Abstract
In this paper, we introduce a new type of convergence for a sequence of function, namely, \(\lambda \)-statistically convergent sequences of functions in random 2-normed space, which is a natural generalization of convergence in random 2-normed space. In particular, following the line of recent work of Karakaya et al. [12], we introduce the concepts of uniform \(\lambda \)-statistical convergence and pointwise \(\lambda \)-statistical convergence in the topology induced by random 2-normed spaces. We define the \(\lambda \)-statistical analog of the Cauchy convergence criterion for pointwise and uniform \(\lambda \)-statistical convergence in a random 2-normed space and give some basic properties of these concepts. In addition, the preservation of continuity by pointwise and uniform \(\lambda \)-statistical convergence is proven.
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References
Alsina, C., Schweizer, B., Sklar, A.: On the definition of a probabilistic normed space. Aequationes Math. 46, 91–98 (1993)
Asadollah, A., Nourouz, K.: Convex sets in probabilistic normed spaces. Chaos, Solitons Fractals 36, 322–328 (2008)
Balcerzak, M., Dems, K., Komisarski, A.: Statistical convergence and ideal convergence for sequences of functions. J. Math. Anal. Appl. 328, 715–729 (2007)
Caserta, A., Giuseppe, D., Kočinac, L.: Statistical convergence in function spaces. Abstr. Appl. Anal. 2011, 1–11 (2011)
Fast, H.: Sur la convergence statistique. Colloquium Math. 2, 241–244 (1951)
Fridy, J.: On statistical convergence. Analysis 5, 301–314 (1985)
Gähler, S.: Lineare 2-normietre räume. Math. Nachr. 28, 1–43 (1964)
Giuseppe, D., Kočinac, L.: Statistical convergence in topology. Topol. Appl. 156, 28–45 (2008)
Golet, I.: On probabilistic 2-normed spaces. Novi Sad J. Math. 35, 95–102 (2006)
Gürdal, M., Pehlivan, S.: The statistical convergence in 2-banach spaces. Thai J. Math. 2, 107–113 (2004)
Karakaya, V., Şimşek, N., Ertürk, M., Gürsoy, F.: \(\lambda \)-statistical convergence of sequences of functions with respect to the intuitionistic fuzzy normed spaces. J. Funct. Spaces Appl. 2012, 1–14 (2012)
Karakaya, V., Şimşek, N., Ertürk, M., Gürsoy, F.: Statistical convergence of sequences of functions with respect to the intuitionistic fuzzy normed spaces. Abstr. Appl. Anal. 2012, 1–19 (2012)
Menger, K.: Statistical metrics. Proc. Nat. Acad. Sci. 28, 535–537 (1942)
Mursaleen, M.: \(\lambda \)-statistical convergence. Math. Slovaca 50, 111–115 (2000)
Mursaleen, M.: On statistical convergence in random 2-normed spaces. Acta Sci. Math. (Szeged) 76, 101–109 (2010)
Savaş, E.: On generalized statistical convergence in random 2-normed space. Iran. J. Sci. Technol. A4, 417–423 (2012)
Savaş, E., Gürdal, M.: Certain summability methods in intuitionistic fuzzy normed spaces. J. Intell. Fuzzy Syst. 27, 1621–1629 (2014)
Savaş, E., Mohiuddine, S.: \(\lambda \)-statistically convergent double sequences in probabilistic normed spaces. Math. Slovaca 62, 99–108 (2012)
Schweizer, B., Sklar, A.: Probabilistic Metric Spaces. Elsevier Science Publishing Co., New York (1983)
Sempi, C.: A short and partial history of probabilistic normed spaces. Mediterr. J. Math. 3, 283–300 (2006)
Serstnev, A.: On the notion of a random normed space. Dokl. Akad. Nauk SSSR 149, 280–283 (1963)
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Savaş, E., Gürdal, M. (2018). Generalized Statistical Convergence for Sequences of Function in Random 2-Normed Spaces. In: Ghosh, D., Giri, D., Mohapatra, R., Savas, E., Sakurai, K., Singh, L. (eds) Mathematics and Computing. ICMC 2018. Communications in Computer and Information Science, vol 834. Springer, Singapore. https://doi.org/10.1007/978-981-13-0023-3_28
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DOI: https://doi.org/10.1007/978-981-13-0023-3_28
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