Dimensions of Eigenspaces of A | 6x6 Matrix Characteristic Equation

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In summary, the dimensions of eigenspaces of a 6x6 matrix can vary but can be a maximum of 6. The characteristic equation of a 6x6 matrix is a polynomial equation with a degree of 6. To find the eigenvalues of a 6x6 matrix, you need to find the characteristic equation and solve it for λ. Eigenspaces in a 6x6 matrix represent subspaces with corresponding eigenvalues and can provide information about the matrix's behavior and be used for diagonalization. A 6x6 matrix can have a maximum of 6 eigenspaces, as the number of eigenspaces is equal to the number of distinct eigenvalues.
  • #1
georgeh
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So the question states:
Let A be a 6x6 matrix with characteristic equation (x^2)(x-1)(x-2)^3=0
What are the possible dimensions of eigenspaces of A?
so..
eigen values possible are
x=1,x=0,x=2
for x = 0
dimension 0?
for x = 1
I would say at dimension 0 or 1

x = 2
Dimension 0, 1, 2, 3
They have for x= 0
1 or 2
for x = 1
1 dimension
for x =2: 1,2,or 3
I am not sure how they got these answers. Any help would be appreciated.
 
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  • #2
for a given eigenvalue [itex]\lambda[/itex], the dimension of the corresponding eigenspace [itex]E_{\lambda}[/itex] must satisfy

[tex] 1 \leq dim(E_{\lambda}) \leq multiplicity(\lambda) [/tex]
 
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What are the dimensions of eigenspaces of a 6x6 matrix?

The dimensions of eigenspaces of a 6x6 matrix can vary depending on the matrix itself. However, the maximum possible number of dimensions is 6, as a 6x6 matrix has 6 rows and 6 columns.

What is the characteristic equation of a 6x6 matrix?

The characteristic equation of a 6x6 matrix is a polynomial equation with a degree of 6. It is defined as det(A-λI) = 0, where A is the 6x6 matrix, λ is an eigenvalue, and I is the identity matrix of the same size as A.

How do you find the eigenvalues of a 6x6 matrix?

To find the eigenvalues of a 6x6 matrix, you first need to find the characteristic equation by subtracting λI from the matrix and taking the determinant. Then, you can solve the equation for λ using methods such as factoring or the quadratic formula.

What is the significance of eigenspaces in a 6x6 matrix?

Eigenspaces in a 6x6 matrix represent the subspaces of the matrix that have a corresponding eigenvalue. They provide information about the behavior of the matrix when multiplied by a vector in that subspace, and can also be used to diagonalize the matrix.

Can a 6x6 matrix have more than 6 eigenspaces?

No, a 6x6 matrix can have a maximum of 6 eigenspaces. This is because the number of eigenspaces is equal to the number of distinct eigenvalues, and the maximum number of distinct eigenvalues for a 6x6 matrix is 6.

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