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New generalizations of Darbo’s fixed point theorem

Abstract

In this paper, we propose a new idea to investigate the important basic problem: how to extend Darbos fixed point theorem? We establish some new generalizations of Darbo’s fixed point theorem by using ‘integral conditions’. Our fixed point theorems extend the existing results on the problem above.

1 Introduction

It is well known that the Schauder fixed point theorem plays an important role in nonlinear analysis. In 1955, Darbo [1] proved a fixed point property for α-set contraction on a closed, bounded and convex subset of Banach spaces in terms of the measure of noncompactness, which was first defined by Kuratowski [2]. Darbo’s fixed point theorem is a significant extension of the Schauder fixed point theorem, and it also plays a key role in nonlinear analysis especially in proving the existence of solutions for a lot of classes of nonlinear equations. Since then, some generalizations of Darbo’s fixed point theorem have appeared. For example, we refer the reader to [36] and the references therein.

In this paper, we propose a new idea to investigate the important basic problem: how to extend Darbos fixed point theorem? We establish some new generalizations of Darbo’s fixed point theorem by using ‘integral conditions’. Our fixed point theorems extend the existing results on the problem above.

First of all, let us recall some basic concepts, notations and known results which will be used in the sequel. In this paper, we let E be a Banach space with the norm \(\| \cdot\|\) and 0 be the zero element in E. The closed ball centered at x with radius r is denoted by \(B(x,r)\), by simply \(B_{r}\) if \(x=0\). If X is a nonempty subset of E, then we denote by and \(\operatorname{co}(X)\) the closure and closed convex hull of X, respectively. Moreover, let \(\mathfrak{M}_{E}\) be the family of all nonempty compact subsets of E.

We use the following definition of the measure of noncompactness, which is in the form of an axiomatic way.

Definition 1.1

A mapping \(\mu:\mathfrak{M}_{E}\to R_{+}=[0,+\infty)\) is said to be a measure of noncompactness in E if it satisfies the following conditions:

  1. (1)

    the subfamily

    $$\operatorname{ker}\mu=\bigl\{ X\in\mathfrak{M}_{E}:\mu(X)=0\bigr\} $$

    is nonempty and \(\operatorname{ker}\mu\subset\mathfrak{M}_{E}\);

  2. (2)

    if \(X\subset Y\), then \(\mu(X)\leq\mu(Y)\);

  3. (3)

    \(\mu(\bar{X})=\mu(X)\);

  4. (4)

    \(\mu(\operatorname{co}(X))=\mu(X)\);

  5. (5)

    \(\mu(\lambda X+(1-\lambda)Y)\leq\lambda\mu(X)+(1-\lambda )\mu(Y)\) for \(\lambda\in[0,1]\);

  6. (6)

    if \(\{X_{n}\}\) is a nested sequence of closed sets in \(\mathfrak{M}_{E}\) and \(\lim_{n\to\infty}\mu(X_{n})=0\), then the intersection set \(X_{\infty}=\bigcap^{\infty}_{n=1}X_{n}\) is nonempty.

The subfamily kerμ defined in (1) represents the kernel of the measure μ of noncompactness and since

$$\mu(X_{\infty})=\mu\Biggl(\bigcap^{\infty}_{n=1}X_{n} \Biggr)\leq\mu(X_{n}), $$

we see that

$$\mu\Biggl(\bigcap^{\infty}_{n=1}X_{n} \Biggr)=0. $$

Therefore, \(X_{\infty}\in \operatorname{ker}\mu\).

Definition 1.2

Let \(\Psi,\Phi:[0,+\infty)\to R \) be two functions. The pair of functions \((\Psi,\Phi)\) is said to be a pair of shifting distance functions if the following conditions hold.

  1. (1)

    For \(u,v\in[0,+\infty)\) if \(\Psi(u)\leq\Phi(v)\), then \(u\leq v\).

  2. (2)

    For \(u_{n},v_{n}\in[0,+\infty)\) with

    $$\lim_{n\to\infty}u_{n}=\lim_{n\to\infty}v_{n}=w, $$

    if \(\Psi(u_{n})\leq\Phi(v_{n})\) for all n, then \(w=0\).

Example 1.3

Take

$$\Psi(t)=\frac{-1+2t}{2},\qquad \Phi(t)=\frac{-1+t}{2}. $$

Then it is clear that they are a pair of shifting distance functions.

Theorem 1.4

(Schauder’s fixed point theorem)

Let Ω be a nonempty, bounded, closed and convex subset of a Banach space E. Then each continuous and compact map \(F:\Omega\to\Omega\) has at least one fixed point in Ω.

As a generalization of the Schauder fixed point theorem, we have the following fixed point theorem.

Theorem 1.5

(Darbo’s fixed point theorem)

Let Ω be a nonempty, bounded, closed and convex subset of a Banach space E and let \(T:\Omega\to\Omega\) be a continuous mapping. Assume that there exists a constant \(k\in[0,1)\) such that

$$\mu(TX)\leq k\mu(X) $$

for any nonempty subset X of Ω, where μ is a measure of noncompactness defined in E. Then T has at least one fixed point in Ω.

2 Main results

In this section, we present and prove our new generalizations of Darbo’s fixed point theorem.

Theorem 2.1

Let Ω be a nonempty, closed, bounded and convex subset of a Banach space E and let \(T:\Omega\to\Omega\) be a continuous mapping which satisfies the following inequality:

$$ \Psi \biggl(\int^{\mu(TX)}_{0} \varphi(t)\,dt \biggr) \leq\Phi \biggl(\int^{\mu (X)}_{0}\varphi(t)\,dt \biggr) $$

for any nonempty subset X of Ω, where μ is an arbitrary measure of noncompactness and \(\Psi,\Phi:[0,+\infty)\to R \) are a pair of shifting distance functions. Moreover, let \(\varphi:[0,+\infty)\to[0,+\infty]\) be a Lebesgue-integrable function, which is summable on each compact subset of \([0,+\infty)\) and

$$\int^{\varepsilon}_{0} \varphi(t)\,dt>0\quad \textit{for each } \varepsilon>0. $$

Then T has at least one fixed point in Ω.

Proof

Define a sequence \(\{\Omega_{n}\}\) as follows:

$$\Omega_{0}=\Omega \quad \text{and} \quad \Omega_{n}= \operatorname{co}(T\Omega_{n-1}),\quad n\geq1. $$

If there exists an integer \(N\geq0\) such that \(\mu(\Omega_{N})=0\), then \(\Omega_{N}\) is compact and since \(T(\Omega_{N})\subseteq\Omega_{N}\). Thus Theorem 1.4 implies that T has a fixed point.

Next, we suppose that

$$\mu(\Omega_{n})>0 \quad \mbox{for all }n\geq0. $$

Then

$$\begin{aligned} \Psi \biggl(\int^{\mu(\Omega_{n+1})}_{0} \varphi(t)\,dt \biggr) &=\Psi \biggl(\int^{\mu(\operatorname{co}(T\Omega_{n}))}_{0} \varphi(t)\,dt \biggr) \\ & =\Psi \biggl(\int^{\mu(T\Omega_{n})}_{0} \varphi(t)\,dt \biggr) \\ & \leq\Phi \biggl(\int^{\mu(\Omega_{n})}_{0} \varphi(t)\,dt \biggr) \end{aligned}$$

hence we infer that \(\{\int^{\mu(\Omega_{n})}_{0} \varphi(t)\,dt \}\) is a decreasing sequence of positive real numbers by (1) of Definition 1.2. Thus there exists \(r\geq0\) such that both \(\int^{\mu(\Omega_{n})}_{0} \varphi(t)\,dt \) and \(\int^{\mu(\Omega_{n+1})}_{0} \varphi(t)\,dt \) converge to r as \(n\to\infty\). Then, in view of the above inequality and (2) of Definition 1.2, we get \(r=0\) and hence

$$\lim_{n\to\infty}\int^{\mu(\Omega_{n})}_{0} \varphi(t)\,dt =0. $$

But for any \(\varepsilon>0\), \(\int^{\varepsilon}_{0} \varphi(t)\,dt>0\), thus \(\mu(\Omega_{n})\to0\) as \(n\to\infty\).

Now since \(\Omega_{n}\) is a nested sequence, in view of (6) of Definition 1.1, we conclude that \(\Omega_{\infty}=\bigcap^{\infty}_{n=1}\Omega_{n}\) is a nonempty, closed and convex subset of Ω. Moreover, we know that \(\Omega_{\infty}\) belongs to kerμ. So \(\Omega_{\infty}\) is compact and invariant under the mapping T. Consequently, Theorem 1.4 implies that T has a fixed point in \(\Omega_{\infty}\). Since \(\Omega_{\infty}\subset\Omega\), the proof is completed then. □

Remark 2.2

Take \(\varphi(t)=1\) for \(t\in[0,\infty)\) in Theorem 2.1. Then

$$\Psi \biggl(\int^{\mu(TX)}_{0} \varphi(t)\,dt \biggr)= \Psi\bigl(\mu(TX)\bigr)\leq\Phi\bigl(\mu (X)\bigr)=\Phi \biggl(\int ^{\mu(X)}_{0}\varphi(t)\,dt \biggr), $$

then Theorem 6 of [4] is obtained.

Remark 2.3

Take

$$\varphi(t)=1, \qquad \Psi(t)=t,\qquad \Phi(t)=kt \quad \mbox{for }t\in [0,\infty) \mbox{ and }k\in[0,1) $$

in Theorem 2.1. Then we have

$$\mu(TX)=\Psi \biggl(\int^{\mu(TX)}_{0} \varphi(t)\,dt \biggr)\leq\Phi \biggl(\int^{\mu(X)}_{0}\varphi(t)\,dt \biggr)=k\mu(X), $$

thus we get Darbo’s fixed point theorem.

Remark 2.4

Set \(\Psi(t)=t\), \(t\in[0,\infty)\). Let the function Φ satisfy

$$\lim_{n\to\infty}\Phi^{n}(t)=0 \quad \mbox{for any }t\geq0. $$

Then we have

$$\int^{\mu(TX)}_{0} \varphi(t)\,dt=\Psi \biggl(\int ^{\mu(TX)}_{0} \varphi (t)\,dt \biggr)\leq\Phi \biggl( \int^{\mu(X)}_{0}\varphi(t)\,dt \biggr), $$

thus we get Theorem 2.1 of [3].

Remark 2.5

It is easy to verify that Ψ and Φ constructed above are a pair of shifting distance functions.

Corollary 2.6

Let Ω be a nonempty, closed, bounded and convex subset of a Banach space E and let \(T:\Omega\to\Omega\) be a mapping which satisfies the following inequality:

$$ \Psi \biggl(\int^{\| Tx-Ty\|}_{0} \varphi(t)\,dt \biggr) \leq\Phi \biggl(\int^{\| x-y\|}_{0}\varphi(t)\,dt \biggr) \quad \textit{for each } x,y\in\Omega, $$

where \(\Psi,\Phi:[0,+\infty)\to R \) are a pair of shifting distance functions. Moreover, let \(\varphi:[0,+\infty)\to[0,+\infty]\) be a Lebesgue-integrable function, which is summable on each compact subset of \([0,+\infty)\) and

$$\int^{\varepsilon}_{0} \varphi(t)\,dt>0 \quad \textit{for each }\varepsilon>0. $$

Then T has at least one fixed point in Ω.

Proof

Define \(\mu:\mathfrak{M}_{E}\to R_{+}\), \(\mu(X)=\operatorname{diam}(X)\), \(X\in\mathfrak{M}_{E}\), where \(\operatorname{diam}(X)\) is the diameter of the set X. It is easy to verify that μ is a measure of noncompactness on the space E. By assumption, we have

$$\Psi \biggl(\int^{ \sup_{x,y\in X}\| Tx-Ty\|}_{0} \varphi(t)\,dt \biggr) \leq\Phi \biggl(\int^{\sup_{x,y\in X}\| x-y\|}_{0}\varphi(t)\,dt \biggr), $$

thus we get

$$\Psi \biggl(\int^{\mu(TX)}_{0} \varphi(t)\,dt \biggr) \leq\Phi \biggl(\int^{\mu (X)}_{0}\varphi(t)\,dt \biggr). $$

By Theorem 2.1 we get the result about T. □

Now, motivated by the contractive condition in Theorem 3.1 of [7], we present another generalization of Darbo’s fixed point theorem as follows.

Theorem 2.7

Let Ω be a nonempty, closed, bounded and convex subset of a Banach space E and let \(T:\Omega\to\Omega\) be a continuous mapping which satisfies the following inequality:

$$ \Psi \biggl(\int^{\mu(TX)}_{0} \varphi(t)\,dt \biggr) \leq\Psi \biggl(\int^{\mu (X)}_{0}\varphi(t)\,dt \biggr)- \Phi \biggl(\int^{\mu(X)}_{0}\varphi(t)\,dt \biggr) $$

for any nonempty subset X of Ω, where μ is a measure of noncompactness and \(\Psi,\Phi:R_{+}\to R_{+}\) are given functions such that Φ is lower semicontinuous and Ψ is nondecreasing and continuous. Moreover, \(\Phi(0)=0\) and \(\Phi (t)>0\) for \(t>0\), and \(\varphi:[0,+\infty)\to[0,+\infty]\) is a Lebesgue-integrable function, which is summable on each compact subset of \([0,+\infty)\) and

$$\int^{\varepsilon}_{0} \varphi(t)\,dt>0 \quad \textit{for each }\varepsilon>0. $$

Then T has at least one fixed point in Ω.

Proof

Consider the sequence \(\{\Omega_{n}\}\) defined by

$$\Omega_{0}=\Omega, \qquad \Omega_{n}=\operatorname{co}(T \Omega_{n-1}) \quad \mbox{for }n\geq0. $$

If there exists a natural number \(n_{0}\) such that \(\mu(\Omega_{n_{0}})=0\), then \(\Omega_{n_{0}}\) is compact. The Schauder fixed point theorem ensures that T has a fixed point in Ω. So, we assume that \(\mu(\Omega_{n})>0\) for \(n=1,2,3,\ldots \) . Note that

$$\begin{aligned} \Psi \biggl(\int^{\mu(\Omega_{n+1})}_{0} \varphi(t)\,dt \biggr)&= \Psi \biggl(\int^{\mu(\operatorname{co}(T\Omega_{n}))}_{0} \varphi(t)\,dt \biggr) =\Psi \biggl(\int^{\mu (T\Omega_{n})}_{0} \varphi(t)\,dt \biggr) \\ & \leq\Psi \biggl(\int^{\mu(\Omega_{n})}_{0}\varphi(t)\,dt \biggr)-\Phi \biggl(\int^{\mu(\Omega_{n})}_{0}\varphi(t)\,dt \biggr). \end{aligned}$$

Since \(\Phi(t)\geq0\) for any \(t\in[0,+\infty)\). Then

$$\Psi \biggl(\int^{\mu(\Omega_{n+1})}_{0} \varphi(t)\,dt \biggr) \leq\Psi \biggl(\int^{\mu(\Omega_{n})}_{0}\varphi(t)\,dt \biggr). $$

Hence the positive sequence \(\{\int^{\mu(\Omega_{n})}_{0} \varphi(t)\,dt\}\) is decreasing, thus is convergent. Let

$$\lim_{n\to\infty}\int^{\mu(\Omega_{n})}_{0} \varphi(t)\,dt=r. $$

Take limit on both sides of the above inequality. Then

$$\Psi(r)\leq\Psi(r)-\lim_{n\to\infty}\Phi \biggl(\int ^{\mu(\Omega _{n})}_{0} \varphi(t)\,dt \biggr). $$

Thus

$$\lim_{n\to\infty}\Phi\biggl(\int^{\mu(\Omega_{n})}_{0} \varphi(t)\,dt\biggr)=0. $$

By the hypothesis of Φ, we have

$$\lim_{n\to\infty}\int^{\mu(\Omega_{n})}_{0} \varphi(t)\,dt=0. $$

By a similar argument of Theorem 2.1, we get our result. □

Remark 2.8

When \(\varphi(t)=1\), we get Theorem 2.1 of [4].

Theorem 2.9

Let Ω be a nonempty, closed, bounded and convex subset of a Banach space E and let \(T:\Omega\to\Omega\) be a continuous mapping which satisfies the following inequality:

$$ \Psi \biggl(\int^{\mu(TX)}_{0} \varphi(t)\,dt \biggr) \leq\Phi \biggl(\int^{\mu (X)}_{0}\varphi(t)\,dt \biggr)- \theta \biggl(\int^{\mu(X)}_{0}\varphi(t)\,dt \biggr) $$

for any nonempty subset X of Ω, where μ is a measure of noncompactness and \(\Psi,\Phi,\theta:R_{+}\to R_{+}\) are three functions such that Φ and θ are bounded on any bounded interval in \([0,+\infty)\) and Ψ is continuous. Moreover, assume that

  1. (1)

    \(\Psi(s)\leq\Phi(t)\Rightarrow s\leq t\);

  2. (2)

    \(\theta(t)=0\Leftrightarrow t=0\) and \(\theta\geq0\);

  3. (3)

    for any sequence \(\{s_{n}\}\) in \(R_{+}\) with \(s_{n}\to t>0\),

    $$\Psi(t)-\lim_{n\to\infty}\sup\Phi(s_{n})+\lim _{n\to\infty}\inf\theta(s_{n})>0. $$

Proof

Similar to the proof of Theorem 2.1, we have the same construction of the sequence \(\{\Omega_{n}\}\). Without loss of generality, we assume \(\mu(\Omega_{n})>0\) for all \(n\geq0\). Considering the above inequality, we have

$$\begin{aligned} \begin{aligned} \Psi \biggl(\int^{\mu(\Omega_{n+1})}_{0} \varphi(t)\,dt \biggr)&= \Psi \biggl(\int^{\mu(T\Omega_{n})}_{0} \varphi(t)\,dt \biggr) \\ & \leq\Phi \biggl(\int^{\mu(\Omega_{n})}_{0}\varphi(t)\,dt \biggr)-\theta \biggl(\int^{\mu(\Omega_{n})}_{0}\varphi(t)\,dt \biggr). \end{aligned} \end{aligned}$$

Since \(\theta\geq0\), we see that

$$\Psi \biggl(\int^{\mu(\Omega_{n+1})}_{0} \varphi(t)\,dt \biggr) \leq\Phi \biggl(\int^{\mu(\Omega_{n})}_{0}\varphi(t)\,dt \biggr), $$

which implies

$$\int^{\mu(\Omega_{n+1})}_{0} \varphi(t)\,dt\leq\int ^{\mu(\Omega_{n})}_{0}\varphi(t)\,dt $$

by condition (1). Thus \(\{\int^{\mu(\Omega_{n})}_{0}\varphi(t)\,dt\}\) is a positive but decreasing sequence. So there exists \(r\geq0\) such that

$$\lim_{n\to\infty}\int^{\mu(\Omega_{n})}_{0} \varphi(t)\,dt=r. $$

Therefore, by taking limit on both sides of the above inequality, we have

$$\Psi(r)\leq\lim_{n\to\infty}\sup\Phi \biggl(\int^{\mu(\Omega_{n})}_{0} \varphi (t)\,dt \biggr)+\lim_{n\to\infty}{\sup} -\theta \biggl(\int ^{\mu(\Omega_{n})}_{0}\varphi(t)\,dt \biggr). $$

Equivalently

$$\Psi(r)-\lim_{n\to\infty}\sup\Phi \biggl(\int^{\mu(\Omega_{n})}_{0} \varphi (t)\,dt \biggr) +\lim_{n\to\infty}\inf\theta \biggl(\int ^{\mu(\Omega_{n})}_{0}\varphi (t)\,dt \biggr)\leq0. $$

Therefore,

$$\lim_{n\to\infty}\int^{\mu(\Omega_{n})}_{0} \varphi(t)\,dt=r=0, $$

and by the property of φ, we get

$$\lim_{n\to\infty}\mu(\Omega_{n})=0. $$

By the same discussion in Theorem 2.1, we see that the conclusion of the theorem is true. □

Remark 2.10

When \(\varphi(t)=1\), we get Theorem 9 of [6].

Remark 2.11

Taking

$$\varphi(t)=1,\qquad \Psi(t)=t,\qquad \Phi(t)=t,\qquad \theta (t)=(1-k)t, \quad t \in[0,+\infty), k\in[0,1), $$

we get Darbo’s fixed point theorem.

Let \(\Psi(t)=t\) and \(\theta(t)=0\) in the above theorem, we have the following corollary.

Corollary 2.12

Let Ω be a nonempty, closed, bounded and convex subset of a Banach space E and let \(T:\Omega\to\Omega\) be a continuous mapping which satisfies the following inequality:

$$ \int^{\mu(TX)}_{0} \varphi(t)\,dt\leq\Phi \biggl(\int ^{\mu(X)}_{0}\varphi (t)\,dt \biggr) $$

for any nonempty subset X of Ω, where μ is a measure of noncompactness and \(\Phi:R_{+}\to R_{+}\) is bounded on any bounded interval in \([0,+\infty)\). Moreover, assume that \(x\leq\Phi(y)\) implies \(x\leq y\) and, for any sequence \(\{s_{n}\}\) in \([0,+\infty)\) with \(s_{n}\to t>0\),

$$\lim_{n\to\infty}\sup\Phi(s_{n})< t. $$

Then T has a fixed point.

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The authors acknowledge support from NSFC (No. 11171210).

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Cai, L., Liang, J. New generalizations of Darbo’s fixed point theorem. Fixed Point Theory Appl 2015, 156 (2015). https://doi.org/10.1186/s13663-015-0406-2

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