). Let X be a Banach space and be a convex, closed, and bounded subset of X. Let T and S be two continuous functions from Ω into Ω such that:
- (a)
- ;
- (b)
- T is affine;
- (c)
- There exist such that for any we have .
Then, the set is nonempty and compact.
Proof.
The operator H with is a continuous self–map H on and, commutes with T.
The semi–homogeneity and sub–additive property of the imply:
for any . Since , , and we have . Hence, it follows from Theorem 30 that is compact.
Moreover, we have for any :
So S and T have a common fixed point. We put . Then,
implies . Since S and T are continuous, F is compact. □
Remark 16.
If the operator T is equal to the identity function, then we obtain Darbo’s fixed point theorem from Theorem 32.
Theorem 33
([59]). Let X be a Banach space and be a convex, closed and bounded subset of X. Let , and S be two continuous self–maps on Ω such that:
- (a)
- ;
- (b)
- are affine;
- (c)
- There exist such that for any we have .
Then, the set is compact.
6. Applications to Integral Equations
Now we apply measures of noncompactness to solve some differential and integral equations, and systems of linear equations in sequence spaces. Furthermore, we discuss existence results obtained by various authors, for the solution of integral equations in some sequence spaces.
We use the standard notations and results for functions of bounded variation, their total variation and the Riemann–Stieltjes integral (cf. [55]).
6.1. Infinite System of Integral Equations of Volterra–Stieltjes Type In Sequence Spaces and
We study the solutions for an infinite system of integral equations of the Volterra–Stieltjes type of the form (see [61]):
where is the space of all real functions , which are defined, continuous, and bounded on the set with the supremum norm:
6.1.1. Solution in the Space
We consider the following hypotheses:
- is continuous and there are realswith:for all and . Moreover, we have:
- is continuous with and there are reals with:for all and:
- is a continuous operator satisfying:for all and.
- For any fixedthe functionis of bounded variation on the intervaland the functionis bounded over.
- is continuous and there exist continuous functions such that:We also put:
- is a continuous function and there exists a continuous functionsuch that the functionis integrable oversatisfying:for alland. We put:
- There exists a solution with:Moreover, assume that .
Theorem 34.
Under the assumptions –, Equation (47) has at least one solution in .
Example 13.
Here, we investigate the system of integral equations:
Obviously, and satisfy and with and , T satisfies . To check , we assume and . It follows that:
We obtain from that: . Consequently, we have:
hence,
Thus, . Furthermore, verifies with and . To establish that and satisfy assumption , we observe that and are increasing on every interval and is bounded on the triangle . Therefore, the function is of bounded variation on and:
Thus, and we may choose .
Therefore, by Theorem 34, the infinite system (48) has at least one solution in .
6.1.2. Solution in the Space
Now we study the system (47) and consider the following assumptions.
- is continuous and there exist positive reals with:for all and . Moreover, assume:
- is continuous with and there exist positive reals with:for all and .
- is a continuous operator satisfying:for all and .
- For any fixed the functions are of bounded variation on and the functions are bounded on . Furthermore, for arbitrary, fixed positive T, the function is continuous on for .
- is continuous and there exist continuous functions with:for all and . Furthermore, we suppose that:where T is an arbitrary fixed positive real number.
- is a continuous function and there exists continuous function such that the function is integrable over and the following conditions hold:for all and . Furthermore, we suppose:
Theorem 35.
If the infinite system (47) satisfies , then it has at least one solution in .
Example 14.
Now we investigate:
in . Writing:
in (47), we obtain (49). We observe that and satisfy and . Indeed, we have:
Obviously, T satisfies and:
Moreover, since:
the function is increasing and we obtain:
Consequently,
Again, we have:
Hence, and . We also have that:
satisfies assumption with and . Since the function is continuous on , we can put , where T is an arbitrary, fixed, psoitive real number. Thus, Theorem 35 implies that the infinite system (49) has at least one solution in .
6.2. Infinite System of Integral Equations in Two Variables of Hammerstein Type in Sequence Spaces and
In this subsection, we study the following infinite system of Hammerstein-type integral equations in two variables:
where in and . The solvability of (50) is studied in [62] using the idea of measure of noncompactness (MNC).
To find the condition under which (50) has a solution in we need the following assumptions:
- (A1)
- The functions are real valued and continuous defined on the set . The operator defined on the space as:maps into . The set of all such functions is equicontinuous at every point of , that is, given :
- (A2)
- For each fixed :where and are real–valued continuous functions on . The function sequence is equibounded on and the function sequence converges uniformly on to a function vanishing identically on .
- (A3)
- The functions are continuous on , and are equicontinuous with respect to that is, for every there exists with:for all . Furthermore, the function sequence is equibounded on the set and:
- (A4)
- The functions are continuous and the function sequence is uniformly convergent to zero on . Moreover,
Keeping assumption under consideration, we define the following finite constants:
Theorem 36.
If the infinite system (50) satisfies –, then it has at least one solution in for fixed , whenever .
Example 15.
We study the infinite system of Hammerstein-type integral equations in two variables:
for and .
Denoting, by the interval , we show that the assumptions of the Theorem 36 are satisfied. It is obvious that the operator defined by:
transforms the space into .
Now, we establish that the family of functions is equicontinuous at an arbitrary point . Fix and , let such that . Then,
Hence,
so the family is equicontinuous.
Now, fix and , then:
We put and . Then, clearly and are real–valued functions and converges uniformly to zero.
Further, for all .
Hence, and .
The functions are continuous on and the function sequence is equibounded on . Moreover,
Now, fix and then for arbitrary with:
We have:
Therefore, is equicontinuous.
Thus, , is continuous for all and for all n and converges uniformly to zero.
The value of the factor . Thus, by Theorem 36, the infinite system in (50) has a solution in , which belongs to the ball where:
Solution in the Space
The existence of a solution for the system (50) is found in the space keeping the following assumptions under consideration:
- (C1)
- The functions are real valued and continuous defined on the set . The operator defined on the space as:maps into . The set of all such functions is equicontinuous at every point of the space , that is, given ,
- (C1)
- For fixed , the following inequality holds:where and are real–valued continuous functions on . The function series is uniformly convergent on and the function sequence is equibounded on . The function given by is continuous on and the constants defined as:are finite.
- (C3)
- The functions are continuous on . Furthermore, these functions are equicontinuous with respect to , that is, for all there exists a such that:for all . Moreover, the function sequence is equibounded on the set and:
- (C4)
- The functions are continuous and the function sequence .
Remark 17.
Since is a compact subset of , so the assumption of continuity in implies that is uniformly continuous, which implies that the function sequence is equicontinuous on , as for every there is a , such that for all ,
whenever . Furthermore, by (52), the function series is obviously convergent on and the function:
is continuous on . Furthermore,
Theorem 37.
If the system (50) satisfies –, then it has at least one solution in for fixed , whenever .
Example 16.
We study the infinite system of Hammerstein-type integral equations in two variables:
for , a constant.
Clearly, is continuous on .
Moreover, for fixed , we see that:
where denotes Riemann zeta function.
Choosing , so that , we obtain:
Furthermore, for every we have:
Hence,
Thus, assumption and Remark 17 are satisfied.
Then, the function is continuous in and:
Thus, the function sequence is equibounded on . Moreover, for fixed and , we have for :
Therefore, the function sequence is equicontinuous with respect to uniformly with respect to , the value of the constant given as:
Hence, all assumptions of are satisfied.
Again,
Taking, and gives:
Obviously, the functions are continuous on , for any we have and the function series is uniformly convergent on the interval .
Furthermore,
for all . Hence, the function sequence is equibounded on . The value of the constants , are:
and . Using (54), (55), (56), and equation (11) of [62], we obtain:
Finally, we check whether the assumption is satisfied. Fix and , then for any with , then for fixed , we have:
Since, so so:
Thus, choose:
then for we have:
6.3. Solvability of an Infinite System Of Integral Equations of Volterra–Hammerstein Type on the Real Half–Axis
Here, we consider one more recent application of a measure of noncompactness and Darbo’s fixed point theorem to the solvability of an infinite system of integral equations of Volterra–Hammerstein type:
where and , on the real half–axis ([63], Theorem 3.4). The paper [63] is in continuation of the papers [64,65].
In [63], the authors construct a measure of noncompactness on the space of all functions that are continuous and bounded on . If , then for each ; is a Banach space with:
The following assumptions are made for the system (58):
- (i)
- The sequence satisfies uniformly in n, that is,and also for all .
- (ii)
- The functions are continuous on for . Moreover the functions are equicontinuous on uniformly with respect to , that is,
- (iii)
- There exists a positive constant such that:for any and .
- (iv)
- The sequence is equibounded on , that is, there exists a positive constant such that for all and .
- (v)
- The functions are defined on the and take real values for . Moreover, the function is uniformly continuous on with respect to and uniformly with respect to , that is, the following condition is satisfied:
- (vi)
- There exists a function such that l is nondecreasing on , continuous at 0 and there exists a sequence of functions in , taking nonnegative values and such that uniformly with respect to (cf. assumption (i)) and for any . Moreover, for any the following inequality is satisfied:for each such that , for every and for .Let .
- (vii)
- There exists a nondecreasing function which is continuous at 0 and satisfies:for any , for such that and for all and .
- (viii)
- The functions are defined on the set and take real values for . Moreover, the operator g defined on by:transforms the set into and is such that the family of functions is equicontinuous on , that is, for all there exists such that:for all and all such that .
- (ix)
- The operator g defined in assumption (viii) is bounded on the set , that is, there exists a positive constant G such that for all and all .
- (x)
- There exists a positive solution of the inequality:such that , where the constants were defined above and the constant A is defined by:
Theorem 38.
([63], Theorem 3.4) Under the assumptions (i)–(x), the infinite system (58) has at least one solution in .
Remark 18.
An example of the application of Theorem 38 can be found in ([63], Section 4).
We also recommend the paper [66].
Recently, in 2021 [67], a new sequence space related to the space was defined. The authors showed that it is a space with a Schauder basis. They established a formula for the Hausdorff measure of noncompactness for the bounded sets in the new sequence space. Then, Darbo’s fixed point theorem is applied to study the existence results for some infinite system of Langevin equations.
6.4. Periodic Mild Solutions for a Class of Functional Evolution Equations
In [68], the authors showed that the Poincaré operator is condensing with respect to the Kuratowski measure of noncompactness in a determined phase space. They also obtained periodic solutions from bounded solutions by applying Sadovskiĭ’s fixed point theorem.
Consider the existence of periodic mild solutions to the class of functional differential equations with infinite delay and non-instantaneous impulses:
where , , , , is a real Banach space, , , , are given functions T–periodic in , is an abstract phase space to be specified later, and is a given function. Here, is a T–periodic family of unbounded operators from E into E that generate an evolution system of operators for , where .
For any continuous function u and any , we denote by the element of defined by for . Here, represents the history of the state up to the present time t. We assume that the histories belong to .
By a periodic mild solution of problem (59), we mean a measurable and T–periodic function u that satisfies:
We use the following assumptions.
The functions f and are continuous, and map bounded sets into bounded sets.
The function is measurable on for and for each . Furthermore, the functions and are continuous on for a.e. for .
There is a positive constant T with , for and , and for , and .
There exist continuous functions and with:
and,
For bounded and measurable sets and for
implies,
and,
where is Kuratowski’s measure of noncompactness on the Banach space E.
Further, set:
We shall state the main result of the paper [69].
Theorem 39.
([69], Theorem 3.2) If – are satisfied and , then Problem (59) has at least one T–periodic mild solution on .
The authors also present an example to illustrate Theorem 39.
We also mention that fixed point theorems in b–metric spaces were recently considered.
Remark 19.
Recently, in 2021 [69], the authors introduced and studied two generalized contractions, the generalized –contraction and the generalized –contraction. Two fixed point theorems were established in ordered b–metric spaces. An example is presented to illustrate the fixed point theorem of the generalized –contraction.
It would be interesting to prove related results in the framework of measures of noncompactnes.
7. Some Mathematical Background
Here, we present some recent results connected to the existence of best proximity points (pairs) for some classes of cyclic and noncyclic condensing operators in Banach spaces with respect to a suitable measure of noncompactness. We also discuss the existence of an optimal solution for systems of integro–differentials.
Recently, many studies [70,71,72,73,74] applied generalizations of Darbo–Sadovskii’s fixed point theorem, Theorem 11, concerning the existence of solutions for several classes of functional integral equations.
In the following survey, we present some recent existence results of best proximity points (pairs) as a generalization of fixed points and obtain other extensions of Schauder’s fixed point problem as well as Darbo–Sadovskii’s fixed point theorem. As applications of our conclusions, we study the existence of optimal solutions for various classes of differential equations.
We recall that a Banach space X is said to be strictly convex provided that the following implication holds for and :
It is well known that Hilbert spaces and spaces are strictly convex Banach spaces. Furthermore, the Banach space with the norm:
where, and are the norms on and , respectively, is strictly convex.
Suppose A is a nonempty subset of a normed linear space X and T maps A into X. It is clear that the necessary (but not sufficient) condition for the existence of a fixed point of T is that the intersection of A and is nonempty. If T does not have any fixed point, then the distance between x and is positive for any x in A. In this case, it is our purpose to find an element x in A so that the distance of x and is minimum. Such a point is called a best approximant point of T in A. The first best approximation theorem due to Ky Fan ([75]) states that if is a compact and convex subset of a normed linear space X and is a continuous map from A, then T has a best approximant point in A. An interesting extension of Ky Fan’s theorem can be considered when , where subset . In this case, it is interesting to study the existence of the best proximity points; that is, points in A that estimate the distance between A and B. The existence of best proximity points for various classes of non-self mappings is a subject in optimization theory, which recently attracted the attention of many authors (see [76,77,78,79], and the references therein).
Let be subsets of a normed linear space X. We say that a pair of subsets of a Banach space X satisfies a certain property if both A and B satisfy that property. For example, is convex if and only if both A and B are convex; . From now on, will denote the closed ball in the Banach space X centered at with radius . The closed and convex hull of a set A will be denoted by . Furthermore, stands for the diameter of the set A. Moreover, for the pair we define:
It is known that if is a nonempty, weakly compact, and convex pair in a Banach space X, then the pair is also nonempty, weakly compact, and convex.
Definition 18.
A nonempty pair in a normed linear space X is said to be proximinal if and .
A map is cyclic relatively nonexpansive if T is cyclic, that is, , and , whenever and . In particular, if , then T is called a nonexpansive self–map. A point is a best proximity point for the map T if:
In fact, best proximity point theorems have been studied to find necessary conditions such that the minimization problem:
has at least one solution.
A map is noncyclic relatively nonexpansive if T is noncyclic, that is, , and for any . Clearly, the class of noncyclic relatively nonexpansive maps contains the class of nonexpansive maps. Noncyclic relatively nonexpansive maps may not necessarily be continuous. A point is a best proximity pair if it is a solution of the following minimization problem:
Clearly, is a solution of the problem (61) if and only if:
In 2017, M. Gabeleh, proved the following existence theorems by using a concept of proximal diametral sequences (we also refer to [80] for the same results which were based on a geometric notion of proximal normal structure).
Theorem 40
([81]). Let be a nonempty, compact, and convex pair in a Banach space X. If T is cyclic relatively nonexpansive mapping, then T has a best proximity point.
Theorem 41
([81]). Let be a nonempty, compact, and convex pair in a strictly convex Banach space X. If T is noncyclic relatively nonexpansive mapping, then T has a best proximity pair.
Finally, we state Mazur’s lemma.
Lemma 2
([82]). Let A be a nonempty and compact subset of a Banach space X. Then is compact.
8. Cyclic (Noncyclic) Condensing Operators
We start with an extension of Theorem 40.
Definition 19.
Let be a bounded pair in a Banach space X and a cyclic (noncyclic) map. Then, T is called compact whenever both and are compact, that is, the pair is compact.
The next result generalizes Schauder’s fixed point theorem, Theorem 10.
Theorem 42.
([83], Theorem 3.2) Let be a bounded, closed, and convex pair in a Banach space X such that . Also, let be a cyclic relatively nonexpansive map. If T is compact, then T has a best proximity point.
Proof.
Put and . Let . Then there exists with . Since T is a cyclic relatively nonexpansive map,
Thus, . It follows from Mazur’s lemma that the pair is compact and clearly is convex. Since , we get . Hence,
Analogously, , and so T is cyclic on . It follows from Theorem 40 that there exists a point with , and the result follows. □
Theorem 43
([83], Theorem 4.1). Let be a bounded, closed, and convex pair in a strictly convex Banach space X such that . Furthermore, let be a noncyclic relatively nonexpansive map. If T is compact, then T has a best proximity pair.
Proof.
We assume and . Then . Moreover, , so:
Analogously, . Therefore, T is noncyclic on . On the other hand, from Lemma 2 is compact and convex in a strictly convex Banach space X. By Theorem 41 that there exists with:
that is, is a best proximity pair for the map T. □
Notation. Let be a pair in a normed linear space X and be a cyclic (noncyclic) map. The set of all nonempty, bounded, closed, convex, proximinal, and T–invariant pairs with is denoted by . Notice that may be empty, but in particular if is a weakly compact and convex pair in a Banach space X and T is cyclic (noncyclic) relatively nonexpansive, then (see [84,85] for more details).
Definition 20
(Gabeleh-Markin, (2018) [83]). Let be a convex pair in a Banach space X and μ an MNC on X. A map is said to be a cyclic (noncylic) condensing operator if there exists such that for any ,
Definition 21
(Gabeleh-Vetro, (2019) [86]). Let be a convex pair in a Banach space X and μ be an MNC on X. A map is said to be a cyclic (noncyclic) generalized condensing operator provided that T is cyclic (noncyclic) map and for any there exist and such that:
Notation. Let denote the set of all functions such that:
Definition 22
(Gabeleh-Moshokoa-Vetro, (2019) [87]). Let be a convex pair in a Banach space X and μ be an MNC on X. A map is said to be a noncyclic (cyclic) φ-condensing operator for some provided that for any we have:
Example 17.
Let be a convex pair in a Banach space X such that B is compact and α is the Kuratowski measure of noncompactness on X. Assume that is a cyclic maps so that is contraction with the contraction constant . Then T is a cyclic condensing operator.
Proof.
Suppose is a nonempty, bounded, closed, convex, and proximinal pair, which is T-invariant and . Since B is compact, and so,
and the result follows. □
We recall that in a metric space is be proximal compactness ([88]) provided that every net of satisfying the condition that , has a convergent subnet in .
Example 18.
Let be a convex and a proximal compactness pair in a Banach space X and μ be a measure of noncompactness on X. Then, every cyclic relatively nonexpansive map is a condensing operator.
Proof.
Suppose is a bounded, closed, convex, and proximinal pair, which is T–invariant and . We prove that is a relatively compact pair. Let be a sequence in . Since the is proximinal, there exists a sequence in such that for all . Then,
Since is a proximal compactness pair, the sequence has a convergent subsequence which implies that is relatively compact. Therefore, , which concludes that T is a condensing operator for any . □
9. Existence Results
In this section, we present some existence theorems of best proximity points for the aforesaid classes of condensing operators, which are new extensions of Darbo’s fixed point problem.
Theorem 44
([83]). Let be a bounded, closed, and convex pair in a Banach space X such that and μ is an MNC on X. Suppose is a cyclic relatively nonexpansive map, which is condensing in the sense of Definition 21. Then, T has a best proximity point.
Proof.
Note that is a closed, convex, and proximinal pair, which is T-invariant because of the fact that T is a cyclic relatively nonexpansive map. Let be such that and suppose is a family of all nonempty, closed, convex, proximinal, and T-invariant pairs such that . Then, . Put:
and define and . Thus and . Moreover,
that is, T is cyclic on . Besides, if , then , where for all for which , . Since is proximinal, there exists so that for all . Now, if , then and we have:
Therefore, . Similarly, and so is proximinal. Hence, . It follows from the definition of that and . On the other hand, since T is a condensing operator, we have:
This implies that . Thereby, is a compact and convex pair with such that is a cyclic relatively nonexpansive map. Now from Theorem 42, we conclude that T has a best proximity point. □
In the case that T is noncyclic in the above theorem, we need the strict convexity of the Banach space X.
Theorem 45
([83]). Let be a bounded, closed, and convex pair in a strictly convex Banach space X such that and μ is an MNC on X. If is a noncyclic relatively nonexpansive map, which is condensing in the sense of Definition 21, then T has a best proximity pair.
Proof.
We note that is closed, convex, and proximinal, which is T-invariant. Let be such that and suppose is a family of all nonempty, closed, convex, proximinal, and T-invariant pairs such that . Then, . Put,
and set and . Thus, and . Further,
Therefore, T is noncyclic on . Moreover, if , then , where for all for which , . In view of the fact that is proximinal, there exists so that for all . Now, if we define , then and:
Hence, . By a similar argument, we can see that , that is, is a proximinal pair. This concludes that and by the definition of we must have and . Now, since T is a condensing operator,
Thereby, , and so, is a compact and convex pair with and that is a noncyclic relatively nonexpansive map. Now the result follows from Theorem 43. □
We now present some extensions of Theorem 44 and Theorem 45.
Theorem 46
([86]). Let be a bounded, closed, and convex pair in a Banach space X such that and μ be an MNC on X. Let be a cyclic relatively nonexpansive map which is Meir–Keeler condensing. Then, T has a best proximity point.
Proof.
Put and , and for all define:
We now haveL
Thus, and so . Continuing this process, and by induction, we conclude that . Similarly, we can see that for all . This implies that:
Hence, is a decreasing sequence of nonempty, closed, and convex pairs in . Moreover,
Thereby, for all the pair is T-invariant. On the other hand, if is a proximal pair, then:
We shall show by induction that the pair is proximinal for all . It is obvious if . Suppose that is proximinal. Let be an arbitrary element. Then with where , and . The proximinality of the pair implies that for all there exists such that . Put . Then and:
and so the pair is proximinal. We now consider the following possible cases.
If for some , then:
is a compact and cyclic relatively nonexpansive map. Now, from Theorem 42, the result follows.
Assume that for all . Put . Since T is a cyclic Meir–Keeler condensing operator, there exists such that:
Further, for all we have:
Thus, is a decreasing sequence of positive real numbers. Assume that . We claim that . Suppose the contrary. Then there exists such that . Again, using the fact that T is a cyclic Meir–Keeler condensing operator, we conclude that:
which is a contradiction. Therefore,
Set:
Then the pair is compact. It is also convex and T–invariant with . This ensures that T has a best proximity point. □
Theorem 47
([86]). Let be a weakly compact and convex pair in a Banach space X and μ be an MNC on X. Let be a cyclic relatively nonexpansive map which is a generalized condensing operator in the sense of Definition 20. Then T has a best proximity point.
Proof.
Note that . Put:
By induction, we show that T is cyclic on for all . Since ,
Similarly, we can see that , that is, T is cyclic on . Now, suppose T is cyclic on for some . Then and so which implies that:
Equivalently, we can see that , which ensures that T is cyclic on . Besides,
which concludes that the sequence is decreasing and, similarly, we can see that the sequence is also decreasing. Now, let be such that . Since T is cyclic relatively nonexpansive, and:
Thus, for all . Again, by mathematical induction, we assert that any pair is proximinal. We note that the pair is proximinal. Let be a proximinal pair. We consider the following observations:
•The pair is proximinal.
Proof.
Let be an arbitrary element. Then, for some , where for all . Since is proximinal, for all there exists an element for which . Put . Clearly, and we have:
and the result follows. □
•The pair is proximinal.
Proof.
Let . Then there is a sequence in such that . Since is proximinal, for any there exists a point such that:
By the fact that is weakly compact, there exists a subsequence of the sequence , which converges weakly to a point . It now follows from the weakly lower semi-continuity of the norm that:
So, the pair is proximinal. □
Therefore, is a descending sequence in . Set:
Since T is a cyclic generalized condensing operator, there exist and such that . Note that is a weakly compact, convex, and proximinal pair and that is cyclic. From the above arguments, we can find a positive integer such that:
Continuing this process, there exists such that:
In view of the fact that , we must have . Now, if we set:
then is a nonempty, convex, compact, and T-invariant pair with . Hence, from Theorem 42, we obtain the existence of a best proximity point for the map T, and this completes the proof.
The noncyclic version of Theorem 47 can be reformulated as below.
Theorem 48.
Let be a weakly compact and convex pair in a strictly convex Banach space X and μ be an MNC on X. Let be a noncyclic relatively nonexpansive map, which is a generalized condensing operator in the sense of Definition 21. Then, T has a best proximity pair.
Proof.
As in the proof of Theorem 47, let and for all . Since T is noncyclic, , and so:
Similarly, , that is, T is noncyclic on . Continuing this process, and by induction, we can see that T is noncyclic on for all . For all we have:
Moreover, by an equivalent discussion of Theorem 42, we conclude that is a proximinal pair with for all . Hence, is a descending sequence of nonempty, weakly compact, convex, T-invariant, and proximinal pairs and so its even subsequence, that is, is a member of . By a similar manner of Theorem 42 if we define:
then is a nonempty, compact, convex, and T-invariant pair in a strictly convex Banach space X and so Theorem 43 guarantees the existence of a best proximity pair for the map T. □
Theorem 49
([87]). Let be a bounded, closed, and convex pair in a Banach space X such that is nonempty and μ is an MNC on X. Let be a cyclic relatively nonexpansive map, which is φ–condensing in the sense of Definition 22 for some . Then, T has a best proximity point.
Proof.
For all define:
where, and . Then we have:
and so, which implies that:
Continuing this process, we obtain: . We also have:
and hence, . Thus,
Then by induction we conclude that: for all . Therefore,
Thereby, is a decreasing sequence consisting of closed and convex pairs in . Furthermore, for all we have:
So, we deduce that is T-invariant. Let be such that . Then, and by the fact that T is relatively nonexpansive, we have:
We can see that is also proximinal for all . Notice that if:
then the result follows from Theorem 42. So, we assume that for all . Then, we obtain for all . Since T is cyclic -condensing, for all we have:
Consequently,
If we set and then is nonempty, closed, convex, and T–invariant with for which we have . Hence, T has a best proximity point. □
Theorem 50
([87]). Let be a bounded, closed, and convex pair in a strictly convex Banach space X such that is nonempty and μ is an MNC on X. Let be a noncyclic, relatively nonexpansive map, which is φ-condensing in the sense of Definition 22. Then, T has a best proximity pair.
Proof.
Note that is closed, convex, and proximinal. Let . Then, there exists such that . Since T is relatively nonexpansive, , and so . Thus, . Similarly, , which implies that is T-invariant. Set and and for all define:
Then, we have:
Continuing this process and by induction we obtain for all . Equivalently, for all . Suppose that there exists for which . Then, is a compact pair. Moreover, we have:
A similar argument implies that and so, T is noncyclic relatively nonexpansive on , where is a compact and convex pair in a strictly convex Banach space X. Thus, from Theorem 43, T has a best proximity pair and we are finished.
So, we assume that: for any . If there exist with such that then, by the fact that the sequence is a decreasing sequence, we have and so, which leads to . Hence which is a contradiction, and so
Also, for the pair with we have for all , because of the fact that T is noncyclic relatively nonexpansive. >From the definition of the pair we obtain which implies that
Now suppose that . Then where for all such that and . Since is proximinal, for all there exists such that and so . Put . Then and:
Therefore, the pair is proximinal. Using a similar discussion, we can see that the pair is proximinal for all . Thus, is a nonempty, bounded, closed, convex, and proximinal pair, which is T-invariant. Since T is noncyclic -condensing, for all we have:
Then, is a decreasing sequence and bounded below, so there exists a real number such that . We claim that . Suppose the contrary. Thus for all we have:
The above inequality yields . In view of the fact that , we conclude that which is impossible. Hence,
So the pair is nonempty, closed, and convex, which is T-invariant, where and . Furthermore, and it is easy to check that is proximinal. On the other hand, , which ensures that the pair is compact. Finally, the result follows from Theorem 43. □
At the end of this section, we give the following existence theorems which were recently presented in [89] as generalizations of Sadovskii’s fixed point problem.
Theorem 51
([89]). Let be a bounded, closed, and convex pair in a Banach space X such that and μ be an MNC on X. Let be a cyclic relatively nonexpansive map such that for any we have:
Then, T has a best proximity point.
Proof.
Let denote a family of all nonempty, closed, convex proximinal and T-invariant pairs . Then . Set:
and assume that . Then, clearly, is a nonempty pair for which .
Note that if , then and so by Theorem 42, T has a best proximity point in . Suppose that . This follows that . Since and , we have:
Let us now define the sets and . Thus, and . Moreover, and , that means T is cyclic on . Furthermore, if , then, , where for all for which , . Since is proximinal, there exists so that for all . Now, if , then, and we have . Therefore, . Similarly, and so, is a proximinal pair. Hence, . Considering the definition of , it follows that and . Therefore,
which is a contradiction. □
Theorem 52
([89]). Let be a bounded, closed, and convex pair in a strictly convex Banach space X, such that is nonempty and μ be an MNC on X. Let be a noncyclic relatively nonexpansive map such that for any we have:
Then, T has a best proximity pair.
Proof.
Let such that and denote the family of all nonempty, closed, convex, proximinal and T–invariant pairs such that and and . Then . Let:
and define . Then, clearly, is a nonempty pair such that . If then and the result follows from Theorem 43.
Suppose that . It follows that . Since and , we have:
Set and . Thus, and . Moreover, , . Therefore, T is noncyclic on . Thus, if , then , where for all for which and . From the fact that is proximinal, there exists such that for all . Now, if we define , then and . Hence, . By similar argument, and hence, is a proximinal pair. Further, from the definition of , we have and . Therefore, we have . Thus:
That is, which is contradiction. □
10. Application to a System of Differential Equations
In this section, we present some applications of the existence results of best proximity points in order to establish the optimal solutions for various systems of differential equations.
Application A.
We begin with the following extension of the Mean-Value Theorem.
Theorem 53
([8]). Let J be a real interval, X be a Banach space, and be a differentiable map. Let with . Then:
Now, we apply the existence theorems of best proximity points to solve the systems of initial-value problems in Banach spaces. To this end, we introduce the following notion.
Definition 23.
Let a and b be real positive numbers, I be the real interval and be closed balls in a Banach space X, where is a real number and . Assume that and are continuous maps. Consider the following system of differential equations:
defined on a closed real interval for some real positive number h. Let us consider the Banach space of continuous maps from J into X with the supremum norm and define and . In this case, for any we have:
and so, . Let:
be an operator defined as:
Here, we state the following existence theorem.
Theorem 54
Proof.
Clearly, is a bounded, closed, and convex pair in and T is cyclic on . We now prove that is a bounded and equicontinuous subset of . Suppose and . Then we have:
that is, is equicontinuous. Equivalently, we can see that is also bounded and equicontinuous. Now, from the Arzela–Ascoli theorem, we conclude that the pair is relatively compact. In the following, we verify that T is a condensing operator. Let be nonempty, closed, convex, and proximinal pair, which is T-invariant such that . From ([7], Theorem 2.11) we deduce that:
On the other hand, using Theorem 53 we obtain:
and thus,
Since , we conclude that T is a condensing operator. Finally, we show that T is cyclic relatively nonexpansive. From the assumptions of theorem, for any we have:
and thereby, . Now the result follows from Theorem 44. □
Application B.
In what follows, let be positive real numbers with . For a given real number and a Banach space X, we consider the Banach space of continuous maps from into X, endowed with the supremum norm. Furthermore, let and be closed balls in X, where . Assume that and , with , continuous maps, and is -invariant. Here, we consider the problem:
where the integral is the Bochner integral. Let and define and . Clearly, , is a bounded, closed, and convex pair in . Thus, for any , we have , and so,
Now, let be the operator defined as:
We show that T is a cyclic operator. Indeed, for we have:
where , Now, if we assume , we get for all and so . The same argument shows that implies .
Taking into account the above notions and notation, for , the hypotheses are as follows:
- Let be an MNC on such that for any there exists such that for any bounded implies:
- also,
We recall another extension of the Mean–Value Theorem, which we arrange according to our notation and further use.
Theorem 55.
Let I, J, X, , and with be given as above. Let with . Then:
with .
We say that is an optimal solution for the system (64) provided that , that is, z is a best proximity point of the operator T in (65). Then we give the following result.
Theorem 56
([86]). If the hypotheses , and are satisfied, then the problem (64) has an optimal solution.
Proof.
Since T is a cyclic operator, it follows trivially that is a bounded subset of . So, we prove that is also an equicontinuous subset of . Suppose and . We observe that:
that is, is equicontinuous. The same argument is valid for and hence, to avoid repetition, we omit the details. Moreover, by use of the Arzelà–Ascoli theorem, it follows that the pair , is relatively compact. Here, we show that T is a Meir–Keeler condensing operator. Let be a closed, convex, and proximinal pair, which is T-invariant and such that . Using a generalized version of the Arzelà–Ascoli theorem (see Ambrosetti [90]) and hypothesis , we get:
So, in view of (66), it follows that:
We conclude that T is a Meir–Keeler condensing operator. The last step of the proof is to show that T is cyclic relatively nonexpansive. Indeed, for any we have:
and thereby, . All the hypotheses of Theorem 46 hold and so the operator T has a best proximity point , which is an optimal solution for the system (64). □
Application C.
Let be positive real numbers with . For a given real number and a Banach space X, we consider the Banach space of continuous maps from into X, endowed with the supremum norm. Furthermore, let and be closed balls in X, where . Assume that and are continuous maps. So, we recall the problem:
Let and define , . Clearly, is a bounded, closed, and convex pair in . Moreover, for any we have , and so, .
Now, let be the operator defined as:
We show that T is a cyclic operator. Indeed, for we have:
where (analogously, ). Now, if we assume , we get for all , and so, . The same argument shows that implies .
Taking into account the above notions and notation, for , the hypotheses are as follows:
- There exists such that for any ;
- , for all .
We recall the following extension of the Mean–Value Theorem, which we arrange according to our notation and further use.
Theorem 57.
Let I, J, X, , be given as above. Let with . Then:
Furthermore, we need the next generalization of the Arzela–Ascoli theorem.
Theorem 58
([90]). Let X be a Banach space, compact and a bounded and equicontinuous set. Then .
We say that is an optimal solution for the system (67) provided that , that is, z is a best proximity point of the operator T in (68). Then, we give the following result.
Theorem 59
([86]). If the hypotheses , and are satisfied, then the problem (67) has an optimal solution.
Proof.
Since T is a cyclic operator, it follows trivially that is a bounded subset of . So, we prove that is also an equicontinuous subset of . Suppose and . We observe that:
that is, is equicontinuous. The same argument is valid for and hence, to avoid repetition, we omit the details. Here, we show that T is a generalized condensing operator. Let be a closed, convex, and proximinal pair, which is T-invariant and such that . By Theorem 58 and hypothesis , we obtain:
We conclude that T is a generalized condensing operator. The last step of the proof is to show that T is cyclic relatively nonexpansive. Indeed, for any we have:
and thereby, . All the hypotheses of Theorem 47 hold and so the operator T has a best proximity point , which is an optimal solution for the system (63). □
An application of a coupled measure of noncompactness can be found in the recent paper [91].
11. Concluding Remarks
We gave a survey of measures of noncompactness and their most important properties. Furthermore, we discussed some fixed point theorems of Darbo type.
First, we applied measures of noncompactness in characterizing classes of compact operators between certain sequence spaces, and in solving infinite systems of integral equations in some sequence and function spaces.
Second, we included some recent results related to the existence of best proximity points (pairs) for some classes of cyclic and noncyclic condensing operators in Banach spaces equipped with a suitable measure of noncompactness.
Finally, we discussed the existence of an optimal solution for systems of integro-differentials.
It is worth mentioning that measures of noncompactness play an important role in nonlinear functional analysis. They are important tools in metric fixed point theory, the theory of operator equations in Banach spaces, and the characterizations of classes of compact operators. They are also applied in the studies of various kinds of differential and integral equations.
Author Contributions
All authors made equal contributions to the paper. All authors have read and agreed to the published version of the manuscript.
Funding
This research did not receive any funding.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
Not applicable.
Conflicts of Interest
The authors declare no conflict of interest.
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