2011
DOI: 10.1090/s0002-9947-2011-05273-6
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Estimates for invariant metrics on $\mathbb C$-convex domains

Abstract: Abstract. Geometric lower and upper estimates are obtained for invariant metrics on C-convex domains containing no complex lines.

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Cited by 34 publications
(28 citation statements)
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“…the Lempert theorem, resp. κ D ≤ 4γ D by[11, Corollary 2]. Then Theorem 1 and the estimate D is comparable with γ D and κ D on any non-degenerate C-convex domain D in C n up to multiplicative constants depending only on n.Our second result is about the boundary behavior of the squeezing function near a smooth boundary point of a plane domain.By [2, Theorem 5.3], resp.…”
mentioning
confidence: 72%
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“…the Lempert theorem, resp. κ D ≤ 4γ D by[11, Corollary 2]. Then Theorem 1 and the estimate D is comparable with γ D and κ D on any non-degenerate C-convex domain D in C n up to multiplicative constants depending only on n.Our second result is about the boundary behavior of the squeezing function near a smooth boundary point of a plane domain.By [2, Theorem 5.3], resp.…”
mentioning
confidence: 72%
“…As an application of Theorem 1, we shall prove briefly one of the main results in [11] (whose original proof is close to that of [8, Theorem 1.1]). Denote by γ D , κ D and β D the Carathéodory, the Kobayashi and the Bergman metrics of D. It is well-known that To refine [2, Theorem 5.3], recall that a C 1 -smooth bounded domain D in C n is said to be Dini-smooth if the inner unit normal vector n to ∂D is Dini-continuous.…”
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confidence: 94%
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“…The proof that I ⊂ 2 will be similar to the proof of Proposition 1 in [95]. For X = ϕ (0) ∈Ī by L denote the complex line generated by X .…”
Section: Theorem 74 Let Be Bounded and Hyperconvex Thenmentioning
confidence: 86%
“…Estimates on the infinitesimal Kobayashi metric were established for C-convex sets in [22]. In particular, the Bergman, Carathéodory, and Kobayashi metrics are all bi-Lipschitz [22, Proposition 1, Theorem 12] for C-convex sets which do not contain any complex affine lines.…”
Section: Introductionmentioning
confidence: 99%