4.2 Article

The Binet-Legendre Metric in Finsler Geometry

期刊

GEOMETRY & TOPOLOGY
卷 16, 期 4, 页码 2135-2170

出版社

GEOMETRY & TOPOLOGY PUBLICATIONS
DOI: 10.2140/gt.2012.16.2135

关键词

-

资金

  1. Swiss National Science Foundation [200020-130107]
  2. Deutsche Forschungsgemeinschaft [GK 1523]
  3. Swiss National Science Foundation (SNF) [200020_130107] Funding Source: Swiss National Science Foundation (SNF)

向作者/读者索取更多资源

For every Finsler metric F we associate a Riemannian metric g F (called the Binet-Legendre metric). The Riemannian metric g F behaves nicely under conformal deformation of the Finsler metric F, which makes it a powerful tool in Finsler geometry. We illustrate that by solving a number of named Finslerian geometric problems. We also generalize and give new and shorter proofs of a number of known results. In particular we answer a question of M Matsumoto about local conformal mapping between two Minkowski spaces, we describe all possible conformal self maps and all self similarities on a Finsler manifold. We also classify all compact conformally flat Finsler manifolds, we solve a conjecture of S Deng and Z Hou on the Berwaldian character of locally symmetric Finsler spaces, and extend a classic result by HC Wang about the maximal dimension of the isometry groups of Finsler manifolds to manifolds of all dimensions. Most proofs in this paper go along the following scheme: using the correspondence F -> g F we reduce the Finslerian problem to a similar problem for the Binet-Legendre metric, which is easier and is already solved in most cases we consider. The solution of the Riemannian problem provides us with the additional information that helps to solve the initial Finslerian problem. Our methods apply even in the absence of the strong convexity assumption usually assumed in Finsler geometry. The smoothness hypothesis can also be replaced by a weaker partial smoothness, a notion we introduce in the paper. Our results apply therefore to a vast class of Finsler metrics not usually considered in the Finsler literature.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.2
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据