1. Introduction and Preliminaries
Since Banach [
1] proved his famous theorem in 1922, many hundreds of researchers have tried generalizing this result. The generalization went primarily in two main directions. One is to generalize the contractive condition and the other is to alter the axioms of metric space. Thanks to the second condition, new classes of so-called generalized metric spaces (vector-valued metric spaces) have emerged, such as, cone metric spaces (
is a vector), then
b-metric spaces, partial metric spaces, metric–like spaces, and many others. Some researchers have combined these two directions. Such is the recent work of Altun and Olgun [
2] in which they combine Wardowski’s approach from 2012 [
3] and the cone of metric space introduced by Đ. Kurepa [
4] in 1933. On the other hand, in 1964, A. I. Perov [
5] introduced special cone metric spaces called generalized metric space or vector-valued metric space. For more details on this subject, see ([
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26]), and regarding some recent results pertinent to
F-contraction mappings, see [
27,
28,
29,
30].
The definitions of Kurepa and Perov are in fact the same, except that, in the Perov case, the vector space is taken as the Banach space where m is a given natural number. The axioms of the cone metric and the vector-valued metric space are based on three well-known conditions, present also in the case of ordinary metric space of Frechét, but imposed on cone metric and vector-valued distance, respectively.
It should be noted, as it is useful for young researchers, that, according to many results, vector-valued metric spaces, i.e., cones of metric spaces in the sense of Perov, do not differ from ordinary metric spaces. Moreover, many results of fixed point theorems in relation to known contractive conditions are equivalent to those in ordinary metric spaces. For details, see [
10,
12,
17].
Thus, for example, it is easy to see that, for each contractive condition of the Banach, Kannan, Chatterjee, Zamfirescu, or Hardy–Rogers type, the generalized metric space of Perov’s type corresponds to the contractive conditions in ordinary metric space. Using this fact, in this section, we will show that the recent results of Altun and Olgun are equivalent to the corresponding results in ordinary metric space.
Recently, in 2020, Altun and Olgun introduced and proved the following:
Definition 1 ([
2], Definition 1)
. Let be a vector-valued metric space and be a map. If there exist and such that:for all with then T is called a Perov type F-contraction. From [
2], it follows that
if it satisfies the next properties.
(F1) F is strictly increasing in each variable, i.e., for all such that and, then,
(F2) For each sequence,
of
for each
where:
(F3) There exists
such that
for each
where:
Authors in [
2] denote by
the set of all functions
F satisfying
(F1)–
(F3).
Theorem 1. ([
2], Theorem 3)
. Let be a complete vector-valued metric space and be a Perov type F-contraction. Then, T has a unique fixed point. Remark 1. It is not difficult to notice that, in the case , the vector valued metric space is actually an ordinary metric space, while the properties(F1)–(F3)are equal to those introduced by Wardowski in his work of 2012 [3]. Note also that it is sufficient to consider only the case , i.e., Banach space where the norm is Euclidean, and it is ordered by the cone and . Cases add only the burden of writing but do not change the essence of the results. Thus, in all announced articles for vector-valued metric spaces of Perov’s type, can be written as an ordered pair of non-negative real numbers and . The functions are in fact pseudometrics defined on the non-empty set X (for more details, see [16], Proposition 2.1). Hence, if
and
is a generalized metric i.e., vector–valued metric, then
, where all
are pseudometrics. In addition, it is worth knowing that at least one
is an ordinary metric (see [
16], Proposition 2.1). Furthermore, if
, then
, where
for all
It is well known that vector space
is ordered by:
if and only if
for all
In addition, in
, the following three standard norms are given with
It is easily seen that each of these norms is monotone with respect to the partial ordering defined by
if and only if
for all
if we restrict to vectors in
with non-negative coordinates, i.e.,
Hence, we may infer that, if
is a vector-valued metric spaces, and, for
and
then each
is a metric in
2. Main Results
Now, according to the previous results, the contractive condition (1.1) from [
2] became:
where
for all
It is clear that
satisfies
(F1)–
(F3) from [
3] for all
Since at least one of
is an ordinary metric on
X, the proof of Theorem 3 from [
2] follows.
However, Theorem 3 from [
2] is true if
satisfies only the property
(F1). Indeed, this follows from ([
18], Corollary 2) or from ([
22], Theorem 2.1).
In the sequel of this section, we will try to generalize, complement, unify, enrich, and extend all results recently established in [
2]. First, we introduce and prove the following:
Definition 2. Let be a generalized metric space. A mapping is called an F-contraction of the Hardy–Rogers type if there exists and strictly increasing mapping such thatholds for any with where are non-negative numbers, and Theorem 2. Let be a complete vector-valued metric space. Then, each F-contraction of Hardy–Rogers type defined in it has a unique fixed point and, for every , the sequence converges to
Proof. Since
and
then the inequality (9) became
where
According to Proposition 2.1 from [
16], it follows that there exists
such that the mapping
is the ordinary metric. Hence, now we have obtained
where
is a complete metric space,
are non-negative numbers,
and
Furthermore, by Theorem 5 from [
18], the condition (11) yields that
T has a unique fixed point in
The theorem is proved. □
Remark 2. It is obvious that Theorem 2 and Theorem 5 from [18] are equivalent. In addition, our Theorem 2 is a proper generalization of main results (Theorem 3) from [2]. Indeed, putting in (9) , Theorem 3 follows from [2]. Furthermore, since we use only the property (F1) in Theorem 2, we get a second direction of generalization of main results from [2]. In our approach, the method of the system of inequalities (11) shows that many (and maybe all) well-known results in the setting of ordinary metric spaces with known contractive conditions (see [31,32,33]) are equivalent to the corresponding ones in generalized metric spaces of Perov’s type. In the sequel, we shall consider the main result of A. I. Perov ([
5], Theorem 3). In 1964, A. I. Perov proved the following result:
Theorem 3. Let be a complete generalized metric space, and a matrix convergent to zero. If, for any we haveThen, the following statements hold: 1. f has a unique fixed point
2. The Picard iterative sequence converges to for all
3.
4. if
satisfies the condition
for all
and some
then, for the sequence
the following inequality
is valid for all
It is worth mentioning that the statements
3. and
4. are not given in [
5]. For details, see [
7].
Now, we give our proof of Perov’s famous theorem. We will use the following:
Proof. Each matrix
is in fact a bounded linear operator on the Banach space
, where
is one of all equivalent norms on a finite-dimensional vector space
. Otherwise, on
, all norms are equivalent. Thus, we take the matrix
A as a bounded linear operator in space
. Using its coordinate notation having the form
, we have that
and because
with
Therefore, the condition (12) reduces to a system of
m inequalities of the form
Since, there exists such that the mapping is the ordinary metric, then is a complete metric space. The results are further yielded by the Banach contraction principle for the mapping i.e., there is a unique fixed point for the mapping The proof of Perov’s theorem is finished. □
The proofs of points 2, 3, and 4 are immediate consequences of the proof for 1.
As our first significant applications of Theorem 1 and our new Theorems 2 and 3 are new contractive conditions in the setting of generalized metric spaces in Perov’s sense, they complement some very well known contractive conditions in the setting of ordinary metric spaces as well as cone metric spaces ([
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
31,
32,
33]).
Corollary 1. Let be a complete generalized metric space in the sense of Perov and be a self mapping. Suppose that there exists such that, for all , the following inequalities hold true:Then, in each of these cases, there exists such that and, for every , the sequence converges to Proof. Since all of the functions are strictly increasing on the proof immediately follows by Theorem 1. In addition, it yields that the proofs for (18), (19), (20) and (21) are corollaries of Theorem 1. In the end, it is worth to noticing that, in all cases (16)–(21), we have:
where for
where are pseudometrics for
where are strictly increasing on for
For example, for the left-hand side of (16), we have:
while, for its right-hand side, it yields
because
where
for
Therefore,
Our second new corollary of Theorems 2 and 3 are the following contractive conditions in the setting of generalized metric spaces of the Perov type:
Corollary 2. Let be a complete generalized metric space in the sense of Perov and be a self mapping. Suppose that there exists such that, for all , the following inequalities hold true:where while are non-negative numbers: Then, in each of these cases, there exists such that and, for every , the sequence converges to Proof. Take in Theorem 2. respectively. Because every F is strictly increasing on the result follows according to Theorem 2. □
In the sequel, we present an example, supporting our results. This example shows that Theorem 3 from [
2] cannot be applied. In addition, the mapping
T in this example is not a Perov type contraction.
Example 1. Let be a complete vector-valued metric space where and is given by:Define asand by:It is evident that F is strictly increasing mapping, but in the sense of [2]. Now, we claim that T is a Perov type contraction with For this, we have to show thatfor all Two cases are possible: Case 1. Then, (31) became:
or equivalently
i.e.,
which holds true.
Case 2. In this case, (31) became:
or equivalently
that is,
The last condition is evidently true for all
Remark 3. The function does not satisfy (F3) from ([2], p. 3). Indeed, for all and This shows that our result is a genuine generalization of Theorem 3 from [2]. In addition, it is easy to check that the mapping T in the above example is not a Perov contraction. Moreover, it is not also a Banach contraction in the sense of [15]. On the other hand, each result in the setting of vector-valued metric space is equivalent to the corresponding one in ordinary metric space. The next remark is maybe the most significant for results in the vector-valued metric spaces. Namely, in fact, results are the same for each
This means that we can suppose that
In this case,
contraction
in Perov’s sense has the following form: there exists
such that, for
,
or equivalently
is yielded, where
If is a generalized metric space (or vector-valued metric space), then one could join to the same group the following new classes of generalized metric spaces as well:
generalized partial metric space;
generalized metric like space;
generalized b-metric space;
generalized partial b-metric space;
generalized b-metric like space.
How do these arise? Take a natural number and some of the following spaces:
partial metric space;
metric like space;
b-metric space;
partial b-metric space;
b-metric like space.
if we denote with
the distance of any of above spaces and with
:
where
is such that at least one of them is different from 0.
Then, is called generalized partial metric (resp. generalized metric like generalized b-metric, generalized partial b-metric, and, eventually, generalized b-metric like).
Example 2.
Let where is the set of real continuous functions on and for all This is an example of metric-like space that is not a partial metric space.
Let Then, where is an example of generalized metric like space (with ) and
In order to show some application of a generalized metric space, we actually have to do the following: on some given generalized metric space, we should formulate (or find) a theorem, then use it to determine whether, for instance, a fractional differential equation or an ordinary algebraic equation or similar have solutions.
Definition 3. Let be a map of b-metric like space onto itself. Then, it is called generalized Jaggi contraction if there exists a strictly increasing map and such that, for all with and holds wherewith and Now, we have obtained a positive result whose proof is performed routinely.
Theorem 4. Let be a 0-complete b-metric like space and a generalized Jaggi -contraction map. Then, has a unique fixed point, say , and, if is a -continuous map, then, for any , the sequence converges to
With the help of the previous definition and its corresponding theorem, we will show the application of a generalized metric space to the solution of some fractional differential equations.
3. Applications in Nonlinear Fractional Differential Equations
Given the function
, we say that its Caputo derivative (see [
34,
35,
36])
of order
is defined as
where
denotes the integer part of the positive real number
, and
is the gamma function. For recent examples of fractional order differential equations involving Caputo derivatives, see [
37,
38].
The scope of this section is to apply the previous theorem to prove the existence of solutions for nonlinear fractional differential equations of the form
with boundary conditions
where
and
is the set of all continuous functions on
in
, while
is a continuous function. The associated Green’s function to ([
34,
35,
36,
39]) is given by
We shall now state and prove the main result of this section.
Theorem 5. Consider the nonlinear fractional differential equation ([34,35,36,39]). Let be a given map and a continuous function. Suppose also that all the following statements hold true:
(i) There exists
such that
for all
where the map
is defined as:
(ii) There exists
such that for all
for all
and
with
, where
with
and
(iii) For each and yields
(iv) For each if is a sequence in such that in and for all then for all
Then, problem ([
34,
35,
36,
39]) has at least one solution.
Proof. Let
be endowed with a b-metric like
for all
Now, define a generalized b-metric like on
with
where
m is a given natural number larger than or equal to 2.
It is easy to show that is a 0-complete generalized b-metric like space with parameter .
It is obvious that
is a solution of ([
34,
35,
36,
39]) if and only if
is a solution of
for all
Therefore, the problem ([
34,
35,
36,
39]) can be considered as the problem of finding an element
that is the fixed point of operator (map
). To that end, let
such that
for all
. According to (iii), we have that
Then, using hypotheses (i) and (ii), we obtain the following inequalities:
If we now take
for any
, then
satisfies all conditions of the theorem, and we obtain
that is,
The above is clearly equivalent to
where
with
and
Applying the above theorem now with
, we conclude that map
has a fixed point, which in turn shows that problem ([
34,
35,
36,
39]) has at least one solution. □