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Journal of Number Theory
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License: Elsevier Non-Commercial
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Journal of Number Theory
Article . 2015 . Peer-reviewed
License: Elsevier Non-Commercial
Data sources: Crossref
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Generalized Markoff equations and Chebyshev polynomials

Authors: Donald McGinn;

Generalized Markoff equations and Chebyshev polynomials

Abstract

Abstract The Markoff equation is x 2 + y 2 + z 2 = 3 x y z , and all of the positive integer solutions of this equation occur on one tree generated from ( 1 , 1 , 1 ) , called the Markoff tree. In this paper, we consider trees of solutions to x 2 + y 2 + z 2 = x y z + A . We say a tree satisfies the unicity condition if the maximum element of an ordered triple in the tree uniquely determines the other two. The unicity conjecture says that the Markoff tree satisfies the unicity condition. In this paper, we show that there exists a sequence of real numbers { c n } such that each tree generated from ( 1 , c n , c n ) satisfies the unicity condition, and that these trees converge to the Markoff tree. We accomplish this by recasting polynomial solutions as linear combinations of Chebyshev polynomials, showing that these polynomials are distinct, and evaluating them at certain values.

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citations
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!
2
Average
Average
Average
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