2010
DOI: 10.1515/crelle.2010.019
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Kähler-Ricci flow on stable Fano manifolds

Abstract: Abstract. We study the Kähler-Ricci flow on Fano manifolds. We show that if the curvature is bounded along the flow and if the manifold is K-polystable and asymptotically Chow semistable, then the flow converges exponentially fast to a Kähler-Einstein metric.

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Cited by 33 publications
(31 citation statements)
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“…It was shown in [16,19,30] that on a manifold with positive first Chern class the flow converges to a Kähler-Einstein metric when one exists. Convergence is also known under certain weaker assumptions (see [6,14,17,18,27,31,37] and the discussions therein).…”
Section: Introductionmentioning
confidence: 99%
“…It was shown in [16,19,30] that on a manifold with positive first Chern class the flow converges to a Kähler-Einstein metric when one exists. Convergence is also known under certain weaker assumptions (see [6,14,17,18,27,31,37] and the discussions therein).…”
Section: Introductionmentioning
confidence: 99%
“…By a conjecture of Yau [40], a necessary and su‰cient condition for M to admit a Kähler-Einstein metric is that M be 'stable in the sense of geometric invariant theory'. Indeed, the problem of using stabil-ity conditions to prove convergence properties of the Kähler-Ricci flow is an area of considerable current interest and we refer the reader to [21], [19], [22], [23], [25], [31], [24], [36] and [5] for some recent advances (however, this list of references is far from complete). One might expect that the su‰ciency part of the Yau-Tian-Donaldson conjecture can be proved via the flow (1.1).…”
Section: Introductionmentioning
confidence: 99%
“…If we assume one of the Gromov-Hausdorff limit is smooth, then the uniqueness statement follows from the main result of [31] (based on the Lojasiewicz-Simon technique). The part on the relation with K-stability is new even if we assume the curvature of ω(t) is uniformly bounded, under which Székelyhidi [33] and Tosatti [39] have obtained some partial results with extra assumptions. Theorem 1.2 follows from a finite dimensional result that we will elaborate in Section 2.…”
Section: Introductionmentioning
confidence: 99%