Overview
ABSTRACT
Convex Geometry is the branch of geometry studying convex sets, mainly in Euclidean spaces. Convex sets occur naturally in Geometry and in many mathematical areas: computational geometry, convex analysis, discrete geometry, functional analysis, geometry of numbers, integral geometry, linear programming, game theory, probability theory, stochastic geometry, stereology etc.. Convex Geometry is also of interest in other scientific and engineering disciplines (e.g. in biology, chemistry, cosmology, geology, pharmaceutics, physics …) where elementary objects (cells, corpuscles, grains, particles, planets …) are often considered as convex sets. This first article deals with the main definitions and properties and fundamental theorems relating to convex sets and more broadly to star-shaped sets.
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Jean-Charles PINOLI: Professor - École Nationale Supérieure des Mines de Saint-Étienne, Saint-Étienne, France
INTRODUCTION
Convex Geometry is the branch of geometry dealing with convex sets, in vector spaces and topological vector spaces in general, and more particularly in normed vector spaces and especially in Hilbertian (infinite-dimensional) and Euclidean (finite-dimensional) vector spaces.
A dual of convex geometry, convex analysis (Convex Analysis) is the branch of mathematics that deals with convex functions , which are often used in optimization theory.
Any notion introduced for convex sets can generally be transported to convex functions via their epigraphs. The reverse is also true: any notion introduced for a convex function can often be transported to convex sets by applying it to the indicator function of those sets.
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KEYWORDS
convex sets | star-shaped sets | polyhedra | simplexes | polygons
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Convex geometry I
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