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Article

On Weak Probabilistic φ-Contractions in Menger Probabilistic Metric Spaces

School of Mathematics and Information Science, Guangxi University, Nanning 530004, China
*
Author to whom correspondence should be addressed.
Axioms 2025, 14(9), 658; https://doi.org/10.3390/axioms14090658
Submission received: 2 July 2025 / Revised: 21 August 2025 / Accepted: 26 August 2025 / Published: 27 August 2025

Abstract

Two new concepts are introduced in this paper: ZH-set and weak probabilistic φ -contraction. Firstly, a fixed-point theorem for weak probabilistic φ -contraction is given in Menger probabilistic metric spaces, which generalizes and unifies several results in the existing literature. Then, a best proximity point theorem is obtained. Finally, two examples are provided to prove the effectiveness of our results.

1. Introduction

Fixed-point theory is a very important branch of modern mathematics. Since the publication of Banach fixed-point theorem, research on fixed-point theory has been extremely rich both in theory and in application. Banach first obtained fixed points on k-contraction in complete metric spaces. Since then, scholars have obtained abundant fixed-point theorems in different spaces with different contraction conditions.
Menger probabilistic metric spaces (abbreviated as MPM spaces), a core concept in the theory of probabilistic metric spaces, was proposed by Karl Menger in 1942 [1]. It aims to generalize the concept of traditional metric spaces to a probabilistic framework, enabling a more flexible description of distance relationships in uncertain environments.
Sehgal provided the Banach-type fixed point theorem in MPM spaces for the first time [2]. Since then, various researchers have delved into probabilistic φ -contractions and derived several fixed-point theorems in MPM spaces. However, due to the complexity of MPM space, strong conditions are often attached in order to obtain fixed points, one of which is that φ fulfilled n = 1 φ n ( s ) < for all s > 0 . Weakening the additional conditions in probabilistic φ -contraction, or more precisely reducing the requirements for the φ function, has become a direction of researchers’ efforts.
C ´ iri c ´ [3] positively attempted to modify the assumptions regarding the function φ . C ´ iri c ´ obtained a fixed-point theorem under the condition: φ ( 0 ) = 0 , φ ( s ) < s and lim z s + sup φ ( z ) < s for all s > 0 .
Later, Jachymski [4] obtained the same result under the condition: 0 < φ ( s ) < s and lim n φ n ( s ) = 0 for all s > 0 , where φ n ( s ) denotes the nth iteration of φ .
Fang [5] relaxed restrictions on the function φ as well. Fang [5] obtained the fixed-point result under the condition that ϕ satisfied the following: for s > 0 there exists z s , such that lim n ϕ n ( z ) = 0 holds.
In [6], Choudhury and Das discussed a new kind of contraction, and the functions they used were as follows ϕ : [ 0 , ) [ 0 , ) , which is a strictly increasing function satisfying the following conditions: it is left-continuous at every point in its domain, in particular, it is continuous at 0; its minimum and maximum function values can be taken to 0 and infinity, respectively. The concept of control functions has paved the way for establishing novel fixed point outcomes within MPM spaces. Literatures that utilize the ϕ -function include [7,8,9,10]. In the aftermath, a number of alternative control functions have been employed in issues concerning fixed points within PM spaces, with examples such as [3,5,11].
Mihet and Zaharia [12] investigated the existence of fixed points for several classes of probabilistic φ -contractions under Fang-type conditions. They also raised several open questions, one of which is whether the result of Jachymski is equivalent to that of Fang?
Alegre and Romaguera [13], and Gregori et al. [14] proved the above equivalence using different methods. In their work, they used sets
A = { s > 0 | lim n φ n ( s ) = 0 }
or
A = { s > 0 | lim n φ n ( s ) 0 } ,
where A is the complement of set A. It can be seen from their work that set A plays an important role.
Taking inspiration from set A, we propose a new concept in this paper, called ZH-set, which plays a vital role in the definition of weak probabilistic φ -contraction.
We notice that a probabilistic φ -contraction involves the following three aspects:
(i)
Two sets: X and [ 0 , ) ;
(ii)
Two mappings: T : X X and φ : [ 0 , ) [ 0 , ) ;
(iii)
The bridge to connect the above two sets and two mappings:
F T w , T v ( φ ( s ) ) F w , v ( s ) for all w , v X and s ( 0 , ) .
In this paper, we introduce a “small” set, which we call ZH-set. The reason we say it is a “small” set is because sometimes the elements contained in the set are relatively little, and sometimes its Lebesgue measure may be 0.
We use the ZH-set—the set P—to replace [ 0 , ) , and then define a weak probabilstic φ -contraction, which involves the following three aspects:
(i )
Two sets: X and P;
(ii )
Two mappings: T : X X and φ : P P ;
(iii )
The bridge to connect the above two sets and two mappings:
F T w , T v ( φ ( s ) ) F w , v ( s ) for all w , v X and s P { 0 } .
Because P is relatively small, the mapping φ : P P is relatively simple. Thus, the relational formula F T w , T v ( φ ( s ) ) F w , v ( s ) which is difficult to be verified and satisfied in the whole scope is relatively easy to be verified and satisfied. In fact, in this paper, the condition “ 0 < φ ( s ) < s and lim n φ n ( s ) = 0 for all s > 0 ” can be weakened to the condition “ lim n φ n ( s ) = 0 for s P { 0 } , where P [ 0 , ) is a ZH-set.”

2. Preliminaries

Throughout this paper, let R = ( , + ) . We define D + as the space of all mappings F : R [ 0 , 1 ] , such that F is left-continuous, non-decreasing on R, satisfies F ( 0 ) = 0 , and F ( + ) = lim w + F ( w ) = 1 .
A triangular norm (for a short t-norm) is a binary operation : [ 0 , 1 ] × [ 0 , 1 ] [ 0 , 1 ] , which is commutative, associative, and monotone and has 1 as the unit element. Basic examples are as follows:
  • The Łukasiewicz t-norm: L ( a , b ) = max ( a + b 1 , 0 )
  • The product t-norm: P ( a , b ) = a b
  • The minimum t-norm: M ( a , b ) = min { a , b }
The minimum t-norm M is the strongest t-norm, that is, M ( w , v ) ( w , v ) for each w , v [ 0 , 1 ] and each t-norm ⋄.
If ⋄ is a t-norm, then n ( s ) is defined for every s [ 0 , 1 ] and n N as 1 if n = 0 and n ( s ) = ( n 1 ( s ) , s ) if n 1 . A t-norm ⋄ is said to be of H-type if the family { n ( s ) : n N } is equicontinuous at s = 1 . Obviously, the minimum M is a t-norm of H-type, in addition, there are a large number of t-norms of H-type (see [15] for details).
Definition 1
([15]). A Menger probabalistic metric space (MPM space) is a triple ( M , F , ) , where M is a nonempty set, is a t-norm, and F is a mapping from M × M to D + , where ( F ( w , v ) is denoted by F w , v ) , satisfying the following conditions:
(PM1) F w , v ( s ) = 1 for all s > 0 if w = v ,
(PM2) F w , v ( s ) = F v , w ( s ) for all w , v M ,
(PM3) F w , u ( s + t ) ( F w , v ( s ) , F v , u ( t ) ) for w , v , u M , s , t 0 .
Definition 2
([15]). Let ( M , F , ) be an MPM space.
(1) 
A sequence { w n } M converges to some point w M , if and only if lim n F w n , w ( s ) = 1 for all s > 0 .
(2) 
A sequence { w n } M is called Cauchy if and only if lim n , m F w n , w m ( s ) = 1 for all s > 0 .
(3) 
An MPM space ( M , F , ) is said to be complete if every Cauchy sequence in M is convergent.
Definition 3
([15]). Let ( M , F , ) be an MPM space. T : M M is called a probabilistic φ-contraction if it satisfies
F T w , T v ( φ ( s ) ) F w , v ( s )
for all w , v M and s > 0 , where φ : [ 0 , + ) [ 0 , + ) is a function satisfying certain conditions.
Definition 4
([16]). The distance of a point w M from a non-empty set V for s > 0 is defined as
F w , V ( s ) = sup v V F w , v ( s ) ,
and the distance between two non-empty sets W and V for s > 0 is defined as
F W , V ( s ) = sup { F a , b ( s ) : w W , v V } .
Definition 5.
Let ( W , V ) be a pair of non-empty subsets of an MPM space ( M , F , ) . Let P be a ZH-set. Then, the pair ( W , V ) is said to have the S-property if and only if for w 1 , w 2 W and v 1 , v 2 V , satisfying
F w 1 , v 1 ( s ) = F W , V ( s ) and F w 2 , v 2 ( s ) = F W , V ( s ) for all s P ,
implies that F w 1 , w 2 ( s ) = F v 1 , v 2 ( s ) for all s P .

3. Main Results

Definition 6.
A set P [ 0 , + ) is said to be a ZH-set if for each n N there exists p 1 , p 2 P , such that p 1 n and p 2 1 / n . Equivalently, P contains a pair of sequences, say { w n } n N and { v n } n N , such that lim n w n = 0 and lim n v n = .
Example 1.
Let P = [ 0 , + ) , then P is a ZH-set.
Example 2.
Let P 1 = N { 0 } , P 2 = N { 1 n : n N } , P 3 = { m + 1 n : m , n N } , then P 1 , P 2 , P 3 are ZH-sets. It is obvious that P 1 , P 2 , P 3 are countable and u ( P i ) = 0 for i = 1 , 2 , 3 , where u is the Lebesgue measure.
Definition 7.
A function φ : P P is said to be a weak gauge function if P [ 0 , + ) is a ZH-set and lim n φ n ( p ) = 0 for each p P .
Example 3.
Let P = P 1 = N { 0 } and φ : P P be defined by
φ ( p ) = p 1 , i f   p > 1 0 , i f   p = 1 ,
then φ is a weak gauge function.
Example 4.
Let P = P 2 = N { 1 n : n N } and φ : P P defined by
φ ( p ) = n 1 , i f   p = n 2 1 n + 1 , i f   p = 1 n ,
then φ is a weak gauge function.
Denote Ψ ( P ) as the class of weak gauge functions for a ZH-set P.
Definition 8.
Let ( M , F , ) be an MPM space. A mapping T : M M is called a weak probabilistic φ-contraction if there exists a ZH-set P and φ Ψ ( P ) , such that
F T w , T v ( φ ( s ) ) F w , v ( s )
for w , v M and s P { 0 } .
The following lemma plays a crucial role in the proof of our main results.
Lemma 1.
Let ( M , F , ) be an MPM space and T : M M be a weak probabilistic φ-contraction for φ Ψ ( P ) , where P is a ZH-set. Then, for each s > 0 and s 0 P { 0 } , there exists n 0 N , such that
(i) 
φ n 0 + 1 ( s 0 ) < φ n 0 ( s 0 ) < s ;
(ii) 
φ n ( s 0 ) < s as n n 0 .
Proof. 
Firstly, we show that for s 0 P { 0 } and n N , φ n ( s 0 ) > 0 .
Conversely, suppose that there exists n N , such that lim n φ n ( s 0 ) = 0 , then
0 = F T n w , T n w ( 0 ) = F T n w , T n w ( φ n ( s 0 ) ) F T n 1 w , T n 1 w ( φ n 1 ( s 0 ) ) F w , w ( s 0 ) = 1 ,
which is a contradiction.
Secondly, since lim n φ n ( s 0 ) = 0 , then for each s > 0 , there exists n 1 N , such that when n n 1 , φ n ( s 0 ) < s .
We claim there exists n 0 n 1 , such that φ n 0 + 1 ( s 0 ) < φ n 0 ( s 0 ) .
Suppose that for n n 1 , φ n + 1 ( s 0 ) φ n ( s 0 ) . Then, we have
lim n φ n ( s 0 ) φ n 1 ( s 0 ) > 0 ,
which is a contradiction. Thus, for each s > 0 and s 0 P { 0 } , there exists n 0 N , such that
(i)
φ n 0 + 1 ( s 0 ) < φ n 0 ( s 0 ) < s ;
(ii)
φ n ( s 0 ) < s as n n 0 .
Theorem 1.
Let ( M , F , ) be a complete MPM-space with of H-type and T : M M is a weak probabilistic φ-contraction for some ZH-set P with φ Ψ ( P ) . Then, T is a Picard mapping.
Proof. 
Let w 0 M be an arbitrary point, we define the sequence { w n } in M by w n = T n w 0 for all n N . If w n + 1 = w n for some n N , then T has a fixed point. Therefore, in the following proof, we can suppose w n + 1 w n for each n N .
We complete the proof by the following five steps.
Step 1. We show that for s > 0 ,
lim n F w n , w n + 1 ( s ) = 1 .
Fix s > 0 and let ϵ ( 0 , 1 ] . Since lim s F w 0 , w 1 ( s ) = 1 , there exists s 0 P , such that F w 0 , w 1 ( s 0 ) > 1 ϵ .
For s > 0 and s 0 P , by Lemma 1, there exists n 0 N , such that when n n 0 , φ n ( s 0 ) < s . Then
F w n , w n + 1 ( s ) F w n , w n + 1 ( φ n ( s 0 ) ) F w 0 , w 1 ( s 0 ) > 1 ϵ ,
thus we have lim n F w n , w n + 1 ( s ) = 1 .
Step 2.
F w n , w n + k ( φ n 0 ( s 0 ) ) k 1 ( F w n , w n + 1 ( φ n 0 ( s 0 ) φ n 0 + 1 ( t 0 ) ) )
for k N , where s 0 P , φ n 0 + 1 ( s 0 ) < φ n 0 ( s 0 ) .
It is obvious for k = 1 , since
F w n , w n + 1 ( φ n 0 ( s 0 ) ) F w n , w n + 1 ( φ n 0 ( s 0 ) φ n 0 + 1 ( s 0 ) ) = 0 ( F w n , w n + 1 ( φ n 0 ( s 0 ) φ n 0 + 1 ( s 0 ) ) ) .
Assume that (3) holds for some k, then
F w n , w n + k + 1 ( φ n 0 ( s 0 ) ) = F w n , w n + k + 1 ( φ n 0 ( s 0 ) φ n 0 + 1 ( s 0 ) + φ n 0 + 1 ( s 0 ) ) ( F w n , w n + 1 ( φ n 0 ( s 0 ) φ n 0 + 1 ( s 0 ) ) , F w n + 1 , w n + k + 1 ( φ n 0 + 1 ( s 0 ) ) ) ( F w n , w n + 1 ( φ n 0 ( s 0 ) φ n 0 + 1 ( s 0 ) ) , F w n , w n + k ( φ n 0 ( s 0 ) ) ) ( F w n , w n + 1 ( φ n 0 ( s 0 ) φ n 0 + 1 ( s 0 ) ) , k 1 ( F w n , w n + 1 ( φ n 0 ( s 0 ) φ n 0 + 1 ( s 0 ) ) ) = k ( F w n , w n + 1 ( φ n 0 ( s 0 ) φ n 0 + 1 ( s 0 ) ) ) .
Step 3. { w n } is a Cauchy sequence in M.
For s > 0 , as proved in Lemma 1, we can find s 0 P and n 0 , such that,
φ n 0 + 1 ( s 0 ) < φ n 0 ( s 0 ) < s .
Then,
F w n , w n + k ( s ) F w n , w n + k ( φ n 0 ( s 0 ) ) k 1 ( F w n , w n + 1 ( φ n 0 ( s 0 ) φ n 0 + 1 ( s 0 ) ) ) .
Let ϵ ( 0 , 1 ] , since { n ( s ) } is equicontinuous at s = 1 and n ( 1 ) = 1 , so there exists δ > 0 , such that
n ( s ) > 1 ϵ   f o r   a l l   s ( 1 δ , 1 ] a n d   n N .
By step 1, we have that
lim n F w n , w n + 1 ( φ n 0 ( s 0 ) φ n 0 + 1 ( s 0 ) ) = 1 .
Thus, there exists n 1 > n 0 , such that
F w n , w n + 1 ( φ n 0 ( s ) φ n 0 + 1 ( s ) ) > 1 δ
for all n > n 1 . It follows from (4) that
F w n , w n + k ( s ) k 1 ( F w n , w n + 1 ( φ n 0 ( s ) φ n 0 + 1 ( s ) ) ) > 1 ϵ
for all n > n 1 and k N .
Thus, { w n } is a Cauchy sequence in M.
Step 4. T has a fixed point.
Since M is complete and { w n } is a Cauchy sequence in M, there exists a w * M , such that lim n F w n , w * ( s ) = 1 for s > 0 . For s > 0 , as proved in Lemma 1, we can find s 0 P and n 0 , such that
φ n 0 + 1 ( s 0 ) < φ n 0 ( s 0 ) < s .
Then
F w * , T w * ( s ) F w * , T w * ( φ n 0 ( s 0 ) ) ( F w * , w n + 1 ( φ n 0 ( s 0 ) ) φ n 0 + 1 ( s 0 ) ) , F w n + 1 , T w * ( φ n 0 + 1 ( s 0 ) ) ) ( F w * , w n + 1 ( φ n 0 ( s 0 ) φ n 0 + 1 ( s 0 ) ) , F w n , w * ( φ n 0 ( s 0 ) ) ) ( b n , b n ) ,
where b n = min { F w * , w n + 1 ( φ n 0 ( s 0 ) φ n 0 + 1 ( s 0 ) ) , F w n , w * ( φ n 0 ( s 0 ) ) } .
Since lim n b n = 1 and ⋄ is continuous, passing n , we obtained F w * , T w * ( s ) = 1 for all s > 0 .
Thus, T w * = w * .
Step 5. T has at most one fixed point.
Suppose, on the contrary, that there exists another fixed point v * of T, such that T w * = w * T v * = v * . Then, there exists s 1 > 0 such that F w * , v * ( s 1 ) < 1 . Since lim t F w * , v * ( s ) = 1 , there exists s 0 P and s 0 > s 1 , such that
F w * , v * ( s 0 ) > F w * , v * ( s 1 ) .
By Lemma 1, there exists n 0 N , such that φ n 0 ( s 0 ) < s 1 .
Then, we have
F w * , v * ( s 1 ) F w * , v * ( φ n 0 ( s 0 ) ) F w * , v * ( s 0 ) > F w * , v * ( s 1 ) ,
which is a contradiction. Therefore, the fixed point of T is unique. □
Next, we will demonstrate the generality and validity of our results. First of all, we prove that many existing results can be obtained by our theorem.
Theorem 2
([4]). Let ( M , F , ) be a complete MPM space with of H-type and φ : [ 0 , ) [ 0 , ) be a function such that 0 < φ ( s ) < s and lim n φ n ( s ) = 0 for all s > 0 . If T is a probabilistic φ-contraction, then T is a Picard mapping.
Proof. 
Let P = [ 0 , ) , It clearly satisfies all the conditions in Theorem 1. □
Theorem 3
([5]). Let ( M , F , ) be a complete MPM space with of H-type and ϕ : [ 0 , ) [ 0 , ) satisfying: for s > 0 there exists z s , such that
lim n ϕ n ( z ) = 0
holds. If T is a probabilistic ϕ-contraction, then T is a Picard mapping.
Proof. 
Let P = { r : lim n ϕ n ( r ) = 0 } , then P is a ZH-set by the property (5) of ϕ .
Define φ : P P by φ ( p ) = ϕ ( p ) for p P , then φ is well-defined and φ Ψ ( P ) . In fact, for p P , by the definition of P, lim n ϕ n ( p ) = 0 , then
lim n ϕ n ( φ ( p ) ) = lim n ϕ n ( ϕ ( p ) ) = lim n ϕ n + 1 ( p ) = 0 .
Thus, φ ( p ) P ,
φ 2 ( p ) = φ ( φ ( p ) ) = ϕ ( φ ( p ) ) = ϕ ( ϕ ( p ) ) = ϕ 2 ( p ) .
We can obtain φ n ( p ) = ϕ n ( p ) for n N in a similar way.
So, lim n φ n ( p ) = lim n ϕ n ( p ) = 0 . Thus, φ Ψ ( P ) .
Since F T w , T v ( ϕ ( s ) ) F w , v ( s ) for all s > 0 , in particular,
F T w , T v ( ϕ ( s ) ) F w , v ( s ) for all s P { 0 } .
That is F T w , T v ( φ ( s ) ) F w , v ( s ) for all s P { 0 } . So, T is a weak probabilistic φ -contraction. Therefore, we can apply Theorem 1 and thus T is a Picard mapping. □
In [6], Choudhury and Das defined a function ϕ as follows:
Definition 9
([6]). A function ϕ : [ 0 , ) [ 0 , ) is said to be a type of special function if it satisfies the following conditions:
(i) 
ϕ ( t ) = 0 if and only if t = 0 .
(ii) 
ϕ is strictly increasing and ϕ ( t ) as t .
(iii) 
ϕ is left-continuous in ( 0 , ) .
(iv) 
ϕ is continuous at 0.
The main result in [6] is described as follows: Let ( M , F , M ) be a complete MPM space with M = min { a , b } and T : M M satisfies the following conditions:
F T w , T v ( ϕ ( c s ) ) F w , v ( ϕ ( s ) )
for w , v M and s > 0 , c ( 0 , 1 ) , where ϕ : [ 0 , ) [ 0 , ) is a special function satisfying Definition 9. Then, T has a unique fixed point.
At the end of the paper [6], Choudhury and Das put forward an open question: Is the above result true for other t-norms? We provide a more general theorem than the above result by Theorem 1, thus providing at least a partial answer to this question.
Theorem 4.
Suppose ( M , F , ) is a complete MPM-space, is a t-norm of H-type. Suppose that T : M M satisfies:
F T w , T v ( ϕ ( c s ) ) F w , v ( ϕ ( s ) )
for w , v M , s > 0 , where ϕ is as described in Definition 9, c ( 0 , 1 ) , then, T is a Picard mapping.
Proof. 
Let P = { ϕ ( s ) : s [ 0 , + ) } , then P is a ZH-set by the properties of ϕ in Definition 9.
Define φ : P P by φ ( p ) = ϕ ( c ϕ 1 ( p ) ) for p P , then φ is well-defined and φ Ψ ( P ) . In fact, for p P , by the definition of P, φ ( p ) P ,
φ 2 ( p ) = φ ( φ ( p ) ) = ϕ ( c ϕ 1 ( φ ( p ) ) ) = ϕ ( c ϕ 1 ( ϕ ( c ϕ 1 ( p ) ) ) ) = ϕ ( c 2 ϕ 1 ( p ) ) .
We can obtain φ n ( p ) = ϕ ( c n ϕ 1 ( p ) ) for n N in a similar way.
By the properties of ϕ , lim n ϕ ( c n ϕ 1 ( p ) ) = 0 . So,
lim n φ n ( p ) = lim n ϕ n ( p ) = 0 .
Thus, φ Ψ ( P ) .
Since F T w , T v ( ϕ ( c s ) ) F w , v ( ϕ ( s ) ) for all s > 0 is equivalent to F T w , T v ( ϕ ( c ϕ 1 ( t ) ) F w , v ( t ) for t = ϕ ( s ) P , that is
F T w , T v ( φ ( t ) ) F w , v ( t ) for all t P { 0 } .
So, T is a weak probabilistic φ -contraction. Therefore, we can apply Theorem 1 and thus T is a Picard mapping. □
Example 5.
Let M = [ 0 , ) and define F : M × M D + as follows:
F ( w , v ) ( s ) = F w , v ( s ) = s s + σ ( w , v ) , if σ ( w , v ) s , 1 , if σ ( w , v ) < s .
Then ( M , F , M ) is a complete MPM space (see Example in [5]), where σ ( w , v ) = | w v | .
Let T : M M be defined by T w = w 1 + w . Firstly, we show that T is not the Sehgal contraction. Suppose, on the contrary, that there exists k ( 0 , 1 ) , such that F T w , T v ( k s ) F w , v ( s ) for all w , v M and s > 0 .
Let w = 1 n , v = 1 2 n , s = 1 4 n , then when n > 1
σ ( w , v ) = 1 2 n > 1 4 n = s , σ ( T w , T v ) = 1 2 n ( 1 + 1 n ) ( 1 + 1 2 n ) > k 4 n = k s .
By (6), we have
F w , v ( s ) = s s + σ ( w , v ) = 1 4 n 1 4 n + 1 2 n
F T w , T v ( k s ) ) = k s k s + σ ( T w , T v ) = k 4 n k 4 n + 1 2 n ( 1 + 1 n ) ( 1 + 1 2 n ) .
Since F T w , T v ( k s ) F w , v ( s ) , we have
k 4 n k 4 n + 1 2 n ( 1 + 1 n ) ( 1 + 1 2 n ) 1 4 n 1 4 n + 1 2 n .
After a simple calculation, we obtain
k 1 ( 1 + 1 n ) ( 1 + 1 2 n ) .
Passing limit as n , we have k 1 , which is a contradiction. Thus, T is not the Sehgal contraction.
Let P = [ 0 , + ) Q , where Q is the set of all rational numbers. Let φ : P P be defined by
φ ( s ) = s 1 + s , s [ 0 , 1 ) Q , 13 6 , s [ 1 , 2 ] Q , s 4 3 , s [ 2 , + ) Q .
We now show that T is a weak probabilistic φ-contraction, i.e., T satisfies (1).
Let s P . If σ ( T w , T v ) = | T w T v | < φ ( s ) , then we have F T w , T v ( φ ( s ) ) = 1 F w , v ( s ) , (1) holds. Suppose that σ ( T w , T v ) = | T w T v | φ ( s ) . From (7), it is easy to see that
φ ( s ) s 1 + s for all s [ 0 , + ) Q ,
thus σ ( T w , T v ) s 1 + s . Note that
σ ( T w , T v ) = | w v | 1 + w + v + w v σ ( w , v ) 1 + σ ( w , v ) .
We obtain s 1 + s σ ( w , v ) 1 + σ ( w , v ) , which implies that σ ( w , v ) s since the function h ( t ) = t 1 + t is strictly increasing on [ 0 , ) . By (6), we have F w , v ( s ) = s s + σ ( w , v ) . Thus,
F T w , T v ( φ ( s ) ) = φ ( s ) φ ( s ) + σ ( T w , T v ) s 1 + s s 1 + s + σ ( w , v ) 1 + σ ( w , v ) s s + σ ( w , v ) = F w , v ( s ) ,
i.e., (1) holds. This shows that all the conditions of Theorem 1 are satisfied. By Theorem 1, we conclude that T has a unique fixed point w * in M. Indeed, w = 0 is a unique fixed point of T. However, Theorem 2 in [4] cannot be applied to this example because the φ defined by (7) does not meet the conditions φ ( s ) < s for all s > 0 since φ ( 1 ) = 13 6 > 1 .
Lemma 2
([17]). Let W and V be two non-empty subsets of a PM-space ( M , F , ) , then F W , V ( s ) is a distribution function.
Then, we define a novel weak contraction.
Definition 10.
Let ( M , F , ) be a MPM-space and W , V be two disjoint non-empty subsets of M. Let P be a ZH-set and ϕ Ψ ( P ) . A non-self mapping T : W V is called weak ϕ-proximal contraction if
F T w , T v ( ϕ ( t ) ) F w , v t ,
where w , v W , s P .
Definition 11.
Let W and V be two non-empty subsets of PM-space ( M , F , ) . Let P be a ZH-set. We define W P and V P as follows:
W P = w W : v V such that F w , v ( s ) = F W , V ( s ) for all s P ,
V P = v V : w W such that F w , v ( s ) = F W , V ( s ) for all s P .
Theorem 5.
Let ( M , F , ) be a complete MPM-space with of H-type and W , V be two non-empty disjoint subsets of M where W is closed. Let P be a ZH-set and ϕ Ψ ( P ) . Let T : W V be a weak ϕ-proximal contraction mapping which satisfies the following conditions:
(i) 
T ( W P ) V P and ( W , V ) satisfies the S-property,
(ii) 
there exist w 0 , w 1 W P , such that F w 1 , T w 0 ( s ) = F W , V ( s ) for all s P .
Then, there exists an element w * W such that F w * , T w * ( s ) = F W , V ( t ) for all s > 0 , that is, T has a best proximity point.
Proof. 
From the hypothesis, it can be known that the existence of w 0 , w 1 W P , such that
F w 1 , T w 0 ( s ) = F W , V ( s ) for all s P
holds. Due to T ( W P ) V P , there exists w 2 W P , such that
F w 2 , T w 1 ( s ) = F W , V ( s )
holds. So, for all s P ,
F w 1 , T w 0 ( s ) = F W , V ( s ) and F w 2 , T w 1 ( s ) = F W , V ( s ) .
Due to T ( W P ) V P , there exists w 3 W P , such that
F w 3 , T w 2 ( s ) = F W , V ( s ) .
holds. So, for all s P ,
F w 2 , T w 1 ( s ) = F W , V ( s ) and F w 3 , T w 2 ( s ) = F W , V ( s ) .
After performing n steps in this way, we have for all s P ,
F w n , T w n 1 ( s ) = F W , V ( s ) ,
and
F w n + 1 , T w n ( s ) = F W , V ( s ) for all s P .
Due to the fact that ( W , V ) has the S-property, we obtain from (9) and (10), for all s P ,
F w n , w n + 1 ( s ) = F T w n 1 , T w n ( s ) for all s P .
Since T is a weak ϕ -proximal contraction, we have for all s P ,
F w n , w n + 1 ( ϕ ( s ) ) = F T w n 1 , T w n ( ϕ ( s ) ) F w n 1 , w n s ) .
We claim that { w n } is a Cauchy sequence. Firstly, we prove that for s > 0 ,
lim n F w n , w n + 1 ( s ) = 1 .
Fix s > 0 and let ϵ ( 0 , 1 ] . Since lim s F w 0 , w 1 ( s ) = 1 , there exists s 0 P , such that F w 0 , w 1 ( s 0 ) > 1 ϵ .
For s > 0 and s 0 P , by Lemma 1, the existence of n 0 N , such that φ n ( s 0 ) < s holds, when n n 0 . Then,
F w n , w n + 1 ( s ) F w n , w n + 1 ( φ n ( s 0 ) ) F w 0 , w 1 ( s 0 ) > 1 ϵ ,
thus we have
lim n F w n , w n + 1 ( s ) = 1 .
Secondly, as proof in Theorem 1,
F w n , w n + k ( φ n 0 ( s 0 ) ) k 1 ( F w n , w n + 1 ( φ n 0 ( s 0 ) φ n 0 + 1 ( s 0 ) ) )
for k N , where s 0 P , φ n 0 + 1 ( s 0 ) < φ n 0 ( s 0 ) .
Thirdly, for s > 0 , as proved in Lemma 1, we can find s 0 P and n 0 , such that, φ n 0 + 1 ( s 0 ) < φ n 0 ( s 0 ) < s . Then
F w n , w n + k ( s ) F w n , w n + k ( φ n 0 ( s 0 ) ) k 1 ( F w n , w n + 1 ( φ n 0 ( s 0 ) φ n 0 + 1 ( s 0 ) ) ) .
Let ϵ ( 0 , 1 ] , since { n ( s ) } is equicontinuous at s = 1 and n ( 1 ) = 1 , so there exists δ > 0 , such that
n ( s ) > 1 ϵ   for   all   s ( 1 δ , 1 ]   and   n N .
From the foregoing description, we have that
lim n F w n , w n + 1 ( φ n 0 ( s 0 ) φ n 0 + 1 ( s 0 ) ) = 1 .
Thus, there exists n 1 > n 0 , such that
F w n , w n + 1 ( φ n 0 ( s ) φ n 0 + 1 ( s ) ) > 1 δ
for all n > n 1 . It follows from (12) that
F w n , w n + k ( s ) k 1 ( F w n , w n + 1 ( φ n 0 ( s ) φ n 0 + 1 ( s ) ) ) > 1 ϵ
for all n > n 1 and k N . Thus, { w n } is a Cauchy sequence in M. Since ( M , F , ) is complete and W is a closed subset of M, there exists w * W , such that
lim n F w n , w * ( s ) = 1 .
Since ϕ Ψ ( P ) , we can pick s 1 > 0 such that s > ϕ ( s 1 ) holds. In fact, let s 1 = φ n 0 ( s 0 ) as in Lemma 1.
According to the non-decreasing property of distribution function, we obtain,
F T w n , T w * ( s ) F T w n , T w * ( ϕ ( s 1 ) ) F w n , w * s 1 .
Passing limit as n ,
lim n F T w n , T w * ( s ) = 1 .
Let us choose λ > 0 be arbitrary, such that t > 2 λ , then
F w * , T w * ( s ) ( F w * , w n + 1 ( λ ) , F w n + 1 , T w * ( s λ ) ) ( F w * , w n + 1 ( λ ) , ( F w n + 1 , T w n ( s 2 λ ) , F T w n , T w * ( λ ) ) ) = ( F w * , w n + 1 ( λ ) , ( F W , V ( s 2 λ ) , F T w n , T w * ( λ ) ) ) ( using ( 10 ) ) .
On the above inequality, taking the limit as n and using the results of (13), (14) we have,
F w * , T w * ( s ) ( 1 , ( F W , V ( s 2 λ ) , 1 ) ) = F W , V ( s 2 λ ) .
Due to the arbitrariness of λ and the left continuity of F W , V ( s ) , we have
F w * , T w * ( s ) F W , V ( s ) ,
this means
F w * , T w * ( s ) = F W , V ( s ) .
Example 6.
Let M = [ 0 , ) and define F : M × M D + as follows:
F ( w , v ) ( s ) = F w , v ( s ) = s s + σ ( w , v ) , if σ ( w , v ) s , 1 , if σ ( w , v ) < s .
Then, ( M , F , M ) is a complete MPM-space, where σ ( w , v ) = | w v | .
We consider the following disjoint closed subsets:
W = [ 3 , 4 ] , V = [ 0 , 3 4 ] .
Let T : W V be defined by T w = w 1 + w . Then, F W , V ( s ) = s s + 9 4 for all s > 0 .
Note that W P = { 3 } , V P = { 3 4 } and T ( W P ) V P .
For the only point 3 W and the only point 3 4 V , F 3 , 3 4 ( s ) = s s + 9 4 = F W , V ( s ) for all s > 0 .
Therefore, ( W , V ) satisfies the S-property.
Let P = [ 0 , + ) Q , where Q is the set of all rational numbers. Let φ : P P be defined by
φ ( s ) = s 1 + s , s [ 0 , 1 ) Q , 13 6 , s [ 1 , 2 ] Q , s 4 3 , s [ 2 , + ) Q .
By the same method as in Example 5, We can show that T is a weak ϕ-proximal contraction, that is,
F T w , T v ( ϕ ( s ) ) F w , v s ,
for w , v W , s P . That means all the conditions of Theorem 5 are satisfied. By Theorem 5, it is concluded that T has a best proximity point. Indeed, 3 W is the best proximity point.

4. Conclusions

In this paper, we introduce the concept of the ZH-set, and based on it, we give the concept of weak probabilistic φ -contraction. We have proved a new fixed-point theorem for weak probabilistic contraction in Menger spaces with a t-norm of H-type, namely Theorem 1. It is worth noting that in the theorem, the contractive gauge function φ only needs to meet a quite weak condition. Therefore, this theorem improves, generalizes, and unifies some important fixed-point theorems, including the results of C ´ iri c ´ [3], Jachymski [4], Fang [5], and Choudhury and Das [6]. What is more, we obtain a best proximity point theorem.

Author Contributions

Conceptualization, D.Z. and Q.H.; Methodology, D.Z.; Software, Q.H.; Validation, D.Z. and Q.H.; Formal analysis, Q.H.; Writing—original draft preparation, D.Z.; Writing—review and editing, Q.H.; Supervision, D.Z.; Project administration, D.Z.; funding acquisition, D.Z. All authors have read and agreed to the published version of the manuscript.

Funding

This research is supported by NSFC (Nos. 11961004).

Acknowledgments

The authors would like to thank the editors and the reviewers for their thoughtful comments and constructive suggestions.

Conflicts of Interest

The authors declare no conflicts of interest.

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Zheng, D.; He, Q. On Weak Probabilistic φ-Contractions in Menger Probabilistic Metric Spaces. Axioms 2025, 14, 658. https://doi.org/10.3390/axioms14090658

AMA Style

Zheng D, He Q. On Weak Probabilistic φ-Contractions in Menger Probabilistic Metric Spaces. Axioms. 2025; 14(9):658. https://doi.org/10.3390/axioms14090658

Chicago/Turabian Style

Zheng, Dingwei, and Qingming He. 2025. "On Weak Probabilistic φ-Contractions in Menger Probabilistic Metric Spaces" Axioms 14, no. 9: 658. https://doi.org/10.3390/axioms14090658

APA Style

Zheng, D., & He, Q. (2025). On Weak Probabilistic φ-Contractions in Menger Probabilistic Metric Spaces. Axioms, 14(9), 658. https://doi.org/10.3390/axioms14090658

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