Problem of the Week #125 - August 18th, 2014

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SUMMARY

This discussion addresses the problem of proving that a quadratic form \( p(\mathbf{x}) = \mathbf{x}^TA\mathbf{x} \) is indefinite when \( A \) is a nonzero \( n \times n \) symmetric matrix with a trace of zero. The solution, provided by laura123, demonstrates that since every symmetric matrix is diagonalizable and the trace is invariant under similarity transformations, the eigenvalues of \( A \) must sum to zero. Consequently, the presence of both positive and negative eigenvalues confirms that \( A \) is indefinite.

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Here's this week's problem!

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Problem: Let $p$ be a quadratic form. Show that if $A$ is a nonzero $n\times n$ symmetric matrix such that $\mathrm{tr}(A)=0$, then $p(\mathbf{x}) = \mathbf{x}^TA\mathbf{x}$ is indefinite.

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This week's problem was correctly answered by laura123. You can find her solution below.

[sp]Every symmetric matrix is diagonalizable i.e. it is similar to a diagonal matrix, so $A$ is similar to a diagonal matrix $D$ .
The trace of a matrix is similarity-invariant therefore $\mathrm{tr}(A)=\mathrm{tr}(D)$, but $\mathrm{tr}(A)=0$ therefore $\mathrm{tr}(D)=0$.
The eigenvalues of $A$ are the diagonal elements of $D$ therefore $\mathrm{tr}(D)$ is the sum of the eigenvalues of $A$, it follows that $\displaystyle \sum_{i}\lambda_i=0$ (where $\lambda_i$ are the eigenvalues of $A$).
$A$ is a nonzero matrix so there are $\lambda_i\neq 0$ and $\lambda_j\neq 0$, eigenvalues of $A$, such that $\lambda_i\cdot\lambda_j< 0$ therefore $A$ is indefinite. So $p(\mathbf{x}) = \mathbf{x}^TA\mathbf{x}$ is indefinite.[/sp]
 

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