• Title/Summary/Keyword: summability

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Summability Results for Mapping Matrices

  • Yoo, Won Sok
    • Journal of Integrative Natural Science
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    • v.11 no.1
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    • pp.51-56
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    • 2018
  • For topological vector spaces X and Y, let $F_0(X,Y)=\{f{\in}Y^X:f(0)=0\}$. Then it is an extremely large family and the family of linear operators is a very small subfamily of $F_0(X,Y)$. In this paper, we establish the characterizations of $F_0(X,Y)$-matrix families (${l^{\infty}(X)$, ${l^{\infty}(Y)$), ($c_0(X)$, $l^{\infty}(Y)$) and ($c_0(X)$, $l^{\infty}(Y)$).

APPROXIMATION OF LIPSCHITZ CLASS BY DEFERRED-GENERALIZED NÖRLUND (D𝛾𝛽.Npq) PRODUCT SUMMABILITY MEANS

  • JITENDRA KUMAR KUSHWAHA;LAXMI RATHOUR;LAKSHMI NARAYAN MISHRA;KRISHNA KUMAR
    • Journal of applied mathematics & informatics
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    • v.41 no.5
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    • pp.1057-1069
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    • 2023
  • In this paper, we have determined the degree of approximation of function belonging of Lipschitz class by using Deferred-Generalized Nörlund (D𝛾𝛽.Npq) means of Fourier series and conjugate series of Fourier series, where {pn} and {qn} is a non-increasing sequence. So that results of DEGER and BAYINDIR [23] become special cases of our results.

On Some Matrix Transformations Involving Prime Numbers

  • Srinivasan, V.K.
    • Honam Mathematical Journal
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    • v.7 no.1
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    • pp.129-133
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    • 1985
  • The object of this note is to discuss the relationship between some matrix transformations that naturally occur involving prime numbers in the theory of Summability.

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FOURIER INVERSION OF DISTRIBUTIONS ON THE SPHERE

  • A, Francisco Javier Gonzalez Vieli
    • Journal of the Korean Mathematical Society
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    • v.41 no.4
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    • pp.755-772
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    • 2004
  • We show that the Fourier-Laplace series of a distribution on the sphere is uniformly Cesaro-summable to zero on a neighborhood of a point if and only if this point does not belong to the support of the distribution. Similar results on the ball and on the real projective space are also proved.

A functional central limit theorem for positively dependent random vectors

  • Kim, Tae-Sung;Baek, Jong-Il
    • Communications of the Korean Mathematical Society
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    • v.10 no.3
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    • pp.707-714
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    • 1995
  • In this note, we extend the concepts of linearly positive quadrant dependence to the random vectors and prove a functional central limit theorem for positively quadrant dependent sequence of $R^d$-valued or separable Hilbert space valued random elements which satisfy a covariance summability condition. This result is an extension of a functional central limit theorem for weakly associated random vectors of Burton et al. to positive quadrant dependence case.

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ON ASYMPTOTICALLY f-ROUGH STATISTICAL EQUIVALENT OF TRIPLE SEQUENCES

  • SUBRAMANIAN, N.;ESI, A.
    • Journal of applied mathematics & informatics
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    • v.37 no.5_6
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    • pp.459-467
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    • 2019
  • In this work, via Orlicz functions, we have obtained a generalization of rough statistical convergence of asymptotically equivalent triple sequences a new non-matrix convergence method, which is intermediate between the ordinary convergence and the rough statistical convergence. We also have examined some inclusion relations related to this concept. We obtain the results are non negative real numbers with respect to the partial order on the set of real numbers.