Product of singular values = determinant proof

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Homework Help Overview

The discussion revolves around proving that the determinant of a square matrix is equal to the product of its singular values, utilizing the singular value decomposition of the matrix.

Discussion Character

  • Conceptual clarification, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants explore the relationship between the determinants of the matrices involved in the singular value decomposition and question the positivity of singular values and determinants.

Discussion Status

Participants have engaged in clarifying the properties of unitary matrices and the implications for the determinants involved. There is a recognition of the need to prove the absolute value of the determinant rather than the determinant itself, leading to a more focused discussion.

Contextual Notes

There is a noted confusion regarding the signs of the determinants and the conditions under which singular values are positive. The original poster acknowledges the requirement to prove the absolute value of the determinant.

Vai
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Homework Statement



So I'm working on this proof. Given an n x n (square) matrix, prove that it's determinant is equal to the product of it's singular values.

Homework Equations



We are given A = U*E*V as a singular value decomposition of A.

The Attempt at a Solution



I was thinking that det(A) = det(U) * det(E) * det(V)

and since E is the diagonal matrix with singular values on it's diagonal, it's determinant is the product of those singular values.

But then what to do about det(U) and det(V)? I guess it's logical that the product of their determinants is 1, but how do I show that?
 
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Hi Vai! :smile:

Do your singular values always need to be positive?? Does det(E) always need to be positive and det(A)??

U and V are unitary, what do you know about the determinant of unitary matrices?
 
micromass said:
Hi Vai! :smile:

Do your singular values always need to be positive?? Does det(E) always need to be positive and det(A)??

U and V are unitary, what do you know about the determinant of unitary matrices?

Thanks for the quick response.

I'm not sure about the sign on the singular values. Since they are the square roots of the eigenvalues of A' * A, then I assume that they are all positive. So then that means det(E) is also positive.

I wasn't aware that U and V are unitary matrices. But your comment made me think, and according to the definition of the singular value decomposition, they are orthogonal matrices. So then I can say their determinants are +/- 1.

I think that is enough then to show the det(A) is the product of the singular values since:

det(A) = det(U) * det(E) * det(V)
= (+/- 1) * (product of singular values) * (+/- 1)
 
Last edited:
How can det(A) equal det(E) if det(E) is always positive, but if det(A) is not always positive??
 
Whoops, I'm really sorry. I had to prove that the absolute value of the determinant of A is equal to the product of the singular values.

then:

|det(A)| = |det(U) * det(E) * det(V)|
= | (+/- 1) * (product of singular values) * (+/- 1) |
= product of singular values
 
Vai said:
Whoops, I'm really sorry. I had to prove that the absolute value of the determinant of A is equal to the product of the singular values.

then:

|det(A)| = |det(U) * det(E) * det(V)|
= | (+/- 1) * (product of singular values) * (+/- 1) |
= product of singular values

That is correct! :smile:
 
Ok, thank you very much for your help; saved me a lot of time there.
 

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