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On the theory of probabilistic metric spaces with applications. (English) Zbl 0614.60010

The purpose of this paper is to investigate the theory of probabilistic metric spaces and its applications. In § 1 we introduce a kind of Menger probabilistic metric space. By virtue of their basic properties and the Menger-Hausdorff metric defined for this kind of spaces we obtain in § 2 some fixed point theorems for multi-valued mappings on probabilistic metric spaces.
In addition, in § 3 we present some fixed point theorems for one- valued mappings on probabilistic metric spaces, which generalize and improve some recent results of I. Istrăteşcu [Rev. Roum. Math. Pures Appl. 26, 431-435 (1981; Zbl 0476.60006)]; V. M. Sehgal and A. T. Bharucha-Reid [Math. Syst. Theory 6, 97-102 (1972; Zbl 0244.60004)] and G. Bocşan [Proc. 5th Conf. Probab. Theory, Braşov 1974, 153-155 (1977; Zbl 0439.60068)].

MSC:

60B99 Probability theory on algebraic and topological structures
60H25 Random operators and equations (aspects of stochastic analysis)
54H25 Fixed-point and coincidence theorems (topological aspects)
Full Text: DOI

References:

[1] Istrąťescu, I., A fixed point theorem for mappings with a probabilistic contractive iterate,Revue Roum. Math. Pures et Appl.,26 (1981), 431–435.
[2] Istrąťescu, V. and Sacuin, I., Fixed point theorem for contraction mappings on probabilistic metric spaces,Revue Roum. Math. Pures et Appl.,13 (1973), 1375–1380.
[3] Sehgal, V.M. and Bharucha-Reid, A. T., Fixed points of contraction mappings on probabilistic metric spaces,Math. Systems Theory,6 (1972), 97–102. · Zbl 0244.60004 · doi:10.1007/BF01706080
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