Orthogonal Complement

Definition (Orthogonal complement)

Let VV be an Inner Product Space and let W⊂VW\subset V be a Subspace. We define the orthogonal complement to WW to be W⊥:={v∈V:⟨v,w⟩=0,∀w∈W}W^{\perp}:=\{ v\in V: \langle v, w \rangle =0, \forall w\in W \} That is, W⊥W^{\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 W⊂VW\subset V is a Subspace, then W⊥⊂VW^{\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 W⊂VW\subset V is a subspace, then W∩W⊥={0}W\cap W^{\perp}=\{ 0 \}.
  5. If U,W⊂VU,W\subset V are subspaces with U⊂WU\subset W, then W⊥⊂U⊥W^{\perp}\subset U^{\perp}.

Proposition (The Orthogonal complement is a complementary subspace)

If VV is an Inner Product Space, and let W⊂VW\subset V be a finite dimensional Subspace, thenV=W⊕WTV=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 W⊂VW\subset V is a finite dimensional Subspace then (W⊥)⊥=W(W^{\perp})^{\perp}=W

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