2021
DOI: 10.48550/arxiv.2110.08491
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Extremal metrics on toric manifolds and homogeneous toric bundles

An-Min Li,
Zhao Lian,
Li Sheng

Abstract: In this paper, we prove the Yau-Tian-Donaldson conjecture of the filtration version for toric manifolds and homogeneous toric bundles.

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Cited by 4 publications
(5 citation statements)
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“…In our case the situation is slightly complicated from the fact that in (4.1) both sides of the equation depend on ω. Under some simplifying assumptions, however, the proof of [37,Theorem 4.3] gives the required result also in our case. We reproduce the proof for the reader's convenience and in order to emphasise the dependence on sup|A(ω)|.…”
Section: Toric Estimatesmentioning
confidence: 69%
See 1 more Smart Citation
“…In our case the situation is slightly complicated from the fact that in (4.1) both sides of the equation depend on ω. Under some simplifying assumptions, however, the proof of [37,Theorem 4.3] gives the required result also in our case. We reproduce the proof for the reader's convenience and in order to emphasise the dependence on sup|A(ω)|.…”
Section: Toric Estimatesmentioning
confidence: 69%
“…The main technical tool to establish these estimates is [7, Theorem 1.2], where it is shown that the norm of any solution to the prescribed scalar curvature equation on a compact Kähler manifold can be estimated in terms of the entropy functional log ω n ω n 0 ω n and a C 0 -bound on the target function. In the toric setting, it is possible to obtain bounds on the entropy from uniform K-stability, see [37,Theorem 4.3]. In our case the situation is slightly complicated from the fact that in (4.1) both sides of the equation depend on ω.…”
Section: Toric Estimatesmentioning
confidence: 99%
“…Then B is contained in C * and consequently (K) C * implies (K) B . The latter condtion (K) B can be found in [56]. .…”
Section: 2mentioning
confidence: 94%
“…We end this paragraph by recalling that (1, w)-uniform stability of the lattice polytope [−1, 1] translates to existence of certain canonical Kähler metrics on P 1 thanks to [25]. (1,0)…”
Section: 4mentioning
confidence: 99%