Yoss
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I need to classify the conic given by the following equation:
x^2 + xy + 4y^2 + 3x - 9 = 0
I found A = \left(\begin{array}{cc}1 & \frac{1}{2}\\\frac{1}{2} & 4\end{array}\right)
I need to find an orthogonal matrix P with detP = 1.
So I find the eigenvalues of A
I get (\lambda - 1)(\lambda - 4) - \frac{1}{4} = 0
or \lambda_1 = \frac{5 + \sqrt{10}}{2} , \lambda_2 = \frac{5 - \sqrt{10}}{2}
I can't seem to get a P, whose columns are the normalized solutions to
(\lambda - 1)x -.5y = 0
-.5x + (\lambda - 4)y = 0
for each eigenvalue. Is there a certain way you deal with these when your eigenvalues are not 'nice'? Should I just deal with them in decimal notation? Thanks for any advice.
x^2 + xy + 4y^2 + 3x - 9 = 0
I found A = \left(\begin{array}{cc}1 & \frac{1}{2}\\\frac{1}{2} & 4\end{array}\right)
I need to find an orthogonal matrix P with detP = 1.
So I find the eigenvalues of A
I get (\lambda - 1)(\lambda - 4) - \frac{1}{4} = 0
or \lambda_1 = \frac{5 + \sqrt{10}}{2} , \lambda_2 = \frac{5 - \sqrt{10}}{2}
I can't seem to get a P, whose columns are the normalized solutions to
(\lambda - 1)x -.5y = 0
-.5x + (\lambda - 4)y = 0
for each eigenvalue. Is there a certain way you deal with these when your eigenvalues are not 'nice'? Should I just deal with them in decimal notation? Thanks for any advice.