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Unbounded Operators, Domains, Closure, and Adjoints

An unbounded operator must not be treated as a formula acting everywhere. It is a pair

(D(A),A),A:D(A)H1H2,\big(\mathcal D(A),A\big), \qquad A:\mathcal D(A)\subset H_1\longrightarrow H_2,

consisting of a linear rule and the vectors on which that rule is defined. Changing the domain can change the graph, the closure, the adjoint, the boundary conditions, and eventually the spectrum and dynamics, even when the displayed differential expression is unchanged.

The graph records simultaneous limits of inputs and outputs. A closed operator contains all such limits; a closable operator has a smallest closed extension. For a densely defined operator, the adjoint domain is not copied from the original domain. It consists of those vectors η\eta for which

ψηAψ\psi\longmapsto\langle\eta|A\psi\rangle

is bounded in the ambient Hilbert norm ψ\|\psi\|. Riesz representation then determines AηA^\dagger\eta. These constructions explain why formal integration by parts is only the beginning of an operator analysis.

Required background. Banach and Hilbert Spaces, Completion, and Riesz Representation supplies completeness, orthogonal complements, and Riesz representation.

Throughout, HH, H1H_1, and H2H_2 are complex Hilbert spaces; HH denotes the endomorphism case H1=H2=HH_1=H_2=H. The bra slot is conjugate-linear and the ket slot is linear:

αηAψ=αηAψ,ηA(αψ)=αηAψ.\langle\alpha\eta|A\psi\rangle = \alpha^*\langle\eta|A\psi\rangle, \qquad \langle\eta|A(\alpha\psi)\rangle = \alpha\langle\eta|A\psi\rangle.

The notation D(A)\mathcal D(A) always means the operator domain, not merely a convenient set of test vectors suppressed from the definition. The adjoint is written AA^\dagger. For a densely defined operator, the site convention defines it by

ηD(A)H2there is a unique wH1 such that ηAψ=wψ\eta\in\mathcal D(A^\dagger)\subset H_2 \quad\Longleftrightarrow\quad \text{there is a unique }w\in H_1\text{ such that } \langle\eta|A\psi\rangle=\langle w|\psi\rangle

for every ψD(A)\psi\in\mathcal D(A), and then Aη=wA^\dagger\eta=w.

This page develops domains, graphs, closures, cores, and adjoints. It distinguishes symmetric from self-adjoint operators but leaves extension theory, deficiency indices, boundary classifications, and unitary evolution to Self-Adjointness, Extensions, and Unitary Evolution. General spectra and resolvents come later at Spectra, Resolvents, Spectral Measures, and Functional Calculus.

Let AA and BB be linear operators from subspaces of H1H_1 into H2H_2. The notation

ABA\subset B

means

D(A)D(B),Bψ=Aψfor every ψD(A).\mathcal D(A)\subseteq\mathcal D(B), \qquad B\psi=A\psi \quad\text{for every }\psi\in\mathcal D(A).

Thus BB is an extension of AA, and AA is a restriction of BB. Two operators are equal only when both their actions and their domains are equal. This convention prevents one differential expression from being silently identified with all of its possible boundary realizations.

The word unbounded means that there is no finite CC satisfying

AψH2CψH1for every ψD(A).\|A\psi\|_{H_2}\leq C\|\psi\|_{H_1} \qquad \text{for every }\psi\in\mathcal D(A).

It does not mean that AψA\psi is an infinite vector. Every output is an element of H2H_2; what fails is one uniform estimate in the ambient norms. A proper domain alone is not evidence of unboundedness. If a linear rule on a dense domain does satisfy the displayed estimate, it extends uniquely to a bounded operator from H1H_1 to H2H_2.

For example, let (en)n1(e_n)_{n\geq1} be the standard basis of 2\ell^2 and set

Nen=nen.Ne_n=ne_n.

The maximal natural domain is

D(N)={c=(cn)2:n=1n2cn2<}.\mathcal D(N) = \left\{ c=(c_n)\in\ell^2: \sum_{n=1}^{\infty}n^2|c_n|^2<\infty \right\}.

It contains the finite sequences and is therefore dense. Since Nen=n\|Ne_n\|=n while en=1\|e_n\|=1, NN is unbounded. The rule cannot be extended continuously to all of 2\ell^2.

This last fact is not accidental. The Hellinger–Toeplitz theorem says that an everywhere-defined symmetric operator on a Hilbert space is bounded. More generally, the closed graph theorem says that an everywhere-defined closed operator between Banach spaces is bounded. A genuinely unbounded symmetric or closed operator must therefore have a proper domain.

For endomorphisms AA and BB in HH, their formal sum and product have the natural domains

D(A+B)=D(A)D(B),D(AB)={ψD(B):BψD(A)}.\begin{aligned} \mathcal D(A+B) &= \mathcal D(A)\cap\mathcal D(B),\\ \mathcal D(AB) &= \{\psi\in\mathcal D(B):B\psi\in\mathcal D(A)\}. \end{aligned}

The second line is ordered: BB must act first and must produce a vector on which AA can act. Consequently ABAB and BABA can have different domains, and the commutator

[A,B]ψ=(ABBA)ψ[A,B]\psi=(AB-BA)\psi

is initially meaningful only on D(AB)D(BA)\mathcal D(AB)\cap\mathcal D(BA). An algebraic identity verified on a common invariant test domain is an identity there; it does not automatically extend to all of HH or to the maximal domains of the displayed products.

Closure does not distribute naively over these operations. Even when AA and BB are closable, a sum or product can require additional hypotheses before it is closable or before its closure has a simple formula. This is one place where bounded perturbations are much safer than arbitrary unbounded ones.

The graph of AA is the linear subspace

Γ(A)={(ψ,Aψ):ψD(A)}H1H2.\Gamma(A) = \{(\psi,A\psi):\psi\in\mathcal D(A)\} \subset H_1\oplus H_2.

The operator is closed when Γ(A)\Gamma(A) is closed in the product Hilbert space. Equivalently,

ψnψ,Aψnη\psi_n\longrightarrow\psi, \qquad A\psi_n\longrightarrow\eta

with every ψnD(A)\psi_n\in\mathcal D(A) implies

ψD(A),Aψ=η.\psi\in\mathcal D(A), \qquad A\psi=\eta.

Both limits matter. Closedness does not say that AψnA\psi_n converges whenever ψn\psi_n does; that would be continuity. It says that if the input and output limits both exist, the limiting pair still lies in the graph.

The graph norm on D(A)\mathcal D(A) is

ψA=(ψH12+AψH22)1/2.\|\psi\|_A = \left(\|\psi\|_{H_1}^2+\|A\psi\|_{H_2}^2\right)^{1/2}.

The map

ψ(ψ,Aψ)\psi\longmapsto(\psi,A\psi)

is an isometry from (D(A),A)(\mathcal D(A),\|\cdot\|_A) onto Γ(A)\Gamma(A). Hence

A is closed(D(A),A) is complete.\boxed{ A\text{ is closed} \quad\Longleftrightarrow\quad (\mathcal D(A),\|\cdot\|_A)\text{ is complete}. }

The ambient norm and graph norm have different jobs. The graph norm controls both a vector and the result of applying AA. The adjoint domain below, however, is defined by boundedness with respect to the ambient norm, not the graph norm.

An operator AA is closable when the closure Γ(A)\overline{\Gamma(A)} is itself the graph of an operator. That operator is the closure A\overline A. It is the smallest closed extension of AA:

AABA\subset\overline A\subset B

for every closed extension BB of AA.

The obstruction to closability is a vertical vector in the closed graph. Equivalently,

A is closableψn0,Aψnη}η=0.\boxed{ A\text{ is closable} \quad\Longleftrightarrow\quad \left. \begin{aligned} \psi_n&\longrightarrow0,\\ A\psi_n&\longrightarrow\eta \end{aligned} \right\} \Longrightarrow\eta=0. }

If a nonzero η\eta survived, the closed graph would contain both (0,0)(0,0) and (0,η)(0,\eta) and could not be the graph of a single-valued map. Conversely, if no such vertical vector exists, the first component of a point in Γ(A)\overline{\Gamma(A)} determines its second component uniquely.

A subspace CD(A)\mathcal C\subset\mathcal D(A) is a core for a closed operator AA when it is dense in D(A)\mathcal D(A) in the graph norm. The restriction ACA|_{\mathcal C} is then closable and

AC=A.\overline{A|_{\mathcal C}}=A.

Thus a core is more than an ambient-dense set. It lets every domain vector be approximated together with its image.

A densely defined operator that is not closable

Section titled “A densely defined operator that is not closable”

Density of the domain does not by itself imply closability. On 2\ell^2, let c00c_{00} be the finite sequences and define

Ax=(n=1nxn)e1,D(A)=c00.Ax = \left(\sum_{n=1}^{\infty}n x_n\right)e_1, \qquad \mathcal D(A)=c_{00}.

The sum is finite on this domain. For

x(n)=1nen,x^{(n)}=\frac1n e_n,

one has

x(n)0,Ax(n)=e1.x^{(n)}\longrightarrow0, \qquad Ax^{(n)}=e_1.

The sequence test fails, so AA is not closable. This example separates three questions that are often conflated: the rule is well defined on each domain vector, the domain is dense, but simultaneous graph limits still fail to define an operator.

Assume from now on that A:D(A)H1H2A:\mathcal D(A)\subset H_1\to H_2 has domain dense in H1H_1. For fixed ηH2\eta\in H_2, consider

Fη(ψ)=ηAψ,ψD(A).F_\eta(\psi)=\langle\eta|A\psi\rangle, \qquad \psi\in\mathcal D(A).

The vector η\eta belongs to D(A)\mathcal D(A^\dagger) exactly when there is a constant Cη<C_\eta<\infty such that

ηAψCηψH1for every ψD(A).|\langle\eta|A\psi\rangle| \leq C_\eta\|\psi\|_{H_1} \qquad \text{for every }\psi\in\mathcal D(A).

This estimate allows FηF_\eta to extend uniquely from the dense subspace D(A)\mathcal D(A) to a bounded linear functional on all of H1H_1. Riesz representation gives a unique wH1w\in H_1 with

ηAψ=wψfor every ψD(A),\langle\eta|A\psi\rangle = \langle w|\psi\rangle \qquad \text{for every }\psi\in\mathcal D(A),

and the definition is Aη=wA^\dagger\eta=w.

Density is what makes ww unique. If D(A)\mathcal D(A) were not dense in H1H_1, adding any vector in D(A)H1\mathcal D(A)^\perp\subset H_1 would give the same pairings. One can develop adjoint relations for nondense domains, but not the single-valued Hilbert-space adjoint used here.

Several structural facts now follow:

  • AA^\dagger is always closed;
  • if ABA\subset B, then BAB^\dagger\subset A^\dagger;
  • AA is closable exactly when D(A)\mathcal D(A^\dagger) is dense in H2H_2;
  • in that case, A=A\overline A=A^{\dagger\dagger} and (A)=A(\overline A)^\dagger=A^\dagger.

For example, closedness of AA^\dagger follows directly. If ηnη\eta_n\to\eta and AηnwA^\dagger\eta_n\to w, then for every ψD(A)\psi\in\mathcal D(A),

ηAψ=limnηnAψ=limnAηnψ=wψ.\begin{aligned} \langle\eta|A\psi\rangle &= \lim_{n\to\infty}\langle\eta_n|A\psi\rangle\\ &= \lim_{n\to\infty}\langle A^\dagger\eta_n|\psi\rangle = \langle w|\psi\rangle. \end{aligned}

Therefore ηD(A)\eta\in\mathcal D(A^\dagger) and Aη=wA^\dagger\eta=w.

The nonclosable example above makes the criterion concrete. A coefficient calculation gives

D(A)={y2:y1=0},Ay=0.\mathcal D(A^\dagger) = \{y\in\ell^2:y_1=0\}, \qquad A^\dagger y=0.

This codimension-one subspace is closed and not dense, exactly as the closability theorem predicts.

Symmetric is an inclusion, not an equality

Section titled “Symmetric is an inclusion, not an equality”

A densely defined endomorphism A:D(A)HHA:\mathcal D(A)\subset H\to H is symmetric when

ηAψ=Aηψfor all η,ψD(A).\langle\eta|A\psi\rangle = \langle A\eta|\psi\rangle \qquad \text{for all }\eta,\psi\in\mathcal D(A).

In operator notation, this is

AA.A\subset A^\dagger.

It implies that every densely defined symmetric operator is closable. It does not imply equality of domains. A self-adjoint operator satisfies the stronger condition

A=A,D(A)=D(A).A=A^\dagger, \qquad \mathcal D(A)=\mathcal D(A^\dagger).

The next page develops why this distinction controls extensions and unitary evolution. On the present page, the important lesson is already visible: checking a formal identity on D(A)\mathcal D(A) establishes at most the inclusion. The adjoint-domain calculation decides whether equality holds.

Multiplication gives a model closed operator

Section titled “Multiplication gives a model closed operator”

Let (X,μ)(X,\mu) be a measure space and let m:XCm:X\to\mathbb C be measurable and finite almost everywhere. Define the maximal multiplication operator on L2(X,μ)L^2(X,\mu) by

(Mmf)(x)=m(x)f(x),(M_m f)(x)=m(x)f(x),

with

D(Mm)={fL2(X,μ):mfL2(X,μ)}.\mathcal D(M_m) = \{f\in L^2(X,\mu):mf\in L^2(X,\mu)\}.

The functions

f(n)=1{mn}ff^{(n)}=\mathbf 1_{\{|m|\leq n\}}f

belong to D(Mm)\mathcal D(M_m) and converge to ff for every fL2f\in L^2, so the domain is dense. If hnhh_n\to h and mhngm h_n\to g in L2L^2, subsequences converge almost everywhere, so g=mhg=mh almost everywhere. Thus MmM_m is closed.

The adjoint is

Mm=Mm,D(Mm)=D(Mm).M_m^\dagger=M_{m^*}, \qquad \mathcal D(M_m^\dagger)=\mathcal D(M_{m^*}).

The inclusion follows from

gMmf=Mmgf.\langle g|M_mf\rangle = \langle M_{m^*}g|f\rangle.

For the reverse inclusion, testing on functions supported where m|m| is bounded forces the representing vector to equal mgm^*g and hence to lie in L2L^2. When mm is real almost everywhere, the maximal multiplication operator has equal operator and adjoint domains. When m(x)=xm(x)=x on L2(R)L^2(\mathbb R), it is nevertheless unbounded.

This example is a prototype for the spectral representation of a self-adjoint operator, but the general spectral theorem belongs to the later functional-calculus page.

Consider

P0=iddx,D(P0)=Cc(0,)L2(0,).P_0=-i\frac{d}{dx}, \qquad \mathcal D(P_0)=C_c^\infty(0,\ell) \subset L^2(0,\ell).

The domain is dense. For f,gCc(0,)f,g\in C_c^\infty(0,\ell), integration by parts gives

gP0fP0gf=i[g(x)f(x)]0=0.\langle g|P_0f\rangle -\langle P_0g|f\rangle = -i\,[g(x)^*f(x)]_{0}^{\ell} =0.

Therefore P0P_0 is symmetric and closable. To determine its adjoint, however, one must allow gg outside the test domain. The result is

D(P0)=H1(0,),P0g=ig,\begin{aligned} \mathcal D(P_0^\dagger)&=H^1(0,\ell),\\ P_0^\dagger g&=-ig', \end{aligned}

where gg' is the weak derivative. Indeed, the adjoint boundedness condition is precisely the distributional statement that gg has a weak derivative in L2L^2. The closure is

D(P0)=H01(0,),P0f=if.\begin{aligned} \mathcal D(\overline P_0)&=H_0^1(0,\ell),\\ \overline P_0f&=-if'. \end{aligned}

Here H01(0,)H_0^1(0,\ell) is the closure of Cc(0,)C_c^\infty(0,\ell) in the H1H^1 norm; in one dimension its elements have zero trace at both endpoints. Thus

P0P0P0,P_0\subset\overline P_0 \subset P_0^\dagger,

and all three operators use the same differential expression on different domains.

For arbitrary f,gH1(0,)f,g\in H^1(0,\ell), the boundary form is

gifigf=i[g(x)f(x)]0.\langle g|-if'\rangle -\langle-ig'|f\rangle = -i\,[g(x)^*f(x)]_0^\ell.

Periodic, phase-twisted, or endpoint conditions select different restrictions of the maximal derivative. Vanishing of this form on a proposed domain tests symmetry. It does not by itself prove equality with the adjoint domain. Classifying the self-adjoint restrictions is deliberately deferred to the next page.

The same warning applies to d2/dx2-d^2/dx^2. The Dirichlet domain

{fH2(0,):f(0)=f()=0}\{f\in H^2(0,\ell):f(0)=f(\ell)=0\}

and the Neumann domain

{fH2(0,):f(0)=f()=0}\{f\in H^2(0,\ell):f'(0)=f'(\ell)=0\}

define different operators, despite sharing the displayed differential expression.

Hamiltonians and differential operators: a free-field example

Section titled “Hamiltonians and differential operators: a free-field example”

For the page’s QFT-facing example, put a massive free scalar field in a spatial box with periodic boundary conditions. Let

ΛL=2πLZs,ωk=k2+m2,L>0,m>0,sN,s1.\Lambda_L=\frac{2\pi}{L}\mathbb Z^s, \qquad \omega_{\mathbf k} = \sqrt{|\mathbf k|^2+m^2}, \qquad L>0,\quad m>0,\quad s\in\mathbb N,\quad s\geq1.

Each momentum mode is a harmonic oscillator. Let Nfin\mathcal N_{\mathrm{fin}} be the set of occupation functions

n:ΛLN0\mathbf n:\Lambda_L\to\mathbb N_0

with finite support. The bosonic Fock space has an orthonormal occupation basis n|\mathbf n\rangle and can be represented as

F2(Nfin).\mathcal F \cong \ell^2(\mathcal N_{\mathrm{fin}}).

Begin on the algebraic span

Dfin=spanalg{n:nNfin}.\mathcal D_{\mathrm{fin}} = \operatorname{span}_{\mathrm{alg}} \{|\mathbf n\rangle:\mathbf n\in\mathcal N_{\mathrm{fin}}\}.

It is dense in F\mathcal F. Assign the vacuum zero excitation energy and initially define

H0,algn=Enn,En=kΛLωknk.H_{0,\mathrm{alg}}|\mathbf n\rangle = E_{\mathbf n}|\mathbf n\rangle, \qquad E_{\mathbf n} = \sum_{\mathbf k\in\Lambda_L} \omega_{\mathbf k}n_{\mathbf k}.

The sum in EnE_{\mathbf n} is finite for each basis vector. Yet the operator is unbounded: choose one-particle states with kj|\mathbf k_j|\to\infty. They have norm one while H0,alg1kj=ωkj\|H_{0,\mathrm{alg}}|\mathbf 1_{\mathbf k_j}\rangle\| =\omega_{\mathbf k_j}\to\infty.

The adjoint-domain definition now performs the essential completion. If

Ψ=ncnn,\Psi=\sum_{\mathbf n}c_{\mathbf n}|\mathbf n\rangle,

then the functional ΦΨH0,algΦ\Phi\mapsto\langle\Psi|H_{0,\mathrm{alg}}\Phi\rangle on Dfin\mathcal D_{\mathrm{fin}} is ambient-norm bounded exactly when

nEn2cn2<.\sum_{\mathbf n} E_{\mathbf n}^2|c_{\mathbf n}|^2<\infty.

Therefore

D(H0,alg)={ΨF:nEn2cn2<},H0,algΨ=nEncnn.\begin{aligned} \mathcal D(H_{0,\mathrm{alg}}^\dagger) &= \left\{ \Psi\in\mathcal F: \sum_{\mathbf n} E_{\mathbf n}^2|c_{\mathbf n}|^2<\infty \right\},\\ H_{0,\mathrm{alg}}^\dagger\Psi &= \sum_{\mathbf n} E_{\mathbf n}c_{\mathbf n}|\mathbf n\rangle. \end{aligned}

Write

H0:=H0,algH_0:=H_{0,\mathrm{alg}}^\dagger

for this maximal diagonal operator. It is closed because every adjoint is closed. Finite occupation-basis truncations converge in its graph norm because, for ΨD(H0)\Psi\in\mathcal D(H_0),

Ψ2+H0Ψ2=n(1+En2)cn2.\|\Psi\|^2+\|H_0\Psi\|^2 = \sum_{\mathbf n} (1+E_{\mathbf n}^2)|c_{\mathbf n}|^2.

Hence Dfin\mathcal D_{\mathrm{fin}} is a core for H0H_0, and

H0,alg=H0.\overline{H_{0,\mathrm{alg}}}=H_0.

The domain is proper. Choose distinct one-particle modes with ωkjj\omega_{\mathbf k_j}\geq j and set

Ψ=Cj=11j1kj,\Psi=C\sum_{j=1}^{\infty}\frac1j |\mathbf 1_{\mathbf k_j}\rangle,

where CC normalizes the vector. Then ΨF\Psi\in\mathcal F, but

j=1ωkj2Cj2C2j=11=.\sum_{j=1}^{\infty} \omega_{\mathbf k_j}^2\left|\frac Cj\right|^2 \geq |C|^2\sum_{j=1}^{\infty}1 =\infty.

Therefore ΨD(H0)\Psi\notin\mathcal D(H_0). A Hilbert-space state need not be in the Hamiltonian domain.

Only the excitation-energy diagonal operator is being analyzed here. The choice of representation, creation and annihilation operators, their common domains and canonical commutation relations, the additive vacuum-energy term, and its physical treatment belong to the Foundations page below. This example establishes neither a general interacting Hamiltonian nor a continuum construction of pointlike fields.

Canonical Quantization: Algebra, Representation, and State develops the canonical algebra, representation, vacuum, and free-field Hamiltonian. The present page supplies the domain-and-closure discipline needed for that treatment.

ConstructionInputOutputDecisive test
Restrictionan operator and a smaller domaina generally different operatoraction agrees on the smaller domain
Closednessone graphno enlargementsimultaneous input-output limits stay in the graph
Closurea closable graphthe smallest closed extensionno nonzero vertical graph limit
Corea subspace of a closed operator domaina reconstructing restrictiondensity in the graph norm
Adjointa densely defined operatora closed operator with a new domainψηAψ\psi\mapsto\langle\eta\mid A\psi\rangle is ambient-norm bounded
Symmetryone densely defined operatoran operator inclusionAAA\subset A^\dagger
Self-adjointnessan operator and its adjointexact equalityaction and domains both agree

The central dependencies can be summarized as

A densely definedA exists and is closed,A closableD(A)=H2,A closableA=A.\begin{gathered} A\text{ densely defined} \quad\Longrightarrow\quad A^\dagger\text{ exists and is closed},\\ A\text{ closable} \quad\Longleftrightarrow\quad \overline{\mathcal D(A^\dagger)}=H_2,\\ A\text{ closable} \quad\Longrightarrow\quad \overline A=A^{\dagger\dagger}. \end{gathered}

These statements do not say that every densely defined operator is closable, every closed operator is bounded, every symmetric operator is self-adjoint, or every formal product has a useful closure.

“Unbounded” means some output is infinite. Every AψA\psi is an element of the Hilbert space. Unboundedness means that the ratio Aψ/ψ\|A\psi\|/\|\psi\| has no finite uniform upper bound on the domain.

A dense test domain is automatically a core. Density in \|\cdot\| is not enough. A core must be dense in the graph norm, so both ψnψ\psi_n\to\psi and AψnAψA\psi_n\to A\psi are controlled.

The adjoint uses the same domain. The adjoint domain is derived from an ambient-norm boundedness condition. For the minimal derivative it is H1(0,)H^1(0,\ell), not Cc(0,)C_c^\infty(0,\ell).

Integration by parts proves self-adjointness. Vanishing boundary terms on the proposed domain proves symmetry. Self-adjointness also requires that the proposed domain equal the full adjoint domain.

A formal commutator is an operator identity on all states. Both products must first be defined. A calculation on a common invariant core remains a calculation on that core unless an extension theorem supplies more.

Domain comparison. Let Aen=nenA e_n=n e_n on c002c_{00}\subset\ell^2, and let NN be the maximal diagonal operator defined earlier. Are AA and NN the same operator?

Solution

No. They have the same action on c00c_{00} but different domains, so ANA\subset N. Finite truncations converge in the NN graph norm; therefore c00c_{00} is a core for NN and A=N\overline A=N. Equality holds only after taking the closure.

Closability test. On c00c_{00} define Ax=(nnxn)e1Ax=(\sum_n n x_n)e_1. Diagnose the obstruction to closure and compare it with the adjoint-domain criterion.

Solution

For x(n)=en/nx^{(n)}=e_n/n, one has x(n)0x^{(n)}\to0 but Ax(n)=e1↛0Ax^{(n)}=e_1\not\to0. Hence the graph closure contains the nonzero vertical vector (0,e1)(0,e_1) and is not the graph of an operator. Directly, D(A)={y:y1=0}\mathcal D(A^\dagger)=\{y:y_1=0\}, which is not dense. The sequence and adjoint criteria agree.

Boundary calculation. For P=id/dxP=-i\,d/dx on H1(0,)H^1(0,\ell), derive the boundary form. What does it prove on Cc(0,)C_c^\infty(0,\ell), and what does it not prove?

Solution

Integration by parts gives

gPfPgf=i[gf]0.\langle g|Pf\rangle-\langle Pg|f\rangle =-i[g^*f]_0^\ell.

The term vanishes for f,gCc(0,)f,g\in C_c^\infty(0,\ell), proving that the minimal operator is symmetric. It does not prove self-adjointness: its closure has domain H01(0,)H_0^1(0,\ell) while its adjoint has domain H1(0,)H^1(0,\ell).

Free-field transfer. Why can a normalized vector belong to Fock space but fail to belong to the domain of the free Hamiltonian?

Solution

Fock-space membership asks for ncn2<\sum_{\mathbf n}|c_{\mathbf n}|^2<\infty. Hamiltonian-domain membership asks for the stronger weighted condition nEn2cn2<\sum_{\mathbf n}E_{\mathbf n}^2|c_{\mathbf n}|^2<\infty. Coefficients can therefore be square-summable while their energy-weighted coefficients are not. The explicit one-particle series with coefficients 1/j1/j and energies at least jj gives such a vector.

Etingof 2023, §§8.2.2–8.2.5, pp. 102–107, PDF and Teschl 2014, §2.2, PDF give complementary treatments of domains, graphs, closures, adjoints, and the symmetric/self-adjoint distinction. The harmonic-oscillator and free-field application can be compared with Schwartz 2014, §§2.2–2.3.

Continue to Self-Adjointness, Extensions, and Unitary Evolution for boundary-form classifications, essential self-adjointness, deficiency indices, and Stone’s theorem. Continue to Spectra, Resolvents, Spectral Measures, and Functional Calculus for the resolvent set and spectral calculus of closed and self-adjoint operators.

  • Pavel Etingof, Mathematical Ideas and Notions of Quantum Field Theory, PDF, §§8.2.2–8.2.5, pp. 102–107, MIT OpenCourseWare lecture notes, 2023. These sections develop domains, graphs, closures, adjoints, boundary forms, and the symmetric/self-adjoint distinction. Its inner product is conjugate-linear in the first slot, matching the site convention.
  • Matthew D. Schwartz, Quantum Field Theory and the Standard Model, §§2.2–2.3, Cambridge University Press, 2014. These sections derive harmonic oscillators, free-field modes, the free Hamiltonian, and creation and annihilation operators. The author’s first-printing corrections were checked. The finite-volume occupation-basis realization and the explicit maximal-domain and core argument on this page are the controlled mathematical specialization added here; they do not claim a construction of an interacting theory.
  • Gerald Teschl, Mathematical Methods in Quantum Mechanics: With Applications to Schrödinger Operators, PDF, second edition, §2.2, American Mathematical Society, 2014. This is the structural source for operator inclusion, graph norms, adjoints, closability, double adjoints, the closed graph theorem, and the Hellinger–Toeplitz theorem. The author’s errata, PDF, updated March 18, 2026, were checked; in particular, this page does not use the unqualified closure-of-sums formula corrected there.