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Gruber P. Convex and Discrete Geometry

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3 <strong>Convex</strong> Sets, <strong>Convex</strong> Bodies <strong>and</strong> <strong>Convex</strong> Hulls 41<br />

theorems of Helly, Radon <strong>and</strong>, again, Carathéodory, together with some applications.<br />

As an example, where the notion of convexity is used in an analytic context to clarify<br />

or to describe a situation, we present Hartogs’ theorem on power series in d complex<br />

variables.<br />

3.1 Basic Concepts <strong>and</strong> Simple Properties<br />

We begin with the definitions of convex sets <strong>and</strong> convex bodies <strong>and</strong> investigate convex<br />

hulls, including Carathéodory’s theorem. Then we consider convex cones <strong>and</strong><br />

prove a simple decomposition result.<br />

<strong>Convex</strong> Sets <strong>and</strong> <strong>Convex</strong> Bodies<br />

The earliest explicit mention of the notion of convexity seems to be in the first four<br />

axioms in the book On the Sphere <strong>and</strong> Cylinder of Archimedes [35]. The third <strong>and</strong><br />

the fourth axiom are as follows:<br />

3. Similarly also there are certain finite surfaces, not in a plane themselves but having<br />

their extremities in a plane, <strong>and</strong> such that they will either lie wholly on the same side<br />

of the plane containing their extremities or will have no part on the other side.<br />

4. I call convex in the same direction surfaces such that, if any two points on them<br />

are taken, either the straight lines between the points all fall upon the same side of<br />

the surface, or some fall on one <strong>and</strong> the same side while others fall along the surface<br />

itself, but none falls on the other side.<br />

Archimedes thus actually gives two definitions of a convex surface. The first is by<br />

means of support properties, the second is the common one by means of line segments<br />

which are contained on the same side of the surface. In the sequel, we state<br />

the second definition for sets instead of surfaces in the usual form <strong>and</strong> show the<br />

equivalence of the two definitions later in Theorem 4.2.<br />

AsetC in E d is convex if it has the following property:<br />

It is strictly convex if it is closed <strong>and</strong><br />

(1 − λ)x + λy ∈ C for x, y ∈ C, 0 ≤ λ ≤ 1.<br />

(1 − λ)x + λy ∈ int C for x, y ∈ C, x �= y, 0

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