Chapter 7

Multiplication Operators

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Problem 61

A necessary and sufficient condition that a family {αj}\left\{ \alpha_j\right\} be the diagonal of a diagonal operator is that it be bounded; if it is bounded, then the equations Aej=αjejAe_j = \alpha_j e_j uniquely determine an operator AA, and ∥A∥=sup⁡j∣αj∣\left\| A\right\| = \sup_j \left|\alpha_j\right|.

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Remark.
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Suppose that H\mathbf{H} is a Hilbert space and that {ej}\left\{ e_j\right\} is a family of vectors that constitute an orthonormal basis for H\mathbf{H}. An operator AA is called a diagonal operator if AejAe_j is a scalar multiple of eje_j, say Aej=αjejAe_j = \alpha_j e_j, for each jj; the family {αj}\left\{ \alpha_j\right\} may properly be called the diagonal of AA. It is sometimes convenient to use the symbol diag⁡⟨α0,α1,α2,…⟩\operatorname {diag}\left\langle \alpha_0, \alpha_1, \alpha_2, \ldots \right\rangle to denote the diagonal operator with the indicated diagonal terms.

Problem 62

Can an unbounded sequence of scalars induce a (possibly unbounded) transformation of l2l^2 into itself?

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Problem 63

A diagonal operator with diagonal {αn}\left\{ \alpha_n\right\} is an invertible operator if and only if the sequence {αn}\left\{ \alpha_n\right\} is an invertible sequence. Consequence: the spectrum of a diagonal operator is the closure of the set of its diagonal terms.

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Remark.
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The set of all bounded sequences {αn}\left\{ \alpha_n\right\} of complex numbers is an algebra (pointwise operations), with unit (αn=1\alpha_n = 1 for all nn), with a conjugation ({αn}→{αn∗}\left\{ \alpha_n\right\} \to \left\{ \alpha_n^{*}\right\}), and with a norm (∥{αn}∥=sup⁡n∣αn∣\left\| \left\{ \alpha_n\right\} \right\| = \sup_n \left|\alpha_n\right|). A bounded sequence {αn}\left\{ \alpha_n\right\} is called invertible if it has an inverse in this algebra, i.e., if there exists a bounded sequence {βn}\left\{ \beta_n\right\} such that αnβn=1\alpha_n \beta_n = 1 for all nn. A necessary and sufficient condition for this to happen is that {αn}\left\{ \alpha_n\right\} be bounded away from 00, i.e., that there exist a positive number δ\delta such that ∣αn∣≥δ\left|\alpha_n\right| \geq \delta for all nn.

Problem 64

What, in terms of the multiplier φ\varphi, is the norm of the multiplication induced by φ\varphi?

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Remark.
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Suppose that XX is a measure space with measure μ\mu. If φ\varphi is a complex-valued bounded (i.e., essentially bounded) measurable function on XX, then the multiplication operator (or just multiplication, for short) induced by φ\varphi is the operator AA on L2(μ)L^{2}\left(\mu \right) defined by (Af)(x)=φ(x)f(x)(Af)(x) = \varphi (x) f(x) for all xx in XX. (Here, as elsewhere in measure theory, two functions are identified if they differ on a set of measure zero only. This applies to the bounded φ\varphi's as well as to the square-integrable ff's.) If XX is the set of all positive integers and μ\mu is the counting measure (the measure of every set is the number of elements in it), then multiplication operators reduce to diagonal operators.

Problem 65

If an operator AA on L2L^{2} (for a σ\sigma-finite measure) is such that Af=φ⋅fAf = \varphi \cdot f for all ff in L2L^{2} (for some function φ\varphi), then φ\varphi is measurable and bounded.

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Problem 66

Can an unbounded function induce a (possibly unbounded) transformation of L2L^{2} (for a σ\sigma-finite measure) into itself?

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Problem 67

The multiplication operator on L2L^{2} (for a σ\sigma-finite measure) induced by φ\varphi is an invertible operator if and only if φ\varphi is an invertible function. Consequence: the spectrum of a multiplication is the essential range of the multiplier.

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Remark.
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The set of all bounded measurable functions (identified modulo sets of measure zero) is an algebra (pointwise operations), with unit (φ(x)=1\varphi (x) = 1 for all xx), with a conjugation (φ↦φ∗\varphi \mapsto \varphi^{*}), and with a norm (∥φ∥∞\left\| \varphi \right\|_{\infty }). A bounded measurable function is invertible if it has an inverse in this algebra, i.e., if there exists a bounded measurable function ψ\psi such that φ(x)ψ(x)=1\varphi (x)\psi (x) = 1 for almost every xx. A necessary and sufficient condition for this to happen is that φ\varphi be bounded away from 00 almost everywhere, i.e., that there exist a positive number δ\delta such that ∣φ(x)∣≥δ\left|\varphi (x)\right| \geq \delta for almost every xx.

The essential range of a function φ\varphi is, by definition, the set of all complex numbers λ\lambda such that for each neighborhood NN of λ\lambda the set φ−1(N)\varphi^{-1}(N) has positive measure.

Problem 68

Suppose that H\mathbf{H} is a functional Hilbert space, over a set XX say, and suppose that φ\varphi is a complex-valued function on XX such that φ⋅f∈H\varphi \cdot f \in \mathbf{H} whenever f∈Hf \in \mathbf{H}.

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(a)

If Af=φ⋅fAf = \varphi \cdot f, is the linear transformation AA bounded?

(b)

If Af=φ⋅fAf = \varphi \cdot f and if AA is bounded, is the function φ\varphi bounded?

Remark.
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If a function φ\varphi multiplies L2L^{2} into itself, then φ\varphi is necessarily bounded (Solution 66), and therefore multiplication by φ\varphi is necessarily an operator on L2L^{2}. This problem asks whether the analogues of these assertions are true for functional Hilbert spaces.

Problem 69

Construct an infinite-dimensional functional Hilbert space H\mathbf{H} such that the multipliers of H\mathbf{H} are exactly the elements of H\mathbf{H}.

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Remark.
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A function φ\varphi on a set XX is a multiplier of a functional Hilbert space H\mathbf{H} over XX if φ⋅f∈H\varphi \cdot f \in \mathbf{H} for every ff in H\mathbf{H}. Solution 68 shows that every multiplier is (necessarily) bounded.

To say that every element of H\mathbf{H} is a multiplier is the same as to say that H\mathbf{H} is closed under multiplication, i.e., that H\mathbf{H} is an algebra. The constant function 11 is a multiplier of every H\mathbf{H}; hence, to say that every multiplier of H\mathbf{H} belongs to H\mathbf{H} is the same as to say that 1∈H1 \in \mathbf{H}. If 1∈H1 \in \mathbf{H}, then, of course, the algebra H\mathbf{H} has a unit, but trivial examples show that the converse is not true. Thus, the construction of an infinite-dimensional functional Hilbert space that is an algebra with unit (under pointwise functional multiplication) is not quite, but almost, what the problem asks for.