1 Introduction and preliminaries

Let \((X,d)\) be any metric space, Y a subset of X, and \(f:X\rightarrow Y\). A point x in X that remains invariant under f is called a fixed point of f. The set of all fixed points of f is denoted by \(F(f)\). A sequence \(\{x_{n}\}\) in X defined by \(x_{n+1}=f(x_{n})=f^{n}(x_{0})\), \(n=0,1,2,\ldots\) , is called a sequence of successive approximations of f starting from \(x_{0}\in X\). If it converges to a unique fixed point of f, then f is called a Picard operator.

Fixed point theory plays a vital role in the study of existence of solutions of nonlinear problems arising in physical, biological, and social sciences. Some fixed point results simply ensure the existence of a solution but provide no information about the uniqueness and determination of the solution. The distinguishing feature of Banach-Caccioppoli contraction principle is that it addresses three most important aspects known as existence, uniqueness, and approximation or construction of a solution of linear and nonlinear problems. The simplicity and usefulness of this principle has motivated many researchers to extend it further, and hence there are a number of generalizations and modifications of the principle. One way to extend the Banach theorem is to weaken the contractive condition by employing the concept of comparison functions. For a detailed survey of such extensions obtained in this direction, we refer to [1, 2] and references therein.

We denote by \(P_{cl}(X)\), \(\mathbb{N}\), \(\mathbb{N}_{0}\), \(\mathbb{R}\), and \(\mathbb{R}^{+}\) the collection of nonempty closed subsets of a metric space \((X,d)\), the set of positive integers, the set of nonnegative integers, the set of real numbers, and the set of positive real numbers, respectively.

Let \((X,d)\) be a metric space. A self mapping f on X is called a φ-contraction if

$$ d(fx,fy)\leq\varphi \bigl(d(x,y)\bigr) $$

for all x, y in X, where φ is a suitable function on \([0,\infty)\), called a comparison function.

Definition 1.1

A map \(\varphi_{1}:[0,\infty)\rightarrow{}[0,\infty)\) is said to be a Browder function if \(\varphi_{1}\) is right continuous and monotone increasing.

Browder functions are examples of comparison functions. A self-mapping f on X is called a Browder contraction if

$$ d(fx,fy)\leq\varphi_{1} \bigl(d(x,y)\bigr) $$

for all \(x,y\in X\), where \(\varphi_{1}\) is a Browder function. Every Browder contraction on a complete metric space is a Picard operator [3]. Every Banach-contraction is a Browder contraction if \(\varphi_{1}(t)=\gamma t\) for \(\gamma \in {}[0,1)\).

Boyd and Wong [4] introduced a class of comparison functions as follows.

Definition 1.2

A function \(\varphi_{2}:[0,\infty)\rightarrow{}[0,\infty)\) is called a Boyd-Wong function if \(\varphi_{2}\) is upper semicontinuous from the right and \(\varphi_{2}(t)< t\) for all \(t>0\).

A self-mapping f on X is called a Boyd-Wong contraction if for all \(x,y\in X\),

$$ d(fx,fy)\leq\varphi_{2} \bigl(d(x,y)\bigr), $$

where \(\varphi_{2}\) is a Boyd-Wong function. Every Boyd-Wong contraction on a complete metric space is a Picard operator [4]. Note that Browder functions are Boyd-Wong functions.

Matkowski [5] initiated another class of comparison functions as follows.

Definition 1.3

A function \(\phi:[0,\infty)\rightarrow{}[0,\infty)\) is called a Matkowski function if ϕ is increasing and \(\lim_{n\rightarrow\infty}\phi^{n}(t)=0\) for all \(t\geq0\).

Every Matkowski function is a Boyd-Wond function ([1]).

Geraghty [6] defined the following class of comparison functions.

Let Φ be the class of all mappings \(\beta:[0,\infty)\rightarrow {}[0,1)\) satisfying the condition: \(\beta(t_{n})\rightarrow1\) implies \(t_{n}\rightarrow0\). Elements of Φ are called Geraghty functions.

Note that \(\Phi\neq\phi\). For example, if a mapping \(\beta:[0,\infty )\rightarrow{}[0,1)\) is defined by \(\beta(x)=\frac{1}{1+x^{2}}\), \(x\in{}[0,\infty)\), then \(\beta\in\Phi\).

Let \((X,d)\) be a complete metric space, and \(f:X\rightarrow X\). If there exists a Geraghty function β such that for any \(x,y\in X\), we have

$$ d(fx,fy)\leq\beta \bigl(d(x,y)\bigr)d(x,y), $$

then f is a Picard operator.

A self-mapping f on X is called a Meir-Keeler mapping if for any \(\epsilon>0\), there exists \(\delta_{\epsilon}>0\) such that for all \(x,y\in X\) with \(\epsilon\leq d(x,y)<\epsilon+\delta\), we have \(d(fx,fy)<\epsilon \).

Lim [7] defined the notion of L- function to characterize the Meir-Keeler mappings.

Definition 1.4

A mapping \(\eta:[0,\infty)\rightarrow{}[0,\infty)\) is called a Lim function or L-function if \(\eta(0)=0\), \(\eta(t)>0\) for all \(t>0\) and for any \(\epsilon>0\), there exists \(\delta_{\epsilon}>0\) such that \(\eta(t)\leq\epsilon\) for all \(t\in{}[\epsilon,\epsilon +\delta]\).

A self-map f on a metric space \((X,d)\) is a Meir-Keeler mapping iff there exists an L-function η such that \(d(fx,fy)<\eta (d(x,y))\) for all \(x,y\in X\) with \(d(x,y)>0\).

The notion of simulation functions was introduced by Khojasteh et al. [8] and then modified in [9] and [10].

Definition 1.5

A mapping \(\zeta:[0,\infty)\times{}[0,\infty)\rightarrow \mathbb{R}\) is called a simulation function if the following conditions hold:

(\(\zeta_{1}\)):

\(\zeta(t,s)< s-t\) for all \(t,s>0\);

(\(\zeta_{2}\)):

if \(\{t_{n}\}\) and \(\{s_{n}\}\) are sequences in \((0,\infty)\) such that \(\lim_{n\rightarrow\infty}t_{n}=\lim_{n\rightarrow\infty}s_{n} \in(0,\infty)\) and \(t_{n}< s_{n}\) for all \(n\in\mathbb{N}\) then \(\lim\sup_{n\rightarrow\infty} \zeta (t_{n},s_{n})<0\).

Note that Boyd-Wong functions are simulation functions.

Consistent with Rodan-Lopez-de-Hierro and Shahzad [10], the following definitions, examples, and results will be needed in the sequel.

Definition 1.6

Let \(A\subset\mathbb{R}\) be a nonempty set. A function \(\varrho :A\times A\rightarrow\mathbb{R}\) is called an R-function if:

(\(\varrho_{1}\)):

for any sequence \(\{a_{n}\}\subset(0,\infty)\cap A\) with \(\varrho(a_{n+1},a_{n})>0\) \(\forall n\in\mathbb{N}\), we have \(\lim_{n\rightarrow\infty}a_{n}=0\);

(\(\varrho_{2}\)):

for any sequences \(\{a_{n}\}\), \(\{b_{n}\}\) in \((0,\infty )\cap A\) satisfying \(\varrho(a_{n},b_{n})>0\) \(\forall n\in\mathbb {N}\), \(\lim_{n\rightarrow\infty}a_{n}=\lim_{n\rightarrow \infty}b_{n}=L\geq0\) and \(L< a_{n}\) imply that \(L=0\).

Example 1.7

([10], Example 18)

Define \(\varrho:[0,\infty)\times{}[0,\infty)\rightarrow\mathbb{R}\) by

$$ \varrho(t,s)=\textstyle\begin{cases} \frac{1}{2}s-t&\text{if }t< s, \\ 0&\text{if }t\geq s.\end{cases} $$

Then ϱ is an R-function that is not a simulation function.

Rodan-Lopez-de-Hierro and Shahzad [10] also considered the following condition:

(\(\varrho_{3}\)):

If \(\{a_{n}\}\) and \(\{b_{n}\}\) are sequences in \((0,\infty)\cap A\) such that \(\lim_{n\rightarrow\infty}b_{n}=0\) and \(\varrho (a_{n},b_{n})>0\) \(\forall n\in\mathbb{N}\), then \(\lim_{n\rightarrow\infty}a_{n}=0\).

Example 1.8

([10], Lemma 15)

Every simulation function is an R-function that satisfies (\(\varrho_{3}\)).

Example 1.9

([10])

If \(\phi:[0,\infty)\rightarrow{}[0,1 )\) is a Geraghty function, then \(\varrho_{\phi}:[0,\infty)\times{}[ 0,\infty )\rightarrow\mathbb{R}\) defined by

$$ \varrho_{\phi}(t,s)=\phi(s)s-t $$

is an R-function satisfying (\(\varrho_{3}\)).

Example 1.10

([10])

If \(\phi:[0,\infty)\rightarrow {}[0,\infty)\) is an L-function, then \(\varrho_{\phi}:[0,\infty)\times{}[ 0,\infty )\rightarrow\mathbb{R}\) defined by \(\varrho_{\phi}(t,s)=\phi(s)-t\) is an R-function satisfying (\(\varrho_{3}\)).

Definition 1.11

Let \((X,d)\) be a metric space. A self-map f of X is called an R-contraction if there exists \(\varrho\in R_{A}\) such that \(\operatorname {ran}(d)\subseteq A\) and \(\varrho(d(fx,fy),d(x,y))>0\) for all \(x,y\in X\) with \(x\neq y\), where \(R_{A}\) is the family of all functions \(\varrho:A\times A\rightarrow \mathbb{R}\) satisfying the conditions (\(\varrho_{1}\)) and (\(\varrho_{2}\)), and \(\operatorname {ran}(d)\) is the range of the metric d defined by \(\operatorname {ran}(d)=\{ d(x,y):x,y\in X\}\subseteq{}[0,\infty)\).

Definition 1.12

Let X be a nonempty set, p a positive integer, and f a self-map on X. If \(\{B_{i}:i=1,2,\ldots,p\}\) is a finite family of nonempty subsets of X such that \(f(B_{1})\subset B_{2}, f(B_{2})\subset B_{3},\ldots, f(B_{p-1})\subset B_{p}, f(B_{p})\subset B_{1}\). Then the set \(\bigcup_{i=1}^{p}B_{i}\) is called a cyclic representation of X with respect to f.

Kirk et al. [11] introduced the notion of cyclic φ-contraction mappings as follows.

Definition 1.13

Let \((X,d)\) be a metric space, and \(\{B_{i}:i=1,2,\ldots,p\}\) be a finite family of nonempty closed subsets of X. An operator \(f:\bigcup_{i=1}^{p}B_{i} \rightarrow\bigcup_{i=1}^{p}B_{i}\) is said to be a cyclic φ-contraction if \(\bigcup_{i=1}^{p}B_{i}\) is a cyclic representation of X with respect to f and

$$ d(fx,fy)\leq\varphi\bigl(d(x,y)\bigr) $$

for all \(x\in B_{i}\), \(y\in B_{i+1}\), \(1\leq i\leq p\), where \(B_{p+1}=B_{1}\), and φ is a Boyd-Wong function.

Kirk et al. [11] established the following fixed point results for Geraghty, Boyd-Wong, and Caristi cyclic φ-contractions.

Theorem 1.14

Let \((X,d)\) be a complete metric space, and p a natural number. Suppose that a self-mapping f is a cyclic φ-contraction on \(\bigcup_{i=1}^{p}B_{i}\). Then there exists a unique element \(z\in\bigcap_{i=1}^{p}B_{i}\) such that \(f(z)=z\).

Later, Pacurar and Rus [12] introduced the notion of weakly cyclic φ-contraction. Karapinar [13] improved the results in [12] dropping the requirement of continuity. For more results in this direction, we refer to [1416] and references therein.

We now introduce the following notion of cyclic R-contraction mapping.

Definition 1.15

Let \((X,d)\) be a metric space, and \(B_{1}, B_{2},\ldots,B_{p}\in P_{cl}(X)\). A mapping \(f:\bigcup_{i=1}^{p}B_{i}\rightarrow\bigcup_{i=1}^{p}B_{i}\) is said to be a cyclic R-contraction if

  1. (i)

    there exists \(\varrho\in R_{A}\) with \(\operatorname {ran}(d)\subseteq A\);

  2. (ii)

    \(\bigcup_{i=1}^{p}B_{i}\) is a cyclic representation of X with respect to f, and

  3. (iii)

    \(\varrho(d(fx,fy),d(x,y))>0\) for all \(x\in B_{i}\), \(y\in B_{i+1}\), \(1\leq i\leq p\), where \(B_{p+1}=B_{1}\).

Meir-Keeler, Geraghty, and simulation contractions are typical examples of R-contractions that satisfy (\(\varrho_{3}\)). Consequently, the cyclic-R-contractions are a generalization of cyclic Meir-Keeler, cyclic Geraghty, cyclic manageable, and cyclic simulative contractions.

In this paper, we prove a fixed point result for cyclic R-contractions. Our result extends and unifies fixed point results involving Boyd-Wong cyclic contractions, Meir-keeler cyclic contractions, and Geraghty cyclic contraction mappings. Applying our result, we obtain the existence of solutions of nonlinear Volterra integro differential equations.

2 Main results

We start with the following result.

Theorem 2.1

Let \((X,d)\) be a complete metric space, and \(B_{1}, B_{2},\ldots ,B_{p}\in P_{cl}(X)\). Suppose that a mapping f is a cyclic R-contraction on \(\bigcup_{i=1}^{p} B_{i}\). Then there exists a unique element \(z\in\bigcap_{i=1}^{p} B_{i}\) such that \(f(z)=z\).

Proof

Let \(x_{0}\) be a given point in \(\bigcup_{i=1}^{p}B_{i}\). Then there exists \(i_{0}\) in \(\{1,2,\ldots ,p\}\) such that \(x_{0}\in B_{i_{0}}\). Since \(f(B_{i_{0}})\subset B_{i_{0}+1}\), we have that \(f(x_{0})\in B_{i_{0}+1}\). Thus, there exists \(x_{1}\in B_{i_{0}+1}\) with \(f(x_{0})=x_{1}\). Similarly, there exists \(x_{2}\in B_{i_{0}+2}\) with \(f(x_{1})=x_{2}\). Continuing in this way, we can construct a sequence in \(\bigcup_{i=1}^{p}B_{i}\) by \(x_{n}=f(x_{n-1})=f^{n}(x_{0})\in B_{i_{0}+n}\) for all \(n\in\mathbb{N}\). Now, if \(x_{n+1}=x_{n}\) for some \(n\in\mathbb{N}\), then the result follows immediately. Suppose that \(x_{n+1}\neq x_{n}\) for all \(n\in\mathbb {N}\). Note that

$$ \varrho\bigl(d(fx_{n-1},fx_{n}),d(x_{n-1},x_{n}) \bigr)=\varrho \bigl(d(x_{n},x_{n+1}),d(x_{n-1},x_{n}) \bigr)>0\quad \mbox{for all } n\in\mathbb{N}. $$

From property (\(\varrho_{1}\)) of an R-function we have

$$ \lim_{n\rightarrow\infty}d(x_{n},x_{n+1})=0. $$
(2.1)

We now show that \(\{x_{n}\}\) is a Cauchy sequence. If not, then there exists \(L>0\) such that for any \(k\in \mathbb{N} \), we can construct two subsequences \(\{x_{m_{k}}\}\) and \(\{x_{n_{k}}\} \) of \(\{x_{n}\}\) with \(n_{k}>m_{k}\geq k\) satisfying

$$d(x_{m_{k}},x_{n_{k}})>L. $$

Without any loss of generality, we assume that \(n_{k}\) is the smallest integer greater than \(m_{k}\) for which the last inequality holds. We can choose \(j_{k}\in\{1,2,\ldots,p\}\) such that \(n_{k}>m_{k}>\) \(m_{k}-j_{k}\) with \(n_{k}\) belonging to the residue class of \(m_{k}-j_{k}+1\), and hence \(x_{m_{k}-j_{k}}\) and \(x_{n_{k}}\) lie in different adjacently labeled sets \(B_{i}\) and \(B_{i+1}\) for some \(i\in\{1,2,\ldots,p\}\). Thus,

$$ d(x_{m_{k}-j_{k}},x_{n_{k}})>L\quad \mbox{and}\quad d(x_{m_{k}-j_{k}},x_{n_{k}-2}) \leq L \quad \mbox{for all } k\in\mathbb{N}. $$
(2.2)

By (2.2) we have

$$\begin{aligned} L < &d(x_{m_{k}-j_{k}},x_{n_{k}}) \\ < &d(x_{m_{k}-j_{k}},x_{n_{k}-2})+d(x_{n_{k}-2},x_{n_{k}-1})+d(x_{n_{k}-1},x_{n_{k}}) \\ \leq&L+d(x_{n_{k}-2},x_{n_{k}-1})+d(x_{n_{k}-1},x_{n_{k}}). \end{aligned}$$
(2.3)

Taking the limit as \(k\rightarrow\infty\) on both sides of this inequality, we have

$$ \lim_{k\rightarrow\infty}d(x_{m_{k}-j_{k}},x_{n_{k}})=L. $$
(2.4)

Similarly,

$$ \begin{aligned}[b] L &< d(x_{m_{k}-j_{k}},x_{n_{k}}) \\ &< d(x_{m_{k}-j_{k}},x_{m_{k}-j_{k}-1})+d(x_{m_{k}-j_{k}-1},x_{n_{k}-1})+d(x_{n_{k}-1},x_{n_{k}}). \end{aligned} $$
(2.5)

Also,

$$ d(x_{m_{k}-j_{k}-1},x_{n_{k}-1})\leq d(x_{m_{k}-j_{k}-1},x_{m_{k}-j_{k}})+d(x_{m_{k}-j_{k}},x_{n_{k}})+d(x_{n_{k}},x_{n_{k}-1}). $$
(2.6)

Taking the limit as \(k\rightarrow\infty\) on both sides of (2.5) and (2.6), we obtain that

$$ \lim_{k\rightarrow\infty}d(x_{m_{k}-j_{k}-1},x_{n_{k}-1})=L. $$
(2.7)

Now, since

$$\begin{aligned}& d(x_{m_{k}-j_{k}},x_{n_{k}})>L \quad \mbox{for all } k\in\mathbb{N}, \\& \lim_{k\rightarrow\infty}d(x_{m_{k}-j_{k}-1},x_{n_{k}-1})= \lim_{k\rightarrow\infty}d(x_{m_{k}-j_{k}},x_{n_{k}})=L, \quad \text{and} \\& \varrho\bigl( d( f x_{{m_{k}}-j_{k}-1}, f x_{{n_{k}}-1}), d( x_{{m_{k}}-j_{k}-1}, x_{{n_{k}}-1}) \bigr)= \varrho\bigl( d( x_{{m_{k}}-j_{k}}, x_{{n_{k}}}), d( x_{{m_{k}}-j_{k}-1}, x_{{n_{k}}-1}) \bigr)>0, \end{aligned}$$

then by property (\(\varrho_{2}\)) of an R-function, we conclude that \(0=L>0\), a contradiction. Hence, \(\{x_{n}\}\) is a Cauchy sequence in X. Since \((X,d)\) is complete, there exists \(\gamma \in X\) such that \(\lim_{n\rightarrow\infty}x_{n}=\gamma\). Since \(\bigcup_{i=1}^{p}B_{i}\) is a cyclic representation of X with respect to f, there exist subsequences \(\{x_{n_{p}}\}, \{x_{n_{p+1}}\}, \{ x_{n_{p+2}}\}, \ldots, \{x_{n_{p+p-2}}\}, \{x_{n_{p+p-1}}\}\), and \(\{x_{n_{p+p}}\}\) of \(\{x_{n}\}\) such that \(\{x_{n_{p}}\}\subset B_{1}, \{x_{n_{p+1}}\}\subset B_{2}, \{x_{n_{p+2}}\}\subset B_{3}, \ldots, \{x_{n_{p+p-2}}\}\subset B_{p-1}, \{x_{n_{p+p-1}}\}\subset B_{p}\), and \(\{x_{n_{p+p}}\}\subset B_{p+1}= B_{1}\). Since each \(B_{i}\), \(i\in\{1,2,3,\ldots,p\}\), is a closed subset of X and \(\lim_{n\rightarrow\infty}x_{n}=\gamma\), we deduce that \(\gamma\in\bigcap_{i=1}^{p}B_{i}\).

Note that for each \(n\in\mathbb{N}\), there exists \(i_{n}\in\{ 1,2,\ldots ,p\} \) such that \(x_{n-1}\in B_{i_{n-1}}\), \(x_{n}\in B_{i_{n}}\), and \(\gamma\in B_{i_{n}}\). Thus,

$$ \varrho\bigl(d(f\gamma,fx_{n-1}),d(\gamma,x_{n-1})\bigr)= \varrho\bigl(d(f\gamma ,x_{n}),d(\gamma,x_{n-1})\bigr)>0 \quad \mbox{for all } n\in\mathbb{N}. $$

Using property (\(\varrho_{1}\)) of an R-function, we obtain that \(\lim_{n\rightarrow\infty}d(f\gamma,x_{n})=d(f\gamma ,\gamma )=0\).

Therefore, γ is a fixed point of f in \(\bigcap_{i=1}^{p}B_{i} \).

Uniqueness: Suppose that there exists another fixed point \(x^{\ast}\) of f in \(\bigcap_{i=1}^{p}B_{i}\), that is, \(d(x^{\ast},\gamma)>0\) and \(d(f\gamma ,fx^{\ast})=d(\gamma,x^{\ast})\). Since f is a cyclic R-contraction, we have

$$ \varrho\bigl(d\bigl(f\gamma,fx^{\ast}\bigr),d\bigl(\gamma,x^{\ast} \bigr)\bigr)>0. $$

By property (\(\varrho_{1}\)) of an R-function we have \(0< d(x^{\ast},\gamma)=\lim_{n\rightarrow\infty}d(x^{\ast },\gamma)=0\), a contradiction. This establishes the result. □

Example 2.2

Let \(X=\mathbb{R}\) be endowed with the Euclidean metric \(d(x,y)=\vert x-y\vert \) for all \({x,y\in X}\). Suppose that \(B_{1}=[-1,0]\), \(B_{2}=[0,1]\), and \(A=\operatorname {ran}(d)\subset[0,\infty)\). Define \(f:\bigcup_{i=1}^{2}B_{i}\rightarrow\bigcup_{i=1}^{2}B_{i}\) and \(\varrho:A\times A\rightarrow \mathbb{R}\) as

$$ f(x)=-\frac{x}{5}\quad \text{and}\quad \varrho(t,s)= \textstyle\begin{cases} \frac{1}{2}s-t&\text{if } t< s, \\ 0&\text{if } t\geq s.\end{cases} $$

Note that \((X,d)\) is a complete space and \(B_{1}\) and \(B_{2}\) are closed in X. If \(x\in B_{1}\), that is, \(-1\leq x\leq0\), then \(0\leq-\frac {x}{5}\leq \frac{1}{5}\) implies that \(f(x)\in B_{2}\). Similarly, if \(x\in B_{2}\), that is, \(0\leq x\leq1\), then \(-\frac{1}{5}\leq-\frac{x}{5}\leq0\) implies that \(f(x)\in B_{1}\).

Further, \(\varrho(d(fx,fy),d(x,y))=\frac{1}{2}d(x,y)-d(fx,fy)=\frac {3}{10}\vert x-y\vert >0\) for all \(x\in B_{1}\), \(y\in B_{2}\). Thus, all conditions of Theorem 2.1 are satisfied. Moreover, \(z=0\in\bigcap_{i=1}^{2}B_{i}\) is a fixed point of f.

Example 2.3

Let \(X=\mathbb{R}\) and \(d(x,y)=\vert x-y\vert \) for all \(x,y\in X\). Suppose that \(B_{1}=\{\frac{1}{2n}\}_{n\in\mathbb{N}\cup\{0\}}\), \(B_{2}=\{ -\frac{1}{2n-1}\}_{n\in\mathbb{N}\cup\{0\}}\), and \(A=\operatorname {ran}(d)\subset[ 0,\infty )\). Define \(f:\bigcup_{i=1}^{2}B_{i}\rightarrow\bigcup_{i=1}^{2}B_{i}\) and \(\varrho:A\times A\rightarrow\mathbb{R}\) as

$$ f(x)=\textstyle\begin{cases} -\frac{x}{4}&\text{if } x\in B_{1}, \\ -\frac{x}{5}&\text{if } x\in B_{2},\end{cases}\displaystyle \quad \text{and}\quad \varrho(t,s)=\textstyle\begin{cases} \frac{1}{2}s-t&\text{if } t< s, \\ 0&\text{if } t\geq s.\end{cases} $$

It is clear that \(B_{1}\) and \(B_{2}\) are closed subsets of a complete metric space \((X,d)\) such that \(f(B_{1})\subset B_{2}\) and \(f(B_{2})\subset B_{1}\). Note that

$$\begin{aligned} \varrho\bigl(d(fx,fy),d(x,y)\bigr) =&\frac{1}{2}d(x,y)-d(fx,fy) \\ =&\frac{1}{2}\vert x-y\vert -\biggl\vert \frac{x}{4}- \frac{y}{5}\biggr\vert \\ >&\frac{1}{2}\vert x-y\vert -\biggl\vert \frac{x}{4}- \frac{x}{20}-\frac {y}{5}\biggr\vert \\ =&\frac{3}{10}\vert x-y\vert >0 \end{aligned}$$

for all \(x\in B_{1}\), \(y\in B_{2}\). Hence, all conditions of Theorem 2.1 are satisfied, and \(z=0\in\bigcap_{i=1}^{2}B_{i}\) is a fixed point of f.

Remark 2.4

In this example, the mapping is a cyclic R-contraction that is neither a Meir-Keeler cyclic contraction nor a simulative cyclic contraction and hence neither a Boyd-Wong nor a Geraghty cyclic contraction. Indeed, if we take \(t=s=1\), then (\(\zeta_{2}\)) fails.

Corollary 2.5

Let \((X,d)\) be a complete metric space, and \(B_{1},B_{2},\ldots,B_{p}\in P_{cl}(X)\). Suppose that a mapping f is a manageable cyclic contraction, or a simulative cyclic contraction, or a Geraghty cyclic contraction, or a Boyd-Wong cyclic contraction, or a Meir-Keeler cyclic contraction on \(\bigcup_{i=1}^{p}B_{i}\). Then there exists a unique element \(z\in \bigcap_{i=1}^{p}B_{i}\) such that \(f(z)=z\).

3 Application to nonlinear Volterra integral equations

Motivated by the work in [17], we obtain the existence and uniqueness of solutions for nonlinear Volterra integral differential equations.

Consider the following problem:

$$ u(x,y)=f(x,y)+ \int_{0}^{x}g\bigl(x,y,\xi,u(\xi,y)\bigr)\,d\xi + \int_{0}^{x} \int_{0}^{y}h\bigl(x,y,\sigma,\tau,u(\sigma,\tau) \bigr)\,d\tau \,d\sigma, $$
(3.1)

where \(f\in C(\mathbb{R}^{+}\times\mathbb{R}^{+}, \mathbb{R})\), \(g\in C(E_{1}\times\mathbb{R}^{+}, \mathbb{R})\), \(h\in C(E_{2}\times\mathbb {R}^{+}, \mathbb{R})\), \(E_{1}=\{f(x,y,s):s\leq x\in{}[0,\infty), y\in {}[ 0,\infty)\}\), and \(E_{2}=\{f(x,y,s,t):s\leq x\in{}[0,\infty), t\leq y\in{}[0,\infty)\}\).

Let X be the space of functions \(z\in C(\mathbb{R}^{+}\times\mathbb {R}^{+},\mathbb{R})\) satisfying \(\vert z(x, t)\vert =O(e^{\lambda(x+y)})\), where λ is a positive constant, that is, \(\vert z(x, y)\vert \leq M_{0} e^{\lambda(x+y)}\) for some constant \(M_{0}>0\).

Define the norm on X by \(\Vert z\Vert _{X}=\sup_{(x,y) \in (\mathbb{R}^{+}\times\mathbb{R}^{+})}\{ \vert z(x, y)\vert e^{-\lambda(x+y)} \}\).

Note that \((X,\Vert \cdot \Vert _{X})\) is a Banach space. Define the mapping \(T:X\rightarrow X\) by

$$ T\bigl(u(x,y)\bigr)=f(x,y)+ \int_{0}^{x}g\bigl(x, y, \xi, u(\xi, y)\bigr)\,d\xi + \int_{0}^{x} \int_{0}^{y}h\bigl(x, y, \sigma, \tau, u(\sigma, \tau)\bigr)\,d\tau \,d\sigma $$

for every \(u\in X\). It is easy to see that \(u^{\ast}\in X\) is a solution of problem (3.1) if \(T(u^{\ast})=u^{\ast}\).

Theorem 3.1

Suppose that problem (3.1) satisfies the following conditions:

  1. (I)
    $$ \bigl\vert g(x,y,\xi,u)-g(x,y,\xi, \bar{u})\bigr\vert \leq h_{1}(x,y,\xi)\vert u-\bar{u}\vert $$

    and

    $$ \bigl\vert h(x,y, \sigma, \tau,u)-h(x,y, \sigma, \tau, \bar{u})\bigr\vert \leq h_{2}(x,y, \sigma,\tau)\vert u-\bar{u}\vert , $$

    where \(h_{1}\in C(E_{1}, [0,\infty))\) and \(h_{2}\in C(E_{2}, [0,\infty ))\);

  2. (II)

    There exist α, β in X and \(\alpha_{0}\), \(\beta_{0}\) in \(\mathbb{R}\) with \(\alpha_{0}\leq\alpha(x,t)\leq\beta(x,t)\leq\beta _{0}(x,t)\) such that

    $$ \alpha(x,t)\leq f(x,t)+ \int_{0}^{x}g\bigl(t,s, \xi,\beta(\xi, s)\bigr)\,d \xi + \int_{0}^{x} \int_{0}^{y}h\bigl(t, s, \sigma, \tau, \beta(\sigma, \tau )\bigr)\,d\tau \,d\sigma $$

    and

    $$ \beta(x,t)\geq f(x,t)+ \int_{0}^{x}g\bigl(t, s, \xi,\alpha(\xi, s)\bigr)\,d \xi + \int_{0}^{x} \int_{0}^{y}h\bigl(t, s, \sigma, \tau, \alpha( \sigma, \tau )\bigr)\,d\tau \,d\sigma $$

    for all \(x,t\in{}[0,\infty)\);

  3. (III)
    $$ \int_{0}^{x}h_{1}(x,y,\xi)e^{\lambda(x+y)} \,d\xi + \int_{0}^{x} \int_{0}^{y}h_{2}(x, y, \sigma, \tau)e^{\lambda(\sigma +\tau )}\,d\tau \,d\sigma\leq\delta_{1}e^{\lambda(x+y)} $$

    and

    $$ \biggl\vert f(x,t)+ \int_{0}^{x}g(x,y,\xi,0)\,d\xi + \int_{0}^{x} \int_{0}^{y}h(x, y, \sigma, \tau, 0)\,d\tau \,d \sigma\biggr\vert \leq \delta_{2}e^{\lambda(x+y)} $$

    for some nonnegative constants \(\delta_{1},\delta_{2}<1\);

  4. (IV)

    There exist α, β in X such that \(\alpha(t)\leq\beta (t)\), \(T(\alpha(x,t))\leq\beta(x, t)\), and \(T(\beta(x,t))\geq \alpha (x,t)\). Then the integral Eq. (3.1) has a unique solution \(u^{\ast}\) in \(\varpi=\{u\in X:\alpha(x,y)\leq u(x,y)\leq\beta(x,y)\}\).

Proof

Let \(B_{1}=\{u\in X:u(x,t)\leq\beta(x,t)\}\) and \(B_{2}=\{u\in X:u(x,t)\geq \alpha(x,t)\}\). Then \(B_{1}\) and \(B_{2}\) are closed subsets of the complete metric space X. If \(u\in B_{1}\), then by conditions (I), (II), and (IV) we conclude that \(T(u(x,t))\geq\alpha(x,t)\). Hence, \(Tu\in B_{2}\). Similarly, \(u\in B_{2}\) implies that \(Tu\in B_{1}\), and hence \(T(B_{1})\subset B_{2}\) and \(T(B_{2})\subset B_{1}\).

If \(u\in B_{1}\) and \(v\in B_{2}\), then \(u(x,t)\leq\beta(x,t)\leq\beta _{0} \) and \(v(x,t)\geq\alpha(x,t)\geq\alpha_{0}\). From conditions (I) and (III) we obtain that

$$ \bigl\Vert T\bigl(u(x,y)\bigr)-T\bigl(v(x,y)\bigr)\bigr\Vert _{X} \leq\delta_{1}\Vert u-v\Vert _{X}e^{\lambda(x+y)}. $$

Thus,

$$ \Vert Tu-Tv\Vert _{X}\leq\varsigma \Vert u-v\Vert _{X}e^{\lambda(x+y)} ,\quad \text{where } \varsigma=\delta_{1}< 1. $$

Taking \(\varrho(t,s)=\varsigma s-t\), we have

$$ \varrho\bigl(\Vert Tu-Tv\Vert _{X},\Vert u-v\Vert _{X}\bigr)=\varsigma \Vert u-v\Vert _{X}-\Vert Tu-Tv \Vert _{X}>0,\quad u\neq v. $$

Consequently, T is a cyclic R-contraction on \(\bigcup_{i=1}^{2}B_{i}\). By Theorem 2.1, T has a unique fixed point \(u^{\ast}\) in \(\bigcap_{i=1}^{2}B_{i}\in\varpi\), which is the solution of the integral-differential Eq. (3.1). □