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Fixed point theorems for w-cone distance contraction mappings in tvs-cone metric spaces
Fixed Point Theory and Applications volume 2012, Article number: 3 (2012)
Abstract
In this article, we introduce the concept of a w-cone distance on topological vector space (tvs)-cone metric spaces and prove various fixed point theorems for w-cone distance contraction mappings in tvs-cone metric spaces. The techniques of the proof of our theorems are more complex then in the corresponding previously published articles, since a new technique was necessary for the considered class of mappings. Presented fixed point theorems generalize results of Suzuki and Takahashi, Abbas and Rhoades, Pathak and Shahzad, Raja and Veazpour, Hicks and Rhoades and several other results existing in the literature.
Mathematics subject classification (2010): 47H10; 54H25.
1 Introduction and preliminaries
There exist many generalizations of the concept of metric spaces in the literature. Fixed point theory in abstract metric or K-metric spaces was developed in the middle of 70th years of twentieth century. Huang and Zhang [1] re-introduced and studied the concept of cone metric spaces over a Banach space, and proved several fixed point theorems. Then, there have been a lot of articles in which known fixed point theorems in metric are extended to cone metric spaces. Recently, Du [2] used the scalarization function and investigated the equivalence of vectorial versions of fixed point theorems in K-metric spaces and scalar versions of fixed point theorems in metric spaces. He showed that many of the fixed point theorems for mappings satisfying contractive conditions of a linear type in K-metric spaces can be considered as corollaries of corresponding theorems in metric spaces. Nevertheless, the fixed point theory in K-metric spaces proceeds to be actual, since the method of scalarization function cannot be applied for a wide class of weakly contractive mapping, satisfying nonlinear contractive conditions.
Kada et al. [3] introduced and studied the concept of w-distance on a metric space. They give examples of w-distance and improved Caristi's fixed point theorem, Ekeland's ε-variational's principle and the nonconvex minimization theorem according to Takahashi (see many useful examples and results on w-distance in [4–8] and in references there in).
Definition 1. [3]. Let X be a metric space with metric d. Then a function p : X × X → [0, ∞) is called a w-distance on X if the following are satisfied:
(1) p(x, z) ≤ p(x, y) + p(y, z), for any x, y, z ∈ X,
(2) for any x ∈ X, p(x, ·): X → [0, ∞) is lower semicontinuous,
(3) for any ε > 0, there exist δ > 0 such that p(z, x) ≤ δ and p(z, y) ≤ δ imply d(x, y) ≤ ε.
In the following we suppose that E is a real Hausdorff topological vector space (tvs for short) with the zero vector θ. A proper nonempty and closed subset P of E is called a (convex) cone if P + P ⊂ P, λP ⊂ P for λ ≥ 0 and P ∩ (-P) = θ. We shall always assume that the cone P has a nonempty interior int P (such cones are called solid).
Each cone P induces a partial order ≼ on E by x ≼ y ⇔ y - x ∈ P. x ≺ y will stand for x ≼ y and x ≠ y, while x ≪ y will stand for y - x ∈ int P. The pair (E, P) is an ordered tvs.
Let us recall that the algebraic operations in tvs-cone are continuous functions. For the convenience of the reader we give the next result.
Lemma 2. Let E be a tvs over ℱ = ℝ, ℂ.
(1) Suppose that x n , y n , x, y ∈ E and x n → x and y n → y. Then x n + y n → x + y.
(2) Suppose that x n , x ∈ E, λ n , λ ∈ ℱ, x n → x and λ n → λ. Then λ n x n → λ x .
Proof. (1) Suppose that W ⊂ E is an open set and x + y ∈ W. Let us define f : E × E ↦ E by f(u, v) = u + v, u, v ∈ E. Because f is continuous at (x, y) there is an open set G ⊂ E × E such that (x, y) ∈ G and f(G) ⊂ W. Now there are open sets U i , V i ⊂ E, i ∈ I, such that G = ∪ i∈I U i × V i . Hence, there exists i0∈I such that . Because and x n → x, there exists n1 such that for all n ≥ n1. Also, because and y n → y, there exists n2 such that for all n ≥ n2. Hence, for all n ≥ max{n1, n2}.Thus, x n + y n → x + y.
-
(2)
Suppose that W ⊂ E is an open set and λx ∈ W. Let us define g : ℱ × ℰ ↦ ℰ by g(μ, v) = μv, μ ∈ ℱ, v ∈ ℰ. Because g is continuous at (λ, x) there is an open set G ⊂ ℱ × ℰ such that (λ, x) ∈ G and g(G) ⊂ W. Now there are open sets U i ⊂ ℱ, V i ⊂ ℰ, i ∈ I, such that G = ∪ i∈I U i × V i . Hence, there exists i 0 ∈ I such that . Because and λ n → λ, there exists n 1 such that for all n ≥ n 1. Also, because and x n → x, there exists n 2 such that for all n ≥ n 2. Hence, for all n ≥ max{n 1, n 2}. Thus, λ n x n → λx. ■
Following [1, 2, 9, 10] we give the following
Definition 3. Let X be a nonempty set and (E.P) an ordered tvs. A function d : X × X → E is called a tvs-cone metric and (X, d) is called a tvs-cone metric space if the following conditions hold:
(C 1) θ ≼ d(x, y) for all x, y ∈ X and d(x, y) = θ if and only if x = y;
(C 2) d(x, y) = d(y, x) for all x, y ∈ X;
(C 3) d(x, z) ≼ d(x, y) + d(y, z) for all x, y, z ∈ X.
Let x ∈ X and {x n } be a sequence in X. Then, it is said that
-
(i)
{x n } (tvs-cone) converges to x if for every c ∈ E with θ ≪ c there exists a natural number n 0 such that d(x n , x) ≪ c for all n > n 0; we denote it by limn→∞xn = x or x n → x as n → ∞;
-
(ii)
{x n }is a (tvs-cone) Cauchy sequence if for every c ∈ E with 0 ≪ c there exists a natural number n 0 such that d(x m , x n ) ≪ c for all m, n > n 0;
-
(iii)
(X, d) is (tvs-cone) complete if every tvs-Cauchy sequence is (tvs) convergent in X.
Let (X, d) be a tvs-cone metric space. Then the following properties are often used (see e.g., [1, 2, 9–13]).
(p1) If u ≤ v and v ≪ w then u ≪ w.
(p2) If a ≤ b + c for each c ∈ int P then a ≤ b.
(p3) If a ≤ λa, where a ∈ P and 0 < λ < 1, then a = θ.
(p4) If ε ∈ int P, θ ≤ a n and a n → θ, then there exists n0 such that for all n > n0 we have a n ≪ ε.
2 w-Cone distance in tvs-cone metric spaces
Let (X, d) be a tvs-cone metric space. Then
(c1) T : X → X is continuous at x ∈ X if x n is a sequence in X and lim x n = x implies T(x) = lim T(x n ).
(c2) G : X → P is lower semicontinuous at x ∈ X if for any ε in E with θ ≪ ε, there is n0 in ℕ such that
whenever {x n } is a sequence in X and x n → x.
(c3) For x ∈ X, T : X → X, O(x; ∞) = {x, Tx, T2x, ...} is called the orbit of x. G : X → P is
T-orbitally lower semicontinuous at x if for any ε in E with θ ≪ ε, there is n0 in ℕ such that (1) with x = u holds whenever x n ∈ O(x; ∞) and x n → u.
Observe that if in definitions (c1), (c2) and (c3) we have E = ℝ, P = [0, ∞), ||x|| = |x|, x ∈ E, then we get the well-known definitions of continuity, lower and T-orbitally lower semicontinuity.
Definition 4. Let (X, d) be a tvs-cone metric space. Then, a function p : X × X → P is called a w-cone distance on X if the following are satisfied:
( w1) p(x, z) ≤ p(x, y) + p(y, z), for any x, y, z ∈ X,
( w2) for any x ∈ X, p(x, ·): X → P is lower semicontinuous,
( w3) for any ε in E with θ ≪ ε, there is δ in E with θ ≪ δ, such that p(z, x) ≪ δ and p(z, y) ≪ δ imply d(x, y) ≪ ε.
Example 5. Let (X, d) be a cone metric space. Then, a cone metric d is a w-cone distance p on X.
Proof. Clearly, if p = d, a w-cone distance p satisfies (w1) and (w3). So we have only to prove (w2). Suppose that x, y ∈ X, y n ∈ X, y n → y and ε in E with θ ≪ ε be arbitrary. Since y n → y, then there is n0 in ℕ such that d(y n , y) ≪ ε for all n ≥ n0. Define G(y) = d(x, y). Then we have
for all n ≥ n0. Therefore p(x, ·) = d(x, ·) is lower semicontinuous.
Remark 6. Wang and Guo[14]defined the concept of c-distance on a cone metric space in the sense of Huang and Zhang[1], which is also a generalization of w-distance of Kada et al. [3]. They proved a common fixed point theorem (Theorem 2.2) by using c-distance in a cone metric space (X, d), where a cone P is normal with normal constant K. Now we shall present an example (Example 7 below), which shows that there are cone metric spaces where underlying cone is not normed, and so theorems of Wang and Guo[14]cannot be applied. On the other case, our presented fixed point theorems for mappings under contractive conditions expressed in the terms of w-distance can be applied, although the underlying cone is not normed.
Example 7. Let E = C[0, 1] be the Banach space of real-valued continuous functions with the usual norm
and let a cone P be defined by P = {f ∈ E : f(t) ≥ 0 for t ∈ [0, 1]}. This cone is normal in the Banach-space topology on E. Let τ* be the strongest locally convex topology on the linear vector space E. Then, intP ≠ ∅, but the cone P is not normal in the topology τ*. Indeed, if we suppose, to the contrary, that P is normal cone, then the topology τ* is normed (see, e.g.,[15]). But if the cone of an ordered tvs is solid and normal, then such tvs must be an ordered normed space, which is impossible because an infinite dimensional space with the strongest locally convex topology cannot be metrizable (see, e.g.,[13]). Let now X = [0, +∞) and d : X × X → (E, τ*) be defined by d(x, y)(t) = |x - y|.et. Then (X, d) is a tvs-cone metric space over the non normedzable linear tvs (E, τ*).
The following lemma is crucial and is an extension of Lemma 1 in [3] for a w-metric distance to a w-cone distance.
Lemma 8. Let (X, d) be a tvs-cone metric space and let p be a w-cone distance on X. Let {x n } and {y n } be sequences in X, let{α n } with θ ≤ α n , and {β n } with θ ≤ β n , be sequences in E converging to θ, and let x, y, z ∈ X. Then the following hold:
(i) If p(x n , y) ≤ α n and p(x n , z) ≤ β n for any n ∈ ℕ, then y = z. In particular, if p(x, y) = θ
and p(x, z) = θ, then y = z.
(ii) If p(x n , y n ) ≤ α n and p(x n , z) ≤ β n for any n ∈ ℕ, then {y n } converges to z.
(iii) If p(x n , x m ) ≤ α n for any n, m ∈ ℕ with m > n, then {x n } is a Cauchy sequence.
(iv) If p(y, x n ) ≤ α n for any n ∈ ℕ, then {x n } is a Cauchy sequence.
Proof. We shall prove (ii). Let ε in E with θ ≪ ε be arbitrary. From (w3) of Definition 4 there is δ in E with θ ≪ δ, such that p(x n , y n ) ≪ δ and p(y n , z) ≪ δ imply d(y n , z) ≪ ε. Since α n → θ and β n → θ, there is n0 ∈ N such that α n ≤ δ and β n ≤ δ for all n ≥ n0. Then for all n ≥ n0 we have
Thus from (w3), d(y n , z) ≪ ε. Hence y n → z as n → ∞. Similarly, following lines of the proof of Lemma 1 in [3], one can prove (i), (iii) and (iv). ■
3 Fixed point theorems for w-cone distance contraction mappings in K-metric spaces
We note that the method of Du [2] for cone contraction mappings cannot be applied for a w-cone distance contraction mappings.
In the following theorem, which extends and improves Theorem 2 of [3] and Theorem 1 of [5], we give an estimate for a w-cone distance p(x n , z) of an approximate value x n and a fixed point z.
Theorem 9. Let (X, d) be a complete tvs-cone metric space with w-cone distance p on X. Suppose that for some 0 ≤ k < 1 a mapping T : X → X satisfies the following condition:
Assume that either of the following holds:
(i) If y ≠ Ty, there exists c ∈ int(P), c ≠ θ, such that
(ii) T is continuous.
Then, there exists z ∈ X, such that z = Tz and
Moreover, if v = Tv for some v ∈ X, then p(v, v) = θ.
Proof. Let x ∈ X and define a sequence {x n } by x0 = x; x n = Tnx for any n ∈ N . Then from (2) we have, for any n ∈ N,
Thus, if m > n, then from (w1) of Definition 4 and (4),
Hence, by (iii) of Lemma 8 with α n = [kn /(1 - k)] · p(x, Tx), {x n } is a Cauchy sequence in X. Since X is complete, {x n } converges to some point z ∈ X.
Now we shall prove the estimate (3). Define a function G : X → P by G(x) = p(x n , x), where n is any fixed positive integer. Since x n → z as n → ∞, from (w2) of Definition 4 and (2) we have that for any ε in E with θ ≪ ε, there is m0 in ℕ such that
Thus by (5) we get
Hence, as x n = Tnx,
Thus, taking ε = ε/i we have
From (7) and by definition of the partial order ≤ on E, we obtain
By Lemma 2, it is easy to show that
Therefore, as P is closed,
From the definition of partial order ≤, (8) is equivalent to (3). Thus we proved (3).
Suppose that the case (i) is satisfied. We have to prove that Tz = z. Suppose, to the contrary, that z ≠ Tz. Then from (i) there exists c ∈ int(P) such that
From (6) and (3) we conclude that there exists n0 ∈ ℕ such that
Since x n → z as n → ∞, by (ii) of Definition 4 with , there exists m0> n0, such that Then from (9) with x = x n , and from (10), we have
a contradiction, as c ∈int(P) Therefore, our assumption z ≠ Tz was wrong and so z = Tz.
If v = Tv then we have,
and by (p3) we have p(v, v) = 0.
If v = Tv then we have, by using (4),
Hence
Since P is closed, by Lemma 2, we get
and P is closed, we get -p(v, v) ∈ P. Since also p(v, v) ∈ P, then p(v, v) = 0.
To complete the proof, we have to prove (ii). Suppose that T is continuous. Then from (c1), as {x n } converge to z, we have
Thus we proved that T(z) = z and so the proof is complete. ■
Now we shall present an example where our Theorem 9 can be applied, but the main Theorem 2.2 of Wang and Guo [14] cannot.
Example 10. Let X = [0, +∞) and d : X × X → (E, τ*) be defined by d(x, y)(t) = |x - y|.et, as in Example 7 above. Then (X, d) is a tvs-cone metric space over the non-normed linear tvs (E, τ*). Define a mapping T : X → X by Tx = x/ 2. Then T satisfies the following condition:
and if y ≠ Ty, there exists c ∈ int(P), c ≠ θ , such that
Thus all hypotheses of our Theorem 9 are satisfied and z = 0 is a fixed point of T. Note that the mapping T : X → X satisfies the condition (2.1) in the main Theorem 2.2 of Wang and Guo[14]with g(x) = x and a1 = 1/ 2, a2 = a3 = a4 = 0, but Theorem 2.2 cannot be applied since a cone P is not normed.
The following corollary implies the recent result Theorem 3.5. of [4].
Corollary 11. Let (X, d) be a complete tvs-cone metric space with w-cone distance p on X and 0 ≤ r < 1/2. Suppose T : X → X and
Assume that either (i) or (ii) of Theorem 9 holds. Then, there exists z ∈ X, such that z = Tz. Moreover, if v = Tv, then p(v, v) = θ.
Proof. Let x ∈ X. From (12) we have p(Tx, T2x) ≤ rp(x, T2x) ≤ r[p(x, Tx) + p(Tx, T2x)]. Hence we get
where 0 ≤ k = r/(1 - r) < 1. Now, Corollary 11 follows from Theorem 9. ■
If f : X → X and F(f) is a set of all fixed points of f, then in a general case F(f) ≠ F(fn ). Abbas and Rhoades [11] studied cases when F(f) = F(fn ) for each n ∈ ℕ, that is, when f has a property P. The following theorem extends and improves Theorem 2 of [11].
Theorem 12. Let (X, d) be a complete tvs-cone metric space with w-cone distance p on X. Suppose T : X → X satisfies the following condition:
where 0 ≤ k < 1, or T satisfies strict the inequality (13) with k = 1, for all x ∈ X with x ≠ Tx. If F(T) ≠ ∅, then T has property P.
Proof. Let u ∈ F(Tn ) for some n > 1. Suppose that T satisfies (13). Then
Similarly as from (11) we get p(v, v) = θ, from (14) we obtain p(u, Tu) = θ. Then from (14), p(Tiu, Ti+1u) ≤ kip(u, Tu) = θ for all i ∈ ℕ. Now, from (w1) of Definition 4 and Tnu = u we get
Thus p(u, u) = θ. Hence, and by (i) of Lemma 8 with x = u, y = Tu and z = u, we have Tu = u. Now suppose that T satisfies strict the inequality (13) with k = 1 and let u ∈ F(Tn ). If we suppose that Tu ≠ u, then we have p(Tu, T2u) < p(u, Tu). If we suppose that Tu = T2u, then Tiu = TTiu for all i ∈ N. Thus we have
a contradiction with p(Tu, T2u) < p(u, Tu). Therefore, Tu ≠ T2u. Then we have p(T2u, T3u) < p(Tu, T2u) < p(u, Tu). Continuing this process we obtain
a contradiction. Therefore, our supposition Tu ≠ u was wrong. Thus we proved that F(Tn ) = F(T). ■
The following theorem extends Theorem 2.1 of [16] and implies Theorem 3.7 of [17].
Theorem 13. Let (X, d) be a complete tvs-cone metric space with w-cone distance p on X and 0 ≤ k < 1. Suppose T : X → X and there exists an x ∈ X such that
Then,
(i) lim Tnx = z exists and
(ii) p(z, Tz) = θ if and only if G(x) = p(x, Tx) is T-orbitally lower semicontinuous at z.
Proof. Observe that (i) follows from the proof of Theorem 9. Now we prove (ii). It is clear that p(z, Tz) = θ implies G(z) = p(z, Tz) = θ and hence G(z) ≤ G(x n ) + ε for any ε in E with θ ≪ ε and all x n ∈ 0(x, ∞). Suppose now that G is T-orbitally lower semicontinuous at z. Then from (c3), as x n = Tnx → z, for any ε in E with θ ≪ ε there is n0 in ℕ such that
for all n ≥ n0 and i ≥ 1. Hence . Letting n → ∞, By Lemma 2, we get . Hence, we get p(z, Tz) = θ. ■
The following theorem extends and unifies Theorem 2 of [6] and results of ([1, 18]).
Theorem 14. Let (X, d) be a complete tvs-cone metric space with w-cone distance p on X and 0 ≤ k < 1. Suppose that T : X → X is a p-contractive mapping i.e.,
Then, T has a unique fixed point z ∈ X, and p(z, z) = θ.
Proof. Let x ∈ X and define xn+1= Tnx for any n ∈ N. Then, from the proof of Theorem 9, lim Tnx = z ∈ X and (3) holds for all n ≥ 1. From (3) we have
and from (15) and (3) we get
Thus from Lemma 2 and (i) of Lemma 8, with α n = β n = [kn /(1 - k)] · p(x, Tx) we obtain Tz = z. Then p(z, z) = p(Tz, T2z) ≤ kp(z, Tz) = kp(z, z). Hence, p(z, z) = θ. Suppose that u ∈ X is also a fixed point of T. Then p(z, u) = p(Tz, Tu) ≤ kp(z, u) and hence p(z, u) = θ. From p(z, u) = θ, p(z, z) = θ and by (i) of Lemma 8, we have u = z. ■
In 1998, Ume [8] proved the w-distance version of Ćirić's [19] results for quasi-contraction on metric space. Recently, cone metric version of Ćirić's results has been proved [12]. Now, a natural question arises:
Question. Let (X, d) be a complete tvs-cone metric space with w-cone distance p on X. Suppose f : X ↦ X such that for some constant λ ∈ (0, 1) and for every x, y ∈ X, there exists v ∈ {p(x, y), p(x, fx), p(y, fy), p(x, fy), p(y, fx)}, such that p(fx, fy) ≤ λ · v. Does there exist a unique fixed point z ∈ X of f, and p(z, z) = θ?
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Acknowledgements
Authors are supported by Grant No. 174025 of the Ministry of Science, Technology and Development, Republic of Serbia. HL would like to thank Professors Ljubomir Ćirić and Vladimir Rakočević for his valuable help throughout the preparation of this article.
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Ćirić, L., Lakzian, H. & Rakočević, V. Fixed point theorems for w-cone distance contraction mappings in tvs-cone metric spaces. Fixed Point Theory Appl 2012, 3 (2012). https://doi.org/10.1186/1687-1812-2012-3
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DOI: https://doi.org/10.1186/1687-1812-2012-3