The geometric mutiplicity of a matrix

In summary, the conversation discusses a 5x5 matrix with 1s in all entries and finding the geometric multiplicity of lambda=0 as an eigenvalue. The conversation also touches on solving equations and the number of distinct equations that can be obtained from the variables. Finally, an example of using Sage to find eigenvalues and eigenspaces is provided.
  • #1
chuy52506
77
0
It is a 5x5 matrix with 1s in all of its entries.
Find the geometric multiplicity of [tex]\lambda[/tex]=0 as an eigenvalue of the matrix.
 
Physics news on Phys.org
  • #2
What have you done yourself?

Solve the equation
[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].

How many distinct equations do you get relating those variables? Can you solve for some in terms of the others?
 
  • #3
Here's the text of a http://www.sagenb.org/" that answers your question.
Since you've shown no work, I'll leave the interpretation up to you.

Code:
sage: A = Matrix(QQ,[[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]]); A
[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]

sage: A.eigenvalues()
[5, 0, 0, 0, 0]

sage: A.eigenspaces()
[
(5, Vector space of degree 5 and dimension 1 over Rational Field
User basis matrix:
[1 1 1 1 1]),
(0, Vector space of degree 5 and dimension 4 over Rational Field
User basis matrix:
[ 1  0  0  0 -1]
[ 0  1  0  0 -1]
[ 0  0  1  0 -1]
[ 0  0  0  1 -1])
]
 
Last edited by a moderator:

What is the geometric multiplicity of a matrix?

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

Why is the geometric multiplicity important?

The geometric multiplicity provides important information about the structure and behavior of a matrix, particularly in terms of its eigenvalues and eigenvectors. It can also help determine the dimension of the associated eigenspace.

How is the geometric multiplicity calculated?

The geometric multiplicity can be calculated by finding the number of linearly independent eigenvectors associated with a particular eigenvalue. This can be done by finding the null space of the matrix's characteristic polynomial at that eigenvalue.

What is the relationship between the geometric multiplicity and the algebraic multiplicity?

The geometric multiplicity is always less than or equal to the algebraic multiplicity, which is the number of times an eigenvalue appears as a root of the characteristic polynomial. However, in some cases, the two may be equal.

How does the geometric multiplicity affect diagonalizability?

A matrix is diagonalizable if and only if the geometric multiplicity of each eigenvalue is equal to its algebraic multiplicity. If the geometric multiplicity is less than the algebraic multiplicity, the matrix is not diagonalizable.

Similar threads

  • Linear and Abstract Algebra
Replies
1
Views
811
  • Linear and Abstract Algebra
Replies
10
Views
2K
  • Linear and Abstract Algebra
Replies
2
Views
609
Replies
4
Views
2K
  • Linear and Abstract Algebra
Replies
14
Views
1K
  • Linear and Abstract Algebra
Replies
1
Views
603
  • Linear and Abstract Algebra
Replies
3
Views
1K
  • Linear and Abstract Algebra
Replies
1
Views
1K
  • Linear and Abstract Algebra
Replies
3
Views
2K
  • Linear and Abstract Algebra
Replies
12
Views
1K
Back
Top