Putting a matrix into Rational Canonical Form

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SUMMARY

The discussion focuses on the process of converting a matrix into Rational Canonical Form (RCF) using the matrix $$A=\left( \begin{matrix}2 & -2 & 14 \\ 0 & 3 & -7 \\ 0 & 0 & 2\end{matrix}\right)$$. The user encounters difficulties in achieving the correct transformation and questions the correctness of their conjugation matrix $$P=\left( \begin{matrix}0 & 0 & -2 \\ 7 & 1 & 3\\1 & 0 & 0 \end{matrix}\right)$$. It is clarified that multiple valid matrices can exist for the same transformation, as different sequences of row and column operations yield different bases for the direct sum decomposition of the vector space.

PREREQUISITES
  • Understanding of Rational Canonical Form (RCF)
  • Familiarity with matrix row operations and transformations
  • Knowledge of linear algebra concepts such as basis and direct sum decomposition
  • Experience with commutative properties of matrices
NEXT STEPS
  • Study the process of finding Rational Canonical Form for various matrices
  • Learn about the implications of different bases in direct sum decompositions
  • Explore the relationship between matrices that commute and their transformations
  • Investigate the fundamental theorem of finitely generated modules over Principal Ideal Domains (PIDs)
USEFUL FOR

Mathematicians, students of linear algebra, and anyone involved in advanced matrix theory or module theory will benefit from this discussion.

imurme8
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I'm trying to put a matrix into RCF, and I keep running into problems. I've checked my work a few times, so I think I must be making a conceptual error. Here's what I've got: $$A=\left( \begin{matrix}2 & -2 & 14 \\ 0 & 3 & -7 \\ 0 & 0 & 2\end{matrix}\right)\quad \text{ so }\quad xI-A=\left( \begin{matrix}x-2 & 2 & -14 \\ 0 & x-3 & 7 \\ 0 & 0 & x-2\end{matrix}\right).$$Diagonalizing gives $$\overset{C_1\leftrightarrow C_2}{\longrightarrow}\left( \begin{matrix}2 & x-2 & -14 \\ x-3 & 0 & 7 \\0 & 0 & x-2\end{matrix}\right)\overset{R_2-(\frac{1}{2}x-\frac{3}{2})R_1\mapsto R_2}{\longrightarrow}\left( \begin{matrix}2 & x-2 & -14 \\ 0 & -\frac{1}{2}x^2+\frac{5}{2} x-3& 7x-14 \\0 & 0 & x-2\end{matrix}\right)$$$$\overset{C_2-(\frac{1}{2}x-1)C_1\mapsto C_2}{\longrightarrow}\left( \begin{matrix}2 & 0 & -14 \\ 0 & -\frac{1}{2}x^2+\frac{5}{2} x-3& 7x-14 \\0 & 0 & x-2\end{matrix}\right)\overset{C_3+7C_1\mapsto C_3}{\longrightarrow}\left(\begin{matrix}2 & 0 & 0 \\ 0 & -\frac{1}{2}x^2+\frac{5}{2} x-3& 7x-14 \\0 & 0 & x-2\end{matrix}\right)$$$$\overset{C_3 \leftrightarrow C_2}{\longrightarrow}\left( \begin{matrix}2 & 0 & 0 \\ 0 & 7x-14 & -\frac{1}{2}x^2+\frac{5}{2} x-3\\0 & x-2 & 0 \end{matrix}\right)\overset{R_2\leftrightarrow R_3}{\longrightarrow}\left( \begin{matrix}2 & 0 & 0 \\ 0 & x-2 & 0\\0 & 7x-14 & -\frac{1}{2}x^2+\frac{5}{2} x-3 \end{matrix}\right)$$$$\overset{R_3-7R_2\mapsto R_3}{\longrightarrow}\left( \begin{matrix}2 & 0 & 0 \\ 0 & x-2 & 0\\0 & 0 & -\frac{1}{2}x^2+\frac{5}{2} x-3 \end{matrix}\right) \overset{ \frac{1}{2}C_1 }{ \longrightarrow } \left( \begin{matrix}1 & 0 & 0 \\ 0 & x-2 & 0\\0 & 0 & -\frac{1}{2}x^2+\frac{5}{2} x-3 \end{matrix}\right)$$$$\overset{-2C_3}{\longrightarrow}\left( \begin{matrix}1 & 0 & 0 \\ 0 & x-2 & 0\\0 & 0 & x^2-5x+6 \end{matrix}\right).$$The row operations we used were $$R_2-(\frac{1}{2}x-\frac{3}{2})R_1\mapsto R_2, R_2\leftrightarrow R_3, R_3-7R_2\mapsto R_3,$$ giving operations on the basis elements $$\{\beta_1, \beta_2, \beta_3\}$$ as follows: $$\beta_1+(\frac{1}{2}x - \frac{3}{2})\beta_2\mapsto \beta_1,$$ $$\beta_2\leftrightarrow \beta_1, \beta_2+7\beta_3\mapsto \beta_2.$$ So if we start with the standard basis for $$\mathbb{Q}^3 \quad \varepsilon_1=(1,0,0)\quad \varepsilon_2=(0,1,0)\quad \varepsilon_3=(0,0,1),$$ they should change to $$(\varepsilon_1, \varepsilon_2, \varepsilon_3)\to (\varepsilon_1+(\frac{1}{2}x-\frac{3}{2})\varepsilon_2, \varepsilon_2, \varepsilon_3)\to (\varepsilon_1+(\frac{1}{2}x-\frac{3}{2})\varepsilon_2, \varepsilon_3, \varepsilon_2)$$$$\to (\varepsilon_1+(\frac{1}{2}x-\frac{3}{2})\varepsilon_2, \varepsilon_3+7\varepsilon_2, \varepsilon_2).$$

I calculate that first entry is zero, as it should be since we have a unit in the first entry of the matrix. Then I get that the other two are $$(1,0,0)+7(0,1,0)=(0,7,1)$$ and $$(0,1,0).$$ This would give a conjugation matrix $$P=\left( \begin{matrix}0 & 0 & -2 \\ 7 & 1 & 3\\1 & 0 & 0 \end{matrix}\right).$$But this is not the answer in the text. What am I doing wrong? This is driving me crazy.

Here's a link to the way they do it in the text, using a different way to row reduce.

http://imgur.com/8BLgD
http://imgur.com/1OJuU
http://imgur.com/N7riK
 
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You're not making a mistake: your P is correct, as is theirs. Generally, there will be different possible P's, corresponding to different possible canonical bases (which in turn correspond to the different possible sequences of row/column operations performed in the beginning). Remember that you are finding bases for a direct sum decomposition of V that puts A into a nice form. It's possible to give different bases for each direct summand that will accomplish this, provided the bases are in some sense 'invariant under A'.

More specifically, suppose we know that P transforms A into rational form, i.e., ##P^{-1}AP## is in rational form. Then so will ##QP## for any Q that commutes with A, for in this case we would have ##(QP)^{-1}A(QP)=P^{-1}Q^{-1}AQP=P^{-1}Q^{-1}QAP=P^{-1}AP##.

Now note that your P and Dummit & Foote's P are related as follows: $$ \begin{pmatrix}0 & 0 & -2 \\ 7 & 1 & 3\\1 & 0 & 0\end{pmatrix} = \underbrace{\begin{pmatrix}2 & 2 & 0 \\0 & 1 & 0 \\0&0&1\end{pmatrix}}_{Q}\begin{pmatrix}-7 & -1 & -4 \\ 7 & 1 & 3\\1 & 0 & 0\end{pmatrix},$$ and we do indeed have that AQ=QA.
 
Thank you! I am now trying to understand how not only the basis, but the direct summands in the decomposition itself my not be canonical (i.e., the fundamental theorem of finitely generated modules over PIDs says that given two different elementary divisor decompositions, the direct summands must be isomorphic, but they may not always be the same. However, the p-primary components are invariant). Can you help me to conceptualize this? Thanks
 

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