Abstract:The sequence X is statisticallv convergent to L if for eacli e > 0, lim" number o{ k < ti : | -L | > e} = 0; a: is a statisticallv Cauchv sequence if for each € > 0 there is a positive integer N = N{e) such thatlim" -{the number of k < n : | -| > t} = 0. n These concepts are shown to be equivaleot. Also, Statistical convergence is studied as a regulär summability method, and it is shown that it cannot be included by any matrix metbod. There are two Tauberian theorems proved: one uses the Tauberian condition Ax… Show more
“…But in general, s-convergent sequences satisfy many of the properties of ordinary convergent sequences in metric spaces. It has been discussed and developed by many authors [3,5,6,9,10,11,21,22,25,26].…”
Abstract. In this paper, we introduce the concept ss-sequentially quotient mapping. Using this concept, we characterize s-Fréchet-Urysohn spaces and s-sequential spaces.Finally, we develop the properties of I-Fréchet-Urysohn spaces which is the generalized form of s-Fréchet-Urysohn spaces. Also, we give an example that product of two I-Fréchet-Urysohn spaces need not be an I-Fréchet-Urysohn space for any I.
“…But in general, s-convergent sequences satisfy many of the properties of ordinary convergent sequences in metric spaces. It has been discussed and developed by many authors [3,5,6,9,10,11,21,22,25,26].…”
Abstract. In this paper, we introduce the concept ss-sequentially quotient mapping. Using this concept, we characterize s-Fréchet-Urysohn spaces and s-sequential spaces.Finally, we develop the properties of I-Fréchet-Urysohn spaces which is the generalized form of s-Fréchet-Urysohn spaces. Also, we give an example that product of two I-Fréchet-Urysohn spaces need not be an I-Fréchet-Urysohn space for any I.
“…A lot of developments have been made in this areas after the works ofSalát [26], Fridy [8] and Miller [21]. Over the years and under different names statistical convergence has been discussed in the theory of Fourier analysis, ergodic theory and number theory.…”
Recently in [22], Mursaleen introduced the concept of statistical convergence in random 2-normed spaces. In this paper, we define and study the notion of lacunary ∆ n -statistical convergence and lacunary ∆ n -statistical Cauchy sequences in random 2-normed spaces using lacunary density and prove some interesting theorems.
Subjclass [2000] :Primary 40A05; Secondary 46A70, 40A99, 46A99.
“…The concept of statistical convergence was introduced by Fast [6] and also independently by Buck [3] and Schoenberg [18] for real and complex sequences. Further this concept was studied by Fridy [7,Connor [4]] and many others. Statistical convergence is closely related to the concept of convergence in Probability.…”
In this paper we introduce some multiplier sequence spaces of fuzzy numbers by using a Musielak-Orlicz function M = (M k ) and multiplier function u = (u k ) and prove some inclusion relations between the resulting sequence spaces.
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