Proving det(A) = lambda_1 * lambda_2 * ... * lambda_n for Eigenvalue A

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How do you prove that det(A) = \lambda_1*\lambda_2*...*\lambda_n, where \lambda_i is the eigenvalues of A? I'm stuck :cry:
 
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It isn't true, so you can't prove it. You should examine the question carefully.
 
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Niels said:
How do you prove that det(A) = \lambda_1*\lambda_2*...*\lambda_n, where \lambda_i is the eigenvalues of A? I'm stuck :cry:

For that to happen,u must make certain assumptions on the matrix 'A'.
The most important is that the matrix 'A' is of square form.If it is symmetrical,then:
a)if A has real elements,then exists a nonsingular orthogonal matrix M which can bring A to diagonal form:
\exists M\in O_{n}(R),so that MAM^{T}=A_{diag}
Then it's easy to show that det A=det A_{diag}=product of eigenvalues.
b)if A has complex elements,then exists a unitary matrix Z which can bring A to diagonal form
\exists Z\in U_{n}(C),so that ZAZ^{\dagger}=A_{diag}
Again,it's easy to show that the eigenvalues are on the diagonal and hence the det.is the product of eigenvalues.

Daniel.
 
Well,Matt,if u're right and I'm wrong,then I'm going to kill my QFT teacher since he graduated both physics and maths. :mad: For a square,symmetrical matrix it has to be true.For other cases (meaning square form and nonsymetry),probably not.

Daniel.
 
No, we're both correct, I said you should be careful, and you showed something inthe special case the matrix is diagonalizable, which is in some sense the notion I meant when I said that you should be careful. This depends upon how we dsitinguish between algebraic and geometric multiplicity.
 
Ok,sorry here's the whole text:
Let A be an nxn matrix, and suppose A har n real eigenvalues \lambda_1 ... \lambda_n repeated accordingly to multiplicities, so that
det(A - \lambda I) = (\lambda_1 - \lambda)*(\lambda_2 - \lambda)*...*(\lambda_n - \lambda)
Explain why det(A) is the product of the n eigenvalues of A.
(Hint: the equation holds for all \lambda)
 
let lambda = 0
 
Thanks! I know now that I'm stupied :)
 
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