Solving Eigenvectors for Root -7 of 2x3 Matrix

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Homework Statement



Find eigenvector for the root -7 of:

|2 3|
|3 -6|

Homework Equations



|2 3|
|3 -6|

The Attempt at a Solution



I got
1
-3

But my books says
-1
3

I am only wondering if this is possibly the same answer, because when I check my answer by multiplying the eigenvector by the original matrix and the root by the eigenvector the answer appears correct.

I.e.
|2 3|
|3 -6| times (1/-3) = (-7)(1/-3) = -7/21, while if you do the same for (-1/3), allbeit a different answer, but the condition still holds.

Is this correct? Is this condition truly the indicator of if you got the correct answer? (original vector * eigenvector) = (root * eigenvector)
 
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Yes, any "eigenvector", v, corresponding to a given eigenvalue (I would not say "root") [itex]\lambda[/itex], of matrix A, has the property that [itex]Av= \lambda v[/itex].

What you are missing is that if [itex]v[/itex] is such an eigenvector then [itex]av[/itex], for any number a, is also an eigenvector, corresponding to eigenvalue [itex]\lambda[/itex]: [itex]A(av)= a (Av)= a(\lambda v)= \lambda (av)[/itex].

In particular, with a= -1, if v is an eigenvalue then so is -v. The eigenvector is NOT unique.
 
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HallsofIvy said:
Yes, any "eigenvector", v, corresponding to a given eigenvalue (I would not say "root") [itex]\lambda[/itex], of matrix A, has the property that [itex]Av= \lambda v[/itex].

What you are missing is that if [itex]v[/itex] is such an eigenvector then [itex]av[/itex], for any number a, is also an eigenvector, corresponding to eigenvalue [itex]\lambda[/itex]: [itex]A(av)= a (Av)= a(\lambda v)= \lambda (av)[/itex].

In particular, with a= -1, if v is an eigenvalue then so is -v. The eigenvector is NOT unique.

Thanks a lot.

Just to confirm, the signs in this case do not matter and both answers are correct? I am such a noobie...
 
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