Abstract
We give an improvement of Theorem 1 from [2] with a quite different approach, which enable us to prove that the fixed point is also globally attractive. In Theorem 2.11 a further generalization is obtained for a complete Menger space (S,F,T), where T belongs to a more general class of continuous t-norms than in the previous case where T=T M (=min). Theorem 3.2 is a generalization of Theorem 2 from [2]. Thereafter the notion of a generalized C-contraction of Krasnoselski's type is introduced and a fixed point theorem for such mappings is proved. An application in the space S(Ω, K, P) is given.
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S. S. Chang, Y. J. Cho and S. M. Kang, Probabilistic Metric Spaces and Nonlinear Operator Theory, Sichuan Univ. Press (Chengdu, 1994).
S. S. Chang, B. S. Lee, Y. J. Cho, Y. Q. Chen, S. M. Kang and J. S. Jung, Generalized contraction mapping principle and differential equations in probabilistic metric spaces, Proc. Amer. Math. Soc., 124 (1996), 2367-2376.
O. Hadžić, On the (ε, λ)-topology of probabilistic locally convex spaces, Glas. Mat., 13(33) (1978), 293-297.
O. Hadžić, Some theorems on the fixed points in probabilistic metric and random normed spaces, Boll. Unione Mat. Ital., 1-B(6) (1982) 381-391.
O. Hadžić, Fixed Point Theory in Topological Vector Spaces (Novi Sad, 1984).
O. Hadžić, E. Pap, Fixed Point Theory in Probabilistic Metric Spaces, Kluwer Academic Publishers (Dordrecht, 2001).
S. Hahn and F. Pötter, Über Fixpunkte kompakter Abbildungen in topologischen Vektorräumen, Studia Math., 50L (1974), 1-16.
T. L. Hicks, Fixed point theory in probabilistic metric spaces, Univ. u Novom Sadu, Zb. Rad. Prirod. Mat. Fak. Ser. Mat., 13 (1983), 63-72.
J. Ishii, On the admissibility of function spaces, J. Fac. Sci. Hokkaido Univ. Series I, 19 (1965), 49-55.
V. Klee, Leray-Schauder theory without local convexity, Math. Ann., 141 (1960), 286-296.
E. P. Klement, R. Mesiar and E. Pap, Triangular Norms, Kluwer Academic Publishers, Trends in Logic 8 (Dordrecht, 2000).
I. Kolumbán and A. Soós, Fractal functions using contraction method in probabilistic metric spaces, in: Proc. of the Int. Multidisciplinary Conf. Fractal 2002 (ed. M. M. Novak), World Sci. (2002), pp. 255-265.
M. A. Krasnoselski and P. P. Zabreiko, Geometricheskie metody nelineinogo analiza, Nauka (1975).
C. Krauthausen, Der Fixpunktsatz von Schauder in nicht notwendig konvexen Räumen sowie Anwendungen auf Hammersteinsche Gleichungen, Doktors Dissertation (Aachen, 1976).
J. Mach, Die Zulässigkeit und gewisse Eigenschaften der Funktionenräume LΦ,k und LΦ, Ber. Ges. f. Math. u. Datenverarb. Bonn, Nr. 61, 1972.
K. Menger, Statistical metric, Proc. Nat. Acad. USA, 28 (1942), 535-537.
M. Nagumo, Degree of mappings in convex linear topological spaces, Amer. J. Math., 73 (1951), 497-511.
E. Pap, O. Hadžić and R. Mesiar, A fixed point theorem in probabilistic metric spaces and applications in fuzzy set theory, J. Math. Anal. Appl., 202 (1996), 433-449.
E. Parau and V. Radu, Some remarks on Tardiff's fixed point theorem on Menger spaces, Portugaliae Mathematica, 54 (1997), 431-440.
V. Radu, A remark on contractions on Menger spaces, Seminar on Probability Theory and Applications, Univ. of Timişoara, Nr. 64, 1983.
V. Radu, Some fixed point theorems in PM-spaces, in: Lectures Notes in Math. Nr. 1233, Springer, 1987, pp. 123-133.
V. Radu, Lectures on Probabilistic Analysis, West University of Timisoara (1996).
T. Riedrich, Die Räume Lp(0, 1) (0 < p < 1) sind zulässig, Wiss. Z. TU, Dresden, 12 (1963), 1149-1152.
B. Schweizer and A. Sklar, Statistical metric spaces, Pacific J. Math., 10 (1960), 313-334.
B. Schweizer and A. Sklar, Probabilistic Metric Spaces, North-Holland (1983).
B. Schweizer, H. Sherwood and R. M. Tardiff, Contractions on probabilistic metric spaces. Examples and counter examples, Stochastica, 12 (1988), 5-17.
V. M. Sehgal and A. T. Bharucha-Reid, Fixed point of contraction mapping on PM spaces, Math. Systems Theory, 6 (1972), 97-100.
R. Tardiff, Contraction maps on probabilistic metric spaces, J. Math. Anal. Appl., 165 (1992), 517-523.
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Hadžić, O., Pap, E. & Radu, V. Generalized contraction mapping principles in probabilistic metric spaces. Acta Mathematica Hungarica 101, 131–148 (2003). https://doi.org/10.1023/B:AMHU.0000003897.39440.d8
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DOI: https://doi.org/10.1023/B:AMHU.0000003897.39440.d8