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ZENODO
Preprint . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
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On the Global Ergodic Convergence of Collatz Mapping in the Integer Domain

Authors: Feng, YuLing;

On the Global Ergodic Convergence of Collatz Mapping in the Integer Domain

Abstract

By constructing a Lyapunov potential function based on 2-adic measure, this paper demonstrates the convergence of the Collatz mapping[1] (the 3n+1 conjecture) in the domain of positive integers[2]. We prove that the mapping operator exhibits a negative drift expectation in the logarithmic measure space and rule out the existence of non-trivial closed cycles through phase analysis of (mod 6) congruence classes. The final results indicate that any orbit starting from n∈N+ must intersect with the attractor set of powers of two, S={2k}, within finite steps, leading to a collapse toward the identity element 1. Keywords: Collatz Conjecture; 2-adic Valuation; Lyapunov Stability; Ergodicity of Integer Sequences; Logarithmic Drift; Phase Transition in Arithmetic Dynamics; Attractor Basins.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average