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Geodesic convexity

In mathematics — specifically, in Riemannian geometry — geodesic convexity is a natural generalization of convexity for sets and functions to Riemannian manifolds. It is common to drop the prefix "geodesic" and refer simply to "convexity" of a set or function.

Definitions
Let (Mg) be a Riemannian manifold. • A subset C of M is said to be a geodesically convex set if, given any two points in C, there is a unique minimizing geodesic contained within C that joins those two points. • Let C be a geodesically convex subset of M. A function f:C\to\mathbf{R} is said to be a (strictly) geodesically convex function if the composition ::f \circ \gamma : [0, T] \to \mathbf{R} : is a (strictly) convex function in the usual sense for every unit speed geodesic arc γ : [0, T] → M contained within C. ==Properties==
Properties
• A geodesically convex (subset of a) Riemannian manifold is also a convex metric space with respect to the geodesic distance. ==Examples==
Examples
• A subset of n-dimensional Euclidean space En with its usual flat metric is geodesically convex if and only if it is convex in the usual sense, and similarly for functions. • The "northern hemisphere" of the 2-dimensional sphere S2 with its usual metric is geodesically convex. However, the subset A of S2 consisting of those points with latitude further north than 45° south is not geodesically convex, since the minimizing geodesic (great circle) arc joining two distinct points on the southern boundary of A leaves A (e.g. in the case of two points 180° apart in longitude, the geodesic arc passes over the south pole). ==References==
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