Journal of applied mathematics & informatics

The Korean Society for Computational and Applied Mathematics (한국전산응용수학회)
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ON ASYMPTOTICALLY f-ROUGH STATISTICAL EQUIVALENT OF TRIPLE SEQUENCES

  • SUBRAMANIAN, N. (School of Arts Sciences and Humanities, Department of Mathematics, SASTRA Deemed to be University) ;
  • ESI, A. (Department of Mathematics, Adiyaman University)
  • Received : 2019.06.20
  • Accepted : 2019.09.02
  • Published : 2019.09.30
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Abstract

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.

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References

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