Average methods and their applications in Differential Geometry I
Csaba Vincze

TL;DR
This paper explores averaging methods in Minkowski and Finsler geometry to construct associated Riemannian metrics, with applications to Funk spaces and insights into Brickell's conjecture on curvature tensors.
Contribution
It introduces a novel averaging approach to derive Riemannian metrics from Finsler structures, extending previous methods and applying them to Funk spaces and curvature conjectures.
Findings
Constructed Riemannian metrics from Finsler data via averaging.
Applied averaging techniques to Funk spaces and curvature analysis.
Provided new insights related to Brickell's conjecture on Finsler manifolds.
Abstract
In Minkowski geometry the metric features are based on a compact convex body containing the origin in its interior. This body works as a unit ball with its boundary formed by the unit vectors. Using one-homogeneous extension we have a so-called Minkowski functional to measure the lenght of vectors. The half of its square is called the energy function. Under some regularity conditions we can introduce an average Euclidean inner product by integrating the Hessian matrix of the energy function on the Minkowskian unit sphere. Changing the origin in the interior of the body we have a collection of Minkowskian unit balls together with Minkowski functionals depending on the base points. It is a kind of special Finsler manifolds called a Funk space. Using the previous method we can associate a Riemannian metric as the collections of the Euclidean inner products belonging to different base…
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