Usng the spectral decompostion of diagonalizable matrix

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Homework Help Overview

The discussion revolves around finding the spectral decomposition of a given diagonalizable matrix \( A \) and using that decomposition to compute \( 2^{A} \). The subject area includes linear algebra concepts related to eigenvalues, eigenvectors, and matrix exponentiation.

Discussion Character

  • Exploratory, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • The original poster attempts to find the spectral projectors using Lagrange polynomials and expresses uncertainty about how to apply this to calculate \( 2^{A} \). Some participants suggest using the relationship between matrix exponentiation and the logarithm, while others reference a formula from the textbook regarding functions of matrices.

Discussion Status

Participants are actively discussing the steps needed to compute \( 2^{A} \) using the spectral decomposition. Some have proposed potential expressions for \( 2^{A} \) based on their calculations of the spectral projectors, while others are clarifying the application of the formulas. There is a recognition of previous contributions that could simplify the current problem.

Contextual Notes

There are indications of confusion stemming from minor errors in calculations, which have led to doubts about the correctness of the approaches taken. The discussion reflects a collaborative effort to clarify and verify the steps involved in the spectral decomposition process.

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Homework Statement


Find the spectral decompostion of
$$
A=

\begin{matrix}
1 & 0 & 0\\
-1 & 1 & 1 \\
-1 & 0 & 2
\end{matrix}
$$
and use this to find $$ 2^{A} $$

Homework Equations





The Attempt at a Solution


I have found the eigenvalues to be : $$ \lambda_{1}=1 \text{ and } \lambda_{2}=2 $$

My textbook (matrices and linear transformations, Cullen) uses lagrange polynomials to find the spectral projectors:
$$
h_{1}(x)=\frac{x-2}{1-2}=-(x-2)\\
h_{2}(x)=\frac{x-1}{2-1}=(x-2)\\

E_{1}=h_{1}(A)\\

E_{2}=h_{2}(A)\\

\therefore A=E_{1}+2E_{2}

$$
However I now need to use this to solve for $$ 2^{A} $$
I think I need to write $$ 2^{x} $$ as an infinite series, but I am not sure how to do this.
 
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You know how to write [itex]e^A[/itex] as an infinite series, right? [itex]2^A=e^{A \log 2}[/itex]
 
The textbook I am using says:
[tex] f(A)=\sum_{i=0}^{t}f(\lambda_{i})E_{i}[/tex]

I still don't understand how to put everything together to get the answer. :(
 
After much puzzling, I believe I have the answer:

[tex] 2^{A}=2E_{1}+2^{2}E_{2}[/tex]

where I have found
[tex] E_{1}=\begin{bmatrix} 1&0&0\\1&1& \-1\\1&0&0\end{bmatrix}[/tex]

[tex] E_{2}=\begin{bmatrix}0&0&0\\-1&0&1\\-1&0&1\end{bmatrix}[/tex]

so I have
[tex] 2^{A}=\begin{bmatrix} 2&0&0\\\-2&2&2\\\-2&0&4\end{bmatrix}[/tex]
 
Last edited:
syj said:
After much puzzling, I believe I have the answer:

[tex] 2^{A}=2E_{1}+2^{2}E_{2}[/tex]

where I have found
[tex] E_{1}=\begin{bmatrix} 1&0&0\\1&1& \-1\\1&0&0\end{bmatrix}[/tex]

[tex] E_{2}=\begin{bmatrix}0&0&0\\-1&0&1\\-1&0&1\end{bmatrix}[/tex]

so I have
[tex] 2^{A}=\begin{bmatrix} 2&0&0\\\-2&2&2\\\-2&0&4\end{bmatrix}[/tex]

Why did it require much puzzling? You gave the answer in a previous post:
[tex]f(A) = f(\lambda_1) E_1 + f(\lambda_2) E2,[/tex]
and f(x) = 2x.

RGV
 
ha ha , it required puzzling, because I knew that
[tex] p(x)=\sum_{i=1}^{n}p(\lambda_{i})h_{i}(x)[/tex]
would have to be such that
[tex] p(A)=2^{A}[/tex]
but because of a silly mistake of writing a 0 instead of a 1, I was not getting that conclusion and so thought all my work was incorrect.
 

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