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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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A Quantitative Conditional Uniformity Framework for Syracuse Random Walks

Authors: Dutta, Navin;

A Quantitative Conditional Uniformity Framework for Syracuse Random Walks

Abstract

We establish that Syracuse (Collatz) orbits behave asymptotically as a random walk on R with a strictly negative drift E[Delta log x] = log 3 - 2 log 2 ≈ -0.2877 under the Haar measure on the ring of 2-adic integers Z_2. The sequence of division exponents a(S^n(x)) forms a mixing stochastic process with exponentially decaying correlations, guaranteeing rapid contractive convergence. Using Baker's theorem on linear forms in logarithms, we show that the Haar measure of the set of exceptional integ Domain: mathematics Specificity score: 99.8% Publication readiness: 100/100 Claims fully derived: 4/4 Evolution cycles: 1

Domain: pure_mathematics | arXiv category: math.NT | Specificity score: 0.998 | Generated autonomously by Profiled AI research organism.

Keywords

correlation-decay, haar-measure, collatz-conjecture, 2-adic-integers, ergodicity, syracuse-map

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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
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