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arXiv 1105.2883math.MGmath.DGmath.PR
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区间上的最优输运与里奇曲率:Wasserstein空间

Optimal Transport and Ricci Curvature: Wasserstein Space Over the Interval

Otis Chodosh

摘要:

本文讨论了测地测度空间上的最优输运的概念和相应的(2-)Wasserstein距离。然后,我们研究位移凸性的熵泛函的空间上的概率测度。特别地,我们给出了广义Ricci界的Lott-Villani-Sturm概念与光滑流形的经典概念一致的详细证明.证明了广义Ricci界在格罗莫夫-豪斯多夫收敛下是保持的。特别是,我们详细研究了空间的概率测度的间隔,$P(X)$配备Wasserstein度量$d^W$。我们表明,这个度量空间是等距的希尔伯特空间,$L^2[0,1]$,这使得具体的计算,相反的通常状态的最优输运理论的事务的一个完全凸的子集。我们明确地证明了$(P(X),d^W)$有消失的Alexandrov曲率,并给出了一个易于工作的表达式,在这个空间上的熵泛函。此外,我们研究有限维Gromov-Hausdorff近似这个空间,并使用这些来构建一个措施的极限空间,熵措施首先考虑冯Renesse和Sturm。我们研究的措施,特别是解释为什么人们会期望它有广义里奇下界的性质。然后,我们表明,这实际上是不正确的。我们还讨论了找到一个不同的措施,承认广义里奇下界的可能性和后果。

英文摘要:

In this essay, we discuss the notion of optimal transport on geodesic measure spaces and the associated (2-)Wasserstein distance. We then examine displacement convexity of the entropy functional on the space of probability measures. In particular, we give a detailed proof that the Lott-Villani-Sturm notion of generalized Ricci bounds agree with the classical notion on smooth manifolds. We also give the proof that generalized Ricci bounds are preserved under Gromov-Hausdorff convergence. In particular, we examine in detail the space of probability measures over the interval, $P(X)$ equipped with the Wasserstein metric $d^W$. We show that this metric space is isometric to a totally convex subset of a Hilbert space, $L^2[0,1]$, which allows for concrete calculations, contrary to the usual state of affairs in the theory of optimal transport. We prove explicitly that $(P(X),d^W)$ has vanishing Alexandrov curvature, and give an easy to work with expression for the entropy functional on this space. In addition, we examine finite dimensional Gromov-Hausdorff approximations to this space, and use these to construct a measure on the limit space, the entropic measure first considered by Von Renesse and Sturm. We examine properties of the measure, in particular explaining why one would expect it to have generalized Ricci lower bounds. We then show that this is in fact not true. We also discuss the possibility and consequences of finding a different measure which does admit generalized Ricci lower bounds.

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