584 CHAPTER 22. HILBERT SPACES

22.4 Orthonormal SetsThe concept of an orthonormal set of vectors is a generalization of the notion of the standardbasis vectors of Rn or Cn.

Definition 22.4.1 Let H be a Hilbert space. S ⊆ H is called an orthonormal set if∥x∥= 1 for all x ∈ S and (x,y) = 0 if x,y ∈ S and x ̸= y. For any set, D,

D⊥ ≡ {x ∈ H : (x,d) = 0 for all d ∈ D} .

If S is a set, span(S) is the set of all finite linear combinations of vectors from S.

You should verify that D⊥ is always a closed subspace of H. It is assumed that ourHilbert spaces are not {0}.

Theorem 22.4.2 In any separable Hilbert space H, there exists a countable or-thonormal set, S = {xi} such that the span of these vectors is dense in H. Furthermore, ifspan(S) is dense, then for x ∈ H,

x =∞

∑i=1

(x,xi)xi ≡ limn→∞

n

∑i=1

(x,xi)xi. (22.14)

Also, (x,y) = ∑∞i=1 (x,xi)(y,yi).

Proof: Let F denote the collection of all orthonormal subsets of H. F is nonemptybecause some {x} ∈F where ∥x∥= 1. The set, F is a partially ordered set with the ordergiven by set inclusion. By the Hausdorff maximal theorem, there exists a maximal chain,C in F . Then let S≡∪C. It follows S must be a maximal orthonormal set of vectors. Thisis because if x,y ∈ S, then both vectors are in a single C ∈ C. Therefore, (x,y) = 0 or one.

It remains to verify that S is countable span(S) is dense, and the condition, 22.14 holds.To see S is countable note that if x,y ∈ S, then

∥x− y∥2 = ∥x∥2 +∥y∥2−2Re(x,y) = ∥x∥2 +∥y∥2 = 2.

Therefore, the open sets, B(x, 1

2

)for x ∈ S are disjoint and cover S. Since H is assumed

to be separable, there exists a point from a countable dense set in each of these disjointballs showing there can only be countably many of the balls and that consequently, S iscountable as claimed.

It remains to verify 22.14 and that span(S) is dense. If span(S) is not dense, thenspan(S) is a closed proper subspace of H and letting y /∈ span(S),z ≡ y−Py

||y−Py|| ∈ span(S)⊥

where P is the projection map mentioned earlier. But then S∪{z} would be a larger or-thonormal set of vectors contradicting the maximality of S.

It remains to verify 22.14. Let S = {xi}∞

i=1 and consider the problem of choosing theconstants, ck in such a way as to minimize the expression∥∥∥∥∥x−

n

∑k=1

ckxk

∥∥∥∥∥2

=

∥x∥2 +n

∑k=1|ck|2−

n

∑k=1

ck (x,xk)−n

∑k=1

ck(x,xk).

584 CHAPTER 22. HILBERT SPACES22.4 Orthonormal SetsThe concept of an orthonormal set of vectors is a generalization of the notion of the standardbasis vectors of R” or C”.Definition 22.4.1 Let H be a Hilbert space. S CH is called an orthonormal set if||x|| = 1 for all x € S and (x,y) = 0 ifx,y € Sand x # y. For any set, D,Dt ={x€H: (x,d) =O forall d €D}.If S is a set, span (S) is the set of all finite linear combinations of vectors from S.You should verify that D1 is always a closed subspace of H. It is assumed that ourHilbert spaces are not {0}.Theorem 22.4.2 in any separable Hilbert space H, there exists a countable or-thonormal set, S = {x;} such that the span of these vectors is dense in H. Furthermore, ifspan (S) is dense, then for x € H,nx=) (xx) x; = Him 2 ( X,Xj) Xj. (22.14)Mei=]Also, (x,y) =¥2, (x, xi) 0, yi).Proof: Let .¥ denote the collection of all orthonormal subsets of H. ¥Y is nonemptybecause some {x} € ¥ where ||x|| = 1. The set, F is a partially ordered set with the ordergiven by set inclusion. By the Hausdorff maximal theorem, there exists a maximal chain,€ in F. Then let S = UEC. It follows S must be a maximal orthonormal set of vectors. Thisis because if x,y € S, then both vectors are in a single C € €. Therefore, (x,y) = 0 or one.It remains to verify that S is countable span (S) is dense, and the condition, 22.14 holds.To see S is countable note that if x, y € S, then2 2 2 2 2Ilx—yll° = [lal + lly —2Re (x,y) = [all + [ly = 2.Therefore, the open sets, B (x, 5) for x € S are disjoint and cover S. Since H is assumedto be separable, there exists a point from a countable dense set in each of these disjointballs showing there can only be countably many of the balls and that consequently, S iscountable as claimed.It remains to verify 22.14 and that span(S) is dense. If span(S) is not dense, thenspan (S) is a closed proper subspace of H and letting y ¢ span(S),z= hy I € span (S)*where P is the projection map mentioned earlier. But then SU {z} would be a larger or-thonormal set of vectors contradicting the maximality of S.It remains to verify 22.14. Let S = {x;};°., and consider the problem of choosing theconstants, cz in such a way as to minimize the expression2X— y: ChXkk=1n n nIIx? + Y lal? — V(x) det (x,¥%)-k=l k=l k=l