General solution to system of equations and initial value problem

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SUMMARY

The discussion focuses on solving a system of equations represented in matrix form, specifically the matrix [1 2; 0 3]. The eigenvalues identified are 1 and 3, derived from the characteristic equation (1 - λ)(3 - λ) = 0. The corresponding eigenvectors are determined to be <1, 0> and <1, 1>. The conversation emphasizes the importance of correctly identifying eigenvalues and eigenvectors to solve the initial value problem and plot the phase portrait.

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Homework Statement



Find the general solution for the following systems of equations, a solution to the
initial value problem and plot the phase portrait.
--> this is in matrix formx' =

1 2
0 3

all multiplied by x.

also, x(0) =

2
-1

Homework Equations



Determinant, etc.

The Attempt at a Solution



I first use the eigen values and get it to:

eigenvalue1 = 1; eigenvalue2= 3

however, when I start with 1, my matrix is pretty screwed up:

0 2
0 2

So when I'm trying to figure out the values for the eigenvector I am confused. I don't know what to put it as.

Any help would be appreciated. Thanks.
 
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hi paperweight11! :smile:
paperweight11 said:
I first use the eigen values and get it to:

eigenvalue1 = 1; eigenvalue2= 3

how did you get those? :confused:

(those would be the eigenvalues for 1,0,,0,3)
 
They are also the eigenvalues for
\begin{bmatrix} 1 &amp; 2 \\ 0 &amp; 3\end{bmatrix}
since the characteristic equation is just
\left|\begin{array}{cc}1- \lambda &amp; 2 \\ 0 &amp; 3- \lambda\end{array}\right|= (1- \lambda)(3- \lambda)= 0
(The eigenvalues for any triangular matrix are just the values on the diagonal.)

The eigenvectors must satisfy
\begin{bmatrix}1 &amp; 2 \\ 0 &amp; 3\end{bmatrix}\begin{bmatrix}x \\ y \end{bmatrix}= \begin{bmatrix}x \\ y\end{bmatrix}
so x+ 2y= x and y= y. x+ 2y= x reduces to y= 0 which gives <1, 0> as an eigenvector, and
\begin{bmatrix}1 &amp; 2 \\ 0 &amp; 3\end{bmatrix}\begin{bmatrix}x \\ y \end{bmatrix}= \begin{bmatrix}3x \\ 3y\end{bmatrix}
so x+ 2y= 3x and 3y= 3y so that y= x which gives <1, 1> as an eigenvector.

( Your
0 2
0 2
is the same as 2y= 0 so the eigenvector is <1, 0>.)
 

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