Orthogonal Complement

Definition (Orthogonal complement)

Let VV be an Inner Product Space and let WVW\subset V be a Subspace. We define the orthogonal complement to WW to be W:={vV:v,w=0,wW}W^{\perp}:=\{ v\in V: \langle v, w \rangle =0, \forall w\in W \} That is, WW^{\perp} is the set of vectors that are orthogonal to all vectors in WW.

Proposition (Properties of Orthogonal Complements)

Let VV be an inner product space

  1. If WVW\subset V is a Subspace, then WVW^{\perp}\subset V is also a subspace
  2. The Orthogonal Complement to the zero subspace is {0}=V\{ 0 \}^{\perp}=V
  3. The orthogonal complement to VV is V={0}V^{\perp}=\{ 0 \}
  4. If WVW\subset V is a subspace, then WW={0}W\cap W^{\perp}=\{ 0 \}.
  5. If U,WVU,W\subset V are subspaces with UWU\subset W, then WUW^{\perp}\subset U^{\perp}.

Proposition (The Orthogonal complement is a complementary subspace)

If VV is an Inner Product Space, and let WVW\subset V be a finite dimensional Subspace, thenV=WWTV=W\oplus W^{T} i.e. their Direct Sum equals the vector space.

Proposition (Double complement returns the original subspace)

If VV is an Inner Product Space and WVW\subset V is a finite dimensional Subspace then (W)=W(W^{\perp})^{\perp}=W

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