Pascal Triple Entire Sequence Space of Fibonacci Binomial Matrix on Rough Statistical Convergence And Its Rate
Veena Narayanan1, Srikanth Raghavendran2, N. Subramanian3

1Veena Narayanan, Department of Mathematics SASTRA Deemed University, Thanjavur, Tamilnadu, India.
2Srikanth Raghavendran, TATA Realty-SASTRA Srinivasa Ramanujan Research chair professor for Number Theory, SASTRA Deemed University, Thanjavur, Tamilnadu, India.
3N. Subramanian, Department of Mathematics, SASTRA Deemed University, Thanjavur, Tamilnadu, India.
Manuscript received on 26 August 2019. | Revised Manuscript received on 06 September 2019. | Manuscript published on 30 September 2019. | PP: 3108-3114 | Volume-8 Issue-11, September 2019. | Retrieval Number: K24950981119/2019©BEIESP | DOI: 10.35940/ijitee.K2495.0981119
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Abstract: This paper initially discusses the definition of new rough statistical convergence with Pascal Fibonacci binomial matrix. Some general properties of rough statistical convergence are inspected. Further, approximation theory worked as a rate of the rough statistical convergence has been presented.
Keywords: Rough statistical convergence, Natural density, triple entire sequences, Korovkin type approximation theorems, Pascal Fibonacci matrix, positive linear operator. 2010 Mathematics Subject Classification: 40F05, 40J05, 40G05.
Scope of the Article: Cryptography and Applied Mathematics