1 Introduction

This work is mainly concerned with fixed point theory of order-Lipschitz mappings in Banach algebras relating to the improvements of the Banach contraction principle which states that each Banach contraction on a complete metric space has a unique fixed point. Let \((X, d)\) be a metric space. A Banach contraction in a metric space (resp. a cone metric space) is also called a Lipschitz mapping with respect to the metric (resp. the cone metric); see [1]. Let P be a cone of a Banach algebra \((E,\Vert \cdot \Vert )\) and ⪯ the partial order in E introduced by P. A mapping \(T:E\rightarrow E\) is called an order-Lipschitz mapping if there exist \(l, k\in P\) such that the following Lipschitz condition with respect to the partial order is satisfied:

$$ -l(x-y)\preceq Tx-Ty\preceq k(x-y), \quad\forall x, y\in E,\quad\quad y\preceq x. $$
(1)

In particular when k, l are nonnegative real numbers, Sun [2] obtained the following fixed point theorem of order-Lipschitz mappings in Banach spaces by using the sandwich theorem in the sense of norm-convergence.

Theorem 1

(see [2])

Let P be a normal cone of a Banach space \((E,\Vert \cdot \Vert )\) and \(u_{0}, v_{0}\in E\) with \(u_{0}\preceq v_{0}\). Assume that \(T:[u_{0}, v_{0}]\rightarrow E\) is an order-Lipschitz mapping with \(l\in[0,+\infty)\) and \(k\in[0, 1)\) such that

$$ u_{0}\preceq Tu_{0},\quad\quad Tv_{0}\preceq v_{0}. $$
(2)

Then T has a unique fixed point \(x^{*}\in[u_{0}, v_{0}]\). And for each \(x_{0}\in[u_{0}, v_{0}]\), let \(\{x_{n}\}\) be the Picard iterative sequence (i.e., \(x_{n}=T^{n}x_{0}\) for each n), then we must have \(x_{n}\overset{\Vert \cdot \Vert }{\rightarrow} x^{*}\).

Remark 1

The normality of the cone is essential for ensuring that the sandwich theorem holds in the sense of norm-convergence which plays an important role in the proof of Theorem 1. However, if P is non-normal then the sandwich theorem does not hold in the sense of norm-convergence, and consequently, the method used in the proof of Theorem 1 may become invalid.

Krasnoselskii and Zabreiko [3] considered order-Lipschitz mappings in Banach spaces restricted with linear bounded mappings (i.e., k, l are linear bounded mappings), and proved the following fixed point theorem by using the Banach contraction principle.

Theorem 2

(see [3])

Let P be a normal solid cone of a Banach space \((E,\Vert \cdot \Vert )\) and \(T:E\rightarrow E\) an order-Lipschitz mapping with \(k=l\), where \(k:P\rightarrow P\) is a linear bounded mapping. If \(\Vert k\Vert <1\), then T has a unique fixed point \(x^{*}\in E\). And for each \(x_{0}\in E\), let \(\{x_{n}\}\) be the Picard iterative sequence, then we must have \(x_{n}\overset{\Vert \cdot \Vert }{\rightarrow} x^{*}\).

To our knowledge, in all the works concerned with fixed points of order-Lipschitz mappings, the involving cone is necessarily assumed to be normal. In this paper, we shall remove the normality of the cone in Theorem 1 and extend Theorems 1 and 2 to Banach algebras. From Remark 1 we know that the method in [2] is not applicable for the case with non-normal cones, and so we need to find a new way to solve it. By introducing the concept of Picard-complete and using the sandwich theorem in the sense of w-convergence established in [4], we first prove some fixed point theorems of order-Lipschitz mappings in Banach algebras with non-normal cones. Motivated by [3], we reconsider the case with normal cones, and we obtain a fixed point theorem of order-Lipschitz mappings in Banach algebras under the assumption that \(r(k)<1\) by showing that there exists some \(n_{0}\) such that \(T^{n_{0}}\) is a Banach contraction in \((E,\Vert \cdot \Vert _{0})\), where \(\Vert \cdot \Vert _{0}\) is a newly introduced norm which is equivalent to \(\Vert \cdot \Vert \); see Lemma 5. In addition, some suitable examples are presented to show the usability of our theorems.

2 Preliminaries and lemmas

A Banach space \((E,\Vert \cdot \Vert )\) is called a Banach algebra [5] if there exists a multiplication in E such that, for each \(x, y, z \in E\) and \(a\in \mathbb{R}\), the following conditions are satisfied: (I) \((xy)z = x(yz)\); (II) \(x(y + z) = xy + xz\) and \((x + y)z = xz + yz\); (III) \(a(xy) = (ax)y = x(ay)\); (IV) \(\Vert xy\Vert \leq \Vert x\Vert \Vert y\Vert \). If there exists some \(e\in E\) such that \(ex =xe=x\) for each \(x\in E\) then e is called a unit (i.e., a multiplicative identity) of E. A nonempty closed subset P of a Banach space \((E,\Vert \cdot \Vert )\) is a cone [5, 6] if it is such that the following conditions are satisfied: (V) \(ax+by\in P\) for each \(x,y\in P\) and each \(a,b\geq0\); (VI) \(P\cap(-P)=\{\theta\}\), where θ is the zero element of E. A nonempty closed subset P of a Banach algebra \((E,\Vert \cdot \Vert )\) is a cone [1, 5] if it is such that (V) and (VI) are satisfied and (VII) \(\{e\}\subset P\) and \(P^{2}=PP\subset P\).

Each cone P of a Banach space E determines a partial order ⪯ on E by \(x\preceq y\Leftrightarrow y-x\in P \) for each \(x,y\in X\). For each \(u_{0},v_{0}\in E\) with \(u_{0}\preceq v_{0}\), we set \([u_{0},v_{0}]=\{u\in E:u_{0}\preceq u\preceq v_{0}\}\), \([u_{0},+\infty)=\{x\in E:u_{0}\preceq x\}\) and \((-\infty,v_{0}]=\{x\in E:x\preceq v_{0}\}\). A cone P is solid [5, 6] if \(\operatorname {\mathsf {int}}P\neq\O\), where int P denotes the interior of P. For each \(x,y\in E\) with \(y-x\in \operatorname {\mathsf {int}}P\), we write \(x\ll y\).

Definition 1

Let P be a solid cone of a Banach space E, \(\{x_{n}\}\subset E\) and \(D\subset E\).

  1. (i)

    the sequence \(\{x_{n}\}\) is w-convergent [4, 7] if for each \(\epsilon\in \operatorname {\mathsf {int}}P\), there exist some positive integer \(n_{0}\) and \(x\in E\) such that \(x-\epsilon\ll x_{n}\ll x+\epsilon\) for each \(n\geq n_{0}\) (denote \(x_{n}\overset{w}{\rightarrow} x\) and x is called a w-limit of \(\{ x_{n}\}\));

  2. (ii)

    the sequence \(\{x_{n}\}\) is w-Cauchy if for each \(\epsilon\in \operatorname {\mathsf {int}}P\), there exists some positive integer \(n_{0}\) such that \(-\epsilon\ll x_{n}-x_{m}\ll\epsilon\) for each \(m,n\geq n_{0}\), i.e., \(x_{n}-x_{m}\overset{w}{\rightarrow} \theta\) (\(m,n\rightarrow\infty\));

  3. (iii)

    the subset D is w-closed if for each \(\{x_{n}\}\subset D\), \(x_{n}\overset{w}{\rightarrow}x\) implies \(x\in D\).

Lemma 1

Let P be a solid cone of a Banach space E, \(\{x_{n}\}\) a w-convergent sequence of E and \(u_{0},v_{0}\in E\) with \(u_{0}\preceq v_{0}\). Then \(\{x_{n}\}\) has a unique w-limit, and the partial order intervals \([u_{0},v_{0}]\), \([u_{0},+\infty)\) and \((-\infty,v_{0}]\) are w-closed.

Proof

Suppose that there exists \(x,y\in E\) such that \(x_{n}\overset{w}{\rightarrow} x\) and \(x_{n}\overset{w}{\rightarrow} y\). From Definition 1 we find that, for each \(\epsilon\in \operatorname {\mathsf {int}}P\), there exists a positive integer \(n_{0}\) such that \(x-\epsilon\ll x_{n}\ll x+\epsilon\) and \(y-\epsilon\ll x_{n}\ll y+\epsilon \) for each \(n\geq n_{0}\). This forces that \(x-y-2\epsilon\ll x_{n}-x_{n}=\theta\ll x-y+2\epsilon\) for each \(n\geq n_{0}\). So we have \(-2\epsilon\ll x-y\ll2\epsilon\), which together with the arbitrary property of ϵ implies that \(x=y\). This shows that \(\{x_{n}\}\) has a unique w-limit.

Let \(\{x_{n}\}\) be a sequence of \([u_{0},v_{0}]\) such that \(x_{n}\overset {w}{\rightarrow} x\). For each \(\epsilon\in \operatorname {\mathsf {int}}P\), there exists a positive integer \(n_{0}\) such that \(x-\epsilon\ll x_{n}\ll x+\epsilon\) for each \(n\geq n_{0}\). Thus we get

$$ \theta\preceq x_{n}-u_{0}\ll x-u_{0}+\epsilon,\quad\quad \theta\preceq v_{0}-x_{n} \ll v_{0}-x+\epsilon,\quad \forall n\geq n_{0}, $$
(3)

which together with the arbitrary property of ϵ implies that \(u_{0}\preceq x\) and \(x\preceq v_{0}\), i.e., \(x\in[u_{0},v_{0}]\). This shows that \([u_{0},v_{0}]\) is w-closed. Similarly, we can show \([u_{0},+\infty)\) and \((-\infty,v_{0}]\) are w-closed. The proof is complete. □

A cone P of a Banach space E is normal if there is some positive number N such that \(x, y \in E\) and \(\theta\preceq x\preceq y\) implies that \(\Vert x\Vert \leq N\Vert y\Vert \), and the minimal N is called a normal constant of P. Note that an equivalent condition of a normal cone is that \(\inf\{\Vert x+y\Vert :x,y\in P \text{ and } \Vert x\Vert =\Vert y\Vert =1\}>0\), then it is not hard to conclude that a cone P is non-normal if and only if there exist \(\{u_{n}\},\{v_{n}\}\subset P\) such that \(u_{n}+v_{n}\overset{\Vert \cdot \Vert }{\rightarrow} \theta\nRightarrow u_{n} \overset{\Vert \cdot \Vert }{\rightarrow }\theta \). This implies that the sandwich theorem does not hold in the sense of norm-convergence. Recently, without using the normality of P Li and Jiang [4] proved the following sandwich theorem in the sense of w-convergence, which is very important for our further discussions.

Lemma 2

(see [4])

Let P be a solid cone of a Banach space \((E,\Vert \cdot \Vert )\) and \(\{x_{n}\},\{y_{n}\},\{z_{n}\}\subset E\) with \(x_{n}\preceq y_{n}\preceq z_{n}\) for each n. If \(x_{n}\overset{w}{\rightarrow}z\) and \(z_{n}\overset{w}{\rightarrow}z\), then \(y_{n}\overset{w}{\rightarrow }z\).

Lemma 3

(see [7])

Let P be a solid cone of a Banach space \((E,\Vert \cdot \Vert )\) and \(x_{n}\subset E\). Then \(x_{n}\overset{\Vert \cdot \Vert }{\rightarrow} x\) implies \(x_{n}\overset {w}{\rightarrow} x\). Moreover, if P is normal then \(x_{n}\overset{w}{\rightarrow} x \Leftrightarrow x_{n}\overset{\Vert \cdot \Vert }{\rightarrow} x\).

Lemma 4

(see [3, 6])

Let P be a solid cone of a Banach space \((E,\Vert \cdot \Vert )\). Then there is \(\tau>0\) such that, for each \(x\in E\), there exist \(y,z\in P\) with \(\Vert y\Vert \leq\tau \Vert x\Vert \) and \(\Vert z\Vert \leq\tau \Vert x\Vert \) such that \(x=y-z\).

Lemma 5

Let P be a normal solid cone of a Banach space \((E,\Vert \cdot \Vert )\) and define \(\Vert \cdot \Vert _{0}\) in E by

$$ \Vert x\Vert _{0}=\inf_{u\in P}\bigl\{ \Vert u \Vert :-u\preceq x\preceq u\bigr\} , \quad \forall x\in E. $$
(4)

Then \(\Vert \cdot \Vert _{0}\) is equivalent to \(\Vert \cdot \Vert \) and \((E,\Vert \cdot \Vert _{0})\) is a Banach space.

Proof

It follows from Lemma 4 that there is a \(\tau>0\) such that, for each \(x\in E\), there exist \(y,z\in P\) with \(\Vert y\Vert \leq\tau \Vert x\Vert \) and \(\Vert z\Vert \leq\tau \Vert x\Vert \) such that \(x=y-z\), and so we have

$$ -(y+z)\preceq x\preceq y+z. $$
(5)

Then it is clear that, for each \(x\in E\), there exists \(u\in P\) such that

$$ -u\preceq x\preceq u, $$
(6)

and hence the definition of \(\Vert \cdot \Vert _{0}\) is meaningful. It is easy to check that \(\Vert \cdot \Vert _{0}\) is a norm in E. For each \(x\in E\), by (6) and the normality of P, we get \(\Vert x\Vert \leq \Vert x+u\Vert +\Vert u\Vert \leq(2N+1)\Vert u\Vert \), and hence \(\Vert x\Vert \leq (2N+1)\inf_{u\in P}\Vert u\Vert =(2N+1)\Vert x\Vert _{0}\) by (4). On the other hand, by (5) we get \(\Vert x\Vert _{0}\leq \Vert y+z\Vert \leq2\tau \Vert x\Vert \) for each \(x\in E\). Thus we have \(\frac{\Vert x\Vert }{2N+1}\leq \Vert x\Vert _{0}\leq2\tau \Vert x\Vert \) for each \(x\in E\). This shows that \(\Vert \cdot \Vert \) is equivalent to \(\Vert \cdot \Vert _{0}\) and hence \((E,\Vert \cdot \Vert _{0})\) is a Banach space. The proof is complete. □

Let P be a cone of a Banach space E and \(T:E\rightarrow E\). For each \(x_{0}\in E\), set \(O(T,x_{0})=\{x_{n}\}\), where \(\{x_{n}\}\) is the Picard iterative sequence (i.e., \(x_{n}=T^{n}x_{0}\) for each n).

Definition 2

Let P be a solid cone of a Banach space \((E,\Vert \cdot \Vert )\), \(x_{0}\in E\) and \(T:E\rightarrow E\). If the Picard iterative sequence \(O(T,x_{0})\) is w-convergent provided that it is w-Cauchy, then T is said to be Picard-complete at \(x_{0}\). Moreover, if T is Picard-complete at each \(x\in E\), then T is said to be Picard-complete on E.

Remark 2

  1. (i)

    If \(O(T,x_{0})\) is w-convergent then T is certainly Picard-complete at \(x_{0}\).

  2. (ii)

    If P is normal then each mapping \(T:E\rightarrow E\) is Picard-complete on E by Lemma 3.

3 Fixed point theorems

We first state and prove a fixed point result of order-Lipschitz mappings in Banach algebras with non-normal cones as follows.

Theorem 3

Let P be a solid cone of a Banach algebra \((E,\Vert \cdot \Vert )\) and \(u_{0},v_{0}\in E\) with \(u_{0}\preceq v_{0}\). Assume that \(T:[u_{0},v_{0}]\rightarrow E\) is a nondecreasing order-Lipschitz mapping with \(k,l\in P\) such that (2) is satisfied. If \(r(k)<1\) and T is Picard-complete at \(u_{0}\) and \(v_{0}\), then T has a unique fixed point \(x^{*}\in[u_{0},v_{0}]\). And for each \(x_{0}\in[u_{0},v_{0}]\), we have \(x_{n}\overset{w}{\rightarrow} x^{*}\), where \(\{x_{n}\}=O(T,x_{0})\).

Proof

Let \(u_{n}=T^{n}u_{0}\) and \(v_{n}=T^{n}v_{0}\) for each n. From (2) and the nondecreasing property of T on \([u_{0},v_{0}]\) it follows that

$$ u_{0}\preceq u_{1}\preceq u_{2}\preceq\cdots \preceq u_{n}\preceq\cdots\preceq v_{n}\preceq\cdots\preceq v_{2}\preceq v_{1}\preceq v_{0}. $$
(7)

By (1) and \(P^{2}\subset P\), we get

$$ \theta\preceq v_{n}-u_{n}\preceq k(v_{n-1}-u_{n-1}) \preceq k^{2}(v_{n-2}-u_{n-2})\preceq\cdots\preceq k^{n}(v_{0}-u_{0}),\quad \forall n. $$
(8)

Thus for each \(m>n\), by (4) and (5) we have

$$ \begin{aligned} &\theta\preceq u_{m}-u_{n}\preceq v_{n}-u_{n}\preceq k^{n}(v_{0}-u_{0}), \\ &\theta\preceq v_{n}-v_{m}\preceq v_{n}-u_{n} \preceq k^{n}(v_{0}-u_{0}). \end{aligned} $$
(9)

It follows from Gelfand’s formula and \(r(k)<1\) that there exist \(n_{0}\) and \(\alpha\in[0,1)\) such that

$$ \bigl\Vert k^{n}\bigr\Vert \leq\alpha^{n},\quad \forall n\geq n_{0}, $$
(10)

which implies that \(k^{n}\overset{\Vert \cdot \Vert }{\rightarrow} \theta\). Note that \(\Vert k^{n}(v_{0}-u_{0})\Vert \leq \Vert k^{n}\Vert \Vert v_{0}-u_{0}\Vert \) by (IV), then we obtain \(k^{n}(v_{0}-u_{0})\overset{\Vert \cdot \Vert }{\rightarrow}\theta\). Moreover, by Lemma 3, we get

$$ k^{n}(v_{0}-u_{0})\overset{w}{\rightarrow} \theta. $$
(11)

Thus it follows from (9), (11), and Lemma 2 that \(\{u_{n}\}\) and \(\{v_{n}\}\) are w-Cauchy sequences. Since T is Picard-complete at \(u_{0}\) and \(v_{0}\), there exist \(u^{*},v^{*}\in E\) such that

$$ u_{n}\overset{w}{\rightarrow} u^{*}, \quad\quad v_{n}\overset{w}{ \rightarrow} v^{*}. $$
(12)

Letting \(n\rightarrow\infty\) in (8), by (11) and Lemma 2 we get \(u^{*}=v^{*}\). Set \(x^{*}=u^{*}=v^{*}\), then \(x^{*}\in[u_{0},v_{0}]\) by (7) and Lemma 1. For each \(m>n\), by (7) we get

$$ u_{n}\preceq u_{m}\preceq\cdots\preceq v_{m} \preceq v_{n}. $$
(13)

Letting \(m\rightarrow\infty\) in (13), by (12) and Lemma 1 we have

$$ u_{n}\preceq x^{*}\preceq v_{n},\quad \forall n, $$
(14)

with together with the nondecreasing property of T on \([u_{0},v_{0}]\) implies that

$$ u_{n}=Tu_{n-1}\preceq Tx^{*}\preceq Tv_{n-1}\preceq v_{n}, \quad \forall n. $$
(15)

Letting \(n\rightarrow\infty\) in (15), we get \(x^{*}=Tx^{*}\) by (12), Lemma 1 and Lemma 2. Hence \(x^{*}\) is a fixed point of T.

For each \(x_{0}\in[u_{0},v_{0}]\), let \(x_{n}=T^{n}x_{0}\). It is clear that \(u_{1}=Tu_{0}\preceq Tx_{0}=x_{1}\preceq Tv_{0}=v_{1}\) since T is nondecreasing on \([u_{0},v_{0}]\). Then by induction, we obtain

$$u_{n}\preceq x_{n}\preceq v_{n},\quad \forall n, $$

which together with (12) and Lemma 2 implies that \(x_{n}\overset{w}{\rightarrow} x^{*}\). Let \(x\in[u_{0},v_{0}]\) be another fixed point of T and \(y_{n}=T^{n}x\). Similarly, we can show that \(y_{n}\overset{w}{\rightarrow} x^{*}\). Note that \(y_{n}=T^{n}x\equiv x\) implies that \(y_{n}\overset{w}{\rightarrow} x\), then \(x=x^{*}\) by Lemma 1. Hence T has a unique fixed point \(x^{*}\in [u_{0},v_{0}]\). The proof is complete. □

Example 1

Let \(E=C_{\mathbb{R}}^{1}[0,1]\) be endowed with the norm \(\Vert u\Vert =\Vert u\Vert _{\infty}+\Vert u'\Vert _{\infty}\) and \(P=\{u\in E:u(t)\geq0, \forall t\in[0,1]\}\), where \(\Vert u\Vert _{\infty}=\max_{t\in[0,1]}u(t)\) for each \(u\in C_{\mathbb{R}}[0,1]\). Define a multiplication in E by \((xy)(t)=x(t)y(t)\) for each \(x,y\in E\) and \(t\in[0,1]\). Clearly, \((E,\Vert \cdot \Vert )\) is a Banach algebra with a unit \(e(t)\equiv1\) and P is a non-normal solid cone.

Let \(Tx=x^{2}\), \(u_{0}=\theta\) and \(v_{0}(t)\equiv a\), where \(a\in[0,\frac {1}{2})\). Clearly, \(Tu_{0}\preceq u_{0}\) and \(Tv_{0}\preceq v_{0}\). For each \(x,y\in[u_{0},v_{0}]\) with \(y\preceq x\), we have \(0\leq(Tx)(t)-(Ty)(t)=x^{2}(t)-y^{2}(t)=(x(t)+y(t))(x(t)-y(t))\leq k(x(t)-y(t))\) for each \(t\in[0,1]\), where \(k=2ae\). This shows that \(T:[u_{0},v_{0}]\rightarrow E\) is a nondecreasing order-Lipschitz mapping with \(r(k)=2a<1\). Let \(\{u_{n}\}\) and \(\{v_{n}\}\) be the Picard iterative sequences of \(u_{0}\) and \(v_{0}\), then \(u_{n}=\theta\) and \(v_{n}(t)\equiv a^{2^{n}}\) for each n, and so \(\Vert u_{n}\Vert \equiv0\) and \(\Vert v_{n}\Vert =a^{2^{n}}\) for each n, which forces that \(u_{n}\overset{\Vert \cdot \Vert }{\rightarrow}\theta\) and \(v_{n}\overset{\Vert \cdot \Vert }{\rightarrow}\theta\). This together with (i) of Remark 2 and Lemma 3 implies that T is Picard-complete at \(u_{0}\) and \(v_{0}\). Hence by Theorem 3, T has a unique fixed point in \([u_{0},v_{0}]\).

However, Theorems 1 and 2 are not applicable here since P is non-normal.

In analogy to the proof of Theorem 3, we can prove the following fixed point theorem of order-Lipschitz mappings in Banach space.

Theorem 4

Let P be a solid cone of a Banach space \((E,\Vert \cdot \Vert )\) and \(u_{0},v_{0}\in E\) with \(u_{0}\preceq v_{0}\). Assume that \(T:[u_{0},v_{0}]\rightarrow E\) is a nondecreasing order-Lipschitz mapping with \(k\in[0,1)\) such that (2) is satisfied. If T is Picard-complete at \(u_{0}\) and \(v_{0}\), then T has a unique fixed point \(x^{*}\in[u_{0},v_{0}]\). And for each \(x_{0}\in[u_{0},v_{0}]\), we have \(x_{n}\overset{w}{\rightarrow} x^{*}\), where \(\{x_{n}\}=O(T,x_{0})\).

Corollary 1

Let P be a solid cone of a Banach space \((E,\Vert \cdot \Vert )\) and \(u_{0},v_{0}\in E\) with \(u_{0}\preceq v_{0}\). Assume that \(T:[u_{0},v_{0}]\rightarrow E\) is an order-Lipschitz mapping with \(l\in[0,+\infty)\) and \(k\in[0,1)\) such that (2) is satisfied. If A is Picard-complete at \(u_{0}\) and \(v_{0}\), where \(Ax=\frac{Tx+lx}{1+l}\) for each \(x\in E\), then T has a unique fixed point \(x^{*}\in[u_{0},v_{0}]\).

Proof

Set \(k_{1}=\frac{l+k}{1+l}\). By (1) and (2) we get

$$\begin{aligned} &u_{0}\preceq Au_{0}, \quad\quad Av_{0} \preceq v_{0}, \\ & \theta\preceq Ax-Ay\preceq k_{1}(x-y),\quad \forall x,y \in[u_{0},v_{0}], \quad\quad y\preceq x, \end{aligned} $$

which indicates that \(A:[u_{0},v_{0}]\rightarrow E\) is a nondecreasing order-Lipschitz mapping. Note that \(k_{1}\in[0,1)\) and A is Picard-complete at \(u_{0}\) and \(v_{0}\), then A has a unique fixed point \(x^{*}\in[u_{0},v_{0}]\) by Theorem 4. Thus we have \(Tx^{*}+lx^{*}=x^{*}+lx^{*}\) and so \(Tx^{*}=x^{*}\). Let \(x\in[u_{0},v_{0}]\) be another fixed point of T, then \(Tx=x\) and hence \(Ax=x\). Moreover, by the uniqueness of fixed point of A in \([u_{0},v_{0}]\), we get \(x=x^{*}\). Hence \(x^{*}\) is the unique fixed point of T in \([u_{0},v_{0}]\). The proof is complete. □

Remark 3

By (ii) of Remark 2, Theorem 1 immediately follows from Corollary 1, which indeed improves Theorem 1 since the normality of P has been removed.

Motivated by [3], we reconsider the case with normal cones, and we obtain the following fixed point result.

Theorem 5

Let P be a normal solid cone of a Banach algebra \((E,\Vert \cdot \Vert )\) and \(T:E\rightarrow E\) an order-Lipschitz mapping with \(l=k\in P\). If \(r(k)<1\), then T has a unique fixed point \(x^{*}\in E\). And for each \(x_{0}\in E\), we have \(x_{n}\overset{\Vert \cdot \Vert }{\rightarrow} x^{*}\), where \(\{x_{n}\} =O(T,x_{0})\).

Proof

Since P is solid, it follows from (6) that, for each \(x,y\in E\), there exists \(u\in P\) such that

$$ -u\preceq x-y\preceq u, $$
(16)

and so

$$ \frac{x+y-u}{2}\preceq x,\quad\quad \frac{x+y-u}{2}\preceq y. $$
(17)

We observe that

$$ -k^{n}u\preceq T^{n}x-T^{n}y\preceq k^{n}u,\quad \forall x,y\in E, \forall n, $$
(18)

where \(u\in P\) satisfies (16). By (1) and (17), for each \(x,y\in E\) we have

$$ -k\biggl(\frac{x-y+u}{2}\biggr)\preceq Tx-T\biggl(\frac{x+y-u}{2}\biggr) \preceq k\biggl(\frac{x-y+u}{2}\biggr) $$
(19)

and

$$-k\biggl(\frac{y-x+u}{2}\biggr)\preceq Ty-T\biggl(\frac{x+y-u}{2}\biggr) \preceq k\biggl(\frac{y-x+u}{2}\biggr), $$

which can be rewritten as

$$ -k\biggl(\frac{y-x+u}{2}\biggr)\preceq T\biggl(\frac{x+y-u}{2}\biggr)-Ty \preceq k\biggl(\frac{y-x+u}{2}\biggr). $$
(20)

Adding (19) and (20), by (II), we get

$$-ku\preceq Tx-Ty\preceq ku,\quad \forall x,y\in E, $$

which implies that (10) holds for \(n=1\). Suppose that (18) holds for n, then for each \(x,y\in E\), we get

$$\frac{T^{n}x+T^{n}y-k^{n}u}{2}\preceq T^{n}x,\quad\quad \frac{T^{n}x+T^{n}y-k^{n}u}{2}\preceq T^{n}y. $$

Moreover, by (1), for each \(x,y\in E\) we get

$$\begin{aligned} -k\biggl(\frac{T^{n}x-T^{n}y+k^{n}u}{2}\biggr) \preceq& T^{n+1}x-T\biggl( \frac{T^{n}x+T^{n}y-k^{n}u}{2}\biggr) \\ \preceq & k\biggl(\frac {T^{n}x-T^{n}y+k^{n}u}{2}\biggr) \end{aligned}$$
(21)

and

$$-k\biggl(\frac{T^{n}y-T^{n}x+k^{n}u}{2}\biggr)\preceq T^{n+1}y-T\biggl( \frac{T^{n}x+T^{n}y-k^{n}u}{2}\biggr)\preceq k\biggl(\frac {T^{n}y-T^{n}x+k^{n}u}{2}\biggr), $$

which can be rewritten as

$$\begin{aligned} -k\biggl(\frac{T^{n}y-T^{n}x+k^{n}u}{2}\biggr) \preceq &T\biggl(\frac{T^{n}x+T^{n}y-k^{n}u}{2} \biggr)-T^{n+1}y \\ \preceq &k\biggl(\frac{T^{n}y-T^{n}x+k^{n}u}{2}\biggr). \end{aligned}$$
(22)

Adding (21) and (22), by (II) we get \(-k^{n+1}u\preceq T^{n+1}x-T^{n+1}y\preceq k^{n+1}u\) for each \(x,y\in E\), and hence (18) holds for \(n+1\). Therefore (18) holds true by induction. For each \(x,y\in E\) and arbitrary \(u\in P\) such that (16) is satisfied, by (18) and (IV) we get \(\Vert T^{n}x-T^{n}y\Vert _{0}\leq \Vert k^{n}u\Vert \leq \Vert k^{n}\Vert \Vert u\Vert \) for each n. Then by (4), (10), and the arbitrariness property of u, we have

$$\begin{aligned} \bigl\Vert T^{n}x-T^{n}y\bigr\Vert _{0}&\leq\bigl\Vert k^{n}\bigr\Vert \inf _{u\in P}\bigl\{ \Vert u\Vert : -u\preceq x-y\preceq u\bigr\} \\ &=\bigl\Vert k^{n}\bigr\Vert \Vert x-y\Vert _{0} \leq\alpha^{n}\Vert x-y\Vert _{0}, \quad \forall n\geq n_{0}, \end{aligned} $$

which together with \(\alpha^{n_{0}}<1\) implies that \(T^{n_{0}}:E\rightarrow E\) is a Banach contraction. Note that \((E,\Vert \cdot \Vert _{0})\) is a Banach space by Lemma 5, then by the Banach contraction principle, \(T^{n_{0}}\) has a unique fixed point \(x^{*}\in E\) (i.e., \(T^{n_{0}}x^{*}=x^{*}\)). It is clear that \(T^{n_{0}}(Tx^{*})=T^{n_{0}+1}x^{*}=T(T^{n_{0}}x)=Tx^{*}\), i.e., \(Tx^{*}\) is a fixed point of \(T^{n_{0}}\), then \(x^{*}=Tx^{*}\) by the uniqueness of fixed point of \(T^{n_{0}}\). Let \(x\in E\) be another fixed point of T. Then x is also a fixed point of \(T^{n_{0}}\), and so \(x=x^{*}\) by the unique existence of fixed point of \(T^{n_{0}}\). Hence \(x^{*}\) is the unique fixed point of T.

For each \(x_{0}\in E\), let \(x_{n}=T^{n}x_{0}\) and \(y_{n}^{i}=T^{nn_{0}}x_{i}\) for each n and each \(0\leq i\leq n_{0}-1\). It is clear that \(y_{n}^{i}\overset{\Vert \cdot \Vert _{0}}{\rightarrow}x^{*}\) for each i, and so for each \(\varepsilon>0\), there exists a positive integer \(m_{0}^{i}\) such that

$$\bigl\Vert y_{n}^{i}-x^{*}\bigr\Vert _{0}< \varepsilon, \quad \forall n\geq m_{0}^{i}. $$

Set \(m_{0}=\max_{1\leq i\leq n_{0}-1} m_{0}^{i}\), then for each i, we get

$$\bigl\Vert y_{n}^{i}-x^{*}\bigr\Vert _{0}< \varepsilon, \quad \forall n\geq m_{0}, $$

which together with \(\{x_{n}\}=\bigcup_{i=0}^{n_{0}-1} \{y_{n}^{i}\}\) implies that

$$\bigl\Vert x_{n}-x^{*}\bigr\Vert _{0}< \varepsilon,\quad \forall n\geq m_{0}n_{0}. $$

This shows that \(x_{n}\overset{\Vert \cdot \Vert _{0}}{\rightarrow }x^{*}\) and hence \(x_{n}\overset{\Vert \cdot \Vert }{\rightarrow}x^{*}\) since \(\Vert \cdot \Vert \) and \(\Vert \cdot \Vert _{0}\) are equivalent by Lemma 5. The proof is complete. □

Remark 4

Theorem 5 partially improves Theorem 2 since the norm condition \(\Vert k\Vert <1\) is replaced by the spectral radius condition \(r(k)<1\).

The following example will show Theorem 5 is more applicable than many other fixed point results.

Example 2

Let \(E=P=\mathbb{R}_{+}^{2}=\{ x=(x_{1},x_{2}):x_{1},x_{2}\geq0\}\) with the norm \(\Vert x\Vert =\vert x_{1}\vert +\vert x_{2}\vert \). Clearly, P is a normal solid cone. Define a multiplication in E by

$$xy=(x_{1}y_{1},x_{1}y_{2}+x_{2}y_{1}),\quad \forall x=(x_{1},x_{2}), y=(y_{1},y_{2}) \in E, $$

then E is a Banach algebra with \(e=(1,0)\). Define a mapping \(T:E\rightarrow E\) by

$$T(x_{1},x_{2})=\bigl(\ln(a+x_{1}), \arctan(b+x_{2})+cx_{1}\bigr),\quad \forall x\in E, $$

where \(a>1\), \(b\geq\sqrt{a-1}\) and \(c>0\), then for each \(x,y\in E\) with \(y\preceq x\), by the Lagrange mean value theorem, we have

$$\begin{aligned} -k(x-y)&\preceq\theta\preceq Tx-Ty \\ &=\bigl(\ln(a+x_{1})-\ln(a+y_{1}),\arctan(b+x_{2})- \arctan(b+y_{2})+c(x_{1}-y_{1})\bigr) \\ &\preceq\biggl(\frac{x_{1}-y_{1}}{a}, \frac{x_{2}-y_{2}}{1+b^{2}}+c(x_{1}-y_{1}) \biggr) \\ &\preceq\biggl(\frac{x_{1}-y_{1}}{a}, \frac{x_{2}-y_{2}}{a}+c(x_{1}-y_{1}) \biggr) \\ &=\biggl(\frac{1}{a},c\biggr) (x_{1}-y_{1},x_{2}-y_{2})=k(x-y), \end{aligned} $$

where \(k=(\frac{1}{a},c)\in P\). This implies that T is an order-Lipschitz mapping with \(k=l=(\frac{1}{a},c)\). Note that \(k^{2}=(\frac{1}{a^{2}},\frac{2c}{a})\) and \(k^{3}=(\frac{1}{a^{3}},\frac{3c}{a^{2}})\), then by induction we obtain \(k^{n}=(\frac{1}{a^{n}},\frac{nc}{a^{n-1}})\) for each n. Moreover, by Gelfand’s formula, we get

$$r(k)=\lim_{n\rightarrow\infty}\bigl\Vert k^{n}\bigr\Vert ^{\frac{1}{n}}= \lim_{n\rightarrow\infty}\biggl(\frac{1}{a^{n}}+ \frac {nc}{a^{n-1}}\biggr)^{\frac{1}{n}} =\frac{1}{a}\lim _{n\rightarrow\infty}\biggl(1+\frac {nc}{a}\biggr)^{\frac{1}{n}}= \frac{1}{a}< 1. $$

Hence by Theorem 5, T has a unique fixed point.

In the case that \(c>1-\frac{1}{a}\), we get \(\Vert k\Vert =\frac {1}{a}+c>1\), and hence Theorem 2 is not applicable even taking k as a linear bounded mapping.

In the case that \(c>2\), we get \(\Vert Tx-Ty\Vert \geq c\vert x_{1}-y_{1}\vert >2\vert x_{1}-y_{1}\vert \geq \vert x_{1}-y_{1}\vert +\vert x_{2}-y_{2}\vert =\Vert x-y\Vert \) for each \(x,y\in E\) with \(\vert x_{1}-y_{1}\vert \geq \vert x_{2}-y_{2}\vert \), and hence the Banach contraction principle is not applicable.

In the case that \(c>1\), we get \(\arctan(b+x_{2})-\arctan(b+y_{2})+c(x_{1}-y_{1})\geq c(x_{2}-y_{2})>x_{2}-y_{2}\) for each \(x,y\in E\) with \(y\preceq x\) and \(x_{1}-y_{1}\geq x_{2}-y_{2}\). This implies that there does not exist \(l\in[0,1)\) such that \(Tx-Ty\preceq l(x-y)\). Consequently, Theorem 1 is not applicable.

Remark 5

The normality of P is essential for the completeness of \((E,\Vert \cdot \Vert _{0})\) (see Lemma 5), which leads to that the Banach contraction principle is applicable in Theorem 5. Naturally, one may wonder whether the normality of P in Theorem 5 could be removed by the method used in Theorem 1 or other methods.