Math 2.0

statement theorem

Classification of complex quadratic forms

Statement

Let VV be a complex vector space of finite dimension nn, and let QQ be a quadratic form on VV. Let rr be the rank of the symmetric matrix of QQ in a basis. Then VV has a basis (e1,…,en)(e_1, \dots, e_n) such that, for all x1,…,xn∈Cx_1, \dots, x_n \in \C, Q(x1e1+⋯+xnen)=x12+x22+⋯+xr2.Q(x_1 e_1 + \cdots + x_n e_n) = x_1^2 + x_2^2 + \cdots + x_r^2. So two quadratic forms on VV are equivalent if and only if their matrices have the same rank.

Remarks

The proof starts from a diagonal form a1x12+⋯+anxn2a_1 x_1^2 + \cdots + a_n x_n^2 and replaces eie_i by ei/aie_i / \sqrt{a_i} for each ai≠0a_i \ne 0. The same result holds over every algebraically closed field of characteristic not 22. Over R\R, this fails: x2x^2 and −x2-x^2 have the same rank but are not equivalent.

Explanations

L1 human

Over the complex numbers, every nonzero number is a square. So all coefficients of a diagonal form can be made equal to 11. Only the number of squares remains, and it is the rank.

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  1. Matrix definition
  2. Vector space definition
  3. Bilinear form definition
  4. Linear combination definition
  5. Linear subspace definition
  6. Orthogonal family for a bilinear form definition
  7. Quadratic form definition
  8. Linear independence definition
  9. Linear span definition
  10. Diagonalisation of a quadratic form statement
  11. Column space definition
  12. Spanning set definition
  13. Basis definition
  14. Finite-dimensional vector space definition
  15. Dimension definition
  16. Rank of a matrix definition
  17. Classification of complex quadratic forms statement

Sources

  1. Web https://en.wikipedia.org/wiki/Quadratic_form, Equivalence of forms