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Well this "notation" couldn't have been more confusing. For anyone else confused, this is what they are asking for:
The k_1 and k_2 (or both k_1's as they wrote it) are simply the fact that a multiple of an eigenvector is also an eigenvector.
What is actually k1 here?
k is the positive integer variable (consider it as a multiple)
Check this: https://www.safaribooksonline.com/library/view/linear-algebra-concepts/9781107484535/16_chapter-title-8.html
I could not understand the formula provided -
v1 = k1 [+1 A ]T
Ans is -2 -1 right? I am getting WA!
yes it is correct but you are not putting in the correct form
type each solution in the seperate line.
you will ge tthe answer correctly.
Got it! Thnxx! :-)
Isn't there 2 eigenvectors? One for when lambda = -1 and one for lambda = -2? So like one is (-1,1) and the other is (-2,-1) ?
I got span[-1 1] for lambda -1 and span [-2 1] for lambda -2
I think in the lambda -2 case you might have made a mistake because row reduced echelon form of the matrix is:
Therefore if v1 == - 1/2*v2, you then multiply by -2 and you get [-2 1] as the solution for the vector v.
I double checked this solution.
Nonetheless, I have no idea how to enter this into the solution box!
see what bennattj wrote: A and B fill the column vectors (1 A) and (1 B).
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