代数超曲面间的最优传输

IF 2.4 1区 数学 Q1 MATHEMATICS
Paolo Antonini, Fabio Cavalletti, Antonio Lerario
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引用次数: 0

摘要

将一个射影超曲面变形成另一个的最佳方式是什么?本文将从测度论的角度来回答这个问题,引入复代数射影超曲面之间的最优输运问题。首先,构造给定度的超曲面空间到投影空间测度空间的自然拓扑嵌入;然后,通过约束动力学公式定义超曲面之间的最优传输问题,最小化位于该嵌入图像上的绝对连续曲线的能量。在此基础上,引入了齐次多项式射影空间上的内Wasserstein距离。这个距离比富比尼研究的距离要小。内Wasserstein距离是完备的和测地线的:测地线对应于一个代数超曲面到另一个代数超曲面的最佳变形。在判别式之外,这个距离是由一个光滑的黎曼度规引起的,它是一个显式厄米结构的实部。该厄米结构为Kähler,其度规为Weil-Petersson型。为了证明这些结果,我们开发了新的技术,将复杂和辛几何与最佳传输相结合,我们希望它们本身具有相关性。讨论了多元多项式族零的正则性和多项式系统解的条件数的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal Transport Between Algebraic Hypersurfaces

What is the optimal way to deform a projective hypersurface into another one? In this paper we will answer this question adopting the point of view of measure theory, introducing the optimal transport problem between complex algebraic projective hypersurfaces.

First, a natural topological embedding of the space of hypersurfaces of a given degree into the space of measures on the projective space is constructed. Then, the optimal transport problem between hypersurfaces is defined through a constrained dynamical formulation, minimizing the energy of absolutely continuous curves which lie on the image of this embedding. In this way an inner Wasserstein distance on the projective space of homogeneous polynomials is introduced. This distance is finer than the Fubini–Study one.

The innner Wasserstein distance is complete and geodesic: geodesics corresponds to optimal deformations of one algebraic hypersurface into another one. Outside the discriminant this distance is induced by a smooth Riemannian metric, which is the real part of an explicit Hermitian structure. Moreover, this Hermitian structure is Kähler and the corresponding metric is of Weil–Petersson type.

To prove these results we develop new techniques, which combine complex and symplectic geometry with optimal transport, and which we expect to be relevant on their own.

We discuss applications on the regularity of the zeroes of a family of multivariate polynomials and on the condition number of polynomial systems solving.

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来源期刊
CiteScore
3.70
自引率
4.50%
发文量
34
审稿时长
6-12 weeks
期刊介绍: Geometric And Functional Analysis (GAFA) publishes original research papers of the highest quality on a broad range of mathematical topics related to geometry and analysis. GAFA scored in Scopus as best journal in "Geometry and Topology" since 2014 and as best journal in "Analysis" since 2016. Publishes major results on topics in geometry and analysis. Features papers which make connections between relevant fields and their applications to other areas.
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