Understanding Eigenvalues and Determinants with Repeated Multiplicities

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SUMMARY

The discussion centers on proving that the determinant of an nxn matrix A, which has n real eigenvalues λ₁, ..., λₙ with repeated multiplicities, is equal to the product of its eigenvalues: det(A) = λ₁...λₙ. Participants clarify that the eigenvalues are roots of the characteristic polynomial p(λ) = det(λI - A), and that the multiplicity of an eigenvalue corresponds to the multiplicity of its root. By substituting λ = 0 into the characteristic polynomial, the relationship between the determinant and the eigenvalues is established, confirming that det(A) equals the product of the eigenvalues.

PREREQUISITES
  • Understanding of eigenvalues and eigenvectors in linear algebra
  • Familiarity with characteristic polynomials and their properties
  • Knowledge of determinants and their calculation for matrices
  • Concept of multiplicity in the context of polynomial roots
NEXT STEPS
  • Study the derivation of the characteristic polynomial for various types of matrices
  • Learn about the implications of eigenvalue multiplicities on matrix properties
  • Explore the relationship between determinants and eigenvalues in more complex matrices
  • Investigate applications of eigenvalues in stability analysis and systems of differential equations
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Students of linear algebra, mathematicians, and anyone interested in understanding the relationship between eigenvalues and determinants in matrix theory.

Jennifer1990
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Homework Statement


Let A be an nxn matrix, and suppose A has n real eigenvalues lambda_1, ...lambda_n repeated according to multiplicities. Prove that det A = lambda_1...lambda_n


Homework Equations


None


The Attempt at a Solution


Could someone explain what is meant by 'repeated according to multiplicities'? and give me a hint as to how to start this proof? thank u ~~
 
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The eigenvalues are the roots of the characteristic polynomial p(lambda)=det(I*lambda-A), the multiplicity of the eigenvalue is the multiplicity of the root. E.g. (lambda-1)^2 has a root 1 of multiplicity 2. Roots of polynomials correspond to linear factors of the polynomial. Think about how to find p(0).
 
Last edited:
to find p(0), i wud just sub 0 in the place of every variable and solve. I will be left with a constant, if there is a one
Is this wat u r asking? but how does this relate to the question? =S
 
I'm asking you to write out the characteristic polynomial in terms of lambda and lambda_1...lambda_n. Then think about what constant you get if lambda=0. How is it related to lambda_1...lambda_n? And how is that constant related to det(A)?
 
How can i write our the characteristic polynomial if we're dealing with a general nxn matrix?
 
You know the eigenvalues. E.g. if lambda_1 is a eigenvalue, then it's a root of the characteristic polynomial p(lambda). That means p(lambda) has a factor (lambda-lambda_1), right? Remember what you know about how roots of polynomials are related to factors of polynomials.
 
the factors of polynomials are the roots of the polynomials

i think...
det(A)=(lambda-lambda_1)(lambda-lambda_2)...(lambda-lambda_n) so the eigenvalues are lambda_1...lambda_n
 
Ok, but that's not quite det(A), it's det(lambda*I-A). det(A) doesn't have a lambda in it. So if lambda=0 on both sides what do you get?
 
ohhhhhh i think i got it now

det(A-lambda*I) =(lambda-lambda_1)(lambda-lambda_2)...(lambda-lambda_n)
if lambda =0, then we have
det(A) =(lambda_1)(lambda_2)...(lambda_n)

but, can we just set lambda = 0 like that?
 
  • #10
Yes, you can. But you have to pay attention to the minus signs. And the characteristic polynomial is det(lambda*I-A). det(A) and det(-A) are different. But that's pretty close.
 

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