2013
DOI: 10.1017/s001708951200081x
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Generators of the Eisenstein–picard Modular Group in Three Complex Dimensions

Abstract: Little is known about the generators system of the higher dimensional Picard modular groups. In this paper, we prove that the higher dimensional EisensteinPicard modular group PU(3, 1; ‫[ޚ‬ω 3 ]) in three complex dimensions can be generated by four given transformations.2000 Mathematics Subject Classification. Primary 32M05, 22E40; Secondary 32M15. Introduction. As the complex hyperbolic analogue of Bianchi groupsPSL(2; O d ), Picard modular groups are PU(n, 1; O d ), where O d is the ring of algebraic integer… Show more

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Cited by 4 publications
(7 citation statements)
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References 13 publications
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“…explicit fundamental domain, generators system of the higher dimensions Picard modular groups PU(n, 1; O d ). In [12], the continued fraction algorithm had been generalised to Picard modular groups in higher complex dimensions. It contained the first generalisation that we were aware of to a group of 4 × 4 matrices.…”
Section: Introductionmentioning
confidence: 99%
“…explicit fundamental domain, generators system of the higher dimensions Picard modular groups PU(n, 1; O d ). In [12], the continued fraction algorithm had been generalised to Picard modular groups in higher complex dimensions. It contained the first generalisation that we were aware of to a group of 4 × 4 matrices.…”
Section: Introductionmentioning
confidence: 99%
“…That is, ∞ ≡ {g ∈ PU(n, 1) : g(q ∞ ) = q ∞ }. We recall from [Falbel et al 2011a;Francsics and Lax 2005a;2005b;Xie et al 2013] that the Langlands decomposition can be used to parametrize a transformation in the stabilizer subgroup of q ∞ .…”
Section: The Generators Of the Stabilizermentioning
confidence: 99%
“…We observe that very little is known about the geometry and algebraic properties, e.g., explicit fundamental domain or generating system of the higherdimensional Picard modular groups PU(n, 1; ᏻ d ). In [Xie et al 2013], the continued fraction algorithm was generalized to Picard modular groups in higher complex dimensions. It contained the first generalization that we were aware of to a group of 4 × 4 matrices.…”
Section: Introductionmentioning
confidence: 99%
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