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Unbounded Self Adjoint Operators and Stones Theorem — Examples
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- Absolute Continuity and the Sharp Fundamental Theorem of Calculus
- Analyticity of Holomorphic Functions; Liouville and Morera
- Approximation and Compactness in C(K)
- Arc Length and Rectifiable Curves
- Areas of Elementary Plane Figures
- Banach Alaoglu Goldstine and Krein Milman
- Banach Algebras Spectrum and Holomorphic Functional Calculus
- Banach Valued Integration and the Radon Nikodym Property
- Binary Operations, Monoids, Groups and Subgroups
- Bounded Linear Operators and Quotient Spaces
- Bounded Variation and the Riemann–Stieltjes Integral
- Cardinal Arithmetic, Cofinality and the Alephs
- Compact Operators and Riesz Schauder Theory
- Compactness
- Compactness in Metric Spaces
- Completeness, Completion, and Uniform Continuity
- Complex Differentiability and the Cauchy–Riemann Equations
- Complex Lp Spaces and Test-Function Conventions
- Complex Power Series and Analytic Functions
- Connectedness
- Construction of the Natural Numbers
- Construction of the Real Numbers via Cauchy Sequences
- Construction of the Real Numbers via Dedekind Cuts
- Continuity, IVT, EVT, and Uniform Continuity
- Continuous Functional Calculus for Self Adjoint and Normal Operators
- Contour Integration
- Convergence: Nets and Filters
- Cosets, Index and Lagrange's Theorem
- Countability and Uncountability
- Countability Axioms and Cardinal Functions
- Density Separability and Convolution in Lᵖ
- Determinants of Matrices over a Commutative Ring
- Differentiation of Monotone Functions and the Vitali Covering Theorem
- Divisibility, Euclidean Domains, Principal Ideal Domains and Unique Factorisation
- Dual Spaces Adjoint Operators and Annihilators
- Dual Spaces, Bilinear and Quadratic Forms, and Sylvester's Law of Inertia
- Filters and Ultrafilters
- Finite Counting, Factorials and Binomial Coefficients
- Foundations of the Real Numbers for Analysis
- Fubini and Change of Variables
- Function Space Topologies and the Exponential Law
- Fundamental Trigonometric Identities
- Gaussian Elimination, Elementary Matrices and Reduced Row Echelon Form
- Gelfand Theory and Commutative C Star Algebras
- Goursat's Theorem and Cauchy's Theorem in a Convex Domain
- Group Actions, Orbits, Stabilisers and Cayley's Theorem
- Hausdorff via the Diagonal
- Hilbert Space Geometry and Riesz Representation
- Ideals, Quotient Rings and the Isomorphism Theorems for Rings
- Inner Product Spaces, Gram-Schmidt, Projections and Adjoints
- Lebesgue Measure on Euclidean Space
- Limits of Real Functions
- limsup, liminf, and Subsequential Limits
- Line Integrals and the Gradient Theorem
- Linear Independence, Bases and Dimension
- Linear Transformations, Rank-Nullity and Quotient Spaces
- Matrices, the Matrix of a Linear Map, and Change of Basis
- Measurable Functions and Simple Approximation
- Measures and Their Basic Properties
- Metric Spaces
- Mixed Partials, Taylor Formulae, and Extrema
- Modes of Convergence Egorov and Lusin
- Monotone Functions, Discontinuities, and Continuity Sets
- Monotone Sequences, Bolzano-Weierstrass, and Cauchy Completeness
- Normal Subgroups and Quotient Groups
- Normed and Banach Spaces
- Norming and Separation under Hahn–Banach
- Order, Zorn's Lemma, and the Axiom of Choice
- Ordinal Arithmetic and the First Uncountable Ordinal
- Ordinals, Cardinals, and Transfinite Recursion
- Orthonormal Bases, Parseval and Fourier Series
- Outer Measure and the Caratheodory Extension Theorem
- Partitions of Unity and Paracompactness
- pi: the Equivalent Characterizations
- Polynomial Rings, the Division Algorithm and Roots
- Power Series and Real-Analytic Functions
- Product Measures and the Fubini Tonelli Theorems
- Properties of the Integral and the Working FTC
- Radon Measures and the Riesz Markov Kakutani Theorem
- Relations, Functions, and Quotients
- Rings, Subrings, Integral Domains and Fields
- Rⁿ as a Normed Space; Vector-Valued Functions
- Roots, Rational Powers, and Classical Inequalities
- Separation Axioms: the Hierarchy
- Sequences and Limits
- Sequences and Series of Functions; Uniform Convergence
- Series: Convergence and the Nonnegative Tests
- Sigma Algebras and Borel Sets
- Signed and Complex Measures Hahn and Jordan
- Simple Field Extensions and the Construction of the Complex Numbers
- Sine, Cosine, and the Definition of Pi
- Spectral Measures and Borel Functional Calculus
- Stone–Weierstrass in General
- Subspaces, Products, and Quotients
- Suprema and Infima
- Symmetric Groups, Cycle Decomposition and the Sign Homomorphism
- The Analytic Hahn Banach Theorem
- The Baire Principles of Functional Analysis
- The Cantor Set, Baire Category, and Measure Zero in ℝ
- The Complex Exponential and Euler's Formula
- The Derivative and the Mean Value Theorems
- The Exponential Function
- The Fundamental Theorems of Calculus
- The Inverse and Implicit Function Theorems
- The Lebesgue and Riemann Integrals Compared
- The Lebesgue Integral and the Convergence Theorems
- The Logarithm and General Powers
- The Lᵖ Spaces Holder Minkowski and Riesz Fischer
- The Maximal Function and Lebesgue Differentiation
- The Radon Nikodym Theorem and Lebesgue Decomposition
- The Riemann Integral in Rᵐ and Jordan Content
- The Riemann Integral: Definition and Integrability
- The Topology of Euclidean Space
- The Total Derivative in ℝᵐ → ℝⁿ
- The ZFC Axioms and the Basic Set Constructions
- Topological Spaces and Continuity
- Topology of ℝ
- Triangularisation, Generalised Eigenspaces and Jordan Canonical Form
- Unbounded Self Adjoint Operators and Stones Theorem
- Urysohn's Lemma and the Tietze Extension Theorem
- Vector Spaces, Linear Subspaces, Span and Direct Sums
2 · Summary
The companion computes the unbounded theory on its basic models and exhibits the three boundary phenomena the main page must not gloss over.
The multiplication operator on of a sigma-finite space, with domain , is proved self-adjoint, with spectral projections , calculus and spectrum the essential range of ; specialising to , gives the position operator, with , proper dense domain, and the unitary group generated by . The periodic derivative on the domain is proved self-adjoint by an explicit solution of , and its unitary group is identified with the translation family , whose generator is exactly on .
On the counterexample side, the minimal derivative has deficiency indices with , and its self-adjoint extensions are computed as the boundary conditions with , the one-parameter family promised by the von Neumann parameterization; an everywhere-defined closed operator on a Banach space is bounded by the closed graph theorem, so a self-adjoint unbounded operator never has domain ; and the group is strongly continuous but satisfies for every , so strong continuity does not upgrade to norm continuity when the generator is unbounded. The closing remark records the extension interface of the main page and warns that equal deficiency dimensions alone do not exhibit a unitary.
3 · Logical flowchart
4 · Definitions, theorems and proofs
None yet.
5 · Examples, counterexamples and false statements
Multiplication operators: domain, spectral measure and spectrum
Example
Assume the Axiom of Choice. Let be a -finite measure space, let be measurable and finite -almost everywhere, and on the Hilbert space (The space as the quotient by null functions) put Then is self-adjoint; its spectral projection valued measure is ; for every Borel its functional calculus is on the natural domain; and equals the essential range for every .
Facts & Assumptions
Complex consists of almost-everywhere equivalence classes and is a Hilbert space under Countable Choice, with (The space as the quotient by null functions, with the integral pairing is a Hilbert space). AC is assumed, in particular for the spectral theorem and its Countable Choice suppliers (The Axiom of Choice).
Dominated convergence holds under an integrable majorant, and nonnegative measurable functions may be integrated by monotone convergence of increasing simple approximations (Dominated convergence, Monotone convergence for the integral, Every nonnegative measurable function is the increasing limit of simple measurable functions).
A PVM has orthogonal projection values, multiplicative intersections, normalization and strong countable additivity. It is regular when every scalar measure is regular (Projection valued measure). Every compact-finite Borel measure on a second-countable LCH space is regular (Locally finite Borel measures on second-countable LCH spaces are regular). The real line has a countable rational-interval base and compact closed bounded intervals ( is countably infinite, Both and are dense in , and every nonempty open subset of is uncountable, Heine-Borel by bisection: every closed bounded interval is compact).
For a PVM on nonzero , the bounded integral is the operator-norm limit of integrals of uniformly approximating complex simple functions, is linear and multiplicative, and obeys the quadratic identity (Bounded borel pvm integral, Pvm integral is a star homomorphism). A simple function in disjoint normal form integrates as the corresponding finite sum of projections (Integral of a simple function against a pvm). The unbounded integral is defined by squared-integrability and truncation, including an explicit zero-space case (Integral of a measurable function against a projection-valued measure).
Under AC, a regular PVM on the real line represents a self-adjoint operator by the integral of the identity function, with its squared-integrability domain; for nonzero the spectral PVM of a self-adjoint operator is unique (Spectral theorem for unbounded self-adjoint operators (PVM form)). Its calculus is integration against that PVM and its spectrum is its essential range, with the zero-space case supplied directly (Unbounded Borel functional calculus: domains, products, spectral mapping).
Verification
Given: The sigma-finite measure space and real-valued measurable multiplier in the example.
Multiplication by is well defined on null classes: two representatives that agree off a null set have products agreeing there, and the squared-integrability condition is unchanged. It is linear on its domain, since . For , belongs to the domain and tends to in by domination by , so the domain is dense. All multiplications and norms below use the complex Hilbert structure in [A1].
A bounded measurable multiplier gives a bounded operator with . Define for Borel . It is idempotent and self-adjoint by the integral pairing in [A1]. Preimages show normalization and multiplicativity. For disjoint Borel , the difference between and its first summands has squared norm the integral of over the remaining preimages, tending to zero by dominated convergence. Thus is a PVM.
If , sigma-finiteness forces : otherwise some finite-measure set in a countable finite-measure cover would have positive measure, and its indicator would be a nonzero vector. All operators then have full zero-space domain and zero action, and the spectrum and essential range are empty; [A4] and [A5] give the direct zero-space conventions. All claims follow in this case. Henceforth assume before using the bounded calculus or spectral uniqueness in [A4]–[A5].
Its scalar measure is , a finite Borel measure of mass . The real line is Hausdorff (disjoint small intervals separate distinct points), locally compact by compact closed bounded intervals, and second-countable by the rational base in [A3]. Therefore the regularity theorem in [A3] applies to every : is regular. Moreover, for any nonnegative Borel , . This holds first for indicators by the displayed scalar measure, then finite nonnegative simple sums, then all nonnegative Borel functions by increasing simple approximation and monotone convergence.
For a complex Borel simple function on , complete its disjoint representation with the zero-coefficient complement. By [A4], its integral against is multiplication by . Given bounded Borel , partition a square containing its complex range into finitely many Borel cells of diameter tending to zero, taking a fixed corner as each coefficient; these give complex simple with . The multiplier norm bound from step 1.2 and the operator-norm approximation in [A4] imply .
For arbitrary Borel , step 2.1 with identifies the domain of with . Its bounded truncations act by by step 2.2, and these tend in to by dominated convergence. In particular equals with exactly the stated domain. Regularity proved in step 2.1 licenses the converse spectral theorem in [A5], so is self-adjoint and is its spectral PVM, unique among regular representing PVMs. Thus the calculation for general is indeed its functional calculus.
For any measurable set , the indicator multiplier vanishes if . Conversely, let be a countable cover by finite-measure sets. If , some has positive finite measure, since a countable union of null sets is null. Then is a nonzero vector fixed by that multiplier. Therefore exactly when . Apply the spectral essential-range formula in [A5] to the identity function: this gives precisely the stated real essential range of . Nonreal points are outside that range since the PVM is on the real line. This completes the domain, self-adjointness, spectral measure, calculus and spectrum claims.
Position operator on L^2(R)
Example
Assume the Axiom of Choice. On let be the multiplication operator by the coordinate function , with domain . Then is self-adjoint with , its spectral PVM is , and defines a strongly continuous unitary group whose generator is ; in particular is a proper dense subspace of .
Facts & Assumptions
On a -finite measure space , for a real measurable multiplier that is finite almost everywhere, the multiplication-operator example gives the domain, self-adjointness, spectral PVM , functional calculus and essential-range spectrum formula on (Multiplication operators: domain, spectral measure and spectrum).
A self-adjoint operator generates the strongly continuous unitary group computed by the Borel calculus, with generator and derivative domain (A self-adjoint operator generates a strongly continuous unitary group, Strongly continuous one-parameter unitary group).
Verification
Given: and the multiplication operator by .
is the multiplication operator of the previous example for the measure space and : the domain, the self-adjointness, the spectral PVM and the calculus are those results.
The essential range of is , since every interval has positive Lebesgue measure, so .
By the generation theorem applied to the self-adjoint operator , the formula is a strongly continuous unitary group with generator , and the calculus of [A1] identifies .
is proper and dense: it is dense by the previous example, and the function for , extended by on , lies in but not in , because diverges.
The claims are steps 1.1, 1.2, 1.3 and 1.4. ∎
Periodic derivative and its unitary translation group
Example
Assume the Axiom of Choice. Use the complex Hilbert space with first-variable-linear inner product. Let Complex absolute continuity is read componentwise; the continuous representative is unique, so endpoint values are unambiguous. Then is self-adjoint, and defines a strongly continuous unitary group on equivalence classes. Its infinitesimal generator is , with ; equivalently . The self-adjoint Stone operator is , whereas the derivative generator is .
Facts & Assumptions
Given: Full AC, H and P as in the Example.
The minimal derivative operator T with both endpoint values zero is densely defined on H. Its domain lies in D(P). Its counterexample also proves uniqueness of the absolutely continuous representative in each class and the componentwise complex integration-by-parts formula . In particular for f in D(T), for absolutely continuous g with derivative in . A symmetric closed operator that is not self-adjoint Absolute continuity on a compact interval Integration by parts for absolutely continuous functions
A densely defined symmetric operator with both ranges ran(P+i)=ran(P-i)=H is self-adjoint. A self-adjoint operator has no proper symmetric extension. The latter is a maximality statement about a self-adjoint smaller operator, not about an arbitrary symmetric restriction of a self-adjoint operator. Range criterion for self-adjointness Symmetric, self-adjoint and essentially self-adjoint operators
Under full AC, Stone's theorem identifies a strongly continuous unitary group with e^{itS} for a unique self-adjoint S; its derivative generator G has D(G)=D(S) and G=iS. Stone's theorem: unitary groups and self-adjoint generators Infinitesimal generator of a unitary group Strongly continuous one-parameter unitary group
An L1 indefinite integral is absolutely continuous and has the integrand as derivative almost everywhere; an absolutely continuous function equals its initial value plus the integral of its derivative. These statements apply componentwise to complex functions. The indefinite integral of an function is absolutely continuous The indefinite integral of an function is differentiable almost everywhere Fundamental theorem of calculus for absolutely continuous functions
The complex pairing is first-variable-linear and satisfies Cauchy--Schwarz. Changes of variable by translations preserve Lebesgue integrals. Tonelli interchanges nonnegative integrals. A continuous function on a compact real interval is uniformly continuous. The complex pairing is well-defined and satisfies Cauchy–Schwarz A C^1 diffeomorphism satisfies the change-of-variables formula for L^1 functions Tonelli's theorem for nonnegative measurable functions on a sigma-finite product Heine-Cantor in : a continuous real function on a compact subset of is uniformly continuous, proved -natively from sequential compactness
Full AC is assumed for Stone's theorem and supplies the Countable Choice and Dependent Choice required by the calculus, density, range and compactness interfaces. The Axiom of Choice
Verification
The domain is linear and its representatives and derivatives are well defined by [A1]. Since D(T) is dense and contained in D(P), P is densely defined. For periodic f,g in D(P), integration by parts and the first-variable convention give Periodicity of both endpoints cancels the boundary term. Thus P is symmetric.
For real t let r be its representative in [0,1) modulo integers. Splitting the x integral at 1-r and translating on the two intervals gives Endpoints have measure zero. The same computation for indicators of null sets proves independence of the measurable representative; periodic extension from a Lebesgue-measurable representative is measurable, and translations preserve null modifications. V(t) is linear, V(0)=I and V(s)V(t)=V(s+t) on classes by addition modulo 1. Its inverse is V(-t), so it is unitary.
Let and . Cauchy--Schwarz gives . Put The denominator is nonzero for either sign. By [A4], u is absolutely continuous and almost everywhere. For completeness, the product with the smooth exponential is absolutely continuous: the integral factor is bounded and absolutely continuous, the exponential is bounded with bounded derivative, and the increment product formula verifies the defining AC estimates. Thus u is bounded, belongs to , and u' belongs to . The displayed constant gives . Finally , so . Both shifts are onto; [A2] and step 1.1 make P self-adjoint.
Every f in D(T) has a continuous periodic extension. Its restriction to [-1,2] is uniformly continuous by [A5]; hence as t tends to zero through either sign. Given arbitrary f in H and eta>0 choose g in D(T) with by [A1]. Isometry gives . First send t to zero and then eta to zero. The group law and isometry transfer continuity to every real time. Thus V is a strongly continuous unitary group.
For f in D(P), its periodic extension is absolutely continuous on every compact interval: finitely many translates of the AC representative join with matching endpoint values, and the AC estimates combine across finitely many joins. Its a.e. derivative is the periodic extension of f'. By [A4], for positive or negative t, in the scalar pointwise integral sense for almost every x. Let J_t be the interval between 0 and t. Cauchy--Schwarz in s and Tonelli yield by step 2.2 applied to the class f'. For joint measurability use the explicit periodic Borel representative of f' obtained as the finite limit of , assigning zero where no finite limit exists. Each difference quotient is continuous, its finite-convergence set is Borel by the countable Cauchy criterion, and the limit equals f' wherever f is differentiable. Composition with addition modulo 1 is jointly Borel. Since the representative differs from f' only on a null set, translation invariance and Tonelli leave the displayed estimates unchanged. Consequently D(P) is contained in D(G) and Gf=f'=iPf.
By [A3], S=-iG is self-adjoint. Step 3.1 gives P contained in S, with equal values on D(P). P is itself self-adjoint by step 2.1, so [A2]'s maximality applies to P and its symmetric extension S, and gives P=S. Equivalently the adjoint inclusions read . Thus D(G)=D(P), G=iP and Stone's uniqueness gives .
The zero function and every constant function are in D(P); constants are fixed by V and annihilated by P and G. V(0)=I, integer translations are I, and negative times are included in both the group and derivative calculations. No division by t occurs at t=0, only a two-sided limit, and neither nor vanishes. Endpoint values belong to the unique AC representative, while the translation action belongs to classes. Full AC has the uses in [A6]; the two resolvent solutions and the translation are explicit.
The minimal derivative has deficiency indices (1,1) and many self-adjoint extensions
Statement refuted
Assume the Axiom of Choice (and hence Countable Choice and Dependent Choice). Let be the minimal operator of A symmetric closed operator that is not self-adjoint, that is on in . Then is a closed symmetric operator with : and . Consequently is not self-adjoint but has infinitely many self-adjoint extensions, and these are exactly the operators
Facts & Assumptions
The minimal operator is densely defined, closed and symmetric but not self-adjoint, and with (A symmetric closed operator that is not self-adjoint).
Self-adjoint extensions of a closed symmetric operator correspond bijectively to unitary operators , with domain and action (Von Neumann parameterization of self-adjoint extensions, Deficiency subspaces and deficiency indices).
A closed symmetric operator has a self-adjoint extension if and only if its deficiency indices agree; its extensions are indexed by the unitaries between the deficiency subspaces (Existence of self-adjoint extensions is equality of deficiency indices).
Counterexample
Given: The minimal operator on .
By A symmetric closed operator that is not self-adjoint, is densely defined, closed, symmetric and not self-adjoint, and with .
and : the equations and read and .
Hence and ; by the von Neumann parameterization the self-adjoint extensions of correspond bijectively to the unitaries , that is, to the numbers with and .
Domains: by the parameterization, . For the element is with , so its endpoint values are at and at ; hence consists exactly of the absolutely continuous with and , where .
In particular there are infinitely many self-adjoint extensions, so is not self-adjoint; the case of equal to a suitable value reproduces the periodic operator of Periodic derivative and its unitary translation group.
The map is a bijection from onto the unit circle: for one computes , and for the formula inverts it and satisfies .
Therefore the self-adjoint extensions of are exactly the operators of the statement, one for each on the unit circle; itself is not among them because it is not self-adjoint.
An everywhere-defined closed operator on a Banach space is bounded
Statement refuted
Assume Dependent Choice. The inference that a closed linear operator defined on all of a Banach space can nevertheless be unbounded is false. Indeed, if are Banach spaces and is linear, defined on all of , and has closed graph in , then is bounded. Consequently an unbounded self-adjoint operator on a Hilbert space cannot have domain : its domain is a proper dense subspace.
Facts & Assumptions
Under Dependent Choice, an everywhere defined linear map between Banach spaces is bounded if and only if its graph is closed (Closed graph theorem, The axiom of dependent choice: a relation in which every element is related to something admits an -indexed chain).
A self-adjoint operator is densely defined and closed, being equal to the adjoint of a densely defined operator (Symmetric, self-adjoint and essentially self-adjoint operators, The adjoint is well defined, closed, and reverses inclusions, Unbounded linear operators: domain, graph and extension).
A Hilbert space is a Banach space, so the closed graph theorem applies to everywhere defined operators on it (Hilbert space, Closed graph theorem).
Counterexample
Given: Banach spaces and an everywhere defined linear with closed graph.
The closed graph theorem gives that is bounded: an everywhere defined linear map between Banach spaces with closed graph is bounded.
Let be a Hilbert space and let be a self-adjoint operator on . A self-adjoint operator is closed, being equal to the adjoint of a densely defined operator; if in addition , then step 1.1 applied to shows that is bounded.
Therefore a self-adjoint operator that is unbounded must have , and its domain is dense by the definition of self-adjointness; the claimed impossibility of an unbounded everywhere-defined self-adjoint operator follows.
Both conclusions are steps 1.1 and 2.1, and the hypothesis used is exactly Dependent Choice, through the closed graph theorem. ∎
A strongly continuous unitary group need not be norm continuous
Statement refuted
Assume the Axiom of Choice. On let . Then is a strongly continuous one-parameter unitary group that is not norm continuous: for every . Its generator is , where is the position operator, and no strongly continuous semigroup that is norm continuous at zero has an unbounded generator; since is unbounded, norm continuity fails, confirming the computation below. Here a strongly continuous semigroup on a real or complex Banach space means bounded linear maps for with , and continuous orbit maps; its generator is , on exactly the vectors where this norm limit exists.
Facts & Assumptions
A family with , and unitary values is a strongly continuous unitary group exactly when the orbit maps are continuous; for functions, continuity follows from dominated convergence (Strongly continuous one-parameter unitary group, Dominated convergence).
For the position operator the spectral PVM is , so by the functional calculus (Position operator on L^2(R)).
The group generated by a self-adjoint has generator (A self-adjoint operator generates a strongly continuous unitary group).
The operator norm is the supremum over the unit ball, and ; hence by applying these bounds successively (The operator norm as the least bound and as the unit-sphere or unit-ball supremum).
If is Banach then is complete in operator norm (If (Y) is Banach then (\mathcal B(X,Y)) is Banach). The bounded-generator assertion will be proved below, rather than assumed from the group definition.
The stated AC assumption is inherited through the position-operator and spectral-generation suppliers (The Axiom of Choice).
Counterexample
Given: and .
Multiplication by is well defined on almost-everywhere classes, preserves the norm, and has inverse multiplication by . The scalar exponential identities give and , so is a unitary group.
By the position-operator example , and by the generation lemma its generator is on . These are the uses of AC inherited in [A6]. For positive integers , has norm one, belongs to , and satisfies . Thus this generator is unbounded.
For , gives . At the absolute value equals . Given , continuity supplies such that it exceeds on the finite interval . The vector has norm one and its image under has norm at least . Letting proves . At the norm is zero.
To prove the general assertion, let be a semigroup on a Banach space as defined in the statement, with as . If its generator is the zero operator on all of . Otherwise choose so that for . For , write with and ; the semigroup law gives . Consequently, for , . Thus is uniformly continuous in operator norm on every compact time interval.
For each , by dominated convergence, with majorant . This applies along every sequence , hence gives continuity at zero. The group law and isometry give , proving continuity at every .
On a compact interval define the operator integral of by tagged Riemann sums. To justify existence, uniform continuity in step 1.4 bounds the difference between a sum and any refinement by the interval length times the modulus of continuity at the original mesh. Comparing two sums through their common refinement proves the Cauchy property as both meshes tend to zero. Completeness in [A5] gives the limit, independent of tags and partitions. The triangle inequality for sums gives for the continuous integrands used here. Linearity, subdivision, translation of intervals, and interchange with a fixed bounded operator follow first for sums and then for their limits. Put . Then for sufficiently small .
For such , let and . The series converges in operator norm: its tails are bounded by the geometric tails , and [A5] gives completeness. Telescoping finite sums and the product bound in [A4] give . Thus is invertible with bounded inverse .
For , the semigroup law and the integral identities from step 2.2 yield in operator norm, by continuity at and at zero and the integral bound. Hence and . Since is onto, and is bounded. There is no additional factor in this last formula with the unnormalized integral .
Restrict to nonnegative times. Its right generator extends the two-sided generator : on the two-sided limit from step 1.2 in particular gives the right limit. If were norm continuous at zero, step 4.1 would make this right generator bounded on all of , contradicting the unit vectors in step 1.2. This corroborates the direct computation in step 1.3 and completes all claims.
Self-adjoint extensions and deficiency indices: agreement pointer
Remark
Assume the Axiom of Choice (The Axiom of Choice). The extension theorem is proved on the companion A page of this pair: self-adjoint extensions of a closed symmetric operator correspond bijectively to the unitary operators (Von Neumann parameterization of self-adjoint extensions), and such a unitary exists exactly when the deficiency dimensions agree (Existence of self-adjoint extensions is equality of deficiency indices, Deficiency subspaces and deficiency indices). The parameterization determines the extension's domain and action, not merely the number of extensions, and when a unitary is supplied no further choice is used to produce the extension. Equality of deficiency dimensions by itself does not exhibit a unitary: the Hilbert-basis input producing one is recorded on the A page. The minimal derivative operator of The minimal derivative has deficiency indices (1,1) and many self-adjoint extensions is the one-dimensional instance: the unitaries are there the scalars with , in bijection with the boundary parameters of modulus one in the conditions .