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PhyslibAlpha.AlgebraicFramework.HilbertSpace.Unbounded.SelfAdjointSpectralTheorem

The operator-to-spectrum interface

This is a purely Hilbert-space-level treatment: it deliberately omits the algebra-parametrized layer (`ConcreteAffiliatedObservable`, `RepresentedAffiliatedObservable`, `AffiliationBridge`, `FaithfulAffiliationBridge`, and the `SelfAdjointSpectralData`/`EssentialSelfAdjointSpectralData` endpoint), which is out of scope for this development.

Essential self-adjointness and closure

For a core operator `T`, essential self-adjointness is precisely the assertion that the canonical graph closure `T.closure` is self-adjoint. Keeping this as a small data structure (`SelfAdjointClosureData`) gives concrete constructions (the oscillator, multiplication operators, and later Schrödinger operators) one common entry point without smuggling a spectral measure into the definition.

The domain-aware boundary

`SelfAdjointSpectralTheorem` deliberately records only the weak identity-integral law (`IsWeakSpectralResolution`). That law is enough for matrix-element reconstruction on the given domain, but it does not say which vectors belong to the domain. The latter is the square-moment condition (`spectralSquareMomentDomain`) and must be stated separately before an equality of unbounded operators can be claimed; `DomainAwareSelfAdjointSpectralTheorem` records both.

Main definitions

- `SelfAdjointClosureData` : essential self-adjointness of a core, and the uniqueness of its self-adjoint closure. - `IsWeakSpectralResolution` : the weak matrix-element reconstruction law `⟪y, T x⟫ = ∫ λ dμS`. - `SelfAdjointSpectralTheorem` : self-adjointness plus weak reconstruction against a spectral measure, and its transport `unitaryConj` along a Hilbert-space unitary. - `DomainAwareSelfAdjointSpectralTheorem` : the same, plus the exact domain identification with the square-moment domain of the spectral measure; exposes the generated `expUnitaryGroup : StrongUnitaryOneParameterGroup H`.

Essential self-adjointness and closure

The closure is not an extra choice. For a core operator `T`, essential self-adjointness is precisely the assertion that the canonical graph closure `T.closure` is self-adjoint. Keeping this as a small data structure gives concrete constructions (the oscillator, multiplication operators, and later Schrödinger operators) one common entry point without smuggling a spectral measure into the definition.

The domain-aware boundary

`SelfAdjointSpectralTheorem` deliberately records only the weak identity-integral law. That law is enough for matrix-element reconstruction on the given domain, but it does not say which vectors belong to the domain. The latter is the square-moment condition and must be stated separately before we can claim an equality of unbounded operators.

21 declarations

theorem

The closure TclT_{\text{cl}} is self-adjoint

For a core operator TT that is essentially self-adjoint, its canonical graph closure TclT_{\text{cl}} is a self-adjoint operator.

theorem

The canonical closure TclT_{\text{cl}} is closed

For a core operator TT, its canonical graph closure TclT_{\text{cl}} is a closed operator.

theorem

TT is a sub-operator of its closure TclT_{\text{cl}}

For a core operator TT, the operator TT is a sub-operator of its canonical self-adjoint closure TclT_{\text{cl}}. Mathematically, this is expressed as T≤TclT \leq T_{\text{cl}}, meaning that the domain of TT is contained within the domain of TclT_{\text{cl}}, and for every vector xx in the domain of TT, the equality Tx=TclxTx = T_{\text{cl}}x holds.

theorem

Uniqueness of the self-adjoint extension: S=TclS = T_{\text{cl}}

Let HH be a complex Hilbert space and TT be a core operator such that its closure TclT_{\text{cl}} is self-adjoint (i.e., TT is essentially self-adjoint). If SS is a self-adjoint linear operator on HH that extends TT (denoted T≤ST \leq S), then SS must be equal to the canonical closure of TT, written as S=TclS = T_{\text{cl}}.

theorem

Von Neumann's criterion: TT is essentially self-adjoint if its defect numbers are zero

Let HH be a complex Hilbert space and TT be a densely defined symmetric linear operator on HH. If the defect numbers of TT at ii and −i-i are both zero, i.e., n+(T)=defectNumber(T,i)=0n_+(T) = \text{defectNumber}(T, i) = 0 and n−(T)=defectNumber(T,−i)=0n_-(T) = \text{defectNumber}(T, -i) = 0 then TT is essentially self-adjoint, meaning its graph closure is a self-adjoint operator.

theorem

A defect index certificate for TT implies TT is essentially self-adjoint

Let HH be a complex Hilbert space and TT be a linear operator on HH. If there exists a defect index certificate for TT (providing evidence that the defect indices of TT are zero), then TT is essentially self-adjoint, meaning its graph closure is a self-adjoint operator.

definition

Weak spectral resolution ⟨y,Tx⟩=∫λ d⟨y,μSx⟩\langle y, Tx \rangle = \int \lambda \, d\langle y, \mu_S x \rangle

For a linear operator TT on a Hilbert space HH and a weak operator topology (WOT) spectral measure μS\mu_S on R\mathbb{R}, the **weak spectral resolution** property holds if for every xx in the domain of TT, and for all y∈Hy \in H: 1. The identity function f(λ)=λf(\lambda) = \lambda is integrable with respect to the complex scalar measure S↦⟨y,μS(S)x⟩S \mapsto \langle y, \mu_S(S) x \rangle. 2. The inner product ⟨y,Tx⟩\langle y, Tx \rangle satisfies the weak matrix-element reconstruction law: ⟨y,Tx⟩=∫Rλ d⟨y,μS(λ)x⟩ \langle y, Tx \rangle = \int_{\mathbb{R}} \lambda \, d\langle y, \mu_S(\lambda) x \rangle

definition

Square-moment domain of a weak spectral measure μS\mu_S

Given a weak spectral measure μS\mu_S on R\mathbb{R} acting on a Hilbert space HH, the **square-moment domain** is the set of vectors x∈Hx \in H for which the function λ↦λ2\lambda \mapsto \lambda^2 is integrable with respect to the diagonal measure μx\mu_x associated with xx. Mathematically, xx belongs to this domain if and only if: ∫Rλ2dμx(λ)<∞ \int_{\mathbb{R}} \lambda^2 d\mu_x(\lambda) < \infty where μx\mu_x is the positive diagonal measure defined by μx(S)=⟨x,μS(S)x⟩\mu_x(S) = \langle x, \mu_S(S) x \rangle for measurable sets S⊆RS \subseteq \mathbb{R}. In the context of the spectral theorem, this set identifies the domain of the unbounded self-adjoint operator associated with the spectral measure.

theorem

x∈spectralSquareMomentDomain(μS)  ⟺  λ2x \in \text{spectralSquareMomentDomain}(\mu_S) \iff \lambda^2 is μx\mu_x-integrable

Let HH be a Hilbert space and μS\mu_S be a weak operator topology (WOT) spectral measure on R\mathbb{R} acting on HH. For any vector x∈Hx \in H, xx belongs to the square-moment domain of μS\mu_S if and only if the function f(λ)=λ2f(\lambda) = \lambda^2 is integrable with respect to the diagonal measure μx\mu_x. This is equivalent to the condition: ∫Rλ2 dμx(λ)<∞ \int_{\mathbb{R}} \lambda^2 \, d\mu_x(\lambda) < \infty where μx\mu_x is the positive measure defined by μx(S)=⟨x,μS(S)x⟩\mu_x(S) = \langle x, \mu_S(S) x \rangle for measurable sets S⊆RS \subseteq \mathbb{R}.

definition

μS\mu_S has bounded spectral support in [−C,C][-C, C]

A weak spectral measure μS\mu_S defined on R\mathbb{R} and acting on a Hilbert space HH has **bounded spectral support** with respect to a constant C∈RC \in \mathbb{R} if C≥0C \geq 0 and, for every measurable set S⊆RS \subseteq \mathbb{R}, if SS is disjoint from the closed interval [−C,C][-C, C], then the spectral measure of SS is zero (μS(S)=0\mu_S(S) = 0). This condition essentially states that the support of the spectral measure is contained within the compact interval [−C,C][-C, C], which implies that the associated self-adjoint operator is bounded.

theorem

The square-moment domain of a bounded-support spectral measure is the entire Hilbert space HH

Let HH be a Hilbert space and μS\mu_S be a weak operator topology (WOT) spectral measure on R\mathbb{R} acting on HH. If μS\mu_S has bounded spectral support contained in the interval [−C,C][-C, C] for some C∈RC \in \mathbb{R}, then the square-moment domain of μS\mu_S (the set of vectors x∈Hx \in H such that ∫Rλ2dμx(λ)<∞\int_{\mathbb{R}} \lambda^2 d\mu_x(\lambda) < \infty) is the entire Hilbert space HH.

theorem

Boundedly supported spectral measures imply the domain-aware spectral theorem

Let HH be a Hilbert space, TT an operator on HH, and μS\mu_S a spectral measure on R\mathbb{R}. Suppose that TT and μS\mu_S satisfy the weak spectral resolution (i.e., the matrix elements of TT are given by ⟨y,Tx⟩=∫Rλ dμy,x(λ)\langle y, T x \rangle = \int_{\mathbb{R}} \lambda \, d\mu_{y,x}(\lambda) for x∈dom(T)x \in \text{dom}(T)). If the domain of TT is the entire Hilbert space (dom(T)=H\text{dom}(T) = H) and μS\mu_S has bounded spectral support in some interval [−C,C][-C, C], then TT and μS\mu_S satisfy the domain-aware self-adjoint spectral theorem. This implies that the domain of TT is exactly the square-moment domain of the spectral measure μS\mu_S.

theorem

Self-adjointness of TT from the domain-aware spectral theorem

Let TT be an operator on a Hilbert space HH and μS\mu_S be a spectral measure on R\mathbb{R}. If TT and μS\mu_S satisfy the domain-aware self-adjoint spectral theorem, then TT is a self-adjoint operator.

theorem

The domain-aware spectral theorem implies the weak spectral resolution ⟨y,Tx⟩=∫λ d⟨y,μSx⟩\langle y, Tx \rangle = \int \lambda \, d\langle y, \mu_S x \rangle

Suppose a linear operator TT on a Hilbert space HH and a spectral measure μS\mu_S satisfy the domain-aware self-adjoint spectral theorem. Then TT and μS\mu_S satisfy the weak spectral resolution property. That is, for every xx in the domain of TT and for all y∈Hy \in H, the inner product ⟨y,Tx⟩\langle y, Tx \rangle is given by the integral of the identity function with respect to the complex measure ⟨y,μS(⋅)x⟩\langle y, \mu_S(\cdot) x \rangle: ⟨y,Tx⟩=∫Rλ d⟨y,μS(λ)x⟩ \langle y, Tx \rangle = \int_{\mathbb{R}} \lambda \, d\langle y, \mu_S(\lambda) x \rangle

theorem

The domain of TT is equivalent to the square-moment domain of its spectral measure μS\mu_S

Let HH be a Hilbert space, TT be an operator on HH, and μS\mu_S be a weak spectral measure on R\mathbb{R}. If TT and μS\mu_S satisfy the conditions of the domain-aware self-adjoint spectral theorem, then a vector x∈Hx \in H belongs to the domain of TT if and only if xx is in the square-moment domain of μS\mu_S. This condition is equivalent to the finiteness of the second spectral moment: x∈dom(T)  ⟺  ∫Rλ2dμx(λ)<∞ x \in \text{dom}(T) \iff \int_{\mathbb{R}} \lambda^2 d\mu_x(\lambda) < \infty where μx\mu_x is the positive diagonal measure defined by μx(B)=⟨x,μS(B)x⟩\mu_x(B) = \langle x, \mu_S(B) x \rangle for measurable sets B⊆RB \subseteq \mathbb{R}.

definition

Strongly continuous unitary group t↦eitTt \mapsto e^{itT} associated with a spectral theorem

Given a domain-aware self-adjoint spectral theorem DD for an operator TT and its spectral measure μS\mu_S on a Hilbert space HH, this definition constructs the strongly continuous one-parameter unitary group U:R→B(H)U: \mathbb{R} \to \mathcal{B}(H). For each t∈Rt \in \mathbb{R}, the unitary operator U(t)U(t) is defined via the spectral integral: U(t)=∫Reitλ dμS(λ) U(t) = \int_{\mathbb{R}} e^{it\lambda} \, d\mu_S(\lambda) This group represents the operator exponential eitTe^{itT}, where TT is the self-adjoint operator whose domain and action are characterized by μS\mu_S.

theorem

The unitary group eitTe^{itT} is the identity at t=0t=0

Let HH be a Hilbert space and TT be a self-adjoint operator with spectral measure μS\mu_S as characterized by a domain-aware spectral theorem. Let U(t)=eitTU(t) = e^{itT} be the strongly continuous one-parameter unitary group defined via the spectral integral U(t)=∫Reitλ dμS(λ)U(t) = \int_{\mathbb{R}} e^{it\lambda} \, d\mu_S(\lambda). Then, at t=0t = 0, the unitary operator is the identity operator, i.e., U(0)=IU(0) = I.

theorem

Group Law for the Unitary Group eitTe^{itT} (or ei(t+s)T=eitTeisTe^{i(t+s)T} = e^{itT} e^{isT})

Let TT be a self-adjoint operator on a Hilbert space HH with an associated spectral measure μS\mu_S. Let U(t)=eitTU(t) = e^{itT} be the strongly continuous one-parameter unitary group defined via the spectral theorem as U(t)=∫Reitλ dμS(λ)U(t) = \int_{\mathbb{R}} e^{it\lambda} \, d\mu_S(\lambda). For any real numbers tt and ss, the group satisfies the composition law: U(t+s)=U(t)U(s) U(t + s) = U(t) U(s)

theorem

Strong continuity of the one-parameter unitary group t↦eitTxt \mapsto e^{itT}x

Let HH be a complex Hilbert space, and let TT be a self-adjoint operator with associated spectral measure μS\mu_S. Let U(t)=eitTU(t) = e^{itT} be the one-parameter unitary group defined by the spectral integral U(t)=∫Reitλ dμS(λ)U(t) = \int_{\mathbb{R}} e^{it\lambda} \, d\mu_S(\lambda). For any vector x∈Hx \in H, the mapping t↦eitTxt \mapsto e^{itT}x from R\mathbb{R} to HH is continuous.

theorem

Unitary conjugation of the self-adjoint spectral theorem

Let HH and H′H' be complex Hilbert spaces. Suppose TT is a self-adjoint operator on HH with a weak spectral resolution μS\mu_S, such that they satisfy the properties recorded in a `SelfAdjointSpectralTheorem` (i.e., TT is self-adjoint and ⟨y,Tx⟩=∫λ d⟨y,μS(λ)x⟩\langle y, T x \rangle = \int \lambda \, d\langle y, \mu_S(\lambda) x \rangle for x∈dom(T)x \in \text{dom}(T)). Given a unitary operator u:H→H′u : H \to H', the unitarily conjugated operator uTu−1u T u^{-1} on H′H' and the unitarily conjugated spectral measure uμSu−1u \mu_S u^{-1} also satisfy the conditions of the self-adjoint spectral theorem.

theorem

Unitary conjugation preserves the domain-aware self-adjoint spectral theorem

Let HH and H′H' be complex Hilbert spaces and u:H→H′u: H \to H' be a unitary operator (an isometric isomorphism). Let TT be a partially defined linear operator on HH and μ\mu be a spectral measure. If TT and μ\mu satisfy the domain-aware self-adjoint spectral theorem—which entails that TT is self-adjoint, the weak integral identity ⟨y,Tx⟩=∫λ dμy,x(λ)\langle y, Tx \rangle = \int \lambda \, d\mu_{y,x}(\lambda) holds for all x∈dom(T)x \in \text{dom}(T), and the domain of TT coincides exactly with the square-moment domain of μ\mu—then the unitarily conjugated operator uTu−1u T u^{-1} and the unitarily conjugated spectral measure uμu−1u \mu u^{-1} also satisfy the domain-aware self-adjoint spectral theorem on H′H'.