Lecture 16 - Finishing Isometries

We define an isometry:

isometry

  • An operator S∈L(V) is called an isometry if:
    ‖Sv‖=‖v‖
    for all v∈V.
  • In other words, an operator is an isometry if it preserves norms.

For instance, when is the operator λI an isometry. We need:

⟨λIv,λIv⟩=⟨v,v⟩∀v∈Vλλ―⟨v,v⟩=⟨v,v⟩∀v∈V

Thus λλ―=1 so then |λ|=1. So λ lives in the unit circle on the complex plane.

But this was a specific operator. What about operators with more than that single λ? Can an operator with an orthonormal eigenbasis be an isometry? Suppose S∈L(V) and we have an orthonormal eigenbasis via the (Complex/Real) Spectral Theorem; e1,...,en corresponding to the eigenvalue λ1,...,λn.

Note that:

v=∑i=1n⟨v,ei⟩ei⇒‖v‖2=∑i=1n|⟨v,ei⟩|2

Thus:

Sv=∑i=1nλi⟨v,ei⟩⇒‖Sv‖2=∑i=1n|λi|2||⟨v,ei⟩|2

We want to require that |v‖=‖Sv‖ so then we desire that all |λi|2=1 so |λi|=1 (note that theis has to be true for any v chosen, so choosing v=e1,...,en each case yields the case above).

Characterization of isometries

  • S is an isometry
  • ⟨Su,Sv⟩=⟨u,v⟩ for all u,v∈V
  • Se1,...,Sen is orthonormal for every orthonormal list of vectors e1,...,en in V
  • ∃ an orthonormal basis e1,...,en of V such that Se1,...,Sen is orthonormal.
  • S∗S=I
  • SS∗=I
  • S∗ is an isometry
  • S is invertible and S−1=S∗.

Here think of:

Proof
We go (a) → (b) → … → (h) → (a)