• No results found

Vol 3, No 6 (2012)

N/A
N/A
Protected

Academic year: 2020

Share "Vol 3, No 6 (2012)"

Copied!
7
0
0

Loading.... (view fulltext now)

Full text

(1)

Available online through

ISSN 2229 – 5046

FIXED POINT THEOREMS IN POLISH SPACE TAKING CONCEPT OF 2-METRIC

Rajesh Shrivastava* & Richa Gupta**

*Head of Department of Mathematics, Govt. Science and Commerce College, Benazir, Bhopal (M.P.) **Department of Mathematics, RKDF Institute of Science and Technology, Bhopal (M.P.)

(Received on: 09-06-12; Accepted on: 30-06-12)

ABSTRACT

I

n this paper, We established Some Common Fixed Point Theorems for Random Operator in polish spaces, by using some new type of contractive condition taking concept of 2-metric space motivated by Sharma, Sharma and Iskey[16]. Our result is generalization of our result for polish space and also various known results.

Key Words: Polish Space, Random Operator, Random Multivalued Operator, Random Fixed Point, Measurable Mapping, 2-metruc spaces.

AMS Subject Classification: 47H10, 54H25.

1. INTRODUCTION

Probabilistic functional analysis has emerged as one of the important mathematical disciplines in view of its role in analyzing Probabilistic models in the applied sciences. The study of fixed point of random operator forms a central topic in this area. Random fixed point theorem for contraction mappings in Polish spaces and random Fixed point theorems are of fundamental importance in probabilistic functional analysis. There study was initiated by the Prague school of Probabilistics, in 1950, with their work of Spacek [15] and Hans [5,6]. For example survey are refer to Bharucha-Reid[4]. Itoh [8] proved several random fixed point theorems and gave their applications to Random differential equations in Banach spaces. Random coincidence point theorems and random fixed point theorems are stochastic generalization of classical coincidence point theorems and classical fixed point theorems.

Random fixed point theorems are stochastic generalization of classical fixed point theorems. Itoh [8] extended several well known fixed point theorems, thereafter; various stochastic aspects of Schauder’s fixed point theorem have been studied by Sehgal and Singh [14], Papageorgiou [12], Lin [13] and many authors. In a separable metric space, random fixed point theorems for contractive mappings were proved by Spacek [15], Hans [5, 6]. Afterwards, Beg and Shahzad [2], Badshah and Sayyad studied the structure of common random fixed points and random coincidence points of a pair of compatible random operators and proved the random fixed point theorems for contraction random operators in Polish spaces.

2. PRELIMINARIES

In this section, we give some definitions which are useful to prove our results.

Definition: 2.1: A metric space (X, d) is said to be a Polish Space, if it satisfying following conditions: (i) X, is complete,

(ii) X is separable,

Definition 2.2: 2-Metric space

(2.2.1) A 2- metric space is a space X in which for each triple of points x, y, z, there exists a real function d (x, y, z) such that

[M1] to each pair of distinct points x, y, z, d (x, y, z) β‰  0 [M2] d (x, y, z) = 0 when at lest two of x, y, z are equal [M3] d (x, y, z) = d (y, z, x) = d (x, z, y)

[M4] d (x, y, z) ≀ d (x, y, v) + d (x, v, z) + d (v, y, z) for all x, y, z, v in X.

Definition (2.2.2): A sequence {xn} in a 2-metic space (X, d) is said to be convergent at x if limit d (xn, x, z) = 0 for all z in X as n β†’βˆž

Corresponding author: Richa Gupta**

(2)

Definition (2.2.3) A sequence {xn} in a 2-metric space, (x, d) is said to be Cauchy sequence if limit d (xn, x, z) = 0 for all z in X and m, n β†’βˆž

Definition (2.2.4) A 2-metic space (X, d) is said to be complete if every Cauchy sequence in X is convergent.

Before we describe our next hierarchy of set of reals of ever increasing complexity, we would like to consider a class of metric spaces under which we can unify 2Ο‰, ωω , β„› and there products. This will be helpful in formulating this hierarchy.( as well as future ones) Recall that a metric space (X, d) is complete if whenever (xn: nβˆˆΟ‰) is a sequence of member of X, such that for every Ο΅> 0 there is an N, such that m, nβ‰₯N implies d(xn, xm) <Ο΅, there is a single x in X such that limn<Ο‰xn = x. It is easy to see that 2Ο‰, ωω are polish space, So in fact is Ο‰ under the discrete topology, whose metric is given by letting d(x, y) = 1 when x β‰  y and d(x, y) = 0 when x = y. Let (X, d) be a Polish space that is a separable complete metric space and (Ξ©, q) be Measurable space. Let 2x be a family of all subsets of X and CB(X) denote the family of all nonempty bounded closed subsets of X. A mapping T:Ξ©β†’2X is called measurable if for any open subset C of X, Tβˆ’1(C) = {Ο‰βˆˆΞ©: f(Ο‰)∩ Cβ‰ 

Ο• ∈q. A mapping ΞΎ:Ξ©β†’X is said to be measurable selector of a measurable mapping T:Ξ©β†’2X , if ΞΎ is measurable and for any Ο‰ ∈Ω, ΞΎ(Ο‰)∈T(Ο‰). A mapping f:Ξ© Γ— Xβ†’X is called random operator, if for any x∈X, f(βˆ™, x) is measurable. A Mapping T:Ω× Xβ†’CB(X) is a random multivalued operator, if for every x∈X, T(βˆ™, x) is measurable. A measurable mapping ΞΎ:Ξ©β†’X is called random fixed point of a random multivalued operatorT:Ω× Xβ†’CB(X) (f:Ω× Xβ†’X)if for every Ο‰βˆˆΞ©, ΞΎ(Ο‰)∈TοΏ½Ο‰,ΞΎ(Ο‰)οΏ½ , f(Ο‰),ΞΎ(Ο‰) = ΞΎ(Ο‰)). Let T:Ω× Xβ†’CB(X) be a random operator And {ΞΎn} a sequence of measurable mappings , ΞΎn:Ξ©β†’X. The sequence {ΞΎn} is said to be asymptotically T-regular if d(ΞΎn(Ο‰), TοΏ½Ο‰,ΞΎn(w)οΏ½ β†’0.

3. MAIN RESULTS

Theorem 3.1 Let X be a Polish space associated with 2-metric. Let T, S:Ω× Xβ†’CB(X) be two continuous random multivalued operators. If there exists measurable mappings Ξ±,Ξ²,Ξ³,δ∢ Ξ©β†’(0,1) and a(w) is also a measurable function greater than zero such that,

HοΏ½S(Ο‰, x), T(Ο‰, y), a(w)οΏ½ ≀ Ξ±(Ο‰)οΏ½

dοΏ½x,S(Ο‰,x),a(w)οΏ½dοΏ½y,T(Ο‰,y),a(w)οΏ½dοΏ½x,T(Ο‰,y)οΏ½ +d(x(Ο‰),y(Ο‰),a(w) )d(y,S(Ο‰,x),a(w) ),d(x,T(Ο‰,y),a(w) )

1+d(y(Ο‰),S(Ο‰,x),a(w) )d(y(Ο‰),T(Ο‰,y),a(w) ) οΏ½

+ Ξ²(Ο‰)[ d(x, S(Ο‰, x), a(w) ) + d(y, T(Ο‰,y), a(w) )]

+ Ξ³(Ο‰)[d(y,S(Ο‰, x), a(w) ) + d(x, T(Ο‰, y), a(w) )] +Ξ΄(Ο‰) d(x(Ο‰), y(Ο‰), a(w)) 3.1(a)

For each x, y∈X ,Ο‰βˆˆΞ© and Ξ±,Ξ²,Ξ³,δ∈R+ with

0 ≀ Ξ±(Ο‰) + 2Ξ²(Ο‰) + 2Ξ³(Ο‰) +Ξ΄(Ο‰) < 1, and 1βˆ’Ξ±(Ο‰)βˆ’Ξ²(Ο‰)βˆ’Ξ³(Ο‰)β‰ 0, a(w) > 0 there exists a common random fixed point of S and T.

(hence H represents the Hausdroff 2βˆ’metric on CB(X) induced by the 2βˆ’metric d)

Proof: Let ΞΎ0βˆΆΞ©β†’X be an arbitrary measurable mapping and choose a measurable mapping ΞΎ1βˆΆΞ©β†’X such that

ΞΎ1(Ο‰)∈S(Ο‰,ΞΎ0(Ο‰), a(w) ) for each Ο‰βˆˆΞ©. then for eachΟ‰βˆˆΞ©.

HοΏ½SοΏ½Ο‰,ΞΎ0(Ο‰)οΏ½, TοΏ½Ο‰,ΞΎ1(Ο‰)οΏ½, a(w)οΏ½ ≀α(Ο‰)

⎣ ⎒ ⎒ ⎒

⎑dοΏ½ΞΎ0(Ο‰),SοΏ½Ο‰,ΞΎ0(Ο‰)οΏ½,a(w)οΏ½dοΏ½ΞΎ1(Ο‰),TοΏ½Ο‰,ΞΎ1(Ο‰)οΏ½,a(w)οΏ½dοΏ½ΞΎ0(Ο‰),TοΏ½Ο‰,ΞΎ1(Ο‰)οΏ½,a(w)οΏ½ +dοΏ½ΞΎ0(Ο‰),ΞΎ1(Ο‰),a(w)οΏ½dοΏ½ΞΎ1(Ο‰),SοΏ½Ο‰,ΞΎ0(Ο‰)οΏ½,a(w)οΏ½,dοΏ½ΞΎ0(Ο‰),TοΏ½Ο‰,ΞΎ1(Ο‰)οΏ½,a(w)οΏ½

1+dοΏ½ΞΎ0(Ο‰),SοΏ½Ο‰,ΞΎ0(Ο‰)οΏ½,a(w)οΏ½dοΏ½ΞΎ1(Ο‰),TοΏ½Ο‰,ΞΎ1(Ο‰)οΏ½,a(w)οΏ½

⎦ βŽ₯ βŽ₯ βŽ₯ ⎀

+ Ξ²(Ο‰)οΏ½dοΏ½ΞΎ0(Ο‰), SοΏ½Ο‰,ΞΎ0(Ο‰)οΏ½, a(w)οΏ½+ dοΏ½ΞΎ1(Ο‰), TοΏ½Ο‰,ΞΎ1(Ο‰)οΏ½, a(w)οΏ½οΏ½

+ Ξ³ (Ο‰)οΏ½dοΏ½ΞΎ1(Ο‰), SοΏ½Ο‰,ΞΎ0(Ο‰)οΏ½, a(w)οΏ½+ dοΏ½ΞΎ0(Ο‰), TοΏ½Ο‰,ΞΎ1(Ο‰)οΏ½, a(w)οΏ½οΏ½

+ Ξ΄(Ο‰)dοΏ½ΞΎ0(Ο‰),ΞΎ1(Ο‰), a(w)οΏ½

(3)

dοΏ½ΞΎ1(Ο‰),ΞΎ2(Ο‰), a(w)οΏ½ ≀α(Ο‰)

⎣ ⎒ ⎒

⎑dοΏ½ΞΎ0(Ο‰),ΞΎ1(Ο‰),a(w)οΏ½dοΏ½ΞΎ1(Ο‰),ΞΎ2(Ο‰),a(w)οΏ½dοΏ½ΞΎ0(Ο‰),ΞΎ2(Ο‰),a(w)οΏ½ +dοΏ½ΞΎ0(Ο‰),ΞΎ1(Ο‰),a(w)οΏ½dοΏ½ΞΎ1(Ο‰),ΞΎ1(Ο‰),a(w)οΏ½,dοΏ½ΞΎ0(Ο‰),ΞΎ2(Ο‰),a(w)οΏ½

1+dοΏ½ΞΎ0(Ο‰),ΞΎ1(Ο‰),a(w)οΏ½dοΏ½ΞΎ1(Ο‰),ΞΎ2(Ο‰),a(w)οΏ½

⎦ βŽ₯ βŽ₯ ⎀

+ Ξ²(Ο‰)οΏ½dοΏ½ΞΎ0(Ο‰),ΞΎ1(Ο‰), a(w)οΏ½+ dοΏ½ΞΎ1(Ο‰),ΞΎ2(Ο‰),a(w)οΏ½οΏ½

+ Ξ³ (Ο‰)οΏ½dοΏ½ΞΎ1(Ο‰),ΞΎ1(Ο‰), a(w)οΏ½+ dοΏ½ΞΎ0(Ο‰),ΞΎ2(Ο‰), a(w)οΏ½οΏ½+ Ξ΄(Ο‰)dοΏ½ΞΎ0(Ο‰),ΞΎ1(Ο‰), a(w)οΏ½

dοΏ½ΞΎ1(Ο‰),ΞΎ2(Ο‰), a(w)οΏ½ ≀α(1Ο‰βˆ’)+ Ξ±(Ξ²Ο‰(Ο‰)βˆ’)+ Ξ²(Ξ³Ο‰(Ο‰)βˆ’)+ Ξ³(ωδ()Ο‰)dοΏ½ΞΎ0(Ο‰),ΞΎ1(Ο‰), a(w)οΏ½

Let k = Ξ±(Ο‰)+ Ξ²(Ο‰)+ Ξ³(Ο‰)+ Ξ΄(Ο‰) 1βˆ’Ξ±(Ο‰)βˆ’Ξ²(Ο‰)βˆ’Ξ΄(Ο‰)

This gives

dοΏ½ΞΎ1(Ο‰),ΞΎ2(Ο‰), a(w)οΏ½ ≀k dοΏ½ΞΎ0(Ο‰),ΞΎ1(Ο‰), a(w)οΏ½

By Beg and Shahzad [2, lemma 2.3],, we obtain a measurable mapping ΞΎ3∢ Ξ©β†’X such that for all Ο‰βˆˆΞ©, ΞΎ3(Ο‰)∈ SοΏ½Ο‰,ΞΎ2(Ο‰), a(w)οΏ½ and

dοΏ½ΞΎ2(Ο‰),ΞΎ3(Ο‰), a(w)οΏ½ ≀dοΏ½ΞΎ1(Ο‰),ΞΎ2(Ο‰), a(w)οΏ½

≀α(Ο‰)

⎣ ⎒ ⎒

⎑dοΏ½ΞΎ1(Ο‰),ΞΎ2(Ο‰),a(w)οΏ½dοΏ½ΞΎ2(Ο‰),ΞΎ3(Ο‰),a(w)οΏ½dοΏ½ΞΎ1(Ο‰),ΞΎ3(Ο‰),a(w)οΏ½ +dοΏ½ΞΎ1(Ο‰),ΞΎ2(Ο‰),a(w)οΏ½dοΏ½ΞΎ2(Ο‰),ΞΎ2(Ο‰),a(w)οΏ½,dοΏ½ΞΎ1(Ο‰),ΞΎ3(Ο‰),a(w)οΏ½

1+dοΏ½ΞΎ1(Ο‰),ΞΎ2(Ο‰)οΏ½dοΏ½ΞΎ2(Ο‰),ΞΎ3(Ο‰),a(w)οΏ½

⎦ βŽ₯ βŽ₯ ⎀

+ Ξ²(Ο‰)οΏ½dοΏ½ΞΎ1(Ο‰),ΞΎ2(Ο‰), a(w)οΏ½+ dοΏ½ΞΎ2(Ο‰),ΞΎ3(Ο‰), a(w)οΏ½οΏ½

+ Ξ³ (Ο‰)οΏ½dοΏ½ΞΎ2(Ο‰),ΞΎ2(Ο‰), a(w)οΏ½+ dοΏ½ΞΎ1(Ο‰),ΞΎ3(Ο‰), a(w)οΏ½οΏ½

+ Ξ΄(Ο‰)dοΏ½ΞΎ1(Ο‰),ΞΎ2(Ο‰), a(w)οΏ½DοΏ½ΞΎ2(Ο‰),ΞΎ3(Ο‰), a(w)οΏ½

≀k dοΏ½ΞΎ1(Ο‰),ΞΎ2(Ο‰), a(w)οΏ½ k2dοΏ½ΞΎ0(Ο‰),ΞΎ1(Ο‰), a(w)οΏ½

Similarly, proceeding the same way, by induction, we get a sequence of measurable mapping ΞΎn:Ξ©β†’X suct that for n > 0 and for any Ο‰βˆˆΞ©,

ΞΎ2n+1(Ο‰)∈SοΏ½Ο‰,ΞΎ 2n(Ο‰), a(w)οΏ½ , and ΞΎ2n+2(Ο‰)∈TοΏ½Ο‰,ΞΎ 2n+1(Ο‰), a(w)οΏ½

This gives,

dοΏ½ΞΎn(Ο‰),ΞΎn+1(Ο‰), a(w)οΏ½ ≀kdοΏ½ΞΎnβˆ’1(Ο‰),ΞΎn(Ο‰), a(w)οΏ½ ≀ ⋯… … …≀ kndοΏ½ΞΎ

0(Ο‰),ΞΎ1(Ο‰), a(w), a(w)οΏ½

For any m, n∈N such that m >𝑛𝑛, also by using triangular inequality we have

dοΏ½ΞΎn(Ο‰),ΞΎm(Ο‰), a(w)οΏ½ ≀1kβˆ’nkdοΏ½ΞΎ0(Ο‰),ΞΎ1(Ο‰), a(w)οΏ½

Which tends to zero as nβ†’βˆž. It follows that οΏ½ΞΎn(Ο‰)οΏ½ is a Cauchy sequence and there exists a measurable mapping

ΞΎβˆΆΞ©β†’X such that ΞΎn(Ο‰)β†’ΞΎ(Ο‰) for eachΟ‰βˆˆΞ©. It implies thatΞΎ2n+1(Ο‰)β†’ ΞΎ(Ο‰). Thus we have for any Ο‰βˆˆΞ©,

dοΏ½ΞΎ(Ο‰), SοΏ½Ο‰,ΞΎ(Ο‰)οΏ½, a(w)οΏ½ ≀dοΏ½ΞΎ(Ο‰),ΞΎ2n+2(Ο‰), a(w)οΏ½+ dοΏ½ΞΎ(Ο‰), SοΏ½Ο‰,ΞΎ2n+2(Ο‰)οΏ½, a(w)οΏ½

(4)

Therefore,

dοΏ½ΞΎ(Ο‰), SοΏ½Ο‰,ΞΎ(Ο‰)οΏ½, a(w)οΏ½ ≀dοΏ½ΞΎ(Ο‰),ΞΎ2n+2(Ο‰), a(w), a(w)οΏ½

+Ξ±(Ο‰)

⎣ ⎒ ⎒ ⎒

⎑dοΏ½ΞΎ2n+2(Ο‰),SοΏ½Ο‰,ΞΎ2n+2(Ο‰)οΏ½,a(w)οΏ½dοΏ½ΞΎ2n+1(Ο‰),TοΏ½Ο‰,ΞΎ2n+1(Ο‰)οΏ½,a(w)οΏ½dοΏ½ΞΎ2n+2(Ο‰),TοΏ½Ο‰,ΞΎ2n+1(Ο‰)οΏ½,a(w)οΏ½ +dοΏ½ΞΎ2n+2(Ο‰),ΞΎ2n+1(Ο‰)οΏ½dοΏ½ΞΎ2n+1(Ο‰),SοΏ½Ο‰,ΞΎ2n+2(Ο‰)οΏ½οΏ½,dοΏ½ΞΎ2n+2(Ο‰),T(Ο‰,y)οΏ½

1+dοΏ½ΞΎ2n+1(Ο‰),SοΏ½Ο‰,ΞΎ2n+2(Ο‰)οΏ½,a(w)οΏ½dοΏ½ΞΎ2n+1(Ο‰),TοΏ½Ο‰,ΞΎ2n+1(Ο‰)οΏ½,a(w)οΏ½

⎦ βŽ₯ βŽ₯ βŽ₯ ⎀

+ Ξ²(Ο‰)οΏ½dοΏ½ΞΎ2n+2(Ο‰),SοΏ½Ο‰,ΞΎ2n+2(Ο‰)οΏ½, a(w)οΏ½+ dοΏ½ΞΎ2n+1(Ο‰), TοΏ½Ο‰,ΞΎ2n+1(Ο‰)οΏ½, a(w)οΏ½οΏ½

+ Ξ³(Ο‰) οΏ½dοΏ½ΞΎ2n+1(Ο‰), SοΏ½Ο‰,ΞΎ2n+2(Ο‰)οΏ½, a(w)οΏ½+ dοΏ½ΞΎ2n+2(Ο‰),TοΏ½Ο‰,ΞΎ2n+1(Ο‰)οΏ½οΏ½οΏ½

+Ξ΄(Ο‰) dοΏ½ΞΎ2n+2(Ο‰),ΞΎ2n+1(Ο‰)), a(w)οΏ½

Taking as𝑛𝑛 β†’βˆž, we have

π‘‘π‘‘οΏ½πœ‰πœ‰(πœ”πœ”),π‘†π‘†οΏ½πœ”πœ”,πœ‰πœ‰(πœ”πœ”)οΏ½,π‘Žπ‘Ž(𝑀𝑀)οΏ½ ≀ �𝛼𝛼(πœ”πœ”) + 𝛽𝛽(πœ”πœ”) + 𝛾𝛾(πœ”πœ”) + 𝛿𝛿(πœ”πœ”)οΏ½π‘‘π‘‘οΏ½πœ‰πœ‰(πœ”πœ”),π‘†π‘†οΏ½πœ”πœ”,πœ‰πœ‰(πœ”πœ”)οΏ½,π‘Žπ‘Ž(𝑀𝑀)οΏ½

Which contradiction, hence πœ‰πœ‰(πœ”πœ”) =𝑆𝑆(πœ”πœ”,πœ‰πœ‰(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀) ) for al lπœ”πœ” ∈ 𝛺𝛺.

Similarly, for anyπœ”πœ” ∈ 𝛺𝛺,

π‘‘π‘‘οΏ½πœ‰πœ‰(πœ”πœ”),π‘†π‘†οΏ½πœ”πœ”,πœ‰πœ‰(πœ”πœ”)οΏ½,π‘Žπ‘Ž(𝑀𝑀)οΏ½ ≀ 𝑑𝑑(πœ‰πœ‰(πœ”πœ”),πœ‰πœ‰2𝑛𝑛+1(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀)) + π»π»οΏ½π‘†π‘†οΏ½πœ”πœ”,πœ‰πœ‰2𝑛𝑛(πœ”πœ”)οΏ½,π‘‡π‘‡οΏ½πœ”πœ”,πœ‰πœ‰2𝑛𝑛+1(πœ”πœ”)οΏ½,π‘Žπ‘Ž(𝑀𝑀)οΏ½

Hence πœ‰πœ‰(πœ”πœ”) =𝑇𝑇(Ο‰,πœ‰πœ‰(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀) ) π‘“π‘“π‘“π‘“π‘“π‘“π‘Žπ‘Žπ‘Žπ‘Žπ‘Žπ‘Žπœ”πœ” ∈ 𝛺𝛺.

It is easy to see that, πœ‰πœ‰(πœ”πœ”) is common fixed point for π‘†π‘†π‘Žπ‘Žπ‘›π‘›π‘‘π‘‘π‘‡π‘‡ in X.

Uniqueness: Let us assume that, πœ‰πœ‰βˆ—(πœ”πœ”) is another fixed point of S and T in X, different from πœ‰πœ‰(πœ”πœ”), then we have

π‘‘π‘‘οΏ½πœ‰πœ‰(πœ”πœ”),πœ‰πœ‰βˆ—(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀)οΏ½ ≀ π‘‘π‘‘οΏ½πœ‰πœ‰(πœ”πœ”),π‘†π‘†οΏ½πœ”πœ”,πœ‰πœ‰

2𝑛𝑛(πœ”πœ”)οΏ½,π‘Žπ‘Ž(𝑀𝑀)οΏ½+𝐻𝐻�𝑆𝑆(πœ”πœ”,πœ‰πœ‰2𝑛𝑛(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀)),π‘‡π‘‡οΏ½πœ”πœ”,πœ‰πœ‰2𝑛𝑛+1(πœ”πœ”)οΏ½,π‘Žπ‘Ž(𝑀𝑀)οΏ½

+ π‘‘π‘‘οΏ½π‘‡π‘‡οΏ½πœ”πœ”,πœ‰πœ‰2𝑛𝑛+1(πœ”πœ”)οΏ½,πœ‰πœ‰βˆ—(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀)οΏ½

By using 3.1(π‘Žπ‘Ž) and 𝑛𝑛 β†’βˆž we have,

𝑑𝑑(πœ‰πœ‰(πœ”πœ”),πœ‰πœ‰βˆ—(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀))≀0

Which contradiction,

So we have, πœ‰πœ‰(πœ”πœ”) is unique common fixed point of S and T in X.

Corollary 3.2 Let X be a Polish space associated with 2-metric. Let 𝑆𝑆𝑝𝑝,π‘‡π‘‡π‘žπ‘žβˆΆ 𝛺𝛺×𝑋𝑋 β†’ 𝐢𝐢𝐢𝐢(𝑋𝑋) be two continuous random multivalued operators. If there exists measurable mappings 𝛼𝛼,𝛽𝛽,𝛾𝛾,𝛿𝛿 ∢ 𝛺𝛺 β†’(0,1) such that,

𝐻𝐻(𝑆𝑆𝑝𝑝(πœ”πœ”,π‘₯π‘₯),π‘‡π‘‡π‘žπ‘ž(πœ”πœ”,𝑦𝑦),π‘Žπ‘Ž(𝑀𝑀))≀ 𝛼𝛼(πœ”πœ”)οΏ½

𝑑𝑑�π‘₯π‘₯,𝑆𝑆𝑝𝑝 (πœ”πœ”,π‘₯π‘₯),π‘Žπ‘Ž(𝑀𝑀)�𝑑𝑑�𝑦𝑦,π‘‡π‘‡π‘žπ‘ž(πœ”πœ”,𝑦𝑦),π‘Žπ‘Ž(𝑀𝑀)�𝑑𝑑�π‘₯π‘₯,π‘‡π‘‡π‘žπ‘ž(πœ”πœ”,𝑦𝑦),π‘Žπ‘Ž(𝑀𝑀)οΏ½

+𝑑𝑑(π‘₯π‘₯(πœ”πœ”),𝑦𝑦(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀))𝑑𝑑(𝑦𝑦,𝑆𝑆𝑝𝑝(πœ”πœ”,π‘₯π‘₯),π‘Žπ‘Ž(𝑀𝑀)),𝑑𝑑(π‘₯π‘₯,π‘‡π‘‡π‘žπ‘ž(πœ”πœ”,𝑦𝑦),π‘Žπ‘Ž(𝑀𝑀))

1+𝑑𝑑(𝑦𝑦(πœ”πœ”),𝑆𝑆𝑝𝑝 (πœ”πœ”,π‘₯π‘₯),π‘Žπ‘Ž(𝑀𝑀))𝑑𝑑(𝑦𝑦(πœ”πœ”),π‘‡π‘‡π‘žπ‘ž(πœ”πœ”,𝑦𝑦),π‘Žπ‘Ž(𝑀𝑀)) οΏ½

+ 𝛽𝛽(πœ”πœ”)[ 𝑑𝑑(π‘₯π‘₯,𝑆𝑆𝑝𝑝(πœ”πœ”,π‘₯π‘₯),π‘Žπ‘Ž(𝑀𝑀)) + 𝑑𝑑(𝑦𝑦,π‘‡π‘‡π‘žπ‘ž(πœ”πœ”,𝑦𝑦),π‘Žπ‘Ž(𝑀𝑀))]

+ 𝛾𝛾(πœ”πœ”)[𝑑𝑑(𝑦𝑦,𝑆𝑆𝑝𝑝(πœ”πœ”,π‘₯π‘₯),π‘Žπ‘Ž(𝑀𝑀)) + 𝑑𝑑(π‘₯π‘₯,π‘‡π‘‡π‘žπ‘ž(πœ”πœ”,𝑦𝑦),π‘Žπ‘Ž(𝑀𝑀))] +𝛿𝛿(πœ”πœ”) 𝑑𝑑(π‘₯π‘₯(πœ”πœ”),𝑦𝑦(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀)) 3.2(π‘Žπ‘Ž)

For each π‘₯π‘₯,𝑦𝑦 ∈ 𝑋𝑋 ,πœ”πœ” ∈ 𝛺𝛺 and 𝛼𝛼,𝛽𝛽,𝛾𝛾,𝛿𝛿 ∈ 𝑅𝑅+ with 0 ≀ 𝛼𝛼(πœ”πœ”) + 2𝛽𝛽(πœ”πœ”) + 2𝛾𝛾(πœ”πœ”) + 𝛿𝛿(πœ”πœ”) < 1,and 1βˆ’ 𝛼𝛼(πœ”πœ”)βˆ’

𝛽𝛽(πœ”πœ”)βˆ’ 𝛾𝛾(πœ”πœ”)β‰ 0 , 𝑝𝑝,π‘žπ‘ž> 1 there exists a common random fixed point of S and T.

(5)

Proof: From the theorem 3.1 and on taking 𝑝𝑝=π‘žπ‘ž= 1 it is immediate to see that, the corollary is true. If not then we choose a πœ‰πœ‰0∢ 𝛺𝛺 β†’ 𝑋𝑋 be an arbitrary measurable mapping and choose a measurable mapping πœ‰πœ‰1∢ 𝛺𝛺 β†’ 𝑋𝑋 such that

πœ‰πœ‰1(πœ”πœ”)∈ 𝑆𝑆(πœ”πœ”,πœ‰πœ‰0(πœ”πœ”)) for each πœ”πœ” ∈ 𝛺𝛺. then for eachπœ”πœ” ∈ 𝛺𝛺, and by using 3.2(π‘Žπ‘Ž) the result is follows.

Theorem 3.3 Let X be a Polish space associated with2-metrc. Let 𝑇𝑇,𝑆𝑆:𝛺𝛺×𝑋𝑋 β†’ 𝐢𝐢𝐢𝐢(𝑋𝑋) be two continuous random multivalued operators. If there exists measurable mappings 𝛼𝛼,𝛽𝛽,𝛾𝛾,𝛿𝛿 ∢ 𝛺𝛺 β†’(0,1) such that,

𝐻𝐻�𝑆𝑆(πœ”πœ”,π‘₯π‘₯),𝑇𝑇(πœ”πœ”,𝑦𝑦),π‘Žπ‘Ž(𝑀𝑀)οΏ½ ≀ 𝛼𝛼(πœ”πœ”)οΏ½

𝑑𝑑�π‘₯π‘₯,𝑆𝑆(πœ”πœ”,π‘₯π‘₯),π‘Žπ‘Ž(𝑀𝑀)�𝑑𝑑�𝑦𝑦,𝑇𝑇(πœ”πœ”,𝑦𝑦),π‘Žπ‘Ž(𝑀𝑀)�𝑑𝑑�π‘₯π‘₯,𝑇𝑇(πœ”πœ”,𝑦𝑦),π‘Žπ‘Ž(𝑀𝑀)οΏ½ +𝑑𝑑(π‘₯π‘₯(πœ”πœ”),𝑦𝑦(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀))𝑑𝑑(𝑦𝑦,𝑆𝑆(πœ”πœ”,π‘₯π‘₯),π‘Žπ‘Ž(𝑀𝑀)),𝑑𝑑(π‘₯π‘₯,𝑇𝑇(πœ”πœ”,𝑦𝑦),π‘Žπ‘Ž(𝑀𝑀))

1+𝑑𝑑(𝑦𝑦(πœ”πœ”),𝑆𝑆(πœ”πœ”,π‘₯π‘₯),π‘Žπ‘Ž(𝑀𝑀))𝑑𝑑(𝑦𝑦(πœ”πœ”),𝑇𝑇(πœ”πœ”,𝑦𝑦),π‘Žπ‘Ž(𝑀𝑀)) οΏ½

+ 𝛽𝛽(πœ”πœ”)π‘šπ‘šπ‘Žπ‘Žπ‘₯π‘₯[ 𝑑𝑑(π‘₯π‘₯,𝑆𝑆(πœ”πœ”,π‘₯π‘₯),π‘Žπ‘Ž(𝑀𝑀)),𝑑𝑑(𝑦𝑦,𝑇𝑇(πœ”πœ”,𝑦𝑦),π‘Žπ‘Ž(𝑀𝑀)),𝑑𝑑(𝑦𝑦,𝑆𝑆(πœ”πœ”,π‘₯π‘₯),π‘Žπ‘Ž(𝑀𝑀)),𝑑𝑑(π‘₯π‘₯,𝑇𝑇(πœ”πœ”,𝑦𝑦),π‘Žπ‘Ž(𝑀𝑀)),𝑑𝑑(π‘₯π‘₯(πœ”πœ”),𝑦𝑦(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀))]

For each π‘₯π‘₯,𝑦𝑦 ∈ 𝑋𝑋 ,πœ”πœ” ∈ 𝛺𝛺 and 𝛼𝛼,𝛽𝛽,𝛾𝛾,𝛿𝛿 ∈ 𝑅𝑅+ with 0 ≀ 𝛼𝛼(πœ”πœ”) + 2𝛽𝛽(πœ”πœ”) + 2𝛾𝛾(πœ”πœ”) +𝛿𝛿(πœ”πœ”) < 1, and 1βˆ’ 𝛼𝛼(πœ”πœ”)βˆ’ 𝛽𝛽(πœ”πœ”)β‰ 0,π‘Žπ‘Ž(𝑀𝑀) > 0 there exists a common random fixed point of S and T.

(β„Žπ‘’π‘’π‘›π‘›π‘’π‘’π‘’π‘’π»π»π‘“π‘“π‘’π‘’π‘π‘π‘“π‘“π‘’π‘’π‘Ÿπ‘Ÿπ‘’π‘’π‘›π‘›π‘Ÿπ‘Ÿπ‘Ÿπ‘Ÿπ‘Ÿπ‘Ÿβ„Žπ‘’π‘’π»π»π‘Žπ‘Žπ»π»π‘Ÿπ‘Ÿπ‘‘π‘‘π‘“π‘“π‘“π‘“π‘“π‘“π‘“π‘“2βˆ’ π‘šπ‘šπ‘’π‘’π‘Ÿπ‘Ÿπ‘“π‘“π‘šπ‘šπ‘’π‘’π‘“π‘“π‘›π‘›πΆπΆπΆπΆ(𝑋𝑋) π‘šπ‘šπ‘›π‘›π‘‘π‘‘π»π»π‘’π‘’π‘’π‘’π‘‘π‘‘π‘π‘π‘¦π‘¦π‘Ÿπ‘Ÿβ„Žπ‘’π‘’ 2βˆ’ π‘šπ‘šπ‘’π‘’π‘Ÿπ‘Ÿπ‘“π‘“π‘šπ‘šπ‘’π‘’π‘‘π‘‘)

Proof: Let πœ‰πœ‰0∢ 𝛺𝛺 β†’ 𝑋𝑋 be an arbitrary measurable mapping and choose a measurable mapping πœ‰πœ‰1∢ 𝛺𝛺 β†’ 𝑋𝑋 such that

πœ‰πœ‰1(πœ”πœ”)∈ 𝑆𝑆(πœ”πœ”,πœ‰πœ‰0(πœ”πœ”)) for each πœ”πœ” ∈ 𝛺𝛺. then for eachπœ”πœ” ∈ 𝛺𝛺.

π»π»οΏ½π‘†π‘†οΏ½πœ”πœ”,πœ‰πœ‰0(πœ”πœ”)οΏ½,π‘‡π‘‡οΏ½πœ”πœ”,πœ‰πœ‰1(πœ”πœ”)οΏ½,π‘Žπ‘Ž(𝑀𝑀)οΏ½ ≀ 𝛼𝛼(πœ”πœ”) οΏ½

π‘‘π‘‘οΏ½πœ‰πœ‰0(πœ”πœ”),π‘†π‘†οΏ½πœ”πœ”,πœ‰πœ‰0(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀)οΏ½,π‘Žπ‘Ž(𝑀𝑀)οΏ½π‘‘π‘‘οΏ½πœ‰πœ‰1(πœ”πœ”),π‘‡π‘‡οΏ½πœ”πœ”,πœ‰πœ‰1(πœ”πœ”)οΏ½,π‘Žπ‘Ž(𝑀𝑀)οΏ½π‘‘π‘‘οΏ½πœ‰πœ‰0(πœ”πœ”),π‘‡π‘‡οΏ½πœ”πœ”,πœ‰πœ‰1(πœ”πœ”)οΏ½,π‘Žπ‘Ž(𝑀𝑀)οΏ½

+𝑑𝑑(πœ‰πœ‰0(πœ”πœ”),πœ‰πœ‰1(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀))π‘‘π‘‘οΏ½πœ‰πœ‰1(πœ”πœ”),π‘†π‘†οΏ½πœ”πœ”,πœ‰πœ‰0(πœ”πœ”)οΏ½,π‘Žπ‘Ž(𝑀𝑀)οΏ½,π‘‘π‘‘οΏ½πœ‰πœ‰0(πœ”πœ”),π‘‡π‘‡οΏ½πœ”πœ”,πœ‰πœ‰1(πœ”πœ”)οΏ½,π‘Žπ‘Ž(𝑀𝑀)οΏ½

1+π‘‘π‘‘οΏ½πœ‰πœ‰0(πœ”πœ”),𝑆𝑆(πœ”πœ”,πœ‰πœ‰0(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀))οΏ½π‘‘π‘‘οΏ½πœ‰πœ‰1(πœ”πœ”),π‘‡π‘‡οΏ½πœ”πœ”,πœ‰πœ‰1(πœ”πœ”)οΏ½,π‘Žπ‘Ž(𝑀𝑀)οΏ½ οΏ½

+ 𝛽𝛽(πœ”πœ”)π‘šπ‘šπ‘Žπ‘Žπ‘₯π‘₯ οΏ½ π‘‘π‘‘οΏ½πœ‰πœ‰0(πœ”πœ”),π‘†π‘†οΏ½πœ”πœ”,πœ‰πœ‰0(πœ”πœ”)οΏ½,π‘Žπ‘Ž(𝑀𝑀)οΏ½,π‘‘π‘‘οΏ½πœ‰πœ‰1(πœ”πœ”),π‘‡π‘‡οΏ½πœ”πœ”,πœ‰πœ‰1(πœ”πœ”)οΏ½,π‘Žπ‘Ž(𝑀𝑀)οΏ½

,π‘‘π‘‘οΏ½πœ‰πœ‰1(πœ”πœ”),π‘†π‘†οΏ½πœ”πœ”,πœ‰πœ‰0(πœ”πœ”)οΏ½,π‘Žπ‘Ž(𝑀𝑀)οΏ½,π‘‘π‘‘οΏ½πœ‰πœ‰0(πœ”πœ”),π‘‡π‘‡οΏ½πœ”πœ”,πœ‰πœ‰1(πœ”πœ”)οΏ½,π‘Žπ‘Ž(𝑀𝑀)οΏ½,𝑑𝑑(πœ‰πœ‰0(πœ”πœ”),πœ‰πœ‰1(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀))οΏ½

Further there exists a measurable mapping πœ‰πœ‰2∢ 𝛺𝛺 β†’ 𝑋𝑋 such that for all πœ”πœ” ∈ 𝛺𝛺,πœ‰πœ‰2(πœ”πœ”)∈ 𝑇𝑇(πœ”πœ”,πœ‰πœ‰1(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀)) and

𝑑𝑑(πœ‰πœ‰1(πœ”πœ”),πœ‰πœ‰2(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀))≀𝛼𝛼(πœ”πœ”) οΏ½

π‘‘π‘‘οΏ½πœ‰πœ‰0(πœ”πœ”),πœ‰πœ‰1(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀)οΏ½π‘‘π‘‘οΏ½πœ‰πœ‰1(πœ”πœ”),πœ‰πœ‰2(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀)οΏ½π‘‘π‘‘οΏ½πœ‰πœ‰0(πœ”πœ”),πœ‰πœ‰2(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀)οΏ½ +𝑑𝑑(πœ‰πœ‰0(πœ”πœ”),πœ‰πœ‰1(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀))𝑑𝑑(πœ‰πœ‰1(πœ”πœ”),πœ‰πœ‰1(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀)),𝑑𝑑(πœ‰πœ‰0(πœ”πœ”),πœ‰πœ‰2(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀))

1+𝑑𝑑(πœ‰πœ‰0(πœ”πœ”),πœ‰πœ‰1(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀))𝑑𝑑(πœ‰πœ‰1(πœ”πœ”),πœ‰πœ‰2(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀)) οΏ½

+ 𝛽𝛽(πœ”πœ”)π‘šπ‘šπ‘Žπ‘Žπ‘₯π‘₯ οΏ½ 𝑑𝑑(πœ‰πœ‰0(πœ”πœ”),πœ‰πœ‰1(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀)),𝑑𝑑(πœ‰πœ‰1(πœ”πœ”),πœ‰πœ‰2(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀)),

𝑑𝑑(πœ‰πœ‰1(πœ”πœ”),πœ‰πœ‰1(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀)),𝑑𝑑(πœ‰πœ‰0(πœ”πœ”),πœ‰πœ‰2(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀)) ,𝑑𝑑(πœ‰πœ‰0(πœ”πœ”),πœ‰πœ‰1(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀))οΏ½

𝑑𝑑(πœ‰πœ‰1(πœ”πœ”),πœ‰πœ‰2(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀))≀1βˆ’π›Όπ›Ό(π›Όπ›Όπœ”πœ”()+ πœ”πœ”)βˆ’π›½π›½π›½π›½(πœ”πœ”(πœ”πœ”))𝑑𝑑(πœ‰πœ‰0(πœ”πœ”),πœ‰πœ‰1(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀))

Let π‘˜π‘˜= 𝛼𝛼(πœ”πœ”)+ 𝛽𝛽(πœ”πœ”)

1βˆ’π›Όπ›Ό(πœ”πœ”)βˆ’π›½π›½(πœ”πœ”)

This gives

𝑑𝑑(πœ‰πœ‰1(πœ”πœ”),πœ‰πœ‰2(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀))≀ π‘˜π‘˜π‘‘π‘‘(πœ‰πœ‰0(πœ”πœ”),πœ‰πœ‰1(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀))

By Beg and Shahzad [2,π‘Žπ‘Žπ‘’π‘’π‘šπ‘šπ‘šπ‘šπ‘Žπ‘Ž 2.3],we obtain a measurable mapping πœ‰πœ‰3∢ 𝛺𝛺 β†’ 𝑋𝑋 such that for all πœ”πœ” ∈ 𝛺𝛺,

πœ‰πœ‰3(πœ”πœ”)∈ 𝑆𝑆(πœ”πœ”,πœ‰πœ‰2(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀)) and

𝑑𝑑(πœ‰πœ‰2(πœ”πœ”),πœ‰πœ‰3(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀))≀ 𝑑𝑑(πœ‰πœ‰1(πœ”πœ”),πœ‰πœ‰2(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀))≀𝛼𝛼(πœ”πœ”) οΏ½

π‘‘π‘‘οΏ½πœ‰πœ‰1(πœ”πœ”),πœ‰πœ‰2(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀)οΏ½π‘‘π‘‘οΏ½πœ‰πœ‰2(πœ”πœ”),πœ‰πœ‰3(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀)οΏ½π‘‘π‘‘οΏ½πœ‰πœ‰1(πœ”πœ”),πœ‰πœ‰3(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀)οΏ½

+𝑑𝑑(πœ‰πœ‰1(πœ”πœ”),πœ‰πœ‰2(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀))𝑑𝑑(πœ‰πœ‰2(πœ”πœ”),πœ‰πœ‰2(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀)),𝑑𝑑(πœ‰πœ‰1(πœ”πœ”),πœ‰πœ‰3(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀))

1+π‘‘π‘‘οΏ½πœ‰πœ‰1(πœ”πœ”),πœ‰πœ‰2(πœ”πœ”)�𝑑𝑑(πœ‰πœ‰2(πœ”πœ”),πœ‰πœ‰3(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀)) οΏ½

+ 𝛽𝛽(πœ”πœ”)π‘šπ‘šπ‘Žπ‘Žπ‘₯π‘₯ οΏ½ 𝑑𝑑(πœ‰πœ‰1(πœ”πœ”),πœ‰πœ‰2(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀)),𝑑𝑑(πœ‰πœ‰2(πœ”πœ”),πœ‰πœ‰3(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀)) ,

𝑑𝑑(πœ‰πœ‰2(πœ”πœ”),πœ‰πœ‰2(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀)),𝑑𝑑(πœ‰πœ‰1(πœ”πœ”),πœ‰πœ‰3(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀)),𝑑𝑑(πœ‰πœ‰1(πœ”πœ”),πœ‰πœ‰2(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀))οΏ½

𝑑𝑑(πœ‰πœ‰2(πœ”πœ”),πœ‰πœ‰3(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀))≀ π‘˜π‘˜π‘‘π‘‘(πœ‰πœ‰1(πœ”πœ”),πœ‰πœ‰2(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀))≀ π‘˜π‘˜2𝑑𝑑(πœ‰πœ‰0(πœ”πœ”),πœ‰πœ‰1(Ο‰),π‘Žπ‘Ž(𝑀𝑀))

Similarly, proceeding the same way, by induction, we get a sequence of measurable mapping πœ‰πœ‰π‘›π‘›:𝛺𝛺 β†’ 𝑋𝑋 suct that for

(6)

πœ‰πœ‰2𝑛𝑛+1(πœ”πœ”)∈ 𝑆𝑆(πœ”πœ”,πœ‰πœ‰ 2𝑛𝑛(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀)) , and πœ‰πœ‰2𝑛𝑛+2(πœ”πœ”)∈ 𝑇𝑇(πœ”πœ”,πœ‰πœ‰ 2𝑛𝑛+1(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀))

This gives,

𝑑𝑑(πœ‰πœ‰π‘›π‘›(πœ”πœ”),πœ‰πœ‰π‘›π‘›+1(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀))≀ π‘˜π‘˜π‘‘π‘‘(πœ‰πœ‰π‘›π‘›βˆ’1(πœ”πœ”),πœ‰πœ‰π‘›π‘›(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀))≀ ⋯…≀ π‘˜π‘˜π‘›π‘›π‘‘π‘‘(πœ‰πœ‰0(πœ”πœ”),πœ‰πœ‰1(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀))

For any π‘šπ‘š,𝑛𝑛 ∈ π‘π‘π‘Ÿπ‘Ÿπ»π»π‘’π‘’β„Žπ‘Ÿπ‘Ÿβ„Žπ‘Žπ‘Žπ‘Ÿπ‘Ÿ π‘šπ‘š>𝑛𝑛, also by using triangular inequality we have

𝑑𝑑(πœ‰πœ‰π‘›π‘›(πœ”πœ”),πœ‰πœ‰π‘šπ‘š(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀))≀ π‘˜π‘˜

𝑛𝑛

1βˆ’π‘˜π‘˜π‘‘π‘‘(πœ‰πœ‰0(πœ”πœ”),πœ‰πœ‰1(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀))

Which tends to zero as 𝑛𝑛 β†’βˆž. It follows that {πœ‰πœ‰π‘›π‘›(πœ”πœ”)} is a Cauchy sequence and there exists a measurable mapping

πœ‰πœ‰ ∢ 𝛺𝛺 β†’ 𝑋𝑋 such that πœ‰πœ‰π‘›π‘›(πœ”πœ”)β†’ πœ‰πœ‰(πœ”πœ”) for eachπœ”πœ” ∈ 𝛺𝛺. It implies thatπœ‰πœ‰2𝑛𝑛+1(πœ”πœ”)β†’ πœ‰πœ‰(πœ”πœ”).

Thus we have for any πœ”πœ” ∈ 𝛺𝛺,

π‘‘π‘‘οΏ½πœ‰πœ‰(πœ”πœ”),π‘†π‘†οΏ½πœ”πœ”,πœ‰πœ‰(πœ”πœ”)οΏ½,π‘Žπ‘Ž(𝑀𝑀)οΏ½ ≀ 𝑑𝑑(πœ‰πœ‰(πœ”πœ”),πœ‰πœ‰2𝑛𝑛+2(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀)) + π‘‘π‘‘οΏ½πœ‰πœ‰(πœ”πœ”),π‘†π‘†οΏ½πœ”πœ”,πœ‰πœ‰2𝑛𝑛+2(πœ”πœ”)οΏ½,π‘Žπ‘Ž(𝑀𝑀)οΏ½

π‘‘π‘‘οΏ½πœ‰πœ‰(πœ”πœ”),π‘†π‘†οΏ½πœ”πœ”,πœ‰πœ‰(πœ”πœ”)οΏ½,π‘Žπ‘Ž(𝑀𝑀)οΏ½ ≀ 𝑑𝑑(πœ‰πœ‰(πœ”πœ”),πœ‰πœ‰2𝑛𝑛+2(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀)) + π»π»οΏ½π‘‡π‘‡οΏ½πœ”πœ”,πœ‰πœ‰2𝑛𝑛+1(πœ”πœ”)οΏ½,π‘†π‘†οΏ½πœ”πœ”,πœ‰πœ‰2𝑛𝑛+2(πœ”πœ”)οΏ½,π‘Žπ‘Ž(𝑀𝑀)οΏ½

Therefore,

𝑑𝑑 οΏ½πœ‰πœ‰(πœ”πœ”),π‘†π‘†οΏ½πœ”πœ”,πœ‰πœ‰(πœ”πœ”)οΏ½,π‘Žπ‘Ž(𝑀𝑀)οΏ½ ≀ π‘‘π‘‘οΏ½πœ‰πœ‰(Ο‰),πœ‰πœ‰2𝑛𝑛+2(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀)οΏ½

+ 𝛼𝛼(πœ”πœ”)οΏ½

π‘‘π‘‘οΏ½πœ‰πœ‰2𝑛𝑛+2(πœ”πœ”),π‘†π‘†οΏ½πœ”πœ”,πœ‰πœ‰2𝑛𝑛+2(πœ”πœ”)οΏ½,π‘Žπ‘Ž(𝑀𝑀)οΏ½π‘‘π‘‘οΏ½πœ‰πœ‰2𝑛𝑛+1(πœ”πœ”),π‘‡π‘‡οΏ½πœ”πœ”,πœ‰πœ‰2𝑛𝑛+1(πœ”πœ”)οΏ½,π‘Žπ‘Ž(𝑀𝑀)οΏ½π‘‘π‘‘οΏ½πœ‰πœ‰2𝑛𝑛+2(πœ”πœ”),π‘‡π‘‡οΏ½πœ”πœ”,πœ‰πœ‰2𝑛𝑛+1(πœ”πœ”)οΏ½,π‘Žπ‘Ž(𝑀𝑀)οΏ½ +𝑑𝑑(πœ‰πœ‰2𝑛𝑛+2(πœ”πœ”),πœ‰πœ‰2𝑛𝑛+1(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀))π‘‘π‘‘οΏ½πœ‰πœ‰2𝑛𝑛+1(πœ”πœ”),π‘†π‘†οΏ½πœ”πœ”,πœ‰πœ‰2𝑛𝑛+2(πœ”πœ”)οΏ½,π‘Žπ‘Ž(𝑀𝑀)οΏ½,𝑑𝑑(πœ‰πœ‰2𝑛𝑛+2(πœ”πœ”),𝑇𝑇(πœ”πœ”,𝑦𝑦),π‘Žπ‘Ž(𝑀𝑀))

1+π‘‘π‘‘οΏ½πœ‰πœ‰2𝑛𝑛+1(πœ”πœ”),π‘†π‘†οΏ½πœ”πœ”,πœ‰πœ‰2𝑛𝑛+2(πœ”πœ”)οΏ½,π‘Žπ‘Ž(𝑀𝑀)οΏ½π‘‘π‘‘οΏ½πœ‰πœ‰2𝑛𝑛+1(πœ”πœ”),π‘‡π‘‡οΏ½πœ”πœ”,πœ‰πœ‰2𝑛𝑛+1(πœ”πœ”)οΏ½,π‘Žπ‘Ž(𝑀𝑀)οΏ½ οΏ½

+ 𝛽𝛽(πœ”πœ”)π‘šπ‘šπ‘Žπ‘Žπ‘₯π‘₯ οΏ½

π‘‘π‘‘οΏ½πœ‰πœ‰2𝑛𝑛+2(πœ”πœ”),π‘†π‘†οΏ½πœ”πœ”,πœ‰πœ‰2𝑛𝑛+2(πœ”πœ”)οΏ½,π‘Žπ‘Ž(𝑀𝑀)οΏ½,π‘‘π‘‘οΏ½πœ‰πœ‰2𝑛𝑛+1(πœ”πœ”),π‘‡π‘‡οΏ½πœ”πœ”,πœ‰πœ‰2𝑛𝑛+1(πœ”πœ”)οΏ½,π‘Žπ‘Ž(𝑀𝑀)οΏ½,

π‘‘π‘‘οΏ½πœ‰πœ‰2𝑛𝑛+1(πœ”πœ”),π‘†π‘†οΏ½πœ”πœ”,πœ‰πœ‰2𝑛𝑛+2(πœ”πœ”)οΏ½,π‘Žπ‘Ž(𝑀𝑀)οΏ½,π‘‘π‘‘οΏ½πœ‰πœ‰2𝑛𝑛+2(πœ”πœ”),π‘‡π‘‡οΏ½πœ”πœ”,πœ‰πœ‰2𝑛𝑛+1(πœ”πœ”)οΏ½,π‘Žπ‘Ž(𝑀𝑀)οΏ½,

𝑑𝑑(πœ‰πœ‰2𝑛𝑛+2(πœ”πœ”),πœ‰πœ‰2𝑛𝑛+1(πœ”πœ”)),π‘Žπ‘Ž(𝑀𝑀))

οΏ½

Taking as𝑛𝑛 β†’βˆž, we have

π‘‘π‘‘οΏ½πœ‰πœ‰(πœ”πœ”),π‘†π‘†οΏ½πœ”πœ”,πœ‰πœ‰(πœ”πœ”)οΏ½,π‘Žπ‘Ž(𝑀𝑀)οΏ½ ≀(𝛼𝛼(πœ”πœ”) + 𝛽𝛽(πœ”πœ”) ) π‘‘π‘‘οΏ½πœ‰πœ‰(πœ”πœ”),π‘†π‘†οΏ½πœ”πœ”,πœ‰πœ‰(πœ”πœ”)οΏ½,π‘Žπ‘Ž(𝑀𝑀)οΏ½

Which contradiction, hence

πœ‰πœ‰(πœ”πœ”) =𝑆𝑆(πœ”πœ”,πœ‰πœ‰(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀) ) for al lπœ”πœ” ∈ 𝛺𝛺.

Similarly, for anyπœ”πœ” ∈ 𝛺𝛺,

π‘‘π‘‘οΏ½πœ‰πœ‰(πœ”πœ”),π‘†π‘†οΏ½πœ”πœ”,πœ‰πœ‰(πœ”πœ”)οΏ½,π‘Žπ‘Ž(𝑀𝑀)οΏ½ ≀ 𝑑𝑑(πœ‰πœ‰(πœ”πœ”),πœ‰πœ‰2𝑛𝑛+1(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀)) + π»π»οΏ½π‘†π‘†οΏ½πœ”πœ”,πœ‰πœ‰2𝑛𝑛(πœ”πœ”)οΏ½,π‘‡π‘‡οΏ½πœ”πœ”,πœ‰πœ‰2𝑛𝑛+1(πœ”πœ”)οΏ½,π‘Žπ‘Ž(𝑀𝑀)οΏ½

Hence πœ‰πœ‰(πœ”πœ”) =𝑇𝑇(πœ”πœ”,πœ‰πœ‰(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀) ) π‘“π‘“π‘“π‘“π‘“π‘“π‘Žπ‘Žπ‘Žπ‘Žπ‘Žπ‘Žπœ”πœ” ∈ 𝛺𝛺.

It is easy to see that, πœ‰πœ‰(πœ”πœ”) is common fixed point for π‘†π‘†π‘Žπ‘Žπ‘›π‘›π‘‘π‘‘π‘‡π‘‡ in X.

Uniqueness: Let us assume that, πœ‰πœ‰βˆ—(πœ”πœ”) is another fixed point of S and T in X, different fromπœ‰πœ‰(πœ”πœ”), then we have

𝑑𝑑(πœ‰πœ‰(πœ”πœ”),πœ‰πœ‰βˆ—(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀))≀ π‘‘π‘‘οΏ½πœ‰πœ‰(πœ”πœ”),π‘†π‘†οΏ½πœ”πœ”,πœ‰πœ‰

2𝑛𝑛(πœ”πœ”)οΏ½,π‘Žπ‘Ž(𝑀𝑀)οΏ½+𝐻𝐻�𝑆𝑆(πœ”πœ”,πœ‰πœ‰2𝑛𝑛(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀)),π‘‡π‘‡οΏ½πœ”πœ”,πœ‰πœ‰2𝑛𝑛+1(πœ”πœ”)οΏ½,π‘Žπ‘Ž(𝑀𝑀)οΏ½

+ π‘‘π‘‘οΏ½π‘‡π‘‡οΏ½πœ”πœ”,πœ‰πœ‰2𝑛𝑛+1(πœ”πœ”)οΏ½,πœ‰πœ‰βˆ—(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀)οΏ½

By using 3.1(π‘Žπ‘Ž) and 𝑛𝑛 β†’βˆž we have,

𝑑𝑑(πœ‰πœ‰(πœ”πœ”),πœ‰πœ‰βˆ—(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀))≀0

Which contradiction,

So we have, πœ‰πœ‰(πœ”πœ”) is unique common fixed point of S and T in X.

(7)

𝐻𝐻(𝑆𝑆𝑝𝑝(πœ”πœ”,π‘₯π‘₯),π‘‡π‘‡π‘žπ‘ž(πœ”πœ”,𝑦𝑦),π‘Žπ‘Ž(𝑀𝑀))≀ 𝛼𝛼(πœ”πœ”)οΏ½

𝑑𝑑�π‘₯π‘₯,𝑆𝑆𝑝𝑝 (πœ”πœ”,π‘₯π‘₯),π‘Žπ‘Ž(𝑀𝑀)�𝑑𝑑�𝑦𝑦,π‘‡π‘‡π‘žπ‘ž(πœ”πœ”,𝑦𝑦),π‘Žπ‘Ž(𝑀𝑀)�𝑑𝑑�π‘₯π‘₯,π‘‡π‘‡π‘žπ‘ž(πœ”πœ”,𝑦𝑦),π‘Žπ‘Ž(w)οΏ½

+𝑑𝑑(π‘₯π‘₯(πœ”πœ”),𝑦𝑦(πœ”πœ”),π‘Žπ‘Ž(𝑀𝑀))𝑑𝑑(𝑦𝑦,𝑆𝑆𝑝𝑝(πœ”πœ”,π‘₯π‘₯),π‘Žπ‘Ž(𝑀𝑀)),𝑑𝑑(π‘₯π‘₯,π‘‡π‘‡π‘žπ‘ž(πœ”πœ”,𝑦𝑦),π‘Žπ‘Ž(𝑀𝑀)) 1+𝑑𝑑�𝑦𝑦(πœ”πœ”),𝑆𝑆𝑝𝑝 (πœ”πœ”,π‘₯π‘₯)�𝑑𝑑�𝑦𝑦(πœ”πœ”),π‘‡π‘‡π‘žπ‘ž(πœ”πœ”,𝑦𝑦)οΏ½ οΏ½

+ 𝛽𝛽(πœ”πœ”)π‘šπ‘šπ‘Žπ‘Žπ‘₯π‘₯ οΏ½

𝑑𝑑(π‘₯π‘₯,𝑆𝑆𝑝𝑝(πœ”πœ”,π‘₯π‘₯),π‘Žπ‘Ž(𝑀𝑀)),𝑑𝑑(𝑦𝑦,π‘‡π‘‡π‘žπ‘ž(πœ”πœ”,𝑦𝑦),π‘Žπ‘Ž(𝑀𝑀)), 𝑑𝑑(𝑦𝑦,𝑆𝑆p(Ο‰, x), a(w)), d(x, Tq(Ο‰, y), a(w)),

d(x(Ο‰), y(Ο‰), a(w)) οΏ½

3.2(a)

For each x, y∈X ,Ο‰βˆˆΞ© and Ξ±,Ξ²,Ξ³,δ∈R+ with 0 ≀ Ξ±(Ο‰) +Ξ²(Ο‰) < 1, and 1βˆ’ Ξ±(Ο‰)βˆ’Ξ²(Ο‰)β‰ 0 , p, q > 1 there exists a common random fixed point of S and T.

(hence H represents the Hausdroff metric on CB(X) induced by the metric d)

Proof: From the theorem 3.1 and on taking p = q = 1 it is immediate to see that, the corollary is true. If not then we choose a ΞΎ0βˆΆΞ©β†’X be an arbitrary measurable mapping and choose a measurable mapping ΞΎ1βˆΆΞ©β†’X such that

ΞΎ1(Ο‰)∈S(Ο‰,ΞΎ0(Ο‰)) for each Ο‰βˆˆΞ©. then for eachΟ‰βˆˆΞ©, and by using 3.2(a) the result is follows.

REFERENCES

[1] Beg I. and Azam A., J. Austral. Math. Soc. Ser. A. 53 (1992) 313- 326.

[2] Beg I. and Shahzad N., Nonlinear Anal. 20 (1993) 835-347.

[3] Beg I. and Shahzad N., J. Appl. Math. And Stoch. Analysis 6 (1993) 95- 106.

[4] Bharucha – Reid A.T. , β€œ Random Integral Equations,” Academic Press, New York, 1972.

[5] Hans O., Reduzierede, Czech Math, J. 7 (1957) 154- 158.

[6] Hans O., Random Operator Equations, Proc. 4th Berkeley Symp. Math. Statist. Probability (1960), Vol. II, (1961) 180- 202.

[7] Heardy G. E. and Rogers T.D. , Canad. Math. Bull., 16 (1973) 201-206.

[8] Itoh. S., Pacific J. Math. 68 (1977) 85-90.

[9] Kanan R., Bull. Callcutta Math. Soc. 60(1968) 71-76.

[10] Kuratowski K. and Ryll-Nardzewski C., Bull. Acad. Polo. Sci. Ser. Sci. Math Astronom. Phys. 13 (1965) 397-403.

[11] Lin. T.C. Proc. Amer. Math. Soc. 103(1988)1129-1135.

[12] Papageorgiou N.S., Proc. Amer. Math. Soc. 97(1986)507-514.

[13] Rohades B.E. , Sessa S. Khan M.S. and Swaleh M. , J. Austral. Math. Soc. (Ser.A) 43(1987)328-346.

[14] Seghal V.M., and Singh S.P., Proc. Amer. Math. Soc. 95(1985)91-94.

[15] Spacek A., Zufallige Gleichungen, Czechoslovak Math. J. 5(1955) 462-466.

[16] Sharma. P.L., Sharma. B.K. and Iseki, K. β€œContractive type mapping on 2-metric spaces” Math. Japonica 21 (1976) 67-70.

[17] Wong C.S. , Paci. J. Math. 48(1973)299-312.

[18] Tan. K.K., Xu, H.K. , On Fixed Point Theorems of non-expansive mappings in product spaces, Proc. Amer. Math. Soc. 113(1991), 983-989.

References

Related documents

Therefore, the purpose of the current study was to evaluate the efficacy of three months of physiotherapy carried out in a NH facility and to evaluate the impact of

Protein im- port occurs through a complex protein targeting system that mediates the transport of preproteins across the plastid outer and inner envelope membranes and serves as

Mycobacterium tuberculosis strains isolated from 122 patients (85.9Β %) were found to be susceptible to all four first-line drugs tested, the remaining 20 strains (14.1Β %)

The broad spectrum of activity dem- onstrated by ceftobiprole in vitro and in vivo suggests that it may have potential for empirical treatment of possible Gram-negative

Changes to facilitate these improvements were (1) switching to a PC/104-based computer running the National Center for At- mospheric Research (NCAR) In-Situ Data Acquisition Soft-

The CNN-based automated CBC assessment system developed includes new coating breakdown and cor- rosion assessment algorithms with higher accuracy to facilitate quantitative

Even when individuals living in rural locations want treatment, they may have few services and providers in their areas, and they may have less access than urban residents

Was measured the Benzoyl Peroxide and Benzoic Acid dosage determination and his kinetics, physical-chemical (pH, viscosity) and organoleptic aspects (color, odor