4.1. Boundedness of Collatz Sequences
Lemma 18 (Finiteness and Non-emptiness of ). Let and define . Then is finite and non-empty.
Proof. We proceed by proving non-emptiness and finiteness separately:
Step 81. 1 Non-emptiness of :
- (a)
Observe that .
- (b)
Since for all :
- (c)
Therefore:
Step 82. 2 Finiteness of :
- (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.
Step 83. 3 Formal statement of the conclusion: □
Lemma 19 (Non-emptiness of T). Let , , and . Then .
Proof. We proceed with a formal proof using first-order logic, set theory, and properties of natural numbers:
Step 85. 2 Since , we have . Therefore, is well-defined.
Step 86. 3 From the definition of ceiling function:
Step 87. 4 Taking
of both sides (which is an increasing function):
Step 88. 5 We will prove that by showing:
- (a)
- (b)
Step 89. 6 To prove 5a, we use induction on i to show :
- (a)
- (b)
Inductive step: Assume
for some
. We prove for
:
- (c)
By the principle of mathematical induction:
- (d)
Since
, we have
. Therefore:
Step 91. 8 From steps 6d and 7, we conclude:
Step 93. 10 Formal statement of the conclusion:
□
Lemma 20 (Upper Bound of ). Let , , , and . Then .
Proof. We proceed with a formal proof using first-order logic and properties of real and natural numbers:
Step 95. 2 From the definition of ceiling function:
Step 96. 3 Taking
of both sides (which is an increasing function):
Step 97. 4 Dividing all parts by
:
Step 98. 5 From the definition of
T and
:
Step 99. 6 From steps 4 and 5:
Step 100. 7 Since
, by Lemma 21:
Step 101. 8 From steps 3 and 7:
Step 102. 9 Since
, we can conclude:
Step 103. 10 Formal statement of the conclusion:
□
Lemma 21 (Boundedness of ). Let and . Then .
Proof. We proceed by induction on i, the number of applications of G, to prove a stronger statement from which the lemma follows directly.
Step 104. 1 Define the proposition
:
Step 105. 2 Base case:
Step 106. 3 Inductive step: Assume is true for some . We prove :
Step 107. 3a Let .
Step 108. 3b By definition of G, such that .
Step 109. 3c By the inductive hypothesis:
Step 110. 3d By the monotonicity property of
G:
Step 111. 3e Combining (3c) and (3d):
Step 112. 3f Therefore, is true.
Step 113. 4 By the principle of mathematical induction:
Step 114. 5 Now, we prove the lemma statement:
Step 115. 5a Let be arbitrary.
Step 116. 5b By definition of
:
Step 117. 5c From step 4, we know that
is true, so:
Step 118. 5d Since
:
Step 119. 5e By transitivity of inequality:
Step 121. 6 Conclusion: We have shown that:
Which proves the lemma. □
Definition 8 (G-graph). Let be the inverse Collatz function as defined in Definition 2. The G-graph is a directed graph where:
A path in the G-graph from a to b is a sequence of vertices where , , and for all .
Lemma 22 (Uniqueness of Paths in G-graph). For any , there exists at most one path in the G-graph from 1 to a.
Proof. We prove this by induction on the length of the path.
Step 122. 1 Base case: For paths of length 0, the statement is trivially true as there is only one path of length 0 from 1 to 1.
Step 123. 2 Inductive hypothesis: Assume that for some , there is at most one path of length k from 1 to any number.
Step 124. 3 Inductive step: Consider a path of length from 1 to some number b. Let this path be .
Step 125. 4 By the definition of the G-graph, we have .
Step 126. 5 By the inductive hypothesis, the path from 1 to is unique.
Step 127. 6 Now, suppose for contradiction that there is another path of length from 1 to b, say .
Step 128. 7 We must have as well.
Step 129. 8 If , this would imply that contains two different elements, contradicting the multivalued injectivity of G (Lemma 10).
Step 130. 9 Therefore, , and by the inductive hypothesis, the paths and must be identical.
Step 131. 10 Thus, the two paths of length from 1 to b are identical.
By the principle of mathematical induction, we conclude that for any , there exists at most one path in the G-graph from 1 to a. □
Lemma 23 (Path Convergence in G-graph). For any two elements where , if there exist paths in the G-graph from 1 to a and from 1 to b, then these paths converge at some point and remain identical thereafter.
Proof. We proceed with a formal proof using first-order logic and set theory:
Step 132. 1 Let such that .
Step 133. 2 By Lemma 22, we know that the paths from 1 to
a and from 1 to
b are unique. Let these paths be:
where
and
.
Step 134. 3 Define the set of indices where the paths coincide:
Step 135. 4 Prove that
S is non-empty:
Step 136. 5 Since and , by the Well-Ordering Principle, S has a maximum element. Define:
Step 137. 6 Define the convergence point:
Step 138. 7 Prove that the paths are identical up to
k:
This follows directly from the definition of S and k.
Step 139. 8 Prove that the paths remain identical after
k:
Step 140. 9 Prove that
:
Step 141. 10 Conclusion: We have shown that the paths
and
converge at point
, where
, and remain identical thereafter. Formally:
where
denotes the common path after convergence. □
Lemma 24 (Existence of Paths in G-graph). Let be the inverse Collatz function as defined in Definition 2. For all , there exists a path in the G-graph from 1 to n.
Proof. We proceed by strong induction on n.
Step 142. 1 Base case: The trivial path satisfies the condition.
Step 143. 2 Inductive hypothesis: We assume the statement is true for all natural numbers less than or equal to some .
Step 144. 3 Inductive step: We prove for .
By the exhaustiveness property of
G (Lemma 8), we know that:
Step 145. 4 We consider two cases:
Case 29. 1 If : By the inductive hypothesis, there exists a path from 1 to q. Then, is a valid path from 1 to .
Case 30. 2 If : Then , since and by the monotonicity property of G (Theorem 8). In this case, we apply the same argument as in Case 1, but with .
Step 146. 5 In both cases, we have constructed a valid path from 1 to .
Step 147. 6 By the principle of strong induction, we conclude that the statement is true for all . □
Lemma 25 (Extension of G Properties Under Composition). Let be the inverse Collatz function. For all , the composition satisfies the following properties:
where denotes i successive applications of G.
Proof. The proof of this lemma is provided in Theorem 9. □
Theorem 10 (Generative Completeness of the Inverse Collatz Function)
. Let be the inverse Collatz function as defined in Definition 2. Assume G satisfies properties 1-7 as stated in Lemma 25. Then:
where denotes i successive applications of G, and .
Proof. We proceed with a formal proof using first-order logic and set theory:
Step 148. 1 Let be arbitrary.
Step 149. 2 Define . Justification: This choice of k ensures that , which will be crucial for our proof.
Lemma 26.For , we have .
Proof. By definition of ceiling function, .
Taking of both sides (which is an increasing function):
.
Therefore, .
□□
Step 150. 3 Define the set .
Explanation: This set contains all numbers that can be reached from 1 by applying G at most k times.
Step 151. 4 We now prove that is finite and non-empty:
Lemma 27.For all , is finite and non-empty.
Proof. Non-emptiness:
,
⇒.
Finiteness: We prove by induction on i that for all .
Base case:
.
Inductive step: Assume
for some
. Then:
By the principle of mathematical induction, for all .
Therefore,
.
□□
Step 152. 5 Define .
Explanation: This set contains all elements of that are at least .
Step 153. 6 We now prove that T is non-empty:
Lemma 28. is non-empty.
Proof. We will prove that :
First, we show :
We prove by induction that .
Base case:
.
Inductive step: Assume for some . Then:
for some .
.
By mathematical induction, .
Since , we have .
Therefore, .
Now, (by Lemma 26),
⇒.
Therefore, ,
⇒.
□□
Step 154. 7 Define .
Justification: By Axiom 4 (Well-ordering Principle), since T is a non-empty subset of , it has a least element, which we define as .
Step 155. 8 We now prove that :
Proof. By definition, .
By Lemma 23, .
Therefore, (by Lemma 26).
Since , we conclude .
□□
Step 156. 9 Claim 1:
Proof of Claim 1:
Let be arbitrary.
By the exhaustiveness property of G (Property 4 in Lemma 25):
Let .
X is non-empty (contains n) and finite (subset of finite ).
Let (exists by Axiom 4).
Then (since by choice of k).
We have ,
.
By definition of :
By Lemma 23, the paths from 1 to and from 1 to x in the G-graph converge at some point and remain identical thereafter.
Let l be the number of steps from 1 to c in the G-graph.
Let p be the number of steps from c to x in the G-graph.
Then:
By Theorem 9,
Since and for some , we have:
where
Step 157. 10 Claim 2:
Proof of Claim 2:
Let be arbitrary.
By definition of :
Let .
Then:
This implies: and (since )
By monotonicity of G (Property 3 in Lemma 25) and Theorem 9:
For :
For :
Therefore:
Step 158. 11 Conclusion: We have shown that:
Step 159. 12 As N was arbitrary, this holds for all , completing the proof.
Corollary 1 (Connection between G and C). Let be the Collatz function as defined in Definition 5, and be its inverse function as defined in Definition 7.
If for some , there exist and such that:
Then, for any Collatz sequence generated by C with :
Proof. Let be a Collatz sequence with .
Step 160. 1 Define .
Step 161. 2 We prove by induction on j that .
Step 162. 3 Base case: For
:
Step 163. 4 Inductive hypothesis: Assume for some . We prove .
Step 164. 5 We consider three cases:
Case 31. 1 If :
- (a)
(by Property 2 of the hypothesis)
- (b)
(by Lemma 13)
- (c)
(by Property 2 of the hypothesis and definition of M)
Case 32. 2 If :
We consider two subcases:
Subcase 13. 2a If
is even:
Subcase 14. 2b If is odd:
- (a)
- (b)
(by definition of M)
Case 33. 3 If :
We consider two subcases:
Subcase 15. 3a If
is even:
Subcase 16. 3b If is odd:
- (a)
- (b)
Since , we know
- (c)
Therefore,
- (d)
We need to show that
:
- (e)
Therefore,
Step 165: 6 In all cases, we have shown .
Step 166: 7 By the principle of mathematical induction, we conclude:
□
Lemma 30 (Equivalence of Properties between C and G). Let be the Collatz function and be its inverse function as defined in Definitions 5 and 7 respectively. Then, for any property P of sequences in , the following are equivalent:
For all Collatz sequences generated by C, holds.
For all sequences such that for all , holds.
Proof. First, let us recall that C and G are well-defined according to the following lemmas:
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.
We will now proceed to prove both directions of the equivalence.
Step 167: 1 (1 ⇒ 2): Assume that for all Collatz sequences generated by C, holds.
Let
be any sequence such that
for all
. Define a sequence
as follows:
We claim that for all . We prove this by induction:
Step 168: 2 Base case: by definition.
Step 169: 3 Inductive step: Assume
for some
. Then:
Therefore, , completing the induction.
Step 170: 4 Since is a Collatz sequence, holds by assumption. As for all , we have .
Step 171: 5 (2 ⇒ 1): Assume that for all sequences such that for all , holds.
Let
be any Collatz sequence generated by
C. Then for all
:
Therefore, satisfies the condition for all . By assumption, holds.
Step 172: 6 Thus, we have shown both directions of the equivalence, completing the proof. □
Theorem 11 (Boundedness of Collatz Sequences)
. Let be the Collatz function defined as:
Then, for all , the Collatz sequence generated by C with is bounded.
where is defined by and for .
Proof. We will prove this theorem using the properties of the inverse Collatz function G and its relationship with C, leveraging Lemma 30. Let’s proceed step by step:
Step 173: 1 Let be arbitrary.
Step 174: 2 Define and .
Lemma 31.For , we have .
Proof. By definition of ceiling function, .
Taking of both sides (which is an increasing function):
.
Therefore, .
□□
Step 175: 3 By Theorem 10, we know that:
Step 176: 4 Let .
Step 177: 5 Define the property
P for sequences
as:
Step 178: 6 We will now prove that P holds for all sequences such that for all .
Step 179: 7 Let be any such sequence. We prove by induction on k.
Step 180: 8 Base case:
Step 181: 9 Inductive hypothesis: Assume for some .
Step 182: 10 Inductive step: We need to prove .
Step 183: 11 We know that . Consider three cases:
Case 34. 1 If :
- (a)
(by property of )
- (b)
(by definition of G)
- (c)
(by property of and definition of M)
Case 35. 2 If :
By the definition of G, is either or .
If , then .
If , then .
Case 36. 3 If :
- (a)
If , then (since )
- (b)
If , then
Step 184: 12 By the principle of mathematical induction, we conclude:
Step 185. 13 Thus, we have shown that P holds for all sequences such that for all .
Step 186. 14 Now, we apply Lemma 30 (Equivalence of Properties between C and G) to transition from properties of G to properties of C:
Step 187. 15 By Lemma 30, since we have shown that the boundedness property holds for all sequences generated by G, it must also hold for all Collatz sequences generated by C.
Step 188. 16 Therefore, for the Collatz sequence
with
:
Step 189. 17 Since
n was arbitrary, we can conclude:
This completes the proof that every Collatz sequence is bounded.
Definition 9 (Eventually Non-Periodic Subsequence)
. Let be a sequence and be a subsequence starting from index N. We say that is eventually non-periodic if:
In other words, for any potential period p, there exists a point K in the sequence after which no term is equal to any term p positions ahead of it.
Lemma 32 (Monotonicity of Eventually Non-Periodic Collatz Subsequences). Let be a Collatz sequence. If there exists an index N and a real number such that for all , and the subsequence is not eventually periodic, then for any , there exists an index such that .
where is the set of all Collatz sequences, and is a predicate that is true if and only if is eventually periodic.
Proof. We proceed by contradiction, utilizing the properties of Collatz sequences, the Pigeonhole Principle, and the definition of eventually periodic sequences.
Step 190. 1 Let
be a Collatz sequence,
, and
with
, such that:
and
is not eventually periodic.
Step 191. 2 Let be arbitrary.
Step 192. 3 Assume, for the sake of contradiction, that:
Step 193. 4 This implies that the subsequence is bounded above by and below by L.
Step 194. 5 Define the set . Note that S is non-empty and countable.
Step 195. 6 Since and is bounded, it is finite. Let for some .
Step 196. 7 Define a function by for .
Step 197. 8 By the Pigeonhole Principle (Theorem 2), since the domain of
f is infinite and its codomain
S is finite, there must exist at least two distinct elements in the domain that map to the same element in the codomain. Formally:
Step 198. 9 This implies:
Step 199. 10 Let
. Then for all
:
Step 200. 11 This means that the sequence is periodic with period p.
Step 201. 12 Now, we will show that this contradicts our assumption that is not eventually periodic.
Step 202. 13 Recall the definition of an eventually periodic sequence:
Definition 10 (Eventually Periodic Sequence)
. A sequence is eventually periodic if:
Step 203. 14 In our case, we have shown that:
Step 204. 15 Since (because and ), this means that is eventually periodic.
Step 205. 16 This directly contradicts our initial assumption that is not eventually periodic.
Step 206. 17 Therefore, our assumption in step 3 must be false. Thus, we can conclude:
Step 207. 18 Since was arbitrary, this holds for all .
This completes the proof of the lemma. □
Remark 2 (Connection to the Resolution of the Collatz Conjecture). This lemma plays a crucial role in the resolution of the Collatz Conjecture by establishing a key property of non-periodic Collatz sequences. Here’s how it connects to the final resolution:
- (1)
The lemma shows that for any non-periodic subsequence of a Collatz sequence that is bounded below by a value greater than 1, there will always be a future term that exceeds any given term in the subsequence.
- (2)
This property is crucial because it eliminates the possibility of non-periodic Collatz sequences that are bounded both above and below by values greater than 1.
- (3)
-
In the context of the Collatz Conjecture, this means that any Collatz sequence that doesn’t eventually reach 1 (or enter the cycle 1, 4, 2) must either:
- (a)
Grow unboundedly (which is ruled out by Theorem 11), or
- (b)
Become periodic (which is ruled out by Theorem 13 and Theorem 14, as 1, 4, 2 is the only possible cycle).
- (4)
Therefore, this lemma, in conjunction with other theorems, effectively "forces" all Collatz sequences to eventually reach 1, by eliminating all other possible long-term behaviors.
- (5)
In the proof of Theorem 17, this lemma supports the argument that all sequences must eventually enter the cycle 1, 4, 2, as it rules out the possibility of sequences that remain bounded away from 1 without becoming periodic.
Thus, while this lemma doesn’t directly prove the Collatz Conjecture, it establishes a critical property that, when combined with other results, makes the final resolution possible.
4.2. Cycle Properties
Definition 11 (Cycle in Collatz Sequence). Let be a Collatz sequence. A non-empty finite subset is called a cycle in if and only if:
where C is the Collatz function as defined in Definition 5.
Definition 12 (IsCycle Predicate)
. Let be a Collatz sequence and be a non-empty finite set. The predicate is defined as:
where C is the Collatz function as defined in Definition 5.
Theorem 12 (Existence of a Cycle in Every Collatz Sequence). For any Collatz sequence , there exists at least one cycle.
Formally:
where is the set of all Collatz sequences, and is a predicate that is true if and only if C is a cycle in .
Proof. We proceed with a formal proof using first-order logic, set theory, and the properties of Collatz sequences:
Let be an arbitrary Collatz sequence.
By Theorem 11 (Boundedness of Collatz Sequences), we know that:
Define the set
. Formally:
We now prove that
S is finite:
Define the sequence of pairs .
-
We will now apply the Pigeonhole Principle to P and S:
Lemma 33 (Application of Pigeonhole Principle). Given an infinite sequence of pairs where and S is a finite set, there must exist at least two distinct indices such that .
Proof.
- (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.
□
By Lemma 33, we can conclude:
-
We now prove that this repetition implies the existence of a cycle:
Lemma 34 (Repetition Implies Cycle). Let be a Collatz sequence. If there exist indices such that , then the subsequence forms a cycle.
Proof.
- (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:
- i
C is non-empty and finite: since , and .
- ii
C is closed under the Collatz function: Then If , then by definition. If , then .
- iii
C repeats indefinitely in the sequence: This follows from as proved above.
- (h)
Therefore, C is a cycle in .
□
Applying Lemma 34 to the indices i and j found in step 7, we conclude that the subsequence forms a cycle.
Let . Then and is true.
Therefore, we have shown that for the arbitrary Collatz sequence , there exists at least one cycle C.
As
was arbitrary, we can conclude:
This completes the proof of the existence of a cycle in every Collatz sequence.
Lemma 35 (Finiteness of Collatz Cycles). Every cycle in a Collatz sequence is finite.
Proof. We proceed by contradiction.
1) Suppose there exists an infinite cycle in a Collatz sequence. Let’s call this cycle .
2) Let be the smallest element in this cycle. We know m exists because is well-ordered.
3) Since m is in the cycle, there must be a finite number of steps in the Collatz sequence that bring us back to m. Let’s call this number of steps k.
4) Consider the subsequence where and all are in .
5) Now, for each in S, we have two possibilities:
a) If is even, then
b) If is odd, then
6) For S to form a cycle, there must be at least one even number and one odd number in the sequence (otherwise, the sequence would be strictly increasing or decreasing and couldn’t return to m).
7) Let p be the product of all elements in S:
8) After one complete cycle, we return to m, so:
where e is the number of division by 2 operations and o is the number of multiplication by 3 and addition of 1 operations.
9) Simplifying, we get:
10) However, this equation has no solution for integer and , as the left side is an integer and the right side is a non-integer rational number.
11) This contradicts our assumption that an infinite cycle exists.
Therefore, we conclude that every cycle in a Collatz sequence must be finite. □
Theorem 13 (Uniqueness of the Cycle in Collatz Sequences). For any Collatz sequence , there exists exactly one cycle.
Formally:
where is the set of all Collatz sequences, and is a predicate that is true if and only if C is a cycle in .
Proof. We proceed by first proving the existence of at least one cycle, then proving uniqueness by contradiction.
Step 208. 1 Existence of a cycle: By Theorem 12, we know that every Collatz sequence contains at least one cycle.
Step 209. 2 Uniqueness: Assume, for the sake of contradiction, that there exist two distinct cycles in . Let these cycles be and , where .
Step 210. 3 By the definition of a Collatz sequence (Definition 6):
where
C is the Collatz function (Definition 1).
Step 211. 4 Since
and
are cycles in the same sequence,
such that:
Step 212. 5 Without loss of generality, assume .
Step 213. 6 We now prove that once the sequence enters , it cannot escape:
Lemma 36 (Cycle Invariance). Let be a Collatz sequence and be a cycle in this sequence. If for some , then .
Proof. Let
. Then
. By the definition of a cycle:
In both cases,
. □
Step 214. 7 By the Cycle Invariance Lemma (Lemma 36), we know that:
Step 215. 8 We can prove this by induction:
Base case: By assumption, .
Inductive step: Assume for some . We prove it for : By the Cycle Invariance Lemma, .
By the principle of mathematical induction, .
Step 216. 9 However, this contradicts the existence of , as and .
Step 217. 10 To formalize this contradiction:
Step 218. 11 However,
and
are distinct cycles, which implies:
Step 219. 12 This is a contradiction, as a set cannot be both empty and non-empty. Formally:
Step 220. 13 Therefore, our assumption must be false, and there cannot be two distinct cycles in .
Step 221. 14 Combined with the fact that at least one cycle exists (from Step 1), we conclude that every Collatz sequence contains exactly one cycle.
This completes the proof of the uniqueness of the cycle in Collatz sequences.
Theorem 14 (Nature of the Unique Cycle in Collatz Sequences)
. Let be the Collatz function defined as:
For any Collatz sequence defined by and for , the unique cycle is . Formally:
where is the set of all Collatz sequences, and is a predicate that is true if and only if M is a cycle in .
Proof. We proceed in three main steps: first, we prove that is indeed a cycle, then we show that any cycle must contain 1, and finally we prove that is the only possible cycle.
Step 222. 1 Proof that
is a cycle
Thus,
satisfies the definition of a cycle.
Step 223. 2 Proof that any cycle must contain 1
By Theorem 13 (Uniqueness of the Cycle in Collatz Sequences), we know that there exists exactly one cycle in any Collatz sequence. Let be this unique cycle in an arbitrary Collatz sequence , where .
- (a)
Let . We will prove that .
- (b)
Assume, for the sake of contradiction, that .
- (c)
If m is even, then , contradicting the minimality of m. Therefore, m must be odd.
- (d)
Since m is odd and in the cycle, .
- (e)
is even, so .
- (f)
We now prove that if and only if :
Lemma 37 (Characterization of Minimal Cycle Element). For , if and only if .
Proof. (⇒) Assume
. Then:
Therefore, . □
- (g)
By Lemma 37, since , we have .
- (h)
This implies , contradicting the minimality of m in M.
- (i)
Therefore, our assumption must be false, and .
Step 224. 3 Proof that is the only possible cycle
We now show that no cycle other than can exist, even if it contains 1.
- (a)
We have established that 1 must be in the cycle. Let’s consider the sequence starting from 1:
- (b)
, so 4 must be in the cycle.
- (c)
, so 2 must be in the cycle.
- (d)
, which brings us back to 1.
- (e)
-
Now, let’s prove that no other numbers can be in the cycle:
Lemma 38 (No Additional Elements in Cycle). If a cycle contains 1, it cannot contain any numbers other than 1, 4, and 2.
Proof. Assume, for the sake of contradiction, that there exists a number where .
Case 1: If x is even, then . For this to be in the cycle, we must have . But (since ), and (since ). Contradiction.
Case 2: If x is odd, then . For this to be in the cycle, we must have . But for all , so . And for any odd . Contradiction.
Therefore, no such x can exist in the cycle. □
- (f)
By Lemma 38, we conclude that the cycle cannot contain any numbers other than 1, 4, and 2.
Step 225. 4 Conclusion: We have shown that:
is a cycle.
Any cycle must contain 1.
A cycle containing 1 can only contain 1, 4, and 2.
Therefore, we conclude that is the only possible cycle in any Collatz sequence.
Thus, we have proven:
which completes the proof of the nature of the unique cycle in Collatz sequences.