Abstract
We introduce the notions of extended Menger probabilistic b-metric space and extended rectangular Menger probabilistic b-metric space. Thereafter, we obtain new fixed-point results for single- and multi-valued mappings in both spaces. Additionally, we present two applications, involving integral, and fractional differential, equations, proving the existence of solutions.
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Appendix
Appendix
Herein, non-trivial examples are given for Theorems 1 and 2. Additionally, examples concerning eMPbM and eRMPbM spaces are provided.
Example 1
Let us consider \({\mathcal {Q}} = \{1,2,3\}\), \({\mathcal {T}}(\zeta ,\varsigma )=\min \{\zeta ,\varsigma \}\), and \(\epsilon (\zeta ,\varsigma )=\frac{1}{\zeta +\varsigma }\). Also, let us introduce \({\mathbb {E}}^{e}: {\mathcal {Q}} \times {\mathcal {Q}} \rightarrow D^{+}\) as
where \(\alpha \ge \beta >1\). We can show that \({\mathbb {E}}^{e}\) is an eMPbM.
Conditions (Ee1) and (Ee2) are trivial. Let \(t=1\) and \(s=2\). For (Ee3), we get
For other cases, we can proceed in a similar way. Therefore, for every \(\zeta ,\varsigma \in {\mathcal {Q}}\) with distinct \(u,v \in {\mathcal {Q}} {\setminus } \{\zeta ,\varsigma \}\), we obtain
Thus, \(({\mathcal {Q}},{\mathbb {E}}^{e},{\mathcal {T}})\) is an eMPbM-space. Nevertheless, it is not an MPM-space, because
Example 2
Let us suppose that \({\mathcal {Q}} ={\mathbb {R}}^{+}\), \({\mathcal {T}}(\zeta ,\varsigma )=\min \{\zeta ,\varsigma \}\) and \({\mathbb {E}}^{e}: {\mathcal {Q}} \times {\mathcal {Q}} \rightarrow D^{+}\) is
for every \(\zeta ,\varsigma \in {\mathcal {Q}}\) and \(\epsilon (\zeta ,\varsigma )=\frac{1}{\zeta +\varsigma }\) (Hasanvand and Khanehgir 2015). Let us introduce the function \(\varpi : {\mathcal {Q}} \rightarrow {\mathcal {Q}}\) with \(\varpi \zeta =\frac{\zeta }{4}\) and \(\varphi : {\mathbb {R}}^{ +}\rightarrow {\mathbb {R}}^{ +}\) with \(\varphi (t) = t\). Also, let us set \(c=\frac{1}{2}\) and \(\lambda =1\). From
we obtain
Thus, Theorem 1 implies that \(\varpi \) has a FP.
Example 3
Let us consider \({\mathcal {Q}} = \{1,2,3,4\}\), \({\mathcal {T}}(\zeta ,\varsigma )=\min \{\zeta ,\varsigma \}\), and \(\epsilon (\zeta ,\varsigma )=\frac{1}{\zeta +\varsigma }\). Also, let us introduce \({\mathbb {E}}^{\zeta }: {\mathcal {Q}} \times {\mathcal {Q}} \rightarrow D^{+}\) as
where \(\alpha \ge \beta >1\). We can show that \({\mathbb {E}}^{\zeta }\) is an eRMPbM.
Conditions (Ex1) and (Ex2) are trivial. For (Ex3), we get
For other cases, we can proceed in a similar way. Therefore, for every \(\zeta ,\varsigma \in {\mathcal {Q}}\) with distinct \(u,v \in {\mathcal {Q}} {\setminus } \{\zeta ,\varsigma \}\), we obtain
Thus, \(({\mathcal {Q}},{\mathbb {E}}^{\zeta },{\mathcal {T}})\) is an eRMPbM-space, but not an eMPbM-space, because
Example 4
Let us assume that \({\mathcal {Q}} =[0,1]\), \({\mathbb {E}}^{\zeta }\) and \({\mathcal {T}}\) are as in Example 3. Therefore, \(({\mathcal {Q}},{\mathbb {E}}^{\zeta },{\mathcal {T}})\) is a complete eRMPbM-space with \(\epsilon (\zeta ,\varsigma ) =\frac{\zeta +\varsigma }{2}\). Let us introduce the function \(\varpi : {\mathcal {Q}} \rightarrow CB({\mathcal {Q}})\) as \(\varpi \zeta =[0,\frac{\zeta }{4}]\) and \(\varphi : {\mathbb {R}}^{ +}\rightarrow {\mathbb {R}}^{ +}\) by \(\varphi (t) = t\). Using the definition of the probabilistic Hausdorff metric in Definition 5, we get
where, \(c=\frac{1}{2},a_{1}=1,a_{4}=-2, a_{5}=-1\) and \( a_{2}=a_{3}=0\). Since \(\varpi \) has compact values, it has \({\mathbb {E}}\)-APV and closed mapping. On the other hand, by the definition of \(\varpi \), all conditions of Theorem 2 are satisfied. Hence, Theorem 2 implies that \(\varpi \) has an FP.
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Chaharpashlou, R., Ghasab, E.L. & Lopes, A.M. On extended, and extended rectangular, Menger probabilistic b-metric spaces: applications to the existence of solutions of integral, and fractional differential, equations. Comp. Appl. Math. 42, 295 (2023). https://doi.org/10.1007/s40314-023-02431-6
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DOI: https://doi.org/10.1007/s40314-023-02431-6
Keywords
- Nonlinear fractional differential equation
- Extended Menger probabilistic b-metric space
- Extended rectangular Menger probabilistic b-metric space
- Multi-valued mapping