On Hilbert's Fourth Problem
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Funk and Hilbert Geometries from the Finslerian Viewpoint
Chapter 3 Funk and Hilbert geometries from the Finslerian viewpoint Marc Troyanov Contents 1 Introduction .................................. 69 2 Finsler manifolds ............................... 72 3 The tautological Finsler structure ...................... 75 4 The Hilbert metric .............................. 81 5 The fundamental tensor ........................... 83 6 Geodesics and the exponential map ..................... 84 7 Projectively flat Finsler metrics ....................... 88 8 The Hilbert form ............................... 92 9 Curvature in Finsler geometry ........................ 94 10 The curvature of projectively flat Finsler metrics .............. 97 11 The flag curvature of the Funk and the Hilbert geometries .........100 12 The Funk–Berwald characterization of Hilbert geometries .........104 A On Finsler metrics with constant flag curvature ...............105 B On the Schwarzian derivative ........................106 References .....................................107 1 Introduction The hyperbolic space Hn is a complete, simply connected Riemannian manifold with constant sectional curvature K D1. It is unique up to isometry and several concrete models are available and well known. In particular, the Beltrami–Klein model is a realization in the unit ball Bn Rn in which the hyperbolic lines are represented by the affine segments joining pairs of points on the boundary sphere @Bn and the distance between two points p and q in Bn is half of the logarithm of the cross ratio of a, p with b, q, where a and b are the intersections of the line through p and q with @Bn. We refer to [1] for a historical discussion of this model. In 1895, David Hilbert observed that the Beltrami–Klein construction defines a distance in any convex set U Rn, and this metric still has the properties that affine segments are the shortest 70 Marc Troyanov curves connecting points. -
The Hilbert Metric on Teichmüller Space and Earthquake
Annales Academiæ Scientiarum Fennicæ Mathematica Volumen 41, 2016, 639–657 THE HILBERT METRIC ON TEICHMÜLLER SPACE AND EARTHQUAKE Huiping Pan Sun Yat-Sen University, School of Mathematics and Computational Science 510275, Guangzhou, P. R. China; [email protected] Abstract. Hamenstädt gave a parametrization of the Teichmüller space of punctured surfaces such that the image under this parametrization is the interior of a polytope. In this paper, we study the Hilbert metric on the Teichmüller space of punctured surfaces based on this parametrization. We prove that every earthquake ray is an almost geodesic under the Hilbert metric. 1. Introduction Let Sg;n be an orientable surface of genus g with n punctures. In this paper, we consider the surfaces of negative Euler characteristic with at least one puncture. A marked hyperbolic structure on Sg;n is pair (X; f) where X is a complete hyperbolic metric on a surface S and f : Sg;n ! S is a homeomorphism. Two marked hyperbolic structures (X1; f1) and (X1; f2) are called equivalent if there is an isometry in the −1 isotopy class of f1 ◦f2. For simplicity, we usually denote a marked hyperbolic metric by X instead of the pair (X; f). The Teichmüller space Tg;n is defined as the space of equivalent classes of marked hyperbolic structures on Sg;n. It is well known that 6g−6+2n Tg;n, equipped with the natural topology is homeomorphic to a ball in R . Given an open convex domain D ⊂ Rm, Hilbert defined a natural metric on D, now called the Hilbert metric, such that the straight line segments are geodesic segments under this metric. -
Characterizations of Hyperbolic Geometry Among Hilbert Geometries: a Survey
Characterizations of hyperbolic geometry among Hilbert geometries: A survey Ren Guo Department of Mathematics Oregon State University Corvallis, OR, 97330 USA email: [email protected] Abstract. This chapter is a survey of different approaches of characterizations of hyperbolic geometry among Hilbert geometries. 2000 Mathematics Subject Classification: 51K05, 51K10; 52A07, 52A20, 53B40, 53C60. Keywords: Hilbert geometry, hyperbolic geometry, Finsler metric. Contents 1 Introduction ............................... 1 2 Reflections ................................ 3 3 Perpendicularity............................. 4 4 Ptolemaic inequality . 5 5 Curvature ................................ 6 6 Median.................................. 7 7 Isometrygroup.............................. 8 8 Idealtriangles .............................. 9 9 Spectrum:aconjecture ......................... 10 1 Introduction The Hilbert metric is a canonical metric associated to an arbitrary bounded convex domain. It was introduced by David Hilbert in 1894 as an example of a 2 Ren Guo metric for which the Euclidean straight lines are geodesics. Hilbert geometry generalizes Klein’s model of hyperbolic geometry. Let K be a bounded open convex set in Rn (n ≥ 2). The Hilbert metric dK on K is defined as follows. For any x ∈ K, let dK (x, x)=0. For distinct points x, y in K, assume the straight line passing through x, y intersects the boundary ∂K at two points a,b such that the order of these four points on the line is a,x,y,b as in Figure 1. b a x y Figure 1. Hilbert metric Denote the cross-ratio of the points by ||b − x|| ||a − y|| [x,y,b,a]= · ||b − y|| ||a − x|| where || · || is the Euclidean norm of Rn. Then the Hilbert metric is 1 dK (x, y)= ln[a,x,y,b]. -
Clustering in Hilbert Simplex Geometry∗
Clustering in Hilbert simplex geometry∗ Frank Nielseny Ke Sunz Abstract Clustering categorical distributions in the probability simplex is a fundamental task met in many applications dealing with normalized histograms. Traditionally, the differential-geometric structures of the probability simplex have been used either by (i) setting the Riemannian metric tensor to the Fisher information matrix of the categorical distributions, or (ii) defining the dualistic information-geometric structure induced by a smooth dissimilarity measure, the Kullback-Leibler divergence. In this work, we introduce for this clustering task a novel computationally-friendly framework for modeling the probability simplex termed Hilbert simplex geometry. In the Hilbert simplex geometry, the distance function is described by a polytope. We discuss the pros and cons of those different statistical modelings, and benchmark experimentally these geometries for center-based k-means and k-center clusterings. We show that Hilbert metric in the probability simplex satisfies the property of information monotonicity. Furthermore, since a canonical Hilbert metric distance can be defined on any bounded convex subset of the Euclidean space, we also consider Hilbert’s projective geometry of the elliptope of correlation matrices and study its clustering performances. Keywords: Fisher-Riemannian geometry, information geometry, Finsler geometry, information monotonicity, multi- noulli distribution, Hilbert simplex geometry, Birkhoff cone metric, variation norm, polytope distance, elliptope,