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Spectral Measures and Borel Functional Calculus — Examples
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- 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
- 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
- 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
- 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 Identity Theorem, the Maximum Principle and the Open Mapping Theorem
- The Lebesgue Integral and the Convergence Theorems
- The Logarithm and General Powers
- The Lᵖ Spaces Holder Minkowski and Riesz Fischer
- 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 Winding Number and the Global Cauchy Theorem
- The ZFC Axioms and the Basic Set Constructions
- Topological Spaces and Continuity
- Topology of ℝ
- Triangularisation, Generalised Eigenspaces and Jordan Canonical Form
- Urysohn's Lemma and the Tietze Extension Theorem
- Vector Spaces, Linear Subspaces, Span and Direct Sums
2 · Summary
The companion computes the spectral measure in the two basic models and exhibits the three boundary phenomena the main page must not gloss over.
The diagonal operator on has spectrum the closure of its eigenvalue family, spectral projections acting by the pulled-back indicators on the coordinates, and Borel calculus acting by ; the construction checks boundedness, normality, strong additivity and the uniqueness clause of the spectral theorem. The multiplication operator on of a sigma-finite measure space has spectrum the essential range of , spectral projections and calculus , computed from the reciprocal criterion off the essential range and from finite-measure subsets of the inverse images of small discs on it. At an isolated spectral point the spectral projection is computed as the Riesz projection along a positively oriented circle separating from the rest of the spectrum: the resolvent is a Borel-calculus value, Bochner commutation pulls the contour integral inside the calculus, and the scalar Cauchy formula turns the kernel into the indicator of the enclosed disc, so equals in the repository's resolvent convention. Finally, for a bounded self-adjoint the sign and positive-negative parts , , , are evaluated from the scalar identities of the calculus: , , , , is the projection onto , and agrees with the earlier positive square root .
The counterexamples mark the limits of the theory. On the characteristic function of is discontinuous but still a permitted Borel-calculus input, and it produces the orthogonal projection onto the classes supported in , with kernel the classes supported in . Exactly that projection cannot be produced by the continuous calculus: a continuous with would have to be on and on , forcing and . And the same operator shows that normality does not produce eigenvectors: a nonzero solution of in would vanish almost everywhere off the single point , hence be the zero class, so has spectrum and no eigenvectors at all. The closing remark fixes the boundary of the page: the standard separable direct-integral model and its multiplicity classification are proved on the main page, while general measurable fields and nonseparable multiplicity theory are orientation only and are not suppliers.
3 · Logical flowchart
4 · Definitions, theorems and proofs
None yet.
5 · Examples, counterexamples and false statements
Pvm of a diagonal normal operator
Example
Assume AC. Let be a nonempty set, let be a bounded family of complex numbers with , and let be the associated diagonal operator. Then is a bounded normal operator with , its spectral projection valued measure on the Borel -algebra of is and the bounded Borel functional calculus is for every bounded Borel on .
Facts & Assumptions
is the space of square-summable families with inner product ; the vectors form an orthonormal family with for square-summable , and completeness will be proved directly below using coordinate completeness of (The complex plane is complete, and convergence is equivalent to convergence of real and imaginary parts) (Square-summable families on an arbitrary index set and the space , Orthonormal families, complete orthonormal systems and Hilbert bases, Hilbert space).
exactly when is bijective with bounded inverse; a bounded operator that is not bounded below is not bijective with bounded inverse (Spectrum and resolvent of a bounded operator, The operator norm as the least bound and as the unit-sphere or unit-ball supremum).
For a bounded normal operator on a nonzero complex Hilbert space, the spectrum is nonempty compact and the spectral PVM is the unique regular PVM on with , and for bounded Borel one has with (Spectral theorem for bounded normal operators pvm form, Bounded borel pvm integral, Borel functional calculus for a bounded normal operator).
Normal means (Self-adjoint, positive, unitary and normal operators). The adjoint is characterized by (The Hilbert-space adjoint of a bounded operator). The PVM and scalar regularity conditions are those of Projection valued measure.
AC is the declared choice hypothesis of this page from the construction item onward (The Axiom of Choice).
Verification
Given: A bounded family with , the diagonal operator on , and the map for Borel .
The space is complete. If is Cauchy in its norm, each coordinate is Cauchy since , so let be its unique complex limit. A Cauchy sequence is norm bounded, say by . For finite , passage to the limit in the finite sum gives ; taking suprema shows . Given , choose such that for . For fixed , passage to coordinate limits on every finite gives ; taking suprema gives . Thus the sequence converges (use half a prescribed tolerance). Unique coordinate limits require no choice. Since is nonempty and has norm one, this Hilbert space is nonzero.
The formula defines a bounded linear operator with , so , and by testing on the basis vectors, so ; the adjoint is because , so is diagonal with entries and is normal.
The map takes values in orthogonal projections: for square-summable the family is square-summable with , so and because the identity holds coordinatewise and the formula is symmetric.
: if is outside the closure then , the diagonal operator with entries is bounded with norm at most and is a two-sided inverse of , so ; if pick a sequence , so and is not bounded below, whence .
The projection identities, , , and hold coordinatewise. For disjoint with union , fix and and choose a finite coordinate set with , using the small-tail property in [A1]. Choose so every with belongs to some with (a finite maximum suffices). Then the difference vanishes on and has other coordinates of modulus at most , so its squared norm is less than . This proves strong countable additivity. For regularity of , choose finite with squared tail less than . Given Borel , set and . Then is compact, is open, , and both and are at most the tail. Thus every finite positive scalar measure is inner and outer regular; it is locally finite since its total mass is . The spectrum is compact Hausdorff by [A3], so this is exactly a regular PVM.
For every , every and Borel , the scalar measure equals , since . Integration against this measure gives : first for indicators and simple functions, then for bounded Borel functions by uniform simple approximation and finite variation. By the bounded PVM integral's pairing formula, . This family is square summable since is bounded. In particular coordinatewise.
The regular PVM on just constructed has , so uniqueness in the spectral theorem identifies it as the spectral PVM of . Its bounded Borel calculus therefore has by step 4.1.
The diagonal operator is therefore bounded normal with , its spectral projections act by on the coordinates, and its bounded Borel calculus acts by the scalar values .
Pvm of a multiplication operator
Example
Assume AC. Let be a sigma-finite measure space with (Finite, sigma-finite, and semifinite measures), let be bounded and measurable (A measurable function between measurable spaces), and let be multiplication by , (The space as the quotient by null functions). Then is a bounded normal operator, its spectrum is the essential range its spectral projection valued measure on the Borel -algebra of is , and its bounded Borel functional calculus is for every bounded Borel on , where is the zero extension of to . Since almost everywhere, the resulting multiplication operator is independent of the values chosen for an extension off and is customarily denoted .
Facts & Assumptions
is a Hilbert space; its elements are almost-everywhere classes, , and ( with the integral pairing is a Hilbert space, The space as the quotient by null functions, Hilbert space).
For a bounded complex measurable , use the real essential-supremum interface on to define . This essential supremum is the least essential bound: almost everywhere (The essential supremum of a measurable function with respect to a measure, The essential supremum is attained as the least essential bound).
exactly when is bijective with bounded inverse; a bounded operator that is not bounded below has no bounded inverse (Spectrum and resolvent of a bounded operator, The operator norm as the least bound and as the unit-sphere or unit-ball supremum).
Sigma-finiteness provides finite-measure sets covering ; finite unions make the cover increasing. If every intersection of a positive-measure set with these cover sets were null, their countable union would be null. Hence one intersection has positive finite measure (Finite, sigma-finite, and semifinite measures).
A finite Borel measure on a second-countable LCH space is regular (Locally finite Borel measures on second-countable LCH spaces are regular).
For a bounded normal operator on a nonzero complex Hilbert space, its spectrum is nonempty compact and the spectral PVM is the unique regular PVM on with , and has pairings with (Spectral theorem for bounded normal operators pvm form, Borel functional calculus for bounded normal operators, Borel functional calculus for a bounded normal operator, Scalar and complex measures from a pvm, Bounded borel pvm integral).
Domination: if almost everywhere and then ; and dominated convergence applies to uniformly bounded pointwise convergent sequences against the finite measure (Dominated convergence).
The adjoint pairing is that of The Hilbert-space adjoint of a bounded operator, and regular PVM means Projection valued measure. AC is the declared choice hypothesis of this page from the construction item onward (The Axiom of Choice).
Verification
Given: A sigma-finite measure space , a bounded measurable , and the multiplication operator on ; write for the essential range.
is a bounded linear operator with : , and if , the set has positive measure, and choosing of positive finite measure gives , so and hence (when the essential norm is zero, the upper bound already gives equality). Since , [A4] also supplies a nonzero finite-measure indicator, so this Hilbert space is nonzero.
is normal: the adjoint is because , and .
: if then for some , so almost everywhere, on and elsewhere defines a bounded measurable multiplier that is a two-sided inverse on a.e. classes of , and ; if then for each the set has positive measure, sigma-finiteness gives with , and the unit vectors satisfy , so is not bounded below and .
The set is nonempty compact by [A6] and steps 1.1–2.1. It is a second-countable LCH space, being a compact subspace of the Euclidean plane (intersections with rational-centre, rational-radius balls give a countable base). Moreover almost everywhere: for every there is an open ball about with null preimage; a countable rational-ball base refines all these balls. The union of those base balls having null preimage is exactly , since any point in one has a smaller ball with null preimage. Its preimage is a countable union of null sets.
Define for Borel ; these sets are also Borel in since is closed. Each is an orthogonal projection by multiplication and the adjoint pairing; , by step 3.1, and . For disjoint with union , the squared norm of the additive remainder is the integral of . The integrands tend to zero and are bounded by the integrable function , so dominated convergence gives strong countable additivity. Thus is a PVM. Its positive scalar measures have mass and are finite Borel measures on the second-countable LCH space , hence regular by [A5].
For every the product is integrable, since . The scalar measure therefore satisfies first for indicators and simple functions, using zero extensions. For bounded Borel on , uniformly approximating by simple functions proves the same equality: the right-side error is bounded by the uniform error times , and the left-side error by the uniform error times . No boundedness restriction on or density assertion is needed. In particular for , step 3.1 makes almost everywhere, so the bounded PVM integral satisfies by equality of all pairings.
By the uniqueness clause of the spectral theorem the regular PVM on with is the spectral PVM of ; for every bounded Borel on , let be its zero extension to . The same approximation argument gives , hence for all ; because almost everywhere, this class is independent of the extension off .
The multiplication operator has spectrum the essential range of , spectral projections given by multiplication by the pulled-back indicators, and Borel calculus , customarily written modulo the null set where .
Spectral projection of an isolated eigenvalue agrees with the riesz projection
Example
Assume AC. Let be a bounded normal operator on a nonzero complex Hilbert space , let be an isolated point of , and let be such that the closed disc meets in alone; let , , be the positively oriented circle. Then the spectral projection of the singleton equals the Riesz spectral projection, where the contour integral is the Banach-algebra-valued integral of Riesz spectral projection (with resolvent , matching its convention , and not the opposite sign ), and where is the spectral PVM of Spectral projections and resolution of the identity.
Facts & Assumptions
is clopen in , so the Riesz spectral projection is defined and lies in ; it is an idempotent commuting with (Riesz spectral projection, Riesz spectral projection properties).
For the function is bounded Borel on and : and multiplying by , using multiplicativity of the Borel calculus, gives and (Borel functional calculus for bounded normal operators, Borel functional calculus for a bounded normal operator).
A bounded linear map between Banach spaces commutes with Bochner integration (Bounded linear maps commute with Bochner integration). Integrable simple approximations converging in integral norm define the Bochner integral (Bochner-integrable function); continuity and the required approximations for this contour are proved below, not inferred from the resolvent definition.
Scalar Cauchy facts: if is holomorphic on the disc and is the positively oriented circle with , then for ; and for a holomorphic on a convex domain and a closed rectifiable contour in it, (Cauchy's integral formula on a circle compactly contained in a disc of holomorphy, Cauchy's theorem on a convex complex domain).
For every bounded Borel one has and is linear and bounded, with (Bounded borel pvm integral, Borel functional calculus for a bounded normal operator, Hilbert space).
The spectrum is nonempty compact (Spectral theorem for bounded normal operators pvm form). A Banach space is complete in its norm, uniform limits of continuous scalar functions are continuous, and is Banach (Banach space, A uniform limit of continuous functions is continuous, so is closed in under the uniform metric, If (Y) is Banach then (\mathcal B(X,Y)) is Banach, Hilbert space).
AC is the declared choice hypothesis of this page from the construction item onward (The Axiom of Choice).
The continuous calculus is isometric, the Borel calculus agrees with it on continuous functions, and (Continuous functional calculus for bounded normal operators, Borel functional calculus for bounded normal operators, Spectral projections and resolution of the identity).
Verification
Given: A bounded normal , an isolated spectral point , a radius with , the circle , and .
First is Banach in the supremum norm. If is Cauchy, then converges for every ; call the limit . Fixing one sufficiently late index bounds uniformly, and letting the other index tend pointwise to its limit in the Cauchy estimate gives . Thus is continuous by [A7], proving completeness. Now let , positive since the two compact sets are disjoint. For on the circle, , and , by subtracting the reciprocals pointwise. Thus is continuous, indeed uniformly continuous, into on . Step functions on successively finer equal subdivisions, with endpoint values as coefficients, approximate it uniformly, hence also in integral norm (error at most times the uniform error); they show strong measurability and Bochner integrability by definition. Applying the bounded map also proves continuity and Bochner integrability of the resolvent contour integrand, since .
The scalar Cauchy kernel of the contour is the indicator of the enclosed disc: for every one has if and if , by the Cauchy integral formula applied to in the first case and Cauchy's theorem on the convex disc in the second.
By step 1.1 and Bochner commutation, . For every , evaluation is bounded linear on with norm at most one; applying Bochner commutation once more identifies the function inside pointwise with . All contour integrals here include the derivative of the parametrization.
Evaluation on the spectrum: the closed disc meets only at , so for the value is exactly at and otherwise; hence and the contour integral equals .
To check the defining Riesz cycle conditions, choose with disjoint from : compactness gives such an if this complement is nonempty, and any works otherwise. Choose , set and , and define on , on . These are disjoint open neighborhoods of the respective spectral parts. The circle lies in , has index one at , zero at the other spectral points and zero outside , by step 1.2. Thus it is a permitted cycle in the Riesz definition and on it. Consequently .
The isolated spectral point is an eigenvalue. Indeed is a nonzero continuous function on because the singleton is clopen there, so isometry of the continuous calculus gives . Agreement of the calculi and step 3.1 identify this operator with , which is therefore nonzero; since its range equals , that eigenspace is nonzero.
The spectral projection of the isolated eigenvalue is therefore exactly the Riesz projection computed from the resolvent along a positively oriented circle separating from the rest of the spectrum.
Sign and positive negative parts of a self adjoint operator
Example
Assume AC. Let be a bounded self-adjoint operator on a nonzero complex Hilbert space , so that (Spectrum of a self adjoint operator is real), and let be its spectral projection valued measure. Write where , , are continuous on and for , for , is bounded Borel on , so all four operators are given by the continuous, respectively bounded Borel, functional calculus (Borel functional calculus for a bounded normal operator). Then
and agrees with the absolute value of Absolute value of a bounded operator; moreover is the orthogonal projection onto .
Facts & Assumptions
A bounded self-adjoint operator has , and its Borel calculus is a unital -homomorphism: , and for every Borel ; it extends the continuous calculus on continuous (Spectrum of a self adjoint operator is real, Borel functional calculus for bounded normal operators, Borel functional calculus for a bounded normal operator).
Scalar identities for real : , , , , and ; the functions , and are continuous on the compact real spectrum and is Borel and bounded by . [algebra]
and , so is the orthogonal projection onto (Spectral projections and resolution of the identity).
For self-adjoint one has , and a bounded positive operator has a unique positive square root; the calculus value of a nonnegative continuous function is positive, and the calculus is isometric (Absolute value of a bounded operator, Positive square root, Self-adjoint, positive, unitary and normal operators, Continuous functional calculus properties, Projection valued measure).
The order on bounded self-adjoint operators is the quadratic-form order, and means for all (Order on bounded self adjoint operators).
AC is the declared choice hypothesis of this page from the construction item onward (The Axiom of Choice).
Verification
Given: A bounded self-adjoint on a nonzero complex Hilbert space, its spectral PVM and Borel calculus, and the functions , , , on .
The three continuity identities pass to the calculus: and , by linearity of the Borel calculus applied to the pointwise scalar identities, since the involved functions are continuous on the compact spectrum.
Orthogonality of the parts: by multiplicativity.
Sign: , hence , and is the orthogonal projection onto , so is the orthogonal projection onto .
The absolute value agrees with the earlier definition: is positive because , and ; by the uniqueness of the positive square root of , .
The operators are the half-sum and half-difference: from the two identities of step 1.1, and , so .
Therefore , , , , with the projection onto , and coincides with .
Borel functional calculus defines a discontinuous characteristic function
Example
Assume AC. Let for Lebesgue measure and let be multiplication by the coordinate, . Then is bounded self-adjoint with , and the Borel functional calculus applied to the discontinuous function produces the orthogonal projection onto the closed subspace namely , whose range is that subspace and whose kernel is .
Facts & Assumptions
The multiplication operator on is bounded self-adjoint with , spectral projections and Borel calculus for every bounded Borel on (Pvm of a multiplication operator, Borel functional calculus for a bounded normal operator).
The indicator is bounded Borel on and satisfies , so its calculus value is an orthogonal projection equal to the spectral projection (Borel functional calculus for bounded normal operators, Spectral projections and resolution of the identity).
Elements of are equivalence classes modulo almost-everywhere equality; a class is supported in a Borel set when it has a representative vanishing almost everywhere off , and denotes this subspace of classes (The space as the quotient by null functions, Orthogonality and the orthogonal complement, Hilbert space).
AC is the declared choice hypothesis of this page from the construction item onward (The Axiom of Choice).
Verification
Given: Lebesgue measure on , the operator and the function .
The function is bounded Borel on , with values in and equal to its own square and conjugate, so the calculus attaches to it an orthogonal projection.
By the computation of the calculus for multiplication operators, , acting by .
Put and . For every , vanishes almost everywhere off ; conversely, if is supported in , then , so . Also exactly when vanishes almost everywhere on , so . Both subspaces are closed: if , boundedness and give , while if and , then .
The spectral projection agrees with this multiplication by the pulled-back indicator, so the discontinuous characteristic function of the Borel set has produced a genuine orthogonal projection of the operator, not merely a continuous-calculus value.
The Borel calculus of therefore assigns to the discontinuous function the orthogonal projection onto the classes supported in , with kernel the classes supported in .
Continuous functional calculus cannot produce every spectral projection
Statement refuted
Assume AC. For , multiplication by the coordinate on , there is a continuous with , where is the spectral projection valued measure of .
Facts & Assumptions
is bounded self-adjoint with ; its spectral projections act by , and is the orthogonal projection onto the classes supported in (Pvm of a multiplication operator, Borel functional calculus defines a discontinuous characteristic function).
The continuous calculus is the restriction of the Borel calculus to continuous functions: for continuous the operator of Continuous functional calculus for bounded normal operators satisfies (Pvm of a multiplication operator, Borel functional calculus for a bounded normal operator).
Multiplication operators in : as a class exactly when almost everywhere, and two continuous functions on that agree almost everywhere agree everywhere, because the complement of the closed set on which they agree is open and null (The space as the quotient by null functions, Spectrum and resolvent of a bounded operator).
AC is the declared choice hypothesis of this page from the construction item onward (The Axiom of Choice).
Counterexample
Given: Lebesgue measure on , the operator and the spectral projection .
Suppose, for contradiction, that satisfies .
Evaluating on , one gets ; subtracting, almost everywhere, so almost everywhere on the set (modulo a null set), hence on by continuity.
Evaluating on the nonzeroth class , one gets , so almost everywhere on and hence on by continuity, which forces .
The two evaluations give and simultaneously, a contradiction.
No continuous function on can satisfy for : this particular spectral projection forces incompatible one-sided values at and is not a continuous-calculus value of .
A normal operator need not have any eigenvectors
Statement refuted
Assume AC. Every bounded normal operator on a nonzero complex Hilbert space has a nonzero eigenvector.
Facts & Assumptions
on is bounded self-adjoint with , spectral projections , and the eigenvector identity is available in the form (Pvm of a multiplication operator, Spectral projections and resolution of the identity, Spectral theorem for bounded normal operators pvm form).
In , a class satisfies if and only if almost everywhere; a product of a bounded measurable function with vanishes almost everywhere exactly when almost everywhere off the zero set of the factor, and every representative of a nonzero class is nonzero on a set of positive measure (The space as the quotient by null functions, Borel functional calculus for a bounded normal operator).
AC is the declared choice hypothesis of this page from the construction item onward (The Axiom of Choice).
Counterexample
Given: Lebesgue measure on , the operator , and the spectral projection of a point .
is normal, indeed bounded self-adjoint, with .
Let in and suppose . Then almost everywhere, so almost everywhere on the set ; since that set is minus at most one point, hence of full measure, almost everywhere on .
A class vanishing almost everywhere is the zero class, contradicting ; hence no nonzero eigenvector exists at any .
Consistently with the eigenvector identity , the spectral projection of each singleton is zero, since the measure is nonatomic: in .
The bounded normal operator on therefore has spectrum and no nonzero eigenvectors, refuting the statement that every bounded normal operator has one.
Direct integrals and general multiplicity theory
Remark
Assume AC. The standard measurable direct-integral model for a bounded normal operator on a separable Hilbert space, and the classification of such operators by the scalar measure class together with the almost-everywhere multiplicity function, are proved on this page: the model with its measurable field of fibers of dimension and the identification with the orthogonal sum of cyclic -summands are Spectral multiplicity function in the separable case; the invariance of the scalar measure class and of the fiber dimension under unitary intertwiners is Unitary intertwiners preserve direct-integral fiber dimension; and the classification statement is Unitary equivalence classified by measure class and multiplicity. In that theorem the multiplicity is the almost-everywhere dimension of the direct-integral fiber, not the dimension of the eigenspace . The two notions can differ drastically: A normal operator need not have any eigenvectors exhibits a normal operator with spectrum but no nonzero eigenspace at any spectral point.
General measurable fields of Hilbert spaces beyond the standard countable fibers used here, and nonseparable multiplicity theory, are orientation only: they are not constructed, not stated as results, and are not suppliers for any item on this page or its consumers. The separable statements above are self-contained in the sense that every supplier they use is either proved earlier in the library or earlier on this page.
Sources
- Theo Bühler and Dietmar Salamon, Functional Analysis, §5.6–5.7, printed pp.273–296
- Theo Bühler and Dietmar Salamon, Functional Analysis, §5.7, printed pp.293–296
- Gerald Teschl, Mathematical Methods in Quantum Mechanics, 2nd ed., §4.1, printed pp.113–115
- Gerald Teschl, Mathematical Methods in Quantum Mechanics, 2nd ed., §4.1, Problem 4.1 and the resolvent convention, printed pp.113–115
- Theo Bühler and Dietmar Salamon, Functional Analysis, §5.3–5.7, printed pp.244–296
- Theo Bühler and Dietmar Salamon, Functional Analysis, §5.6.2–5.7, printed pp.277–296
- Theo Bühler and Dietmar Salamon, Functional Analysis, §5.7, printed pp.290–296
- Dana P. Williams, Lecture Notes on the Spectral Theorem, §4 and §5, pp.13–20
- John B. Conway, A Course in Functional Analysis, 2nd ed., Chapter IX §10 and the closing remarks, printed pp.293–301