Trouble with complex eigenvector

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Homework Help Overview

The discussion revolves around solving a differential equation involving a matrix, specifically focusing on finding eigenvectors associated with complex eigenvalues. The original poster presents a matrix and initial condition, along with their attempts at using Gauss-Jordan elimination to reduce the matrix for eigenvector extraction.

Discussion Character

  • Exploratory, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants discuss the process of plugging eigenvalues into the matrix and attempting to reduce it using Gauss-Jordan elimination. There are questions about the correctness of the eigenvalues and the method of reduction, with some participants suggesting alternative approaches to finding the eigenvector.

Discussion Status

The discussion is ongoing, with participants providing insights and corrections regarding the eigenvalues. Some guidance has been offered regarding the potential simplification of the problem by focusing on one equation rather than performing full row reduction. There is no explicit consensus on the best approach yet.

Contextual Notes

Participants note discrepancies in the eigenvalues initially presented, leading to confusion in the reduction process. The original poster acknowledges a mistake in recording the eigenvalues, which may impact their approach to finding the eigenvector.

Mindscrape
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The problem is to solve the differential equation where
[tex]\mathbf{x'} = \left(<br /> \begin{array}{cc}<br /> 1 & -5\\<br /> 1 & -3<br /> \end{array}<br /> \right) <br /> \mathbf{x}[/tex]
given that
[tex]\mathbf{x(0)} = \left( \begin{array}{cc} 5 \\ 4 \end{array} \right)[/tex]

The eigenvalues are easy to find, and they are:
[tex]\lambda = 1 + i[/tex]
and
[tex]\lambda = 1 - i[/tex]

I am having trouble reducing the complex matrix with Gauss-Jordan elimination, and was wondering if I could get some pointers. Here is what I have done:
By pluging in the first eigenvalue the matrix to reduce is

[tex]\left( \begin{array}{cc}<br /> -i & -5\\<br /> 1 & -4 - i<br /> \end{array}<br /> \right)[/tex]

then I figure that I should multiply by i on the top and divide by -4-i on the bottom so that the pivots are 1 and real:
This makes
[tex]\left( \begin{array}{cc}<br /> 1 & -5i\\<br /> \frac{1}{-4-i} & 1<br /> \end{array}<br /> \right)[/tex]

I tried to take it from here, but I wasn't able to get anywhere. I tried complex conjugates in various places, and multiplying i here and there, but no luck. Most of the difficulty I am having is just reducing the second row to the zero row. I can get a zero at (2,1), but getting (2,2) to zero is proving difficult.
 
Last edited:
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Okay, here is the rest of my work in the hope that someone can point out where I went wrong:

Take the matrix with the first eigenvalue plugged in, which is

[tex]\left( \begin{array}{cc}<br /> -i & -5\\<br /> 1 & -4 - i<br /> \end{array}<br /> \right)[/tex]

now multiply the top row by i

[tex]\left( \begin{array}{cc}<br /> 1 & -5i\\<br /> 1 & -4 - i<br /> \end{array}<br /> \right)[/tex]

multiply the bottom row by 5

[tex]\left( \begin{array}{cc}<br /> 1 & -5i\\<br /> 5 & -20 - 5i<br /> \end{array}<br /> \right)[/tex]

in row 2, subtract row 1

[tex]\left( \begin{array}{cc}<br /> 1 & -5i\\<br /> 4 & -20<br /> \end{array}<br /> \right)[/tex]

in (1/4)row 2, subtract row 1

[tex]\left( \begin{array}{cc}<br /> 1 & -5i\\<br /> 0 & -5+5i<br /> \end{array}<br /> \right)[/tex]

multiply the top row by (1-i) and the bottom by -1

[tex]\left( \begin{array}{cc}<br /> 1-i & -5i+5\\<br /> 0 & -5i+5<br /> \end{array}<br /> \right)[/tex]

then this gives

[tex]\left( \begin{array}{cc}<br /> 1 & 0\\<br /> 0 & -i+1<br /> \end{array}<br /> \right)[/tex]

It is almost Gauss Jordan, but the second pivot is complex, and this isn't even the result I want. I want the bottom row to be zeros so that I can compose the eigenvector.
 
hmm, it looks like your eigenvalues may be slightly off
 
Mindscrape said:
The problem is to solve the differential equation where
[tex]\mathbf{x'} = \left(<br /> \begin{array}{cc}<br /> 1 & -5\\<br /> 1 & -3<br /> \end{array}<br /> \right) <br /> \mathbf{x}[/tex]
given that
[tex]\mathbf{x(0)} = \left( \begin{array}{cc} 5 \\ 4 \end{array} \right)[/tex]

The eigenvalues are easy to find, and they are:
[tex]\lambda = 1 + i[/tex]
and
[tex]\lambda = 1 - i[/tex]

Yes, the eigenvalues are easy to find- but they are NOT 1+ i and 1- i!
 
Last edited by a moderator:
I can't remember much linear algebra so I can't justify the following. But anyway, you don't need to row reduce. Simply solve either one of the equations and the solution will automatically satisfy the other equation. In other words, you only need to work with one equation to extract the eigenvector.
 
Whoops, just realized I copied the values down wrong after I solved for them. They should be:
[tex]\lambda = -1 + i[/tex]
and
[tex]\lambda = -1 - i[/tex]

Now I can solve.
 

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