Weighted Statistical Convergence and Cluster Points: The Fibonacci Sequence-Based Approach Using Modulus Functions

Weighted Statistical Convergence and Cluster Points: The Fibonacci Sequence-Based Approach Using Modulus Functions

In this paper, the Fibonacci sequence, renowned for its significance across various fields, its ability to illuminate numerical concepts, and its role in uncovering patterns in mathematics and nature, forms the foundation of this research. This study introduces innovative concepts of weighted densit...

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Bibliographic Details
Main Authors: Ibrahim S. Ibrahim, Iver Brevik, Ravi P. Agarwal, Majeed A. Yousif, Nejmeddine Chorfi, Pshtiwan Othman Mohammed
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Mathematics
Subjects:
Fibonacci sequence
modulus function
weighted Fibonacci statistical convergence
statistical Cauchy
statistical cluster point
Online Access:https://www.mdpi.com/2227-7390/12/23/3764

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https://www.mdpi.com/2227-7390/12/23/3764

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