Using diagonalization to find A^k

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Homework Help Overview

The discussion revolves around finding the powers of a given matrix A, specifically A^n and A^{-n}, where A is a 2x2 matrix. The problem involves concepts from linear algebra, particularly diagonalization and matrix exponentiation.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants explore different methods for expressing A^n, including diagonalization and alternative formulations. Some participants question the simplicity of the original approach and suggest alternative expressions that unify even and odd powers. Others provide specific calculations for A^2 and derive general forms based on the parity of n.

Discussion Status

The discussion is active, with participants offering different perspectives on the problem. Some have provided alternative formulations for A^n, while others have raised questions about the validity and proof of these expressions for all integer values of n.

Contextual Notes

There is a concern regarding the complexity of the expressions derived for A^n and the potential difficulty in finding A^{-n}. Participants are also considering whether the derived equations are universally applicable or require proof.

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Homework Statement



[tex]A = \begin{pmatrix}<br /> 1 & 4\\<br /> 2 & -1<br /> \end{pmatrix}[/tex]

Find [itex]A^n[/itex] and [itex]A^{-n}[/itex] where n is a positive integer.


Homework Equations





The Attempt at a Solution



[tex](xI - A) = \begin{pmatrix}<br /> x-1 & -4\\<br /> -2 & x+1<br /> \end{pmatrix}[/tex]
[tex]det(xI - A) = (x-3)(x+3)[/tex]
[tex]λ_1 = 3\quad λ_2 = -3[/tex]

[tex]\begin{pmatrix}<br /> 2 & -4\\<br /> -2 & 4\end{pmatrix}<br /> \begin{pmatrix}<br /> a\\<br /> b<br /> \end{pmatrix}<br /> = \begin{pmatrix}<br /> 0\\<br /> 0<br /> \end{pmatrix}\quad<br /> \begin{pmatrix}<br /> a\\<br /> b<br /> \end{pmatrix}<br /> = \begin{pmatrix}<br /> 2\\<br /> 1<br /> \end{pmatrix}[/tex]
[tex]\begin{pmatrix}<br /> -4 & -4\\<br /> -2 & -2\end{pmatrix}<br /> \begin{pmatrix}<br /> c\\<br /> d<br /> \end{pmatrix}<br /> = \begin{pmatrix}<br /> 0\\<br /> 0<br /> \end{pmatrix}\quad<br /> \begin{pmatrix}<br /> c\\<br /> d<br /> \end{pmatrix}<br /> = \begin{pmatrix}<br /> -1\\<br /> 1<br /> \end{pmatrix}[/tex]
[tex]P = \begin{pmatrix}<br /> λ_1 & λ_2<br /> \end{pmatrix}<br /> = \begin{pmatrix}<br /> 2 & -1\\<br /> 1 & 1<br /> \end{pmatrix}[/tex]
[tex]P^{-1} = \begin{pmatrix}<br /> \frac{1}{3} & \frac{1}{3}\\<br /> \frac{-1}{3} & \frac{2}{3}<br /> \end{pmatrix}[/tex]
[tex]D = \begin{pmatrix}<br /> λ_1 & 0\\<br /> 0 & λ_2<br /> \end{pmatrix}<br /> = \begin{pmatrix}<br /> 3 & 0\\<br /> 0 & -3<br /> \end{pmatrix}[/tex]
[tex]PD^nP^{-1} = A^n<br /> = \begin{pmatrix}<br /> 2 & -1\\<br /> 1 & 1<br /> \end{pmatrix}<br /> \begin{pmatrix}<br /> 3^n & 0\\<br /> 0 & -3^n<br /> \end{pmatrix}<br /> \begin{pmatrix}<br /> \frac{1}{3} & \frac{1}{3}\\<br /> \frac{-1}{3} & \frac{2}{3}<br /> \end{pmatrix}[/tex]
[tex]= \begin{pmatrix}<br /> 2(3^n) & -(-3)^n\\<br /> 3^n & (-3)^n<br /> \end{pmatrix}<br /> \begin{pmatrix}<br /> \frac{1}{3} & \frac{1}{3}\\<br /> \frac{-1}{3} & \frac{2}{3}<br /> \end{pmatrix}[/tex]
[tex]= \begin{pmatrix}<br /> \frac{2}{3}(3^n) + \frac{1}{3}((-3)^n) & \frac{2}{3}(3^n) - \frac{2}{3}((-3)^n)\\<br /> \frac{1}{3}(3^n) - \frac{1}{3}((-3)^n) & \frac{1}{3}(3^n) + \frac{2}{3}((-3)^n)<br /> \end{pmatrix}[/tex]

I think that everything I've done so far is correctly, but I can't find any way to simplify this equation any further, and I don't think that I could find [itex]A^{-n}[/itex] with an equation this complicated, so I must be missing something.
 
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There are different ways of writing that out, you might not have pick the most simple. Another way is something like

A^n=(3^n)(1/2)((1+(-1)^n)I+(1/3)(1-(-1)^n)A)

which you can see is lot like yours, note all that (-1)^n stuff is just to unify the even and odd terms

even A^n=(3^n)I

odd A^n=(3^n)(1/3)A

I=A^0 the 2x2 identity matrix
 
Frankly, the first thing I would have done would be to note that
[tex]A^2= \begin{pmatrix}1 & 4 \\ 2 & -1\end{pmatrix}^2= \begin{pmatrix}9 & 0 \\ 0 & 9\end{pmatrix}= 9\begin{pmatrix}1 & 0 \\ 0 & 1\end{pmatrix}[/tex]

From that it follows immediately that if n is even, [itex]A^n= 3^nI[/itex] and if n is odd, [itex]A^n= 3^{n-1}A[/itex]
 
Thanks for your responses. Are those equations self-evident or is there a proof that they apply for all values of [itex]n[/itex]?
 

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