The 3x+1 problem: a lower bound hypothesis
Olivier Rozier

TL;DR
This paper proposes a new hypothesis relating the initial terms of 3x+1 sequences to binary entropy, providing bounds on stopping times and excursions, aligning with prior stochastic models.
Contribution
It introduces a lower bound hypothesis based on binary entropy for the initial terms of 3x+1 sequences, offering new bounds and insights.
Findings
Supports the hypothesis with existing computations
Provides bounds for total stopping time
Aligns with previous stochastic models
Abstract
Much work has been done attempting to understand the dynamic behaviour of the so-called "3x+1" function. It is known that finite sequences of iterations with a given length and a given number of odd terms have some combinatorial properties modulo powers of two. In this paper, we formulate a new hypothesis asserting that the first terms of those sequences have a lower bound which depends on the binary entropy of the "ones-ratio". It is in agreement with all computations so far. Furthermore it implies accurate upper bounds for the total stopping time and the maximum excursion of an integer. Theses results are consistent with two previous stochastic models of the 3x+1 problem.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsBenford’s Law and Fraud Detection · Computability, Logic, AI Algorithms
