Abstract:The definition of weighted statistical convergence was first introduced by Karakaya and Chishti (2009) [1]. After that the definition was modified by Mursaleen et al. (2012) [2]. But some problems are still there; so it will be further modified in this paper. Using it some newly developed definitions of the convergence of a sequence of random variables in probability have been introduced and their interrelations also have been investigated, and in this way a partial answer to an open problem posed by Das and S… Show more
“…The new definition is not exactly parallel to that of statistical convergence. Some other applications of this concept are the λ−statistical convergence of order α by Çolak and Bektaş [24], the lacunary statistical convergence of order α byŞengül and Et [25], the weighted statistical convergence of order α and its applications by Ghosal [26], and the almost statistical convergence of order α by Et, Altın and Çolak [27]. J −statistical convergence and J −lacunary statistical convergence of order α were introduced by Das and Savaş in 2014 [28].…”
In our paper, by using the concept of W-asymptotically J- statistical equivalence of order α which has been previously defined, we present the definitions of W-asymptotically Jλ-statistical equivalence of order α, W-strongly asymptotically Jλ-statistical equivalence of order α, and W-strongly Cesáro asymptotically J-statistical equivalence of order α where 0<α≤1. We also extend these notions with a sequence of positive real numbers, p=(pk), and we investigate how our results change if p is constant.
“…The new definition is not exactly parallel to that of statistical convergence. Some other applications of this concept are the λ−statistical convergence of order α by Çolak and Bektaş [24], the lacunary statistical convergence of order α byŞengül and Et [25], the weighted statistical convergence of order α and its applications by Ghosal [26], and the almost statistical convergence of order α by Et, Altın and Çolak [27]. J −statistical convergence and J −lacunary statistical convergence of order α were introduced by Das and Savaş in 2014 [28].…”
In our paper, by using the concept of W-asymptotically J- statistical equivalence of order α which has been previously defined, we present the definitions of W-asymptotically Jλ-statistical equivalence of order α, W-strongly asymptotically Jλ-statistical equivalence of order α, and W-strongly Cesáro asymptotically J-statistical equivalence of order α where 0<α≤1. We also extend these notions with a sequence of positive real numbers, p=(pk), and we investigate how our results change if p is constant.
“…Definition 2.4 (Weighted strong Cesaro summability). [7] Let (t n ) be a sequence of nonnegative real numbers such that t 1 > 0,…”
Section: Preliminariesmentioning
confidence: 99%
“…β([λγ])(n) T βγ(n) − T β([λγ])(n) Ŝβ([λγ])(n) (x) x ∈ [a, b] T β([λγ])(n) T βγ(n) − T β([λγ])(n) Ŝβ([λγ])(n) (x) + f (x) − 2ε 3 T β([λγ])(n) T βγ(n) − T β([λγ])(n) Ŝβγ(n) (x) + Ŝβγ(n) (x)(from[7] and[11])= T β([λγ])(n) T βγ(n) − T β([λγ])(n) Ŝβ([λγ])(n) (x) + 1 T βγ(n) − T β([λγ])(n) k∈ [λγn]+1,γn t k fk (x) (follows from [10]) T β([λγ])(n) T βγ(n) − T β([λγ])(n) Ŝβ([λγ])(n) (x) + fλn (x) + ε 3 since fn (x) is slowly decreasing. Thus f (x) − ε fγn (x)(12)Combining[9] and[12], we getf (x) − ε fγn (x) f (x) + ε, x ∈ [a, b]So fγ k (x) converges to f (x) for all x ∈ [a, b].…”
The concept of weighted βγ -summability of order θ in case of fuzzy functions is introduced and classified into ordinary and absolute sense. Several inclusion relations among the sets are investigated. Also we have found some suitable conditions to get its relation with the generalized statistical convergence. Finally we have proved a generalized version of Tauberian theorem.
In this paper we introduce the concept generalized weighted statistical
convergence of double sequences. Some relations between weighted
(?,?)-statistical convergence and strong (N???,p,q,?,?)-summablity of double
sequences are examined. Furthemore, we apply our new summability method to
prove a Korovkin type theorem.
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