Can Eigenvalues Be Shifted by a Scalar?

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    Eigenvalue Proof
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Homework Help Overview

The discussion revolves around the relationship between eigenvalues of a matrix and the effect of adding a scalar multiple of the identity matrix. Participants explore whether adding a scalar to an eigenvalue of a matrix results in an eigenvalue of the modified matrix.

Discussion Character

  • Conceptual clarification, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants discuss the eigenvalue equation and the implications of modifying the matrix by adding a scalar multiple of the identity matrix. There are attempts to clarify the relationship between the original eigenvalue and the modified eigenvalue, with some questioning whether certain steps lead to circular reasoning.

Discussion Status

The discussion is active, with participants providing guidance on how to approach the problem. There are multiple interpretations being explored, particularly regarding the validity of the steps taken in deriving the new eigenvalue equation. Some participants express uncertainty about specific transformations and their implications.

Contextual Notes

Participants are navigating the definitions and properties of eigenvalues and eigenvectors, with an emphasis on ensuring that assumptions are clearly articulated. There is mention of the potential for zero to be an eigenvalue of the modified matrix, which adds complexity to the discussion.

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Homework Statement



Let λ be an eigenvalue of A. Then λ+σ is an eigenvalue of A+σI

Homework Equations





The Attempt at a Solution



I'm guessing I need to use the fact that λ is an e.v of A to start with. But then when I add σ to both sides somehow I feel like I'm begging the question..
 
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You know that if \lambda is an eigenvalue of A, then A\boldsymbol{v}=\lambda \boldsymbol{v} is the appropriate eigenvalue equation with v an eigenvector. So if \lambda+\sigma is an eigenvalue ofA+\sigma I,then what would the appropriate eigenvalue equation be?
 
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The appropriate e.v equation would then be: Ax=(λ+σ)x..is that right?
 
No that eigenvalue does not belong to A but to A+\sigma I. So replace A by A+\sigma I then write out the left side of the equation and see if it checks out.
 
But wouldn't that be begging the question?
 
Yeah, Try adding sigma*x to both sides of equation if you're still stuck.
 
You want to solve the following equation (A+\sigma I) \boldsymbol v= \eta \boldsymbol v for \eta. Do you understand why this is the relevant equation? Now write out the left hand side and use the information given in the exercise.
 
Thanks I did that...and here's what I have

Ax +σx=λx+σx
Then you have (A+σI)x=(λ+σ)x
and because x doesn't equal zero therefore (λ+σ) doesn't equal zero

which then means that (λ,λ+σ) is an eigenpair of A+σI
 
While the first two lines you wrote are correct I am not entirely convinced. Why is A \boldsymbol{ v}+\sigma v =(A+\sigma I) \boldsymbol{v} ?

As for the rest. You are correct to say that x is not zero for if it was it wouldn't be an eigenvector. However 0 is a valid eigenvalue so the eigenvalue of A+\sigma I could be zero.
 
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  • #10
Cyosis said:
While what you wrote is correct I am not entirely convinced. Why is A \boldsymbol{v}+\sigma \boldsymbol{v} =(A+\sigma I) \boldsymbol{v} ?

Looks ok to me … distributive law. :smile:
 
  • #11
x=Ix \Rightarrow \sigma x=\sigma (Ix) = (\sigma I)x
 

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