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A self-adjoint operator is detected by its quadratic form

Statement

Let K be a complex Hilbert space and let S∈B(K) be self-adjoint (Self-adjoint, positive, unitary and normal operators, Hilbert space, A bounded linear operator between normed spaces). Then ∥S∥=sup⁡∥η∥=1∣⟨Sη,η⟩∣, and if S≥0 (that is, ⟨Sη,η⟩≥0 for every η) then ∥S∥=sup⁡∥η∥=1⟨Sη,η⟩. The supremum is taken over the unit sphere of K; when K={0} the supremum over the empty set is understood as 0 in [0,∞), and the statements read 0=0. No attainment of the supremum is asserted.

Facts & Assumptions

Given: a complex Hilbert space K and a self-adjoint bounded operator S∈B(K).

[A1]

The pairing is linear in the first argument and conjugate-linear in the second, and ⟨v,v⟩=∥v∥2 (Hilbert space, Real and complex inner-product spaces and their induced length). The operator norm satisfies ∥Tv∥≤∥T∥ ∥v∥ and, when K≠{0}, ∥T∥=sup⁡∥v∥=1∥Tv∥; when K={0}, ∥T∥=0 (The operator norm as the least bound and as the unit-sphere or unit-ball supremum).

[A2]

Cauchy–Schwarz: ∣⟨v,w⟩∣≤∥v∥ ∥w∥ (Cauchy–Schwarz: ∣⟨x,y⟩∣≤∥x∥ ∥y∥, with equality exactly for dependent pairs).

[A3]

The parallelogram law holds: ∥v+w∥2+∥v−w∥2=2∥v∥2+2∥w∥2 (The parallelogram law).

[A4]

S is self-adjoint, so ⟨Sv,w⟩=⟨v,Sw⟩ for all v,w by the defining identity of its adjoint (The Hilbert-space adjoint of a bounded operator); and S≥0 means ⟨Sη,η⟩≥0 for every η (Self-adjoint, positive, unitary and normal operators). Only the given self-adjoint operator and its defining identity are used; existence of adjoints for arbitrary operators is not invoked.

Proof

technique · direct

Given: a complex Hilbert space K, a self-adjoint S∈B(K), and the number M:=sup⁡∥η∥=1∣⟨Sη,η⟩∣ with value 0 when K={0}.

1.1A1A2

M≤∥S∥: for unit η, Cauchy–Schwarz and ∥Sη∥≤∥S∥ give ∣⟨Sη,η⟩∣≤∥Sη∥≤∥S∥.

1.2A1A4

For unit x,y, self-adjointness gives ⟨S(x+y),x+y⟩=⟨Sx,x⟩+⟨Sx,y⟩+⟨Sy,x⟩+⟨Sy,y⟩ and ⟨S(x−y),x−y⟩=⟨Sx,x⟩−⟨Sx,y⟩−⟨Sy,x⟩+⟨Sy,y⟩, and ⟨Sy,x⟩=⟨Sx,y⟩‾; subtracting, 4Re⁡⟨Sx,y⟩=⟨S(x+y),x+y⟩−⟨S(x−y),x−y⟩.

2.1A3step 1.2

For unit x,y one has ∣⟨Sx,y⟩∣≤M: if u:=⟨Sx,y⟩≠0, replace y by the unit vector y′=(u/∣u∣)y, so that ⟨Sx,y′⟩=(u‾/∣u∣)⟨Sx,y⟩=∣u∣ is real and nonnegative; then step 1.2 applies to (x,y′), and bounding each quadratic form by M times the squared norm by rescaling nonzero vectors (the quadratic form at zero is zero) and applying the parallelogram law gives 4∣u∣=4Re⁡⟨Sx,y′⟩≤M(∥x+y′∥2+∥x−y′∥2)=4M.

3.1A1step 2.1

For unit x one has ∥Sx∥≤M: if Sx=0 this is clear, and otherwise y:=Sx/∥Sx∥ is a unit vector with ∣⟨Sx,y⟩∣=∥Sx∥, so step 2.1 applies; consequently ∥S∥=sup⁡∥x∥=1∥Sx∥≤M by [A1].

4.1A1A4step 1.1step 3.1∎

Steps 1.1 and 3.1 give M=∥S∥, which is the first display. If S≥0, then ⟨Sη,η⟩≥0 for every η by [A4], so ∣⟨Sη,η⟩∣=⟨Sη,η⟩ for every η and the same supremum equals sup⁡∥η∥=1⟨Sη,η⟩, giving the second display. When K={0} both suprema are the empty supremum 0 by the stated convention and ∥S∥=0.

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