Submitted:
09 August 2024
Posted:
13 August 2024
Read the latest preprint version here
Abstract
Keywords:
1. Introduction
- Comprehensive treatment of sequence properties
- Analysis of the inverse Collatz function
- Logical progression towards a complete resolution of the conjecture
- 1.
- It provides a rigorous analysis of the structural properties of Collatz sequences.
- 2.
- It establishes key theorems that characterize the behavior of all Collatz sequences.
- 3.
- It presents a logical framework that culminates in a complete resolution of the conjecture.
- 4.
- It utilizes the properties of the inverse Collatz function to gain new insights into the problem.
- Section 2 introduces the key concepts and definitions.
- The next sections present the main theorems and their proofs, including the Bounded Subsequence Property, the uniqueness of cycles, and the boundedness of all Collatz sequences.
- Section 6 presents the culminating theorem that resolves the Collatz conjecture.
- Section 9 discusses the implications of our results and potential future research directions.
2. Background and Comparative Results
2.1. Historical Context and Related Work
2.1.1. Terras’s Probabilistic Approach (1976)
2.1.2. Lagarias’s Comprehensive Analysis (1985)
2.1.3. Tao’s Almost-All Result (2019)
2.2. A Novel Approach to the Collatz Conjecture
- 1.
- Focus on the Inverse Function: Unlike many previous approaches that primarily analyzed the forward Collatz function C, this proof centers on the properties of the inverse function G. This shift in perspective allows for a more comprehensive understanding of the structure underlying Collatz sequences.
- 2.
- Generative Completeness: The concept of generative completeness via (Theorem 11) is a novel contribution. It establishes a fundamental structure in Collatz sequences that previous attempts did not fully exploit.
- 3.
- Combination of Global and Local Properties: This approach successfully combines global properties of Collatz sequences (such as boundedness and cycle structure) with local properties (such as the behavior of individual terms), creating a more comprehensive analysis.
- 4.
- Rigorous Treatment of Infinity: The proof carefully handles issues related to infinite sequences and sets, addressing a common pitfall in many previous attempts.
- Novel Perspective: By focusing on the inverse function G, this approach reveals structural properties of Collatz sequences that were not apparent when solely analyzing the forward function C.
- Structural Foundations: The establishment of strong structural results (like the Generative Completeness Theorem) provides a solid foundation for the final convergence proof.
- Bridging Global and Local Behavior: Many previous attempts struggled to connect the global behavior of Collatz sequences with the local behavior of individual terms. This proof successfully bridges this gap through the properties of .
- Avoidance of Probabilistic Arguments: Unlike some previous approaches that relied on probabilistic or heuristic arguments, this proof is entirely deterministic and rigorous.
- Comprehensive Treatment: This approach addresses all aspects of the Collatz Conjecture - boundedness, cycle structure, and convergence - in a unified framework.
3. The Inverse Collatz Function: A Key Concept
- 1.
- Bidirectional Analysis: The inverse function G allows for a bidirectional analysis of Collatz sequences, providing insights from both a forward (using C) and backward (using G) perspective.
- 2.
- Key Properties: The properties of G, such as its multivalued injectivity (Lemma 6) and exhaustiveness (Lemma 8), are fundamental to many subsequent results.
- 3.
- Generative Completeness: The Generative Completeness Theorem (Theorem 11), which heavily relies on the properties of G, is crucial for establishing the structure of Collatz sequences.
- 4.
- Cycle Analysis: Function G enables a deeper analysis of cycles in Collatz sequences, leading to the proof of the uniqueness of the cycle (Theorem 19).
- 5.
- Bounded Subsequence Property: This key property (Theorem 16) is proven using the properties of G and is fundamental to the final argument.
- 6.
- Equivalence of Properties: Lemma 16 establishes a crucial equivalence between properties of sequences generated by C and those generated by G, allowing for the transfer of results between both perspectives.
- 7.
- Final Resolution: In the final proof (Theorem 20), the properties derived from G are used to eliminate all possible trajectories that do not converge to 1.
4. Preliminaries
4.1. Basic Definitions
- S is a set of natural numbers
- is the set of all natural numbers
- m and n are natural numbers
- ≤ is the less than or equal to relation on natural numbers
- 1.
- Base case: is true.
- 2.
- Inductive step: For any , if is true, then is true.
- 1.
- Base case: is true.
- 2.
- Strong inductive step: For any , if is true for all , then is true.
4.2. Fundamental Properties
- 1.
- The function is defined for all elements in its domain.
- 2.
- The function produces a unique output for each input.
- (a)
- Domain:
- (b)
- , exactly one of the following is true:
- (c)
-
Case 1: If n is even:Note: For even , always holds.
- (d)
- Case 2: If n is odd:
- (e)
- Therefore, is defined and in for all .
- (a)
- Let be arbitrary.
- (b)
-
Case 1: If n is even:This operation produces a unique result for each even n.
- (c)
-
Case 2: If n is odd:This operation produces a unique result for each odd n.
- (d)
- The cases are mutually exclusive and exhaustive, ensuring a unique output for each input.
- 1.
- The function is defined for all elements in its domain.
- 2.
- The function produces a unique output for each input.
- 3.
- All elements in the output are in the codomain.
- 1.
- Domain:
- 2.
- , exactly one of the following is true:
- 3.
- Case 1: If :
- 4.
- Case 2: If :
- 1.
- Let be arbitrary.
- 2.
-
Case 1: If :This set is uniquely determined by n.
- 3.
-
Case 2: If :This set is uniquely determined by n.
- 4.
- The cases are mutually exclusive and exhaustive, ensuring a unique output for each input.
- 1.
- The codomain of G is , the power set of positive integers.
- 2.
- For all , is a set containing either one or two positive integers.
- 3.
- Therefore, for all .
- 1.
- It is defined for all elements in its domain.
- 2.
- It produces a unique output for each input.
- 3.
- All elements in the output are in the codomain.
- 1.
- Non-emptiness of
- 2.
- Uniqueness of
- 1.
- The term is always included and is a function of n.
- 2.
- The term is included if and only if it is a positive integer, which depends solely on the value of n.
- 3.
- The condition is equivalent to , which is uniquely determined by n.
- 1.
- is negative, but all elements in are positive.
- 2.
- is not an integer, but all elements in are integers.
- (i)
- :
- (ii)
- :
- 1.
- 2.
- 1.
- Injectivity
- 2.
- Multivalued injectivity
- 3.
- Monotonicity
- 4.
- Exhaustiveness
- 5.
- Finiteness of preimages
- 6.
- Non-emptiness of preimages
- 1.
- 2.
- 1.
- It provides an upper bound for all elements y in in terms of x.
- 2.
- This upper bound, , is a strictly increasing function of x (since ).
- 3.
- Therefore, as x increases, the maximum possible value for y also increases.
- 4.
- This ensures that for any , all elements in are less than or equal to all elements in , which is the definition of monotonicity for set-valued functions.
- If is even:
- If is odd:
- 1.
- For all Collatz sequences generated by C, holds.
- 2.
- For all sequences such that , holds.
- Lemma 5: The Collatz function C is well-defined for all positive integers.
- Lemma 3: For every , the set is non-empty and uniquely determined.
- 1.
- If is even, then .
- 2.
- If is odd, then .
- 1.
- If is even, then .
- 2.
- If is odd, then .
- 3.
- if and only if or or .
- 4.
- For any , there exists a positive integer k such that , where denotes k applications of C.
- 1.
- For all Collatz sequences generated by C, holds.
- 2.
- For all sequences such that for all , holds.
- Lemma 5: The Collatz function C is well-defined for all positive integers.
- Lemma 3: For every , the set is non-empty and uniquely determined.
5. Properties of Collatz Sequences
- 1.
-
The set of all positive integers that can be reached from 1 by applying G a finite number of times.
- 2.
-
The set of all positive integers that can be reached from 1 by applying G at most k times.
- 3.
-
The subset of S containing all elements less than N.
- 4.
-
The minimal generator for numbers up to N. As proven in Theorem 11, this is always 1 and satisfies the generativity property: .
- 5.
-
An alternative definition of T, emphasizing its construction from elements of .
- 6.
-
G-graph: A directed graph where:
- is the set of vertices.
- is the set of edges.
- 7.
- A path in the G-graph from a to b is a sequence of vertices where , , and for all .
5.1. Boundedness of Collatz Sequences
5.1.1. Auxiliary Proofs
- (a)
- Observe that .
- (b)
- Since for all :
- (c)
- Therefore:
- (a)
-
We first prove by induction that is finite:
- (i)
- Base case: is finite
- (ii)
- Inductive step: Assume is finite for some . We prove for : By the definition of G, . Let . Then: Therefore, is finite.
- (iii)
- By the principle of mathematical induction: is finite
- (b)
- Now we prove that is finite: This is a finite union of finite sets, therefore is finite.
- 1.
- since .
- 2.
- For all , .
- 3.
- Therefore, .
- 4.
- Thus, T is non-empty.
- 1.
- By definition, .
- 2.
- .
- 3.
- Therefore, by the definition of T.
- is the set of vertices.
- is the set of edges.
- 1.
- 2.
- 3.
-
The sequence satisfies the conditions trivially:
- The third condition is vacuously true as
- By the inductive hypothesis, there exists a sequence satisfying the conditions for q.
- Let
-
This new sequence is valid for n because:
- 1.
- 2.
- 3.
- 4.
-
Since , by the definition of G, we have either:
- -
- (if ), or
- -
- (if )
-
In the first case ():
- -
- , so we can apply the inductive hypothesis to q.
- -
- Let be the sequence for q.
- -
- Then is a valid sequence for n.
-
In the second case ():
- -
- (since as ), so we can directly apply the inductive hypothesis to q.
- -
- Let be the sequence for q.
- -
- Then is a valid sequence for n.
- 1.
- Injectivity
- 2.
- Multivalued injectivity
- 3.
- Monotonicity
- 4.
- Exhaustiveness
- 5.
- Finiteness of preimages
- 6.
- Non-emptiness of preimages
5.1.2. Global Structure of Collatz Sequences
- The sequence of even numbers: .
- The sequence of odd numbers: .
- Even sequence: .
- Odd sequence: .
- Even sequence: .
- Odd sequence: .
- Even sequence: .
- Odd sequence: .
- For , we reach the odd number 1 as .
- For , we reach the odd number 3 as .
- Define .
- Consider the set .
- For each , define , where .
- Define .
- By definition, .
- In this case, can be written as for some .
- Since , and by the induction hypothesis, , then belongs to . Therefore, .
- We consider two subcases depending on whether is congruent to 4 modulo 6 or not.
- In this situation, .
- Consider such that , implying if n is even, or if n is odd.
- By the induction hypothesis, . Since includes , it follows that .
- In this scenario, .
- Consider for some .
- We know includes , which is an even number, and , which is an odd number.
- By the induction hypothesis, since , we have . Therefore, must also belong to because includes .
- Additionally, since is an even number, it should be treated as in Case 1, confirming that and hence belongs to .
- Therefore, for every , there exists such that .
- 1.
- (Minimality)
- 2.
- (Generativity)
- 3.
- (Uniqueness)
- 4.
- (Connection to C)
- 5.
- (Finiteness) is finite
- Define .
- For , where .
- Define .
- Let .
- We invoke Lemma 29, which establishes that for all , there exists such that .
- The lemma already provides a detailed proof, including all cases when is even or odd, and whether is congruent to or not.
- Therefore, it follows that , there exists such that .
- This property is vacuously true as there are no .
- Let be arbitrary.
- Consider the sequence .
- By the properties of the Collatz function, this sequence either reaches 1 or enters a cycle.
- If it reaches 1, then .
- If it enters a cycle, let m be the minimum value in this cycle.
- Then .
- In both cases, .
- For each , let .
- Define .
- k is finite because it’s the maximum of a finite set of finite numbers.
- By construction, .
- 1.
- Existence of : In this case, , as 1 is the smallest number that can generate all numbers up to 27 using the inverse Collatz function.
- 2.
- Generativity: We can generate 27 from 1 using G:
- 3.
- Uniqueness: There is no number smaller than 1 that can generate all numbers up to 27.
- 4.
- Connection to C: Applying the Collatz function C to 27, we eventually reach 1:
- 5.
- Finiteness: The maximum number of steps k to generate any number up to 27 using G is finite. In this case, , which is the number of steps needed to generate 27 from 1 using G.
- 1.
-
Exhaustiveness:This property guarantees that every number has at least one "predecessor" in terms of G.
- 2.
-
Monotonicity:This property ensures that generation via G is upper-bounded.
- 3.
-
Universal generation: Combining (1) and (2), we can construct a finite sequence connecting any number to 1:The existence of this sequence is proven by induction:
- Base: For , the sequence is trivial: .
- Inductive step: Assuming a sequence exists for all , by exhaustiveness there exists m such that . By monotonicity, , so a sequence exists for m. Adding n to the end of this sequence yields a valid sequence for n.
- 1.
- (Minimality)
- 2.
- (Generativity)
- S is a finite sequence (it has j elements, where )
- Each element of S is a natural number (C is well-defined on by Theorem 5)
- The maximum of a finite set of natural numbers is always finite
- Let .
- .
- .
- Assume .
- For , .
- But (as ), contradicting that .
5.2. Cycle Properties
- 1.
- 2.
- for , and
- 3.
- (a)
- Let . We know n is finite from step 4.
- (b)
- Consider the first elements of the sequence P: .
- (c)
- We have pairs, but only n possible distinct values for (since ).
- (d)
- By the Pigeonhole Principle (Theorem 2), there must be at least two pairs in this set of pairs that have the same value.
- (e)
- Let these pairs be and where .
- (f)
- Then , proving the lemma.
- (a)
- Let . We claim that .
- (b)
- We prove this by induction on :
- (c)
- Base case: For , we have by hypothesis.
- (d)
- Inductive step: Assume the claim is true for some , i.e., . We prove it’s true for :
- (e)
- By the principle of mathematical induction, .
- (f)
- Now, we formally define the cycle C:
- (g)
-
We prove that C satisfies the definition of a cycle:
- (a)
- C is non-empty and finite: since , and .
- (b)
- C is closed under the Collatz function: Then If , then by definition. If , then .
- (c)
- C repeats indefinitely in the sequence: This follows from as proved above.
- (h)
- Therefore, C is a cycle in .
- If , then
- If , then
- If , then for all

- 1.
- Base case: By assumption, .
- 2.
- Inductive step: Assume for some . We prove it for : By the Cycle Invariance Lemma, .
- 3.
- By the principle of mathematical induction, .
- Let be the unique cycle in a Collatz sequence.
- Let . We prove by contradiction.
- Assume . Then m must be odd (if even, , contradicting minimality).
- and .
- We prove :
- Since , , contradicting minimality of m.
- Therefore, .
- , so 4 must be in the cycle.
- , so 2 must be in the cycle.
- , which brings us back to 1.
-
Prove no other numbers can be in the cycle:
- If is in the cycle, if x is odd, or if x is even.
- In either case, cannot be in , contradiction.
- Assume a cycle exists that does not contain 1.
- Let . Then and must be odd.
- Consider the sequence .
- For this to be a cycle, , which implies .
- This contradicts our assumption that .
6. Resolution of the Collatz Conjecture
6.1. First Approach

6.2. Second Approach
- The sequence is bounded (step 1), so it cannot diverge to infinity.
- The sequence must contain a cycle (step 2).
- There is only one cycle in the sequence (step 3).
- This unique cycle is (step 4).
- If , we’re done.
- If , then and .
- If , then .
7. Limitations and Future Work
7.1. Limitations
- 1.
- Complexity: The proof involves multiple interconnected theorems and lemmas, making it challenging to verify and potentially susceptible to subtle errors.
- 2.
- Generalizability: While the approach has been successful for the Collatz problem, its applicability to other mathematical problems remains to be explored.
- 3.
- Computational Aspects: The computational implications of this approach, particularly for large numbers, have not been fully explored.
7.2. Future Work
- 1.
- Number Theory: Investigate other open problems in number theory using multivalued inverse functions, particularly in the study of arithmetic functions and divisibility problems.
- 2.
- Dynamical Systems: Apply this approach to analyze attractors and basins of attraction in discrete dynamical systems.
- 3.
- Algebraic Topology: Explore new perspectives on the structure of topological spaces using multivalued inverse functions in the study of coverings and homomorphisms.
- 4.
- Functional Analysis: Develop a more detailed analysis of non-injective operators using their multivalued "inverses".
- 5.
- Graph Theory: Investigate the connection between multivalued inverse functions and directed graphs to derive new results in graph theory and combinatorics.
- 6.
- Differential Equations: Apply multivalued inverse functions to analyze bifurcations and nonlinear behaviors in the study of differential equation solutions.
- 7.
- Cryptography: Explore potential applications of multivalued inverse functions in the design of new cryptographic systems.
- 8.
- Optimization: Use multivalued inverse functions to gain new insights into the solution space structure of non-convex optimization problems.
7.3. Broader Implications
- Application of similar analytical techniques to other iteration problems in number theory.
- Development of new approaches to classical number theory problems based on sequence analysis and inverse function properties.
- Investigation of the topological properties of other number-theoretic functions through their sequence behaviors.
- Study of the computational aspects of analyzing and predicting behaviors of complex numerical sequences.
- Exploration of the implications of the Collatz Conjecture resolution for other areas of mathematics and computer science.
- Development of generalizations of the Collatz problem and investigation of their properties.
- Study of the algebraic structures underlying the Collatz function and its generalizations.
8. Broader Implications and Future Directions
8.1. Number Theory
8.2. Dynamical Systems
- 1.
- 2.
8.3. Algebraic Number Theory
8.4. Future Research Directions
- 1.
- Investigation of Collatz-like dynamical systems (Conjecture 25)
- 2.
- Exploration of Collatz behavior in abstract algebraic structures (Conjecture 27)
- 3.
- Study of the distribution of Collatz sequence lengths, extending Corollary 23
- 4.
- Application of Collatz-like thinking to other open problems in number theory and dynamical systems
- 5.
- Exploration of connections between the Collatz problem and other areas of mathematics, such as ergodic theory and fractal geometry
- 6.
- Development of generalized versions of the Collatz problem in other mathematical structures, such as finite fields or p-adic numbers
9. Conclusion
- 1.
- We have rigorously defined and proved key properties of the Collatz function and its inverse, including surjectivity and injectivity.
- 2.
- We have established important structural properties of Collatz sequences, including the uniqueness of cycles (Theorem 18).
- 3.
- We have shown that there exists exactly one cycle in any Collatz sequence, and that this unique cycle is (Theorem 19).
- 4.
- We have proven the Bounded Subsequence Property (Theorem 16), which is crucial for understanding the behavior of Collatz sequences.
- 5.
- We have demonstrated the Generative Completeness of the Inverse Collatz Function (Theorem 11), providing a powerful tool for analyzing Collatz sequences.
- 6.
- Based on these results, we have provided a complete proof of the Collatz Conjecture (Theorem 20), demonstrating that all Collatz sequences eventually reach 1.
- 1.
- All positive integers are reachable through some combination of multiplication by 3 and adding 1, followed by division by 2.
- 2.
- There exist no non-trivial cycles in the Collatz sequence other than .
- 3.
- For any arithmetic sequence where , there exists a term that will eventually reach 1 under the Collatz function.
- 1.
- Let .
- 2.
-
The Collatz Conjecture resolution method involves:
- Analysis of function properties (surjectivity, injectivity)
- Study of sequence structures (boundedness, cycles)
- Use of inverse functions
- 3.
- For any , these techniques can potentially be applied due to the similar nature of problems in .
- 4.
- Therefore, .
- 1.
- Extension of the Collatz problem to other number systems and algebraic structures (as suggested in Conjecture 27).
- 2.
- Investigation of Collatz-like dynamical systems (as proposed in Conjecture 25).
- 3.
- Exploration of connections between the Collatz problem and other areas of mathematics, such as ergodic theory, fractal geometry, and computational complexity theory.
- 4.
- Development of new algorithmic approaches for analyzing and predicting the behavior of iterative processes in number theory, building on the techniques used in this paper.
- 5.
- Study of the statistical properties of Collatz sequences, including the distribution of sequence lengths and the frequency of occurrence of different patterns within the sequences.
Appendix A. Glossary of Terms
- Collatz function The function defined as:
- Inverse Collatz function The function defined as:
- Collatz sequence For any , the sequence defined by:
-
Cycle A non-empty finite subset such that:
- 1.
- 2. for , and
- 3.
-
G-graph A directed graph where:
- is the set of vertices
- is the set of edges
- Path in G-graph A sequence of vertices where , , and for all
- Minimal generator For a given , is the smallest positive integer such that all numbers up to N can be generated from using the inverse Collatz function
- Bounded Subsequence Property For any Collatz sequence , if for some , then there exists such that
Appendix B. Notation Table
| Symbol | Meaning |
| Set of positive integers | |
| Power set of | |
| C | Collatz function |
| G | Inverse Collatz function |
| Collatz sequence | |
| k successive applications of C | |
| i successive applications of G | |
| Minimal generator for numbers up to N | |
| ≡ | Congruence relation |
| Modulo n | |
| ∀ | For all |
| ∃ | There exists |
| ⇒ | Implies |
| ⇔ | If and only if |
| ∈ | Element of |
| ⊆ | Subset of |
| ∩ | Intersection |
| ∪ | Union |
| ∅ | Empty set |
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