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Volume 2011, Article ID 363716, 14 pagesdoi:10.1155/2011/363716 Research Article Common Coupled Fixed Point Theorems for Contractive Mappings in Fuzzy Metric Spaces Xin-Qi Hu School of M

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Volume 2011, Article ID 363716, 14 pages

doi:10.1155/2011/363716

Research Article

Common Coupled Fixed Point Theorems for

Contractive Mappings in Fuzzy Metric Spaces

Xin-Qi Hu

School of Mathematics and Statistics, Wuhan University, Wuhan 430072, China

Correspondence should be addressed to Xin-Qi Hu,xqhu.math@whu.edu.cn

Received 23 November 2010; Accepted 27 January 2011

Academic Editor: Ljubomir B Ciric

Copyrightq 2011 Xin-Qi Hu This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

We prove a common fixed point theorem for mappings under φ-contractive conditions in fuzzy

metric spaces We also give an example to illustrate the theorem The result is a genuine generalization of the corresponding result of S.Sedghi et al.2010

1 Introduction

Since Zadeh 1 introduced the concept of fuzzy sets, many authors have extensively developed the theory of fuzzy sets and applications George and Veeramani 2, 3 gave the concept of fuzzy metric space and defined a Hausdorff topology on this fuzzy metric space which have very important applications in quantum particle physics particularly in

connection with both string and E-infinity theory.

Bhaskar and Lakshmikantham 4, Lakshmikantham and ´Ciri´c 5 discussed the mixed monotone mappings and gave some coupled fixed point theorems which can be used

to discuss the existence and uniqueness of solution for a periodic boundary value problem Sedghi et al.6 gave a coupled fixed point theorem for contractions in fuzzy metric spaces, and Fang7 gave some common fixed point theorems under φ-contractions for compatible

and weakly compatible mappings in Menger probabilistic metric spaces Many authors8

23 have proved fixed point theorems in intuitionistic fuzzy metric spaces or probabilistic metric spaces

In this paper, using similar proof as in7, we give a new common fixed point theorem under weaker conditions than in6 and give an example which shows that the result is a genuine generalization of the corresponding result in6

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2 Preliminaries

First we give some definitions

Definition 1see 2 A binary operation ∗ : 0, 1 × 0, 1 → 0, 1 is continuous t-norm if ∗

is satisfying the following conditions:

1 ∗ is commutative and associative;

2 ∗ is continuous;

3 a ∗ 1  a for all a ∈ 0, 1;

4 a ∗ b ≤ c ∗ d whenever a ≤ c and b ≤ d for all a, b, c, d ∈ 0, 1.

Definition 2see 24 Let sup0<t<1 Δt, t  1 A t-norm Δ is said to be of H-type if the family

of functions{Δm t}m1is equicontinuous at t 1, where

Δ1t  tΔt, Δ m 1t  tΔΔ m t, m  1, 2, , t ∈ 0, 1. 2.1

The t-normΔM  min is an example of t-norm of H-type, but there are some other

t-normsΔ of H-type 24

Obviously,Δ is a H-type t norm if and only if for any λ ∈ 0, 1, there exists δλ ∈ 0, 1

such thatΔm t > 1 − λ for all m ∈, when t > 1 − δ.

Definition 3see 2 A 3-tuple X, M, ∗ is said to be a fuzzy metric space if X is an arbitrary

nonempty set,∗ is a continuous t-norm, and M is a fuzzy set on X2× 0, ∞ satisfying the following conditions, for each x, y, z ∈ X and t, s > 0:

FM-1 Mx, y, t > 0;

FM-2 Mx, y, t  1 if and only if x  y;

FM-3 Mx, y, t  My, x, t;

FM-4 Mx, y, t ∗ My, z, s ≤ Mx, z, t s;

FM-5 Mx, y, · : 0, ∞ → 0, 1 is continuous.

LetX, M, ∗ be a fuzzy metric space For t > 0, the open ball Bx, r, t with a center

x ∈ X and a radius 0 < r < 1 is defined by

B x, r, t y ∈ X : Mx, y, t

A subset A ⊂ X is called open if, for each x ∈ A, there exist t > 0 and 0 < r < 1 such that

B x, r, t ⊂ A Let τ denote the family of all open subsets of X Then τ is called the topology

on X induced by the fuzzy metric M This topology is Hausdorff and first countable.

Example 1 Let X, d be a metric space Define t-norm a∗ b  ab and for all x, y ∈ X and t > 0,

M x, y, t  t/t dx, y Then X, M, ∗ is a fuzzy metric space We call this fuzzy metric

M induced by the metric d the standard fuzzy metric.

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Definition 4see 2 Let X, M, ∗ be a fuzzy metric space, then

1 a sequence {x n } in X is said to be convergent to x denoted by lim n→ ∞xn  x if

lim

for all t > 0;

2 a sequence {x n } in X is said to be a Cauchy sequence if for any ε > 0, there exists

n0∈, such that

for all t > 0 and n, m ≥ n0;

3 a fuzzy metric space X, M, ∗ is said to be complete if and only if every Cauchy sequence in X is convergent.

Remark 1see 25 1 For all x, y ∈ X, Mx, y, · is nondecreasing.

2 It is easy to prove that if x n → x, y n → y, t n → t, then

lim

n→ ∞M

x n , y n , t n

 Mx, y, t

3 In a fuzzy metric space X, M, ∗, whenever Mx, y, t > 1 − r for x, y in X, t > 0,

0 < r < 1, we can find a t0, 0 < t0< t such that M x, y, t0 > 1 − r.

4 For any r1> r2, we can find an r3such that r1∗ r3≥ r2and for any r4we can find a

r5such that r5∗ r5≥ r4 r1, r2, r3, r4, r5∈ 0, 1.

Definition 5see 6 Let X, M, ∗ be a fuzzy metric space M is said to satisfy the n-property

on X2× 0, ∞ if

lim

n→ ∞



x, y, k n tn p

whenever x, y ∈ X, k > 1 and p > 0.

Lemma 1 Let X, M, ∗ be a fuzzy metric space and M satisfies the n-property; then

lim

t→ ∞M

x, y, t

Proof If not, since M x, y, · is nondecreasing and 0 ≤ Mx, y, · ≤ 1, there exists x0, y0 ∈ X

such that limt→ ∞M x0, y0, t   λ < 1, then for k > 1, k n t → ∞ when n → ∞ as t > 0 and

we get limn→ ∞Mx0, y0, k n tn p

 0, which is a contraction

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Remark 2 Condition2.7 cannot guarantee the n-property See the following example.

defined as following:

ψ t 

t, 0 < t ≤ 4,

1− 1

ln t , t > 4,

2.8

where α  1/21 − 1/ ln 4 Then ψt is continuous and increasing in 0, ∞, ψt ∈ 0, 1

and limt→ ∞ψ t  1 Let

x, y, t

ψ td x,y

thenX, M, ∗ is a fuzzy metric space and

lim

t→ ∞M

x, y, t

 lim

t→ ∞



ψ td x,y  1, ∀x, y ∈ X. 2.10

But for any x /  y, p  1, k > 1, t > 0,

lim

n→ ∞



x, y, k n tn p

 lim

n→ ∞



ψ k n td x,y·n p

 lim

n→ ∞

1− lnk1n

t

n ·dx,y

 e −dx,y/ ln k /  1.

2.11

DefineΦ  {φ : R → R }, where R  0, ∞ and each φ ∈ Φ satisfies the following

conditions:

φ-1 φ is nondecreasing;

φ-2 φ is upper semicontinuous from the right;

φ-3∞

n0φ n t < ∞ for all t > 0, where φ n 1t  φφ n t, n ∈

It is easy to prove that, if φ ∈ Φ, then φt < t for all t > 0.

Lemma 2 see 7 Let X, M, ∗ be a fuzzy metric space, where ∗ is a continuous t-norm of H-type.

If there exists φ ∈ Φ such that if

x, y, φ t≥ Mx, y, t

for all t > 0, then x  y.

F

x, y

y, x

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Definition 7see 5 An element x, y ∈ X × X is called a coupled coincidence point of the mappings F : X × X → X and g : X → X if

F

x, y

y, x

 gy

the mappings F : X × X → X and g : X → X if

x  Fx, y

 gx, y  Fy, x

 gy

if

lim

n→ ∞M

gF

xn, yn

, F

g x n , gyn

, t

 1,

lim

n→ ∞M

gF

yn, xn

, F

g

yn

, g x n, t

for all t > 0 whenever {x n } and {y n } are sequences in X, such that

lim

n→ ∞F

x n , y n

 lim

n→ ∞gxn   x, lim

n→ ∞F

y n , x n

 lim

n→ ∞g

y n

for all x, y ∈ X are satisfied.

if

g

F

x, y

 Fgx, gy

for all x, y ∈ X.

Remark 3 It is easy to prove that, if F and g are commutative, then they are compatible.

3 Main Results

For convenience, we denote



x, y, tn

 Mx, y, t ∗ Mx, y, t ∗ · · · ∗ Mx, y, t  

n

,

3.1

for all n

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Theorem 1 Let X, M, ∗ be a complete FM-space, where ∗ is a continuous t-norm of H-type

such that

F

x, y

, F u, v, φt≥ Mg x, gu, t∗ Mg

y

, g v, t, 3.2

for all x, y, u, v ∈ X, t > 0.

Suppose that F X × X ⊆ gX, and g is continuous, F and g are compatible Then there exist

x, y ∈ X such that x  gx  Fx, x, that is, F and g have a unique common fixed point in X.

x1, y1 ∈ X such that gx1  Fx0, y0 and gy1  Fy0, x0 Continuing in this way we can construct two sequences{x n } and {y n } in X such that

g x n 1  Fx n , y n

y n 1

 Fy n , x n

The proof is divided into 4 steps

Since∗ is a t-norm of H-type, for any λ > 0, there exists a μ > 0 such that

1 − μ ∗ 1 − μ ∗ · · · ∗ 1 − μ

k

≥ 1 − λ,

3.4

for all k∈

Since Mx, y, · is continuous and lim t→ ∞M x, y, t  1 for all x, y ∈ X, there exists

t0> 0 such that

gx0, gx1, t0



gy0, gy1, t0



On the other hand, since φ ∈ Φ, by condition φ-3 we have∞n1φ n t0 < ∞ Then for any t > 0, there exists n0∈ such that

t >



k n0

From condition3.2, we have

gx1, gx2, φ t0 MF

x0, y0



, F

x1, y1



, φ t0

≥ Mgx0, gx1, t0



∗ Mgy0, gy1, t0



,

gy1, gy2, φ t0 MF

y0, x0



, F

y1, x1



, φ t0

≥ Mgy0, gy1, t0

∗ Mgx0, gx1, t0

.

3.7

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Similarly, we can also get

gx2, gx3, φ2t0 MF

x1, y1

, F

x2, y2

, φ2t0

≥ Mgx1, gx2, φ t0∗ Mgy1, gy2, φ t0

≥M

gx0, gx1, t02

∗M

gy0, gy1, t02

,

gy2, gy3, φ2t0 MF

y1, x1



, F

y2, x2



, φ2t0

≥M

gy0, gy1, t0

2∗M

gx0, gx1, t0

2

.

3.8

Continuing in the same way we can get

gx n , gx n 1, φ n t0≥M

gx0, gx1, t02n−1

∗M

gy0, gy1, t02n−1

,

gy n , gy n 1, φ n t0≥M

gy0, gy1, t02n−1

∗M

gx0, gx1, t02n−1

.

3.9

So, from3.5 and 3.6, for m > n ≥ n0, we have

gxn, gxm, t

≥ M



gxn, gxm,



k n0

φ k t0



≥ M



gx n , gx m ,

m−1

k n

φ k t0



≥ Mgx n , gx n 1, φ n t0∗ Mgx n 1, gx n 2, φ n 1t0∗ · · · ∗ Mgx m−1, gx m , φ m−1t0

≥M

gy0, gy1, t0

2n−1

∗M

gx0, gx1, t0

2n−1

∗M

gy0, gy1, t0

2n

∗M

gx0, gx1, t02n

∗ · · · ∗M

gy0, gy1, t02m−2

∗M

gx0, gx1, t02m−2

M

gy0, gy1, t02m−nm n−3

∗M

gx0, gx1, t02m−nm n−3

≥ 1 − μ ∗ 1 − μ ∗ · · · ∗ 1 − μ

22m−nm n−3

≥ 1 − λ,

3.10 which implies that

gx n , gx m , t

for all m, n∈with m > n ≥ n0and t > 0 So {gx n} is a Cauchy sequence

Similarly, we can get that{gy n} is also a Cauchy sequence

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Step 2 Prove that g and F have a coupled coincidence point.

Since X complete, there exist x, y ∈ X such that

lim

n→ ∞F

xn, yn

 lim

n→ ∞g x n   x, lim

n→ ∞F

yn, xn

 lim

n→ ∞g

yn

Since F and g are compatible, we have by3.12,

lim

n→ ∞M

gF

xn, yn

, F

g x n , gyn

, t

 1,

lim

n→ ∞M

gF

yn, xn

, F

g

yn

, g x n, t

for all t > 0 Next we prove that gx  Fx, y and gy  Fy, x.

For all t > 0, by condition3.2, we have

gx, F

x, y

, φ t

≥ Mggxn 1, F

x, y

, φ k1t∗ Mgx, ggxn 1, φ t − φk1t

 MgF

xn, yn

, F

x, y

, φ k1t∗ Mgx, ggxn 1, φ t − φk1t

≥ MgF

xn, yn

, F

gxn, gyn

, φ k1t  − φk2t

∗ MF

gxn, gyn

, F

x, y

, φ k2t∗ Mgx, ggxn 1, φ t − φk1t

≥ MgF

x n , y n

, F

gx n , gy n

, φ k1t  − φk2t

∗ Mggx n , gx, k2t

∗ Mggy n , gy, k2t

∗ Mgx, ggx n 1, φ t − φk1t,

3.14

for all 0 < k2< k1< 1 Let n → ∞, since g and F are compatible, with the continuity of g, we

get

gx, F

x, y

which implies that gx  Fx, y Similarly, we can get gy  Fy, x.

Since∗ is a t-norm of H-type, for any λ > 0, there exists an μ > 0 such that

1 − μ ∗ 1 − μ ∗ · · · ∗ 1 − μ

k

≥ 1 − λ,

3.16

for all k∈

Since Mx, y, · is continuous and lim t→ ∞ M x, y, t  1 for all x, y ∈ X, there exists

t0> 0 such that M gx, y, t0 ≥ 1 − μ and Mgy, x, t0 ≥ 1 − μ.

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On the other hand, since φ ∈ Φ, by condition φ-3 we have∞n1φ n t0 < ∞ Then for any t > 0, there exists n0∈ such that t >∞

k n0φ k t0 Since

gx, gyn 1, φ t0 MF

x, y

, F

yn, xn

, φ t0

≥ Mgx, gyn, t0



∗ Mgy, gxn, t0



,

3.17

letting n → ∞, we get

gx, y, φ t0≥ Mgx, y, t0

∗ Mgy, x, t0

Similarly, we can get

gy, x, φ t0≥ Mgx, y, t0

∗ Mgy, x, t0

From3.18 and 3.19 we have

gx, y, φ t0∗ Mgy, x, φ t0≥M

gx, y, t0

2

∗M

gy, x, t0

2

By this way, we can get for all n∈,

gx, y, φ n t0∗ Mgy, x, φ n t0≥M

gx, y, φ n−1t02∗M

gy, x, φ n−1t02

≥M

gx, y, t0

2n

∗M

gy, x, t0

2n

.

3.21

Then, we have

gx, y, t

∗ Mgy, x, t

≥ M



gx, y,



k n0

φ k t0



∗ M



gy, x,



k n0

φ k t0



≥ Mgx, y, φ n0t0∗ Mgy, x, φ n0t0

≥M

gx, y, t0

2n0

∗M

gy, x, t0

2n0

≥ 1 − μ ∗ 1 − μ ∗ · · · ∗ 1 − μ

22n0

≥ 1 − λ.

3.22

So for any λ > 0 we have

gx, y, t

∗ Mgy, x, t

for all t > 0 We can get that gx  y and gy  x.

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Step 4 Prove that x  y.

Since∗ is a t-norm of H-type, for any λ > 0, there exists an μ > 0 such that

1 − μ ∗ 1 − μ ∗ · · · ∗ 1 − μ

k

for all k∈

Since Mx, y, · is continuous and lim t→ ∞M x, y, t  1, there exists t0 > 0 such that

M x, y, t0 ≥ 1 − μ.

On the other hand, since φ ∈ Φ, by condition φ-3 we have∞n1φ n t0 < ∞ Then for any t > 0, there exists n0∈ such that t >∞

k n0φ k t0

Since for t0> 0,

gxn 1, gyn 1, φ t0 MF

xn, yn

, F

yn, xn

, φ t0

≥ Mgx n , gy n , t0

∗ Mgy n , gx n , t0

.

3.25

Letting n → ∞ yields

x, y, φ t0≥ Mx, y, t0



∗ My, x, t0



Thus we have

x, y, t

≥ M



x, y,



k n0

φ k t0



≥ Mx, y, φ n0t0

≥M

x, y, t02n0

∗M

y, x, t02n0

≥ 1 − μ ∗ 1 − μ ∗ · · · ∗ 1 − μ  

22n0

≥ 1 − λ,

3.27

which implies that x  y.

Thus we have proved that F and g have a unique common fixed point in X.

This completes the proof of theTheorem 1

Taking g  I the identity mapping inTheorem 1, we get the following consequence

Corollary 1 Let X, M, ∗ be a complete FM-space, where ∗ is a continuous t-norm of H-type

satisfying2.7 Let F : X × X → X and there exists φ ∈ Φ such that

F

x, y

, F u, v, φt≥ Mx, u, t ∗ My, v, t

for all x, y, u, v ∈ X, t > 0.

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Then there exist x ∈ X such that x  Fx, x, that is, F admits a unique fixed point in X Let φt  kt, where 0 < k < 1, the following byLemma 1, we get the following

Corollary 2 see 6 Let a ∗ b ≥ ab for all a, b ∈ 0, 1 and X, M, ∗ be a complete fuzzy metric

F

x, y

, F u, v, kt≥ Mgx, gu, t

∗ Mgy, gv, t

for all x, y, u, v ∈ X, where 0 < k < 1, FX × X ⊂ gX and g is continuous and commutes with F.

Then there exists a unique x ∈ X such that x  gx  Fx, x.

Next we give an example to demonstrateTheorem 1

Example 3 Let X  ư2, 2, a ∗ b  ab for all a, b ∈ 0, 1 ψ is defined as 2.8 Let

x, y, t

ψ t|xưy| , 3.30

for all x, y ∈ 0, 1 Then X, M, ∗ is a complete FM-space.

Let φt  t/2, gx  x and F : X × X → X be defined as

F

x, y

 x2

8 y2

Then F satisfies all the condition ofTheorem 1, and there exists a point x 2 ư 2√3 which is

the unique common fixed point of g and F.

In fact, it is easy to see that FX × X  ư2, ư1,

F

x, y

, F u, v, φtψ φt|x2ưu2 y2ưv2|/8 , 3.32

For all t > 0 and x, y ∈ ư2, 2 3.28 is equivalent to

ψ



t

2

|x2ưu2 y2ưv2|/8

≥ψ t|xưu|·ψ t|yưv| 3.33

Since ψt ∈ 0, 1, we can get

ψ



t

2

|x2ưu2 y2ưv2|/8

ψ



t

2

|xưu|/2

·

ψ



t

2

|yưv|/2

From3.33, we only need to verify the following:

ψ



t

2

|xưu|/2

≥ψ t|xưu| , 3.35

...

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Step Prove that g and F have a coupled coincidence point.

Since X complete, there...

for all n

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Theorem Let X, M, ∗ be a complete FM-space, where ∗ is a continuous... and g have a unique common fixed point in X.

This completes the proof of theTheorem

Taking g  I the identity mapping in< /i>Theorem 1, we get the following consequence

Corollary

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