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Measure, Integration & Real Analysis, 2021a

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300 Chapter 10 Linear Maps on Hilbert Spaces<br />

For real Hilbert spaces, the next result requires the additional hypothesis that T<br />

is self-adjoint. To see that this extra hypothesis cannot be eliminated, consider the<br />

operator T : R 2 → R 2 defined by T(x, y) =(−y, x). Then, T ̸= 0, but with the<br />

standard inner product on R 2 ,wehave〈Tf, f 〉 = 0 for all f ∈ R 2 (which you can<br />

verify either algebraically or by thinking of T as counterclockwise rotation by a right<br />

angle).<br />

10.46 〈Tf, f 〉 = 0 for all f implies T = 0<br />

Suppose V is a Hilbert space, T ∈B(V), and 〈Tf, f 〉 = 0 for all f ∈ V.<br />

(a) If F = C, then T = 0.<br />

(b) If F = R and T is self-adjoint, then T = 0.<br />

Proof<br />

First suppose F = C. Ifg, h ∈ V, then<br />

〈Tg, h〉 =<br />

〈T(g + h), g + h〉−〈T(g − h), g − h〉<br />

4<br />

+<br />

〈T(g + ih), g + ih〉−〈T(g − ih), g − ih〉<br />

4<br />

as can be verified by computing the right side. Our hypothesis that 〈Tf, f 〉 = 0<br />

for all f ∈ V implies that the right side above equals 0. Thus 〈Tg, h〉 = 0 for all<br />

g, h ∈ V. Taking h = Tg, we can conclude that T = 0, which completes the proof<br />

of (a).<br />

Now suppose F = R and T is self-adjoint. Then<br />

〈T(g + h), g + h〉−〈T(g − h), g − h〉<br />

10.47 〈Tg, h〉 = ;<br />

4<br />

this is proved by computing the right side using the equation<br />

〈Th, g〉 = 〈h, Tg〉 = 〈Tg, h〉,<br />

where the first equality holds because T is self-adjoint and the second equality holds<br />

because we are working in a real Hilbert space. Each term on the right side of 10.47<br />

is of the form 〈Tf, f 〉 for appropriate f . Thus 〈Tg, h〉 = 0 for all g, h ∈ V. This<br />

implies that T = 0 (take h = Tg), completing the proof of (b).<br />

Some insight into the adjoint can be obtained by thinking of the operation T ↦→ T ∗<br />

on B(V) as analogous to the operation z ↦→ z on C. Under this analogy, the<br />

self-adjoint operators (characterized by T ∗ = T) correspond to the real numbers<br />

(characterized by z = z). The first two bullet points in Example 10.45 illustrate this<br />

analogy, as we saw that a multiplication operator on L 2 (μ) is self-adjoint if and only<br />

if the multiplier is real-valued almost everywhere.<br />

The next two results deepen the analogy between the self-adjoint operators and<br />

the real numbers. First we see this analogy reflected in the behavior of 〈Tf, f 〉, and<br />

then we see this analogy reflected in the spectrum of T.<br />

<strong>Measure</strong>, <strong>Integration</strong> & <strong>Real</strong> <strong>Analysis</strong>, by Sheldon Axler<br />

i,

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