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Article

On ℋ-Simulation Functions and Fixed Point Results in the Setting of ωt-Distance Mappings with Application on Matrix Equations

1
Department of mathematics, School of Science, University of Jordan, Amman 11942, Jordan
2
Department of Mathematics and General Courses, Prince Sultan University, Riyadh 11586, Saudi Arabia
3
Department of Medical Research, China Medical University Hospital China Medical University, Taichung 40402, Taiwan
4
Department of M-Commerce and Multimedia Applications, Asia University, Taichung 41354, Taiwan
5
Department of Mathematics, Faculty of Science and Information Technology, Jadara University, Irbid 22110, Jordan
*
Author to whom correspondence should be addressed.
Current address: Department of Mathematics and general courses, Prince Sultan University, Riyadh, Saudi Arabia.
Mathematics 2020, 8(5), 837; https://doi.org/10.3390/math8050837
Submission received: 22 April 2020 / Revised: 16 May 2020 / Accepted: 19 May 2020 / Published: 21 May 2020

Abstract

:
The concepts of b-metric spaces and ω t -distance mappings play a key role in solving various kinds of equations through fixed point theory in mathematics and other science. In this article, we study some fixed point results through these concepts. We introduce a new kind of function namely, H -simulation function which is used in this manuscript together with the notion of ω t -distance mappings to furnish for new contractions. Many fixed point results are proved based on these new contractions as well as some examples are introduced. Moreover, we introduce an application on matrix equations to focus on the importance of our work.

1. Introduction

Let U be a non empty set and f : U U be a self mapping. A point u U is called a fixed point of f if f u = u . If d is a metric on U , then f is said to be contraction if there is η [ 0 , 1 ) such that d ( f u 1 , f u 2 ) η d ( u 1 , u 2 ) , for each u 1 , u 2 U .
The novelty of fixed point theory in distance spaces appeared in 1922 by Banach [1] and known later by Banach contraction principle which asserts that a contraction on a complete metric space has a unique fixed point. Subsequently, several generalizations for this result are investigated, either by modifying the contraction conditions or by changing the setting of the distance spaces, for example see [2,3,4,5,6,7,8,9,10,11,12,13,14].
One well known generalization of metric spaces is b-metric spaces which were introduced by Bakhtin [15] and improved and named by Czerwik [16]. Then, it is used to investigate many fixed point results in the literature. This generalization enriched the fixed point theory in various ways: theorems, applications and many results. On the other hand, some authors generalized the notion of b-metric spaces to some spaces such as extended b-metric spaces, extended quasi b-metric spaces and ω t -distance mappings which were introduced by Kamran et al. [17], Nurwahyu [18] and Hussain et al. [19], respectively. For a deeper knowledge concerning distance spaces and fixed point theory and functional analysis, we refer the reader to [20,21,22]
Henceforth, we consider the following notations: R the set of reals, N the set of naturals, C the set of complex numbers, M n ( C ) the set of all n × n matrices with complex entries and for a self mapping f : U U , F f the set of all fixed points of f in U .

2. Preliminary

The definition of b-metric spaces is given as following:
Definition 1.
[15] A function b : U × U [ 0 , + ) is said to be b-metric if there is s [ 1 , + ) such that b satisfies:
(b1) 
b ( u 1 , u 2 ) = 0 iff u 1 = u 2 ,
(b2) 
b ( u 1 , u 2 ) = b ( u 2 , u 1 ) , for all u 1 , u 2 U ,
(b3) 
b ( u 1 , u 2 ) s [ b ( u 1 , u 2 ) + b ( u 2 , u 3 ) ] , for all u 1 , u 2 , u 3 U .
The pair ( U , b , s ) is called a b-metric space.
The notion of ω t -distance mapping was introduced by Hussain et al. [19] in 2014 and given as following:
Definition 2.
[19] A function ω : U × U [ 0 , + ) is said to be an ω t -distance over a b-metric space ( U , b , s ) if ω satisfies:
1
ω ( u 1 , u 2 ) s [ ω ( u 1 , u 2 ) + ω ( u 2 , u 3 ) ] , for all u 1 , u 2 , u 3 U ,
2
ω ( . , u ) [ 0 , + ) is s-lower semi-continuous for all u U ,
3
for any ϵ > 0 , there is γ > 0 such that
ω ( u 1 , u 2 ) γ and ω ( u 1 , u 3 ) γ i m p l y b ( u 2 , u 3 ) ϵ .
From now on, ( U , b , s ) is referred to a b-metric space, and ω is referred to an ω t -distance mapping over ( U , b , s ) .
It is obviously that, every b-metric is an ω t -distance mapping.
Lemma 1.
[19] On ( U , b , s ) , suppose we have two sequences ( u n ) and ( v n ) in U . Let ( λ n ) and ( β n ) be sequences in [ 0 , + ) such that λ n 0 and β n 0 . Then:
1. 
If ω ( u n , u ) λ n and ω ( u n , v ) β n for all n N , then u = v .
2. 
If ω ( u n , v n ) λ n and ω ( u n , v ) β n for all n N , then b ( v n , v ) 0 .
3. 
If ω ( u n , u m ) λ n for all n , m N with m > n , then u n is a Cauchy sequence.
4. 
If ω ( u , u n ) λ n for all n N , then u n is a Cauchy sequence.
Definition 3.
[23] Let Φ denote the set of all functions ϕ : [ 1 , + ) [ 1 , + ) that satisfy:
  • ( Φ 1 ) ϕ is non decreasing and continuous on [ 1 , + ) ,
  • ( Φ 2 ) for all u > 1 , lim n + ϕ n ( u ) = 1 .
Remark 1.
[23] If ϕ Φ , then ϕ ( 1 ) = 1 and ϕ ( u ) < u for all u > 1 .
Definition 4.
[24] Let Θ * denotes the set of all functions θ * : ( 0 , + ) ( 1 , + ) that satisfies:
  • ( Θ 1 * ) θ is non decreasing and continuous on ( 0 , + ) ,
  • ( Θ 2 * ) for each sequence { u n } in ( 0 , + ) , lim n + θ * ( u n ) = 1 if and only if lim n + t n = 0 ,
  • ( Θ 3 * ) there exist α ( 0 , 1 ) and γ ( 0 , + ) such that lim υ 0 + θ * ( u ) 1 u α = γ .
In this manuscript, we consider the class Θ to be defined as following:
Definition 5.
Let Θ denote the set of all continuous functions θ : [ 0 , + ) [ 1 , + ) that satisfy:
  • ( Θ 1 ) θ is non decreasing on [ 0 , + ) ,
  • ( Θ 2 ) for each sequence { u n } in [ 0 , + ) , lim n + θ ( u n ) = 1 if and only if lim n + t n = 0 .
Remark 2.
If θ Θ , then θ 1 ( { 1 } ) = 0 .
In 2015, Khojasteh et al. [25] introduced the concept of simulation functions in which they used it to unify several fixed point results in the literature. Then, significant results in fixed point theory using simulation functions were obtained, for example see [26,27,28,29,30,31,32]
Definition 6.
[25] A function ζ * : [ 0 , + ) × [ 0 , + ) R is called a simulation function if it satisfies the following:
  • ( ζ 1 * ) ζ * ( 0 , 0 ) = 0 ,
  • ( ζ 2 * ) ζ * ( u 1 , u 2 ) < u 1 u 2 for all u 1 , u 2 > 0 ,
  • ( ζ 3 * ) If ( u n ) and ( u n ) are sequences in [ 0 , + ) such that lim n + u n = lim n + u n > 0 , then lim sup n + ζ * ( u n , u n ) < 0.
Seong-Hoon Cho [33] introduced the following class of functions, namely L -simulation functions and some new type of contractions by using L -simulation functions:
Definition 7.
A function ζ : [ 1 , + ) × [ 1 , + ) R is called L -simulation function if it satisfies the following:
  • ( ζ 1 ) ζ ( 1 , 1 ) = 1 ,
  • ( ζ 2 ) ζ ( u , u ) < u u ,
  • ( ζ 3 ) For each sequences ( u n ) , ( u n ) in ( 1 , + ) , with u n u n for all n N lim n + u n = lim n + u n > 1 implies lim sup n + ζ ( u n , u n ) < 1 .

3. Main Results

We begin our work with the definition of H -simulation functions and some examples on this notion. Then, we introduce the notion of ( ω t , θ , ϕ ) -contractions with respect to μ H to derive some results.
Definition 8.
A function μ : [ 1 , + ) × [ 1 , + ) R is called H -simulation if μ ( u , u ) u u for all u , u [ 1 , + ) .
We denote by H the set of all H -simulation functions.
Remark 3.
Let μ H . If ( u n ) , ( u n ) are sequences in [ 1 , + ) with 1 lim n + u n < lim n + u n , then lim sup n + μ ( u n , u n ) < 1 .
Now, we provide some examples on H -simulation functions.
Example 1.
The following functions belong to H :
1. 
μ 1 ( u 1 , u 2 ) = k u 2 r u 1 , k , r ( 0 , 1 ] ,
2. 
μ 2 ( u 1 , u 2 ) = min { u 1 , u 2 } max { u 1 , u 2 } ,
3. 
μ 3 ( u 1 , u 2 ) = u 2 u 1 + | ln ( u 2 u 1 ) | ,
4. 
μ 4 ( u 1 , u 2 ) = u 2 u 1 + u 2 ,
5. 
μ 5 ( u 1 , u 2 ) = u 2 2 1 + u 1 u 2 ,
6. 
Let f 1 , f 2 : ( 0 , + ) ( 0 , + ) be continuous functions such that f 1 ( r ) < r , and f 2 ( r ) r , for each r ( 0 , + ) . Define μ 6 ( u 1 , u 2 ) = f 1 ( u 2 ) f 2 ( u 1 ) .
Note: Every L -simulation function is H -simulation while the converse isn’t true in general as we can see in the following example.
Example 2.
Consider the function μ : [ 1 , + ) × [ 1 , + ) R which is defined as
μ ( u 1 , u 2 ) = 1 + ln u 2 u 1 .
Then μ H and μ L .
Clearly μ ( u 1 , u 2 ) u 2 u 1 for all u 1 , u 2 [ 1 , + ) and so, μ H .
To show that μ L , consider the sequences ( u n ) , ( u n ) in ( 1 , + ) such that u n = 2 n + 3 n + 1 , and u n = 2 n + 1 n . Then u n u n for all n N and lim n + u n = lim n + u n = 2 , while
lim sup n + ζ ( u n , u n ) = lim sup n + 1 + ln 2 n + 1 n 2 n + 3 n + 1
= 1 + ln lim sup n + 2 n 2 + 3 n + 1 2 n 2 + 3 n
= 1 .
Note: μ 2 , μ 3 , μ 4 , μ 5 and μ 6 described in Example 1 are not members of L .
Definition 9.
Suppose there is ω over ( U , b , s ) with s [ 1 , + ) . A self mapping
f : U U is said to be ( ω t , θ , ϕ ) -contraction with respect to μ if there exist θ Θ and ϕ Φ such that
μ ( θ ( s ω ( f u 1 , f u 2 ) ) , ϕ θ ω ( u 1 , u 2 ) ) 1 f o r a l l u 1 , u 2 U .
Lemma 2.
If f is ( ω t , θ , ϕ ) -contraction, then for all u 1 , u 2 U , we have the following:
1. 
ω ( u 1 , u 2 ) > 0 implies that ω ( f u 1 , f u 2 ) < 1 s ω ( u 1 , u 2 ) ,
2. 
ω ( u 1 , u 2 ) = 0 implies that ω ( f u 1 , f u 2 ) = 0 .
Proof. 
(1) Suppose ω ( u 1 , u 2 ) > 0 . Then Condition 1 implies that
1 μ ( θ ( s ω ( f u 1 , f u 2 ) , ϕ θ ω ( u 1 , u 2 ) )
ϕ θ ω ( u 1 , u 2 ) θ ( s ω ( f u 1 , f u 2 ) )
< θ ω ( u 1 , u 2 ) θ ( s ω ( f u 1 , f u 2 ) ) .
So θ ( s ω ( f u 1 , f u 2 ) ) < θ ω ( u 1 , u 2 ) . Since θ is non-decreasing, we have s ω ( f u 1 , f u 2 ) < ω ( u 1 , u 2 ) and so, we get the result.
(2) Suppose ω ( u 1 , u 2 ) = 0 . By Condition 1, we have
1 θ ( s ω ( f u 1 , f u 2 ) ) ϕ θ ω ( u 1 , u 2 ) = 1 .
Hence the result. □
Lemma 3.
Suppose there is ω over ( U , b , s ) with s [ 1 , + ) . Let f : U U be an ( ω , θ , ϕ ) -contraction with respect to μ H . Then F f contains at most one element.
Proof. 
Assume that there are u , v F f . First, we claim that ω ( u , v ) = 0 . If ω ( u , v ) > 0 , then Lemma 2 implies that
ω ( u , v ) = ω ( f u , f v ) < 1 s ω ( u , v ) .
a contradiction and so ω ( u , v ) = 0 . Similarly, we can get that ω ( u , u ) = 0 . b ( u , v ) = 0 and hence u = v . □
On U , let u 0 U and f : U U be a self mapping. Then we call the sequence ( u n ) , where u n = f u n 1 , n N the Picard sequence generated by f at u 0 .
Lemma 4.
Suppose there is ω over ( U , b , s ) with s [ 1 , + ) . Let f : U U be an ( ω , θ , ϕ ) -contraction with respect to μ H . Then
lim n + ω ( u n , u n + 1 ) = 0 a n d lim n + ω ( u n + 1 , u n ) = 0
for any initial point u 0 U , where ( u n ) is the Picard sequence generated by f at u 0 .
Proof. 
Let ( u n ) be the Picard sequence generated by f at u 0 . If there is M N such that ω ( u M , u M + 1 ) = 0, then by Lemma 2, we get that ω ( u n , u n + 1 ) = 0 for all n M .
Assume that ω ( u n , u n + 1 ) > 0 for all n N . By Lemma 2, we have
ω ( u n , u n + 1 ) < 1 s ω ( u n 1 , u n ) .
Thus ( ω ( u n , u n + 1 ) : n N ) is a non increasing sequence in [ 0 , + ) . There is c 0 0 such that lim n + ω ( u n , u n + 1 ) = c 0 . Suppose to the contrary; that is, c 0 > 0 . Let a n = θ s ω ( u n , u n + 1 ) and b n = ϕ θ ω ( u n 1 , u n ) . Then 1 lim n + b n < lim n + a n . By (1) and Remark 3, we have
1 lim sup n + ζ ( θ s ω ( u n , u n + 1 ) , ϕ θ ω ( u n 1 , u n ) ) < 1 ,
a contradiction. lim n + ω ( u n , u n + 1 ) = 0 . By the same way we can show that lim n + ω ( u n + 1 , u n ) = 0. □
Lemma 5.
Suppose there is ω over ( U , b , s ) with s [ 1 , + ) . Let f : U U be an ( ω , θ , ϕ ) -contraction with respect to μ H . If there is n 0 N with ω ( u n 0 , u n 0 + 1 ) = 0 , then u n 0 + 1 F f . In addition, if there is n 0 N with ω ( u n 0 + 1 , u n 0 ) = 0 , then u n 0 F f .
Proof. 
The proof follows from part (a) and part (c) of the definition of ω . □
Theorem 1.
Suppose ( U , b , s ) is complete with base s [ 1 , + ) . Suppose that there are θ Θ and ϕ Φ such that f : U U is an ( ω , θ , ϕ ) -contraction with respect to μ H such that:
If ν X with f ν ν , then inf { ω ( u , ν ) : u U } > 0 .
Then F f consists of only one element. Moreover, the sequence ( u n ) , where u n + 1 = f u n , n 0 converges for any u 0 U and lim n + u n F f .
Proof. 
Let u 0 U and consider the Picard sequence ( u n ) in U generated by f at u 0 . According to Lemma 5, if there exists n 0 N such that ω ( u n 0 , u n 0 + 1 ) = 0 or ω ( u n 0 + 1 , u n 0 ) = 0 , then u n 0 + 1 F f or u n 0 F f , respectively. Therefore, we may assume that for each n N , ω ( u n , u n + 1 ) 0 and ω ( u n + 1 , u n ) 0 . By Lemma 4, we have lim n + ω ( u n , u n + 1 ) = 0 and lim n + ω ( u n + 1 , u n ) = 0 . Now, we want to show that lim n , m + ω ( u n , u m ) = 0 , i.e. ( u n ) is a Cauchy sequence.
Assume the contrary; that is, lim n , m + ω ( u n , u m ) 0 . Thus there are ϵ > 0 and two sub-sequences ( u n k ) and ( u m k ) of ( u n ) such that ( m k ) is chosen as the smallest index for which
ω ( u n k , u m k ) ϵ , m k > n k > k .
This implies that
ω ( u n k , u m k 1 ) < ϵ .
Set δ k = ω ( u n K 1 , u m k ) . By Lemma 2, Equations (4) and (5) and ( ω 1 ) of the definition of ω , we get
ϵ ω ( u n k , u m k ) 1 s ω ( u n k 1 , u m k 1 )
[ ω ( u n k 1 , u m k ) + ω ( u m k , u m k 1 ) ] .
By taking the limit inferior as k + and taking into account Equation (2), we get
ϵ lim inf k + δ k .
In addition,
ω ( u n k 1 , u m k ) 1 s ω ( u n k 2 , u m k 1 )
[ ω ( u n k 2 , u n k ) + ω ( u n k , u m k 1 ) ]
< s [ ω ( u n k 2 , u n k 1 ) + ω ( u n k 1 , u n k ) ] + ϵ ] .
By taking the limit superior as k + and taking into account (2), we get
lim sup k + δ k ϵ .
By Equations (6) and (7), we get
lim k + δ k = ϵ .
Now, set γ k = ω ( u n k , u m k + 1 ) . By Lemma 2, we get
ω ( u n k , u m k + 1 ) 1 s ω ( u n k 1 , u m k ) .
By taking the limit superior to both sides, we get
lim sup k + γ k ϵ s .
On the other hand, we have
ϵ ω ( u n k , u m k ) s [ ω ( u n k , u m k + 1 ) + ω ( u m k + 1 , u m k ) ] .
By taking the limit inferior to both sides, we get
ϵ s lim inf k + γ k .
By Equations (9) and (10), we get
lim k + γ k = ϵ s .
By the properties of θ and ϕ , we get
ϕ ( θ ( ϵ ) ) < θ ( ϵ ) = θ ( s ϵ s ) .
Now, by letting a k = θ ( s γ k ) and b k = ϕ ( θ ( δ k ) ) , then lim k + a k > lim k + b k 1 . Remark 3 and Condition (1) yield that
1 lim sup k + μ ( a k , b k ) < 1 ,
which is a contradiction. Therefore lim n , m + ω ( u n , u m ) = 0 . Thus Lemma 1 implies that ( u n ) is Cauchy. There is ν U such that lim n + u n = ν .
Since lim n , m + ω ( u n , u m ) = 0 , then for any r > 0 there is k 0 N such that
ω ( u n , u m ) r for all m > n k 0 .
The lower semi-continuity of ω implies that
ω ( u n , ν ) lim inf p + ω ( u n , u p ) r for all m > n k 0 .
Suppose that f ν ν . Then we have
0 < inf { ω ( u , ν ) : u U }
inf { ω ( u n , ν ) : n k 0 }
r ,
for every r > 0 which is a contradiction. Therefore f ν = ν . The uniqueness of ν follows from Lemma 3. □
Corollary 1.
Suppose ( U , b , s ) is complete with base s [ 1 , + ) , and there is ω over ( U , b , s ) . Suppose that there are real numbers a > 1 and λ ( 0 , 1 ) such that f : U U satisfies the following condition:
If u 1 , u 2 U , then
a s ω ( f u 1 , f u 2 ) a λ ω ( u 1 , u 2 ) a λ ω ( u 1 , u 2 ) .
In addition, assume that if ν X and f ν ν , then
inf { ω ( u , ν ) : u U } > 0 .
Then F f consists of only one element.
Proof. 
Define μ : [ 1 , + ) × [ 1 , + ) R , θ : [ 0 , + ) [ 1 , + ) and ϕ : [ 1 , + ) [ 1 , + ) by μ ( u 1 , u 2 ) = u 2 2 1 + u 1 u 2 , θ ( u ) = a u and ϕ ( v ) = v λ , respectively. Then μ H , θ Θ and ϕ Φ . We now show that f is an ( ω t , θ , ϕ ) -contraction with respect to μ . From Condition (12), we have
a s ω ( f u 1 , f u 2 ) a λ ω ( u 1 , u 2 ) a λ ω ( u 1 , u 2 )
iff
a 2 λ ω ( u 1 , u 2 ) a s ω ( f u 1 , f u 2 ) + λ ω ( u 1 , u 2 ) 1
iff
( a λ ω ( u 1 , u 2 ) ) 2 1 + a s ω ( f u 1 , f u 2 ) a λ ω ( u 1 , u 2 )
iff
( a λ ω ( u 1 , u 2 ) ) 2 1 + a s ω ( f u 1 , f u 2 ) a λ ω ( u 1 , u 2 ) 1
iff
( ϕ θ ω ( u 1 , u 2 ) ) 2 1 + θ s ω ( f u 1 , f u 2 ) ϕ θ ω ( u 1 , u 2 ) 1
iff
μ ( θ s ω ( f u 1 , f u 2 ) , ϕ θ ω ( u 1 , u 2 ) ) 1 .
Hence the result follows from Theorem 1. □
Corollary 2.
Suppose ( U , b , s ) is complete with base s [ 1 , + ) , and there is ω over ( U , b , s ) . Suppose that there is a real number λ ( 0 , 1 ) such that f : U U satisfies the following condition:
If u 1 , u 2 U , then
λ ω ( u 1 , u 2 ) s ω ( f u 1 , f u 2 ) e λ ω ( u 1 , u 2 ) e s ω ( f u 1 , f u 2 ) .
In addition, suppose that if ν X if f ν ν , then
inf { ω ( u , ν ) : u U } > 0 .
Then F f consists of only one element.
Proof. 
Define μ : [ 1 , + ) × [ 1 , + ) R , θ : [ 0 , + ) [ 1 , + ) and ϕ : [ 1 , + ) [ 1 , + ) by μ ( u 1 , u 2 ) = u 2 u 1 + | ln ( u 2 u 1 ) | , θ ( u ) = e u and ϕ ( v ) = v λ , respectively. Then μ H , θ Θ and ϕ Φ . We now show that f is an ( ω t , θ , ϕ ) -contraction with respect to μ . From Condition (14), we have
λ ω ( u 1 , u 2 ) s ω ( f u 1 , f u 2 ) e λ ω ( u 1 , u 2 ) e s ω ( f u 1 , f u 2 )
iff
e λ ω ( u 1 , u 2 ) e s ω ( f u 1 , f u 2 ) + λ ω ( u 1 , u 2 ) s ω ( f u 1 , f u 2 )
iff
e λ ω ( u 1 , u 2 ) e s ω ( f u 1 , f u 2 ) + ln ( e λ ω ( u 1 , u 2 ) s ω ( f u 1 , f u 2 ) )
iff
e λ ω ( u 1 , u 2 ) e s ω ( f u 1 , f u 2 ) + ln e λ ω ( u 1 , u 2 ) e s ω ( f u 1 , f u 2 )
iff
ϕ θ ω ( u 1 , u 2 ) θ s ω ( f u 1 , f u 2 ) + ln ϕ θ ω ( u 1 , u 2 ) θ s ω ( f u 1 , f u 2 )
iff
ϕ θ ω ( u 1 , u 2 ) θ s ω ( f u 1 , f u 2 ) + ln ϕ θ ω ( u 1 , u 2 ) θ s ω ( f u 1 , f u 2 ) 1
iff
μ ( θ s ω ( f u 1 , f u 2 ) , ϕ θ ω ( u 1 , u 2 ) ) 1 .
Hence the result follows from Theorem 1. □

4. Examples

Next, we illustrate our result by some examples.
Example 3.
Suppose U = C . Let f be a self mapping on U via f ( z ) = α z with α is real number in [ 8 , 8 ] . To show that F f consist of only one element. Define b : U × U : [ 0 , + ) via b ( z 1 , z 2 ) = | z 1 z 2 | 2 and ω : U × U : [ 0 , + ) via ω ( z 1 , z 2 ) = | z 2 | 2 . In addition, define μ : [ 1 , + ) × [ 1 , + ) R by μ ( u , u ) = ( u ) 1 2 u .
Moreover, define θ : [ 0 , + ) [ 1 , + ) via θ ( u ) = e u and ϕ : [ 1 , + ) [ 1 , + ) by ϕ ( u ) = u . Then ( U , b , s ) is complete b-metric space with s = 2 and ω is ω t -distance mapping over ( U , b , s ) , μ H , ϕ Φ and θ Θ .
Now, we show that f is an ( ω t , θ , ϕ ) -contraction with respect to μ; i.e.,
1 ϕ ( θ ω ( z 1 , z 2 ) 1 2 θ 2 ω ( f z 1 , f z 2 ) f o r a l l z 1 , z 2 U .
Now, for all z 1 , z 2 U , we have
2 ω ( f z 1 , f z 2 ) = 2 ω ( α z 1 , α z 2 ) = 2 α 2 | z 2 | 2 1 4 | z 2 | 2 = 1 4 ω ( z 1 , z 2 ) .
Hence
θ 2 ω ( f z 1 , f z 2 ) 1 4 ω ( z 1 , z 2 ) = e 1 4 ω ( z 1 , z 2 ) = ( e ω ( z 1 , z 2 ) ) 1 2 = ϕ ( θ ω ( z 1 , z 2 ) 1 2 ) .
Utilizing Theorem 1, we get F f consists of only one element.
Example 4.
Let U = [ 0 , 1 ] . Define μ : [ 1 , + ) × [ 1 , + ) R by μ ( u , u ) = u u . Additionally, define b , ω : U × U [ 0 , + ) by b ( u 1 , u 2 ) = ( u 1 u 2 ) 2 and ω ( u 1 , u 2 ) = 1 4 ( u 1 u 2 ) 2 . Moreover, define θ : [ 0 , + ) [ 1 , + ) via θ ( u ) = e u and ϕ : [ 1 , + ) [ 1 , + ) by ϕ ( u ) = u 9 32 . Then the function g : U U which is defined by g ( u ) = 1 u 3 4 2 u 3 has a unique fixed point in U .
Proof. 
It is clearly that
  • ( U , b , s ) is a complete b-metric space with s = 2 , and also, ω is ω t -distance mapping over ( U , b , s ) .
  • μ H (see Example 2).
  • ϕ Φ and θ Θ .
To show that F g consists of only one element, it suffices to show that
μ ( θ 2 ω ( f u 1 , f u 2 ) , ϕ θ ω ( u 1 , u 2 ) 1 f o r a l l u 1 , u 2 U ;
i.e., we want to show that
θ 2 ω ( g u 1 , g u 2 ) ϕ θ ω ( u 1 , u 2 ) f o r a l l u 1 , u 2 U .
Now,
2 ω ( g u 1 , g u 2 ) = 1 2 1 u 1 3 4 2 u 1 3 1 u 2 3 4 2 u 2 3 2 = 1 8 ( u 1 u 2 ) ( u 1 2 + u 1 u 2 + u 2 2 ) ( 2 u 1 3 ) 2 ( 2 u 2 3 ) 2 2 9 128 u 1 u 2 2 = 9 32 ω ( u 1 , u 2 ) .
θ 2 ω ( g u 1 , g u 2 ) = e 2 ω ( g u 1 , g u 2 ) e 9 32 ω ( u 1 , u 2 ) = e ω ( u 1 , u 2 ) 9 32 = ϕ θ ω ( u 1 , u 2 ) .
Hence, Theorem 1 ensures that F g consists of only one element. Using MATLAB, we can find that the fixed point of g is u 0.248076921333013 .  □

5. Applications

In this section, we highlight the novelty of our work by introducing some applications by utilizing Theorem 1.
Next, we show that for any real number n 2 , the equation
2 u = 1 + u n n + u n
has a unique solution in [0,1].
Theorem 2.
Let U = [ 0 , 1 ] . Define μ : [ 1 , + ) × [ 1 , + ) R by μ ( u , u ) = 1 + ln ( u u ) . Additionally, define b , ω : U × U [ 0 , + ) by b ( u 1 , u 2 ) = ( u 1 u 2 ) 2 and ω ( u 1 , u 2 ) = 1 4 ( u 1 u 2 ) 2 . Moreover, define θ : [ 0 , + ) [ 1 , + ) via θ ( u ) = e u and ϕ : [ 1 , + ) [ 1 , + ) by ϕ ( u ) = u ( n 1 ) 2 n 2 . Then for the function f : U U which defined by f ( u ) = 1 + u n n 2 + 2 u n , the set F f consists of only one element.
Proof. 
It is obviously that:
  • ( U , b , s ) is a complete b-metric space with s = 2 . In addition, ω is an ω t -distance mapping over ( U , b , s ) .
  • μ H (see Example 2).
  • ϕ Φ and θ Θ .
To show that F f consists of only one element, it suffices to prove that
μ ( θ 2 ω ( f u 1 , f u 2 ) , ϕ θ ω ( u 1 , u 2 ) 1 f o r a l l u 1 , u 2 U ,
which is equivalent to prove that
θ 2 ω ( f u 1 , f u 2 ) ϕ θ ω ( u 1 , u 2 ) f o r a l l u 1 , u 2 U .
Now,
2 ω ( f u 1 , f u 2 ) = 1 2 1 + u 1 n n 2 + 2 u 1 n 1 + u 2 n n 2 + 2 u 2 n 2 = 1 4 ( n + u 1 n ) 2 ( n + u 2 n ) 2 ( n 1 ) ( u 1 n u 2 n ) 2 ( n 1 ) 2 4 n 4 u 1 n u 2 n 2 ( n 1 ) 2 4 n 4 n ( u 1 u 2 ) 2 = ( n 1 ) 2 4 n 2 u 1 u 2 2 = ( n 1 ) 2 n 2 ω ( u 1 , u 2 ) .
θ 2 ω ( f u 1 , f u 2 ) = e 2 ω ( f u 1 , f u 2 ) e ( n 1 ) 2 n 2 ω ( u 1 , u 2 ) = e ω ( u 1 , u 2 ) ( n 1 ) 2 n 2 = ϕ θ ω ( u 1 , u 2 ) .
Hence, Theorem 1 ensures that F f consists of only one element. There is u U such that f u = u ; i.e., u = 1 + u n n 2 + 2 u n . Hence Equation (17) has a unique solution. □
Now, we use Theorem 1 to confirm that for all Q , A i , B i M n ( C ) , for i { 1 , 2 , , k } , the matrix equation
X = Q + i = 1 k ( A i X B i ) ,
where i = 1 k A i B i = λ < 1 has a unique solution.
Let Y = M n ( C ) and consider the spectral norm . : Y [ 0 , + ) which known as | | A | | = s 1 , where s 1 s 2 s n are the singular-values of A. Clearly ( Y , . ) is a Banach space since Y is a finite dimensional norm space.
Theorem 3.
Let Q , A i , B i Y for i { 1 , 2 , , k } be such that i = 1 k A i B i = λ < 1 . Then the matrix in Equation (20) has a unique solution in Y . Moreover, for any matrix X 0 Y , the sequence X n + 1 = Q + i = 1 k ( A i X n B i ) converges to the solution of Equation (20).
Proof. 
Let b , ω : Y × Y [ 0 , + ) be defined as b ( X , Y ) = X Y and ω ( X , Y ) = 1 3 X Y . Then, clearly b is a b-metric on Y with base s = 1 and ω is an ω t -distance mapping. Let μ : [ 1 , + ) × [ 1 , + ) R , θ : [ 0 , + ) [ 1 , + ) and ϕ : [ 1 , + ) [ 1 , + ) be defined as following: μ ( u 1 , u 2 ) = u 2 u 1 , θ ( t ) = e t and ϕ ( t ) = t λ . Define f : Y Y by f X = Q + i = 1 k ( A i X B i ) .
Now, we prove that f is ( ω t , θ , ϕ ) -contraction with respect to μ . To see this, let X , Y Y . Then,
ω ( f X , f Y ) = 1 3 i = 1 k ( A i X B i ) i = 1 k ( A i Y B i )
= 1 3 i = 1 k ( ( A i X B i ) ( A i Y B i ) )
= 1 3 i = 1 k ( A i ( X Y ) B i )
1 3 i = 1 k ( A i ( X Y ) B i )
1 3 i = 1 k A i ( X Y ) B i
= 1 3 ( X Y ) i = 1 k A i B i
= λ ω ( X , Y ) .
e ω ( f X , f Y ) e λ ω ( X , Y ) = e ω ( X , Y ) λ . Hence, θ s ω ( f X , f Y ) ϕ θ ω ( X , Y ) . Consequently, F f consists of only one element. The matrix in Equation (20) has a unique solution. □
To illumine our application, consider the following example
Example 5.
Let A 1 , A 2 , B 1 , B 2 , Q M 4 ( C ) be given as following:
A 1 = 0 0 0.5 0.5 0 0 0.5 0.5 0 1 0 0 1 0 0 0 ,   B 1 = 0.15 0.15 0 0 0.15 0.15 0 0 0 0 0.02 0 0 0 0.02 0.04
A 2 = 0.025 0.05 0 0 0.05 0.05 0 0 0 0 0.1 0.1 0 0 0.1 0.1 ,   B 2 = 0 0 0.5 0.5 0 0 0 0.5 0 1 0 0 1 0 0 0 , a n d
Q = 1 1 1 3 1 5 3 2 9 1 3 1 1 6 5 2 .
One can find that i = 1 2 A i B i = 0.5 < 1 . Theorem 3 implies that the matrix equation X = Q + A 1 X B 1 + A 2 X B 2 has a unique solution, and the sequence X n + 1 = Q + A 1 X n B 1 + A 2 X n B 2 , for n 0 converges to the unique solution for any initial matrix X 0 .
For instance, if we start at initial matrix X 0 = 1 2 1 3 1 2 3 4 2 5 4 1 3 8 10 1 , we find the solution using MATLAB at the 10th iteration which is X 1.4681 0.3926 1.0598 2.7607 2.7171 6.9520 3.2511 2.3746 10.9803 3.3849 3.7461 2.2526 1.6913 7.0959 5.5996 3.0472 .

Author Contributions

Investigation, A.B. and T.Q.; methodology, A.B., W.S., T.Q. and R.H.; supervision, W.S.; writing—original draft, A.B., W.S., T.Q. and R.H.; writing—review and editing, W.S. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Acknowledgments

The authors thank all reviewers for their valuable remarks on the paper.

Conflicts of Interest

The authors declare no conflict of interest.

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Bataihah, A.; Shatanawi, W.; Qawasmeh, T.; Hatamleh, R. On ℋ-Simulation Functions and Fixed Point Results in the Setting of ωt-Distance Mappings with Application on Matrix Equations. Mathematics 2020, 8, 837. https://doi.org/10.3390/math8050837

AMA Style

Bataihah A, Shatanawi W, Qawasmeh T, Hatamleh R. On ℋ-Simulation Functions and Fixed Point Results in the Setting of ωt-Distance Mappings with Application on Matrix Equations. Mathematics. 2020; 8(5):837. https://doi.org/10.3390/math8050837

Chicago/Turabian Style

Bataihah, Anwar, Wasfi Shatanawi, Tariq Qawasmeh, and Raed Hatamleh. 2020. "On ℋ-Simulation Functions and Fixed Point Results in the Setting of ωt-Distance Mappings with Application on Matrix Equations" Mathematics 8, no. 5: 837. https://doi.org/10.3390/math8050837

APA Style

Bataihah, A., Shatanawi, W., Qawasmeh, T., & Hatamleh, R. (2020). On ℋ-Simulation Functions and Fixed Point Results in the Setting of ωt-Distance Mappings with Application on Matrix Equations. Mathematics, 8(5), 837. https://doi.org/10.3390/math8050837

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