Submitted:
21 November 2023
Posted:
24 November 2023
Read the latest preprint version here
Abstract

Keywords:
1. Introduction
Technical Novelty of AITs
2. Comparison with Other Approaches
- The proofs by Tao and Lagarias use more traditional analytical tools such as number theory, without introducing new structures like AITs. The AIT approach is more geometric/combinatorial.
- Tao’s proof numerically verifies the conjecture for very large numbers, while AITs allow for a more conceptual approach without the need for extensive computation.
- Lagarias studies the statistical and dynamical properties of Collatz sequences. AITs also reveal dynamic properties of the system.
- AITs provide estimates on the length of Collatz sequences based on their structure. The other proofs do not explore this aspect.
- The proof with AITs relies on new lemmas and theorems developed by the author that extend standard principles. The proofs by Tao and Lagarias are entirely based on tools and theories established in the number theory literature.
- AITs offer a novel geometric perspective on the problem. Tao and Lagarias focus on the numerical analysis of the sequences.
2.1. Historical Context and Importance
- 1937 - Lothar Collatz: The Collatz conjecture was first proposed by Lothar Collatz, a German mathematician. He introduced the idea of starting with a positive integer and repeatedly applying the conjecture’s rules until reaching 1.
- 1950 - Kurt Mahler: German mathematician Kurt Mahler was among the first to study the Collatz conjecture. Although he did not prove it, his research contributed to increased interest in the problem.
- 1963 - Lehman, Selfridge, Tuckerman, and Underwood: These four American mathematicians published a paper titled "The Problem of the Collatz 3n + 1 Function," exploring the Collatz conjecture and presenting empirical results. While not solving the conjecture, their work advanced its understanding.
- 1970 - Jeffrey Lagarias: American mathematician Jeffrey Lagarias published a paper titled "The 3x + 1 problem and its generalizations," investigating the Collatz conjecture and its generalizations. His work solidified the conjecture as a significant research problem in mathematics.
- 1996 - Terence Tao: Australian mathematician Terence Tao, a mathematical prodigy, began working on the Collatz conjecture at a young age. Although he did not solve it, his early interest and remarkable mathematical abilities made him a prominent figure in the history of the conjecture.
- 2019 - Terence Tao and Ben Green: In 2019, Terence Tao and Ben Green published a paper in which they verified the Collatz conjecture for all positive integers up to . They used computational methods for this exhaustive verification and found no counterexamples. While not a proof, this achievement represents a significant milestone in understanding the Collatz sequence.
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Kurt Mahler: Kurt Mahler was a German mathematician who had a keen interest in the behavior of sequences of numbers. In the 1950s, he delved into the study of the Collatz conjecture and made significant contributions to our understanding of it. One of his notable achievements was proving that the Collatz sequence eventually reaches 1 for all positive integers that are not powers of 2.
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- Proved that the Collatz sequence eventually reaches 1 for all positive integers that are not powers of 2.
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- Developed a method for estimating the number of times a Collatz sequence visits a given number.
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- Studied the distribution of cycle lengths in Collatz sequences.
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Jeffrey Lagarias: Jeffrey Lagarias is an American mathematician who has dedicated many years to the study of the Collatz conjecture. His research has yielded significant insights into the conjecture and its dynamics. Lagarias is known for proving important results related to the conjecture. Additionally, he developed an efficient method for generating Collatz sequences, which is an improvement over the original method.Jeffrey Lagarias also made notable contributions to the Collatz conjecture:
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- Proved several important results about the Collatz conjecture, including the fact that there are infinitely many cycles of length 6.
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- Developed an efficient method for generating Collatz sequences.
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- Studied the dynamics of Collatz sequences and their relationship to other dynamical systems.
2.2. Reasons for the Necessity of New Approaches to the Collatz Conjecture
- Seemingly Random Behavior: Despite its simple definition, the sequence generated by the Collatz function exhibits behavior that appears nearly random. No clear patterns have been identified to predAIT the sequence’s behavior for all natural numbers, making traditional analytical methods difficult to apply.
- Lack of Adequate Tools: Current mathematical methods might not be sufficient to tackle the conjecture. Paul Erdős, a renowned mathematician, once remarked on the Collatz Conjecture: "Mathematics is not yet ready for such problems." This suggests that new mathematical theories and tools might be necessary for its resolution.
- Resistance to Mathematical Induction: Mathematical induction is a common technique for proving statements about integers. However, the Collatz Conjecture has resisted attempts at proof by induction due to its unpredAITable nature and the lack of a solid base from which to begin the induction.
- Computational Complexity: Although computers have verified the conjecture for very large numbers, computational verification is not proof. Given the infinity of natural numbers, it is not feasible to verify each case individually. Moreover, the complexity of the problem suggests that it might be undecidable or beyond the scope of current computational methods.
- Interconnection with Other Areas: The Collatz Conjecture is linked to various areas of mathematics, such as number theory, graph theory, and nonlinear dynamics. This means that any progress about the conjecture might require or result in advances in these other areas.
2.3. Challenges in Resolving the Collatz Conjecture
2.3.1. Analyzing an Infinite Sequence
2.3.2. Counterexample Search
2.3.3. Pattern Irregularities
2.4. Our Methodology
- They incorporate nodes symbolizing figures in the Collatz sequence. Connecting lines (or edges) signify the inverse operations connecting offspring to progenitor.
- Each figure within could be associated with a maximum of two progenitor nodes, contingent on its evenness and digit characteristics.
- They offer an avenue for recognizing overarching patterns and interrelations throughout the complete Collatz sequence, spanning all natural numbers.
- Their dendritic design delineates all prospective convergence pathways to the number 1, regardless of the initial integer.
3. Theory
Foundational Framework
Foundations of First-Order Logic
Quantifiers
- Universal quantifier (∀): Asserts that a statement holds for all elements in a domain.
- Existential quantifier (∃): Asserts that there exists at least one element in the domain for which the statement holds.
Equality Axioms
- Reflexivity: For any object x, .
- Symmetry: For any objects x and y, if , then .
- Transitivity: For any objects x, y, and z, if and , then .
- Substitution: If , then any property that holds for x also holds for y.
Rules of Inference
- Modus Ponens: From P and , infer Q.
- Modus Tollens: From and , infer .
- Universal Instantiation: From , infer for any specific a.
- Universal Generalization: From holding for any arbitrary a, infer .
Principles of Set Theory:
- Axiom of Extensionality: We use this axiom to establish the uniqueness of certain sets defined in the proof. According to this principle, two sets are equal if and only if they have the same elements.
- Axiom of Specification (or Separation): We apply this axiom to form subsets with specific properties necessary in the construction of our argument.
- Axiom of Pairing: This axiom is used to show that certain elements constructed during the proof can be collected into a set.
- Axiom of Union: With this axiom, we demonstrate that the union of a collection of sets is itself a set, which is fundamental for arguments involving the construction of ascending chains of sets.
- Axiom of Infinity: This is essential to demonstrate the existence of infinite sets, especially relevant if the theorem deals with infinite algebraic structures such as in the case of AITs.
- Axiom of Replacement: This principle is applied to justify the formation of sets whose elements are the images of the elements of another set under a certain function.
- Zorn’s Lemma (equivalent to the Axiom of Choice): If the theorem involves the existence of maximums or minimums in certain partially ordered sets, Zorn’s Lemma can be crucial for the argument.
Peano’s Axioms
- is true (base case)
- is true (inductive step)
- is true (base case), and
- For any , if is true for all i such that , then is also true (inductive step),
- (base case), and
- for every (recursive step).
- Clearly, by definition.
- By mathematical induction, it is demonstrated that for every n.
4. Collatz function
4.1. Formal Definition of Collatz function
4.2. Proofs relative to C
- If x is even, the only solution to is , since only when .
- If x is odd, then is even and greater than 1. So there are no odd solutions.
4.3. Proofs relative to
- If , then
- If , then
Injectivity of
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If , then by the definition of :Since , it follows that . Therefore, , leading to a contradiction.
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If , then:Again, since , it holds that and . Therefore, , leading to a contradiction.
Surjectivity of
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Base Case
- : Let . Then, .
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Inductive Step
- : Suppose for some .
- It must be shown that .
- Note that by the definition of .
- Also, .
- By the inductive hypothesis, .
- By properties of unions, it follows that .
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Limit Case
- : Let .
- By the inductive step, for every .
- Taking the limit as , by the definition of union, .
- Therefore, by the Principle of Complete Induction, it is shown that .
- Since it is also true that every is in some by the definition of , then .
- In conclusion, . Therefore, is surjective. □
4.4. Topology on C
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The open subsets in are those that satisfy:
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- Arbitrary union of opens is open.
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- Finite intersection of opens is open.
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- Every set of the form , where and is the set of sequences converging to s, is open.
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It is verified that satisfies the axioms of a topology:
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- Arbitrary union of elements in is in
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- Finite intersection of elements in is in
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Under , C satisfies:
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- Absence of non-trivial cycles: Proven in Theorem M.
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- Convergence of infinite sequences to 1: Proven in Theorem N.
- contains ∅ and C: By definition.
- is closed under arbitrary unions: Same as in the previous case.
- is closed under finite intersections: Same as in the previous case.
- Absence of non-trivial cycles: By Theorem M previously proved.
- Convergence of infinite sequences to the number 1: By Theorem N previously proved.
- T is a directed tree with the root at 1.
- T does not contain non-trivial cycles.
- Every finite path in T converges to the root 1.
5. Algebraic Inverse Tree
5.1. Formal Definition and Topology
5.1.1. Formal Definition of AIT
Definition
- V is a set of nodes
- is a set of edges
- is the root node such that
- ≤ is a partial order relation on V
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is a function that assigns to each node its child nodes according to the rule:
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- If , then where
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- If , then where and
Lemma 1 - Equivalence relation between nodes and numbers
- Reflexive: where n is the number represented by v.
- Symmetric: If , then by the definition of R.
- Transitive: If and , then because v and w represent the same natural number n.
Axiom 1 - Absence of non-trivial cycles
Axiom 2 - Convergence of paths
5.1.2. Topology on AIT
Definition of topology
- The arbitrary union of elements in belongs to
- The finite intersection of elements in belongs to
- For all , the set , where is the set of predecessors of v.
- Axiom 1:
- Axiom 2: Closed under arbitrary unions
- Axiom 3: Closed under finite intersections
Lemma 2 - is a topology
- contains the empty set and T: By definition of .
- is closed under arbitrary unions: Let be an arbitrary family of opens in . Then is open in by definition.
- is closed under finite intersections: Let be opens in . Then is open in by definition.
Lemma 3 - Properties of AIT under
- Absence of non-trivial cycles: By Theorem X previously proved.
- Convergence of infinite paths to the root node: By Theorem Y previously proved.
- Compactness: By Theorem Z previously proved.
5.2. Topological Relation between AIT and Collatz Function
5.2.1. Definition of function f
- For each node , let be the natural number represented by the node v based on the recursive construction of the AIT using the inverse Collatz function .
- Then, we define .
- f is injective, as each node represents a unique natural number in the construction of the AIT.
- f is surjective, because every natural number is generated from 1 through and is represented by some node.
Theorem 1 - Continuity of f
Theorem 2 - Continuity of
5.2.2. Properties of function f
Theorem 3 - Uniqueness of paths
Theorem 4 - Preservation of unique path structure
Theorem 5 - Preservation of acyclic structure
Theorem 6 - Preservation of convergence structure
Theorem 7 - f is a homeomorphism
5.3. Topological Equivalence
Definition of topology on AIT
5.3.1. Formal Definition
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The open subsets in are those that satisfy:
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- Arbitrary union of opens is open.
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- Finite intersection of opens is open.
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- Every set of the form , where and is the set of predecessors of v, is open.
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It is verified that satisfies the axioms of a topology:
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- Arbitrary union of elements in is in
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- Finite intersection of elements in is in
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Under , the AIT satisfies:
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- Absence of non-trivial cycles: Proven in Theorem X.
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- Convergence of infinite paths: Proven in Theorem Y.
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- Compactness: Proven in Theorem Z.
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- Connectivity: Proven in Theorem W.
Theorem 8 - Complete metric space
Theorem 9 - Compactness
Theorem 10 - Topological equivalence
Lemma 4 - Homeomorphism between AIT and Collatz
Transfer of topological properties theorem
- Since f is a homeomorphism between AIT and Collatz, f is a bijective and bicontinuous map.
- According to the mentioned theorem, every homeomorphism preserves topological properties, i.e., it maps homeomorphic spaces.
- If holds, then AIT has the topological property P.
- Being f a homeomorphism, it maps homeomorphic spaces AIT and Collatz.
- Therefore, the topological property P is transferred from AIT to Collatz through f.
Lemma 5 - Continuity of f
5.4. Bijective Map between AIT Nodes and Natural Numbers
Theorem on bijective map f
5.5. Structural Properties
Axiom 1 - Tree structure
Axiom 2 - Unique paths
Theorem on absence of non-trivial cycles
Theorem on subtrees
- is a rooted directed tree with some node as the root since it is a connected subtree of T, which is a rooted directed tree.
- According to Definition 6.1 of AIT, every node has children given by . As , this is satisfied by construction.
- Since , for every pair of nodes , there exists an edge if and only if is a child of according to , preserving the recursive structure.
Theorem on no cycles introduced by f
5.6. Convergence of Paths
Unique path
Theorem on convergence of finite paths
Axiom on convergence of infinite paths
Definition of path convergence
Theorem on convergence in finite AIT
Theorem on convergence in infinite AIT
Theorem on convergence in limit of AIT sequence
- Absence of non-trivial cycles (Theorem X)
- Convergence of finite and infinite paths (Theorem Y)
- The generating operations (successor, union, intersection) are continuous by hypothesis.
- The properties are of topological nature (absence of cycles, convergence).
Theorem on one-to-one correspondence
5.7. Preservation Properties of f
Lemma on preservation of ancestral relationships
Theorem on isometry between metrics
Theorem on convergence inference
Theorem on correspondence
Theorem on structural equivalence
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For injectivity of f:Define f such that each node maps to the natural number representing the state reached after applying recursively starting at 1. Each natural number maps to a unique node, so f is injective.
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For surjectivity of f:By construction, T contains every natural number that is reachable from 1 through repeated application of . Therefore, every maps to some node , implying f is surjective.
- Each directed edge in T corresponds to taking one step in the Collatz sequence from to by applying C.
- Conversely, each step of C maps to a unique directed edge connecting nodes in T.
- If m is an ancestor of n in the Collatz sequence, then is an ancestor of in T.
- f does not introduce any cycles in T, since each natural number has a unique path to 1 under repeated application of .
Lemma on equivalence of AIT and Collatz sequences
6. Proof of Collatz Conjeture
7. Analysis of Special Cases
Definition of the Collatz Function
Theorem on Inclusivity of Special Cases
- Powers of Two: For , where , the sequence generated by the Collatz function demonstrates immediate convergence to 1 through successive halvings. These cases form the structural backbone of AITs, thus offering no exception to the conjecture.
- Multiples of Three: Numbers of the form , with , may initially exhibit an increase under the Collatz function. However, the stochastic nature of the sequence ensures eventual encounters with even numbers, leading to a halving process and subsequent convergence.
- Arithmetic Progressions: Extending the analysis to sequences of the form , where , we observe that despite the pseudo-random behavior introduced by the Collatz function, the fundamental absence of non-trivial cycles and the convergence property within AITs ensure that these arithmetic sequences also adhere to the conjecture.
Lemma on Powers of 2
Theorem on Multiples of 3
- Discussion on Arithmetic Progressions
Analysis of Limit and Hypothetical Cases
Theorem on Exploration of Limit Cases
- Construction of hypothetical anomalies
- Mathematical impossibility of anomalies
- Behavioral Patterns: Analyzing the behavior of sequences generated by extremely large numbers, we observe emergent patterns of growth and reduction, akin to those in smaller sequences, indicating a consistent dynamic irrespective of magnitude.
- Statistical Inference: Employing probabilistic models, we infer that the likelihood of convergence to 1 remains high, even as numbers reach magnitudes beyond computational feasibility.
- Construction of Hypothetical Counterexamples: We envision hypothetical scenarios where sequences generated by specific numbers might exhibit anomalous behaviors, such as sustained growth or oscillatory cycles.
- Mathematical Impossibility: Through rigorous analysis, we demonstrate that such scenarios violate fundamental properties of the Collatz function, such as injectivity and the absence of non-trivial cycles, establishing their mathematical impossibility.
- Asymptotic Behavior: We examine the asymptotic behavior of the Collatz sequences, finding that the alternating application of growth and reduction functions leads to a net convergence effect over extended iterations.
- (i)
- If n is even, then and so .
- (ii)
- If n is odd, and then . For all , it follows that .
Asymptotic Behavior
Theorem on Asymptotic Bounds
- (i)
- If n is even, then and so .
- (ii)
- If n is odd, and then . For all , it follows that .
Lemma on Growth Rates
Theorem on Limit Behavior
Discussion
Summary of how exhaustive analysis reinforces the universality of the Collatz Conjecture
8. Another Implementations of AIT
9. Comparison to Other Approaches
10. AI
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