Common Fixed Point Theorems in a New Fuzzy Metric Space
Abstract
We generalize the Hausdorff fuzzy metric in the sense of Rodríguez-López and Romaguera, and we introduce a new M∞-fuzzy metric, where M∞-fuzzy metric can be thought of as the degree of nearness between two fuzzy sets with respect to any positive real number. Moreover, under ϕ-contraction condition, in the fuzzy metric space, we give some common fixed point theorems for fuzzy mappings.
1. Introduction
The concept of fuzzy sets was introduced initially by Zadeh [1] in 1965. After that, to use this concept in topology and analysis, many authors have expansively developed the theory of fuzzy sets and application [2, 3]. In the theory of fuzzy topological spaces, one of the main problems is to obtain an appropriate and consistent notion of fuzzy metric space. This problem was investigated by many authors [4–13] from different points of view. George and Veeramani’s fuzzy metric space [6] has been widely accepted as an appropriate notion of metric fuzziness in the sense that it provides rich topological structures which can be obtained, in many cases, from classical theorems. Further, it is necessary to mention that this fuzzy metric space has very important application in studying fixed point theorems for contraction-type mappings [7, 14–16]. Besides that, a number of metrics are used on subspaces of fuzzy sets. For example, the sendograph metric [17–19] and the d∞-metric for fuzzy sets [20–25] induced by the Hausdorff-Pompeiu metric have been studied most frequently, where d∞-metric is an ordinary metric between two fuzzy sets. Combining fuzzy metric (in the sense of George and Veeramani) and Hausdorff-Pompeiu metric, Rodríguez-Lópezand Romaguera [26] construct a Hausdorff fuzzy metric, where Hausdorff fuzzy metric can be thought of as the degree of nearness between two crisp nonempty compact sets with respect to any positive real number.
In this present investigation, considering the Hausdorff-Pompeiu metric and theories on fuzzy metric spaces (in the sense of George and Veeramani) together, we study the degree of nearness between two fuzzy sets as a natural generalization of the degree of nearness between two crisp sets, in turn, it helps in studying new problems in fuzzy topology. Based on the Hausdorff fuzzy metric HM, we introduce a suitable notion for the M∞-fuzzy metric on the fuzzy sets whose λ-cut are nonempty compact for each λ ∈ [0,1]. In particular, we explore several properties of M∞-fuzzy metric. Then, under ϕ-contraction condition, we give some common fixed point theorems in the fuzzy metric space on fuzzy sets.
2. Preliminaries
According to [27], a binary operation * : [0,1]×[0,1]→[0,1] is called a continuous t-norm if ([0,1], *) is an Abelian topological semigroups with unit 1 such that a*b ≤ c*d whenever a ≤ c and b ≤ d for all a, b, c, d ∈ [0,1].
Definition 2.1 (see [6].)The 3-tuple (X, M, *) is said to be a fuzzy metric space if X is an arbitrary set, * is a continuous t-norm, and M is a fuzzy set on X2 × (0, ∞) satisfying the following conditions, for all x, y, z ∈ X, t, s > 0:
- (i)
M(x, y, t) > 0;
- (ii)
M(x, y, t) = 1 if and only if x = y;
- (iii)
M(x, y, t) = M(y, x, t);
- (iv)
M(x, z, t + s) ≥ M(x, y, t)*M(z, y, s);
- (v)
M(x, y, −):(0, ∞)→[0,1] is continuous.
If (X, M, *) is a fuzzy metric space, it will be said that (M, *) is a fuzzy metric on X.
Lemma 2.2 (see [6].)Let (X, M, *) be a fuzzy metric space and let τ be the topology induced by the fuzzy metric. Then, for a sequence {xn} n∈ℕ in X, xn → x if and only if M(xn, x, t) → 1 as n → ∞ for all t > 0.
Definition 2.3 (see [6].)A sequence {xn} n∈ℕ in a fuzzy metric space (X, M, *) is called a Cauchy sequence if and only if for each 1 > ε > 0, t > 0, there exists n0 ∈ ℕ such that M(xn, xm, t) > 1 − ε for all n, m ≥ n0. A fuzzy metric space is said to be complete if and only if every Cauchy sequence is convergent.
Definition 2.4 (see [13].)Let A be a nonempty subset of a fuzzy metric space (X, M, *). For a ∈ X and t > 0, M(a, A, t) = sup {M(a, y, t)∣y ∈ A, t > 0}.
Lemma 2.5 (see [28].)Let G be a set and let {Gα : α ∈ [0,1]} be a family of subsets of G such that
- (1)
G0 = G;
- (2)
α ≤ β implies Gβ⊆Gα;
- (3)
α1 ≤ α2 ≤ ⋯, lim n→∞ αn = α implies .
Lemma 2.6 (see [26].)Let (X, M, *) be a fuzzy metric space. Then, (C(X), HM, *) is complete if and only if (X, M, *) is complete.
Lemma 2.7 (see [26].)Let (X, d) be a metric space. Then, the Hausdorff fuzzy metric of the standard fuzzy metric (Md, ·) coincides with standard fuzzy metric of the Hausdorff metric Hd on C(X).
3. On M∞-Fuzzy Metric
Definition 3.1. Let (X, M, *) be a fuzzy metric space. The M∞-fuzzy metric between two fuzzy sets is induced by the Hausdorff fuzzy metric HM as
Lemma 3.2. Let (X, M, *) be a fuzzy metric space, μ1, μ2, μ3 ∈ 𝒞(X), s, t > 0. Then one has
- (1)
M∞(μ1, μ2, t)∈(0,1],
- (2)
M∞(μ1, μ2, t) = M∞(μ2, μ1, t),
- (3)
ρ∞(μ1, μ2, t) = 1 if and only if μ1⊆μ2,
- (4)
M∞(μ1, μ2, t) = 1 if and only if μ1 = μ2,
- (5)
if μ1⊆μ2, then ρ∞(μ1, μ3, t + s) ≥ M∞(μ2, μ3, t),
- (6)
ρ∞(μ1, μ3, t + s) ≥ M∞(μ1, μ2, t)*ρ∞(μ2, μ3, s),
- (7)
M∞(μ1, μ3, t + s) ≥ M∞(μ1, μ2, t)*M∞(μ2, μ3, s),
- (8)
M∞(μ1, μ2, −):(0, ∞)→[0,1] is continuous.
Proof. For (1), by the definition of the λ-cut [μ1] λ, for every λ ∈ I, [μ1] λ is nonempty compact in X. By the theorem of nested intervals, there exists a point a0 in [μ1] λ for every λ ∈ I, likewise, there exists a points b0 in [μ2] λ for every λ ∈ I. Thus, M∞(μ1, μ2, t) > 0. Moreover, it is clear that A = B⇔HM(A, B, t) = 1⇔M∞(μ1, μ2, t) = 1.
For (2), it is clear that M∞(μ1, μ2, t) = M∞(μ2, μ1, t).
For (3), since ρ∞(μ1, μ2, t) = 1 if and only if ρ([μ1] λ, [μ2] λ, t) = 1 for all λ ∈ I, which implies [μ1] λ⊆[μ2] λ for all λ ∈ I, we have that ρ∞(μ1, μ2, t) = 1 if and only if μ1⊆μ2.
For (4), it follows from (3).
For (5), for every λ ∈ I, any x ∈ [μ1] λ, y ∈ [μ2] λ and z ∈ [μ3] λ, by the proof of Theorem 1 in [26], we have
For (6), for every λ ∈ I, by the proof of (5) and (iv) of Definition 2.1, we have
For (7), for every λ ∈ I, by the proof of (6), we have
For (8), by the continuity on (0, ∞) of the function t ↦ HM(A, B, t), it is clear that M∞(μ1, μ2, −):(0, ∞)→[0,1] is continuous.
Theorem 3.3. Let (X, M, *) be a fuzzy metric space. Then, (𝒞(X), M∞, *) is a fuzzy metric space, where M∞ is a fuzzy set on the 𝒞(X) × 𝒞(X)×(0, +∞).
Proof. It is easily proved by Lemma 3.2.
Example 3.4. Let d be the Euclidean metric on ℝ, and let A = [a1, a2] and let B = [b1, b2] be two compact intervals. Then, Hd(A, B) = max {|a1 − b1 | , |a2 − b2|}. Let (ℝ, Md, *) be a fuzzy metric space, where a*b the usual multiplication for all a, b ∈ [0,1], and Md is defined on ℝ × ℝ × (0, ∞) by
4. Properties of the M∞-Fuzzy Metric
Definition 4.1. Let (𝒞(X), M∞, *) be a fuzzy metric space. For t ∈ (0, +∞), define B(μ, r, t) with center a fuzzy set μ ∈ 𝒞(X) and radius r, 0 < r < 1, t > 0 as
Proposition 4.2. Every B(μ, r, t) is an open set.
Proof. It is identical with the proof in [6].
Proposition 4.3. Let (𝒞(X), M∞, *) be a fuzzy metric space. Define .
Then, is a topology on 𝒞(X).
Proof. It is identical with the proof in [6].
Definition 4.4. A sequence {μn} in a fuzzy metric space (𝒞(X), M∞, *) is a Cauchy sequence if and only if for each ε > 0, t > 0, there exists n0 ∈ ℕ such that M∞(μn, μm, t) > 1 − ε for all n, m ≥ n0.
Lemma 4.5. Let (𝒞(X), M∞, *) be a fuzzy metric space on fuzzy metric M∞ and let τ be the topology induced by the fuzzy metric M∞. Then, for a sequence {μn} in 𝒞(X), μn → μ if and only if M∞(μ, μn, t) → 1 as n → ∞.
Proof. It is identical with the proof of Theorem 3.11 in [6].
Theorem 4.6. The fuzzy metric space (𝒞(X), M∞, *) is complete provided (X, M, *) is complete.
Proof. Let (X, M, *) be a complete fuzzy metric space and let a sequence {μn, n ≥ 1} be a Cauchy sequence in 𝒞(X). Consider a fixed 0 < λ < 1. Then, {[μn] λ, n ≥ 1} is a Cauchy sequence in (C(X), HM, *), where C(X) denotes all nonempty compact subsets of (X, M, *).
Since (C(X), HM, *) is complete by Lemma 2.6, it follows that [μn] λ → μλ ∈ C(X). Actually, from the definition of M∞ and the continuity of HM, it is easy to see that [μn] λ → μλ, uniformly in λ ∈ [0,1].
Now, consider the family {μλ : λ ∈ [0,1]}, where μ0 = X. Take λ ≤ β, we have
Now, take λn↑ and lim n→∞λn = λ. We have to show that . It is clear that
Thus, , if j is large.
Finally, by taking j large enough, we obtain
Let ε > 0. Then, since {μn} is a Cauchy sequence, there exists nε such that n, m > nε implies M∞(μn, μm, t) > 1 − ε.
Let n(>nε) be fixed. Then,
Lemma 4.7. Let (X, M, *) be a compact fuzzy metric space and compact subsets A, B ∈ C(X). Then, for each x ∈ A and t > 0, there exists a y ∈ B such that M(x, y, t) ≥ HM(A, B, t).
Proof. Suppose there exists a x0 ∈ A such that M(x0, y, t) < HM(A, B, t) for any y ∈ B and t > 0. Then,
Lemma 4.8. Let (X, M, *) be a compact fuzzy metric space, t > 0 and A, B ∈ C(X). Then, for any compact set A1⊆A, there exists a compact set B1⊆B such that HM(A1, B1, t) ≥ HM(A, B, t).
Proof. Let C = {y: there exists a x ∈ A1 such that M(x, y, t) ≥ HM(A, B, t)} and let B1 = C⋂ B. For any x ∈ A1⊆A, t > 0, by Lemma 4.7, there exists a y ∈ B such that
Now, for any x ∈ A1, t > 0, there exists a y ∈ B1 such that
Hence, HM(A1, B1, t) ≥ HM(A, B, t). This completes the proof.
Theorem 4.9. Let (X, M, *) be a compact fuzzy metric space and μ1, μ2 ∈ 𝒞(X), t > 0. Then, for any μ3 ∈ 𝒞(X) satisfying μ3⊆μ1, there exists a μ4 ∈ 𝒞(X) such that μ4⊆μ2 and
Proof. Since μ1, μ2, and μ3 are normal, we have ∅ ≠ [μ3] λ⊆[μ1] λ and ∅ ≠ [μ2] λ for all λ ∈ I. Let
From the proof of Lemma 4.8, we have
Definition 4.10 (see [24].)Let X, Y be any fuzzy metric space. ℱ is said to be a fuzzy mapping if and only if ℱ is a mapping from the space 𝒞(X) into 𝒞(Y), that is, ℱ(μ) ∈ 𝒞(Y) for each μ ∈ 𝒞(X).
5. Common Fixed Point Theorems in the Fuzzy Metric Space on Fuzzy Sets
Theorem 5.1. Let (X, M, *) be a compact fuzzy metric space and let be a sequence of fuzzy self-mappings of 𝒞(X). Let ϕ : [0,1]→[0,1] be a nondecreasing function satisfying the following condition: ϕ is continuous from the left and
Proof. Let μ0 ∈ 𝒞(X) and μ1⊆ℱ1(μ0). By Theorem 4.9, for any t > 0, there exists μ2 ∈ 𝒞(X) such that μ2⊆ℱ2(μ1) and
Theorem 5.2. Let (X, M, *) be a compact fuzzy metric space and let be a sequence of fuzzy self-mappings of 𝒞(X). Suppose that for each μ1, μ2 ∈ 𝒞(X), and for arbitrary positive integers i and j, i ≠ j, t > 0,
Proof. Let μ0 ∈ 𝒞(X) and μ1⊆ℱ1(μ0). By Theorem 4.9, for any t > 0, there exists μ2 ∈ 𝒞(X) such that μ2⊆ℱ2(μ1) and
Now, we give an example to illustrate the validity of the results in fixed point theory. For simplicity, we only exemplify Theorem 5.1, while the example may be similarly constructed for Theorem 5.2.
Example 5.3. Let (𝒞(X), M∞, *) be a fuzzy metric space, where X = [−1,1], Md, HM, and M∞ are the same as in Example 3.4. Then, (𝒞(X), M∞, *) is a compact metric space.
Now, define ϕ : [0,1]→[0,1] as , and define a sequence of fuzzy self-mappings of 𝒞(X) as
For arbitrary positive integers i and j, without loss of generality, suppose i < j. For each μ1, μ2 ∈ 𝒞(X), by a routine calculation, we have
6. Conclusion
So far many authors have made a great deal of work in the Hausdorff-Pompeiu metric [20–25]. To describe the degree of nearness between two crisp sets, Rodrguez-López and Romaguera have defined Hausdorff fuzzy metric. In this paper, we define a new M∞-fuzzy metric, which describes the degree of nearness between two fuzzy sets. Then, some properties on M∞-fuzzy metric are discussed. In addition, in this new circumstances, we give some fixed point theorems which are the important generalizations of contraction mapping principle in functional analysis.
The results of the present paper may be applied in different settings. In terms of topology, one can make use of topology in data analysis and knowledge acquisition [31]. For another, topologies corresponding to fuzzy sets are used to detect dependencies of attributes in information systems with respect to gradual rules as in [32]. Furthermore, fuzzy fixed point theory can be used in existence and continuity theorems for dynamical systems with some vague parameters [33, 34]. In addition, this work offers a new tool for the description and analysis of fuzzy metric spaces. It would be possible to obtain more topological properties on the new fuzzy metric space. So, we hope our results contribute to dealing with some problems in practical applications for future study.
Acknowledgments
The authors thank the anonymous reviewers for their valuable comments. This work was supported by National Natural Science Foundation (NSFC) of China (Grant no. 61170320), Mathematical Tianyuan Foundation of China (Grant no. 11126087), Foundation of Guangdong Natural Science (no. S2011040002981), and Science and Technology Research Program of Chongqing Municipal Educational Committee (Grant no. KJ100518).