2017
DOI: 10.1512/iumj.2017.66.6045
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The local maxima of maximal injectivity radius among hyperbolic surfaces

Abstract: The function on the Teichmüller space of complete, orientable, finite-area hyperbolic surfaces of a fixed topological type that assigns to a hyperbolic surface its maximal injectivity radius has no local maxima that are not global maxima.Let T g,n be the Teichmüller space of complete, orientable, finite-area hyperbolic surfaces of genus g with n cusps. In this paper we begin to analyze the function max : T g,n → R + that assigns to S ∈ T g,n its maximal injectivity radius. The injectivity radius of S at x, inj… Show more

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Cited by 2 publications
(4 citation statements)
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“…Our results are complementary to [13] and generalise the main case of [7]. The main new case here, which is an important tool in our subsequent works [11] and [10], covers finite subsets of finite-volume non-compact hyperbolic manifolds. Compared to previous work this case exhibits substantial differences in the nature of the cells produced and of the decomposition's "geometric duality" relationship with the Voronoi tessellation.…”
supporting
confidence: 60%
“…Our results are complementary to [13] and generalise the main case of [7]. The main new case here, which is an important tool in our subsequent works [11] and [10], covers finite subsets of finite-volume non-compact hyperbolic manifolds. Compared to previous work this case exhibits substantial differences in the nature of the cells produced and of the decomposition's "geometric duality" relationship with the Voronoi tessellation.…”
supporting
confidence: 60%
“…In particular, can this occur if k divides both 6χ and n, where χ is the Euler characteristic of Σ and n its number of cusps? Gendulphe answered this "no" for k = 1 [17], extending my result on the orientable case [11].…”
mentioning
confidence: 70%
“…The main ingredient in the proof of Proposition 4.3 is Lemma 4.7 below. It was suggested by a referee for [11], who sketched the proof I give here. Lemma 4.7.…”
Section: Generic Non-sharpnessmentioning
confidence: 97%
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