If, when solving
Av=λv, you get
only v=0 then
λ is NOT an eigenvalue!
You have, as characteristic equation,
λ3+3λ2+3λ+1=(λ+1)3=0 so the only eigenvalue is
λ=−1. When the characteristic equation has a "triple root" the space of eigenvector can have dimension, depending on the precise values in the matrix, one, two, or three.
Here, with eigenvalue
λ=3, you have the three equations
7x1−6x2+5x3=0
14x1−12x2+10x3=0
7x1−6x2+5x3=0
Obviously the first and third equations are the same and the second equation is just twice the other 2. You really have just one equation. And far from having only (0, 0, 0) as solution, we have a two dimensional space of solutions!
We can solve any one of the equations for one of the unknowns in terms of the other two. For example,
x1=76x2−75x3. In particular, taking
x2=7,
x3=0 we get the eigenvector
(6,7,0) and, taking
x2=0,
x3=7 we get the independent eigenvector
(−5,0,7). The space of eigenvectors is the span of those two vectors so any eigenvector, corresponding to eigenvalue -1 is of the form
a(6,7,0)+b(−5,0,7)=(6a−5b,7a,7b)foranynumbersaandb.