For any vector subspace of a Hilbert space the orthogonal complement and the closure of that subspace form a direct sum of the entire space
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[hide]Statement
Let ((X,K),⟨⋅,⋅⟩) be a Hilbert space and let L⊆X be a vector subspace of the vector space (X,K), then[1]:
- L⊥ - the orthogonal complement of L - is a (topologically) closed set of X[Note 1]
- X=¯L⊕L⊥ - where ¯A denotes the closure of a set A∈P(X) and ⊕ the direct sum of vector spaces
- This means ∀x∈X∃x1∈¯L∃x2∈L⊥[x=x1+x2∧∀a∈¯L∀b∈L⊥[x=a+b⟹(a=x1∧b=x2)]⏟Uniqueness ][Note 2]
Proof
We have some precursors which we use here:
- The orthogonal complement of a vector subspace is a vector subspace
- The orthogonal complement of a vector subspace is a topologically closed set
- The closure of a linear subspace of a normed space is a linear subspace
- A subspace of a vector space over the real or complex numbers is a convex set and
- Given a Hilbert space and a non-empty, closed and convex subset then for each point in the space there is a closest point in the subset
Proof:
- Let x∈X be given
- By given a Hilbert space and a non-empty, closed and convex subset then for each point in the space there is a closest point in the subset we know:
- ∃x1∈¯L[∥x−x1∥=Infa∈¯L(∥x−a∥)]and furthermore such an x1 is unique.
- ∃x1∈¯L[∥x−x1∥=Infa∈¯L(∥x−a∥)]
- Define x1∈¯L to be the unique point such that ∥x−x1∥=Infa∈ˉL(∥x−a∥)
- Now x2=x−x1 is uniquely determined by x and x1 (as a vector space is an (additive) Abelian group)[Note 3]
- If x2∈L⊥ we'd be done, we will show this.
- Suppose x2∉L⊥, that means ∃z∈¯L[⟨x−x1,z⟩≠0]
- Define z∈¯L to be such that ⟨x2,z⟩≠0
- Suppose x2∉L⊥, that means ∃z∈¯L[⟨x−x1,z⟩≠0]
- By given a Hilbert space and a non-empty, closed and convex subset then for each point in the space there is a closest point in the subset we know:
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Notes
- Jump up ↑ With X considered with the topology induced by the metric d, which is the metric induced by the norm ∥⋅∥ which is the norm induced by the inner product ⟨⋅,⋅⟩
- Jump up ↑ That's just:
- ∀x∈X∃x1∈¯L∃x2∈L⊥[x=x1+x2] where the x1 and x2 are unique
- Note that if we want x=x1+x2 then x2=x−x1 and as a vector space is an Abelian group over addition, x2 is unique if x1 is
- ∀x∈X∃x1∈¯L∃x2∈L⊥[x=x1+x2] where the x1 and x2 are unique
- Jump up ↑ TODO: Expand this
References