Multiplication-operator models, unitary equivalence and multiplicity

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Under what conditions on the complex numbers {λk}k=1n\left\{ \lambda_{k}\right\}_{k = 1}^{n} does the diagonal operator A(x1,…,xn)=(λ1x1,…,λnxn)A\left(x_{1}, \ldots , x_{n}\right) = \left(\lambda_{1} x_{1}, \ldots , \lambda_{n} x_{n}\right) in l2(n)l_{2}(n) have a cyclic vector? State the condition for the existence of a cyclic vector in terms of the characteristic polynomial of an arbitrary operator A:Cn→CnA: \mathbb {C}^{n} \rightarrow \mathbb {C}^{n}.

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Under what conditions on the bounded sequence of complex numbers {λk}k=1∞\left\{ \lambda_{k}\right\}_{k = 1}^{\infty } does the diagonal operator

A(x1,x2,…)=(λ1x1,λ2x2,…) A\left(x_{1}, x_{2}, \ldots \right) = \left(\lambda _{1} x_{1}, \lambda _{2} x_{2}, \ldots \right)

in l2l_{2} have a cyclic vector?

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Prove that the operator (Ax)(t)=a(t)x(t)(A x)(t) = a(t) x(t) of multiplication by a continuous strictly monotone function a(t)a(t) has a cyclic vector:

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(a)

in the space C[0,1]C[0,1];

(b)

in the space L2[0,1]L_{2}[0,1].

Prove that the operator (Ax)(t)=a(t)x(t)(A x)(t) = a(t) x(t) of multiplication by a continuous non-monotone function a(t)a(t), acting in the space C[0,1]C[0,1], does not have a cyclic vector.

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Reduce the operator

(Ax)(t)=∫01min⁡(t,s)x(s)ds (A x)(t) = \int _{0}^{1} \min (t, s) x(s) d s

acting in the space L2[0,1]L_{2}[0,1], to the form of multiplication by the independent variable (find an isometric isomorphism and measure μ\mu).

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Let AA be a linear self-adjoint operator in a finite-dimensional space. Find a unitary operator UU, a measure μ\mu, and a function aa such that UAU−1=BU A U^{-1} = B, where B∈B(L2([0,1],μ)),(Bx)(t)=a(t)x(t)B \in \mathcal{B}\left(L_{2}([0,1], \mu )\right),(B x)(t) = a(t) x(t).

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In the space l2(Z)l_{2}(\mathbb {Z}), consider the operator A=Tr+TlA = T_{r}+T_{l}, where Tr,TlT_{r}, T_{l} are the operators of right and left shift, respectively. Find a unitary operator UU and a function aa such that UAU−1=BU A U^{-1} = B, where B∈B(L2[−π,π]),Bx(t)=a(t)x(t)B \in \mathcal{B}\left(L_{2}[-\pi , \pi ]\right), B x(t) = a(t) x(t).

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Prove that every normal operator AA in a Hilbert space HH is unitarily equivalent to an operator of multiplication by some function aa in the space L2([0,1]2,μ)L_{2}\left([0,1]^{2}, \mu \right) with some measure μ\mu.

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Let μ\mu and vv be two nonnegative Borel measures on the segment [0,1][0,1], and let TμT_{\mu } and TvT_{v} be the operators of multiplication x(t)↦tx(t)x(t) \mapsto t x(t), acting in the spaces L2([0,1],μ)L_{2}([0,1], \mu ) and L2([0,1],v)L_{2}([0,1], v) respectively. These operators are unitarily equivalent if and only if the measures μ\mu and vv are equivalent. 1

Footnotes

  1. That is, do not exclude each other. ↩

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Using Theorem 13.8, prove Theorem 13.9.

Theorem 13.8: For every self-adjoint operator AA in a separable Hilbert space HH there exist a decomposition H=⋃k∈KHkH = \bigcup_{k \in \mathcal{K}} H_{k}, where K=N∪{∞}\mathcal{K} = \mathbb {N} \cup \left\{ \infty \right\} (some of the subspaces may be zero), a family of pairwise singular Borel measures {μk}k∈K\left\{ \mu_{k}\right\}_{k \in \mathcal{K}} with supports supp⁡μk=:Xk⊂σ(A)\operatorname {supp} \mu_{k} =: X_{k} \subset \sigma (A) (some of the sets XkX_{k} may be empty), and a unitary isomorphism

U:H=⨁k∈K⊥Hk→⨁k∈K⊥(L2(Xk,μk))k, U: H = \bigoplus _{k \in \mathcal{K}}^{\perp } H_{k} \rightarrow \bigoplus _{k \in \mathcal{K}}^{\perp }\left(L_{2}\left(X_{k}, \mu _{k}\right)\right)^{k},

such that the restriction of AA to HkH_{k} is unitarily equivalent to the orthogonal direct sum of kk copies of the operator of multiplication by the independent variable in L2(Xk,μk)L_{2}\left(X_{k}, \mu_{k}\right):

(UAU−1)∣(L2(Xk,μk))k=Mk⊕Mk⊕…⏟k summands, \left.\left(U A U^{-1}\right)\right|_{\left(L_{2}\left(X_{k}, \mu _{k}\right)\right)^{k}} = \underbrace{M_{k} \oplus M_{k} \oplus \ldots }_{k \text{ summands}},

where Mk∈B(L2(Xk,μk))M_{k} \in \mathcal{B}\left(L_{2}\left(X_{k}, \mu_{k}\right)\right), (Mkx)(t)=tx(t)\left(M_{k} x\right)(t) = t x(t).

Theorem 13.9: Two self-adjoint operators AA and BB in a Hilbert space are unitarily equivalent if and only if their multiplicity functions coincide and the spectral measures defined in Theorem 13.8 are equivalent: μk,A∼μk,B\mu_{k, A} \sim \mu_{k, B} for every k∈Kk \in \mathcal{K}. (Here the multiplicity function of AA is nA(λ)=0n_{A}(\lambda ) = 0 outside σ(A)\sigma (A), nA(λ)=kn_{A}(\lambda ) = k for λ∈Xk\lambda \in X_{k}, k∈Kk \in \mathcal{K}.)

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Determine whether among the following operators there are unitarily equivalent ones: A1∈B(L2[0,1]),(A1x)(t)=tx(t);A_{1} \in \mathcal{B}\left(L_{2}[0,1]\right),\left(A_{1} x\right)(t) = t x(t) ; A2∈B(L2[−1,1]),(A2x)(t)=∣t∣x(t);A_{2} \in \mathcal{B}\left(L_{2}[-1,1]\right),\left(A_{2} x\right)(t) = \left|t\right| x(t) ; A3∈B(L2[0,1]),(A3x)(t)=t2x(t);A_{3} \in \mathcal{B}\left(L_{2}[0,1]\right),\left(A_{3} x\right)(t) = t^{2} x(t) ; A4∈B(L2[0,1]),(A4x)(t)=t3x(t);A_{4} \in \mathcal{B}\left(L_{2}[0,1]\right),\left(A_{4} x\right)(t) = t^{3} x(t) ; A5∈B(L2[0,1]),(A5x)(t)=tx(t);A_{5} \in \mathcal{B}\left(L_{2}[0,1]\right),\left(A_{5} x\right)(t) = \sqrt{t} x(t) ; A6∈B(L2[0,π/2]),(A6x)(t)=sin⁡tx(t);A_{6} \in \mathcal{B}\left(L_{2}[0, \pi / 2]\right),\left(A_{6} x\right)(t) = \sin t x(t) ; A7∈B(L2[0,π]),(A7x)(t)=sin⁡tx(t);A_{7} \in \mathcal{B}\left(L_{2}[0, \pi ]\right),\left(A_{7} x\right)(t) = \sin t x(t) ; A8∈B(L2[0,1]),(A8x)(t)=(1−t)x(t);A_{8} \in \mathcal{B}\left(L_{2}[0,1]\right),\left(A_{8} x\right)(t) = (1-t) x(t) ; A9∈B(L2[0,1]),(A9x)(t)=LK(t)x(t)A_{9} \in \mathcal{B}\left(L_{2}[0,1]\right),\left(A_{9} x\right)(t) = L K(t) x(t).

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Construct the canonical functional model for the following operators in the space l2l_{2}:

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(a)

A:(x1,x2,…)↦(r1x1,r2x2,…)A:\left(x_{1}, x_{2}, \ldots \right) \mapsto \left(r_{1} x_{1}, r_{2} x_{2}, \ldots \right), where {rj}1∞\left\{ r_{j}\right\}_{1}^{\infty } is a bounded sequence of pairwise distinct real numbers;

(b)

A:(x1,x2,…)↦(x1,12x2,12x3,13x4,13x5,13x6,14x7,…)A:\left(x_{1}, x_{2}, \ldots \right) \mapsto \left(x_{1}, \frac{1}{2} x_{2}, \frac{1}{2} x_{3}, \frac{1}{3} x_{4}, \frac{1}{3} x_{5}, \frac{1}{3} x_{6}, \frac{1}{4} x_{7}, \ldots \right), where the factor 1n\frac{1}{n} is repeated nn times.

Prove that the convolution operator SfS_{f} in L2(R)L_{2}(\mathbb {R}) is unitarily equivalent to the operator of multiplication by the function 2πf^:F^SfF^−1h=2πf^h\sqrt{2 \pi } \hat{f}: \hat{F} S_{f} \hat{F}^{-1} h = \sqrt{2 \pi } \hat{f} h for every function h∈L2(R)h \in L_{2}(\mathbb {R}).

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Let μ=\mu = Area measure on D≡{z∈C:∣z∣<1}\mathbb {D} \equiv \left\{ z \in \mathbb {C}: \left|z\right|<1\right\} and define A:L2(μ)→L2(μ)A: L^{2}(\mu ) \rightarrow L^{2}(\mu ) by (Af)(z)=zf(z)(Af)(z) = zf(z) for ∣z∣<1\left|z\right|<1 and ff in L2(μ)L^{2}(\mu ). Find a nontrivial reducing subspace for AA and an invariant subspace that does not reduce AA.

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If H\mathcal{H} is separable, show that the definitions of a diagonalizable operator in (4.6) and (7.3) are equivalent.

Proposition 4.6 (context): Let H\mathcal{H} be a separable Hilbert space with basis {en}\left\{ e_{n}\right\}; let {αn}⊆F\left\{ \alpha_{n}\right\} \subseteq \mathbb {F} with M=sup⁡{∣αn∣:n≥1}<∞M = \sup \left\{ \left|\alpha_{n}\right|: n \geq 1\right\} < \infty. If Aen=αnenAe_{n} = \alpha_{n} e_{n} for all nn, then AA extends by linearity to a bounded operator on H\mathcal{H} with ∥A∥=M\left\| A\right\| = M. The operator AA is compact if and only if αn→0\alpha_{n} \rightarrow 0 as n→∞n \rightarrow \infty. (Such an operator AA is said to be diagonalizable.)

(7.3) (context): An operator AA on H\mathcal{H} is diagonalizable if there is a partition of the identity on H\mathcal{H}, {Pi:i∈I}\left\{ P_{i}: i \in I\right\}, and a family of scalars {αi:i∈I}\left\{ \alpha_{i}: i \in I\right\} such that sup⁡i∣αi∣<∞\sup_{i} \left|\alpha_{i}\right| < \infty and Ah=αihAh = \alpha_{i} h whenever h∈ran⁡Pih \in \operatorname {ran} P_{i}.

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If λ∈C\lambda \in \mathbb {C}, let δλ\delta_{\lambda } be the unit point mass at λ\lambda; that is, δλ\delta_{\lambda } is the measure on C\mathbb {C} such that δλ(Δ)=1\delta_{\lambda }(\Delta ) = 1 if λ∈Δ\lambda \in \Delta and δλ(Δ)=0\delta_{\lambda }(\Delta ) = 0 if λ∉Δ\lambda \notin \Delta. If {λ1,λ2,…}\left\{ \lambda_{1}, \lambda_{2}, \ldots \right\} is a bounded sequence of distinct complex numbers and {αn}\left\{ \alpha_{n}\right\} is a sequence of real numbers with αn>0\alpha_{n} > 0 and ∑nαn<∞\sum_{n} \alpha_{n} < \infty, let μ=∑n=1∞αnδλn\mu = \sum_{n=1}^{\infty } \alpha_{n} \delta_{\lambda_{n}}; so μ\mu is a finite measure. If ϕ∈l∞(C)\phi \in l^{\infty }(\mathbb {C}), let MϕM_{\phi } be the multiplication operator on L2(μ)L^{2}(\mu ). Define T:L2(μ)→L2(μ)T: L^{2}(\mu ) \rightarrow L^{2}(\mu ) by (Tf)(λn)=λnf(λn)(Tf)(\lambda_{n}) = \lambda_{n} f(\lambda_{n}). Prove:

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(a)

TT is a normal operator;

(b)

TT has a cyclic vector (see Exercise 10);

(c)

if A∈B(H)A \in \mathcal{B}(\mathcal{H}) and AT=TAAT=TA, then A=MϕA = M_{\phi } for some ϕ\phi in l∞(C)l^{\infty }(\mathbb {C});

(d)

TT is compact if and only if λn→0\lambda_{n} \rightarrow 0;

(e)

if TT is compact, find all of the cyclic vectors for TT;

(f)

if TT is compact, find the decomposition (7.7) for TT.

Let A:L2(0,1)→L2(0,1)A: L^{2}(0,1) \rightarrow L^{2}(0,1) be defined by (Af)(x)=xf(x)(Af)(x) = xf(x) for ff in L2(0,1)L^{2}(0,1) and xx in (0,1)(0,1). Show that A≅A2A \cong A^{2}.

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Show that the following representation is a cyclic representation and find all of the cyclic vectors: if (X,Ω,μ)(X, \Omega , \mu ) is a σ\sigma-finite measure space and H=L2(μ)\mathcal{H} = L^2(\mu ), then π:L∞(μ)→B(H)\pi : L^\infty (\mu ) \to \mathcal{B}(\mathcal{H}) defined by π(ϕ)=Mϕ\pi (\phi ) = M_\phi (the multiplication operator) is a representation.

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Show that the following representation is a cyclic representation and find all the cyclic vectors: if XX is a compact space and μ\mu is a positive Borel measure on XX, then π:C(X)→B(L2(μ))\pi : C(X) \to \mathcal{B}(L^2(\mu )) defined by π(f)=Mf\pi (f) = M_f is a representation.

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Verify the statements in the following example (Example 2.5). If μ\mu is a regular Borel measure on C\mathbb {C} with compact support KK, define NμN_\mu on L2(μ)L^2(\mu ) by Nμf=zfN_\mu f = zf for each ff in L2(μ)L^2(\mu ). It is easy to check that Nμ∗f=zˉfN_\mu^* f = \bar{z} f, and hence NμN_\mu is normal.

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(a)

σ(Nμ)=K=\sigma (N_\mu ) = K = support of μ\mu.

(b)

If, for a bounded Borel function ϕ\phi, we define MϕM_\phi on L2(μ)L^2(\mu ) by Mϕf=ϕfM_\phi f = \phi f, then ϕ(Nμ)=Mϕ\phi (N_\mu ) = M_\phi.

(c)

If EE is the spectral measure for NμN_\mu, then E(Δ)=MχΔE(\Delta ) = M_{\chi_\Delta }.

Let (X,Ω,μ)(X, \Omega , \mu ) be any σ\sigma-finite measure space and put H=L2(X,Ω,μ)\mathcal{H} = L^2(X, \Omega , \mu ). For ϕ\phi in L∞(μ)≡L∞(X,Ω,μ)L^\infty (\mu ) \equiv L^\infty (X, \Omega , \mu ), define MϕM_\phi on H\mathcal{H} by Mϕf=ϕfM_\phi f = \phi f; then MϕM_\phi is normal with Mϕ∗=MϕˉM_\phi^* = M_{\bar\phi }, and σ(Mϕ)=ess-ran⁡(ϕ)\sigma (M_\phi ) = \operatorname {ess-ran}(\phi ), the essential range of ϕ\phi, defined by

ess-ran⁡(ϕ)≡⋂{cl⁡(ϕ(Δ)):Δ∈Ω and μ(X∖Δ)=0}. \operatorname {ess-ran}(\phi ) \equiv \bigcap \{ \operatorname {cl}(\phi (\Delta )) : \Delta \in \Omega \text{ and } \mu (X \setminus \Delta ) = 0\} .

Verify the following statement (Example 2.6(e)). If EE is the spectral measure for MϕM_\phi [so EE is defined on the Borel subsets of σ(Mϕ)=ess-ran⁡(ϕ)⊆C\sigma (M_\phi ) = \operatorname {ess-ran}(\phi ) \subseteq \mathbb {C}], then for every Borel subset Δ\Delta of σ(Mϕ)\sigma (M_\phi ),

E(Δ)=Mχϕ−1(Δ). E(\Delta ) = M_{\chi _{\phi ^{-1}(\Delta )}}.
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If μ\mu is a compactly supported measure on C\mathbb {C} and f∈L2(μ)f \in L^2(\mu ), ff is a star-cyclic vector for NμN_\mu if and only if μ({x:f(x)=0})=0\mu (\{ x : f(x) = 0\} ) = 0.

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Let (X,Ω,μ)(X, \Omega , \mu ) be the measure space obtained in the proof of the following theorem (Theorem 4.6: if NN is a normal operator on H\mathcal{H}, then there is a measure space (X,Ω,μ)(X, \Omega , \mu ) and a function ϕ\phi in L∞(X,Ω,μ)L^\infty (X, \Omega , \mu ) such that NN is unitarily equivalent to MϕM_\phi on L2(X,Ω,μ)L^2(X, \Omega , \mu )) and show that L1(X,Ω,μ)∗L^1(X, \Omega , \mu )^* is isometrically isomorphic to L∞(X,Ω,μ)L^\infty (X, \Omega , \mu ).

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If (X,Ω,μ)(X, \Omega , \mu ) is a measure space, then (X,Ω,μ)(X, \Omega , \mu ) is σ\sigma-finite or L2(μ)L^2(\mu ) is finite dimensional if and only if every collection of pairwise orthogonal projections in {Mϕ∈L∞(μ)}\{ M_\phi \in L^\infty (\mu )\} is countable.

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Let H\mathcal{H} be separable with basis {en}\{ e_n\}. Let AA be the diagonal operator on H\mathcal{H} given by Aen=λnenAe_n = \lambda_n e_n, where sup⁡n∣λn∣<∞\sup_n \left|\lambda_n\right| < \infty. Determine {A}′\{ A\} ' and {A}′′\{ A\} ''. Give necessary and sufficient conditions on {λn}\{ \lambda_n\} such that {A}′={A}′′\{ A\} ' = \{ A\} ''.

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If μ\mu is Lebesgue measure on [0,1][0, 1], show that Nμ≅NμpN_\mu \cong N_\mu^p for 0<p<∞0 < p < \infty.

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Let μ\mu be Lebesgue measure on R\mathbb {R} and N=N = multiplication by sin⁡x\sin x on L2(μ)L^2(\mu ). Find the decompositions of NN obtained in Theorem 10.1 and Theorem 10.16, stated below.

Theorem 10.1: (a) If NN is a normal operator, then there is a sequence (possibly finite) of measures {μn}\{ \mu_n\} on C\mathbb {C} such that μn+1≪μn\mu_{n+1} \ll \mu_n for all nn and N≅Nμ1⊕Nμ2⊕⋯N \cong N_{\mu_1} \oplus N_{\mu_2} \oplus \cdots. (b) If NN and {μn}\{ \mu_n\} are as in (a) and M≅Nν1⊕Nν2⊕⋯M \cong N_{\nu_1} \oplus N_{\nu_2} \oplus \cdots, where νn+1≪νn\nu_{n+1} \ll \nu_n for all nn, then N≅MN \cong M if and only if [μn]=[νn][\mu_n] = [\nu_n] for all nn.

Theorem 10.16: If NN is a normal operator, then there are mutually singular measures μ∞,μ1,μ2,…\mu_\infty , \mu_1, \mu_2, \dots (some of which may be zero) such that

N≅Nμ∞(∞)⊕Nμ1⊕Nμ2(2)⊕⋯ . N \cong N_{\mu _\infty }^{(\infty )} \oplus N_{\mu _1} \oplus N_{\mu _2}^{(2)} \oplus \cdots .

If MM is another normal operator with corresponding measures ν∞,ν1,ν2,…\nu_\infty , \nu_1, \nu_2, \dots, then N≅MN \cong M if and only if [μn]=[νn][\mu_n] = [\nu_n] for 1≤n≤∞1 \leq n \leq \infty.

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Let (X,Ω,μ)(X, \Omega , \mu ) be a measure space such that L2(μ)L^2(\mu ) is separable, let ϕ∈L∞(μ)\phi \in L^\infty (\mu ), and let N=MϕN = M_\phi on L2(μ)L^2(\mu ). Find the decompositions of NN obtained in Theorem 10.1 and Theorem 10.16, stated below.

Theorem 10.1: (a) If NN is a normal operator, then there is a sequence (possibly finite) of measures {μn}\{ \mu_n\} on C\mathbb {C} such that μn+1≪μn\mu_{n+1} \ll \mu_n for all nn and N≅Nμ1⊕Nμ2⊕⋯N \cong N_{\mu_1} \oplus N_{\mu_2} \oplus \cdots. (b) If NN and {μn}\{ \mu_n\} are as in (a) and M≅Nν1⊕Nν2⊕⋯M \cong N_{\nu_1} \oplus N_{\nu_2} \oplus \cdots, where νn+1≪νn\nu_{n+1} \ll \nu_n for all nn, then N≅MN \cong M if and only if [μn]=[νn][\mu_n] = [\nu_n] for all nn.

Theorem 10.16: If NN is a normal operator, then there are mutually singular measures μ∞,μ1,μ2,…\mu_\infty , \mu_1, \mu_2, \dots (some of which may be zero) such that

N≅Nμ∞(∞)⊕Nμ1⊕Nμ2(2)⊕⋯ . N \cong N_{\mu _\infty }^{(\infty )} \oplus N_{\mu _1} \oplus N_{\mu _2}^{(2)} \oplus \cdots .

If MM is another normal operator with corresponding measures ν∞,ν1,ν2,…\nu_\infty , \nu_1, \nu_2, \dots, then N≅MN \cong M if and only if [μn]=[νn][\mu_n] = [\nu_n] for 1≤n≤∞1 \leq n \leq \infty.

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Let μ\mu be a compactly supported measure on C\mathbb {C}, ϕ\phi a bounded Borel function on C\mathbb {C}, and suppose {Δn}\{ \Delta_n\} are pairwise disjoint Borel sets such that ϕ\phi is one-to-one on each Δn\Delta_n and μ(C∖⋃n=1∞Δn)=0\mu (\mathbb {C} \setminus \bigcup_{n=1}^\infty \Delta_n) = 0. Let ϕn=ϕχΔn\phi_n = \phi \chi_{\Delta_n} and μn=μ∘ϕn−1\mu_n = \mu \circ \phi_n^{-1} for n≥1n \geq 1. Prove that MϕM_\phi on L2(μ)L^2(\mu ) is unitarily equivalent to ⨁n=1∞Nμn\bigoplus_{n=1}^\infty N_{\mu_n}.

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Recall the construction from the proof of the Spectral Theorem (4.11): given a normal operator NN, one lets B=(1+N∗N)−1=∫01t dP(t)B = (1 + N^*N)^{-1} = \int_0^1 t \, dP(t) be the spectral decomposition of BB, puts Pn=P([1/(n+1),1/n])P_n = P\left(\left[1/(n+1), 1/n\right]\right) and Hn=PnH\mathcal{H}_n = P_n \mathcal{H} for n≥1n \geq 1, so that Hn\mathcal{H}_n reduces NN and Nn≡N∣HnN_n \equiv N \rvert \mathcal{H}_n is a bounded normal operator with σ(Nn)⊆Δn≡{z∈C:(n−1)1/2≤∣z∣≤n1/2}\sigma (N_n) \subseteq \Delta_n \equiv \left\{ z \in \mathbb {C} : (n-1)^{1/2} \leq \left|z\right| \leq n^{1/2}\right\}; letting Nn=∫z dEn(z)N_n = \int z \, dE_n(z) be the spectral decomposition of NnN_n, the spectral measure of NN is then defined by E(Δ)=∑n=1∞En(Δ∩Δn)E(\Delta ) = \sum_{n=1}^{\infty } E_n(\Delta \cap \Delta_n).

If Δn\Delta_n and EnE_n are as in this construction, show that En(Δn+1)=En(Δn−1)=0E_n(\Delta_{n+1}) = E_n(\Delta_{n-1}) = 0.

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Use the Spectral Theorem to show that if 0<a≤b<∞0 < a \leq b < \infty, Δ={z∈C:a≤∣z∣≤b}\Delta = \left\{ z \in \mathbb {C} : a \leq \left|z\right| \leq b\right\}, and N=∫z dE(z)N = \int z \, dE(z) is the spectral decomposition of the normal operator NN, then

E(Δ)H={h∈dom⁡N:an∥h∥≤∥Nnh∥≤bn∥h∥ for all n≥1}. E(\Delta )\mathcal{H} = \left\{ h \in \operatorname {dom} N : a^n \left\| h\right\| \leq \left\| N^n h\right\| \leq b^n \left\| h\right\| \text{ for all } n \geq 1\right\} .
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Recall Theorem 4.19: if NN is a normal operator on the separable Hilbert space H\mathcal{H}, then there is a σ\sigma-finite measure space (X,Ω,μ)(X, \Omega , \mu ) and an Ω\Omega-measurable function ϕ\phi such that NN is unitarily equivalent to MϕM_\phi on L2(μ)L^2(\mu ).

The proof is only sketched in the text as follows. Write NN as the (unbounded) direct sum of bounded normal operators {Nn}\left\{ N_n\right\}. For each nn there is a σ\sigma-finite measure space (Xn,Ωn,μn)(X_n, \Omega_n, \mu_n) and a bounded Ωn\Omega_n-measurable function ϕn\phi_n such that Nn≅MϕnN_n \cong M_{\phi_n}. Let XX be the disjoint union of {Xn}\left\{ X_n\right\} and let Ω={Δ⊆X:Δ∩Xn∈Ωn for every n}\Omega = \left\{ \Delta \subseteq X : \Delta \cap X_n \in \Omega_n \text{ for every } n\right\}. If Δ∈Ω\Delta \in \Omega, let μ(Δ)=∑n=1∞μn(Δ∩Xn)\mu (\Delta ) = \sum_{n=1}^{\infty } \mu_n(\Delta \cap X_n). Let ϕ:X→C\phi : X \to \mathbb {C} be defined by ϕ(x)=ϕn(x)\phi (x) = \phi_n(x) if x∈Xnx \in X_n. Then ϕ\phi is Ω\Omega-measurable and N≅MϕN \cong M_\phi on L2(X,Ω,μ)L^2(X, \Omega , \mu ).

Fill in the details of this proof.

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A necessary and sufficient condition that an operator AA on a Hilbert space H\mathbf{H} be representable as a multiplication on a functional Hilbert space is that the eigenvectors of A∗A^{*} span H\mathbf{H}.

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Remark.
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A functional Hilbert space is a Hilbert space H\mathbf{H} whose elements are complex-valued functions on some set XX, such that for each x∈Xx \in X evaluation at xx is a bounded linear functional on H\mathbf{H}; by the Riesz representation theorem there is then, for each xx, a vector Kx∈HK_x \in \mathbf{H} (the reproducing kernel at xx) such that f(x)=⟨f,Kx⟩f(x) = \left\langle f, K_x \right\rangle for every f∈Hf \in \mathbf{H}, and the KxK_x's always span H\mathbf{H}. A multiplication on a functional Hilbert space H\mathbf{H} (with domain XX) is an operator AA for which there is a function φ\varphi (the multiplier) on XX such that (Af)(x)=φ(x)f(x)(Af)(x) = \varphi (x)f(x) for every f∈Hf \in \mathbf{H} and every x∈Xx \in X.

Caution: as the facts for multiplications on L2L^{2} spaces show (cf. Solution 81) this characterization is applicable to functional Hilbert spaces only. The result seems to be due to P. R. Halmos and A. L. Shields.

If AA is a normal operator on a separable Hilbert space, and if 1+A+⋯+An1 + A + \cdots + A^{n} is diagonal for some positive integer nn, does it follow that AA is diagonal?

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Remark.
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An operator is diagonal (see Problem 61) if there exists an orthonormal basis of the space consisting entirely of eigenvectors of that operator.

What are all the cyclic vectors of the position operator on L2((0,1))L^{2}\left((0,1)\right)?

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Remark.
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If μ\mu is a Borel measure with compact support in the complex plane, then the position operator AA on L2(μ)L^{2}\left(\mu \right) is defined by (Af)(z)=zf(z)(Af)(z) = zf(z).

References

[БСШ17] Бородин П.А., Савчук А.М., Шейпак И.А. Задачи по функциональному анализу. МЦНМО, 2017.
[Con07] Conway J.B. A Course in Functional Analysis. 2nd ed., Springer, 2007.
[Hal82] Halmos P.R. A Hilbert Space Problem Book. 2nd ed., Springer-Verlag, 1982.