Worksheet 10
Problem 1
Let V be a finite-dimensional inner product space, let T∈L(V). Prove that λ is an eigenvalue of T if and only if λ is an eigenvalue of T∗.
Solution.
Recall that a linear map S∈L(V) is invertible if and only if S∗ is invertible. Applying this to S=T−λidV, we get
λ is an eigenvalue of T⟺T−λidV is not invertible⟺(T−λidV)∗ is not invertible⟺T∗−λidV is not invertible⟺λ is an eigenvalue of T∗.
Problem 7
Let V be a complex inner product space, let T∈L(V). Define T1=2T+T∗ and T2=i2T∗−T.
- Prove that T1 and T2 are self-adjoint and that T=T1+iT2.
- Suppose that T=U1+iU2 for U1,U2∈L(V) self-adjoint. Prove that U1=T1 and U2=T2.
- Prove that T is normal if and only if T1T2=T2T1.
Solution.
-
Recall that T∗∗=T. Then we check
(T1)∗=(2T+T∗)∗=2T∗+T=T1(T2)∗=(i2T∗−T)∗=−i2T−T∗=T2.
Note that for T2, we used the fact that i=−i. Lastly, because i2=−1,
T1+iT2=2T+T∗−2T∗−T=T.
-
Note that since (U1)∗=U1 and (U2)∗=U2, we have
{T=U1+iU2,T∗=U1−iU2.
Adding the equations, we get
T+T∗=2U1⟹U1=2T+T∗=T1.
Similarly, subtracting them gives
T−T∗=2iU2⟹U2=2iT−T∗⋅ii=i2T∗−T=T2.
-
We need to show that TT∗=T∗T. We can just expand
TT∗=(T1+iT2)(T1−iT2)=T12+iT2T1−iT1T2+T22=T12+iT1T2−iT2T1+T22=(T1−iT2)(T1+iT2)=T∗T.
Note that in the third-to-last equality, we used T1T2=T2T1.