[mycorrespondingauthor]* Corresponding author: Rahul Mansotra
Fixed-Point Theorems in b-Metric Spaces via a Novel Simulation Function
Abstract
This paper introduces a new type of simulation function within the framework of -metric spaces, leading to the derivation of fixed-point results in this general setting. We explore the theoretical implications of these results and demonstrate their utility through a concrete example.
1 Introduction and Preliminaries
Fixed point theory has long been a cornerstone in both theoretical and applied mathematics, offering deep insights into the behavior of nonlinear systems and algorithms. One of its most powerful tools is the Banach Contraction Mapping Theorem bm3 , which provides a rigorous foundation for proving the existence and uniqueness of fixed points under specific conditions. The theorem also guarantees that certain methods will converge to the fixed point, making it an essential result in the study of mathematical structures and solutions. The exploration of fixed points extends across various mathematical disciplines, including optimization, differential equations, numerical analysis, control theory, and game theory.
In recent decades, there has been a growing interest in extending both classical and contemporary results from metric fixed point theory to a wider range of generalized metric spaces. This transition has not only broadened the scope of fixed point theory but also introduced new challenges and opportunities for research in more abstract settings. These advancements have led to a deeper understanding of how fixed point results can be adapted and applied beyond traditional metric spaces. A recent survey by Van An et al. bm23 offers a comprehensive exploration of these developments, highlighting key results and their potential implications in various mathematical contexts.
In most instances, this approach turned out to be remarkably straightforward, as the fixed point theorems developed in more general metric spaces could be easily derived from their counterparts in classical metric spaces through a systematic metrization process. This process is exemplified in several influential studies, including bm7 , bm8 , and bm10 .
However, there are certain generalized metric spaces, such as quasi metric spaces (often referred to as b-metric spaces within fixed point theory), where the transposition process typically leads to meaningful generalizations of fixed point theorems from traditional metric spaces. Bakhtin bm4 and Czerwik bm6 played a pivotal role in this development by extending the classical concept of metric space, introducing the more general notion of b-metric spaces, and thereby expanding the framework of fixed point theory and its related fields.
In 2014, Jleli and Samet bm14 introduced the concept of -contractions, providing an important generalization of the Banach contraction principle in the framework of Branciari distance spaces bm4 . Later, Ahmad et al. bm13 refined the conditions on the auxiliary function (say), leading to a comparable result in standard metric spaces. Alternatively, Khojasteh et al. bm17 established the concept of simulation functions with a view to consider a new class of contractions, called -contractions. Such family generalized, extended and improved several results that had been obtained in previous years. The simplicity and usefulness of these contractions have inspirited many researchers to diversify it further (see [ bm12 , bm15 , bm16 , bm19 , bm21 , and bm22 ]).
Building on the concept of simulation functions introduced by Khojasteh et al. bm17 , Cho et al. bm5 made a remarkable advancement in 2018 by introducing the -simulation function as a novel structure within the field. This groundbreaking contribution not only set a new standard but also sparked a wave of further research and development, highlighting the transformative influence of innovative methodologies on the evolution of simulation practices.
Throughout this article, denotes a nonempty set, represents the set of positive real numbers, stands for the set of positive integers, and refers to the set of nonnegative integers.
This section begins with the following definition:
Definition 1.1
bm6 A map is said to be -metric on if there exist such that for all satisfies the following:
-
(i)
if and only if ;
-
(ii)
;
-
(iii)
.
Then, is called a -metric space with coefficient .
Definition 1.2
bm6 Let be a -metric space. Then:
-
(i)
A sequence in is said to be convergent if there is such that
-
(ii)
A sequence in is said to be cauchy in if exists and is finite;
-
(iii)
is said to be complete if for every Cauchy sequence in there is such that
-
(iv)
A function is said to be -continuous if for , in we have in .
Following bm14 , denotes the set of all mappings satisfies the following properties:
is increasing;
for each sequence
there exist and such that
Further, Ahmad et al. bm13 replaced the condition with the following:
is continuous.
The symbol denotes the collection of all mappings satisfying conditions .
Accordingly, authors in bm13 established the following Fixed Point Theorem:
Theorem 1.3
Every -contraction on a complete metric space has a unique fixed point.
Recently, Cho in bm5 introduced the -simulation function as follows:
Definition 1.4
A map from to defines a -simulation function if for all , satisfies the following properties:
-
(i)
-
(ii)
for all ;
-
(iii)
if and are sequences in such that , then .
By we denote the family of all -simulation functions.
Hasanuzzaman et al. bm12 introduced the -contraction in metric space as follows:
Definition 1.5
Let be a metric space. Then is called -contraction with respect to if there exist and such that
for all with .
Inspired by Cho’s work bm5 on -contractions in metric spaces and the contributions of Gupta and Rohilla bm9 on simulation functions in -metric spaces, this article introduces the concept of -simulation functions. To underscore the importance and applicability of this concept, fixed point theorems are developed and substantiated with a comprehensive example that demonstrates its practical relevance.
2 Fixed Point Theorems Using -Contractions
This section begins by introducing the essential definitions and notations that underpin the theorems and proofs presented.
Let denote the class of all the operators such that for all , satisfying the following properties:
-
(i)
is continuous;
-
(ii)
;
-
(iii)
implies that either or ;
-
(iv)
there exist such that implies that and
Example 2.1
. Here .
We define -simulation function in the following:
Definition 2.2
A map from to defines a -simulation function if there exist , and such that for all , satisfying the following properties:
-
(i)
;
-
(ii)
if and are sequences in such that
and
then .
Let denote the set of all -simulation functions.
Example 2.3
Define , and by
Note that , for all and . Further, If and are sequences in such that
and
then .
Since . Thus is a -simulation function.
Definition 2.4
An operator from to defines a -contraction if there exist such that for all with implies
(2.1) |
Theorem 2.5
Let be a complete -metric space with coefficient and be a given mapping. Suppose that is a -contraction. Then has a unique fixed point.
Proof 2.6.
Let and define , for all . If then becomes fixed point of . From this point onward, we can consider that for all . Put in inequality then
(2.2) | ||||
Thus, by the property of , we get . Let us suppose that . As is increasing, , which is a contradiction. Thus, , for all So, is a decreasing sequence of positive real numbers; hence . We will show that Suppose then . Let , then
and
hence by the property of , we get
Also, by inequality , , which leads to a contradiction. Hence
Now, we aim to prove that is a Cauchy sequence. Let us suppose that is not a Cauchy sequence in . Then, there exist and subsequences and of sequence such that is the smallest integer for which with
(2.3) |
Now, , which implies that
(2.4) |
Note that as . Substitute in inequality , we get
(2.5) | ||||
which implies
. Let it be the case that
As is increasing, which leads to a contradiction. Also,
. Thus, using inequality and taking limit superior and limit inferior as goes to infinity, we get
(2.6) |
Using inequalities , and , we have
and | |||
Therefore, in light of the property of , we have
Also, by inequality , we get which leads to a contradiction.
Hence, .
Since is a complete -metric space,
We will show that is the unique fixed point of . Suppose and for infinitely many . Substitute and in inequality , we get
hence, by the property of , we get . Assume . As is increasing, , which is a contradiction. Thus, , which implies that Now, which on applying limit, gives . Finally, we will prove the uniqueness of the fixed point. Suppose be the another fixed point such that . Then . On substituting and in inequality , we have
which is a contradiction. Hence becomes the unique fixed point.
Example 2.7.
Let . Define given by
for all ,
,
,
Clearly, is a complete -metric space with coefficient
Also, define , and by
Note that , for all and . Further, If and are sequences in such that
and
then .
As Hence, . Thus is a -simulation function. Moreover, define by
We will now verify that is a -contraction. Note that
hence if and only if and . Now, if and then and Further, for all with we have
Hence, is a -contraction. By Theorem , has a unique fixed point .
Theorem 2.8.
Let be a complete b-metric space with coefficient and be a -continuous self-mapping. Suppose , and satisfies
(2.7) |
for all . Then has a unique fixed point.
Proof 2.9.
Proceeding in the similar manner as the proof of Theorem , substitute in inequality , we get
Let , Then Using the property of , it follows that using the property of , it follows that . Considering that . As is increasing, , which leads to a contradiction. Hence, . Further, . Thus, is a decreasing sequence of positive reals; hence . Following the steps in Theorem , we get Now, we aim to prove that is a Cauchy sequence. Assume on contrary, that there exists an such that subsequences and of sequence such that is the smallest integer for which
Now, , which implies that
(2.8) |
Note . Substitute and in inequality , we get
(2.9) | ||||
By the property of , we have
Suppose
As is increasing,
, which is a contradiction. Hence, Now, consider the following three cases:
Case : If or holds for infinitely many then , which is contrary to inequality .
Case : If holds for infinitely many then it follows from Theorem , is a Cauchy sequence.
Case : Let . If holds for infinitely many then .
Hence . Also, hence, By inequality and , we get
and
Hence by the property of , we get
which is a contradiction to the inequality . Hence is a Cauchy sequence.
Since is complete -metric space,
We will prove that becomes the unique fixed point of . Also, Using continuity of and , we get Hence, becomes the fixed point of Let be another fixed point of such that . On substitution of and in inequality , we have
which is a contradiction. Hence becomes the unique fixed point.
Example 2.10.
Let . Define given by
for all ,
,
,
Clearly, is a complete -metric space with coefficient
Also, define , and by
Note that , for all and . Further, If and are sequences in such that
and
then .
As Hence, . Thus is a -simulation function. Moreover, define by
We will now verify that is a -contraction. Note that
hence if and only if and . Now, consider the following cases:
Case 1: if and then
where . Hence, is a -contraction.
Case if , and , then
where . Hence, is a -contraction.
Case if , and , then
where . Hence, is a -contraction.
Therefore, in all cases, is a -contraction.
So, by Theorem , has a unique fixed point .
Remark 2.11.
Only increasing property of and property of is used throughout.
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