Next Article in Journal
Generalized Tepper’s Identity and Its Application
Next Article in Special Issue
Digital k-Contractibility of an n-Times Iterated Connected Sum of Simple Closed k-Surfaces and Almost Fixed Point Property
Previous Article in Journal
A Machine Learning Approach to Forecast Economic Recessions—An Italian Case Study
Previous Article in Special Issue
Links between Contractibility and Fixed Point Property for Khalimsky Topological Spaces
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Several Fixed Point Theorems in Convex b-Metric Spaces and Applications

1
College of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao 266590, China
2
Department of Mathematics, Harbin University of Science and Technology, Harbin 150080, China
3
Poznań, Faculty of Mathematics and Computer Science, Adam Mickiewicz University, Uniwersytetu Poznańskiego 4, 61-614 Poznań, Poland
*
Author to whom correspondence should be addressed.
Mathematics 2020, 8(2), 242; https://doi.org/10.3390/math8020242
Submission received: 3 January 2020 / Revised: 8 February 2020 / Accepted: 10 February 2020 / Published: 14 February 2020
(This article belongs to the Special Issue Fixed Point Theory and Related Nonlinear Problems with Applications)

Abstract

:
Our paper is devoted to indicating a way of generalizing Mann’s iteration algorithm and a series of fixed point results in the framework of b-metric spaces. First, the concept of a convex b-metric space by means of a convex structure is introduced and Mann’s iteration algorithm is extended to this space. Next, by the help of Mann’s iteration scheme, strong convergence theorems for two types of contraction mappings in convex b-metric spaces are obtained. Some examples supporting our main results are also presented. Moreover, the problem of the T-stability of Mann’s iteration procedure for the above mappings in complete convex b-metric spaces is considered. As an application, we apply our main result to approximating the solution of the Fredholm linear integral equation.

1. Introduction

In the last few decades one could observe a huge amount of interest for the development of the fixed point theory because of plenty of applications, especially in metric spaces [1,2]. Banach’s contraction principle [3] is one of the most widely applied fixed point theorems in all branches of mathematics [4,5,6,7,8,9,10,11,12]. In recent decades, scholars have devoted themselves to extending the above theorem to all kinds of generalized metric spaces [13,14,15,16,17]. In 1993, Czerwik [18] introduced the concept of b-metric spaces by weakening the coefficient of the triangle inequality and generalized Banach’s contraction principle to these spaces. Subsequently, Boriceanu, Bota and Petrusel [19,20] obtained some concrete examples of b-metric spaces, and studied the fixed point properties of set-valued operators in b-metric spaces. The fixed point properties of b-metric spaces have received much attention; for example, see [21,22,23,24,25,26,27,28] and references therein.
In 1970, Takahashi [29] introduced the concepts of a convex structure and a convex metric space, and formulated some first fixed point theorems for nonexpansive mappings in the convex metric space. In addition, Goebel and Kirk [30] studied some iterative processes for nonexpansive mappings in the hyperbolic metric space, and in 1988, Xie [31] found fixed points of quasi-contraction mappings in convex metric spaces by Ishikawa’s iteration scheme. In 1990, Reich and Shafrir [32] presented nonexpansive iterations in hyperbolic spaces. In general, the Picard iteration algorithm is widely used in studying the fixed point problems for many kinds of contraction mappings and quasi-contraction mappings in b-metric spaces. However, it is hard to extend other algorithms directly to the b-metric spaces because of the characteristics of this kind of metric space.
In this work, we firstly introduce the concept of the convex b-metric space by means of the convex structure. Moreover, we extend Mann’s iteration algorithm to the above space. We also present some specific examples of convex b-metric spaces. Furthermore, by means of Mann’s iteration scheme, we obtain strong convergence theorems for two types of contraction mapping in convex b-metric spaces. In addition, we show concrete examples supporting our main results. Moreover, we introduce the concept of weak T-stability of the iteration for mappings in complete metric spaces and discuss the problem of weak T-stability of Mann’s iteration procedure for above two kinds of mappings in complete convex b-metric spaces. As an application, we apply our main result to approximating the solution of the Fredholm linear integral equation.

2. Preliminaries

Firstly, we recall some basic notations of b-metric spaces.
Definition 1
([21]). Let H be a set and s 1 be a given real number. A function d b : H × H [ 0 , ] is called a b-metric if the following hold, for every u , v , o H :
(1) 
d b ( u , v ) = 0 if and only if u = v ;
(2) 
d b ( u , v ) = d b ( v , u ) ;
(3) 
d b ( u , v ) s [ d b ( u , o ) + d b ( o , v ) ] .
Then, the pair ( H , d b ) is called a b-metric space with constant s 1 .
Definition 2
([18,32]). Let { u n } be a sequence in a b-metric space ( H , d b ) . Then:
(1) 
The sequence { u n } is said to be convergent in ( H , d b ) if there exists u * H such that lim n d b ( u n , u * ) = 0 .
(2) 
The sequence { u n } is said to be a Cauchy sequence in ( H , d b ) , if for every ε > 0 there exists a positive n 0 N such that d b ( u n , u m ) < ε for all n , m > n 0 (or, equivalently, lim n , m d b ( u n , u m ) = 0 ).
(3) 
( H , d b ) is called a complete b-metric space if every Cauchy sequence is convergent in H.
Definition 3
([31]). Let H and I = [ 0 , 1 ] . Define the mapping d b : H × H [ 0 , ] and a continuous function w : H × H × I H . Then w is said to be the convex structure on H if the following holds:
d b ( o , w ( u , v ; λ ) ) λ d b ( o , u ) + ( 1 λ ) d b ( o , v )
for each o H and ( u , v ; λ ) H × H × I .

3. Main Results

In this section, we begin with the definition of a convex b-metric space.
Definition 4.
Let the mapping w : H × H × I H be a convex structure on a b-metric space ( H , d b ) with constant s 1 and I = [ 0 , 1 ] . Then ( H , d b , w ) is said to be a convex b-metric space.
Let ( X , d b , w ) be a convex b-metric space and T : X X be a mapping. We generalize Mann’s iteration scheme to the convex b-metric space as follows:
x n + 1 = w ( x n , T x n ; α n ) , n N ,
where x n X and α n [ 0 , 1 ] . The sequence { x n } is said to be Mann’s iteration sequence for T.
Let us present now some specific examples of convex b-metric spaces.
Example 1.
Let H = R , and for any u , v H , let us define the metric d b : H × H [ 0 , + ) by the formula
d b ( u , v ) = | u v | l , l > 1
, and the mapping w : H × H × { 1 2 } H by the formula
w ( u , v ; α ) = u + v 2 .
Then, ( H , d b , w ) is a convex b-metric space with s = 2 l 1 . However, ( H , d b , w ) is not a metric space in the usual sense.
Indeed, by the help of the fact that for any n , m [ 0 , + ) and l 1 , inequality
( n + m ) l 2 l 1 ( n l + m l )
holds, we easily show that ( H , d b ) is a b-metric space with s = 2 l 1 . Next we verify that w satisfies inequality (1). For any o , u , v H , we get
d b ( o , w ( u , v ; α ) ) = o [ u + v 2 ] l 2 l 1 2 l o u l + 2 l o v l = 2 1 o u l + o v l = α d b ( o , u ) + ( 1 α ) d b ( o , v ) ,
so ( H , d b , w ) is a convex b-metric space with s = 2 l 1 . However, ( H , d b , w ) is not a metric space in the usual sense because d b does not satisfy the classical triangle inequality. Indeed, if we put l = 2 , then
d b ( 2 , 4 ) = 4 > d b ( 2 , 3 ) + d b ( 3 , 4 ) = 2 .
Example 2.
Let H = R n and d b ( u , v ) = i = 1 n ( u i v i ) 2 for all u = ( u 1 , u 2 , , u n ) H and v = ( v 1 , v 2 , , v n ) H . Obviously, ( H , d b ) is a b-metric space with s = 2 . Let w : H × H × [ 0 , 1 ] H be the mapping defined as
w ( u , v ; α ) = α u + ( 1 α ) v ,
for any u , v H . Then, w satisfies inequality (1). Indeed, for all o , u , v H ,
d b ( o , w ( u , v ; α ) ) = i = 1 n ( o i ( α u i + ( 1 α ) v i ) ) 2 i = 1 n ( α o i u i + ( 1 α ) o i v i ) 2 = i = 1 n α 2 ( o i u i ) 2 + i = 1 n ( 1 α ) 2 ( o i v i ) 2 + 2 α ( 1 α ) i = 1 n o i u i · o i v i i = 1 n α 2 ( o i u i ) 2 + i = 1 n ( 1 α ) 2 ( o i v i ) 2 + α ( 1 α ) i = 1 n ( ( o i u i ) 2 + ( o i v i ) 2 ) = α d b ( o , u ) + ( 1 α ) d b ( o , v ) .
Hence, ( H , d b , w ) is a convex b-metric space. However, similarly to Example 1, it is not a metric space in the usual sense.
The next example shows that the mapping w defined in Example 2, sometimes may not be a convex structure on some metric spaces (see [33,34]).
Example 3.
Let H = l p = u n R : n = 1 u n p < , where 0 < p < 1 . We define d b : H × H [ 0 , + ) by the formula
d b ( u , v ) = ( n = 1 u n v n p ) 1 1 p p , u = u n n = 1 , v = v n n = 1 l p .
Applying inequality ( n + m ) p n p + m p ( 0 < p < 1 ) holding for all n , m [ 0 , + ) , we easily obtain that ( H , d b ) is a b-metric space with constant s = 2 ( 1 p ) / p . Let w : H × H × [ 0 , 1 ] H be the mapping defined as
w ( u , v ; α ) = α u + ( 1 α ) v , f o r   a l l u , v H .
Assume that u n < o n and v n < o n for any n N . Then, for all α ( 0 , 1 ) , we get
d b ( o , w ( u , v ; α ) ) = ( n = 1 α ( o n u n ) + ( 1 α ) ( o n v n ) p ) 1 1 p p > ( n = 1 α ( o n u n ) p ) 1 1 p p + ( n = 1 ( 1 α ) ( o n v n ) p ) 1 1 p p = α d b ( o , u ) + ( 1 α ) d b ( o , v ) ,
which implies that w is not a convex structure on H.
Now we will prove Banach’s contraction principle for complete convex b-metric spaces by means of Mann’s iteration algorithm.
Theorem 1.
Let ( H , d b , w ) be a complete convex b-metric space with constant s > 1 and T : H H be a contraction mapping; that is, there exists β [ 0 , 1 ) such that
d b ( T u , T v ) β d b ( u , v ) , f o r a l l u , v H .
Let us choose u 0 H in such a way that d b ( u 0 , T u 0 ) = M < and define u n = w ( u n 1 , T u n 1 ; α n 1 ) , where 0 α n 1 < 1 and n N . If β s 4 < 1 and 0 < α n 1 < 1 s 4 β 1 β for each n N ; then, T has a unique fixed point in H.
Proof. 
Note that for any n N , there holds
d b ( u n , u n + 1 ) = d b ( u n , w ( u n , T u n ; α n ) ) ( 1 α n ) d b ( u n , T u n )
and
d b ( u n , T u n ) s d b ( u n , T u n 1 ) + s d b ( T u n 1 , T u n ) s d b ( w ( u n 1 , T u n 1 ; α n 1 ) , T u n 1 ) + s β d b ( u n 1 , u n ) s [ α n 1 d b ( u n 1 , T u n 1 ) + β ( 1 α n 1 ) d b ( u n 1 , T u n 1 ) ] = s [ α n 1 + β ( 1 α n 1 ) ] d b ( u n 1 , T u n 1 ) .
Let λ n 1 = s [ α n 1 + β ( 1 α n 1 ) ] . Combining this and the above inequality with assumptions β s 4 < 1 and 0 < α n 1 < 1 s 4 β 1 β holding for each n N , we get
d b ( u n , T u n ) λ n 1 d b ( u n 1 , T u n 1 ) < 1 s 3 d b ( u n 1 , T u n 1 )
which implies that { d b ( u n , T u n ) } is a decreasing sequence of non-negative reals. Hence, there exists γ 0 such that
lim n d b ( u n , T u n ) = γ .
We will show that γ = 0 . Suppose that γ > 0 . Letting n in inequality (2), we obtain
γ 1 s 3 · γ < γ ,
a contradiction. Hence, we get that γ = 0 . Moreover, we have
d b ( u n , u n + 1 ) ( 1 α n ) d b ( u n , T u n ) < d b ( u n , T u n ) ,
which shows that lim n d b ( u n , u n + 1 ) = 0 . Now we will show that { u n } is a Cauchy sequence. Indeed, if { u n } is not a Cauchy sequence, then there exist ε 0 > 0 and the subsequences { u θ ( k ) } and { u η ( k ) } of { u n } , such that θ ( k ) is the smallest natural index with θ ( k ) > η ( k ) > k ,
d b ( u θ ( k ) , u η ( k ) ) ε 0
and
d b ( u θ ( k ) 1 , u η ( k ) ) < ε 0 .
Then, we conclude
ε 0 d b ( u θ ( k ) , u η ( k ) ) s [ d b ( u θ ( k ) , u η ( k ) + 1 ) + d b ( u η ( k ) + 1 , u η ( k ) ) ] ,
which implies that
ε 0 s lim sup k d b ( u θ ( k ) , u η ( k ) + 1 ) .
Noticing that
d b ( u θ ( k ) , u η ( k ) + 1 ) = d b w ( u θ ( k ) 1 , T u θ ( k ) 1 ; α θ ( k ) 1 ) , u η ( k ) + 1 α θ ( k ) 1 d b ( u θ ( k ) 1 , u η ( k ) + 1 ) + ( 1 α θ ( k ) 1 ) d b ( T u θ ( k ) 1 , u η ( k ) + 1 ) α θ ( k ) 1 d b ( u θ ( k ) 1 , u η ( k ) + 1 ) + ( 1 α θ ( k ) 1 ) s d b ( T u θ ( k ) 1 , T u η ( k ) + 1 ) + d b ( T u η ( k ) + 1 , u η ( k ) + 1 ) α θ ( k ) 1 d b ( u θ ( k ) 1 , u η ( k ) + 1 ) + ( 1 α θ ( k ) 1 ) s β d b ( u θ ( k ) 1 , u η ( k ) + 1 ) + d b ( T u η ( k ) + 1 , u η ( k ) + 1 ) = [ α θ ( k ) 1 + ( 1 α θ ( k ) 1 ) s β ] d b ( u θ ( k ) 1 , u η ( k ) + 1 ) + ( 1 α θ ( k ) 1 ) s d b ( T u η ( k ) + 1 , u η ( k ) + 1 ) < s [ α θ ( k ) 1 s + ( 1 α θ ( k ) 1 ) s β ] d b ( u θ ( k ) 1 , u η ( k ) ) + d b ( u η ( k ) , u η ( k ) + 1 ) + ( 1 α θ ( k ) 1 ) s d b ( T u η ( k ) + 1 , u η ( k ) + 1 ) ,
we obtain
1 s ε 0 lim sup k d b ( u θ ( k ) , u η ( k ) + 1 ) s 2 · 1 s 4 ε 0 < 1 s ε 0 ,
a contradiction. Thus { u n } is a Cauchy sequence in H. By the completeness of H, there exists u * H such that lim n d b ( u n , u * ) = 0 .
Next, we will verify that u * is a fixed point of T. Note that
d b ( u * , T u * ) s d b ( u * , u n ) + d b ( u n , T u * ) s d b ( u * , u n ) + s 2 d b ( u n , T u n ) + d b ( T u n , T u * ) = s d b ( u * , u n ) + s 2 d b ( u n , T u n ) + s 2 β d b ( u n , u * ) .
Letting n , we deduce that d b ( u * , T u * ) = 0 which implies that T u * = u * . Hence, u * is a fixed point of T. Now we will explain that T has a unique fixed point. Suppose that q H is another fixed point, that is, T q = q . Then,
d b ( u * , q ) = d b ( T u * , T q ) β d b ( u * , q )
for some β [ 0 , 1 ) , a contradiction. Hence, u * = q which completes the proof. □
Let us give an example illustrating the above theorem.
Example 4.
Let H = R + 0 and T u = u 5 for all u H . For any u , v H , we define function d b : H × H [ 0 , + ) by the formula d b ( u , v ) = ( u v ) 2 , while the mapping w : H × H × [ 0 , 1 ] H is defined as
w ( u , v ; α ) = α u + ( 1 α ) v , for all u , v H .
Set β = 1 1 + 2 4 and u n = w ( u n 1 , T u n 1 ; α n 1 ) , where u 0 = 1 and α n 1 = 1 2 4 β . Then, ( H , d b , w ) is a complete convex b-metric space with s = 2 , and T has a unique fixed point in H.
Indeed, from Example 1 it follows that ( H , d b ) is a b-metric space with s = 2 . In addition, for any o , u , v H , we have
d b ( o , w ( u , v ; α ) ) = α ( o u ) + ( 1 α ) ( o v ) 2 α o u + ( 1 α ) o v 2 = ( α o u ) 2 + ( ( 1 α ) o v ) 2 + 2 α ( 1 α ) o u o v ( α o u ) 2 + ( ( 1 α ) o v ) 2 + α ( 1 α ) ( o u 2 + o v 2 ) = α ( o u ) 2 + ( 1 α ) ( o v ) 2 = α d b ( o , u ) + ( 1 α ) d b ( o , v ) .
Hence, ( H , d b , w ) is a convex b-metric space with s = 2 . It is not difficult to see that T satisfies
d b ( T u , T v ) = 1 25 d b ( u , v ) β d b ( u , v ) ,
where β = 1 17 . We choose u 0 H \ { 0 } . Combining with u n = w ( u n 1 , T u n 1 ; α n 1 ) and T u = u 5 , we have
u n = α n 1 u n 1 + ( 1 α n 1 ) T u n 1 = 1 5 + 4 5 α n 1 u n 1 ,
and
u n 1 = 1 5 + 4 5 α n 2 u n 2 , u n 2 = 1 5 + 4 5 α n 3 u n 3 , , u 1 = 1 5 + 4 5 α 0 u 0 .
Since α n 1 = 1 2 4 β for all n N , we obtain
u n = 69 340 n u 0 and T u n = 1 5 · 69 340 n u 0 .
Letting n , we get that u n 0 H and T u n 0 H . We notice that 0 is a fixed point of T in H. Next, we will show that T has a unique fixed point. Suppose that u * , q H are two distinct fixed points of T. Then,
0 < d b ( u * , q ) = d b ( T u * , T q ) = d b 1 5 u * , 1 5 q = 1 25 d b ( u * , q ) ,
a contradiction. Therefore, 0 is the unique fixed point of T in H.
Our next theorem is the Kannan type fixed point theorem for a complete convex b-metric space.
Theorem 2.
Let ( H , d b , w ) be a complete convex b-metric space with constant s > 1 , and let the mapping T : H H be defined as
d b ( T u , T v ) k [ d b ( u , T u ) + d b ( v , T v ) ] , for all u , v H
and for some k [ 0 , 1 2 ) . Let us choose u 0 H in such a way that d b ( u 0 , T u 0 ) = M < and define u n = w ( u n 1 , T u n 1 ; α n 1 ) for n N and α n 1 ( 0 , 1 4 s 2 ] . If k [ 0 , 1 4 s 2 ] , then T has a unique fixed point in H.
Proof. 
Note that for any n N , we have
d b ( u n , u n + 1 ) = d b ( u n , w ( u n , T u n ; α n ) ) ( 1 α n ) d b ( u n , T u n )
and
d b ( u n , T u n ) = d b ( w ( u n 1 , T u n 1 ; α n 1 ) , T u n ) α n 1 d b ( u n 1 , T u n ) + ( 1 α n 1 ) d b ( T u n 1 , T u n ) s α n 1 d b ( u n 1 , T u n 1 ) + s α n 1 d b ( T u n 1 , T u n ) + d b ( T u n 1 , T u n ) s α n 1 d b ( u n 1 , T u n 1 ) + ( s α n 1 + 1 ) k [ d b ( u n 1 , T u n 1 ) + d b ( u n , T u n ) ] = ( s α n 1 + s α n 1 k + k ) d b ( u n 1 , T u n 1 ) + ( s α n 1 k + k ) d b ( u n , T u n ) ;
i.e.,
[ 1 ( s α n 1 k + k ) ] d b ( u n , T u n ) ( s α n 1 + s α n 1 k + k ) d b ( u n 1 , T u n 1 ) .
Since
s α n 1 k + k 1 4 s + 1 k < 5 4 · 1 4 s 2 < 1 ,
then
d b ( u n , T u n ) s α n 1 + s α n 1 k + k 1 ( s α n 1 k + k ) d b ( u n 1 , T u n 1 ) .
Denote λ n 1 = s α n 1 + s α n 1 k + k 1 ( s α n 1 k + k ) for n N . We deduce that
λ n 1 = s α n 1 + s α n 1 k + k 1 ( s α n 1 k + k ) < 5 4 1 ( s α n 1 k + k ) 1 < 5 4 1 5 4 · 1 4 s 2 1 < 9 11 .
Combining this and inequality (5) with the assumptions of the theorem, we get
d b ( u n , T u n ) λ n 1 d b ( u n 1 , T u n 1 ) < 9 11 d b ( u n 1 , T u n 1 ) ,
which implies that { d b ( u n , T u n ) } is a decreasing sequence of non-negative reals. Hence, there exists γ 0 such that
lim n d b ( u n , T u n ) = γ .
We will show that γ = 0 . Suppose γ > 0 . Letting n in (6), we obtain that γ 9 11 · γ < γ , a contradiction. Hence, we get that γ = 0 ; i.e.,
lim n d b ( u n , T u n ) = 0 .
Moreover, by inequality (4), we obtain
d b ( u n , u n + 1 ) ( 1 α n ) d b ( u n , T u n ) < d b ( u n , T u n ) ,
which implies that lim n d b ( u n , u n + 1 ) = 0 . Now we will show that { u n } is a Cauchy sequence. Indeed, if { u n } is not a Cauchy sequence, then there exist ε 0 > 0 and the subsequences { u θ ( l ) } and { u η ( l ) } of { u n } such that θ ( l ) is the smallest natural index with θ ( l ) > η ( l ) > l ,
d b ( u θ ( l ) , u η ( l ) ) ε 0
and
d b ( u θ ( l ) 1 , u η ( l ) ) < ε 0 .
Then, we conclude that
ε 0 d b ( u θ ( l ) , u η ( l ) ) s [ d b ( u θ ( l ) , u η ( l ) + 1 ) + d b ( u η ( l ) + 1 , u η ( l ) ) ] ,
which implies that
ε 0 s lim sup l d b ( u θ ( l ) , u η ( l ) + 1 ) .
Noticing that
d b ( u θ ( l ) , u η ( l ) + 1 ) = d b w ( u θ ( l ) 1 , T u θ ( l ) 1 ; α θ ( l ) 1 ) , u η ( l ) + 1 α θ ( l ) 1 d b ( u θ ( l ) 1 , u η ( l ) + 1 ) + ( 1 α θ ( l ) 1 ) d b ( T u θ ( l ) 1 , u η ( l ) + 1 ) α θ ( l ) 1 d b ( u θ ( l ) 1 , u η ( l ) + 1 ) + ( 1 α θ ( l ) 1 ) s d b ( T u θ ( l ) 1 , T u η ( l ) + 1 ) + d b ( T u η ( l ) + 1 , u η ( l ) + 1 ) α θ ( l ) 1 d b ( u θ ( l ) 1 , u η ( l ) + 1 ) + ( 1 α θ ( l ) 1 ) s k d b ( u θ ( l ) 1 , T u θ ( l ) 1 ) + ( k + 1 ) d b ( T u η ( l ) + 1 , u η ( l ) + 1 ) ( for some k 0 , 1 2 satisfying ( ) ) α θ ( l ) 1 s d b ( u θ ( l ) 1 , u η ( l ) ) + s d b ( u η ( l ) , u η ( l ) + 1 ) + ( 1 α θ ( l ) 1 ) s k d b ( u θ ( l ) 1 , T u θ ( l ) 1 ) + ( k + 1 ) d b ( T u η ( l ) + 1 , u η ( l ) + 1 ) ,
we obtain
lim sup l d b ( u θ ( l ) , u η ( l ) + 1 ) 1 4 s 2 s · ε 0 < 1 s ε 0 ,
a contradiction. Thus { u n } is a Cauchy sequence in H. By the completeness of H, it follows that there exists u * H such that
lim n d b ( u n , u * ) = 0 .
Now we will show that u * is a fixed point of T. Since
d b ( u * , T u * ) s d b ( u * , u n ) + d b ( u n , T u * ) s d b ( u * , u n ) + s 2 d b ( u n , T u n ) + d b ( T u n , T u * ) s d b ( u * , u n ) + s 2 d b ( u n , T u n ) + s 2 k [ d b ( u n , T u n ) + d b ( u * , T u * ) ] ,
we conclude that
( 1 s 2 k ) d b ( u * , T u * ) s d b ( u * , u n ) + ( s 2 + s 2 k ) d b ( u n , T u n ) s d b ( u * , u n ) + ( s 2 + s 2 k ) · 9 11 n d b ( u 0 , T u 0 ) .
Consequently, we get that lim n d b ( u * , T u * ) = 0 , so u * is a fixed point of T.
In order to show the uniqueness of the fixed point, suppose that q H , q u * , is another fixed point of T. Then T q = q . However,
0 < d b ( u * , q ) = d b ( T u * , T q ) k d b ( u * , T u * ) + k d b ( q , T q ) = 0 ,
a contradiction. Hence, u * = q which completes the proof. □
Next, we will give an example of applying Theorem 2.
Example 5.
Let H = R + 0 and define the mapping T : H H by the formula
T u = 0 , i f u [ 0 , 5 2 ) , 1 4 u , i f u [ 5 2 , + ) .
For any u , v H , we define d b : H × H [ 0 , + ) by the formula d b ( u , v ) = ( u v ) 2 and the mapping w : H × H × [ 0 , 1 ] H as
w ( u , v ; α ) = α u + ( 1 α ) v .
Let u 0 be the initial value and u n = w ( u n 1 , T u n 1 ; α n 1 ) , where α n 1 = 1 4 s . If k = 1 4 s 2 , then T has a unique fixed point in H.
Proof. 
From Example 4, it follows that ( H , d , w ) is a convex b-metric space with s = 2 . We claim that T satisfies inequality
d b ( T u , T v ) k [ d b ( u , T u ) + d b ( v , T v ) ]
for any u , v H . In order to prove it, we will consider the following four cases.
(i) If u , v [ 0 , 5 2 ) , then it is easy to see that inequality (7) holds.
(ii) If u [ 0 , 5 2 ) and v [ 5 2 , + ) , then
d b ( T u , T v ) 1 16 d b ( u , T u ) + d ( v , T v ) = 1 4 v 2 1 16 u 2 + v 1 4 v 2 1 4 v 2 1 16 v 1 4 v 2 0 ,
which implies that
d b ( T u , T v ) 1 16 [ d b ( u , T u ) + d b ( v , T v ) ]
holds for any u [ 0 , 5 2 ) and v [ 5 2 , + ) .
(iii) If u [ 5 2 , + ) and v [ 0 , 5 2 ) , then, similarly to case (ii), we can also get that inequality (7) holds.
(iv) If u , v [ 5 2 , + ) , then
d b ( T u , T v ) 1 16 [ d b ( u , T u ) + d b ( v , T v ) ] = 1 16 ( 1 u 1 v ) 2 1 16 ( u 1 4 u ) 2 + ( v 1 4 v ) 2 = 1 16 { 15 16 ( 1 u 2 + 1 v 2 ) + 1 [ ( u 2 + v 2 ) + 2 u v ] } 1 16 [ 15 16 ( 1 u 2 + 1 v 2 ) + 1 [ 2 u v + 2 u v ] ] 1 16 [ 15 16 ( 1 u 2 + 1 v 2 ) + 1 4 ] < 0 ,
which shows that
d b ( T u , T v ) < 1 16 [ d b ( u , T u ) + d b ( v , T v ) ]
holds for all u , v [ 5 2 , + ) . Summarizing, inequality (7) holds for any u , v H .
Next, we will claim that T has a unique fixed point in H. In order to do it, we will consider the following two cases.
(a) If u 0 < 5 2 , then
T u 0 = 0 , u 1 = 1 8 u 0 + 7 8 T u 0 = 1 8 u 0 , u 2 = 1 8 u 1 + 7 8 T u 1 = 1 8 2 u 0 , u 3 = 1 8 u 2 + 7 8 T u 2 = 1 8 3 u 0 , u n = 1 8 u n 1 + 7 8 T u n 1 = 1 8 n u 0 .
Obviously, u n 0 as n .
(b) If u 0 5 2 , then
T u 0 = 1 4 u 0 , u 1 = 1 8 u 0 + 7 8 T u 0 , u 1 u 0 = 1 8 + 7 32 1 u 0 2 3 10 .
If 0 u 1 < 5 2 , then T u 1 = 0 . From case (a), it follows that u n 0 as n . If u 1 5 2 , then u 2 u 1 = 1 8 + 7 32 · 1 u 1 2 3 10 . From the above procedure, we can assume that u n 1 5 2 . Then, we obtain
u n u n 1 = 1 8 + 7 32 · 1 u n 1 2 3 10
and
u n u 0 = u 1 u 0 · u 2 u 1 · . . . · u n u n 1 3 10 n ,
which implies that u n ( 3 10 ) n u 0 . Hence, lim n u n = 0 , where 0 is a fixed point of T. Actually, 0 is the unique fixed point of T in H. Indeed, suppose that q [ 5 2 , + ) is also a fixed point of T. Then T q = q ; that is,
q = T q = 1 4 q ,
which implies
q = 1 2 < 5 2 ,
a contradiction. Thus the proof is finished. □
Next, we will consider the problem for the T-stability of Mann’s iteration for the above two kinds of mappings in complete convex b-metric spaces. We first recall the following useful results.
Lemma 1
([35]). Let { k n } , { l n } be non-negative sequences satisfying k n + 1 h k n + l n for all n N , 0 h < 1 , lim n l n = 0 . Then lim n k n = 0 .
In 2008, Qing and Rhoades [24] introduced the concept of T-stability of the iteration procedure in complete metric spaces in the following:
Definition 5
([24]). Let T be a self-map on a complete metric space ( H , d b ). Assume that u n + 1 = f ( T , u n ) is an iteration sequence, which yields a sequence u n of points from H. Then the sequence u n + 1 = f ( T , u n ) is said to be T-stable if { u n } converges to a fixed point u * of T, and if { v n } is a sequence in H such that lim n d b ( v n + 1 , f ( T , v n ) ) = 0 , then we have lim n v n = u * .
Now we show the notion of the weak T-stability of the iteration procedure.
Definition 6.
Let T be a self-map on a complete metric space ( H , d b ). Assume that u n + 1 = f ( T , u n ) is an iteration sequence, which yields a sequence u n of points from H. Then the iteration procedure u n + 1 = f ( T , u n ) , is said to be weakly T-stable if { u n } converges to a fixed point u * of T, and if { v n } is a sequence in H such that lim n d b ( v n + 1 , f ( T , v n ) ) = 0 and sequence { d b ( v n , T v n ) } is bounded, then lim n v n = u * .
Remark 1.
It is not difficult to see that if an iteration is T-stable, then it is also weakly T-stable. However, one is not sure if the converse is not true.
Theorem 3.
Under the assumptions of Theorem 1, if, additionally, lim n α n = 0 , then Mann’s iteration is weakly T-stable.
Proof. 
By virtue of Theorem 1, we deduce that u * is a unique fixed point of T in H. Assume that { v n } is a sequence in H which satisfies lim n d b ( v n + 1 , w ( v n , T v n ; α n ) ) = 0 and { d b ( v n , T v n ) } is bounded. We obtain
d b ( v n + 1 , u * ) s [ d b ( v n + 1 , w ( v n , T v n ; α n ) ) + d b ( w ( v n , T v n ; α n ) , u * ) ] s d b ( v n + 1 , w ( v n , T v n ; α n ) ) + s 2 [ d b ( w ( v n , T v n ; α n ) , T v n ) + d b ( T v n , u * ) ] s d b ( v n + 1 , w ( v n , T v n ; α n ) ) + s 2 [ α n d b ( v n , T v n ) + β d b ( v n , u * ) ] = s d b ( v n + 1 , w ( v n , T v n ; α n ) ) + s 2 α n d b ( v n , T v n ) + s 2 β d b ( v n , u * ) s d b ( v n + 1 , w ( v n , T v n ; α n ) ) + s 2 α n d b ( v n , T v n ) + 1 s 2 d b ( v n , u * ) .
Noticing that 1 s 2 < 1 , lim n α n = 0 , lim n d b ( v n + 1 , w ( v n , T v n ; α n ) ) = 0 and { d b ( v n , T v n ) } is bounded, and taking into account Lemma 1, we get that
lim n d b ( v n , u * ) = 0 ,
which completes the proof. □
Theorem 4.
Under all the assumptions of Theorem 2, if lim n α n = 0 and if the positive real numbers k and s from Theorem 2 satisfy, additionally, condition k s 3 1 k s < 1 , then Mann’s iteration is weakly T-stable.
Proof. 
From Theorem 2, it follows that T has a unique fixed point u * in H. Assume that { v n } is a sequence in H which satisfies
lim n d b ( v n + 1 , w ( v n , T v n ; α n ) ) = 0
and { d b ( v n , T v n ) } is bounded. We obtain
d b ( v n + 1 , u * ) s [ d b ( v n + 1 , w ( v n , T v n ; α n ) ) + d b ( w ( v n , T v n ; α n ) , u * ) ] s d b ( v n + 1 , w ( v n , T v n ; α n ) ) + s 2 [ d b ( w ( v n , T v n ; α n ) , T v n ) + d b ( T v n , u * ) ] s d b ( v n + 1 , w ( v n , T v n ; α n ) ) + s 2 [ α n d b ( v n , T v n ) + d b ( T v n , u * ) ] .
Moreover, for any n N , we have
d b ( T v n , u * ) = d b ( T v n , T u * ) k d b ( v n , T v n ) k s [ d b ( v n , u * ) + d b ( T v n , u * ) ] ,
which implies d b ( T v n , u * ) k s 1 k s d b ( v n , u * ) . Hence,
d b ( v n + 1 , u * ) k s 3 1 k s d b ( v n , u * ) + s d b ( v n + 1 , w ( v n , T v n ; α n ) ) + s 2 α n d b ( v n , T v n ) .
Noticing that k s 3 1 k s < 1 , lim n α n = 0 , lim n d b ( v n + 1 , w ( v n , T v n ; α n ) ) = 0 and { d b ( v n , T v n ) } is bounded, and by virtue of Lemma 1, we get that lim n d b ( v n , u * ) = 0 . □

4. Applications

In this section we apply Theorem 1 in order to show the existence and uniqueness of the solution of the Fredholm linear integral equation:
u ( t ) = f ( t ) + λ a b K ( t , τ ) u ( τ ) d τ .
Theorem 5.
Consider the linear integral Equation (8) with the continuous function K ( t , τ ) , where a t , τ b and f H [ a , b ] . Let M = max a t , τ b K ( t , τ ) and m > 2 be an arbitrary real number. If λ < 1 2 m M ( b a ) , then the linear integral Equation (8) has a unique solution on the interval [ a , b ] . Moreover, the solution is exhibited as follows:
u ( t ) = f ( t ) + λ lim n a b K ( t , τ ) u n ( τ ) d τ ,
where u 0 ( t ) = u 0 , α n 1 = 1 16 1 4 m 2 and
u n ( t ) = α n 1 u n 1 ( t ) + ( 1 α n 1 ) f ( t ) + λ a b K ( t , τ ) u n 1 ( τ ) d τ , n = 1 , 2 , 3 , .
Proof. 
Let H = C [ a , b ] and define d b : H × H [ 0 , + ) by the formula
d b ( u , v ) = max a t , τ b u ( t ) v ( t ) 2 .
Define a self-map T on H by
T u ( t ) = f ( t ) + λ a b K ( t , τ ) u ( τ ) d τ , for all u H [ a , b ] .
Set
u n = w ( u n 1 , T u n 1 ; α n 1 ) = α n 1 u n 1 + ( 1 α n 1 ) T u n 1 ,
where α n 1 = 1 16 1 4 m 2 . It is obvious that ( H , d b , w ) is a complete convex b-metric space with s = 2 . Combining (10) and (11), we get
d b ( T u , T v ) = max a t , τ b T u ( t ) T v ( t ) 2 = max a t , τ b λ a b K ( t , τ ) u ( τ ) K ( t , τ ) v ( τ ) d τ 2 max a t , τ b λ 2 a b K ( t , τ ) u ( τ ) v ( τ ) d τ 2 M ( b a ) λ 2 max a t , τ b u ( τ ) v ( τ ) 2 = M ( b a ) λ 2 d b ( u , v ) < 1 4 m 2 d b ( u , v ) .
Hence, T is a contraction mapping on H( β = 1 4 m 2 ). Meanwhile, by Theorem 1, T has a unique fixed point u ( t ) H satisfying lim n u n ( t ) = u ( t ) and T u ( t ) = u ( t ) , which means that u ( t ) is the solution of (8). Now we will show that
a b K ( t , τ ) u ( τ ) d τ = lim n a b K ( t , τ ) u n ( τ ) d τ .
Indeed,
lim sup n a b K ( t , τ ) ( u n ( τ ) u ( τ ) ) d τ lim sup n a b K ( t , τ ) u n ( τ ) u ( τ ) d τ M ( b a ) lim sup n max u n ( τ ) u ( τ ) .
Since
lim n d ( u n ( t ) , u ( t ) ) = lim n max ( u n ( t ) u ( t ) ) 2 = 0 ,
it is not difficult to see that
lim n a b K ( t , τ ) ( u n ( τ ) u ( τ ) ) d τ = 0 .
Thus, Equation (9) holds. □

Author Contributions

Conceptualization, L.C.; Investigation, C.L. and R.K.; Writing—review and editing, Y.Z. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Training Program for Youth Innovation Talents of Heilongjiang Educational Committee under grant UNPYSCT-2017078, the Postdoctoral Science Foundation of Heilongjiang Province under grant LBH-Q18067 and the Introduction and Cultivation Project of Young and Innovative Talents in Universities of Shandong Province.

Acknowledgments

The authors would like to thank the referees for valuable comments and suggestions which helped to improve this paper.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Ran, A.C.M.; Reurings, M.C.B. A fixed point theorem in partially ordered sets and some applications to matrix equations. Proc. Am. Math. Soc. 2004, 132, 1435–1443. [Google Scholar] [CrossRef]
  2. Wang, H.Q.; Song, X.H.; Chen, L.L.; Xie, W. A secret sharing scheme for quantum gray and color images based on encryption. Int. J. Theor. Phys. 2019, 58, 1626–1650. [Google Scholar] [CrossRef]
  3. Banach, S. Sur les operations dans les ensembles abstraits et leur application aux equations integrales. Fundam. Math. 1922, 3, 133–181. [Google Scholar] [CrossRef]
  4. Chen, L.; Gao, L.; Chen, D. Fixed point theorems of mean nonexpansive set-valued mappings in Banach spaces. J. Fixed Point Theory Appl. 2017, 19, 2129–2143. [Google Scholar] [CrossRef]
  5. Chen, L.; Gao, L.; Zhao, Y. A new iterative scheme for finding attractive points of (α,β)-generalized hybrid set-valued mappings. J. Nonlinear Sci. Appl. 2017, 10, 1228–1237. [Google Scholar] [CrossRef] [Green Version]
  6. Chen, L.; Zou, J.; Zhao, Y.; Zhang, M. Iterative approximation of common attractive points of (α,β)-generalized hybrid set-valued mappings. J. Fixed Point Theory Appl. 2019, 21, 58. [Google Scholar] [CrossRef]
  7. Mihet, D. A Banach contraction theorem in fuzzy metric spaces. Fuzzy Sets Syst. 2004, 144, 431–439. [Google Scholar] [CrossRef]
  8. Ruzhansky, M.; Cho, Y.J.; Agarwal, P.; Area, I. Advances in Real and Complex Analysis with Applications; Springer: London, UK, 2017. [Google Scholar]
  9. Sawangsup, K.; Sintunavarat, W.; Cho, Y.J. Fixed point theorems for orthogonal F-contraction mappings on O-complete metric spaces. J. Fixed Point Theory Appl. 2020, 22, 10. [Google Scholar] [CrossRef]
  10. Saipara, P.; Kumam, P.; Cho, Y.J. Random fixed point theorems for Hardy-Rogers self-random operators with applications to random integral equations. Stochastics 2018, 90, 297–311. [Google Scholar] [CrossRef] [Green Version]
  11. Reich, S. Fixed points of contractive functions. Boll. Della Unione Mat. Ital. 1972, 5, 26–42. [Google Scholar]
  12. Reich, S. Kannan’s fixed point theorem. Boll. Unione Mat. Ital. 1971, 4, 1–11. [Google Scholar]
  13. Mongkolkeha, C.; Cho, Y.J.; Kumam, P. Fixed point theorems for simulation functions in b-metric spaces via the wt-distance. Appl. Gen. Topol. 2017, 18, 91–105. [Google Scholar] [CrossRef] [Green Version]
  14. Cho, Y.J.; Rassias, T.M.; Saadati, R. Fuzzy Operator Theory in Mathematical Analysis; Springer: London, UK, 2018. [Google Scholar]
  15. Aghajani, A.; Abbas, M.; Roshan, J.R. Common fixed point of generalized weak contractive mappings in partially ordered b-metric spaces. Math. Slovaca 2014, 64, 941–960. [Google Scholar] [CrossRef]
  16. Reich, S. Nonlinear evolution equations and nonlinear ergodic theorems. Nonlinear-Anal. Theory Methods Appl. 1977, 1, 319–330. [Google Scholar] [CrossRef]
  17. Reich, S.; Zaslavski, A.J. Genericity in Nonlinear Analysis; Springer: London, UK, 2014. [Google Scholar]
  18. Czerwik, S. Contraction mappings in b-metric spaces. Acta Math. Inform. Univ. Ostrav. 1993, 1, 5–11. [Google Scholar]
  19. Boriceanu, M.; Bota, M.; Petruşel, A. Multivalued fractals in b-metric spaces. Open Math. 2010, 8, 367–377. [Google Scholar] [CrossRef]
  20. Boriceanu, M.; Petrusel, A.; Rus, I. Fixed point theorems for some multivalued generalized contractions in b-metric spaces. Int. J. Math. Stat. 2010, 6, 65–76. [Google Scholar]
  21. Bota, M.F.; Karapınar, E. A note on “Some results on multi-valued weakly Jungck mappings in b-metric space”. Open Math. 2013, 11, 1711–1712. [Google Scholar] [CrossRef]
  22. Tiammee, J.; Suantai, S.; Cho, Y.J. Existence theorems of a new set-valued MT-contraction in b-metric spaces endowed with graphs and applications. Fixed Point Theory 2018, 19, 785–800. [Google Scholar] [CrossRef]
  23. Yamaod, O.; Sintunavarat, W.; Cho, Y.J. Existence of a common solution for a system of nonlinear integral equations via fixed point methods in b-metric spaces. Open Math. 2016, 14, 128–145. [Google Scholar] [CrossRef]
  24. Qing, Y.; Rhoades, B. T-stability of picard iteration in metric spaces. Fixed Point Theory Appl. 2008, 2008, 418971. [Google Scholar] [CrossRef] [Green Version]
  25. Todorčević, V. Harmonic Quasiconformal Mappings and Hyperbolic Type Metrics; Springer: London, UK, 2019. [Google Scholar]
  26. Aleksić, S.; Došenović, T.; Mitrović, Z.D.; Radenović, S. Remarks on common fixed point results for generalized α*-ψ-contraction multivalued mappings in b-metric spaces. Adv. Fixed Point Theory 2019, 9, 1–16. [Google Scholar]
  27. Todorčević, V. Subharmonic behavior and quasiconformal mappings. Anal. Math. Phys. 2019, 9, 1211–1225. [Google Scholar] [CrossRef]
  28. Chen, L.; Liu, X.; Zhao, Y. Exponential stability of a class of nonlinear systems via fixed point theory. Nonlinear Anal. 2020, 196, 111784. [Google Scholar] [CrossRef]
  29. Takahashi, W. A convexity in metric space and nonexpansive mappings. I. Kodai Math. Semin. Rep. 1970, 22, 142–149. [Google Scholar] [CrossRef]
  30. Goebel, K.; Kirk, W.A. Iteration processes for nonexpansive mappings. Contemp. Math. 1983, 21, 115–123. [Google Scholar]
  31. Ding, X.P. Iteration processes for nonlinear mappings in convex metric spaces. J. Math. Anal. Appl. 1988, 132, 114–122. [Google Scholar] [CrossRef] [Green Version]
  32. Reich, S.; Shafrir, I. Nonexpansive iterations in hyperbolic spaces. Nonlinear Anal. 1990, 19, 537–558. [Google Scholar] [CrossRef]
  33. Reich, S. Weak convergence theorems for nonexpansive mappings in Banach spaces. J. Math. Anal. Appl. 1979, 67, 274–276. [Google Scholar] [CrossRef] [Green Version]
  34. Borwein, J.; Reich, S.; Shafrir, I. Krasnoselskii-Mann iterations in normed spaces. Can. Math. Bull. 1992, 35, 21–28. [Google Scholar] [CrossRef] [Green Version]
  35. Liu, Q. The convergence theorems of the sequence of Ishikawa iterates for hemicontractive mappings. J. Math. Anal. Appl. 1990, 146, 301–305. [Google Scholar]

Share and Cite

MDPI and ACS Style

Chen, L.; Li, C.; Kaczmarek, R.; Zhao, Y. Several Fixed Point Theorems in Convex b-Metric Spaces and Applications. Mathematics 2020, 8, 242. https://doi.org/10.3390/math8020242

AMA Style

Chen L, Li C, Kaczmarek R, Zhao Y. Several Fixed Point Theorems in Convex b-Metric Spaces and Applications. Mathematics. 2020; 8(2):242. https://doi.org/10.3390/math8020242

Chicago/Turabian Style

Chen, Lili, Chaobo Li, Radoslaw Kaczmarek, and Yanfeng Zhao. 2020. "Several Fixed Point Theorems in Convex b-Metric Spaces and Applications" Mathematics 8, no. 2: 242. https://doi.org/10.3390/math8020242

APA Style

Chen, L., Li, C., Kaczmarek, R., & Zhao, Y. (2020). Several Fixed Point Theorems in Convex b-Metric Spaces and Applications. Mathematics, 8(2), 242. https://doi.org/10.3390/math8020242

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop