Hailstone numbers: Numbers generated by 3x+1 due to their up-down motion before settling.
Total stopping time: Total steps to reach the number 1.
Patterns and Analysis
Randomness in sequences before reaching one, similar to geometric Brownian motion (stock market).
Distribution of leading digits in sequences follows Benford’s Law, where lower digits (like 1) appear more frequently.
Despite the growth (3x+1) being powerful, the division by two ensures sequences trend downwards on average.
Average sequence shrinkage across many iterations.
Visualization
Directed graph visualization of number sequences.
Sequences resembling coral or seaweed patterns when visualized with rotations.
Computational Evidence
Collatz conjecture tested for every positive integer up to 2^68 (approx. 300 quintillion numbers).
No counterexamples found for finite sequences through brute force testing.
Proof Attempts
Approaches by Riho Terras, reducing number bounds steadily closer to 1 (1976 -> 1994).
Terence Tao (2019): Most numbers eventually get arbitrarily small, but not a full proof.
Undecidability
Collatz conjecture might be inherently undecidable, like the halting problem.
John Conway showed a generalization of 3x+1 (FRACTRAN) is turing-complete.
Counterexamples and Practical Impacts
Experience with negative numbers showing multiple loops.
Real-world detection examples using Benford’s Law in fraud detection and elections.
Open questions: Growth off to infinity? Unique counterexamples? Sequences in unexplored parts?
Summary
Collatz conjecture remains a mystery, deeply engaging yet unsolved, prompting deep mathematical contemplation and appreciation for numerical patterns and complexities.
Final Thoughts
Illustrates the unpredictable and peculiar nature of numbers.
Demonstrates that despite exhaustive searches and sophisticated analysis, simple questions can remain intractable.