Canonical Form of Matrices: Understanding and Transforming

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SUMMARY

The discussion focuses on transforming a given matrix into its canonical form, specifically addressing the definitions and methods for achieving this transformation. Participants clarify the distinction between various canonical forms, including Jordan canonical form, rational canonical form, and Frobenius canonical form. The conversation emphasizes the importance of understanding the specific type of canonical form intended, as well as the correct application of row operations, such as R_2 → 3*R_1 + R_3, which are not elementary row operations. Ultimately, the goal is to achieve a scale matrix with specific zero placements rather than an upper triangular matrix.

PREREQUISITES
  • Understanding of matrix transformations and row operations
  • Familiarity with canonical forms, including Jordan and Frobenius forms
  • Knowledge of linear algebra concepts, particularly matrix echelon forms
  • Ability to perform elementary row operations
NEXT STEPS
  • Research the definitions and applications of Jordan canonical form
  • Study the process of converting matrices to rational canonical form
  • Learn about the properties and uses of scale matrices in linear algebra
  • Explore the differences between upper triangular matrices and other canonical forms
USEFUL FOR

Students and educators in linear algebra, mathematicians interested in matrix theory, and anyone looking to deepen their understanding of matrix transformations and canonical forms.

Physicsissuef
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Homework Statement


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

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.
R_2\rightarrow 3*R_1+R_3
So I'll get:
<br /> \left| \begin{array}{ccc}<br /> \-1 &amp; -2 &amp; 5 \\<br /> 6 &amp; 0 &amp; 0 \\<br /> -3 &amp; 3 &amp; -11 \end{array} \right|\] <br />
 
Turn it into what? Triangular form? Row Echelon?
 
HallsofIvy said:
Turn it into what? Triangular form? Row Echelon?

Turn into canonical scale matrix. Like
<br /> \left| \begin{array}{ccc}<br /> \ 1 &amp; -2 &amp; 0 \\<br /> 0 &amp; 0 &amp; 1 \\<br /> 0 &amp; 0 &amp; 0 \end{array} \right|\] <br />
 
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
R_2\rightarrow 3*R_1+R_3
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:
R_2\rightarrow 3*R_1+R_3
While that is a row operation, it's not an elementary row operation, nor is it the product of such operations.
 
Physicsissuef said:
R_2\rightarrow 3*R_1+R_3

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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