Engineering Analysis/Quadratic Forms

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If we have an n × 1 vector x, and an n × n symmetric matrix M, we can write:

xTMx = a

Where a is a scalar value. Equations of this form are called quadratic forms.

[edit] Matrix Definiteness

Based on the quadratic forms of a matrix, we can create a certain number of categories for special types of matrices:

  1. if xTMx > 0 for all x, then the matrix is positive definate.
  2. if x^TMx \le 0 for all x, then the matrix is positive semi-definate.
  3. if xTMx < 0 for all x, then the matrix is negative definate.
  4. if x^TMx \ge 0 for all x, then the matrix is negative semi-definate.

These classifications are used commonly in control engineering.