Abstract
In this paper, we introduce the strong b-suprametric spaces in which we prove the fixed point principles of Banach and Edelstein. Moreover, we prove a variational principle of Ekeland and deduce a Caristi fixed point theorem. Furthermore, we introduce the strong b-supranormed linear spaces in which we establish the fixed point principles of Brouwer and Schauder. As applications, we study the existence of solutions to an integral equation and to a third-order boundary value problem.
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1 Introduction
Let X be a nonempty set and \({\mathbb {R}}_{+}\) be the set of all nonnegative real numbers. A semimetric is a distance function \(d:X\,{ \times }\, X \,{ \rightarrow }\, {\mathbb {R}}_{+}\) that satisfies two axioms: \((d_{1}) \): \(d(x,y)\,{ = }\,0\) if and only if \(x\,{ = }\,y\); \((d_{2}) \): \(d(x,y)\,{ = }\, d(y,x)\) for all \(x,y\,{ \in }\, X\). It is well known that by adding the triangle inequality to the axioms of d it becomes continuous. In 1993, Czerwik [8] investigated a semimetric called b-metric, which satisfies the inequality: \(d(x,y) \le b(d(x,z)+d(z,y))\), where b is a constant in \([1,+\infty )\) and \(x,y,z \,{\in }\, X\). This notion has been studied previously by different authors, for the latest and rather complete bibliography, we refer the reader to the surveys of Berinde and Păcurar [2] and Karapınar [14]. Despite the b-metric is very useful in applications [7, 15, 27], it has a major drawback due to its lack of continuity [26]. In order to overcome this limitation, Kirk and Shahzad proposed a slight modification in the third axiom, see [16, 17].
The suprametric, which was introduced by the author in [3], is a semimetric that fulfill \(d(x,y) \le d(x,z) + d(z,y) + \rho d(x,z)d(z,y)\), where \(\rho \) is a constant in \({\mathbb {R}}_{+}\) and \(x,y,z \,{\in }\, X\). This distance function is very useful to construct projective metrics of Thompson’s type [25], and to prove the existence of solutions to various classes of integral and matrix equations. Very recently, the suprametric has been utilized by Panda et al. [21, 22] to analyze complex valued fractional order neural networks and the existence of a solution of stochastic integral equations.
It is known that the space of p-integrable functions for \(p\in (0,1)\) is a b-metric space, but it is unclear whether it is a suprametric space. The author introduced the b-suprametric [4], which subsume such functional space. Note that the distance function of the b-suprametric is not necessarily continuous [4, Example 2.10], although the continuity is very useful. In order to overcome this drawback here we introduce the strong b-suprametric distance function, a subfamily of the b-suprametric, and shows its continuity.
The objectives of this work are fourfold: (1) To introduce the strong b-suprametric space in which we establish fixed point theorems of Banach and Edelstein types. (2) To prove a variational principle through the Cantor’s intersection theorem, then to derive a Caristi fixed point result via this variational principle. (3) To introduce the strong b-supranormed linear space and to provide the fixed point principles of Brouwer and Schauder in such linear space. (4) To provide new sufficient conditions for the existence of a solution to an integral equation, via a Chebyshev type inequality, where the integral operator involved is not necessarily Lipschitzian with respect to a metric. Then, we show the existence of a unique solution to a third-order boundary value problem.
2 Strong b-Suprametric Spaces
Here and below, the symbols \({\mathbb {R}}\) and \({\mathbb {N}}\) will denote respectively the set of all real numbers and all nonnegative natural numbers. The symbol \(\textrm{cl}(A)\) stands for the closure of a set A. We first need to recall the b-suprametric spaces from [4].
Definition 1.1
Let (X, d) be a semimetric space and \(b\,{\ge }\,1\), \(\rho \,{\ge }\,0\) be two real constants. The function d is called b-suprametric if:
(\(d_{3}\)) \(d(x,y)\le b \,(d(x,z)+d(z,y))+\rho d(x,z)d(z,y)\) for all \(x,y,z\in X\).
A pair (X, d) is called b-suprametric space if X is a nonempty set and d is a b-suprametric.
In the previous definition, if \(\rho \,{ = }\,0\) we obtain the b-metric [8] and if \(b\,{ = }\,1\) we obtain the suprametric [3]. In the sequel, we focus on the following subclass of b-suprametric space.
Definition 1.2
Let (X, d) be a semimetric space and \(b\,{\ge }\,1\), \(\rho \,{\ge }\,0\) be two real constants. The function d is called strong b-suprametric (sb-suprametric space) if:
- (\(d'_{3}\)):
-
\(d(x,y)\le b \, d(x,z)+d(z,y)+\rho d(x,z)d(z,y)\) for all \(x, y, z \in X\).
A pair (X, d) is called sb-suprametric space if X is a nonempty set and d is an sb-suprametric.
Remark 1.3
From \((d_{2})\), it follows that we also have
- \(d''_{3}\):
-
\(d(x,y)\le d(x,z)+b \, d(z,y)+\rho d(x,z)d(z,y)\), for all \(x, y, z \in X\).
Examples 1.4
-
All suprametric spaces of [3] are sb-suprametric spaces.
-
Let \(X=\{1,2,3\}\) and let \(d:X\times X \rightarrow {\mathbb {R}}_{+}\) be a function defined by:
$$\begin{aligned} d(x,y)=\left\{ \begin{array}{ll} 0,& \quad x=y,\\ 3,& \quad (x,y)\in \big \{(1,2),(2,1)\big \},\\ \frac{1}{2},& \quad \text {otherwise}. \end{array}\right. \end{aligned}$$Then (X, d) is an sb-suprametric space with coefficient \(b=\textstyle \frac{3}{2}\) and \(\rho =8\).
-
Let \(X=C_{+}[0,1]\) of continuous nonnegative functions endowed with
$$\begin{aligned} \delta (x,y)=\sup _{t\in [0,1]}|x(t)-y(t)|(|x(t)-y(t)|+\textstyle \frac{1}{2}),\;\text { for all }x,y\in X. \end{aligned}$$Then \((X, \delta )\) is an sb-suprametric space for \(b=\rho =2\).
Proposition 1.5
Let (X, d) be an sb-suprametric space, then for all \(p, q, s, t\,{\in }\,X\)
Proof
Let (X, d) be an \(sb\)-suprametric space with \(\rho \,{>}\,0\) (the case \(\rho \,{=}\,0\) is trivial). Then,
which implies
A similar argument shows that
which implies (1). \(\square \)
Remark 1.6
Let \(u\,{ \ge }\,0\) and \(\rho \,{ > }\,0\). Assume that a sequence \(\{u_{n}\}\subset {\mathbb {R}}_{+}\) satisfies
then \(u_{n}\) tends to u as \(n\rightarrow \infty \). Otherwise, if \(u_{n}\) does not tends to u there exists \(\varepsilon >0\) such that for all integer \(k>0\), \(n(k)>k\) and \(|u_{n(k)}-u|>\varepsilon \). Then,
which implies that \(u_{n(k)}\) tends to infinity as \(k\rightarrow \infty \), and hence
yields a contradiction.
Remark 1.7
Let \(\{p_{n}\}\) and \(\{q_{n}\}\) be sequences in X such that \(\lim _{n\rightarrow \infty } d (p_{n}, t) \,{=}\,0\) and \(\lim _{n\rightarrow \infty } d (q_{n}, s)\, {=}\, 0\), then by (1) and Remark 1.6, \( \lim \limits _{n\rightarrow \infty } d (p_{n}, q_{n}) = d (s, t), \) and this means that d is continuous.
Let (X, d) be an sb-suprametric space. An open ball and a closed ball centered at \(a\in X\) and of radius \(r>0\), are respectively given by
Proposition 1.8
Let (X, d) be an sb-suprametric space. Then
-
(i)
every open ball is an open set.
-
(ii)
every closed ball is a closed set.
Proof
To see (i), let \(r>0\) and \(a\in X\). For \(y\in B(a,r)\) let
then if \(x\in B(y,r_{1})\),
Thus, \(B(y,r_{1})\subseteq B(a,r)\), and B(a, r) is open.
Now, to see (ii), let \(r\,{ > }\,0\) and \(a\,{ \in }\, X\) and take a sequence \(\{x_{n}\}\) in B[a, r] convergent to some x with respect to d. Then
and as \(n\rightarrow \infty \), we get \(x\in B[a,r]\) which proves that B[a, r] is closed. \(\square \)
As a consequence, we obtain the following propositions.
Proposition 1.9
Let (X, d) be an sb-suprametric space. The family of open balls form a base of a topology on X.
Proof
Let \(u\in B(x,\varepsilon ), B(y,\varepsilon ')\) and choose \(r>0\) so that \((b+\rho r)d(x,u)+r<\varepsilon \) and \((b+\rho r)d(y,u)+r<\varepsilon '\). Then by taking a point \(v\in B(u,r)\), we obtain
which implies that \(B(u,r)\subset B(x,\varepsilon )\cap B(y,\varepsilon ')\). Finally, we conclude by using [10, Lemma I.4.7] and the fact that every \(x\,{ \in }\, X\) is also in \(B(x,\tau )\) for some \(\tau \,{ > }\,0\). \(\square \)
Proposition 1.10
An sb-suprametric space is normal.
Proof
Let (X, d) be an sb-suprametric space. If \(x,y\,{ \in }\, X\) such \(x\,{ \ne }\, y\), then \(U{:}{=}B(x,\frac{d(x,y)}{2})\) and \(V{:}{=}B(y,\frac{d(x,y)}{2\,b+\rho \,d(x,y)})\) are disjoint neighborhoods of x and y respectively. Otherwise, assume that \(U\cap V\ne \varnothing \), so there exists \(z\in U\cap V\). Thus, using that \(d(x,z)<\frac{r}{2}\) and \(d(y,z)<\frac{r}{2\,b+\rho \,r}\) where \(r=d(x,y)\), we obtain
a contradiction, so our claim holds. We conclude therefore that X is Hausdorff.
Let now U and V be disjoint closed sets and let
Define the sets
Then \(U'\) and \(V'\) are disjoint neighborhoods of U and V respectively. \(\square \)
Proposition 1.11
In an sb-suprametric space, if a sequence has a limit it is unique.
Proposition 1.12
The strong b-metric space [16] is normal.
Definition 1.13
Let (X, d) be an sb-suprametric space.
-
(i)
The sequence \(\{x_{n}\}_{n\in {\mathbb {N}}}\) converges to \(x \in X\) iff \(\lim \limits _{n\rightarrow \infty }d(x_{n},x)\,{ = }\,0\).
-
(ii)
The sequence \(\{x_{n}\}_{n\in {\mathbb {N}}}\) is Cauchy iff \(\lim \limits _{n,m\rightarrow \infty }d(x_{n},x_{m})\,{ = }\,0\).
-
(iii)
(X, d) is complete iff any Cauchy sequence in X is convergent.
Remark 1.14
Let \(X{=}C_{+}[0,1]\) be the set of continuous functions \(x:[0,1]{\rightarrow } {\mathbb {R}}_{+}\) endowed with \(\delta \) the sb-suprametric of Examples 1.4. The completeness of \((X,\delta )\) follows from that of (X, d) with \(d(x,y){=}\sup \limits _{t\in [0,1]}|x(t){-}y(t)|\) for \(x,y\in X\).
The next lemma is a direct consequence of Definition 1.13.
Lemma 1.15
In an sb-suprametric space, we have:
-
(i)
A convergent sequence is a Cauchy sequence.
-
(ii)
A Cauchy sequence converges iff it has a convergent subsequence.
-
(iii)
A point \(u\in \textrm{cl}(U)\) iff there is a sequence \(\{u_{n}\}\subset U\) converging to u.
Remark 1.16
If a sequence \(\{x_{n}\}_{n\in {\mathbb {N}}}\) is Cauchy in a complete sb-suprametric (X, d), then there exists \(x_{*}\in X\) such that \(\lim \limits _{n\rightarrow \infty }d(x_{n},x_{*})=0\). By \(d'_{3}\) follows that every subsequence \(\{x_{n(k)}\} _{k\in {\mathbb {N}}}\) converges to \(x_{*}\).
Remark 1.17
Let (X, d) be an \(sb\)-suprametric space. By \(d'_{3}\), we have:
for all \(n \in {\mathbb {N}}\), \(x_{0},\ldots , x_{n} \in X\), where \(d_{i-1}{:}{=}d(x_{i-1},x_{i})\) and \({\textbf{e}}_{i}\) is the ith elementary symmetric polynomial in n variables, that is,
It is easy to see that these polynomials possess the following properties:
Proposition 1.18
Let \(n\in {\mathbb {N}}\) and \({\textbf{e}}_{i}(x_{0},\ldots ,x_{n-1})\) be an elementary symmetric polynomial of index \(0\le i\,{\le }\,n\). Then,
-
(i)
\(x_{k}\mapsto {\textbf{e}}_{i}(x_{0},\ldots ,x_{k},\ldots ,x_{n-1})\) is a nondecreasing function for \(0\,{\le }\,k\,{\le }\,n\).
-
(ii)
\({\textbf{e}}_{i}(ax_{0},\ldots ,ax_{n-1}) = a^{i} {\textbf{e}}_{i}(x_{0},\ldots ,x_{n-1})\) for all \(a\in {\mathbb {R}}_{+}\).
A covering of a set U in X is a family of open sets whose union contains U. A set \(U \subseteq X\) is called compact if and only if every covering of U by open sets in X contains a finite sub-covering. A subset U of a topological space X is sequentially compact, if every sequence of points in U has a subsequence converging to a point of X. A set \(N \subset X\) is called an \(\varepsilon \)-net for a set \(U \subseteq X\) (\(\varepsilon >0\)), if there exists \(x_{\varepsilon }\in N\) for every \(x \in U\) such that \(d(x, x_{\varepsilon }) < \varepsilon \). Next, we provide an extreme value theorem in sb-suprametric spaces.
Theorem 1.19
Let (X, d) be an sb-suprametric space. Let U be a compact subset of X and \(f:U\rightarrow {\mathbb {R}}\) be a continuous function. Then,
-
(i)
f is bounded on U,
-
(ii)
f attains its supremum and its infimum.
Proof
The proof is similar to that of [18, Chap. 5. Theorem 1] (see also [10, Lemma I.5.8]). \(\square \)
The compactness is discussed in the rest of this section.
Theorem 1.20
For a set U in an sb-suprametric space X to be compact, it is necessary, and in the case of completeness of X, sufficient that there is a finite \(\varepsilon \)-net for the set U for every \(\varepsilon > 0\).
Proof
The proof is similar to that of [18, Chap. 5. Theorem 3], except for the value of the distance between any two points, which does not exceed \(\varepsilon _{n}\left( 1+b+\rho \varepsilon _{n}\right) \). \(\square \)
Corollary 1.21
A subset U of an sb-suprametric space is compact if and only if it is closed and sequentially compact.
Proof
The proof is exactly similar to that of [10, Theorem I.6.13]. \(\square \)
Corollary 1.22
Let (X, d) be a sb-suprametric space and \(U\subseteq X\). If U is compact, then it is bounded.
Proof
Let \(S_{n}=\{x_{1},\ldots ,x_{n}\}\) be a 1-net for U. Let \(a\in X\), \(x\in X\) and \(x_{i}\in S_{n}\) for \(i=1,\ldots ,n\). Then,
\(\square \)
3 Banach and Edelstein Fixed Point Theorems
We start by presenting a Banach fixed point result in sb-suprametric spaces.
Theorem 2.1
Let (X, d) be a complete sb-suprametric space and \(f:X\rightarrow X\) be a given mapping. Assume that there exists \(c\in [0,b^{-1})\) such that for all \(x,y\in X\),
Then f has a unique fixed point and \(\big \{f^{n}x\big \}_{n\in {\mathbb {N}}}\) converges to it for all \(x\in X\).
Proof
Assume that \(\rho >0\), since the case \(\rho =0\) is treated in [8] (see also [13]). Let \(x_{0}\in X\) and define the sequence \(\{x_{n}\}\) by \(x_{n} = f^{n}x_{0}\) for all \(n\in {\mathbb {N}}\), where \(f^{n}\) is nth iterates of f. For simplification let us introduce the notation: \(d_{i,j}{:}{=}d(x_{i},x_{j})\), where \(i,j\in {\mathbb {N}}\). Now, from (4), we get
Hence, \(\{d_{n,n+1}\}\) is decreasing sequence and for all \(k\in {\mathbb {N}}\), we have
So \(\lim \limits _{n\rightarrow \infty }d_{n,n+1}=0\), and therefore there exits \(k\in {\mathbb {N}}\) such that for all \(n\ge k\),
Next, we shall prove that the sequence \(\{x_{n}\}\) is Cauchy. Using \(d'_{3}\) and (6), and for sufficiently large integers p, q such that \(q>p> k\) it follow that
where
By combining the previous inequalities, we obtain
Using (6) in all terms of the sum, we obtain by induction
Now, since \(c\in [0,b^{-1})\), then
Using d’Alembert’s criterion of convergence of real series, we deduce that \(\sum \limits _{i=0}^{\infty } u_{i}\) converges, where
We conclude \(d_{p,q}\rightarrow 0\) as \(p,q \rightarrow \infty \), so the sequence \(\{x_{n}\}\) is Cauchy. Thus, it follows that \(\{x_{n}\}\) converges to some \(x_{*}\in X\), say, since X is sb-complete, which proves that \(\omega _{f}(x_{0})\) is nonempty. We now shall show that \(x_{*}\) is a fixed point of f. By using (4), we get
By letting \(k\rightarrow \infty \), we obtain by Proposition 1.11 and Remark 1.16 that \(x_{*}=fx_{*}\). Finally, the uniqueness of the fixed point follows immediately from (4). \(\square \)
Remark 2.2
Theorem 2.1 generalizes [3, Theorem 2.1]. Note also that for the extended suprametric, introduced by Panda et al. [22], an additional continuity assumption was added to obtain the main fixed point theorem.
Proposition 2.3
Let (X, d) be an sb-suprametric space and let \(f:X\rightarrow X\) be a Lipschitz mapping, that is, there is a constant \(\lambda \in [0,\infty )\) such that for all \(x,y\in X\),
Then f is continuous.
Proof
The proof is exactly the same as that of [3, Proposition 1.8]. \(\square \)
Let X be a topological space and \(f:X\rightarrow X\) be a mapping. For \(x_{0}\in X\) the \(\omega \)-limit set is given by
The next result follows immediately from Remark 1.7, Proposition 2.3 and [19, Theorem 1].
Theorem 2.4
Let (X, d) be an sb-suprametric space and let \(f:X\rightarrow X\) be a contractive mapping, that is, for all \(x,y\in X\) with \(x\ne y\),
If there exists \(x_{0}\in X\) such that \(\omega _{f}(x_{0})\) is nonempty, then f has a unique fixed point and \(\big \{f^{n}x\big \}_{n\in {\mathbb {N}}}\) converges to this fixed point for all \(x\in X\).
Remark 2.5
Theorem 2.4 generalize [11, Theorem 1] and [3, Theorem 2.3]. In this connection, see also [12, Chapter 1, Theorem 1.2] and [5, Section 6].
4 Ekeland Variational Principle and Caristi Fixed Point Theorem
We first present a Cantor’s intersection theorem in sb-suprametric spaces.
Theorem 3.1
Let (X, d) be a complete sb-suprametric space, and let \(\left\{ C_{n}\right\} _{n\in {\mathbb {N}}} \) be a decreasing nested sequence of nonempty closed sets of X with
Then \(\bigcap _{n\in {\mathbb {N}}} C_{n}=\{z\}\) for some \(z\in X\).
Proof
Since \(C_{n}\) is nonempty for all n, we take \(z_{n}\) in every \(C_{n}\). We then construct a Cauchy sequence \(\{z_{n}\}\) because \(d(z_{m},z_{n})\le \textrm{diam}(C_{N})\) for all m, n greater than some integer N and \(\textrm{diam}(C_{N})\rightarrow 0\) as \(N\rightarrow \infty \). Now, by completeness of (X, d), we deduce that \(\{z_{n}\}\) converges to some z. Next, since \(z_{n}\in C_{N}\) for all \(n\ge N\) and \(C_{N}\) is closed, \(z\in \bigcap _{n\ge {N}} C_{n}\), which implies by the nestedness property that \(z\in \bigcap _{n\in {\mathbb {N}}} C_{n}\). Assume now that there exists \(z'\in \bigcap _{n\in {\mathbb {N}}} C_{n}\) such that \(z'\ne z\), then \(d(z,z')>0\), which implies that there exists \(m\in {\mathbb {N}}\) such that \(\textrm{diam}(C_{n})<d(z,z')\) for all \(n\ge m\). Consequently, \(z'\not \in C_{n}\) for all \(n\ge m\) and therefore \(z'\not \in \bigcap _{n\in {\mathbb {N}}} C_{n}\). This proves that \(\bigcap _{n\in {\mathbb {N}}} C_{n}=\{z\}\). \(\square \)
We next present an Ekeland’s variational principle in the new spaces.
Theorem 3.2
Let (X, d) be a complete sb-suprametric space \((b \,{ > }\,1)\) and let \(\phi : X \rightarrow {\mathbb {R}}\cup \{\pm \infty \}\) be a lower semicontinuous function which is proper and lower bounded. Then, for every \(x_{0} \in X\) and \(\varepsilon > 0\) with
there exist \(x_{\varepsilon }\in X\) and a sequence \(\{x_{i}\}_{i\in {\mathbb {N}}}\) in X such that:
-
(i)
\(\lim _{i\rightarrow \infty }d(x_{i},x_{\varepsilon })=0 \).
-
(ii)
\(d(x_{i},x_{\varepsilon })\le {2^{-n}}{\varepsilon }\), for all \(i\in {\mathbb {N}}\).
-
(iii)
\(\phi (x_{\varepsilon })+\sum \limits _{i=0}^{\infty }{b^{-i}}d(x_{\varepsilon },x_{i})\le \phi (x_{0})\).
-
(iv)
\(\phi (x_{\varepsilon })+\sum \limits _{i=0}^{\infty }{b^{-i}}d(x_{\varepsilon },x_{i})< \phi (x)+\sum \limits _{i=0}^{\infty }{b^{-i}}d(x,x_{i})\) for all \(x\ne x_{\varepsilon }\).
Proof
Let \(x_{0} \in X\) and \(\varepsilon > 0\) and define the set
Clearly, \(C_{0}\) is nonempty and closed since it contains \(x_{0}\), d is continuous and \(\phi \) is lower semi-continuous. Now, for all \(y\in C_{0}\), we have
Choose \(x_{1}\in C_{0}\) such that
and consider the set
By induction, we choose \(x_{n-1}\in C_{n-2}\) \((n\ge 2)\) and consider
Then, we choose \(x_{n}\in C_{n-1}\) such that
Define again a set
Clearly, \(C_{n}\) is nonempty and closed since it contains \(x_{n}\), d is continuous and \(\phi \) is lower semicontinuous. Next, for all \(y\in C_{n}\), we deduce from (8) and (9) that
Hence, for all \(y\in C_{n}\), we have
this implies that (i) holds. Consequently, \(\lim _{n\rightarrow \infty }\textrm{diam}(C_{n})= 0\) and the sequence \(\{C_{n}\}_{n\in {\mathbb {N}}}\) is decreasing nested sequence of nonempty closed sets of X. So, by Theorem 3.1 it follows that \(\bigcap _{n\in {\mathbb {N}}} C_{n}=\{x_{\varepsilon }\}\) for some \(x_{\varepsilon }\in X\). Note that (ii) follows from (7) and (10). Now, since for all \(x\ne x_{\varepsilon }\), \(x\not \in \bigcap _{n\in {\mathbb {N}}} C_{n}\), thus there exists \(m\in {\mathbb {N}}\) such that \(x\not \in C_{m}\), then
But \(x\not \in C_{m}\) means that \(x\not \in C_{k}\) for all \(k\ge m\), so from the previous inequalities we conclude that for all \(k\ge m\), we have
Consequently (iii) and (iv) hold. \(\square \)
Remark 3.3
Theorem 3.2 generalizes [6, Theorem 2.2].
Corollary 3.4
Let (X, d) be a complete sb-suprametric space \((b \,{ > }\,1)\) and let \(\phi : X \rightarrow {\mathbb {R}}\cup \{\pm \infty \}\) be a lower semi-continuous function which is proper and lower bounded. Then, for every \(\varepsilon > 0\) there exist \(x_{\varepsilon }\in X\) and a sequence \(\{x_{i}\}_{i\in {\mathbb {N}}}\) in X such that:
-
(i)
\(\lim _{i\rightarrow \infty }d(x_{i},x_{\varepsilon })=0 \).
-
(ii)
\(\phi (x_{\varepsilon })+\textstyle \sum \limits _{i=0}^{\infty }{b^{-i}}d(x_{\varepsilon },x_{i})\le \inf _{x\in X}\phi (x)+\varepsilon \).
-
(iii)
\(\phi (x_{\varepsilon })+\textstyle \sum \limits _{i=0}^{\infty }{b^{-i}}d(x_{\varepsilon },x_{i}) \le \phi (x)+\textstyle \sum \limits _{i=0}^{\infty }{b^{-i}}d(x,x_{i})\) for all \(x\in X\).
We next present a fixed point theorem in sb-suprametric spaces.
Theorem 3.5
Let (X, d) be a complete sb-suprametric space \((b\,{ > }\,1)\). Let \(f:X\rightarrow X\) be a mapping for which there exists a proper, lower semicontinuous and lower bounded function \(\phi :X\rightarrow {\mathbb {R}}\cup \{\pm \infty \}\) such that for all \(x\in X\),
Then f has a fixed point.
Proof
Assume that for all \(x \in X\), \(f(x)\ne x\). By applying Corollary 3.4, we deduce that for every \(\varepsilon > 0\) there exist \(x_{\varepsilon }\in X\) and a sequence \(\{x_{i}\}_{i\in {\mathbb {N}}}\) in X such that:
for all \(x\in X\). By taking \(x=f(x_{\varepsilon })\), where here \(x\ne x_{\varepsilon }\), we get
Now, by \(d'_{3}\) it follows that
Since \(\lim _{i\rightarrow \infty }d(x_{\varepsilon },x_{i})=0\), then there exists an integer \(N>0\) such that for all \(i\ge N\), we have \(d(x_{\varepsilon },x_{i})\le 1\). Hence,
Next, we take \(x=x_{\varepsilon }\) in (11), we obtain
and this inequality combined with the previous one yield a contradiction. We conclude that f has a fixed point. \(\square \)
The Caristi’s fixed point theorem in sb-suprametric spaces follows immediately by taking \(\psi =\frac{b-1}{b^2+\rho } \phi \) in the previous theorem.
Corollary 3.6
Let (X, d) be a complete sb-suprametric space \((b\,{ > }\,1)\). Let \(f:X\rightarrow X\) be a mapping for which there exists a proper, lower semicontinuous and lower bounded function \(\psi :X\rightarrow {\mathbb {R}}\cup \{\pm \infty \}\) such that for all \(x\in X\),
Then f has a fixed point.
Proposition 3.7
5 Strong b-Supranormed Spaces
In this section, we introduce the concept of strong b-supranormed spaces and derive some of its properties.
Definition 4.1
Let X be a nonempty linear space and \(b\,{\ge }\,1\), \(\rho \,{\ge }\,0\) are two real constants. A function \(\Vert \cdot \Vert :X\rightarrow {\mathbb {R}}_{+}\) is called \(b\)-supranorm if the following conditions hold:
- (\({n}_{1}\)):
-
\(\Vert x\Vert =0\) if and only if \(x=0\),
- (\({n}_{2}\)):
-
\(\Vert \lambda x\Vert =|\lambda | \Vert x\Vert \), for all \(x\in X\) and \(\lambda \in {\mathbb {R}}\)
- (\({n}_{3}\)):
-
\(\Vert x+y\Vert \le b(\Vert x\Vert +\Vert y\Vert )+\rho \, \Vert x\Vert \,\Vert y\Vert \) for all \(x,y\in X\).
A pair \((X,\Vert \cdot \Vert )\) is called a b-supranorm space if X is a nonempty set and \(\Vert \cdot \Vert \) is a b-supranorm. The pair \((X,\Vert \cdot \Vert )\) is called a supranorm space if \(b=1\).
Definition 4.2
Let X be a nonempty linear space and \(b\,{\ge }\,1\), \(\rho \,{\ge }\,0\) are two real constants. A function \(\Vert \cdot \Vert :X\rightarrow {\mathbb {R}}_{+}\) is called strong b-supranorm (sb-supranorm) if it satisfies (\({n}_{1}\)), (\({n}_{2}\)) and
- (\(n'_{3}\)):
-
\(\Vert x+y\Vert \le b \,\Vert x\Vert +\Vert y\Vert +\rho \Vert x\Vert \Vert y\Vert \) for all \(x, y\in X\).
A pair \((X,\Vert \cdot \Vert )\) is called a strong b-supranormed (sb-supranormed) linear space if X is a nonempty set and \(\Vert \cdot \Vert \) is a string b-supranorm. The pair \((X,\Vert \cdot \Vert )\) is called a strong supranormed linear space if \(b=1\).
Remark 4.3
Using (\({n}_{2}\)), it follows that
- (\(n''_{3}\)):
-
\(n''_{3}\) \(\Vert x+y\Vert \le \Vert x\Vert +b \,\Vert y\Vert +\rho \Vert x\Vert \Vert y\Vert \) for all \(x, y \in X\).
Examples 4.4
-
Clearly, strong b-normed spaces of [16] are sb-supranormed spaces.
-
If \(\Vert \cdot \Vert \) is an sb-supranorm linear space X, then the function \(d:X\times X\rightarrow {\mathbb {R}}_{+}\) given by \(d(x,y)=\Vert x-y\Vert \) is an sb-suprametric.
-
Consider the set \(X={\mathbb {R}}^{2}\) endowed with a function \(\Vert \cdot \Vert :X \rightarrow {\mathbb {R}}\) defined by
$$\begin{aligned} \Vert (x,y) \Vert =\left| x-y \right| +\min (|x|,|y|). \end{aligned}$$It is not difficult to see that \((X,\Vert \cdot \Vert )\) is an sb-supranormed space for \(b\,{=}\,\rho \,{=}\,2\).
Remark 4.5
Let \((X, \Vert \cdot \Vert )\) be an sb-supranormed linear space. If a sequence \(\{x_{n}\}\) converges simultaneously to x and y, that is, \(\lim \limits _{n\rightarrow \infty }\Vert x_{n}-x\Vert =\lim \limits _{n\rightarrow \infty }\Vert x_{n}-y\Vert =0\), then \(x=y\), and this follows from (\({n}_{1}\)) and (\(n'_{3}\)), since we have
Moreover, we have the following inequality:
for all \(n \in {\mathbb {N}}\) and \(x_{0},\ldots , x_{n} \in X\).
Lemma 4.6
Let \((X, \Vert \cdot \Vert )\) be an sb-supranormed linear space. Then, \(\Vert \cdot \Vert \) is a continuous function.
Proof
Assume that \(\rho >0\) and let \(x,y \in X\), then
and consequently,
Similarly,
Hence, from (12) and (13), one gets
Therefore, if \(\Vert x_{n}-x\Vert \rightarrow 0\) as \(n\rightarrow \infty \), then
and using Remark 1.6 it follows that \(\Vert x_{n}\Vert \rightarrow \Vert x\Vert \) as \(n\rightarrow \infty \), which implies that \(\Vert \cdot \Vert \) is a continuous function. \(\square \)
Let \((X_{n}, d)\) be an n-dimensional sb-supranormed linear space and let \(\{u_{1},\ldots , u_{n}\}\) be a base of \(X_{n}\). For every \(x\in X\) there exist unique coefficients \(\alpha _{1},\ldots ,\alpha _{n}\in {\mathbb {R}}\) such that
and define \(\Vert \cdot \Vert _{0}:X \rightarrow {\mathbb {R}}_{+}\) by
Theorem 4.7
Let \((X_{n}, \Vert \cdot \Vert )\) be an n-dimensional \(sb\)-supranormed linear space. Then, there exists \(\beta > 0\) such that
Proof
Let \(x\in X_{n}\) and \(\{u_{1},\ldots , u_{n}\}\) be a base of \(X_{n}\). Then, there exist unique coefficients \(\alpha _{1},\ldots ,\alpha _{n}\in {\mathbb {R}}\) such that \(x=\sum _{i=1}^{n}\alpha _{i} u_{i}\). Hence,
where
\(\square \)
Theorem 4.8
Let \((X_{n}, \Vert \cdot \Vert )\) be an n-dimensional \(sb\)-supranormed linear space. Then, \(\Vert \cdot \Vert \) and \(\Vert \cdot \Vert _{0}\) are equivalent, that is, there exists \(\alpha ,\beta > 0\) such that for all \(x \in X\)
Proof
Let \(x\in X_{n}\) and \(\{u_{1},\ldots , u_{n}\}\) be a base of \(X_{n}\). Then, there exist unique coefficients \(\alpha _{1},\ldots ,\alpha _{n}\in {\mathbb {R}}\) such that \(x=\sum _{i=1}^{n}\alpha _{i} u_{i}\). Define a set U by
We first show that U is bounded. Let \(\alpha ^{j}_{1},\ldots ,\alpha ^{j}_{n}\in {\mathbb {R}}\) for \(j=1,2\) such that \(x_{j}=\sum _{i=1}^{n}\alpha ^{j}_{i} u_{i}\in U\). Then
where \(\beta \) is given by (15) and \( K {:}{=}\max \big \{2^{k}n \left( ^{n}_{k}\right) :k=1,\ldots , n\big \} \), which proves that U is bounded.
Define now a function \(\phi :X \rightarrow {\mathbb {R}}_{+}\) by \(\phi (x)=\Vert x\Vert \). It follows by Lemma 4.6 that f is continuous. Note that U is strongly compact, since it is bounded and closed subset of \({\mathbb {R}}^{n}\). Using Theorem 1.19, we deduce that \(\phi \) has an infimum \(\alpha \) in U, which is different from zero because \(\Vert x\Vert _{0}=1\) for every vector \(x\in U\). Hence,
Thus, from the fact \(\frac{x}{\Vert x\Vert _{0}}\in U\) for all \(x\in X\), it follows that
which implies that
Finally, combine (14) and (16), we obtain the result. \(\square \)
Remark 4.9
As an immediate consequence of Theorem 4.8, any two sb-supranorms on a finite-dimensional space are equivalent.
Lemma 4.10
Let \((X_{n}, \Vert \cdot \Vert )\) be an n-dimensional \(sb\)-supranormed linear space, let U be a bounded set of X. Then, U is compact.
Proof
Let \(x\in X_{n}\) and \(\{u_{1},\ldots , u_{n}\}\) be a base of \(X_{n}\). Then, there exist unique coefficients \(\alpha _{1},\ldots ,\alpha _{n}\in {\mathbb {R}}\) such that \(x=\sum _{i=1}^{n}\alpha _{i} u_{i}\). Let \({\overline{x}}=(\alpha _{1},\ldots ,\alpha _{n})\in {\mathbb {R}}^{n}\). Define the function \(\phi :U \rightarrow {\mathbb {R}}^{n}\) by \(\phi (x)={\overline{x}}\) for all \(x\in U\) and let \(V=\phi (U)\). Since the function \(\Vert \cdot \Vert _{1}:X\rightarrow {\mathbb {R}}_{+}\) by \(\Vert x\Vert _{1}{:}{=}\Vert \phi (x)\Vert _{n}\) is an sb-supranorm on \(X_{n}\), where \(\Vert \cdot \Vert _{n}\) is an sb-supranorm on \({\mathbb {R}}^{n}\). Hence, according to Remark 4.9, \(\Vert \cdot \Vert _{1}\) is equivalent to the \(sb\)-supranorm \(\Vert \cdot \Vert \). We conclude that there exist \(\alpha ,\beta >0\) such that
As consequences of (17), U bounded in X if and only if U bounded in \({\mathbb {R}}^{n}\), and a sequence \(\{x_{n}\}\) is convergent in \((X, \Vert \cdot \Vert )\) if and only if the corresponding sequence \(\{{\overline{x}}_{n}\}\) is convergent in \({\mathbb {R}}^{n}\). Consequently, the compactness of U bounded in X follows from the compactness of U bounded in \({\mathbb {R}}^{n}\). \(\square \)
6 Brouwer and Schauder Fixed Point Principles
We first recall the Brouwer fixed point principle in \({\mathbb {R}}^{n}\).
Theorem 5.1
(Brouwer) Let U be a bounded closed convex set of \({\mathbb {R}}^{n}\). If a mapping \(f:U \rightarrow U\) is continuous, then it has a fixed point.
The Brouwer fixed point principle in sb-supranormed space is given next.
Theorem 5.2
Let \((X_{n}, \Vert \cdot \Vert )\) be an n-dimensional sb-supranormed linear space and let U be a bounded closed convex set of \(X_{n}\). If a mapping \(f:U \rightarrow U\) is continuous, then it has a fixed point.
Proof
Let \(x\in X_{n}\) and \(\{u_{1},\ldots , u_{n}\}\) be a base of \(X_{n}\). Then, there exist unique coefficients \(\alpha _{1},\ldots ,\alpha _{n}\in {\mathbb {R}}\) such that \(x=\sum _{i=1}^{n}\alpha _{i} u_{i}\). Let \({\overline{x}}=(\alpha _{1},\ldots ,\alpha _{n})\in {\mathbb {R}}^{n}\). Define the function \(\phi :U \rightarrow {\mathbb {R}}^{n}\) by \(\phi (x)={\overline{x}}\) for all \(x\in U\) and let \(V=\phi (U)\). The function \(\phi :U \rightarrow V\) is bijective, where the mapping \(\phi ^{-1}:V\rightarrow U\) is given by \(\phi ^{-1}({\overline{x}})=x\) for all \({\overline{x}}\in V\). Next, we will prove several claims: \(\square \)
Claim 1
\(\phi :U \rightarrow V\) is an homeomorphism. Indeed \(\phi \) is continuous in U, since by (16), we have
Similarly, \(\phi ^{-1}\) is continuous in V, because by (14), we have
Hence, Claim 1 holds.
Claim 2
V is convex. Let \({\overline{x}}=(\alpha _{1},\ldots ,\alpha _{n}), {\overline{y}}=(\beta _{1},\ldots ,\beta _{n})\in V\), where \(\alpha _{i},\beta _{i}\in {\mathbb {R}}\) for \(i=1,\ldots ,n\). For all \(\lambda \in [0,1]\), we obtain by convexity of U that
which implies that Claim 2 holds.
Claim 3
V is bounded. Let \({\overline{x}}, {\overline{y}} \in V\), then by the boundedness of U and Theorem 4.7 it follows that
where \(d(U){:}{=}\max \{\Vert x-y\Vert : x,y\in U\}\), which proves Claim 3.
Claim 4
V is closed. Let \(x=\sum _{i=1}^{n}\alpha _{i} u_{i}\), \(x_{0}=\sum _{i=1}^{n}\beta _{i} u_{i}\), \({\overline{x}}=(\alpha _{1},\ldots ,\alpha _{n})\in V\), \({\overline{x}}_{0}=(\beta _{1},\ldots ,\beta _{n})\), where \(\alpha _{i},\beta _{i}\in {\mathbb {R}}\) for \(i=1,\ldots , n\). Assume that \(\Vert {\overline{x}}-{\overline{x}}_{0}\Vert _{0}\) tends to zero. Now, by (16), we have
so it follows that by closedness of U that \(x_{0}\in U\), which implies that \({\overline{x}}_{0}\in V\) and this prove the claim.
Claim 5
f has a fixed point. To show this, define the function \(F:V\rightarrow V\) by \(F=\phi {f}\phi ^{-1}\). By Theorem 5.1 and the previous claims, we deduce that there exists \({\overline{x}}\in V\) such that \(F(x)=x\), that is,
which is equivalent to \(f(\phi ^{-1}(x))=\phi ^{-1}(x)\), and since \(\phi ^{-1}(x)\in U\), then f has a fixed point in U. \(\square \)
Before establishing the fixed point principle of Schauder type in sb-supranormed spaces, we need to develop some auxiliary results. Let \((E,\Vert \cdot \Vert )\) be an sb-supranormed linear space and \(N {:}{=}\{c_{1}, \ldots , c_{n}\}\) be a finite subset of E. For any fixed \(\varepsilon > 0\), define the set
where
Define a mapping \(\mu _{i}:(N,{\varepsilon })\rightarrow {\mathbb {R}}\) by
Consider the Schauder projection \(p_{\varepsilon }:(N,{\varepsilon }) \rightarrow \textrm{conv}(N)\) given by
Note that \(p_{\varepsilon }((N,{\varepsilon }))\subset \textrm{conv}(N)\) as a convex combination of \(\{c_{1}, \ldots , c_{n}\}\). Moreover, if \(x\in (N,{\varepsilon })\), then there exists i such that \(x\in B(C_{i},\varepsilon )\), so \(\sum \nolimits _{i=1}^{n}\mu _{i}(x)\ne 0\), which means that \(p_{\varepsilon }\) is well defined.
Lemma 5.3
Let \((E,\Vert \cdot \Vert )\) be an sb-supranormed linear space, U be a convex subset of E and \(N=\{c_{1},\ldots ,c_{n}\}\subset U\). Then for a sufficiently small \(\varepsilon > 0\), we have
-
(i)
\(\Vert x-p_{\varepsilon }(x)\Vert \le n\,b\,\varepsilon \, \max \{1,\rho ^{n}\} \) for all \(x\in (N,{\varepsilon })\),
-
(ii)
\(p_{\varepsilon }:(N,{\varepsilon })\rightarrow \textrm{conv}(N)\subset U\) is a continuous compact mapping.
Proof
Let \(\varepsilon \in (0,1]\) be sufficiently small such that for every \(1\,{\le }\, i\, {\le }\, n\) and any x in \((N,\varepsilon )\), \(P_{i}(x)\le P_{1}(x)\), where \(P_{i}(x){:}{=}{\textbf {e}}_{i}(\mu _{1}(x),\ldots ,\mu _{n}(x))\). Then,
Now, since \(p_{\varepsilon }\) is a finite sum of continuous functions and \(\Vert \cdot \Vert \) is continuous according to Lemma 4.6, then \(p_{\varepsilon }\) is continuous. The compactness of \(p_{\varepsilon }\) follows from Lemma 4.10, since its codomain is with finite-dimension. \(\square \)
Lemma 5.4
Let X be a topological space and E be an sb-supranormed linear space. Let U be a convex set of E and \(f :X \rightarrow U\) be a compact mapping. Then for a sufficiently small \(\varepsilon > 0\), there exists a finite set
and a finite-dimensional mapping \(f_{\varepsilon } :X \rightarrow U\) such that:
-
(i)
\(\Vert f_{\varepsilon } (x)-f(x)\Vert \le n\, b\, \varepsilon \, \max \{1,\rho ^{n}\} \) for all \(x\in X\),
-
(ii)
\(f_{\varepsilon } (X)\subset \textrm{conv}(N) \subset U\).
Proof
- (i)::
-
By Theorem 1.20 and for sufficiently small \(\varepsilon \in (0,1)\) there exists a finite \(\varepsilon \)-net \(\{c_{1},\ldots ,c_{n}\} \subset f(X)\) because f(X) is compact in E. Now, if \(y\in f(X)\), then \(d(y,c_{i})<\varepsilon \) for some \(i\in \{1,\ldots ,n\}\), thus \(y\in B(c_{i},\varepsilon )\), so \(y\in (N,\varepsilon )\) and this proves that \(f(X)\subset (N,\varepsilon )\). Let \(f_{\varepsilon }=p_{\varepsilon }f\). We deduce by Lemma 5.3 that
$$\begin{aligned} \Vert f_{\varepsilon }(x)-f(x)\Vert =\Vert p_{\varepsilon }y-y\Vert \le n\, b\, \varepsilon \, \max \{1,\rho ^{n}\}, \end{aligned}$$where \(y=f(x)\in (N,\varepsilon )\), for all \(x\in X\).
- (ii)::
-
Let \(y\in f_{\varepsilon }(X)\). Thus, there is \(z=f(x)\in (N,\varepsilon )\) for some \(x\in X\) such that \(y=p_{\varepsilon }(z)\). Consider
$$\begin{aligned} y=p_{\varepsilon }(z)=\textstyle \sum \limits _{i=1}^{n}\lambda _{i} c_{i},\;\; \textstyle \sum \limits _{i=1}^{n}\lambda _{i}=1, \;\;\lambda _{i}\in {\mathbb {R}},\;\; i=1,\ldots ,n. \end{aligned}$$
Thus, \(y\in \textrm{conv}(N)\subset U\), and by convexity of U it follows that \(f_{\varepsilon }\subset \textrm{conv}(N)\subset U\). \(\square \)
Let (X, d) be an sb-suprametric space, U be a nonempty set of X and \(f :U\rightarrow X\) be a given mapping. If for a given \(\varepsilon > 0\), there exists a point \(x \in U \) such that \(d(x,f(x)) < \varepsilon \), then we say that x is an \(\varepsilon \)-fixed point for f.
Theorem 5.5
Let (X, d) be an sb-suprametric space and U be a closed set of X. If a mapping \(f :U \rightarrow X\) is compact, then f has a fixed point if and only if for each \(\varepsilon > 0\) it has an \(\varepsilon \)-fixed point.
Proof
The necessary condition is trivial, so we only show the sufficient condition. Let \(\varepsilon _{n}=\frac{1}{n}\), \(n\in {\mathbb {N}}\). Assume there exists \(u_{n}\in U\) for all \(n\in {\mathbb {N}}\) such that \(u_{n}\) are \(\varepsilon _{n}\)-fixed point, that is,
The mapping f is compact, so there exists a compact K such that \(f(X)\subseteq K\). Thus, there exists a subsequence \(\{u_{n_{k}}\}\) such that \(f(u_{n_{k}})\) converges to some \(u\in X\) as k tends to infinity. Now, using (18), it follows that for any \(\varepsilon >0\) there exists \(k_{0}\in {\mathbb {N}}\) such that for \(k\ge k_{0}\), we have
which implies that \(\{u_{n_{k}}\}\) converges to u in U because U is closed. Observe that \(\{f(u_{n_{k}})\}\) converges to u and by continuity of f it converges also to f(u), which means by Proposition 1.11 that \(u=f(u)\). \(\square \)
Remark 5.6
In Theorem 5.5, if \(f :U \rightarrow U\) is compact, the assumption of closeness of U may be dropped, since the sequence \(f(u_{n_{k}})\) converges to some \(u\in \textrm{cl}\left( f(U)\right) \) which is a subset of U.
Finally, we present a Schauder fixed point principle.
Theorem 5.7
Let \((X, \Vert \cdot \Vert )\) be an sb-supranormed linear space and U be a convex set (not necessarily closed) of X. If a mapping \(f:U \rightarrow U\) is compact, then it has a fixed point.
Proof
It suffice to show that f has an \(\varepsilon \)-fixed point. By Lemma 5.4 it follows that for a sufficiently small \(\varepsilon >0\) there exists \(f_{\varepsilon }: U\rightarrow U\) such that
-
(i)
\(\Vert f_{\varepsilon } (x)-f(x)\Vert \le n\, b\, \varepsilon \, \max \{1,\rho ^{n}\} \) for all \(x\in U\),
-
(ii)
\(f_{\varepsilon } (U)\subset \textrm{conv}(N) \subset U\).
Since \(\textrm{conv}(N) \subset U\), we get \(f_{\varepsilon } (\textrm{conv}(N))\subset f_{\varepsilon }(U) \subset \textrm{conv}(N)\), which implies that \(f_{\varepsilon }: \textrm{conv}(N)\rightarrow \textrm{conv}(N)\) is well defined. Since \(\textrm{conv}(N)\) is bounded closed convex (see also [24, Propositions C.2 and C5]), we deduce by Theorem 5.2 that there exists \(x_{\varepsilon }\in \textrm{conv}(N) \subset U\) such that \(f_{\varepsilon }x_{\varepsilon }=x_{\varepsilon }\), so by (i), we obtain
and by letting \({\varepsilon }\) tends to zero together with the continuity of f, we obtain the result by Theorem 5.5 and Remark 5.6. \(\square \)
Remark 5.8
Observe that U is not necessary closed, since Theorem 5.2 is applied to the selfmap \(f_{\varepsilon }\) defined on the closed set \(\textrm{conv}(N)\). Moreover and according to Remark 5.6, Theorem 5.5 can be applied without requiring the closeness of U. This answer the question in [9, Remark 13].
7 Applications
In this section, we study the existence of a unique solution to an integral equation as well as to a boundary value problem, as applications to the fixed point theorem proved in Section 2. We consider the integral equation:
The problem of existence of a solution for the integral equation (19) will be discussed under the following assumptions:
- (\(a_1\)):
-
\(\lambda :[0,1]\rightarrow {\mathbb {R}}_{+}\) is a continuous function.
- (\(a_2\)):
-
\(h:[0,1]\,{\times }\,{\mathbb {R}}_{+} {\,\rightarrow \,} {\mathbb {R}}_{+}\) is a continuous function and there exists a continuous function \(u:{\mathbb {R}}^{2}_{+} {\,\rightarrow \,} {\mathbb {R}}_{+}\) such that for all \((s,p,q)\,{\in }\, [0,1]\,{\times }\,{\mathbb {R}}_{+}^{2}\),
$$\begin{aligned} & u(p,p)=0, \end{aligned}$$(20a)$$\begin{aligned} & \left| h(s,p)-h(s,q)\right| \le u(p,q), \end{aligned}$$(20b)$$\begin{aligned} & u(p,q)^{2}+ {\textstyle \frac{1}{2}}u(p,q) \le |p-q|^{2}+ {\textstyle \frac{1}{2}}|p-q|. \end{aligned}$$(20c) - (\(a_3\)):
-
\(G:[0,1]^{2} \rightarrow {\mathbb {R}}_{+}\) is a continuous function such that
$$\begin{aligned} c{:}{=}\max _{s,t\in [0,1]}G(s,t) <1. \end{aligned}$$
Before presenting the main result of this section, we derive an inequality of Chebyshev type. For more details on Chebyshev inequalities, we refer to Chapter IX of [20] and for more recent references, see for instance [1, 23].
Lemma 6.1
Let a and b be real numbers such that \(a\, {< }\,b\), and let \(w(t,\cdot )\) be a nonnegative measurable function for every \(t\,{\in }\,[a,b]\). Let \(x(s)=(x_{1}(s),x_{2}(s),\ldots ,x_{n}(s))\) such that \(\{x_{i}\}_{1\le i \le n}\) are nonnegative functions defined on [a, b], and let u be a nonnegative function defined on \([a,b]\times {\mathbb {R}}^{n}_{+}\) such that \(s\mapsto u(s,x(s))\) is integrable with respect to w(t, s) for every \(t\in [a,b]\). Then
Proof
We have
\(\square \)
Theorem 6.2
Under assumptions (\(a_1\))–(\(a_3\)), the integral equation (19) has a unique solution in \(C_{+}([0, 1])\).
Proof
Let \(X=C_{+}([0, 1])\) be the set of continuous functions \(x:[0, 1]\rightarrow {\mathbb {R}}_{+}\), endowed with the suprametric \(\delta \) of Examples 1.4. First, by Remark 1.14, \((X,\delta )\) is a complete. Consider the operator \(T:X\rightarrow X\) defined by
Observe first that T is well defined. Let \(x,y\in X\), then by using the assumptions (\(a_1\))–(\(a_3\)) and Lemma 6.1, we get
and this implies
By Theorem 2.1, we conclude that the integral equation (19) has a unique solution in X. \(\square \)
Next by Theorem 6.2, we show the existence of a unique solution in \(C_{+}[0,1]\) to the following nonlinear third-order boundary value problem:
Proposition 6.3
The boundary value problem (22) has a unique solution in \(C_{+}[0,1]\).
Proof
The boundary value problem (22) has a solution \(x\in C_{+}[0,1]\) if and only if the operator \(T:C_{+}[0,1]\rightarrow C_{+}[0,1]\) defined by
has a fixed point in \(C_{+}[0,1]\), where the Green’s function associated to the homogeneous problem \(x'''(t)=0\) that satisfies the boundary condition (22b) is given by
Firstly, observe that T is well defined and (\(a_1\)) holds, where \(\lambda =0\). Moreover, it is easy to see that G is continuous and satisfies (\(a_3\)), since we have
Consider now the functions \(h:[0,1]\times {\mathbb {R}}_{+}\rightarrow {\mathbb {R}}_{+}\) and \(u:{\mathbb {R}}^{2}_{+}\rightarrow {\mathbb {R}}_{+}\) given by
In order to use Theorem 6.2 and conclude that T has a unique solution in \(C_{+}[0,1]\), we have to check (\(a_2\)). Note that h and u are continuous and it is not difficult to see that (20b) and (20c) follow from the next lemma. \(\square \)
Lemma 6.4
For all \((p,q,s)\in {\mathbb {R}}^{2}_{+}\times [0,1]\), we have \(A\ge 0\) and \(B\ge 0\), where
Proof
Suppose, without loss of generality, that \(p> q\). Then,
Using the mean value theorem twice, it follows that there exists \(c\in (q, p)\) such that
and also there exists \(c'\in (p-q, p)\) such that
Now, since the function \(h_{1}:{\mathbb {R}}_{+}\rightarrow {\mathbb {R}}\) given by \(h_{1}(t)=\textstyle \frac{1+e^{-t}+2 t e^{-t}}{ \sqrt{t+1}}\) is decreasing on \({\mathbb {R}}_{+}\), we obtain
and
Hence, it suffice to know the sign of \(h_{2}(p-q)-h_{1}(q)\) and \(h_{2}(q)-h_{1}(p-q)\), where the function \(h_{2}:{\mathbb {R}}_{+}\rightarrow {\mathbb {R}}\) is given by \(h_{2}(t)=\textstyle {2t^{-1}\sqrt{t+1}(1-e^{-t})}\). It is not difficult to see that \(h_{2}\) is decreasing, so if \(p-q\le q\), \(h_{2}(p-q)-h_{1}(q)\ge h_{2}(p-q)-h_{1}(p-q)\) and if \(p-q>q\), \(h_{2}(q)-h_{1}(p-q)\ge h_{2}(q)-h_{1}(q)\). We conclude from the fact that \(t\mapsto (h_{2}-h_{1})(t)\) is positive that \(A\ge 0\). Finally, we have
\(\square \)
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Berzig, M. Strong b-Suprametric Spaces and Fixed Point Principles. Complex Anal. Oper. Theory 18, 148 (2024). https://doi.org/10.1007/s11785-024-01594-2
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DOI: https://doi.org/10.1007/s11785-024-01594-2