Quadratic function of multiple variables: Difference between revisions
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Consider variables <math>x_1,x_2,\dots,x_n</math>. A quadratic function of the variables <math>x_1,x_2,\dots,x_n</math> is a function of the form: | Consider variables <math>x_1,x_2,\dots,x_n</math>. A quadratic function of the variables <math>x_1,x_2,\dots,x_n</math> is a function of the form: | ||
<math>\left(\sum_{i=1}^n \sum_{j=1}^n a_{ij} x_ix_j\right) + \left(\sum_{i=1}^n b_ix_i) + c</math> | <math>\left(\sum_{i=1}^n \sum_{j=1}^n a_{ij} x_ix_j\right) + \left(\sum_{i=1}^n b_ix_i\right) + c</math> | ||
In vector form, if we denote by <math>\vec{x}</math> the column vector with coordinates <math>x_1,x_2,\dots,x_n</math>, then we can write the function as: | In vector form, if we denote by <math>\vec{x}</math> the column vector with coordinates <math>x_1,x_2,\dots,x_n</math>, then we can write the function as: | ||
Revision as of 16:05, 11 May 2014
Definition
Consider variables . A quadratic function of the variables is a function of the form:
In vector form, if we denote by the column vector with coordinates , then we can write the function as:
where is the matrix with entries and is the column vector with entries .
Key data
| Item | Value |
|---|---|
| default domain | the whole of |
| range | If the matrix is not positive semidefinite or negative semidefinite, the range is all of . If the matrix is positive semidefinite, the range is where is the minimum value. If the matrix is negative semidefinite, the range is where is the maximum value. |