Triangularity of a matrix over the unitarian space

In summary, the conversation discusses a theorem in a book that states every matrix is similar to a triangular matrix if the characteristic polynomial can be written as a multiplication of linear terms. The conversation then goes on to discuss the possibility of finding an orthogonal/orthonormal basis in which the matrix is triangular, and the potential usefulness of this theorem. There is also a mention of using the fact that every matrix in a unitary space is similar to a Jordan matrix, and the idea of transforming a Jordan basis into an orthonormal Jordan basis. However, there is some doubt expressed about the truth of the theorem, as it may not hold in general.
  • #1
estro
241
0
In my book I have a theorem that every matrix is similar to a triangular matrix if the characteristic polynomial could be wrote as a multiplication of linear terms.
Now suppose we are dealing with a matrix over a unitarian space we know that we can write its characteristic polynomial as a multiplication of linear forms, now what I'm trying to prove is that I can find an orthogonal/orthonormal basis in which the matrix is triangular.

Is this true?
Can you give me a hint how to prove such as thing?
[If this is true many examples that I see in my book could be proved in more compact and neat form, so I think this is very useful theorem...]

[EDIT] I have an idea now to use the fact that every matrix in the unitarian space similar to a jordan matrix, so I only need to show that jordan basis could be transformed into orthonormal jordan basis...
 
Last edited:
Physics news on Phys.org
  • #2
Hi estro! :smile:

estro said:
In my book I have a theorem that every matrix is similar to a triangular matrix if the characteristic polynomial could be wrote as a multiplication of linear terms.
Now suppose we are dealing with a matrix over a unitarian space we know that we can write its characteristic polynomial as a multiplication of linear forms, now what I'm trying to prove is that I can find an orthogonal/orthonormal basis in which the matrix is triangular.

Is this true?
Can you give me a hint how to prove such as thing?
[If this is true many examples that I see in my book could be proved in more compact and neat form, so I think this is very useful theorem...]

[EDIT] I have an idea now to use the fact that every matrix in the unitarian space similar to a jordan matrix, so I only need to show that jordan basis could be transformed into orthonormal jordan basis...

Firstly, what is the "unitarian space", I have never heard of this term before...

Secondly, (depending on what unitarian space is), I don't think your theorem is true. If there were an orthogonal basis in which the matrix is triangular, then this would mean that there is a orthogonal basis of (generalized) eigenvectors. But this is not true in general.
 
  • #3
unitarian space is a liner space V over the field C where the Inner product defined.
I'll think about what you said.
 
Last edited:
  • #4
estro said:
unitarian space is a liner space V over the field C where the Inner product defined.

Ah, that would be a unitary space. I did see that term once, I completely forgot it :frown:
 

FAQ: Triangularity of a matrix over the unitarian space

1) What is the definition of triangularity in a matrix over the unitarian space?

Triangularity in a matrix over the unitarian space refers to the arrangement of the elements in a matrix in a triangular shape, where the elements above or below the main diagonal are all zero. This is a common property of unitarian matrices, which are matrices whose inverse is equal to its transpose.

2) What are the benefits of having a triangular matrix in the unitarian space?

A triangular matrix in the unitarian space has several benefits, including easier computation of determinants and inverses, as well as simpler solutions to systems of equations. Additionally, triangular matrices are often used in algorithms for solving linear equations.

3) How is triangularity of a matrix over the unitarian space related to eigenvalues and eigenvectors?

The eigenvalues and eigenvectors of a triangular matrix over the unitarian space can be easily computed. The eigenvalues are simply the elements on the main diagonal, while the eigenvectors can be found by solving a simple system of equations. This relationship makes triangular matrices useful in eigenvalue computations.

4) Can a matrix over the unitarian space be both triangular and symmetric?

Yes, a matrix over the unitarian space can be both triangular and symmetric. This type of matrix is known as a symmetric triangular matrix, and it has the properties of both a triangular matrix and a symmetric matrix, such as having all real eigenvalues and orthogonal eigenvectors.

5) How does the triangularity of a matrix over the unitarian space affect its rank?

The triangularity of a matrix over the unitarian space does not affect its rank, as the rank of a matrix is determined by the number of linearly independent rows or columns, not the arrangement of its elements. However, triangular matrices do have a special case where the rank is equal to the number of non-zero elements on the main diagonal.

Similar threads

Replies
14
Views
2K
Replies
7
Views
3K
Replies
2
Views
980
Replies
6
Views
2K
Replies
2
Views
3K
Replies
18
Views
2K
Replies
4
Views
2K
Replies
10
Views
2K
Back
Top