- Characteristic polynomial
This is the determinant of
[1–λ 2 ]
[ 0 3–λ]
which is
(1–λ)(3–λ)–2(0)=(1–λ)(3–λ). I
don't want to multiply things, because the next step uses the
factored form.
- Eigenvalues
The roots of the characteristic polynomial are 1 and 3 and these are
the eigenvalues.
- Bases for eigenspaces
- λ=1
So
[1–λ 2 ]
[ 0 3–λ]
becomes
[0 2]
[0 2]
and the vectors which solve the corresponding homogeneous system all
have their second coordinates equal to 0. A basis for that subspace
is the set consisting of the single vector
[1]
[0].
- λ=3
So
[1–λ 2 ]
[ 0 3–λ]
becomes
[–2 2]
[ 0 0]
and the vectors which solve the corresponding homogeneous system all
have the difference of their coordinates equal to 0 (using the first
row: –2x1+2x2=0, so
x1=x2). A basis for that subspace is the set
consisting of the single vector
[1]
[1].
The matrix can can be diagonalized: A=PDP–1 where
P is
[1 1]
[0 1]
and D is
[1 0]
[0 3].