CUBO A Mathematical Journal Vol.16, No¯ 02, (135–148). June 2014 Coupled Coincidence Points for Generalized (ψ, ϕ)-Pair Mappings in Ordered Cone Metric Spaces Sushanta Kumar Mohanta Department of Mathematics, West Bengal State University, Barasat, 24 Parganas (North), Kolkata 700126, West Bengal, India. smwbes@yahoo.in ABSTRACT The existence of coupled coincidence points for mappings satisfying generalized con- tractive conditions related to ψ and ϕ-maps in an ordered cone metric space is proved. Our results extend and generalize some well-known comparable results in the existing literature. RESUMEN Se prueba la existencia de puntos coincidentes acoplados para aplicaciones que satis- facen las condiciones de contractividad generalizada relacionada a las aplicaciones ψ y ϕ en un espacio métrico cono ordenados. Nuestro resultado extiende y generaliza algunos resultados comparables conocidos en la literatura. Keywords and Phrases: Cone metric space, ψ-map, ϕ-map, coupled coincidence point. 2010 AMS Mathematics Subject Classification: 54H25, 47H10. 136 Sushanta Kumar Mohanta CUBO 16, 2 (2014) 1 Introduction Fixed point theory plays a major role in mathematics because of its applications in many important areas such as optimization, mathematical models, nonlinear and adaptive control systems. Over the past two decades a considerable amount of research work for the development of metric fixed point theory have executed by numerous mathematicians. The fixed points for certain mappings in ordered metric spaces has been studied by Ran and Reurings [16]. In [11] Nieto and López extended the result of Ran and Reurings [16] for nondecreasing mappings and applied their results to obtain a unique solution for a first order differential equation. The existence of coupled fixed points in partially ordered metric spaces was first investigated by Bhaskar and Laksmikantham [3]. So far, many mathematicians have studied coupled fixed point results for mappings under various contractive conditions in different metric spaces. In 2007, Huang and Zhang [5] introduced the concept of cone metric spaces and proved some important fixed point theorems. Afterwards, Sabetghadam and Masiha [17] obtained some fixed point results for generalized ϕ-pair mappings in cone metric spaces. The purpose of this paper is to obtain sufficient conditions for existence of coupled coincidence points for mappings satisfying generalized contractive conditions related to ψ and ϕ -maps in ordered cone metric spaces. 2 Preliminaries In this section we need to recall some basic notations, definitions, and necessary results from existing literature. Definition 1. [3] Let (X, ⊑) be a partially ordered set and F : X × X → X be a self-map. One can say that F has the mixed monotone property if F(x, y) is monotone nondecreasing in x and is monotone nonincreasing in y, that is, for all x1, x2 ∈ X, x1 ⊑ x2 implies F(x1, y) ⊑ F(x2, y) for any y ∈ X, and for all y1, y2 ∈ X, y1 ⊒ y2 implies F(x, y1) ⊑ F(x, y2) for any x ∈ X. Definition 2. [4] Let (X, ⊑) be a partially ordered set and F : X × X → X and g : X → X be two self-mappings. F has the mixed g-monotone property if F is monotone g-nondecreasing in its first argument and is monotone g-nonincreasing in its second argument, that is, for all x1, x2 ∈ X, gx1 ⊑ gx2 implies F(x1, y) ⊑ F(x2, y) for any y ∈ X, and for all y1, y2 ∈ X, gy1 ⊑ gy2 implies F(x, y1) ⊒ F(x, y2) for any x ∈ X. Definition 3. [3] An element (x, y) ∈ X × X is called a coupled fixed point of the mapping F : X × X → X if x = F(x, y) and y = F(y, x). Definition 4. [8] An element (x, y) ∈ X × X is called (i) a coupled coincidence point of the mappings F : X × X → X and g : X → X if gx = F(x, y) and gy = F(y, x), CUBO 16, 2 (2014) Coupled Coincidence Points for Generalized (ψ, ϕ)-Pair . . . 137 (ii) a common coupled fixed point of the mappings F : X×X → X and g : X → X if x = gx = F(x, y) and y = gy = F(y, x). Definition 5. [4] Let X be a nonempty set. One can say that the mappings F : X × X → X and g : X → X are commutative if g(F(x, y)) = F(gx, gy), for all x, y ∈ X. Let E be a real Banach space and θ denote the zero element in E. A cone P is a subset of E such that (i) P is closed, nonempty and P ̸= {θ}; (ii) a, b ∈ R, a, b ≥ 0, x, y ∈ P ⇒ ax + by ∈ P; (iii) P ∩ (−P) = {θ}. For any cone P ⊆ E, we can define a partial ordering ≼ on E with respect to P by x ≼ y if and only if y − x ∈ P. We shall write x ≺ y (equivalently, y ≻ x) if x ≼ y and x ̸= y, while x ≪ y will stand for y − x ∈ int(P), where int(P) denotes the interior of P. The cone P is called normal if there is a number k > 0 such that for all x, y ∈ E, θ ≼ x ≼ y implies ∥x∥ ≤ k ∥y∥. The least positive number satisfying the above inequality is called the normal constant of P. Rezapour and Hamlbarani [13] proved that there are no normal cones with normal constant k < 1. Definition 6. [2] Let P be a cone. A nondecreasing mapping ϕ : P → P is called a ϕ-map if (ϕ1) ϕ(θ) = θ and θ ≺ ϕ(w) ≺ w for w ∈ P \ {θ}, (ϕ2) w − ϕ(w) ∈ int(P) for every w ∈ int(P), (ϕ3) lim n→∞ ϕn(w) = θ for every w ∈ P \ {θ}. Definition 7. [17] Let P be a cone and let (wn) be a sequence in P. One says that wn → θ if for every ϵ ∈ P with θ ≪ ϵ there exists n0 ∈ N such that wn ≪ ϵ for all n ≥ n0. A nondecreasing mapping ψ : P → P is called a ψ-map if (ψ1)ψ(w) = θ if and only if w = θ, (ψ2) for every wn ∈ P, wn → θ if and only if ψ(wn) → θ, (ψ3) for every w1, w2 ∈ P, ψ(w1 + w2) ≼ ψ(w1) + ψ(w2). Definition 8. [5] Let X be a nonempty set. Suppose the mapping d : X × X → E satisfies (i) θ ≼ d(x, y) for all x, y ∈ X and d(x, y) = θ if and only if x = y ; (ii) d(x, y) = d(y, x) for all x, y ∈ X; 138 Sushanta Kumar Mohanta CUBO 16, 2 (2014) (iii) d(x, y) ≼ d(x, z) + d(z, y) for all x, y, z ∈ X. Then d is called a cone metric on X, and (X, d) is called a cone metric space. Definition 9. [5] Let (X, d) be a cone metric space. Let (xn) be a sequence in X and x ∈ X. If for every c ∈ E with θ ≪ c there is a natural number n0 such that for all n > n0, d(xn, x) ≪ c, then (xn) is said to be convergent and (xn) converges to x, and x is the limit of (xn). We denote this by lim n→∞ xn = x or xn → x (n → ∞). Definition 10. [5] Let (X, d) be a cone metric space, (xn) be a sequence in X. If for any c ∈ E with θ ≪ c, there is a natural number n0 such that for all n, m > n0, d(xn, xm) ≪ c, then (xn) is called a Cauchy sequence in X. Definition 11. [5] Let (X, d) be a cone metric space, if every Cauchy sequence is convergent in X, then X is called a complete cone metric space. Lemma 1. [19] Every cone metric space (X, d) is a topological space. For c ≫ θ, c ∈ E, x ∈ X let B(x, c) = {y ∈ X : d(y, x) ≪ c} and β = {B(x, c) : x ∈ X, c ≫ θ}. Then τc = {U ⊆ X : ∀x ∈ U, ∃B ∈ β, x ∈ B ⊆ U} is a topology on X. Definition 12. [19] Let (X, d) be a cone metric space. A map T : (X, d) → (X, d) is called sequentially continuous if xn ∈ X, xn → x implies Txn → Tx. Lemma 2. [19] Let (X, d) be a cone metric space, and T : (X, d) → (X, d) be any map. Then, T is continuous if and only if T is sequentially continuous. Lemma 3. [14] Let E be a real Banach space with a cone P. Then (i) If a ≪ b and b ≪ c, then a ≪ c. (ii) If a ≼ b and b ≪ c, then a ≪ c. Lemma 4. [5] Let E be a real Banach space with cone P. Then one has the following. (i) If θ ≪ c, then there exists δ > 0 such that ∥b∥ < δ implies b ≪ c. (ii) If an, bn are sequences in E such that an → a, bn → b and an ≼ bn for all n ≥ 1, then a ≼ b. Proposition 1. [6] If E is a real Banach space with cone P and if a ≼ λa where a ∈ P and 0 ≤ λ < 1 then a = θ. 3 Main Results In this section we always suppose that E is a real Banach space, P is a cone in E with int(P) ̸= ∅ and ≼ is the partial ordering on E with respect to P. Also, we mean by ϕ the ϕ-map and by ψ the ψ-map, unless otherwise stated. Now, we state and prove our main results. CUBO 16, 2 (2014) Coupled Coincidence Points for Generalized (ψ, ϕ)-Pair . . . 139 Theorem 1. Let (X, ⊑) be a partially ordered set and (X, d) be a complete cone metric space. Suppose F : X × X → X and g : X → X be two continuous and commuting functions with F(X × X) ⊆ g(X). Let F satisfy mixed g-monotone property and ψ(d(F(x, y), F(u, v)) + d(F(y, x), F(v, u))) ≼ ϕ(ψ(d(gx, gu) + d(gy, gv))) (1) for all x, y, u, v ∈ X with (gx ⊑ gu) and (gy ⊒ gv) or (gx ⊒ gu) and (gy ⊑ gv). If there exist x0, y0 ∈ X satisfying gx0 ⊑ F(x0, y0) and F(y0, x0) ⊑ gy0, then F and g have a coupled coincidence point. Proof. Let x0, y0 be such that gx0 ⊑ F(x0, y0) and F(y0, x0) ⊑ gy0. Since F(X × X) ⊆ g(X), we can choose x1, y1 ∈ X such that gx1 = F(x0, y0) and gy1 = F(y0, x0). Continuing this process one can construct sequences (xn) and (yn) in X such that gxn+1 = F(xn, yn) and gyn+1 = F(yn, xn) for all n ≥ 0. We shall show that gxn ⊑ gxn+1 and gyn ⊒ gyn+1 (2) for all n ≥ 0. We shall use the mathematical induction. For n = 0, (2) follows by the choice of x0 and y0. Suppose now (2) holds for n = k, k ≥ 0. Then gxk ⊑ gxk+1 and gyk ⊒ gyk+1. Mixed g-monotonicity of F now implies that gxk+1 = F(xk, yk) ⊑ F(xk+1, yk) ⊑ F(xk+1, yk+1) = gxk+2. Similarly, we have gyk+1 ⊒ gyk+2. Thus (2) follows for k + 1. Hence, by the mathematical induc- tion we conclude that (2) holds for n ≥ 0. Now for all n ∈ N, ψ(d(gxn, gxn+1) + d(gyn, gyn+1)) = ψ ⎛ ⎜ ⎜ ⎝ d(F(xn−1, yn−1), F(xn, yn)) +d(F(yn−1, xn−1), F(yn, xn)) ⎞ ⎟ ⎟ ⎠ ≼ ϕ(ψ(d(gxn−1, gxn) + d(gyn−1, gyn))) ≼ ϕ2(ψ(d(gxn−2, gxn−1) + d(gyn−2, gyn−1))) · · · ≼ ϕn(ψ(d(gx0, gx1) + d(gy0, gy1))). Let ϵ ∈ int(P), then by (ϕ2), ϵ0 = ϵ − ϕ(ϵ) ∈ int(P). By (ϕ3), lim n→∞ ϕn(ψ(d(gx0, gx1) + d(gy0, gy1))) = θ. 140 Sushanta Kumar Mohanta CUBO 16, 2 (2014) So, there exists n0 ∈ N such that for all m ≥ n0, ψ(d(gxm, gxm+1) + d(gym, gym+1)) ≪ ϵ − ϕ(ϵ). We show that ψ(d(gxm, gxn+1) + d(gym, gyn+1)) ≪ ϵ, (3) for a fixed m ≥ n0 and n ≥ m. Clearly, this holds for n = m. We now suppose that (3) holds for some n ≥ m. Then by using (ψ3) and condition (1), we obtain ψ(d(gxm, gxn+2) + d(gym, gyn+2)) ≼ ψ ⎛ ⎜ ⎜ ⎝ d(gxm, gxm+1) + d(gxm+1, gxn+2) +d(gym, gym+1) + d(gym+1, gyn+2) ⎞ ⎟ ⎟ ⎠ ≼ ψ(d(gxm, gxm+1) + d(gym, gym+1)) +ψ(d(gxm+1, gxn+2) + d(gym+1, gyn+2)) ≼ ψ(d(gxm, gxm+1) + d(gym, gym+1)) +ϕ(ψ(d(gxm, gxn+1) + d(gym, gyn+1))) ≪ ϵ − ϕ(ϵ) + ϕ(ϵ) = ϵ. Therefore, by induction (3) holds. Since ψ is nondecreasing, it follows from (3) that ψ(d(gxm, gxn+1)) ≼ ψ(d(gxm, gxn+1) + d(gym, gyn+1)) ≪ ϵ for a fixed m ≥ n0 and n ≥ m. Similarly, ψ(d(gym, gyn+1)) ≪ ϵ for a fixed m ≥ n0 and n ≥ m. Therefore, by using (ψ2) we deduce that (gxn) and (gyn) are Cauchy sequences in X. Since X is complete, there exist x∗, y∗ ∈ X such that gxn → x ∗ and gyn → y ∗ as n → ∞. By continuity of g we get lim n→∞ ggxn = gx ∗ and lim n→∞ ggyn = gy ∗. Commutativity of F and g now implies that ggxn = g(F(xn−1, yn−1)) = F(gxn−1, gyn−1) for all n ∈ N and ggyn = g(F(yn−1, xn−1)) = F(gyn−1, gxn−1) for all n ∈ N. Since F is continuous, gx∗ = lim n→∞ ggxn = lim n→∞ F(gxn−1, gyn−1) = F( lim n→∞ gxn−1, lim n→∞ gyn−1) = F(x∗, y∗) CUBO 16, 2 (2014) Coupled Coincidence Points for Generalized (ψ, ϕ)-Pair . . . 141 and gy∗ = lim n→∞ ggyn = lim n→∞ F(gyn−1, gxn−1) = F( lim n→∞ gyn−1, lim n→∞ gxn−1) = F(y∗, x∗). Thus, F and g have a coupled coincidence point. If we let ψ be the identity map in Theorem 1, then we have the following Corollary. Corolary 1. Let (X, ⊑) be a partially ordered set and (X, d) be a complete cone metric space. Suppose F : X × X → X and g : X → X be two continuous and commuting functions with F(X × X) ⊆ g(X). Let F satisfy mixed g-monotone property and d(F(x, y), F(u, v)) + d(F(y, x), F(v, u)) ≼ ϕ(d(gx, gu) + d(gy, gv)) for all x, y, u, v ∈ X with (gx ⊑ gu) and (gy ⊒ gv) or (gx ⊒ gu) and (gy ⊑ gv). If there exist x0, y0 ∈ X satisfying gx0 ⊑ F(x0, y0) and F(y0, x0) ⊑ gy0, then F and g have a coupled coincidence point. Corolary 2. Let (X, ⊑) be a partially ordered set and (X, d) be a complete cone metric space. Suppose F : X × X → X and g : X → X be two continuous and commuting functions with F(X × X) ⊆ g(X). Let F satisfy mixed g-monotone property and d(F(x, y), F(u, v)) + d(F(y, x), F(v, u)) ≼ k(d(gx, gu) + d(gy, gv)) for some k ∈ [0, 1) and all x, y, u, v ∈ X with (gx ⊑ gu) and (gy ⊒ gv) or (gx ⊒ gu) and (gy ⊑ gv). If there exist x0, y0 ∈ X satisfying gx0 ⊑ F(x0, y0) and F(y0, x0) ⊑ gy0, then F and g have a coupled coincidence point. Proof. The proof can be obtained from Theorem 1 by taking ψ = I, the identity map and ϕ(x) = kx, where k ∈ [0, 1) is a constant. The following Corollary is a generalization of the result [[3], Theorem 2.1]. Corolary 3. Let (X, ⊑) be a partially ordered set and (X, d) be a complete cone metric space. Suppose F : X × X → X and g : X → X be two continuous and commuting functions with F(X × X) ⊆ g(X). Let F satisfy mixed g-monotone property and d(F(x, y), F(u, v)) ≼ ad(gx, gu) + bd(gy, gv) (4) for some a, b ∈ [0, 1) with a + b < 1 and all x, y, u, v ∈ X with (gx ⊑ gu) and (gy ⊒ gv) or (gx ⊒ gu) and (gy ⊑ gv). If there exist x0, y0 ∈ X satisfying gx0 ⊑ F(x0, y0) and F(y0, x0) ⊑ gy0, then F and g have a coupled coincidence point. 142 Sushanta Kumar Mohanta CUBO 16, 2 (2014) Proof. Let x, y, u, v ∈ X with (gx ⊑ gu) and (gy ⊒ gv) or (gx ⊒ gu) and (gy ⊑ gv). Using (4), we have d(F(x, y), F(u, v)) ≼ ad(gx, gu) + bd(gy, gv) and d(F(y, x), F(v, u)) ≼ ad(gy, gv) + bd(gx, gu). Therefore, d(F(x, y), F(u, v)) + d(F(y, x), F(v, u)) ≼ (a + b)(d(gx, gu) + d(gy, gv)). The result follows from Corollary 2. Theorem 2. Let (X, ⊑) be a partially ordered set and (X, d) be a cone metric space. Suppose F : X × X → X and g : X → X be two functions such that F(X × X) ⊆ g(X) and (g(X), d) is a complete subspace of X. Let F satisfy mixed g-monotone property and ψ(d(F(x, y), F(u, v)) + d(F(y, x), F(v, u))) ≼ ϕ(ψ(d(gx, gu) + d(gy, gv))) for all x, y, u, v ∈ X with (gx ⊑ gu) and (gy ⊒ gv) or (gx ⊒ gu) and (gy ⊑ gv). Suppose X has the following property: (i) if a nondecreasing sequence (xn) → x, then xn ⊑ x for all n. (ii) if a nonincreasing sequence (yn) → y, then y ⊑ yn for all n. If there exist x0, y0 ∈ X satisfying gx0 ⊑ F(x0, y0) and F(y0, x0) ⊑ gy0, then F and g have a coupled coincidence point. Proof. Consider Cauchy sequences (gxn) and (gyn) as in the proof of Theorem 1. Since (g(X), d) is complete, there exist x∗, y∗ ∈ X such that gxn → gx ∗ and gyn → gy ∗. It is to be noted that the sequence (gxn) is nondecreasing and converges to gx ∗. By given condition (i) we have, therefore, gxn ⊑ gx ∗ for all n ≥ 0 and similarly gyn ⊒ gy ∗ for all n ≥ 0. By (ψ2), for θ ≪ c, one can choose a natural number n0 such that ψ(d(gxn, gx ∗)) ≪ c 4 and ψ(d(gyn, gy ∗)) ≪ c 4 for all n ≥ n0. CUBO 16, 2 (2014) Coupled Coincidence Points for Generalized (ψ, ϕ)-Pair . . . 143 Then, ψ ⎛ ⎜ ⎜ ⎝ d(F(x∗, y∗), gx∗) +d(F(y∗, x∗), gy∗) ⎞ ⎟ ⎟ ⎠ ≼ ψ ⎛ ⎜ ⎜ ⎝ d(F(x∗, y∗), gxn+1) + d(gxn+1, gx ∗) +d(F(y∗, x∗), gyn+1) + d(gyn+1, gy ∗) ⎞ ⎟ ⎟ ⎠ ≼ ψ(d(gxn+1, gx ∗) + d(gyn+1, gy ∗)) +ψ ⎛ ⎜ ⎜ ⎝ d(F(x∗, y∗), F(xn, yn)) +d(F(y∗, x∗), F(yn, xn)) ⎞ ⎟ ⎟ ⎠ ≼ ψ(d(gxn+1, gx ∗)) + ψ(d(gyn+1, gy ∗)) +ϕ(ψ(d(gxn, gx ∗) + d(gyn, gy ∗))) ≺ ψ(d(gxn+1, gx ∗)) + ψ(d(gyn+1, gy ∗)) +ψ(d(gxn, gx ∗) + d(gyn, gy ∗)) ≼ ψ(d(gxn+1, gx ∗)) + ψ(d(gyn+1, gy ∗)) +ψ(d(gxn, gx ∗)) + ψ(d(gyn, gy ∗)) ≪ c 4 + c 4 + c 4 + c 4 = c. So, c i − ψ(d(F(x∗, y∗), gx∗) + d(F(y∗, x∗), gy∗)) ∈ P, for all i ≥ 1. Since c i → θ as i → ∞ and P is closed, −ψ(d(F(x∗, y∗), gx∗) + d(F(y∗, x∗), gy∗)) ∈ P. But P ∩ (−P) = θ gives that ψ(d(F(x∗, y∗), gx∗) + d(F(y∗, x∗), gy∗)) = θ. By (ψ1), we get d(F(x∗, y∗), gx∗) + d(F(y∗, x∗), gy∗) = θ. This shows that d(F(x∗, y∗), gx∗) = d(F(y∗, x∗), gy∗) = θ and so F(x∗, y∗) = gx∗, F(y∗, x∗) = gy∗. Thus, F and g have a coupled coincidence point. If we let ψ be the identity map in Theorem 2, then we have the following Corollary. Corolary 4. Let (X, ⊑) be a partially ordered set and (X, d) be a cone metric space. Suppose F : X × X → X and g : X → X be two functions such that F(X × X) ⊆ g(X) and (g(X), d) is a complete subspace of X. Let F satisfy mixed g-monotone property and d(F(x, y), F(u, v)) + d(F(y, x), F(v, u)) ≼ ϕ(d(gx, gu) + d(gy, gv)) for all x, y, u, v ∈ X with (gx ⊑ gu) and (gy ⊒ gv) or (gx ⊒ gu) and (gy ⊑ gv). Suppose X has the following property: (i) if a nondecreasing sequence (xn) → x, then xn ⊑ x for all n. (ii) if a nonincreasing sequence (yn) → y, then y ⊑ yn for all n. If there exist x0, y0 ∈ X satisfying gx0 ⊑ F(x0, y0) and F(y0, x0) ⊑ gy0, then F and g have a coupled coincidence point. 144 Sushanta Kumar Mohanta CUBO 16, 2 (2014) Corolary 5. Let (X, ⊑) be a partially ordered set and (X, d) be a cone metric space. Suppose F : X × X → X and g : X → X be two functions such that F(X × X) ⊆ g(X) and (g(X), d) is a complete subspace of X. Let F satisfy mixed g-monotone property and d(F(x, y), F(u, v)) + d(F(y, x), F(v, u)) ≼ k(d(gx, gu) + d(gy, gv)) for some k ∈ [0, 1) and all x, y, u, v ∈ X with (gx ⊑ gu) and (gy ⊒ gv) or (gx ⊒ gu) and (gy ⊑ gv). Suppose X has the following property: (i) if a nondecreasing sequence (xn) → x, then xn ⊑ x for all n. (ii) if a nonincreasing sequence (yn) → y, then y ⊑ yn for all n. If there exist x0, y0 ∈ X satisfying gx0 ⊑ F(x0, y0) and F(y0, x0) ⊑ gy0, then F and g have a coupled coincidence point. Proof. The proof can be obtained from Theorem 2 by taking ψ = I, the identity map and ϕ(x) = kx, where k ∈ [0, 1) is a constant. The following Corollary is a generalization of the result [[3], Theorem 2.2]. Corolary 6. Let (X, ⊑) be a partially ordered set and (X, d) be a cone metric space. Suppose F : X × X → X and g : X → X be two functions such that F(X × X) ⊆ g(X) and (g(X), d) is a complete subspace of X. Let F satisfy mixed g-monotone property and d(F(x, y), F(u, v)) ≼ ad(gx, gu) + bd(gy, gv) for some a, b ∈ [0, 1) with a + b < 1 and all x, y, u, v ∈ X with (gx ⊑ gu) and (gy ⊒ gv) or (gx ⊒ gu) and (gy ⊑ gv). Suppose X has the following property: (i) if a nondecreasing sequence (xn) → x, then xn ⊑ x for all n. (ii) if a nonincreasing sequence (yn) → y, then y ⊑ yn for all n. If there exist x0, y0 ∈ X satisfying gx0 ⊑ F(x0, y0) and F(y0, x0) ⊑ gy0, then F and g have a coupled coincidence point. Proof. The proof follows from Theorem 2 by an argument similar to that used in Corollary 3. Theorem 3. In addition to hypothesis of either Theorem 1 or Theorem 2, suppose that any two elements of g(X) are comparable and g is one-one. Then F and g have a coupled coincidence point of the form (x∗, x∗) for some x∗ ∈ X. Proof. We first note that the set of coupled coincidence points of F and g is nonempty. We will show that if (x∗, y∗) is a coupled coincidence point of F and g, then x∗ = y∗. Since the elements of g(X) are comparable, we may assume that gx∗ ⊑ gy∗. Suppose that d(gx∗, gy∗) ̸= θ. Then, by using (ϕ1) we have ψ(d(gx∗, gy∗) + d(gy∗, gx∗)) = ψ(d(F(x∗, y∗), F(y∗, x∗)) + d(F(y∗, x∗), F(x∗, y∗))) ≼ ϕ(ψ(d(gx∗, gy∗) + d(gy∗, gx∗))) ≺ ψ(d(gx∗, gy∗) + d(gy∗, gx∗)), CUBO 16, 2 (2014) Coupled Coincidence Points for Generalized (ψ, ϕ)-Pair . . . 145 a contradiction. Therefore, d(gx∗, gy∗) = θ which gives that gx∗ = gy∗. Since g is one-one, it follows that x∗ = y∗. We conclude with an example. Example 1. Let E = R2, the Euclidean plane and P = {(x, x) ∈ R2 : x ≥ 0} a cone in E. Let X = [0, ∞) with the usual ordering and define d : X × X → E by d(x, y) = (| x − y |, | x − y |) for all x, y ∈ X. Then (X, d) is a partially ordered complete cone metric space. Define F : X×X → X as follows: F(x, y) = ⎧ ⎪⎪⎨ ⎪⎪⎩ x−y 6 , if x ≥ y 0, if x < y, for all x, y ∈ X and g : X → X with gx = x 3 for all x ∈ X. Then F(X × X) ⊆ g(X) = X and F satisfy mixed g-monotone property. Also F and g are continuous and commuting, g(0) ≤ F(0, 1) and g(1) ≥ F(1, 0). Let ψ,ϕ : P → P be defined by ψ(x, x) = (x 2 , x 2 ) and ϕ(x, x) = (3x 4 , 3x 4 ). Let x, y, u, v ∈ X be such that gx ≤ gu and gy ≥ gv. Now, we have Case-I (y > x and v > u). Then ψ(d(F(x, y), F(u, v)) + d(F(y, x), F(v, u))) = ψ ( d(0, 0) + d ( y − x 6 , v − u 6 )) = ψ ( | y − x − v + u | 6 , | y − x − v + u | 6 ) = ( | y − x − v + u | 12 , | y − x − v + u | 12 ) ≼ ( | x − u | 12 + | y − v | 12 , | x − u | 12 + | y − v | 12 ) . (5) Again, ϕ(ψ(d(gx, gu) + d(gy, gv))) = ϕ ( ψ ( d ( x 3 , u 3 ) + d ( y 3 , v 3 ))) = ϕ ( ψ (( | x − u | 3 , | x − u | 3 ) + ( | y − v | 3 , | y − v | 3 ))) = ( 3 | x − u | 24 + 3 | y − v | 24 , 3 | x − u | 24 + 3 | y − v | 24 ) . (6) 146 Sushanta Kumar Mohanta CUBO 16, 2 (2014) It follows from conditions (5) and (6) that ψ(d(F(x, y), F(u, v)) + d(F(y, x), F(v, u))) ≼ ϕ(ψ(d(gx, gu) + d(gy, gv))). Case-II (y > x and u ≥ v). Then ψ(d(F(x, y), F(u, v)) + d(F(y, x), F(v, u))) = ψ ( d ( 0, u − v 6 ) + d ( y − x 6 , 0 )) = ψ (( u − v 6 , u − v 6 ) + ( y − x 6 , y − x 6 )) = ( u − v + y − x 12 , u − v + y − x 12 ) ≼ ( | x − u | 12 + | y − v | 12 , | x − u | 12 + | y − v | 12 ) ≺ ( 3 | x − u | 24 + 3 | y − v | 24 , 3 | x − u | 24 + 3 | y − v | 24 ) = ϕ(ψ(d(gx, gu) + d(gy, gv))). Case-III (x ≥ y and u ≥ v). Then ψ(d(F(x, y), F(u, v)) + d(F(y, x), F(v, u))) = ψ ( d ( x − y 6 , u − v 6 ) + d(0, 0) ) = ( | x − y − u + v | 12 , | x − y − u + v | 12 ) ≼ ( | x − u | 12 + | y − v | 12 , | x − u | 12 + | y − v | 12 ) ≼ ( 3 | x − u | 24 + 3 | y − v | 24 , 3 | x − u | 24 + 3 | y − v | 24 ) = ϕ(ψ(d(gx, gu) + d(gy, gv))). The case x ≥ y and v > u is not possible. As gx ≤ gu and gy ≥ gv, it follows that x ≤ u and y ≥ v. 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