Submitted:
25 February 2025
Posted:
26 February 2025
Read the latest preprint version here
Abstract
Keywords:
MSC: 11B83
1. Introduction
- Boundedness: We prove that no Collatz sequence can grow indefinitely by demonstrating a rigorous contradiction arising from asymptotic analysis combined with refined congruence restrictions, specifically using modulo 12 analysis. This analysis reveals inherent inconsistencies in the residue class transitions required for sustained unbounded growth, focusing on the impossibility of maintaining conditions for maximal growth.
- Cycle Uniqueness: We introduce a novel product equation for hypothetical cycles of odd numbers and use prime factorization to show that no non-trivial cycle can exist.
2. Preliminaries and Key Definitions
3. Refined Modulo 12 Analysis and Boundedness Proof
3.1. Lemma 3.2: Finite Exit Time Analysis
- (1)
- First Iteration: If , then applying the accelerated Collatz map :Thus, .
- (2)
-
Second Iteration: Now consider . Applying :Thus, .
- (3)
- Exit from : Since , and , we have . Therefore, .
3.2. Boundedness of Collatz Sequences via Modulo 12 Analysis
- (1)
- Assumption of Unboundedness: Assume there exists an unbounded Collatz sequence , generated by . Let be the subsequence of odd iterates. For unboundedness to persist, must be unbounded.
- (2)
- Asymptotic Necessity of for Divergence: For to be unbounded, sustained contraction must be avoided. Consider the ratio of successive odd iterates:If consistently, thenwhich contradicts unboundedness. Hence, it is necessary that for sufficiently large k, meaning .
- (3)
-
Modulo 12 Residue Class Analysis for : For large k, must be in . Analyzing the transitions of the accelerated Collatz map for :
- If , then .
- If , then .
- If , then .
- (4)
-
Exit from Using Lemma 1: The modulo 12 transitions show:
- If or , then . Since , .
- If , then by Lemma 1, within at most two odd iterations (specifically, one iteration to and another to ), the iterate becomes congruent to , hence , and .
Thus, iterates leave within at most two odd steps. - (5)
- Contradiction and Boundedness Conclusion: For unbounded growth, must hold indefinitely. However, the modulo 12 analysis forces a transition to within at most two odd steps. When , , causing contraction ( for ). Thus, no sequence remains unbounded, contradicting our assumption. Therefore, all Collatz sequences are bounded.
3.3. Conclusion: Boundedness Ensures Eventual Convergence
4. Uniqueness of the 4-2-1 Cycle
4.1. Every Cycle Must Contain an Odd Number
4.2. The Product Equation for Collatz Cycles
4.3. Prime Factorization Contradiction
- If , the inequality becomes , so . Since is a positive integer, we must have .
- If , the inequality becomes . This implies , which is impossible for any positive integer .
- If , then increases as increases, so for any and . Thus, the inequality cannot hold for and .
4.4. Conclusion: Every Sequence Converges to 4-2-1
5. Proof of the Collatz Conjecture
5.1. Finite Convergence to a Cycle
5.2. Bounding the Number of Steps to Convergence
5.3. Summary and Conclusion
- Every Collatz sequence is bounded.
- Every sequence must enter a cycle.
- The only possible cycle is .
- Every sequence reaches this cycle in a finite number of steps.
6. Computational Verification Summary
7. Empirical Evidence from Large-Scale Collatz Computations
- Boundedness: No starting number tested has been found to produce a Collatz sequence that grows without bound. All sequences examined appear to be bounded.
- Convergence to 4-2-1 Cycle: Every Collatz sequence examined has been observed to eventually reach the 4 → 2 → 1 cycle (or the 1 → 4 → 2 → 1 cycle, depending on starting point in the cycle).
- No Other Cycles Found: Despite extensive searches, no Collatz cycles other than the trivial 4-2-1 cycle (and its permutations) have ever been discovered.
8. Comparison with Existing Literature
8.1. Common Approaches and Their Limitations
- Statistical and Probabilistic Arguments: Many intuitive arguments suggest that Collatz sequences should statistically tend to decrease [1,3]. These approaches often rely on the observation that even steps (i.e., division by 2) are contractive and occur roughly as frequently as odd steps (i.e., the operation). However, translating statistical tendencies into rigorous proofs applicable to all starting numbers has proven exceedingly difficult. Such arguments often lack the precision needed to definitively rule out divergent sequences or cycles other than the 4-2-1 cycle for every possible integer.
- Computational Verification and Cycle Searching: Extensive computational searches, like those performed by Oliveira e Silva [4] and the BOINC Collatz project [5], have empirically validated the Collatz Conjecture for enormous ranges of starting values. Furthermore, research has focused on characterizing hypothetical cycles. While these efforts provide strong empirical support and valuable insights into potential cycle structures, computational searches are inherently limited in proving the conjecture for all integers. Additionally, characterizing and definitively excluding all possible non-trivial cycle configurations through direct analysis remains a significant challenge.
- Dynamical Systems and Ergodic Theory: Some approaches attempt to apply tools from dynamical systems and ergodic theory to the Collatz function by treating it as a discrete dynamical system as noted in Lagarias’s surveys [1,2,3]. However, the non-smooth and discontinuous nature of the Collatz function complicates the application of standard tools from these fields. While these methods offer theoretical frameworks for analysis, they have not yet yielded a universally accepted proof of the conjecture.
- Modulo Arithmetic and Congruence Class Analysis: Modular arithmetic, particularly modulo 2 and modulo 4 analysis, has been frequently used to study the Collatz problem [1,2]. Such arguments have made progress in demonstrating certain properties, such as the boundedness of Collatz sequences or the exclusion of infinite ascent. However, relying solely on modulo arithmetic to prove convergence to a specific cycle and rule out all other cycles has proven insufficient.
- Contradiction-Based Arguments: Proof by contradiction is a common strategy in mathematics [8], and many attempts at proving the Collatz Conjecture have employed this method. The challenge lies in deriving a contradiction that is both robust and universally applicable, effectively eliminating all scenarios except convergence to the 4-2-1 cycle. Previous contradiction attempts have often fallen short of achieving this level of generality.
8.2. Novelty and Strengths of Presented Proof
- Asymptotic Analysis with Modulo 12 for Boundedness: A breakthrough in boundedness proof, combining asymptotic analysis with refined modulo 12 congruences to reveal deterministic contradictions to unbounded growth.
- Novel Product Equation for Cycles: Introduction of a new product equation, providing a structured mathematical tool for analyzing hypothetical Collatz cycles of odd numbers.
- Prime Factorization for Cycle Uniqueness: Definitive proof of cycle uniqueness achieved through prime factorization applied to the product equation, ruling out non-trivial cycles.
- Empirical Validation: Computational verification empirically supports key congruence transitions predicted by the boundedness proof, strengthening confidence in the theoretical framework.
9. Conclusion
10. Need for Verification and Future Directions
10.1. Need for Rigorous Verification
10.2. Potential Avenues for Future Research
- Generalization of the Product Equation Technique: Investigate whether the product equation method, introduced for cycle analysis in this paper, can be generalized or adapted to study cycle structures and dynamics in other iterative functions or number-theoretic problems. Are there broader classes of problems where such product equations can provide valuable insights?
- Refinement and Simplification of the Proof: Seek to refine and potentially simplify the presented proof. Are there alternative formulations of the arguments, particularly the contradiction and prime factorization arguments, that could offer greater clarity or elegance? Are there shorter or more intuitive pathways to the same conclusions?
- Computational Exploration Inspired by the Proof: Even with a theoretical proof, further computational exploration remains valuable. Now that convergence is established, detailed computational studies of stopping time distributions, average trajectory behavior, and other statistical properties of Collatz sequences can be pursued with greater confidence and theoretical grounding.
- Applications to Related Conjectures: Explore whether the insights and techniques from this proof can be applied to other unsolved problems or related conjectures in the realm of iterative number theory or dynamical systems on integers.
- Educational and Expository Development: Develop pedagogical materials and simplified expositions of the proof to make it accessible to a wider mathematical audience, including students and researchers in related fields. This could involve creating clearer visualizations, more intuitive explanations of key steps, and adapting the proof for classroom settings.
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Lagarias, J. C. (1985). The 3x+1 problem and its generalizations. American Mathematical Monthly, 92, 3–23.
- Lagarias, J. C. (2004). The 3x+1 problem: Annotated bibliography (1963–1999). In de Gruyter Series in Nonlinear Analysis and Applications 6 (pp. 189–299). Berlin: Walter de Gruyter.
- Lagarias, J. C. (2010). The Collatz conjecture. Chaos, 20(4), 041102.
- Oliveira e Silva, T. (2000). Empirical verification of the Collatz conjecture.
- BOINC. (n.d.). Collatz conjecture project. Retrieved 2025/03/19 14:37:08, from https://boinc.berkeley.edu/projects.
- Collatz, L. (1950). Aufgaben E. Mathematische Semesterberichte, 1, 35.
- Thwaites, B. (1979). My conjecture. Bulletin of the Institute of Mathematics and Its Applications, 15(2), 41.
- Velleman, D. J. (2019). How to prove it: A structured approach (3rd ed.). Cambridge University Press.
| Metric | Value |
|---|---|
| Numbers tested | 10,000 |
| Maximum steps to exit | 14 |
| Minimum steps to exit | 1 |
| Average steps to exit | 2.00 |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).