https://arxiv.org/abs/2409.01296 close this message arXiv Accessibility Forum 2024 Skip to main content Cornell University This week: the arXiv Accessibility Forum Forum Schedule We gratefully acknowledge support from the Simons Foundation, member institutions, and all contributors. Donate arxiv logo > math > arXiv:2409.01296 [ ] Help | Advanced Search [All fields ] Search arXiv logo Cornell University Logo [ ] GO quick links * Login * Help Pages * About Mathematics > History and Overview arXiv:2409.01296 (math) [Submitted on 2 Sep 2024] Title:Fibonacci Partial Sums Tricks Authors:Nikhil Byrapuram, Adam Ge, Selena Ge, Tanya Khovanova, Sylvia Zia Lee, Rajarshi Mandal, Gordon Redwine, Soham Samanta, Daniel Wu, Danyang Xu, Ray Zhao View a PDF of the paper titled Fibonacci Partial Sums Tricks, by Nikhil Byrapuram and 10 other authors View PDF HTML (experimental) Abstract:The following magic trick is at the center of this paper. While the audience writes the first ten terms of a Fibonacci-like sequence (the sequence following the same recursion as the Fibonacci sequence), the magician calculates the sum of these ten terms very fast by multiplying the 7th term by 11. This trick is based on the divisibility properties of partial sums of Fibonacci-like sequences. We find the maximum Fibonacci number that divides the sum of the Fibonacci numbers 1 through $n$. We discuss the generalization of the trick for other second-order recurrences. We show that a similar trick exists for Pell-like sequences and does not exist for Jacobhstal-like sequences. Comments: 26 pages, 9 tables Subjects: History and Overview (math.HO); Number Theory (math.NT) MSC classes: 11B39 (Primary) 00A08 Cite as: arXiv:2409.01296 [math.HO] (or arXiv:2409.01296v1 [math.HO] for this version) https://doi.org/10.48550/arXiv.2409.01296 Focus to learn more arXiv-issued DOI via DataCite Submission history From: Tanya Khovanova [view email] [v1] Mon, 2 Sep 2024 14:38:49 UTC (20 KB) Full-text links: Access Paper: View a PDF of the paper titled Fibonacci Partial Sums Tricks, by Nikhil Byrapuram and 10 other authors * View PDF * HTML (experimental) * TeX Source * Other Formats view license Current browse context: math.HO < prev | next > new | recent | 2024-09 Change to browse by: math math.NT References & Citations * NASA ADS * Google Scholar * Semantic Scholar a export BibTeX citation Loading... BibTeX formatted citation x [loading... ] Data provided by: Bookmark BibSonomy logo Reddit logo (*) Bibliographic Tools Bibliographic and Citation Tools [ ] Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) [ ] Litmaps Toggle Litmaps (What is Litmaps?) [ ] scite.ai Toggle scite Smart Citations (What are Smart Citations?) ( ) Code, Data, Media Code, Data and Media Associated with this Article [ ] Links to Code Toggle CatalyzeX Code Finder for Papers (What is CatalyzeX?) [ ] DagsHub Toggle DagsHub (What is DagsHub?) [ ] GotitPub Toggle Gotit.pub (What is GotitPub?) [ ] Links to Code Toggle Papers with Code (What is Papers with Code?) [ ] ScienceCast Toggle ScienceCast (What is ScienceCast?) ( ) Demos Demos [ ] Replicate Toggle Replicate (What is Replicate?) [ ] Spaces Toggle Hugging Face Spaces (What is Spaces?) [ ] Spaces Toggle TXYZ.AI (What is TXYZ.AI?) ( ) Related Papers Recommenders and Search Tools [ ] Link to Influence Flower Influence Flower (What are Influence Flowers?) [ ] Connected Papers Toggle Connected Papers (What is Connected Papers?) [ ] Core recommender toggle CORE Recommender (What is CORE?) * Author * Venue * Institution * Topic ( ) About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs. Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?) * About * Help * Click here to contact arXiv Contact * Click here to subscribe Subscribe * Copyright * Privacy Policy * Web Accessibility Assistance * arXiv Operational Status Get status notifications via email or slack