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2017 Convexity of the extended K-energy and the large time behavior of the weak Calabi flow
Robert Berman, Tamás Darvas, Chinh Lu
Geom. Topol. 21(5): 2945-2988 (2017). DOI: 10.2140/gt.2017.21.2945

Abstract

Let (X,ω) be a compact connected Kähler manifold and denote by (p,dp) the metric completion of the space of Kähler potentials ω with respect to the Lp–type path length metric dp. First, we show that the natural analytic extension of the (twisted) Mabuchi K-energy to p is a dp–lsc functional that is convex along finite-energy geodesics. Second, following the program of J Streets, we use this to study the asymptotics of the weak (twisted) Calabi flow inside the CAT(0) metric space (2,d2). This flow exists for all times and coincides with the usual smooth (twisted) Calabi flow whenever the latter exists. We show that the weak (twisted) Calabi flow either diverges with respect to the d2–metric or it d1–converges to some minimizer of the K-energy inside 2. This gives the first concrete result about the long-time convergence of this flow on general Kähler manifolds, partially confirming a conjecture of Donaldson. We investigate the possibility of constructing destabilizing geodesic rays asymptotic to diverging weak (twisted) Calabi trajectories, and give a result in the case when the twisting form is Kähler. Finally, when a cscK metric exists in ω, our results imply that the weak Calabi flow d1–converges to such a metric.

Citation

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Robert Berman. Tamás Darvas. Chinh Lu. "Convexity of the extended K-energy and the large time behavior of the weak Calabi flow." Geom. Topol. 21 (5) 2945 - 2988, 2017. https://doi.org/10.2140/gt.2017.21.2945

Information

Received: 19 November 2015; Revised: 10 July 2016; Accepted: 22 October 2016; Published: 2017
First available in Project Euclid: 16 November 2017

zbMATH: 1372.53073
MathSciNet: MR3687111
Digital Object Identifier: 10.2140/gt.2017.21.2945

Subjects:
Primary: 53C55
Secondary: 32U05 , 32W20

Keywords: Calabi flow , complex Monge–Ampère equations , Kähler metrics

Rights: Copyright © 2017 Mathematical Sciences Publishers

Vol.21 • No. 5 • 2017
MSP
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