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Orthogonal Classification of Quadrics

  • Agustí Reventós Tarrida
Part of the Springer Undergraduate Mathematics Series book series (SUMS)

Abstract

In this chapter we study quadrics but unlike the previous chapter considering equivalent two quadrics when there is a Euclidean motion that takes one onto the other. From this point of view there are infinitely many quadrics (conics) in the plane, since ellipses, parabolas or hyperbolas of different size are respectively different to each other. Nevertheless, we give the classification in dimensions two and three and find lists of real numbers which represent them. For instance, in the plane, there are as many ellipses as pairs (a,b) of real numbers, with 0<ab and as many hyperbolas as pairs (a,b) of real numbers, with 0<a, 0<b. We give a faithful list of all quadrics in arbitrary dimensions. For this we shall need to introduce an adequate definition of good order among various real numbers. Most textbooks are not concerned with the faithfulness of this list: that is, that each quadric appears in the list once and only once; for this reason this concept of good order is, as far as we know, new in this context.

We also study the symmetries of a given quadric. The subsections are
  1. 9.1

    Introduction

     
  2. 9.2

    Orthogonally equivalent quadratic polynomials

     
  3. 9.3

    Criterion for ordering

     
  4. 9.4

    Canonical representatives without linear part

     
  5. 9.5

    Canonical representatives with linear part

     
  6. 9.6

    Invariants

     
  7. 9.7

    Orthogonal classification of quadrics

     
  8. 9.8

    Orthogonal classification of conics

     
  9. 9.9

    Orthogonal classification of quadrics in dimension three

     
  10. 9.10

    Symmetries of a quadric

     
  11. Exercises

     

Keywords

Orthogonal Matrix Regular Point Quadratic Part Euclidean Motion Canonical Representative 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Bibliography

  1. 4.
    Berger, M.: Geometry I, II. Universitext. Springer, Berlin (2003). Original French edition: Géométrie, vols. 1–5. CEDIC and F. Nathan, Paris (1997) Google Scholar
  2. 8.
    Cedó, F., Reventós, A.: Geometria plana i àlgebra lineal. Collection Manuals of the Autonomous University of Barcelona, vol. 39 (2004) Google Scholar

Copyright information

© Springer-Verlag London Limited 2011

Authors and Affiliations

  1. 1.Department of MathematicsUniversitat Autònoma de BarcelonaBellaterra, BarcelonaSpain

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