Understanding Eigenvalues and Determinants with Repeated Multiplicities

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Homework Help Overview

The discussion revolves around the relationship between eigenvalues and determinants of an nxn matrix, specifically focusing on the concept of eigenvalues having multiplicities. The original poster seeks clarification on the meaning of 'repeated according to multiplicities' and hints for starting a proof related to the determinant of the matrix.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants discuss the characteristic polynomial and its roots, questioning how to express it in terms of the eigenvalues. There are attempts to relate the evaluation of the polynomial at zero to the determinant of the matrix.

Discussion Status

The conversation is progressing with participants exploring the relationship between the characteristic polynomial and the determinant. Some guidance has been offered regarding the formulation of the polynomial and the implications of substituting values into it. However, there is still uncertainty about the validity of certain steps and the handling of signs.

Contextual Notes

Participants are navigating the definitions and properties of eigenvalues and determinants, with some expressing confusion about generalizing the characteristic polynomial for an arbitrary matrix. There is an emphasis on understanding the implications of multiplicities in the context of the proof.

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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