PhyslibAlpha.ProbabilisticTheory.HilbertSpace.Unbounded.SelfAdjointSpectralTheorem
The spectral theorem, stated
i. Overview
An operator is essentially self-adjoint when its closure is self-adjoint; a self-adjoint extension is then unique. A spectral measure `μ` on `ℝ` resolves a self-adjoint operator `T` when `⟪y, T x⟫ = ∫ λ d⟪y, μ x⟫` for `x` in the domain of `T`, and it resolves `T` with its domain when in addition the domain of `T` is the set of vectors with `∫ λ² dμₓ < ∞`.
ii. Key results
- `SelfAdjointClosureData` : an operator with self-adjoint closure. - `IsWeakSpectralResolution` : `⟪y, T x⟫ = ∫ λ d⟪y, μ x⟫` on the domain of `T`. - `spectralSquareMomentDomain` : the vectors with finite second moment. - `DomainAwareSelfAdjointSpectralTheorem` : a spectral measure resolving a self-adjoint operator together with its domain.
iii. Table of contents
- A. Essential self-adjointness and closure - A.1. Spectral resolutions with domain
A. Essential self-adjointness and closure
An operator is essentially self-adjoint when its closure is self-adjoint.
A.1. Spectral resolutions with domain
A spectral resolution only describes the operator on its domain. Equality of unbounded operators also needs the domain to be the set of vectors of finite second moment.
21 declarations
The closure of an essentially self-adjoint operator is self-adjoint
Let be an essentially self-adjoint operator. Then its closure, denoted by , is a self-adjoint operator.
The closure of an essentially self-adjoint operator is closed
Let be a linear operator such that its closure is self-adjoint (i.e., is essentially self-adjoint). Then the closure is a closed operator.
for essentially self-adjoint operators
Let be a linear operator such that its closure is self-adjoint. Then , which means that the domain of is contained in the domain of its closure , and the two operators coincide on the domain of .
The unique self-adjoint extension of an essentially self-adjoint operator is its closure
Let be a complex Hilbert space and be a linear operator on such that its closure is self-adjoint (i.e., is essentially self-adjoint). If is any self-adjoint extension of (denoted , meaning and restricted to equals ), then .
Zero Defect Numbers at imply Essential Self-Adjointness
Let be a complex Hilbert space and be a densely defined symmetric linear operator on . If the defect numbers of at and are both zero—that is, and —then is essentially self-adjoint, meaning its closure is a self-adjoint operator. This result represents the von Neumann defect-number criterion for essential self-adjointness.
A defect index certificate for implies self-adjoint closure data for
Let be a complex Hilbert space and be a linear operator on . If there exists a defect index certificate for , then possesses self-adjoint closure data, which implies that the closure of is a self-adjoint operator.
Weak spectral resolution
For a linear operator on a complex Hilbert space and a spectral measure on , this property states that is a weak spectral resolution of . Specifically, for every in the domain of , the identity function must be integrable with respect to the complex measure (defined as ) for all , and the following relation must hold:
Domain of finite second moment
Given a spectral measure on acting on a Hilbert space , the set consists of all vectors for which the second moment with respect to the spectral measure is finite. Specifically, a vector is in this set if the function is integrable with respect to the scalar measure defined by . In integral notation, this is the set of such that This set defines the natural domain of the self-adjoint operator associated with the spectral measure.
Let be a Hilbert space and be a spectral measure on acting on . For any vector , belongs to the domain of finite second moment of (denoted as `spectralSquareMomentDomain μ`) if and only if the function is integrable with respect to the diagonal measure (defined as ). In other words, is in the domain if and only if
Spectral measure is supported on
Given a spectral measure on acting on a Hilbert space and a real number , this property states that the support of the spectral measure is contained within the closed interval . Specifically, for every measurable set , if is disjoint from , then the spectral measure of is zero, i.e., .
Bounded Spectral Support Implies the Domain of Finite Second Moment is the Entire Space
Let be a Hilbert space and be a spectral measure on acting on . If the spectral measure has bounded support contained within the interval for some , then its domain of finite second moment (the set of vectors such that ) is the entire Hilbert space .
Bounded Spectral Support and Full Domain imply Domain-Aware Spectral Resolution
Let be a Hilbert space and be a linear operator on with domain . Suppose is a spectral measure on that resolves , meaning that for all and , the identity holds. If the domain of is the entire Hilbert space () and the support of is bounded (contained in some interval for ), then provides a domain-aware spectral resolution for . This implies that the domain of is exactly the set of vectors with finite second moment, i.e., .
Domain-aware spectral resolution implies is self-adjoint
Let be a Hilbert space and be an operator acting on . If is a spectral measure that provides a domain-aware spectral resolution for (meaning is represented by the integral and its domain coincides with the set of vectors of finite second moment), then is a self-adjoint operator.
Weak Spectral Reconstruction from Domain-Aware Spectral Theorem
If is a linear operator on a complex Hilbert space and is a spectral measure on that provides a domain-aware spectral resolution for , then is a weak spectral resolution of . Specifically, for every vector in the domain of and every vector , the identity function is integrable with respect to the complex measure (defined by ), and the following identity holds:
if and only if
Let be a Hilbert space, be an operator on , and be a spectral measure on that resolves . For a spectral resolution that accounts for the operator's domain (represented by `DomainAwareSelfAdjointSpectralTheorem`), a vector belongs to the domain of if and only if the second spectral moment of with respect to is finite. That is,
Strongly continuous unitary group from the spectral theorem
Given a domain-aware spectral resolution for a self-adjoint operator with associated spectral measure on a Hilbert space , this definition constructs the strongly continuous one-parameter unitary group . For each , the operator is defined via the spectral integral: This construction provides the unitary group associated with the operator as described by Stone's theorem, satisfying the group properties and .
The unitary group satisfies
Let be a self-adjoint operator on a Hilbert space with an associated spectral measure provided by a domain-aware spectral resolution. Let be the strongly continuous one-parameter unitary group associated with (often denoted ). Then, at , the operator is the identity operator, i.e., .
Group property of the unitary group :
Given a domain-aware spectral resolution for a self-adjoint operator with associated spectral measure on a Hilbert space , let be the strongly continuous one-parameter unitary group defined by the spectral integral Then for any , the group law holds:
Strong Continuity of the Unitary Group
Let be a complex Hilbert space and a self-adjoint operator with a domain-aware spectral resolution provided by the spectral measure on . Let be the one-parameter unitary group defined by the spectral integral For any vector , the map is continuous from to .
Unitary Conjugation of a Spectral Resolution
Let and be complex Hilbert spaces. Suppose is a self-adjoint operator on with a spectral resolution given by a spectral measure on . Let be a unitary operator (a linear isometric equivalence). Then, the unitarily conjugated operator on is resolved by the unitarily conjugated spectral measure . This theorem allows for transporting a spectral resolution from one operator to any unitarily equivalent operator.
Unitary Equivariance of the Domain-Aware Spectral Theorem
Let and be complex Hilbert spaces. Let be a partially defined linear operator on and be a spectral measure on . Suppose that provides a domain-aware spectral resolution of , meaning that for all in the domain of and all , the relation holds, and the domain of is precisely the set of vectors for which the second moment is finite: . Given a unitary operator , then the unitarily conjugated spectral measure provides a domain-aware spectral resolution for the unitarily conjugated operator . This implies that the conjugation preserves both the weak spectral integral representation and the characterization of the operator's domain via the square-moment of the spectral measure.
