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arXiv 0807.3377math.MGmath.DGmath.FAmath.OC
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拟度量空间中的测地线问题

The geodesic problem in quasimetric spaces

Qinglan Xia

摘要:

本文研究了广义度量空间中的测地线问题,其中距离函数满足一个松弛的三角不等式$d(x,y)\leq σ(d(x,z)+d(z,y))$,而不是通常的三角不等式,其中对某个常数$σ\geq 1$.这样的空间称为拟度量空间。证明了度量空间中的许多著名结果(如Ascoli-Arzelà定理)在拟度量空间中仍然成立.此外,我们探讨条件下,准度规将导致一个内在的度量。作为一个例子,我们在原子概率测度空间上引入了一族拟度量。由这些拟度规诱导的相关内禀度规与在分支最优输运中出现的分支结构研究中早期研究的$d_α$度规相一致。两个原子概率测度之间的最优输运路径通常具有“树形”分支结构。在这里,我们表明,这些最优输运路径原来是测地线在这些内在的度量空间。

英文摘要:

In this article, we study the geodesic problem in a generalized metric space, in which the distance function satisfies a relaxed triangle inequality $d(x,y)\leq σ(d(x,z)+d(z,y))$ for some constant $σ\geq 1$, rather than the usual triangle inequality. Such a space is called a quasimetric space. We show that many well-known results in metric spaces (e.g. Ascoli-Arzelà theorem) still hold in quasimetric spaces. Moreover, we explore conditions under which a quasimetric will induce an intrinsic metric. As an example, we introduce a family of quasimetrics on the space of atomic probability measures. The associated intrinsic metrics induced by these quasimetrics coincide with the $d_α$ metric studied early in the study of branching structures arisen in ramified optimal transportation. An optimal transport path between two atomic probability measures typically has a "tree shaped" branching structure. Here, we show that these optimal transport paths turn out to be geodesics in these intrinsic metric spaces.

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