Part 3.III

Banach Algebras and Spectral Theory

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Problem 3.10.1

Use the identity (xy)n=x(yx)n−1y(x y)^{n} = x(y x)^{n-1} y to prove that xyx y and yxy x always have the same spectral radius.

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Problem 3.10.2
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(a)

If xx and xyx y are invertible in AA, prove that yy is invertible.

(b)

If xyx y and yxy x are invertible in AA, prove that xx and yy are invertible. (The commutative case of this was tacitly used in the proofs of Theorems 10.13 and 10.28).

(c)

Show that it is possible to have xy=ex y = e but yx≠ey x \neq e. For example, consider the right and left shifts SRS_{R} and SLS_{L}, defined on some Banach space of functions ff on the nonnegative integers by

(SRf)(n)=f(n−1) if n≥1(SRf)(0)=0(SLf)(n)=f(n+1) for all n≥0 \begin{aligned} & \left(S_{R} f\right)(n) = f(n-1) \quad \text{ if } n \geq 1 \\ & \left(S_{R} f\right)(0) = 0 \\ & \left(S_{L} f\right)(n) = f(n+1) \quad \text{ for all } n \geq 0 \end{aligned}
(d)

If xy=ex y = e and yx=z≠ey x = z \neq e, show that zz is a nontrivial idempotent. (This means that z2=z,z≠0,z≠ez^{2} = z, z \neq 0, z \neq e).

Problem 3.10.3

Prove that every finite-dimensional AA is isomorphic to an algebra of matrices. Hint: The proof of Theorem 10.2 shows that every AA is isomorphic to a subalgebra of P(A)\mathscr {P}(A). Conclude that xy=ex y = e implies yx=ey x = e if dim⁡A<∞\operatorname {dim} A < \infty.

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Problem 3.10.4
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(a)

Prove that e−yxe-y x is invertible in AA if e−xye-x y is invertible. Suggestion: Put z=(e−xy)−1z = (e-x y)^{-1}, write zz as a geometric series (assume ∥x∥<1,∥y∥<1\left\| x\right\| < 1, \left\| y\right\| < 1), and use the identity stated in Exercise 1 to obtain a finite formula for (e−yx)−1(e-y x)^{-1} in terms of x,y,zx, y, z. Then show that this formula works without any restrictions on ∥x∥\left\| x\right\| or ∥y∥\left\| y\right\|.

(b)

If λ∈C,λ≠0\lambda \in \mathcal{C}, \lambda \neq 0, and λ∈σ(xy)\lambda \in \sigma (x y), prove that λ∈σ(yx)\lambda \in \sigma (y x). Thus σ(xy)∪{0}=σ(yx)∪{0}\sigma (x y) \cup \left\{ 0\right\} = \sigma (y x) \cup \left\{ 0\right\}. Show, however, that σ(xy)\sigma (x y) is not always equal to σ(yx)\sigma (y x).

Problem 3.10.5

Let A0A_{0} and A1A_{1} be the algebras of all complex 2-by-2 matrices of the form

[α00β],[αβ0α] \left[\begin{smallmatrix} \alpha & 0 \\ 0 & \beta \end{smallmatrix}\right], \quad \left[\begin{smallmatrix} \alpha & \beta \\ 0 & \alpha \end{smallmatrix}\right]

Prove that every two-dimensional complex algebra AA with unit ee is isomorphic to one of these and that A0A_{0} is not isomorphic to A1A_{1}. Hint: Show that AA has a basis {e,a}\left\{ e, a\right\} in which a2=λea^{2} = \lambda e for some λ∈C\lambda \in \mathbb {C}. Distinguish between the cases λ=0,λ≠0\lambda = 0, \lambda \neq 0. Show that there exists a three-dimensional noncommutative Banach algebra.

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Problem 3.10.6

Let AA be the algebra of all complex functions ff on {1,2,3,…}\left\{ 1,2,3, \ldots \right\} which are 0 except at finitely many points, with pointwise addition and multiplication and norm

∥f∥=∑k=1∞k−2∣f(k)∣ \left\| f\right\| = \sum _{k = 1}^{\infty } k^{-2}\left|f(k)\right|

Show that multiplication is left-continuous (hence also right-continuous, since AA is commutative) but not jointly continuous. (Adjunction of a unit element, as suggested in Section 10.1, would make no difference). Show, in fact, that there is a sequence {fn}\left\{ f_{n}\right\} in AA so that ∥fn∥→0\left\| f_{n}\right\| \rightarrow 0 but ∥fn2∥→∞\left\| f_{n}^{2}\right\| \rightarrow \infty, as n→∞n \rightarrow \infty.

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Problem 3.10.7

Let C2=C2([0,1])C^{2} = C^{2}([0,1]) be the space of all complex functions on [0, 1] whose second derivative is continuous. Choose a>0,b>0a > 0, b > 0, and define

∥f∥=∥f∥∞+a∥f′∥∞+b∥f′′∥∞ \left\| f\right\| = \left\| f\right\| _{\infty }+a\left\| f^{\prime }\right\| _{\infty }+b\left\| f^{\prime \prime }\right\| _{\infty }

Show that this makes C2C^{2} into a Banach space, for every choice of a,ba, b, but that the Banach algebra axioms hold if and only if 2b≤a22 b \leq a^{2}. (For necessity, consider xx and x2x^{2}).

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Problem 3.10.8

What happens if the process of adjoining a unit (described in Section 10.1) is applied to an algebra AA which already has a unit? Clearly, the result cannot be an algebra A1A_{1} with two units. Explain.

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Problem 3.10.9

Suppose that Ω\Omega is open in CC and that f:Ω→Af: \Omega \rightarrow A and φ:Ω→C\varphi : \Omega \rightarrow C are holomorphic. Prove that φf:Ω→A\varphi f: \Omega \rightarrow A is holomorphic.

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Remark.
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This was used in the proof of Theorem 10.13, with φ(λ)=λn\varphi (\lambda ) = \lambda^{n}.

Problem 3.10.10

Another proof that σ(x)≠∅\sigma (x) \neq \varnothing can be based on Liouville's theorem 3.32 and the fact that (λe−x)−1→0(\lambda e-x)^{-1} \rightarrow 0 as λ→∞\lambda \rightarrow \infty. Complete the details.

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Problem 3.10.11

Call x∈Ax \in A a topological divisor of zero if there is a sequence {yn}\left\{ y_{n}\right\} in AA, with ∥yn∥=1\left\| y_{n}\right\| = 1, such that

lim⁡n→∞xyn=0=lim⁡n→∞ynx \lim _{n \rightarrow \infty } x y_{n} = 0 = \lim _{n \rightarrow \infty } y_{n} x
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(a)

Prove that every boundary point xx of the set of all invertible elements of AA is a topological divisor of zero. Hint: Take yn=xn−1/∥xn−1∥y_{n} = x_{n}^{-1} /\left\| x_{n}^{-1}\right\|, where xn→xx_{n} \rightarrow x.

(b)

In which Banach algebras is 0 the only topological divisor of 0?

Problem 3.10.12

Find the spectrum of the operator T∈B(ℓ2)T \in \mathscr {B}\left(\ell^{2}\right) given by

T(x1,x2,x3,x4,…)=(−x2,x1,−x4,x3,…) T\left(x_{1}, x_{2}, x_{3}, x_{4}, \ldots \right) = \left(-x_{2}, x_{1},-x_{4}, x_{3}, \ldots \right)
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Problem 3.10.13

Suppose K={λ∈C:1≤∣λ∣≤2}K = \left\{ \lambda \in \mathscr {C}: 1 \leq \left|\lambda \right| \leq 2\right\}. Put f(λ)=λf(\lambda ) = \lambda. Let AA be the smallest closed subalgebra of C(K)C(K) that contains 1 and ff. Let BB be the smallest closed subalgebra of C(K)C(K) that contains ff and 1/f1 / f. Describe the spectra σA(f)\sigma_{A}(f) and σB(f)\sigma_{B}(f).

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Problem 3.10.14
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(a)

Fubini's theorem was applied to vector-valued integrals in the proof of Theorem 10.29. Justify this.

(b)

Construct a proof of Theorem 10.29 that uses no contour integrals, as follows: Prove the theorem first for polynomials gg, then for rational functions gg with no poles in Ω1\Omega_{1}, and obtain the general case from Runge's theorem.

Problem 3.10.15

Suppose XX is a Banach space, T∈B(X)T \in \mathscr {B}(X) is compact, and ∥Tn∥≥1\left\| T^{n}\right\| \geq 1 for all n≥1n \geq 1. Prove that the point spectrum of TT is not empty.

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Problem 3.10.16

Let X=C([0,1])X = C([0,1]) and define T∈B(X)T \in \mathscr {B}(X) by

(Tx)(s)=∫0sx(u)du(0≤s≤1) (T x)(s) = \int _{0}^{s} x(u) d u \quad (0 \leq s \leq 1)

Show that σp(T)=∅\sigma_{p}(T) = \varnothing. Hence f(σp(T))=∅f\left(\sigma_{p}(T)\right) = \varnothing for every ff, but if f≡0f \equiv 0, then f~(T)=\tilde{f}(T) = 0 ; hence

σp(f~(T))=σp(0)={0}≠∅ \sigma _{p}(\tilde{f}(T)) = \sigma _{p}(0) = \left\{ 0\right\} \neq \varnothing

The extra hypotheses in (c) and (d) of Theorem 10.33 are thus needed.

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Problem 3.10.17

Suppose that the spectrum of some x∈Ax \in A is not connected. Prove that AA contains a nontrivial idempotent 2. (This is defined in Exercise 2).

Prove also that A=A0⊕A1A = A_{0} \oplus A_{1}, where

A0={x:zx=0},A1={x:zx=x} A_{0} = \left\{ x: z x = 0\right\} , \quad A_{1} = \left\{ x: z x = x\right\}
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Problem 3.10.18

Suppose Ω\Omega is open in C,α\mathcal{C}, \alpha is an isolated boundary point of Ω,f:Ω→X\Omega , f: \Omega \rightarrow X is a holomorphic XX-valued function (where XX is some complex Banach space), and there is a smallest nonnegative integer nn such that

∣λ−α∣n∥f(λ)∥ \left|\lambda -\alpha \right|^{n}\left\| f(\lambda )\right\|

is bounded as λ→α\lambda \rightarrow \alpha. If n>0n > 0, then ff is said to have a pole of order nn at α\alpha.

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(a)

Suppose x∈Ax \in A and (λe−x)−1(\lambda e-x)^{-1} has a pole at every point of σ(x)\sigma (x). Prove that there is a nontrivial polynomial PP such that P(x)=0P(x) = 0.

(b)

As a special case of (a)(a), assume σ(x)={0}\sigma (x) = \left\{ 0\right\} and (λe−x)−1(\lambda e-x)^{-1} has a pole of order nn at 0. Prove that xn=0x^{n} = 0.

Remark.
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In part (a): this can happen only when σ(x)\sigma (x) is a finite set.

Problem 3.10.19

Let SRS_{R} be the right shift, acting on ℓ2\ell^{2}, as in Exercise 2. Let {cn}\left\{ c_{n}\right\} be a sequence of complex numbers such that cn≠0c_{n} \neq 0 but cn→0c_{n} \rightarrow 0 as n→∞n \rightarrow \infty. Define M∈B(ℓ2)M \in \mathscr {B}\left(\ell^{2}\right) by

(Mf)(n)=cnf(n)(n≥0) (M f)(n) = c_{n} f(n) \quad (n \geq 0)

and define T∈B(ℓ2)T \in \mathscr {B}\left(\ell^{2}\right) by T=MSRT = M S_{R}.

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(a)

Compute ∥Tm∥\left\| T^{m}\right\|, for m=1,2,3,…m = 1,2,3, \ldots.

(b)

Show that σ(T)={0}\sigma (T) = \left\{ 0\right\}.

(c)

Show that TT has no eigenvalue. (Its point spectrum is therefore empty, although its spectrum consists of a single point!)

(d)

Show that (λI−T)−1(\lambda I-T)^{-1} does not have a pole at 0.

(e)

Show that TT is a compact operator.

Problem 3.10.20

Suppose x∈A,xn∈Ax \in A, x_{n} \in A, and lim⁡xn=x\lim x_{n} = x. Suppose Ω\Omega is an open set in C\mathscr {C} that contains a component of σ(x)\sigma (x). Prove that σ(xn)\sigma \left(x_{n}\right) intersects Ω\Omega for all sufficiently large nn. (This strengthens Theorem 10.20). Hint: If σ(x)⊂Ω∪Ω0\sigma (x) \subset \Omega \cup \Omega_{0}, where Ω0\Omega_{0} is an open set disjoint from Ω\Omega, consider the function ff that is 1 in Ω,0\Omega , 0 in Ω0\Omega_{0}.

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Problem 3.10.21

Let CRC_{R} be the algebra of all real continuous functions on [0,1][0,1], with the supremum norm. This satisfies all requirements of a Banach algebra, except that the scalars are now real.

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(a)

If ϕ(f)=∫01f(t)dt\phi (f) = \int_{0}^{1} f(t) d t, then ϕ(1)=1\phi (1) = 1, and ϕ(f)≠0\phi (f) \neq 0 if ff is invertible in CRC_{R}, but ϕ\phi is not multiplicative.

(b)

If GG and G1G_{1} are defined in CRC_{R} as in Theorem 10.34, show that G/G1G / G_{1} is a group of order 2.

The analogues of Theorem 10.9 and (d) of Theorem 10.34 are thus false for real scalars. Exactly where would the proof of (d) of Theorem 10.34 break down?

Problem 3.10.22

Suppose A=C(T)A = C(T), the algebra of all continuous complex functions on the unit circle TT, with the supremum norm. Show that two invertible members of C(T)C(T) are in the same coset of G1G_{1} if and only if they are homotopic mappings of TT into the set of all nonzero complex numbers. Deduce from this that G/G1G / G_{1} is isomorphic to the additive group of the integers. (The notation is as in Theorem 10.34).

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Problem 3.10.23

Suppose A=M(R)A = M(R), the convolution algebra of all complex Borel measures on the real line; see (e) of Example 10.3. Supply the details in the following proof that G/G1G / G_{1} is uncountable: If α∈R\alpha \in R, let δα\delta_{\alpha } be the unit mass concentrated at α\alpha. Assume δα∈G1\delta_{\alpha } \in G_{1}. Then δα=exp⁡(μα)\delta_{\alpha } = \exp \left(\mu_{\alpha }\right) for some μα∈M(R)\mu_{\alpha } \in M(R); hence, for −∞<t<∞-\infty < t < \infty,

−iαt=μ^α(t)+2kπi -i \alpha t = \hat{\mu }_{\alpha }(t)+2 k \pi i

where kk is an integer. Since μ^α\hat{\mu }_{\alpha } is a bounded function, α=0\alpha = 0. Thus δ0\delta_{0} is the only δα\delta_{\alpha } in G1G_{1}. No coset of G1G_{1} in GG contains therefore more than one δα\delta_{\alpha }.

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Problem 3.10.24
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(a)

Prove that AA is commutative if there is a constant M<∞M < \infty such that ∥xy∥≤M∥yx∥\left\| x y\right\| \leq M\left\| y x\right\| for all xx and yy in A. Hint: ∥w−1yw∥≤M∥y∥\left\| w^{-1} y w\right\| \leq M\left\| y\right\| if ww is invertible in AA. Replace ww by exp⁡(λx)\exp (\lambda x), where x∈Ax \in A and λ∈C\lambda \in \mathbb {C}. Continue as in Theorem 12.16.

(b)

Prove that AA is commutative if ∥x2∥=∥x∥2\left\| x^{2}\right\| = \left\| x\right\|^{2} for every x∈Ax \in A. Hint: Show that ∥x∥=ρ(x)\left\| x\right\| = \rho (x). Use Exercise 1 to deduce that ∥w−1yw∥=∥y∥\left\| w^{-1} y w\right\| = \left\| y\right\|. Continue as in (a).

Problem 3.10.25

As regards the invariant subspace problem, described in the introduction to Theorem 10.35, explain why the problem is

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(a)

trivial in Cn\mathscr {C}^{n},

(b)

different in Rn\mathbb {R}^{n},

(c)

uninteresting if XX is not separable.

How should Lomonosov's theorem be reformulated when X=ΦnX = \Phi^{n}?

Problem 3.10.26

Let SRS_{R} be the right shift on ℓ2\ell^{2}, as in Exercise 2. Prove that 0 is the only compact T∈B(ℓ2)T \in \mathscr {B}\left(\ell^{2}\right) that commutes with SRS_{R}. Hint: If T≠0T \neq 0 then

∥T(SRNx)−T(SRMx)∥ \left\| T\left(S_{R}^{N} x\right)-T\left(S_{R}^{M} x\right)\right\|

does not tend to 0 when N−M→∞N-M \rightarrow \infty.

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Problem 3.11.1

Prove Proposition 11.2.

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Problem 3.11.2

State and prove an analogue of Wiener's lemma 11.6 for power series that converge absolutely on the closed unit disc.

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Problem 3.11.3

If XX is a compact Hausdorff space, show that there is a natural one-to-one correspondence between closed subsets of XX and closed ideals of C(X)C(X).

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Problem 3.11.4

Prove that the polynomials are dense in the polydisc algebra A(Un)A\left(U^{n}\right). (See Theorem 11.7). Suggestion: If f∈A(Un),0<r<1f \in A\left(U^{n}\right), 0 < r < 1, and frf_{r} is defined by fr(z)=f(rz)f_{r}(z) = f(r z), then frf_{r} is the sum of an absolutely (hence uniformly) convergent multiple power series on Uˉn\bar{U}^{n}.

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Problem 3.11.5

Suppose AA is a commutative Banach algebra, x∈Ax \in A, and ff is holomorphic in some open set Ω⊂C\Omega \subset \mathcal{C} that contains the range of x^\hat{x}. Prove that there exists y∈Ay \in A such that y^=f∘x^\hat{y} = f \circ \hat{x}, that is, such that h(y)=f(h(x))h(y) = f(h(x)) for every complex homomorphism hh of AA. Prove that yy is uniquely determined by xx and ff if AA is semisimple.

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Problem 3.11.6

Suppose AA and BB are commutative Banach algebras, BB is semisimple, ψ:A→B\psi : A \rightarrow B is a homomorphism whose range is dense in BB, and α:ΔB→ΔA\alpha : \Delta_{B} \rightarrow \Delta_{A} is defined by

(αh)(x)=h(ψ(x))(x∈A,h∈ΔB) (\alpha h)(x) = h(\psi (x)) \quad \left(x \in A, h \in \Delta _{B}\right)

Prove that α\alpha is a homeomorphism of ΔB\Delta_{B} onto a compact subset of ΔA\Delta_{A}. [The fact that ψ(A)\psi (A) is dense in BB implies that α\alpha is one-to-one and that the topology of ΔB\Delta_{B} is the weak topology induced by the Gelfand transforms of the elements ψ(x)\psi (x), for x∈Ax \in A.

Let AA be the disc algebra, let B=C(K)B = C(K), where KK is an arc in the unit disc, and let ψ\psi be the restriction mapping of AA into BB. This example shows that α(ΔB)\alpha \left(\Delta_{B}\right) may be a proper subset of ΔA\Delta_{A}, even if ψ\psi is one-to-one.

Find an example in which ψ(A)=B\psi (A) = B but α(ΔB)≠ΔA\alpha \left(\Delta_{B}\right) \neq \Delta_{A}.

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Problem 3.11.7

In Example 11.13(b)11.13(b) it was asserted that A^≠C(Δ)\hat{A} \neq C(\Delta ). Find several proofs of this.

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Problem 3.11.8

Which properties of Lebesgue measure are used in Example 11.13(f)? Can Lebesgue measure be replaced by any positive measure, without changing any of the results?

Supply the details for the last paragraph in Example 11.13(f).

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Problem 3.11.9

Let C′C^{\prime } be the algebra of all continuously differentiable complex functions on the unit interval [0,1][0,1], with pointwise multiplication, normed by

∥f∥=∥f∥∞+∥f′∥∞ \left\| f\right\| = \left\| f\right\| _{\infty }+\left\| f^{\prime }\right\| _{\infty }
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(a)

Show that C′C^{\prime } is a semisimple commutative Banach algebra. Find its maximal ideal space.

(b)

Fix p,0≤p≤1p, 0 \leq p \leq 1; let JJ be the set of all f∈C′f \in C^{\prime } for which f(p)=f′(p)=0f(p) = f^{\prime }(p) = 0. Show that JJ is a closed ideal in C′C^{\prime } and that C′/JC^{\prime } / J is a two-dimensional algebra which has a one-dimensional radical. (This gives an example of a semisimple algebra with a quotient algebra that is not semisimple). To which of the two algebras described in Exercise 5 of Chapter 10 is C′/JC^{\prime } / J isomorphic?

Problem 3.11.10

Let AA be the disc algebra. Associate to each f∈Af \in A a function f∗∈Af^{*} \in A by the formula

f∗(z)=f(zˉ)‾ f^{*}(z) = \overline{f(\bar{z})}

Then f→f∗f \rightarrow f^{*} is an involution on AA.

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(a)

Does this involution turn AA into a B∗B^{*}-algebra?

(b)

Does σ(.ff∗)\sigma \left(. f f^{*}\right) always lie in the real axis?

(c)

Which complex homomorphisms of AA are positive functionals, with respect to this involution?

(d)

If μ\mu is a positive finite Borel measure on [−1,1][-1,1], then

f→∫−11f(t)dμ(t) f \rightarrow \int _{-1}^{1} f(t) d \mu (t)

is a positive functional on AA. Are there any others?

Problem 3.11.11

Show that commuting idempotents have distance ≥1\geq 1. Explicitly, if x2=xx^{2} = x, y2=y,xy=yxy^{2} = y, x y = y x for some xx and yy in a Banach algebra, then either x=yx = y or ∥x−y∥≥1\left\| x-y\right\| \geq 1. Show that this may fail if xy≠yxx y \neq y x.

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Problem 3.11.12

If xy=yxx y = y x for some xx and yy in a Banach algebra, prove that

ρ(xy)≤ρ(x)ρ(y) and ρ(x+y)≤ρ(x)+ρ(y). \rho (x y) \leq \rho (x) \rho (y) \quad \text{ and } \quad \rho (x+y) \leq \rho (x)+\rho (y).
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Problem 3.11.13

Let tt be a large positive number, and define a norm on φ2\varphi^{2} by

∥w∥=∣w1∣+t∣w2∣ if w=(w1,w2) \left\| w\right\| = \left|w_{1}\right|+t\left|w_{2}\right| \quad \text{ if } w = \left(w_{1}, w_{2}\right)

Let AA be the algebra of all complex 2-by-2 matrices, with the corresponding operator norm:

∥y∥=max⁡{∥y(w)∥:∥w∥=1}(y∈A) \left\| y\right\| = \max \left\{ \left\| y(w)\right\| : \left\| w\right\| = 1\right\} \quad (y \in A)

For y∈Ay \in A, let y∗y^{*} be the conjugate transpose of yy. Consider a fixed x∈Ax \in A, namely,

x=[0t210].  x =\left[\begin{smallmatrix} 0 & t^{2} \\ 1 & 0 \end{smallmatrix}\right] \text{. }

Prove the following statements.

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(a)

∥x(w)∥=t∥w∥\left\| x(w)\right\| = t\left\| w\right\|; hence ∥x∥=t\left\| x\right\| = t.

(b)

σ(x)={t,−t}=σ(x∗)\sigma (x) = \left\{ t,-t\right\} = \sigma \left(x^{*}\right).

(c)

σ(xx∗)={1,t4}=σ(x∗x)\sigma \left(x x^{*}\right) = \left\{ 1, t^{4}\right\} = \sigma \left(x^{*} x\right).

(d)

σ(x+x∗)={1+t2,−1−t2}\sigma \left(x+x^{*}\right) = \left\{ 1+t^{2},-1-t^{2}\right\}.

(e)

Therefore commutativity is required in Theorem 11.23 and in Exercise 12.

(f)

If F(y)F(y) is the sum of the four entries in yy, for y∈Ay \in A, then FF is a positive functional on AA.

(g)

The equality ∥F∥=F(e)\left\| F\right\| = F(e) [see (e) of Theorem 11.31] does not hold, because F(e)=2F(e) = 2 and F(x)=1+t2F(x) = 1+t^{2}, so that ∥F∥>t\left\| F\right\| > t.

(h)

If KK is the set of all positive functionals ff on AA that satisfy f(e)≤1f(e) \leq 1 (as in Theorem 11.33), then KK has many extreme points, although 0 is the only multiplicative linear functional on AA. Commutativity is therefore required in the implication (c)→(a)(c) \rightarrow (a) of Theorem 11.33.

Problem 3.11.14

A complex function ϕ\phi, defined on Rn\mathbb {R}^{n}, is said to be positive-definite if

∑i,j=1rcicˉjϕ(xi−xj)≥0 \sum _{i, j = 1}^{r} c_{i} \bar{c}_{j} \phi \left(x_{i}-x_{j}\right) \geq 0

for every choice of x1,…,xrx_{1}, \ldots , x_{r}, in Rn\mathbb {R}^{n} and for every choice of complex numbers c1,…,crc_{1}, \ldots , c_{r}.

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(a)

Show that ∣ϕ(x)∣≤ϕ(0)\left|\phi (x)\right| \leq \phi (0) for every x∈Rnx \in \mathbb {R}^{n}.

(b)

Show that the Fourier transform of every finite positive Borel measure on Rn\mathbb {R}^{n} is positive-definite.

(c)

Complete the following outline of the converse of (b) (Bochner's theorem): If ϕ\phi is continuous and positive-definite, then ϕ\phi is the Fourier transform of a finite positive Borel measure.

Let AA be the convolution algebra L1(Rn)L^{1}\left(\mathbb {R}^{n}\right), with a unit attached, as described in (d)(d) of Section 10.3 and (e)(e) of Section 11.13. Define f~(x)=f(−x)~\tilde{f}(x) = \tilde{f(-x)}. Show that

f+αδ→f~+αˉδ f+\alpha \delta \rightarrow \tilde{f}+\bar{\alpha } \delta

is an involution on AA and that

f+αδ→∫Rnfϕdmn+αϕ(0) f+\alpha \delta \rightarrow \int _{\mathbb {R}^{n}} f \phi d m_{n}+\alpha \phi (0)

is a positive functional on AA. By Theorem 11.32 and (e) of Section 11.13, there is a positive measure μ\mu on the one-point compactification Δ\Delta of Rn\mathbb {R}^{n}, such that

∫Rnfϕdmn+αϕ(0)=∫Δ(f^+α)dμ \int _{\mathbb {R}^{n}} f \phi d m_{n}+\alpha \phi (0) = \int _{\Delta }(\hat{f}+\alpha ) d \mu

If σ\sigma is the restriction of μ\mu to Rn\mathbb {R}^{n}, it follows that

∫Rnfϕdmn=∫Rnf^dσ \int _{\mathbb {R}^{n}} f \phi d m_{n} = \int _{\mathbb {R}^{n}} \hat{f} d \sigma

for every f∈L1(Rn)f \in L^{1}\left(\mathbb {R}^{n}\right). Hence ϕ=σ^\phi = \hat{\sigma }. (Actually, μ\mu is already concentrated on Rn\mathbb {R}^{n}, so that σ=μ\sigma = \mu).

(d)

Let PP be the set of all continuous positive-definite functions ϕ\phi on Rn\mathbb {R}^{n} that satisfy ϕ(0)≤1\phi (0) \leq 1. Find all extreme points of this convex set.

Problem 3.11.15

Let Δ\Delta be the maximal ideal space of a commutative Banach algebra AA. Call a closed set β⊂Δ\beta \subset \Delta an AA-boundary if the maximum of ∣x^∣\left|\hat{x}\right| on Δ\Delta equals its maximum on β\beta, for every x∈Ax \in A. (Trivially, Δ\Delta is an AA-boundary).

Prove that the intersection ∂A\partial_{A} of all AA-boundaries is an AA-boundary. ∂A\partial_{A} is called the Shilov boundary of AA. The terminology is suggested by the maximum modulus property of holomorphic functions. For instance, when AA is the disc algebra, then ∂A\partial_{A} is the unit circle, which is the topological boundary of Δ\Delta, the closed unit disc.

Outline of proof: Show first that there is an AA-boundary β0\beta_{0} which is minimal in the sense that no proper subset of β0\beta_{0} is an AA-boundary. (Partially order the collection of AA-boundaries by set inclusion, etc). Then pick h0∈β0h_{0} \in \beta_{0}, pick x1,…,xn∈Ax_{1}, \ldots , x_{n} \in A with x^i(h0)=0\hat{x}_{i}\left(h_{0}\right) = 0, and put

V={h∈Δ:∣x^i(h)∣<1 for 1≤i≤n}. V = \left\{ h \in \Delta :\left|\hat{x}_{i}(h)\right| < 1 \text{ for } 1 \leq i \leq n\right\} .

Since β0\beta_{0} is minimal, there exists x∈Ax \in A with ∥x^∥∞=1\left\| \hat{x}\right\|_{\infty } = 1 and ∣x^(h)∣<1\left|\hat{x}(h)\right| < 1 on β0−V\beta_{0}-V. If y=xmy = x^{m} and mm is sufficiently large, then ∣x^iy^∣<1\left|\hat{x}_{i} \hat{y}\right| < 1 on β0\beta_{0}, for all ii. Hence ∥x^iy^∥∞<1\left\| \hat{x}_{i} \hat{y}\right\|_{\infty } < 1. Conclude from this first that ∣y^(h)∣=∥y^∥∞\left|\hat{y}(h)\right| = \left\| \hat{y}\right\|_{\infty } only in VV, hence that VV intersects every AA-boundary β\beta, and finally that h0∈βh_{0} \in \beta. Thus β0⊂β\beta_{0} \subset \beta, and β0=∂A\beta_{0} = \partial_{A}.

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Problem 3.11.16

Suppose AA is a Banach algebra, mm is an integer, m≥2,K<∞m \geq 2, K < \infty, and

∥x∥m≤K∥xm∥ \left\| x\right\| ^{m} \leq K\left\| x^{m}\right\|

for every x∈Ax \in A. Show that there exist constants Kn<∞K_{n} < \infty, for n=1,2,3,…n = 1,2,3, \ldots, such that

∥x∥n≤Kn∥xn∥(x∈A) \left\| x\right\| ^{n} \leq K_{n}\left\| x^{n}\right\| \quad (x \in A)

(This extends Theorem 11.12).

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Problem 3.11.17

Suppose {ωn}(−∞<n<∞)\left\{ \omega_{n}\right\} (-\infty < n < \infty ) are positive numbers such that ω0=1\omega_{0} = 1 and

ωm+n≤ωmωn \omega _{m+n} \leq \omega _{m} \omega _{n}

for all integers mm and nn. Let A=A{ωn}A = A\left\{ \omega_{n}\right\} be the set of all complex functions ff on the integers for which the norm

∥f∥=∑−∞∞∣f(n)∣ωn \left\| f\right\| = \sum _{-\infty }^{\infty }\left|f(n)\right| \omega _{n}

is finite. Define multiplication in AA by

(f∗g)(n)=∑k=−∞∞f(n−k)g(k). (f * g)(n) = \sum _{k = -\infty }^{\infty } f(n-k) g(k).
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(a)

Show that each A{ωn}A\left\{ \omega_{n}\right\} is a commutative Banach algebra.

(b)

Show that R+=lim⁡n→∞(ωn)1/nR_{+} = \lim_{n \rightarrow \infty }\left(\omega_{n}\right)^{1 / n} exists and is finite, by showing that R+=inf⁡n≥0(ωn)1/nR_{+} = \inf_{n \geq 0}\left(\omega_{n}\right)^{1 / n}.

(c)

Show similarly that R−=lim⁡n→∞(ω−n)−1/nR_{-} = \lim_{n \rightarrow \infty }\left(\omega_{-n}\right)^{-1 / n} exists and that R−≤R+R_{-} \leq R_{+}.

(d)

Put Δ={λ∈C:R−≤∣λ∣≤R+}\Delta = \left\{ \lambda \in \mathcal{C}: R_{-} \leq \left|\lambda \right| \leq R_{+}\right\}. Show that Δ\Delta can be identified with the maximal ideal space of A{ωn}A\left\{ \omega_{n}\right\} and that the Gelfand transforms are absolutely convergent Laurent series on Δ\Delta.

(e)

Consider the following choices for {ωn}\left\{ \omega_{n}\right\} :

  1. ωn=1\omega_{n} = 1.

  2. ωn=2n\omega_{n} = 2^{n}.

  3. ωn=2n\omega_{n} = 2^{n} if n≥0,ωn=1n \geq 0, \omega_{n} = 1 if n<0n < 0.

  4. ωn=1+2n2\omega_{n} = 1+2 n^{2}.

  5. ωn=1+2n2\omega_{n} = 1+2 n^{2} if n≥0,ωn=1n \geq 0, \omega_{n} = 1 if n<0n < 0. For which of these is Δ\Delta a circle? For which choices is A{ωn}A\left\{ \omega_{n}\right\} self-adjoint, in the sense that A^\hat{A} is closed under complex conjugation?

(f)

Is A{ωn}A\left\{ \omega_{n}\right\} always semisimple?

(g)

Is there an A{ωn}A\left\{ \omega_{n}\right\}, with Δ\Delta the unit circle, such that A^\hat{A} consists entirely of infinitely differentiable functions?

Problem 3.11.18

Let Δ\Delta be the maximal ideal space of L∞(m)L^{\infty }(m), as in Section 11.13. Show that

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(a)

Δ\Delta has no isolated point, and

(b)

Δ\Delta contains no convergent sequence of distinct points. Hint: If p1,p2,p3,…p_{1}, p_{2}, p_{3}, \ldots, are distinct points in Δ\Delta, none of which is a limit point of the others, and if {wi}\left\{ w_{i}\right\} is any bounded sequence of numbers, then there exist pairwise disjoint open sets ViV_{i} in Δ\Delta such that pi∈Vip_{i} \in V_{i}, and there exists a function φ∈C(Δ)\varphi \in C(\Delta ) such that φ=wi\varphi = w_{i} on ViV_{i}.

Problem 3.11.19

Let L∞(m)L^{\infty }(m) be as above and prove: If fn∈L∞(m)f_{n} \in L^{\infty }(m) and fn→0f_{n} \rightarrow 0 in the weak topology of L∞(m)L^{\infty }(m), then ∫01∣fn∣pdm→0\int_{0}^{1}\left|f_{n}\right|^{p} d m \rightarrow 0 for every p∈(0,∞)p \in (0, \infty ). Show, by constructing an example, that the converse is false.

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Problem 3.11.20

Prove the following partial converse of Theorem 11.31: If FF is a bounded linear functional on a B∗B^{*}-algebra AA, and ∥F∥=F(0)=1\left\| F\right\| = F(0) = 1, then FF is positive.

Suggestion: Choose x∈A,∥x∥≤1x \in A, \left\| x\right\| \leq 1, put F(xx∗)=α+βiF\left(x x^{*}\right) = \alpha +\beta i,

yt=xx∗−(12+it)e y_{t} = x x^{*}-\left(\frac{1}{2}+i t\right) e

for −∞<t<∞-\infty < t < \infty. Use Theorem 11.28 to show that σ(xx∗)⊂[0,1]\sigma \left(x x^{*}\right) \subset [0,1] and that therefore

∣F(yt)∣≤∥yt∥=ρ(yt)≤∣12+it∣ \left|F\left(y_{t}\right)\right| \leq \left\| y_{t}\right\| = \rho \left(y_{t}\right) \leq \left|\frac{1}{2}+i t\right|

Proceed as in Lemma 5.26.

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Problem 3.11.21

In C2\mathbb {C}^{2}, let K1K_{1} consist of all points (eiθ,e−iθ)\left(e^{i \theta }, e^{-i \theta }\right), and let K2K_{2} consist of the points (eiθ,eiθ),0≤θ≤2π\left(e^{i \theta }, e^{i \theta }\right), 0 \leq \theta \leq 2 \pi. Of these circles, show that K1K_{1} is polynomially convex but K2K_{2} is not. How about K3={(cos⁡θ,sin⁡θ):0≤θ≤π}K_{3} = \left\{ (\cos \theta , \sin \theta ): 0 \leq \theta \leq \pi \right\}?

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Problem 3.11.22

Show that a 3-by-3 matrix MM commutes with

[001000000] if and only if M=[axy0zw00a] \left[\begin{smallmatrix} 0 & 0 & 1 \\ 0 & 0 & 0 \\ 0 & 0 & 0 \end{smallmatrix}\right] \text{ if and only if } \quad M =\left[\begin{smallmatrix} a & x & y \\ 0 & z & w \\ 0 & 0 & a \end{smallmatrix}\right]

Deduce from this that centralizers (see Section 11.21) need not be commutative.

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Problem 3.12.1

The completion of an inner product space is a Hilbert space. Make this statement more precise, and prove it. (See the proof of Theorem 12.40 for an application).

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Problem 3.12.2

Suppose NN is a positive integer, α∈C,αN=1\alpha \in \mathcal{C}, \alpha^{N} = 1, and α2≠1\alpha^{2} \neq 1. Prove that every Hilbert space inner product satisfies the identities

(x,y)=1N∑n=1N∥x+αny∥2αn (x, y) = \frac{1}{N} \sum _{n = 1}^{N}\left\| x+\alpha ^{n} y\right\| ^{2} \alpha ^{n}

and

(x,y)=12π∫−ππ∥x+eiθy∥2eiθdθ (x, y) = \frac{1}{2 \pi } \int _{-\pi }^{\pi }\left\| x+e^{i \theta } y\right\| ^{2} e^{i \theta } d \theta

Generalize this: Which functions ff and measures μ\mu on a set Ω\Omega give rise to the identity

(x,y)=∫Ω∥x+f(p)y∥2dμ(p)? (x, y) = \int _{\Omega }\left\| x+f(p) y\right\| ^{2} d \mu (p)?
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Problem 3.12.3
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(a)

Assume xnx_{n} and yny_{n} are in the closed unit ball of HH, and (xn,yn)→1\left(x_{n}, y_{n}\right) \rightarrow 1 as n→∞n \rightarrow \infty. Prove that then ∥xn−yn∥→0\left\| x_{n}-y_{n}\right\| \rightarrow 0.

(b)

Assume xn∈H,xn→xx_{n} \in H, x_{n} \rightarrow x weakly, and ∥xn∥→∥x∥\left\| x_{n}\right\| \rightarrow \left\| x\right\|. Prove that then ∥xn−x∥→0\left\| x_{n}-x\right\| \rightarrow 0.

Problem 3.12.4

Let H∗H^{*} be the dual space of HH; define ψ:H∗→H\psi : H^{*} \rightarrow H by

y∗(x)=(x,ψy∗)(x∈H,y∗∈H∗) y^{*}(x) = \left(x, \psi y^{*}\right) \quad \left(x \in H, y^{*} \in H^{*}\right)

(See Theorem 12.5). Prove that H∗H^{*} is a Hilbert space, relative to the inner product

[x∗,y∗]=(ψy∗,ψx∗) \left[x^{*}, y^{*}\right] = \left(\psi y^{*}, \psi x^{*}\right)

If ϕ:H∗∗→H∗\phi : H^{* *} \rightarrow H^{*} satisfies z∗∗(y∗)=[y∗,ϕz∗∗]z^{* *}\left(y^{*}\right) = \left[y^{*}, \phi z^{* *}\right] for all y∗∈H∗y^{*} \in H^{*} and z∗∗∈H∗∗z^{* *} \in H^{* *}, prove that ψϕ\psi \phi is an isomorphism of H∗∗H^{* *} onto HH whose existence implies that HH is reflexive.

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Problem 3.12.5

Suppose {un}\left\{ u_{n}\right\} is a sequence of unit vectors in HH (that is ∥un∥=1\left\| u_{n}\right\| = 1), and assume that

Γ2=∑i≠j∣(ui,uj)∣2<∞ \Gamma ^{2} = \sum _{i \neq j}\left|\left(u_{i}, u_{j}\right)\right|^{2} < \infty

If {αi}\left\{ \alpha_{i}\right\} is any sequence of scalars, prove that

(1−Γ)∑i=mn∣αi∣2≤∥∑i=mnαiui∥2≤(1+Γ)∑i=mn∣αi∣2 (1-\Gamma ) \sum _{i = m}^{n}\left|\alpha _{i}\right|^{2} \leq \left\| \sum _{i = m}^{n} \alpha _{i} u_{i}\right\| ^{2} \leq (1+\Gamma ) \sum _{i = m}^{n}\left|\alpha _{i}\right|^{2}

and deduce that the following three properties of {αi}\left\{ \alpha_{i}\right\} are equivalent to each other:

?
(a)

∑i=1∞∣αi∣2<∞\sum_{i = 1}^{\infty }\left|\alpha_{i}\right|^{2} < \infty.

(b)

∑i=1∞αiui\sum_{i = 1}^{\infty } \alpha_{i} u_{i} converges, in the norm of HH.

(c)

∑i=1∞αi(ui,y)\sum_{i = 1}^{\infty } \alpha_{i}\left(u_{i}, y\right) converges, for every y∈Hy \in H.

This generalizes Theorem 12.6.

Problem 3.12.6

Suppose EE is a resolution of the identity, as in Section 12.17, and prove that

∣Ex,y(ω)∣2≤Ex,x(ω)Ey,y(ω) \left|E_{x, y}(\omega )\right|^{2} \leq E_{x, x}(\omega ) E_{y, y}(\omega )

for all x∈H,y∈Hx \in H, y \in H, and ω∈M\omega \in \mathfrak {M}.

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Problem 3.12.7

Suppose U∈B(H)U \in \mathscr {B}(H) is unitary, and ε>0\varepsilon > 0. Prove that scalars α0,…,αn\alpha_{0}, \ldots , \alpha_{n} can be chosen so that

∥U−1−α0I−α1U−⋯−αnUn∥<ε \left\| U^{-1}-\alpha _{0} I-\alpha _{1} U-\cdots -\alpha _{n} U^{n}\right\| < \varepsilon

if σ(U)\sigma (U) is a proper subset of the unit circle, but that this norm is never less than 1 if σ(U)\sigma (U) covers the whole circle.

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Problem 3.12.8

Prove Theorem 12.35 with PUP U in place of UPU P.

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Problem 3.12.9

Suppose T=UPT = U P is the polar decomposition of an invertible T∈B(H)T \in \mathscr {B}(H). Prove that TT is normal if and only if UP=PUU P = P U.

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Problem 3.12.10

Prove that every normal invertible T∈B(H)T \in \mathscr {B}(H) is the exponential of some normal S∈B(H)S \in \mathscr {B}(H).

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Problem 3.12.11

Suppose N∈B(H)N \in \mathscr {B}(H) is normal, and T∈B(H)T \in \mathscr {B}(H) is invertible. Prove that TNT−1T N T^{-1} is normal if and only if NN commutes with T∗TT^{*} T.

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Problem 3.12.12
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(a)

Suppose S∈B(H),T∈B(H),SS \in \mathscr {B}(H), T \in \mathscr {B}(H), S and TT are normal, and ST=TSS T = T S. Prove that S+TS+T and STS T are normal.

(b)

If, in addition, S≥0S \geq 0 and T≥0T \geq 0 (see Theorem 12.32), prove that S+T≥0S+T \geq 0 and ST≥0S T \geq 0.

(c)

Show, however, that there exist S≥0S \geq 0 and T≥0T \geq 0 such that STS T is not even normal (of course, then ST≠TSS T \neq T S). In fact, such examples exist if dim⁡H=2\operatorname {dim} H = 2.

Problem 3.12.13

If T∈B(H)T \in \mathscr {B}(H) is normal, show that T∗=UTT^{*} = U T, for some unitary UU. When is UU unique?

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Problem 3.12.14

Assume T∈B(H)T \in \mathscr {B}(H) and T∗TT^{*} T is a compact operator. Show that TT is then compact.

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Problem 3.12.15

Find a noncompact T∈B(H)T \in \mathscr {B}(H) such that T2=0T^{2} = 0. Can such an operator be normal?

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Problem 3.12.16

Suppose T∈B(H)T \in \mathscr {B}(H) is normal, and σ(T)\sigma (T) is a finite set. Deduce as much information about TT from this as you can.

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Problem 3.12.17

Show, under the hypotheses of (d)(d) of Theorem 12.29, that the equation Ty=xT y = x has a solution y∈Hy \in H if and only if

∑i=1∞∣λi∣−2∥xi∥2<∞ \sum _{i = 1}^{\infty }\left|\lambda _{i}\right|^{-2}\left\| x_{i}\right\| ^{2} < \infty

(If λi=0\lambda_{i} = 0 for one ii, then xix_{i} must be 0, for this ii).

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Problem 3.12.18

The spectrum σ(T)\sigma (T) of T∈B(H)T \in \mathscr {B}(H) can be divided into three disjoint pieces:

The point spectrum σp(T)\sigma_{p}(T) consists of all λ∈C\lambda \in \mathbb {C} for which T−λIT-\lambda I is not one-to-one.

The continuous spectrum σc(T)\sigma_{c}(T) consists of all λ∈C\lambda \in \mathbb {C} such that T−λIT-\lambda I is a one-to-one mapping of HH onto a dense proper subspace of HH.

The residual spectrum σr(T)\sigma_{r}(T) consists of all other λ∈σ(T)\lambda \in \sigma (T).

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(a)

Prove that every normal T∈B(H)T \in \mathscr {B}(H) has empty residual spectrum.

(b)

Prove that the point spectrum of a normal T∈B(H)T \in \mathscr {B}(H) is at most countable, if HH is separable.

(c)

Let SRS_{R} and SLS_{L} be the right and left shifts (as defined in Exercise 2 of Chapter 10), acting on the Hilbert space ℓ2\ell^{2}.

Prove that (SR)∗=SL\left(S_{R}\right)^{*} = S_{L} and that

σp(SL)=σr(SR)={λ:∣λ∣<1}σc(SL)=σc(SR)={λ:∣λ∣=1}σr(SL)=σp(SR)=∅ \begin{aligned} & \sigma _{p}\left(S_{L}\right) = \sigma _{r}\left(S_{R}\right) = \left\{ \lambda :\left|\lambda \right| < 1\right\} \\ & \sigma _{c}\left(S_{L}\right) = \sigma _{c}\left(S_{R}\right) = \left\{ \lambda :\left|\lambda \right| = 1\right\} \\ & \sigma _{r}\left(S_{L}\right) = \sigma _{p}\left(S_{R}\right) = \varnothing \end{aligned}
Problem 3.12.19

Let SRS_{R} and SLS_{L} be as above. Prove that neither SRS_{R} nor SLS_{L} has polar decompositions UPU P, with UU unitary and P≥0P \geq 0.

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Problem 3.12.20

Let μ\mu be a positive measure on a measure space Ω\Omega, let H=L2(μ)H = L^{2}(\mu ), with the usual inner product

(f,g)=∫Ωfgˉdμ (f, g) = \int _{\Omega } f \bar{g} d \mu

For ϕ∈L∞(μ)\phi \in L^{\infty }(\mu ), define the multiplication operator MϕM_{\phi } by Mϕ(f)=ϕfM_{\phi }(f) = \phi f. Then Mϕ∈BB(H)M_{\phi } \in \mathscr {B B}(H).

Under what conditions on ϕ\phi does MϕM_{\phi } have eigenvalues? Give an example in which σ(Mϕ)=σc(Mϕ)\sigma \left(M_{\phi }\right) = \sigma_{c}\left(M_{\phi }\right). Show that every MϕM_{\phi } is normal. What is the relation between σ(Mϕ)\sigma \left(M_{\phi }\right) and the essential range of ϕ\phi? Show that ϕ→Mϕ\phi \rightarrow M_{\phi } is an isometric *-isomorphism of L∞(μ)L^{\infty }(\mu ) onto a closed subalgebra AA of B(H)\mathscr {B}(H). (Certain pathological measures μ\mu have to be excluded in order to make this last statement correct). Is AA a maximal commutative sub-algebra of B(H)\mathscr {B}(H)? Hint: If T∈B(H)T \in \mathscr {B}(H) and TMϕ=MϕTT M_{\phi } = M_{\phi } T for all ϕ∈L∞(μ)\phi \in L^{\infty }(\mu ), and if μ(Ω)<∞\mu (\Omega ) < \infty, show that TT is a multiplication by T(1)T(1) and hence that T∈AT \in A.

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Problem 3.12.21

Suppose T∈B(H)T \in \mathscr {B}(H) is normal, AA is the closed subalgebra of B(H)\mathscr {B}(H) generated by II, TT, and T∗T^{*}, and TT can be approximated, in the norm topology of B(H)\mathscr {B}(H), by finite linear combinations of projections that belong to AA.

Under what (necessary and sufficient) conditions on σ(T)\sigma (T) does this happen?

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Problem 3.12.22

Does every normal T∈B(H)T \in \mathscr {B}(H) have a square root in B(H)\mathscr {B}(H)? What can you say about the cardinality of the set of all square roots of TT? Can it happen that two square roots of the same TT do not commute? Can this happen when T=IT = I?

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Problem 3.12.23

Show that the Fourier transform f→f^f \rightarrow \hat{f} is a unitary operator on L2(Rn)L^{2}\left(\mathbb {R}^{n}\right). What is its spectrum? Suggestion: When n=1n = 1, compute the Fourier transforms of

exp⁡(12x2)(ddx)mexp⁡(−x2)(m=0,1,2,…) \exp \left(\frac{1}{2} x^{2}\right)\left(\frac{d}{d x}\right)^{m} \exp \left(-x^{2}\right) \quad (m = 0,1,2, \ldots )
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Problem 3.12.24

Show that any two infinite-dimensional separable Hilbert spaces are isometrically isomorphic (via countable orthonormal bases; see [23]). Show that the space HH in Theorem 12.38 is separable. Show that the answer to the question that precedes Theorem 12.38 is therefore negative for every infinite-dimensional HH, separable or not.

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Problem 3.12.25

Suppose T∈B(H)T \in \mathscr {B}(H) is normal, ff is a bounded Borel function on σ(T)\sigma (T), and S=f(T)S = f(T). If ETE_{T} and ESE_{S} are the spectral decompositions of TT and SS, respectively, prove that

ES(ω)=ET(f−1(ω)) E_{S}(\omega ) = E_{T}\left(f^{-1}(\omega )\right)

for every Borel set ω⊂σ(S)\omega \subset \sigma (S).

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Problem 3.12.26

If S∈B(H)S \in \mathscr {B}(H) and T∈B(H)T \in \mathscr {B}(H), the notation S≥TS \geq T means that S−T≥0S-T \geq 0, that is, that

(Sx,x)≥(Tx,x) (S x, x) \geq (T x, x)

for all x∈Hx \in H. Prove the equivalence of the following four properties of a pair of self-adjoint projections PP and QQ :

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(a)

P≥QP \geq Q.

(b)

R(P)⊃R(Q)\mathscr {R}(P) \supset \mathscr {R}(Q).

(c)

PQ=QP Q = Q.

(d)

QP=QQ P = Q.

If EE is a resolution of the identity, it follows that E(ω′)≥E(ω′′)E\left(\omega^{\prime }\right) \geq E\left(\omega^{\prime \prime }\right) if ω′⊃ω′′\omega^{\prime } \supset \omega^{\prime \prime }.

Problem 3.12.27

Suppose * is an involution in a complex algebra A,qA, q is an invertible element of AA such that q∗=qq^{*} = q and x∗x^{*} is defined by

x#=q−1x∗q x^{\# } = q^{-1} x^{*} q

for every x∈Ax \in A. Show that ∗{ }^{*} is an involution in AA.

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Problem 3.12.28

Let AA be the algebra of all complex 4 -by-4 matrices. If M=(mij)∈AM = \left(m_{i j}\right) \in A, let M∗M^{*} be the conjugate transpose of M:mij∗=mji‾M: m_{i j}^{*} = \overline{m_{j i}}. Put

Q=[0001001001001000]S=[0000100000000000]T=[0000000000000001] Q =\left[\begin{smallmatrix} 0 & 0 & 0 & 1 \\ 0 & 0 & 1 & 0 \\ 0 & 1 & 0 & 0 \\ 1 & 0 & 0 & 0 \end{smallmatrix}\right] \quad S =\left[\begin{smallmatrix} 0 & 0 & 0 & 0 \\ 1 & 0 & 0 & 0 \\ 0 & 0 & 0 & 0 \\ 0 & 0 & 0 & 0 \end{smallmatrix}\right] \quad T =\left[\begin{smallmatrix} 0 & 0 & 0 & 0 \\ 0 & 0 & 0 & 0 \\ 0 & 0 & 0 & 0 \\ 0 & 0 & 0 & 1 \end{smallmatrix}\right]

As in Exercise 27, define

M#=Q−1M∗Q(M∈A). M^{\# } = Q^{-1} M^{*} Q \quad (M \in A).
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(a)

Show that SS and TT are normal, with respect to the involution #{ }^{\# }, that ST=TSS T = T S, but that ST#≠T#SS T^{\# } \neq T^{\# } S.

(b)

Show that S+TS+T is not #{ }^{\# }-normal.

(c)

Compare ∥SS#∥\left\| S S^{\# }\right\| with ∥S∥2\left\| S\right\|^{2}.

(d)

Compute the spectral radius ρ(S+S#)\rho \left(S+S^{\# }\right); show that it is different from ∥S+S#∥\left\| S+S^{\# }\right\|

(e)

Define V=(vij)∈AV = \left(v_{i j}\right) \in A so that v12=v24=i,v31=v43=−i,vij=0v_{12} = v_{24} = i, v_{31} = v_{43} = -i, v_{i j} = 0 otherwise. Compute σ(VV#)\sigma \left(V V^{\# }\right); it does not lie in [0,∞)[0, \infty ).

Part (a) shows that Theorem 12.16 fails for some involutions. Part (b) does the same for part (a) of Exercise 12; (c), (d), and (e) show that various parts of Theorem 11.28 fail for the involution #\#.

Problem 3.12.29

Let XX be the vector space of all trigonometric polynomials on the real line: these are functions of the form

f(t)=c1eis1t+⋯+cneisnt f(t) = c_{1} e^{i s_{1} t}+\cdots +c_{n} e^{i s_{n} t}

where sk∈Rs_{k} \in R and ck∈Cc_{k} \in \mathscr {C}, for 1≤k≤n1 \leq k \leq n. Show that

(f,g)=lim⁡A→∞12A∫−AAf(t)g(t)‾dt (f, g) = \lim _{A \rightarrow \infty } \frac{1}{2 A} \int _{-A}^{A} f(t) \overline{g(t)} d t

exists and defines an inner product on XX, that

∥f∥2=(f,f)=∣c1∣2+⋯+∣cn∣2 \left\| f\right\| ^{2} = (f, f) = \left|c_{1}\right|^{2}+\cdots +\left|c_{n}\right|^{2}

and that the completion of XX is a nonseparable Hilbert space HH. Show that HH contains all uniform limits of trigonometric polynomials; these are the so-called " almost-periodic" functions on RR.

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Problem 3.12.30

Let HwH_{w} be an infinite-dimensional Hilbert space, with its weak topology. Prove that the inner product is a separately continuous function on Hw×HwH_{w} \times H_{w} which is not jointly continuous.

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Problem 3.12.31

Assume Tn∈B(H)T_{n} \in \mathscr {B}(H) for n=1,2,3,…n = 1,2,3, \ldots, and

lim⁡n→∞∥Tnx∥=0 \lim _{n \rightarrow \infty }\left\| T_{n} x\right\| = 0

for every x∈Hx \in H. Does it follow that

lim⁡n→∞∥Tn∗x∥=0 \lim _{n \rightarrow \infty }\left\| T_{n}^{*} x\right\| = 0

for every x∈Hx \in H?

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Problem 3.12.32

Let XX be a uniformly convex Banach space. This means, by definition, that the assumptions

∥xn∥≤1,∥yn∥≤1,∥xn+yn∥→2 \left\| x_{n}\right\| \leq 1, \quad \left\| y_{n}\right\| \leq 1, \quad \left\| x_{n}+y_{n}\right\| \rightarrow 2

imply that ∥xn−yn∥→0\left\| x_{n}-y_{n}\right\| \rightarrow 0. For example, every Hilbert space is uniformly convex.

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(a)

Prove that Theorem 12.3 holds in XX.

(b)

Assume ∥xn∥=1,Λ∈X∗,∥Λ∥=1\left\| x_{n}\right\| = 1, \Lambda \in X^{*}, \left\| \Lambda \right\| = 1, and Λxn→1\Lambda x_{n} \rightarrow 1. Prove that {xn}\left\{ x_{n}\right\} is a Cauchy sequence (in the norm-topology of XX). Hint: Consider Λ(xn+xm)\Lambda \left(x_{n}+x_{m}\right).

(c)

Show that the preceding four properties fail in certain Banach spaces (for instance, in L1L^{1}, or in CC). These are therefore not uniformly convex.

(d)

Assume that xn→xx_{n} \rightarrow x weakly and ∥xn∥→∥x∥\left\| x_{n}\right\| \rightarrow \left\| x\right\|. Prove that ∥xn−x∥→0\left\| x_{n}-x\right\| \rightarrow 0. Hint: Reduce to the case ∥xn∥=1\left\| x_{n}\right\| = 1. Consider Λ(xn+x)\Lambda \left(x_{n}+x\right), for a suitable Λ\Lambda.

Problem 3.12.33

Prove the assertion about the case dim⁡H<∞\operatorname {dim} H < \infty made in the remark that follows Theorem 12.35.

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Problem 3.12.34

Find an operator T∈B(H)T \in \mathscr {B}(H), with σ(T)={1}\sigma (T) = \left\{ 1\right\}, which is neither unitary nor selfadjoint.

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Problem 3.12.35

If SS is self-adjoint and U=exp⁡(iS)U = \exp (i S), show that UU is unitary. Deduce from this, and from the fact that σ(U)\sigma (U) lies on the unit circle, that σ(S)\sigma (S) lies on the real axis.

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Problem 3.12.36

Show that R(T∗)=R(T)\mathscr {R}\left(T^{*}\right) = \mathscr {R}(T) if T∈B(H)T \in \mathscr {B}(H) is normal. Hint: Using Theorem 12.35, T=T∗U2T = T^{*} U^{2}.

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Problem 3.12.37

Define TT on H=L2(0,1)H = L^{2}(0,1) by (Tf)(x)=xf(x)(T f)(x) = x f(x). Show that TT is self-adjoint and that R(T)\mathscr {R}(T) is a dense proper subspace of HH.

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Problem 3.12.38

Find a nonnormal T∈B(H)T \in \mathscr {B}(H) such that

∥T∥=sup⁡{∣(Tx,x)∣:x∈H,∥x∥≤1} \left\| T\right\| = \sup \left\{ \left|(T x, x)\right|: x \in H, \left\| x\right\| \leq 1\right\}

(This shows that Theorem 12.25 has no converse).

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Problem 3.12.39

Show that TT and T∗T^{*} can have the same null space without being normal.

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Problem 3.12.40

Let DD be a circular annulus in C\mathbb {C} with center at 0. Define HH and M∈B(H)M \in \mathscr {B}(H) as in Theorem 12.38. Prove that MM has no square root in B(H)\mathscr {B}(H) by completing the following outline: Assume Q∈B(H),Q2=MQ \in \mathscr {B}(H), Q^{2} = M. Put u(z)=1,v(z)=z,h=Quu(z) = 1, v(z) = z, h = Q u. Since QM=MQQ M = M Q, induction shows that Qvn=hvnQ v^{n} = h v^{n} for all integers nn. It follows from the Laurent series expansion that Qf=hfQ f = h f for every f∈Hf \in H. This leads to h2=vh^{2} = v, i.e., h2(z)=zh^{2}(z) = z for all z∈Dz \in D, an impossibility.

Find the adjoint M∗M^{*} of MM. (Use Laurent series).

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Problem 3.13.1

The associative law (T1T2)T3=T1(T2T3)\left(T_{1} T_{2}\right) T_{3} = T_{1}\left(T_{2} T_{3}\right) has been used freely throughout this chapter. Prove it. Prove also that T1⊂T2T_{1} \subset T_{2} implies ST1⊂ST2S T_{1} \subset S T_{2} and T1S⊂T2ST_{1} S \subset T_{2} S.

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Problem 3.13.2

Let TT be a densely defined operator in HH. Prove that TT has a closed extension if and only if D(T∗)\mathscr {D}\left(T^{*}\right) is dense in HH. In that case, prove that T∗∗T^{* *} is an extension of TT.

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Problem 3.13.3

By Theorem 13.8,D(T∗)={0}13.8, \mathscr {D}\left(T^{*}\right) = \left\{ 0\right\} for a densely defined operator TT in HH if and only if G(T)\mathscr {G}(T) is dense in H×HH \times H. Show that this can actually happen.

Suggestion: Let {en:n=1,2,3,…}\left\{ e_{n}: n = 1,2,3, \ldots \right\} be an orthonormal basis of HH; let {xn}\left\{ x_{n}\right\} be a dense subset of HH; define Ten=xnT e_{n} = x_{n}; and extend TT linearly to D(T)\mathscr {D}(T), the set of all finite linear combinations of the basis vectors ene_{n}. Show that the graph of this TT is dense in H×HH \times H.

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Problem 3.13.4

Suppose TT is a densely defined, closed operator in HH, and T∗T⊂TT∗T^{*} T \subset T T^{*}. Does it follow that TT is normal?

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Problem 3.13.5

Suppose TT is a densely defined operator in HH, and (Tx,x)=0(T x, x) = 0 for every x∈D(T)x \in \mathscr {D}(T). Does it follow that Tx=0T x = 0 for every x∈D(T)x \in \mathscr {D}(T)?

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Problem 3.13.6

If TT is an operator in HH, define

N(T)={x∈D(T):Tx=0}. \mathcal{N}(T) = \left\{ x \in \mathscr {D}(T): T x = 0\right\} .

If D(T)\mathscr {D}(T) is dense, prove that

N(T∗)=R(T)⊥∩D(T∗). \mathcal{N}\left(T^{*}\right) = \mathscr {R}(T)^{\perp } \cap \mathscr {D}\left(T^{*}\right).

If TT is also closed, prove that

N(T)=R(T∗)⊥∩D(T) \mathscr {N}(T) = \mathscr {R}\left(T^{*}\right)^{\perp } \cap \mathscr {D}(T)

This generalizes Theorem 12.10.

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Problem 3.13.7

Consider the following three boundary value problems. The differential equation is

f′′−f=g f^{\prime \prime }-f = g

where g∈L2([0,1])g \in L^{2}([0,1]) is given. The choices of boundary conditions are

(i) f(0)=f(1)=0f(0) = f(1) = 0.

(ii) f′(0)=f′(1)=0f^{\prime }(0) = f^{\prime }(1) = 0.

(iii) f(0)=f(1)f(0) = f(1) and f′(0)=f′(1)f^{\prime }(0) = f^{\prime }(1).

Show that each of these problems has a unique solution ff such that f′f^{\prime } is absolutely continuous and f′′∈L2([0,1])f^{\prime \prime } \in L^{2}([0,1]). Hint: Combine Example 13.4 with Theorem 13.13.

Do this also by solving the problems explicitly.

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Problem 3.13.8
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(a)

Prove the self-adjointness of the operator TT in L2(R)L^{2}(R), defined by Tf=if′T f = i f^{\prime }, with D(T)\mathscr {D}(T) consisting of all absolutely continuous f∈L2f \in L^{2} such that f′∈L2f^{\prime } \in L^{2}.

Hint: You may need to know that f(t)→0f(t) \rightarrow 0 as t→±∞t \rightarrow \pm \infty for every f∈D(T)f \in \mathscr {D}(T). Prove this. Or prove more, namely, that every f∈D(T)f \in \mathscr {D}(T) is the Fourier transform of an L1L^{1}-function.

(b)

Fix g∈L2(R)g \in L^{2}(R). Use Theorem 13.13 to prove that the equation

f′′−f=g f^{\prime \prime }-f = g

has a unique absolutely continuous solution f∈L2f \in L^{2}, which has f′∈L2f^{\prime } \in L^{2}, f′′∈L2f^{\prime \prime } \in L^{2}, and f′f^{\prime } absolutely continuous.

Prove also, by direct calculation, that

f(x)=−12∫−∞xet−xg(t)dt−12∫x∞ex−tg(t)dt f(x) = -\frac{1}{2} \int _{-\infty }^{x} e^{t-x} g(t) d t-\frac{1}{2} \int _{x}^{\infty } e^{x-t} g(t) d t

This solution can also be found by means of Fourier transforms.

Problem 3.13.9

Let H2H^{2} be the space of all holomorphic functions f(z)=∑cnznf(z) = \sum c_{n} z^{n} in the open unit disc that satisfy

∥f∥2=∑n=0∞∣cn∣2<∞ \left\| f\right\| ^{2} = \sum _{n = 0}^{\infty }\left|c_{n}\right|^{2} < \infty

Show that H2H^{2} is a Hilbert space which is isomorphic to ℓ2\ell^{2} via the one-to-one correspondence f↔{cn}f \leftrightarrow \left\{ c_{n}\right\}.

Define V∈B(H2)V \in \mathscr {B}\left(H^{2}\right) by (Vf)(z)=zf(z)(V f)(z) = z f(z). Show that VV is the Cayley transform of the symmetric operator TT in H2H^{2}, given by

(Tf)(z)=i1+z1−zf(z) (T f)(z) = i \frac{1+z}{1-z} f(z)

Find the ranges of T+iIT+i I and of T−iIT-i I; show that one is H2H^{2} and one has codimension 1. (Compare with Example 13.21).

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Problem 3.13.10

With H2H^{2} as in Exercise 9, define VV now by

(Vf)(z)=zf(z2) (V f)(z) = z f\left(z^{2}\right)

Show that VV is an isometry which is the Cayley transform of a closed symmetric operator TT in H2H^{2}, whose deficiency indices are 0 and ∞\infty.

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Problem 3.13.11

Prove part (c) of Lemma 13.18.

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Problem 3.13.12
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(a)

In the context of Theorem 13.24, how are the operators Ψ(f+g)\Psi (f+g) and Ψ(f)+Ψ(g)\Psi (f)+\Psi (g) related?

(b)

If ff and gg are measurable and gg is bounded, prove that Ψ(g)\Psi (g) maps Df\mathscr {D}_{f} into Df\mathscr {D}_{f}.

(c)

Prove that Ψ(f)=Ψ(g)\Psi (f) = \Psi (g) if and only if f=gf = g a.e. [E], that is, if and only if

E({p:f(p)≠g(p)})=0 E(\left\{ p: f(p) \neq g(p)\right\} ) = 0
Problem 3.13.13

Is the operator CC that occurs in the proof of Theorem 13.33 normal?

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Problem 3.13.14

Prove that every normal operator NN in HH, bounded or not, has a polar decomposition

N=UP=PU N = U P = P U

where UU is unitary, PP is self-adjoint, P≥0P \geq 0. Moreover, D(P)=D(N)\mathscr {D}(P) = \mathscr {D}(N).

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Problem 3.13.15

Prove the following extension of Theorem 12.16: If T∈B(H)T \in \mathscr {B}(H), if MM and NN are normal operators in HH, and if TM⊂NTT M \subset N T, then also TM∗⊂N∗TT M^{*} \subset N^{*} T.

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Problem 3.13.16

Suppose TT is a closed operator in H,D(T)=D(T∗)H, \mathscr {D}(T) = \mathscr {D}\left(T^{*}\right), and ∥Tx∥=∥T∗x∥\left\| T x\right\| = \left\| T^{*} x\right\| for every x∈D(T)x \in \mathscr {D}(T). Prove that TT is normal. Hint: Begin by proving that

(Tx,Ty)=(T∗x,T∗y)(x∈D(T),y∈D(T)) (T x, T y) = \left(T^{*} x, T^{*} y\right) \quad (x \in \mathscr {D}(T), y \in \mathscr {D}(T))
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Problem 3.13.17

Prove that the spectrum σ(T)\sigma (T) of any operator TT in HH is a closed subset of CC. (See Definition 13.26). Hint: If ST⊂TS=IS T \subset T S = I, and S∈B(H)S \in \mathscr {B}(H), then S(I−λS)−1S(I-\lambda S)^{-1} is a bounded inverse of T−MT-M, for small ∣λ∣\left|\lambda \right|.

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Problem 3.13.18

Put ϕ(t)=exp⁡(−t2)\phi (t) = \exp \left(-t^{2}\right). Define S∈B(L2)S \in \mathscr {B}\left(L^{2}\right), where L2=L2(R)L^{2} = L^{2}(R), by

(Sf)(t)=ϕ(t)f(t−1)(f∈L2) (S f)(t) = \phi (t) f(t-1) \quad \left(f \in L^{2}\right)

so that (S2f)(t)=ϕ(t)ϕ(t−1)f(t−2)\left(S^{2} f\right)(t) = \phi (t) \phi (t-1) f(t-2), etc. (Note that SS is presented in its polar decomposition S=PUS = P U).

Find S∗S^{*}. Compute that

∥Sn∥=exp⁡{−(n−1)n(n+1)12}(n=1,2,3,…) \left\| S^{n}\right\| = \exp \left\{ -\frac{(n-1) n(n+1)}{12}\right\} \quad (n = 1,2,3, \ldots )

Conclude that SS is one-to-one, that R(S)\mathscr {R}(S) is dense in L2L^{2}, and that σ(S)={0}\sigma (S) = \left\{ 0\right\}. Define TT, with domain D(T)=R(S)\mathscr {D}(T) = \mathscr {R}(S), by

TSf=f(f∈L2) T S f = f \quad \left(f \in L^{2}\right)

Prove that σ(T)\sigma (T) is empty.

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Problem 3.13.19

Let T1,T2,T3T_{1}, T_{2}, T_{3} be as in Example 13.4, put

D(T4)={f∈D(T1):f(0)=0} \mathscr {D}\left(T_{4}\right) = \left\{ f \in \mathscr {D}\left(T_{1}\right): f(0) = 0\right\}

and define T4f=if′T_{4} f = i f^{\prime } for all f∈D(T4)f \in \mathscr {D}\left(T_{4}\right).

Prove the following assertions:

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(a)

Every λ∈C\lambda \in \mathbb {C} is in the point spectrum of T1T_{1}.

(b)

σ(T2)\sigma \left(T_{2}\right) consists of the numbers 2πn2 \pi n, where nn runs through the integers; each of these is in the point spectrum of T2T_{2}.

(c)

R(T3−λI)\mathscr {R}\left(T_{3}-\lambda I\right) has codimension 1 for every λ∈C\lambda \in \mathscr {C}. Hence σ(T3)=C\sigma \left(T_{3}\right) = \mathscr {C}. The point spectrum of T3T_{3} is empty.

(d)

σ(T4)\sigma \left(T_{4}\right) is empty.

Hint: Study the differential equation if′−λf=gi f^{\prime }-\lambda f = g. This illustrates how sensitive the spectrum of a differential operator is to its domain (in this case, to the boundary conditions that are imposed).

Problem 3.13.20

Show that every nonempty closed subset of CC is the spectrum of some normal operator in HH (if dim⁡H=∞\operatorname {dim} H = \infty).

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Problem 3.13.21

Define Q(t)∈B(L2)Q(t) \in \mathscr {B}\left(L^{2}\right), where L2=L2(R)L^{2} = L^{2}(R), by

(Q(t)f)(s)=f(s+t) (Q(t) f)(s) = f(s+t)
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(a)

Prove that each Q(t)Q(t) is unitary.

(b)

Prove that {Q(t)}\left\{ Q(t)\right\} satisfies the conditions stated in Definition 13.34.

(c)

If AA is the infinitesimal generator of {Q(t)}\left\{ Q(t)\right\}, prove that f∈D(A)f \in \mathscr {D}(A) if and only if ∫∣yf^(y)∣2dy<∞\int \left|y \hat{f}(y)\right|^{2} d y < \infty (where f^\hat{f} is the Fourier transform of ff) and that Af=f′A f = f^{\prime } for all f∈D(A)f \in \mathscr {D}(A).

(d)

Prove that σ(A)\sigma (A) is the imaginary axis. More precisely, show that A−λIA-\lambda I is one-to-one for every λ∈C\lambda \in \mathscr {C}, that λ\lambda lies in the resolvent set of AA if and only if λ\lambda is not pure imaginary, and that the range of A−λIA-\lambda I is a proper dense subspace of L2L^{2} if λ\lambda is pure imaginary.

Hint: g∈R(A−λI)g \in \mathscr {R}(A-\lambda I) if and only if g∈L2g \in L^{2} and also g^(y)/(iy−λ)\hat{g}(y) /(i y-\lambda ) is in L2L^{2}.

Problem 3.13.22

If f∈H2f \in H^{2} (see Exercise 9) and f(z)=∑cnznf(z) = \sum c_{n} z^{n}, define

[Q(t)f](z)=∑n=0∞(n+1)−tcnzn(0≤t<∞) [Q(t) f](z) = \sum _{n = 0}^{\infty }(n+1)^{-t} c_{n} z^{n} \quad (0 \leq t < \infty )

Show that each Q(t)Q(t) is self-adjoint (and positive). Find the infinitesimal generator AA of the semigroup {Q(t)}\left\{ Q(t)\right\}. Is AA self-adjoint? Show that AA has pure point spectrum, at the points log⁡1,log⁡12,log⁡13,…\log 1, \log \frac{1}{2}, \log \frac{1}{3}, \ldots.

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Problem 3.13.23

For f∈L2(R),x∈R,0<y<∞f \in L^{2}(R), x \in R, 0 < y < \infty, define

[Q(y)f](x)=1π∫−∞∞y(x−ξ)2+y2f(ξ)dξ [Q(y) f](x) = \frac{1}{\pi } \int _{-\infty }^{\infty } \frac{y}{(x-\xi )^{2}+y^{2}} f(\xi ) d \xi

and put Q(0)f=fQ(0) f = f. Show that {Q(y):0≤y<∞}\left\{ Q(y): 0 \leq y < \infty \right\} satisfies the conditions imposed in Definition 13.34 and that ∥Q(y)∥=1\left\| Q(y)\right\| = 1 for all yy.

Find the domain of the infinitesimal generator AA of {Q(y)}\left\{ Q(y)\right\}, and prove that

Af=−Hf′ A f = -H f^{\prime }

where HH is the Hilbert transform (Chapter 7, Exercise 24). Prove that −A-A is positive and self-adjoint.

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Remark.
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The integral represents a harmonic function in the upper half-plane, with boundary values ff. The semigroup property of {Q(y)}\left\{ Q(y)\right\} can be deduced from this, as well as from a look at the Fourier transforms of the functions Q(y)fQ(y) f.

Problem 3.13.24

Show that every isometric operator in HH has a closed isometric extension.

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Problem 3.13.25

On the other hand, show that some symmetric operators in HH have no closed symmetric extension by completing the following outline.

Let {e1,e2,e3,…}\left\{ e_{1}, e_{2}, e_{3}, \ldots \right\} be an orthonormal basis of HH. Let XX be the set of all finite sums ∑αiei\sum \alpha_{i} e_{i}, subject to the condition ∑αi=0\sum \alpha_{i} = 0. Prove that XX is a dense subspace of HH. Define U∈B(H)U \in \mathscr {B}(H) by

U(∑1∞αiei)=α1e1−∑2∞αiei U\left(\sum _{1}^{\infty } \alpha _{i} e_{i}\right) = \alpha _{1} e_{1}-\sum _{2}^{\infty } \alpha _{i} e_{i}

and let VV be the restriction of UU to XX. Then VV is an isometry, with D(V)=X\mathscr {D}(V) = X, and I−VI-V is one-to-one on XX. Hence VV is the Cayley transform of a symmetric operator TT. Any closed symmetric extension of TT would correspond to a closed isometric extension V1V_{1} of VV, with I−V1I-V_{1} one-to-one. But D(V)\mathscr {D}(V) is dense in HH; hence VV has only one closed isometric extension, namely UU, and I−UI-U is not one-to-one.

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