Transforming Positive Definite Quadratic Forms: A Simplification Approach

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SUMMARY

The discussion focuses on transforming a positive definite quadratic form, represented as \(\sum \alpha_{i,j} x_i x_j\), into a simplified form \(\sum k_i x_i^2 + \left( \sum \beta_i x_i \right)^2\) with all \(k_i\) positive. It is established that every quadratic form corresponds to a symmetric matrix \((\alpha_{i,j})_{i,j}\), which can be diagonalized. This diagonalization is essential for rewriting the quadratic form in the desired format.

PREREQUISITES
  • Understanding of positive definite quadratic forms
  • Knowledge of matrix diagonalization
  • Familiarity with symmetric matrices
  • Basic concepts of linear algebra
NEXT STEPS
  • Study the process of diagonalizing symmetric matrices
  • Explore the properties of positive definite matrices
  • Learn about quadratic forms in linear algebra
  • Investigate applications of quadratic forms in optimization problems
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Mathematicians, students of linear algebra, and anyone interested in the applications of quadratic forms in theoretical and applied mathematics.

Office_Shredder
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I'm having a bit of a brain fart here. Given a positive definite quadratic form
\sum \alpha_{i,j} x_i x_j
is it possible to re-write this as
\sum k_i x_i^2 + \left( \sum \beta_i x_i \right)^2
with all the ki positive? I feel like the answer should be obvious
 
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Office_Shredder said:
I'm having a bit of a brain fart here. Given a positive definite quadratic form
\sum \alpha_{i,j} x_i x_j
is it possible to re-write this as
\sum k_i x_i^2 + \left( \sum \beta_i x_i \right)^2
with all the ki positive? I feel like the answer should be obvious

Yes. Every quadratic form

\sum \alpha_{i,j} x_i x_j

determines a matrix (\alpha_{i,j})_{i,j}. The only thing you need to do is diagonalize this matrix.
 
Note that the matrix corresponding to any quadratic form is symmetric (we take a_{ij}= a_{ji} equal to 1/2 the coefficient of x_ix_j. Therefore, the matrix corresponding to a quadratic form is always diagonalizable.
 

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