Quick linear algebra determinant proof.

Kuma
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Homework Statement



If A is a square symmetric matrix nxn. Show that the determinant of A is the product of its eigenvalues.

Homework Equations





The Attempt at a Solution



From spectral decomp.

A = QλQ'
|A| = |QλQ'| = |QQ'λ| = |Q||Q'||λ| = |λ| = the product of its diagonals (eigenvalues).

The step I'm not 100% sure of is if I can interchange QλQ' to QQ'λ
 
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Kuma said:

Homework Statement



If A is a square symmetric matrix nxn. Show that the determinant of A is the product of its eigenvalues.

Homework Equations





The Attempt at a Solution



From spectral decomp.

A = QλQ'
|A| = |QλQ'| = |QQ'λ| = |Q||Q'||λ| = |λ| = the product of its diagonals (eigenvalues).

The step I'm not 100% sure of is if I can interchange QλQ' to QQ'λ

Hi Kuma! :smile:

No, you can't interchange QλQ' to QQ'λ.
This can be seen because then QQ'λ=Iλ=λ, but this would not match your original matrix A.

However, there is no need to interchange them.
You can take the same steps without interchanging them.
 
Kuma said:

Homework Statement



If A is a square symmetric matrix nxn. Show that the determinant of A is the product of its eigenvalues.

Homework Equations





The Attempt at a Solution



From spectral decomp.

A = QλQ'
|A| = |QλQ'| = |QQ'λ| = |Q||Q'||λ| = |λ| = the product of its diagonals (eigenvalues).

The step I'm not 100% sure of is if I can interchange QλQ' to QQ'λ

The constant in the characteristic equation of A equals the determinant of A. How is that constant related to the eigenvalues?

RGV
 
There are two things I don't understand about this problem. First, when finding the nth root of a number, there should in theory be n solutions. However, the formula produces n+1 roots. Here is how. The first root is simply ##\left(r\right)^{\left(\frac{1}{n}\right)}##. Then you multiply this first root by n additional expressions given by the formula, as you go through k=0,1,...n-1. So you end up with n+1 roots, which cannot be correct. Let me illustrate what I mean. For this...

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