Linearly Independent Eigen Vectors

AI Thread Summary
The discussion revolves around the calculation of eigenvalues and eigenvectors, initially leading to confusion due to incorrect eigenvalue results. The correct eigenvalues were identified as +3 and +3, with the corresponding eigenvector being [+1, -1], indicating that there is only one linearly independent eigenvector. Participants clarified that the matrix in question is Hermitian, which affects the properties of the eigenvectors. The thread emphasizes the importance of showing work in mathematical solutions to facilitate understanding. Ultimately, the initial confusion was resolved, confirming the correct eigenvalues and their implications for linear independence.
jaus tail
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Solved (sorry i tried again and realized my E-values were wrong)
1. Homework Statement

upload_2018-1-30_14-46-49.png


Homework Equations


Find Eigen Values and then what?

The Attempt at a Solution


I got eigen values as 3 and -3.
Now how to proceed?
I got Eigen Vector as: 1, 1 for eigen value of 3
and eigen vector as 8, 2 for eigen value of -3
so these are 2 independent eigen vector.
Book answer is B.
How?
 

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Show your work, not just the results, please
 
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Okay. Will be careful for next time.
I'm struggling with this question. Thought of posting here instead of in other thread.
upload_2018-1-30_17-7-35.png

I think it's hermition matrix as A = (transpose and then conjugate of A)
But book says answer is D.
 

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jaus tail said:
Thought of posting here instead of in other thread
Better to start a new thread: you get more help that way, too !

Post #1 resolved ?
 
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Yes post#1 is solved. I had calculated wrong Eigen Values. Eigen values are +3, and +3. For +3 Eigen Vectors are [+1, -1] and there is no other combination of Eigen Vector that isn't a linear multiple of this vector. So there's only 1 Eigen Vector.
 
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For post #3 I agree with you.
 
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Thanks.
 
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