The geometric mutiplicity of a matrix

In summary, the conversation discusses finding the geometric multiplicity of an eigenvalue of a 5x5 matrix with 1s in all of its entries. The suggested method is to use the characteristic equation and row reduction, and then determine the number of independent eigenvectors corresponding to the eigenvalue of 0. This can be done by solving a single equation in 5 unknowns and finding a basis for the "eigenspace".
  • #1
chuy52506
77
0

Homework Statement


It is a 5x5 matrix with 1s in all of its entries.


Homework Equations


Find the geometric multiplicity of [tex]\lambda[/tex]=0 as an eigenvalue of the matrix.


The Attempt at a Solution

WHat i did was use the characteristic equation of A-[tex]\lambda[/tex]I
and then row reduce it. After that I am not sure what to do?
 
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  • #2
how about taking the determinant?

the elementary row operations should not change the lambda^n term in the factored characteristic equation, only its multiplier
 
  • #3
I'm not sure what lanedance meant about "taking the determinant". Obviously the determinant is 0. Perhaps he meant finding the characteristice equation which will obviously have [itex]\lambda= 0[/itex] as a multiple root but that would only tell you the algebraic multiplicity, not the geometric multiplicity (which can be any positive integer up to the algebraic multiplicity).

The geometric multiplicity of an eigenvalue is the number of independent eigenvectors corresponding to that eigenvalue, the dimension of the "eigenspace" correspondimng to that eigenvalue.

Here, you need to determine the number of independent solutions to
[tex]\begin{bmatrix}1 & 1 & 1 & 1 & 1 \\1 & 1 & 1 & 1 & 1\\1 & 1 & 1 & 1 & 1\\1 & 1 & 1 & 1 & 1\\1 & 1 & 1 & 1 & 1\end{bmatrix}\begin{bmatrix}x_1 \\ x_2 \\ x_3 \\ x_4 \\ x_5\end{bmatrix}= \begin{bmatrix}0 \\ 0 \\ 0\\ 0 \\ 0\end{bmatrix}[/tex]

That reduces to
[tex]\begin{bmatrix}x_1+ x_2+ x_3+ x_4+ x_5\\x_1+ x_2+ x_3+ x_4+ x_5\\x_1+ x_2+ x_3+ x_4+ x_5\\x_1+ x_2+ x_3+ x_4+ x_5\\x_1+ x_2+ x_3+ x_4+ x_5\end{bmatrix}= \begin{bmatrix}0 \\ 0 \\ 0 \\ 0 \\ 0 \end{bmatrix}[/tex]

or the single equation [itex]x_1+ x_2+ x_3+ x_4+ x_5= 0[/itex].

That is a single equation in 5 unknowns so you can solve for one of them in terms of the other four. You should be able to easily write down a basis for the "eigenspace" now.
 

1. What is the geometric multiplicity of a matrix?

The geometric multiplicity of a matrix is the number of linearly independent eigenvectors associated with a specific eigenvalue.

2. How is the geometric multiplicity related to the algebraic multiplicity of a matrix?

The algebraic multiplicity of a matrix is the number of times a specific eigenvalue appears in the characteristic polynomial of the matrix. The geometric multiplicity is always less than or equal to the algebraic multiplicity.

3. Why is the geometric multiplicity important in linear algebra?

The geometric multiplicity provides information about the behavior of a matrix and its associated eigenvalues. It helps determine whether a matrix is diagonalizable and can also be used to find the Jordan canonical form of a matrix.

4. Can a matrix have a geometric multiplicity of 0?

Yes, it is possible for a matrix to have a geometric multiplicity of 0. This means that there are no linearly independent eigenvectors associated with a specific eigenvalue, and the matrix is not diagonalizable.

5. How can the geometric multiplicity be calculated?

The geometric multiplicity can be calculated by finding the nullity of the matrix A-λI, where A is the original matrix and λ is the eigenvalue of interest. This nullity represents the number of linearly independent eigenvectors associated with that eigenvalue.

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