Canonical Form of Matrices: Understanding and Transforming

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Homework Help Overview

The discussion revolves around transforming a given matrix into its canonical form, with participants exploring the definitions and types of canonical forms, such as Jordan canonical form and upper triangular matrices.

Discussion Character

  • Conceptual clarification, Assumption checking, Problem interpretation

Approaches and Questions Raised

  • Participants question the definition of "canonical form" and discuss various types, including Jordan and rational canonical forms. There are attempts to clarify the specific transformation being sought, with references to row operations and the resulting matrix forms.

Discussion Status

The discussion is ongoing, with participants providing guidance on looking up definitions and clarifying the types of canonical forms. There is a mix of interpretations regarding the intended transformation, and some participants express confusion about the definitions and examples provided.

Contextual Notes

There appears to be a lack of consensus on what is meant by "canonical form," and participants are addressing potential misunderstandings regarding the types of matrices involved and the operations to be performed.

Physicsissuef
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Homework Statement


Matrix:
[tex] \left| \begin{array}{ccc}<br /> \-1 & -2 & 5 \\<br /> 6 & 3 & -4 \\<br /> -3 & 3 & -11 \end{array} \right|\] [/tex]

Homework Equations


The Attempt at a Solution



How will this matrix transferred into canonical form? What is actually canonical form?
 
Last edited:
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Good question. How does your textbook define "canonical form"? Look it up in the index.

I ask for two reasons. First, you need to learn to look things up for yourself. Second, I'm not sure what you mean by "canonical" form. I know "Jordan canonical form" (also called "Jordan Normal form"), "rational canonical form", and "Frobenius canonical form". It's perfectly correct to use "canonical form" as long as you are talking about just one of those but I don't know which.
 
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In my book, says, turn that matrix with row transformations.
For example.
[tex]R_2\rightarrow 3*R_1+R_3[/tex]
So I'll get:
[tex] \left| \begin{array}{ccc}<br /> \-1 & -2 & 5 \\<br /> 6 & 0 & 0 \\<br /> -3 & 3 & -11 \end{array} \right|\] [/tex]
 
Turn it into what? Triangular form? Row Echelon?
 
HallsofIvy said:
Turn it into what? Triangular form? Row Echelon?

Turn into canonical scale matrix. Like
[tex] \left| \begin{array}{ccc}<br /> \ 1 & -2 & 0 \\<br /> 0 & 0 & 1 \\<br /> 0 & 0 & 0 \end{array} \right|\] [/tex]
 
Do u know some other method of turning?
 
I know how to do many different things by "row operations". I was trying to get you to tell what kind of "canonical" matrix you were talking about! It appears that you mean what I would call an "upper triangular matrix". Unfortunately, an example is not a definition (I've lost track of how many times I have told students that). In particular, you example has two 0s on the diagonal which is not, in general, possible. An "upper triangular matrix is a matrix that has only 0s below the main diagonal, but can have anything on or above it. But I don't see how
[tex]R_2\rightarrow 3*R_1+R_3[/tex]
will accomplish that or what it is intended to accomplish. Could you please give me your definition of "canonical (scale) matrix" as I asked initially?
 
Physicsissuef said:
[tex]R_2\rightarrow 3*R_1+R_3[/tex]
While that is a row operation, it's not an elementary row operation, nor is it the product of such operations.
 
Physicsissuef said:
[tex]R_2\rightarrow 3*R_1+R_3[/tex]

Hurkyl said:
While that is a row operation, it's not an elementary row operation, nor is it the product of such operations.

Oh, you're right. I didn't even notice the change in index.
 
  • #10
In scale matrices, there are zeros like scales, it is not upper triangular matrix. So I can create scale with minimum 0 zero in one row, and +1 in the others.
 

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