Definition 1) Menger spaceA Menger space is defined as a triple $\left( S,F,T \right)$ where S$S$ is a set , F$F$ is a collection of distribution functions and T$T$ is a triangular norm function T:$[ 0,1 $]$\times $[ 0,1 $]\to $[ 0,1 ]$T:[ 0,1 ]\times [ 0,1 ]\to [ 0,1 ]$ which has the following property properties:
$\begin{align} & ( \Delta 1 )T( a,b )=T( b,a )\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,( \text{commutativity} ) \\ & ( \Delta 2 )T( a,b )\le T( c,d )\,\text{whenever}\,a\le c,b\le d\left( \text{monotonicity} \right) \\ & \left( \Delta 3 \right)T\left( a,T\left( b,c \right) \right)=T\left( T\left( a,b \right),c \right)\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\left( \text{associativity} \right) \\ & \left( \Delta 4 \right)T\left( a,1 \right)=a\left( \text{boundary condition} \right) \\ \end{align}$$\begin{align} & ( \Delta 1 ) T( a,b )=T( b,a )\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,( \text{commutativity} ) \\ & ( \Delta 2 )T( a,b )\le T( c,d )\,\text{whenever}\,a\le c,b\le d\left( \text{monotonicity} \right) \\ & \left( \Delta 3 \right)T\left( a,T\left( b,c \right) \right)=T\left( T\left( a,b \right),c \right)\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\left( \text{associativity} \right) \\ & \left( \Delta 4 \right)T\left( a,1 \right)=a\left( \text{boundary condition} \right) \\ \end{align}$
A consequence of propertythese properties in the above definition is the following extra property :
$\begin{align} & \left( \Delta 5 \right)T\left( a,b \right)\le T\left( a,c \right)\,\text{whenever}\,b\le c(\text{obtained from }\Delta \text{2)} \\ & \left( \Delta 6 \right)T\left( a,1 \right)>0\,\text{whenever}\,a>0,T\left( 1,1 \right)=1\left( \text{obtained from }\Delta \text{4} \right) \\ & \left( \Delta 7 \right)T\left( a,b \right)\le a,T\left( a,b \right)\le b\left( \text{obtained from }\Delta \text{4},\Delta 2 \right) \\ \end{align} $
Definition 2) A sequence $\left\{ {{p}_{n}} \right\}\in S$ is called probabilistic fundamental sequencea probabilistic fundamental sequence in a probabilistic metric space $\left( S,F,T \right)$ if $\forall \varepsilon ,\lambda >0,\exists M;\forall n,m\ge M;{{F}_{{{p}_{n}},{{p}_{m}}}}$( $\varepsilon $)>1-$\lambda$
Definition 3) We say a Menger space is completecomplete if any probabilistic fundamental sequence in $S$ converges to a member in $S$of $S$.
Definition 4) theThe probabilistic contraction mapping $G:S\to S$ on a complete Menger space is shown to have has a fixed pointfixed point if the following relation holds for all $p,q\in S$ :${{F}_{Gp,Gq}}$( kx $)\ge {{F}_{p,q}}$( x $)\,\,\,\,\text{for all }x>0\,\,$.
Theorem (Sehgal [1]): A contraction on complete Menger space is havehas a unique fixed point if the triangle norm T$T$ has the following property:
${{A}_{1}})$ $T\left( x,x \right)\ge x\forall x\in \left[ 0,1 \right]$
${{A}_{2}})$ $T\text{ is a continous function}$$T\text{ is a continuous function}$
[1]: Sehgal, V.M. & Bharucha-Reid, A.T. Math. Systems Theory (1972) 6: 97. https://doi.org/10.1007/BF01706080
The question : the only t$t$-norm that satisfies $T\left( x,x \right)\ge x$ is $T\left( x,y \right)=\min \left( x,y \right)$ however. However other types of t$t$-norm like Hthose of $H$-type , archimedean and Lukasiewicz t$t$-normnorms can not garenteeguarantee the existence of a fixed point regardingas in this theorem. Is The question: Is it possible to generalize the theorem (Sehgal)of Sehgal by dropping the condition property ${{A}_{1}}$?