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If $\lambda$ is the eigenvalue of matrix $A$,what is the eigenvalue of $A^TA$?I have no clue about it. Can anyone help with that?

89085731
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2 Answers2

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The good exercise for you is to prove, in general, that $$\lambda_{\text{max}}(A)\le \max_{\|x\|=1} \|Ax\|=\sqrt{\lambda_{\text{max}}(A^\top A)}.$$

Ted Shifrin
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  • Is $\frac{(\frac{1}{2}\lambda_{\mbox{min}}(A+A^T))^2}{\lambda_{\mbox(max)}A^TA}<1$ if A is positive definite – 89085731 Apr 19 '14 at 19:26
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Generally, you won't be able to say much about them.

However, if $A$ is for instance real symmetric, it is diagonalizable with real eigenvalues, meaning there is an orthogonal matrix B (that is with $B^{-1}=B^T$) and a diagonal matrix D such that: $$A = B D B^T$$ $$A^TA = (B D B^T)^T B D B^T = B D^T B^T B D B^T = BD^2B^T$$ In other words, the eigenvalues of $A^TA$ are the squares of the eigenvalues of $A$.