2017
DOI: 10.4310/mrl.2017.v24.n3.a5
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K-stability for Kähler manifolds

Abstract: Abstract. We formulate a notion of K-stability for Kähler manifolds, and prove one direction of the Yau-Tian-Donaldson conjecture in this setting. More precisely, we prove that the Mabuchi functional being bounded below (resp. coercive) implies K-semistability (resp. uniformly K-stable). In particular this shows that the existence of a constant scalar curvature Kähler metric implies K-semistability, and K-stability if one assumes the automorphism group is discrete. We also show how Stoppa's argument holds in t… Show more

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Cited by 55 publications
(114 citation statements)
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“…Firstly, we will relate the norms of test configurations and their corresponding geodesics. Using this, we will also be able to characterise the trivial Kähler test configurations, clarifying the definition of K-stability given in [24] (by the pathological examples of Li-Xu [34], it is a rather subtle problem to understand what it means for a test configuration to be trivial, even in the projective case). The minimum norm [22] is also called the "non-Archimedean J-functional" [12].…”
Section: Here T Denotes the Set Of Test Configurations For (X [ω]) mentioning
confidence: 99%
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“…Firstly, we will relate the norms of test configurations and their corresponding geodesics. Using this, we will also be able to characterise the trivial Kähler test configurations, clarifying the definition of K-stability given in [24] (by the pathological examples of Li-Xu [34], it is a rather subtle problem to understand what it means for a test configuration to be trivial, even in the projective case). The minimum norm [22] is also called the "non-Archimedean J-functional" [12].…”
Section: Here T Denotes the Set Of Test Configurations For (X [ω]) mentioning
confidence: 99%
“…Although this article is essentially a sequel to [24,43], where Theorem 1.1 was proven, the techniques used are very different. In [24,43] the main theme was to differentiate energy functionals on the space of Kähler metrics along certain paths induced by test configurations.…”
Section: Comparison With Other Workmentioning
confidence: 99%
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