Overview
ABSTRACT
This article presents the bases of the affin and Euclidean geometries. It recalls the principles of vectorial geometry: the notions of vectorial space, base and linear application. The notions of space, subspace and the affin group are then presented. The Euclidean geometry then takes over, as affin geometry does not provide the necessary tools in order to measure distances or angles. The notions of Euclidean space, distance, angle and orthogonality as well as the similarities and isometries with their groups or respective invariants with, in particular, a detailed classification of conics and quadrics in comparison to isometries are then introduced.
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Gudrun ALBRECHT: University Professor - Lille Nord de France University - UVHC, LAMAV-CGAO Valenciennes
INTRODUCTION
This dossier is dedicated to presenting the basics of affine and Euclidean geometry. To this end, we'll start with vector geometry. As its name suggests, the basic elements of vector geometry are vectors, which are given a structure by the notion of vector space. The concept of the point, although useful for many applications, is unknown in vector geometry. It requires additional notions and forms the basis of affine geometry. Affine space provides a structure that associates vectors and points, enabling them to be manipulated together. However, affine geometry does not provide the tools needed to measure distances or angles. This will become possible by switching to Euclidean geometry. Euclidean space, a special affine space, will enable us to measure distances between two points and angles between two lines, based on the notion of the scalar product. Following Felix Klein, who in his Erlangen program identified "geometry" with "the theory of invariants of a transformation group", we will discuss the invariants of affine and Euclidean geometries. Given their importance in applications, we'll focus in particular on the Affine and Euclidean classifications of conics in the plane and quadrics in three-dimensional space.
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