Algebraic Multiplicity and Eigenspace

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Homework Help Overview

The discussion revolves around finding the value of h in a given matrix A such that the eigenspace corresponding to the eigenvalue lambda=5 is two-dimensional. The matrix A is presented along with its characteristic polynomial after applying the eigenvalue.

Discussion Character

  • Exploratory, Assumption checking, Mathematical reasoning

Approaches and Questions Raised

  • Participants explore the relationship between algebraic multiplicity and the dimensionality of the eigenspace. There are attempts to manipulate the matrix through row operations to identify conditions on h that would yield a two-dimensional eigenspace.

Discussion Status

Some participants have suggested that the rank of the matrix should equal 2 to achieve the desired eigenspace dimension. There is a proposal to set h=6 to eliminate a pivot position, which could lead to the necessary conditions for the eigenspace. The discussion is ongoing, with various interpretations of the implications of these manipulations being explored.

Contextual Notes

Participants note the importance of the null space of the matrix A-lambda*I in determining the eigenspace and are considering the implications of the equations derived from the eigenvector conditions.

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Homework Statement


Find h in the matrix A such that the eigenspace for lambda=5 is two-dimensional.

A= [5,-2,6,-1] [0,3,h,0] [0,0,5,4] [0,0,0,1]
A-lambda*I(n) = [0,-2,6,-1] [0,-2,h,0] [0,0,0,4] [0,0,0,-4]


Homework Equations





The Attempt at a Solution


I'm not really sure how to do this. Is there some relation between algebraic multiplicity and the eigenspace of a matrix that would help?

I tried solving this by row operations to solve for the eigenvectors in the hope that I would be able to eliminate values of h that would have resulted in more or less than a 2 dimensional eigenspace, but it didn't work out. This is the matrix I got (keep in mind this is after applying the lambda value to the diagonals) A= [0,-2,6,-1] [0,0, h-6,1] [0,0,0,4] [0,0,0,0].

I'm pretty confused about this any help would be greatly appreciated. Thanks.
 
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Hashmeer said:

Homework Statement


Find h in the matrix A such that the eigenspace for lambda=5 is two-dimensional.

A= [5,-2,6,-1] [0,3,h,0] [0,0,5,4] [0,0,0,1]
A-lambda*I(n) = [0,-2,6,-1] [0,-2,h,0] [0,0,0,4] [0,0,0,-4]


Homework Equations





The Attempt at a Solution


I'm not really sure how to do this. Is there some relation between algebraic multiplicity and the eigenspace of a matrix that would help?

I tried solving this by row operations to solve for the eigenvectors in the hope that I would be able to eliminate values of h that would have resulted in more or less than a 2 dimensional eigenspace, but it didn't work out. This is the matrix I got (keep in mind this is after applying the lambda value to the diagonals) A= [0,-2,6,-1] [0,0, h-6,1] [0,0,0,4] [0,0,0,0].

I'm pretty confused about this any help would be greatly appreciated. Thanks.


Hey there! the eigenspace of having lambda=5 is exactly the nullspace of A-lambda I . and since it is 2 dimensional , it suggest that the rank of the matrix is ?
 
So the rank = 2 since rank = # columns (4 in this case) - dimNul A (in this case 2). So if the rank is to equal 2 then I will need another free variable, or I need to remove a pivot position. So since h-6 is in a pivot position I can easily make it a nonpivot column by setting h=6. This would ensure that the dimension of the null space is 2.

Am I going the right way with this? It makes sense to me if this is right. Thanks for the help!
 
Hashmeer said:

Homework Statement


Find h in the matrix A such that the eigenspace for lambda=5 is two-dimensional.

A= [5,-2,6,-1] [0,3,h,0] [0,0,5,4] [0,0,0,1]
A-lambda*I(n) = [0,-2,6,-1] [0,-2,h,0] [0,0,0,4] [0,0,0,-4]
So any eigenvector of A corresponding to eigenvalue 5 must satisfy
[tex]\begin{bmatrix}0 & -2 & 6 & 1 \\ 0 & -2 & h & 0 \\ 0 & 0 & 0 & 4 \\ 0 & 0 & 0 & -4\end{bmatrix}\begin{bmatrix}w \\ x \\ y \\ z\end{bmatrix}= \begin{bmatrix}0 \\ 0 \\ 0 \\ 0\end{bmatrix}[/tex].

That gives the equations -2x+ 6y+ z= 0, -2x+ hy= 0, 4z= 0, and -4z= 0. The last two obviously give z= 0 so the first two equations become -2x+ 6y= 0 and -2x+ hy= 0. One obvious eigenvector is (u, 0, 0, 0). There will be another, independent, eigenvector, and so the eigenspace will be two dimensional if and only if there exist non-zero x and y satifying both -2x+ 6y= 0 and -2x+ hy= 0.


Homework Equations





The Attempt at a Solution


I'm not really sure how to do this. Is there some relation between algebraic multiplicity and the eigenspace of a matrix that would help?

I tried solving this by row operations to solve for the eigenvectors in the hope that I would be able to eliminate values of h that would have resulted in more or less than a 2 dimensional eigenspace, but it didn't work out. This is the matrix I got (keep in mind this is after applying the lambda value to the diagonals) A= [0,-2,6,-1] [0,0, h-6,1] [0,0,0,4] [0,0,0,0].

I'm pretty confused about this any help would be greatly appreciated. Thanks.
 

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