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Research in Number Theory
Article . 2024 . Peer-reviewed
License: CC BY
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An almost linear time algorithm testing whether the Markoff graph modulo p is connected

An almost linear time algorithm testing whether the Markoff graph modulo \(p\) is connected
Authors: Colby Austin Brown;

An almost linear time algorithm testing whether the Markoff graph modulo p is connected

Abstract

Abstract The Markoff graphs modulo p were proven by Chen (Ann Math 199(1), 2024) to be connected for all but finitely many primes, and Baragar (The Markoff equation and equations of Hurwitz. Brown University, 1991) conjectured that they are connected for all primes, equivalently that every solution to the Markoff equation modulo p lifts to a solution over $$\mathbb {Z}$$ Z . In this paper, we provide an algorithmic realization of the process introduced by Bourgain et al. [arXiv:1607.01530] to test whether the Markoff graph modulo p is connected for arbitrary primes. Our algorithm runs in $$o(p^{1 + \epsilon })$$ o ( p 1 + ϵ ) time for every $$\epsilon > 0$$ ϵ > 0 . We demonstrate this algorithm by confirming that the Markoff graph modulo p is connected for all primes less than one million.

Keywords

Mathematics - Number Theory, Varieties over finite and local fields, Hasse principle, weak and strong approximation, Brauer-Manin obstruction, Cubic and quartic Diophantine equations, 11Y16, Number-theoretic algorithms; complexity

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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!
1
Average
Average
Average
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