The Collatz Conjecture: Bridging Mathematics and Computational Exploration with Python

Authors

  • Robert Kosova University “Aleksandër Moisiu” Durrës
  • Rinela Kapçiu University “Aleksandër Moisiu” Durrës
  • Shkelqim Hajrulla Epoka University
  • Anna Maria Kosova University “Aleksandër Moisiu” Durrës

DOI:

https://doi.org/10.59287/as-ijanser.637

Keywords:

Conjecture, Collatz, 3n+1, Python, Programming, Coding

Abstract

The Collatz Conjecture, proposed by Lothar Collatz in 1937, stands as an unsolved problem within the realm of number theory. This conjecture, also known as the "3x + 1 problem" or the "hailstone sequence," revolves around a simple iterative process applied to positive integers. The conjecture states that by repeatedly applying a specific rule—dividing even numbers by 2 and multiplying odd numbers by 3 and adding 1—any positive integer will eventually reach the cycle of 4, 2, 1. Historical insights unveil the conjecture's enduring appeal, while modern computational methods showcase extensive verifications for very large integers, reinforcing its validity yet without offering definitive proof for all integers. The pursuit of counterexamples and patterns has engaged computational frontiers, illustrating the complexity that belies the conjecture's apparent simplicity. This article illuminates the Collatz Conjecture's significance in the mathematical landscape and its role in stimulating mathematical investigations, computational advancements, and the development of problem-solving techniques.

Author Biographies

Robert Kosova, University “Aleksandër Moisiu” Durrës

Department of Mathematics, Albania

Rinela Kapçiu, University “Aleksandër Moisiu” Durrës

Department of Computer Science. Albania

Shkelqim Hajrulla, Epoka University

Computer Engineering Department.  Tirana. Albania.

Anna Maria Kosova, University “Aleksandër Moisiu” Durrës

Department of Computer Science.  Albania

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Published

2023-12-26

How to Cite

Kosova, R., Kapçiu, R., Hajrulla, S., & Kosova, A. M. (2023). The Collatz Conjecture: Bridging Mathematics and Computational Exploration with Python. International Journal of Advanced Natural Sciences and Engineering Researches (IJANSER), 7(11), 328–334. https://doi.org/10.59287/as-ijanser.637

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