Fibonacci Numbers, Statistical Convergence and Applications
Murat Kirisci, Ali Karaisa

TL;DR
This paper introduces a new form of statistical convergence based on Fibonacci sequences and explores its fundamental properties, while also applying it to approximation theory.
Contribution
It defines Fibonacci-based statistical convergence and investigates its properties, applying it to approximation theory for the first time.
Findings
New Fibonacci statistical convergence concept introduced
Fundamental properties of Fibonacci statistical convergence examined
Applied to approximation theory
Abstract
The purpose of this paper is twofold. First, the definition of new statistical convergence with Fibonacci sequence is given and some fundamental properties of statistical convergence are examined. Second, approximation theory worked as a application of the statistical convergence.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsApproximation Theory and Sequence Spaces · Mathematical Inequalities and Applications · Fuzzy and Soft Set Theory
