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Qm Uncertainty And Compatibility
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- Algebraic Closure, Embeddings, and Separability
- Algebraic Extensions, Extension Degree, and Finite Fields
- 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
- Bessel-Potential Completions and Real-Order Sobolev Spaces
- Binary Operations, Monoids, Groups and Subgroups
- Bounded Linear Operators and Quotient Spaces
- Bounded Variation and the Riemann–Stieltjes Integral
- Cm Math Geometry
- Compact Operators and Riesz Schauder Theory
- Compact Self Adjoint Hilbert Schmidt and Trace Class Operators
- 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
- Composition Series, the Jordan–Hölder Theorem and Solvable Groups
- Congruences, the Integers Modulo n and the Chinese Remainder Theorem
- 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
- Cyclic Groups and Direct Products
- Darboux, L'Hôpital, and Taylor's Theorem
- Density Separability and Convolution in Lᵖ
- Determinants of Matrices over a Commutative Ring
- Diagonalisation and the Minimal Polynomial
- Distributions Test Functions and Differentiation
- Divisibility, Euclidean Domains, Principal Ideal Domains and Unique Factorisation
- Divisibility, Greatest Common Divisors and Bézout's Identity
- Dual Spaces Adjoint Operators and Annihilators
- Dual Spaces, Bilinear and Quadratic Forms, and Sylvester's Law of Inertia
- Eigenvalues, Eigenvectors and the Characteristic Polynomial
- Exterior Powers, Orientation and Hodge Duality
- Filters and Ultrafilters
- Finite Counting, Factorials and Binomial Coefficients
- Finite Dimensional Normed Spaces and Riesz Lemma
- Finite Probability and the Probabilistic Method
- Foundations of the Real Numbers for Analysis
- Fourier Multipliers and Sobolev Characterisations
- Fourier Transform Convolution and Approximate Identities
- Fredholm Elliptic Problems and the Elliptic Spectrum
- Free Modules, Exact Sequences, Projective and Injective Modules
- 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
- Group Homomorphisms and the Isomorphism Theorems
- Harmonic Functions and Mean Values in Rn
- Hausdorff via the Diagonal
- Hilbert Space Geometry and Riesz Representation
- Ideals, Quotient Rings and the Isomorphism Theorems for Rings
- Improper and Parameter-Dependent Multiple Integrals
- Improper Integrals
- 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
- Modules, Submodules, Quotient Modules and the Isomorphism Theorems
- 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
- Primes, Euclid's Lemma and the Fundamental Theorem of Arithmetic
- Product Measures and the Fubini Tonelli Theorems
- Properties of the Integral and the Working FTC
- Qm Framework And Quantities
- Qm Massive Particle Kinematics
- Qm Math Composites
- Qm Math Fock And Equilibrium
- Qm Math Magnetic And Detection
- Qm Math Orbital And Spin
- Qm Measurement And Instruments
- Qm Observables And Born Probabilities
- Qm State Geometry
- 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
- Schwartz Space and the Plancherel Theorem
- 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
- Smooth Approximation and Sobolev Extension
- Smooth Partitions of Unity and Exhaustions
- Spectral Measures and Borel Functional Calculus
- Splitting Fields
- Square-Integrable Kernels and Hilbert–Schmidt Compactness
- Stone–Weierstrass in General
- Subspaces, Products, and Quotients
- Suprema and Infima
- Sylow's Theorems, p-Groups and Nilpotent Groups
- Symmetric Groups, Cycle Decomposition and the Sign Homomorphism
- Tempered Distributions and the Fourier Transform
- Tensor Products of Modules
- The Analytic Hahn Banach Theorem
- The Baire Principles of Functional Analysis
- The Branching Rule and the Young Graph
- 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 Determinant of a Linear Operator, Cofactors and Cramer's Rule
- The Exponential Function
- The Fundamental Theorem of Algebra
- The Fundamental Theorem of Finite Abelian Groups
- The Fundamental Theorems of Calculus
- The Galois Correspondence
- The Group Algebra and Representations of Finite Groups
- 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 Riemann Integral in Rᵐ and Jordan Content
- The Riemann Integral: Definition and Integrability
- The Spectral Theorem, Positive Operators and Singular Value Decomposition
- 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
- Uniform Spaces: the Three Definitions
- Unitary Representations, Positive Type and GNS
- Urysohn's Lemma and the Tietze Extension Theorem
- Vector Spaces, Linear Subspaces, Span and Direct Sums
- Weak Derivatives and Sobolev Spaces
2 · Summary
This page develops preparation uncertainty and spectral compatibility for the assigned sharp observables of the framework, on the model of the massive spin- particle fixed by qm-massive-particle-kinematics. The reading of preparation variance and spread is fixed by Preparation variance and spread of an assigned sharp observable: for an assigned observable and a preparation , is the standard deviation of the outcome law of P2, defined only under the stated moment hypotheses and read in the declared unit. The weak-domain bound is supplied by Weak-form Robertson uncertainty on a common domain. On the product domains, The Schroedinger-Robertson bound in anticommutator form and the Robertson bound on product domains proves the Robertson bound and the anticommutator refinement with its equality clause. The Robertson relation for preparation spreads of assigned sharp observables reads these bounds as a conditional statement about two assigned observables, and The position-momentum preparation relation of the massive spin-s model proves the model's position-momentum relation on the full maximal domain of the pair, with the exact imaginary part of the centered pairing and the equality characterization; the local mathematics is the product-domain commutator identity The position-momentum commutator identity on the product domain and the cutoff approximation Approximation of Q-P graph-domain vectors by product-domain vectors.
Compatibility is stated at the level of spectra: Strong spectral commutation of self-adjoint operators defines strong spectral commutation by commuting projection-valued measures, and Bounded Borel calculus of strongly commuting self-adjoint operators and Strong spectral commutation, joint projection-valued measures and bounded Borel calculus prove the bounded Borel calculus, the existence and uniqueness of a joint projection-valued measure and its representation of products . The physical reading is Compatible sharp observables, their joint law and the ideal joint instrument: a pair of assigned sharp observables is compatible exactly when it has a joint sharp observable, the joint outcome law has the correct marginals in every preparation, and in the declared ideal P3 Lueders instrument, each positive-probability joint bin has an order-independent conditional state and repeatable update; zero-probability bins have no conditional state. This is a model update result, not an apparatus realization or universal disturbance claim. Applying the criterion together with the model's translation covariance shows in Position and momentum of the massive model have no joint sharp observable that position and momentum possess no joint sharp observable with their exact spectral marginals; the page makes no claim about unsharp joint measurements or laws.
The page records explicitly what it does not claim. Q and P are the model's position and momentum operators; the bound is a property of the spreads of the two outcome laws in one preparation and not a statement about apparatus resolution or disturbance; a formal commutator identity on a dense invariant domain is not sufficient for spectral compatibility, as the examples companion demonstrates; and the identification of a preparation or an apparatus with the model's objects is a tested identification under the preparation and apparatus postulate P7. The scope audit What the uncertainty and compatibility page adopts, proves and does not claim collects these boundaries. No experiment, measured value, trial count or statistical inference appears on this page.
3 · Logical flowchart
4 · Definitions, postulates, theorems and proofs
Strong spectral commutation of self-adjoint operators
Definition
(a) Setting. Assume the Axiom of Choice and the Axiom of Countable Choice (The Axiom of Choice, The Axiom of Countable Choice ()), the choice hypotheses of the spectral theorem. Let be a nonzero complex Hilbert space (Hilbert space) and let and be self-adjoint operators on with domains and (Adjoint of a densely defined operator, Symmetric, self-adjoint and essentially self-adjoint operators). By the spectral theorem each of them has a unique spectral projection-valued measure on the Borel sigma-algebra of (Spectral theorem for unbounded self-adjoint operators (PVM form), Projection valued measure, The Borel sigma-algebra of a topological space); write for the spectral projection-valued measure of and for that of .
(b) Strong spectral commutation. The operators and strongly commute, or are spectrally compatible, when their spectral projection-valued measures commute on every pair of Borel sets: This is the relation that the term "compatible sharp observables" abbreviates on the physical pages of the category. It is a condition on the two families of projections, not on a single vector or on a formal difference of operator products.
(c) Not to be confused with a commutator identity on a dense invariant domain. Let be a dense linear subspace of such that and . Then and are defined for every . Strong spectral commutation implies on : Teschl's bounded Borel calculus for a strongly commuting pair gives, for each bounded Borel function , and for (Section 4.2, Lemma 4.5). Apply this with . For , both and belong to , so the spectral theorem gives and . Since and is closed, it follows that and . The converse can fail even for a dense common invariant domain: the examples page records a pair of self-adjoint extensions for which the commutator vanishes on such a domain but the spectral projections do not commute.
For bounded everywhere-defined self-adjoint and , if the commutator vanishes on a dense , boundedness extends to all of ; the bounded Borel calculus then makes this equivalent to strong spectral commutation (Teschl, Section 4.2, Corollary 4.7). No graph-norm core property is needed in the comparison above. Clause (b), rather than a domain commutator identity, is the definition governing joint sharp outcomes.
(d) Status. Clauses (a)-(c) fix a definition and a comparison of conditions. They assert no physical claim, no joint measurement, no simultaneous sharp value and no dynamical statement. All further content about strong spectral commutation used by the category -- the bounded-calculus consequences, the joint projection-valued measure criterion and the physical readings -- is established as separate results with their own hypotheses.
Remarks
- Why projections and not commutators. For unbounded and the products and may be defined on different domains, so the expression need not be an operator at all; the spectral projections and are bounded everywhere-defined projections, so their products are always defined and clause (b) makes literal sense. This is why the definition is stated at the level of the projection-valued measures.
- Symmetric role of the two operators. Clause (b) is manifestly symmetric in and ; the notation is a single condition on each pair of Borel sets, not two conditions.
The Schroedinger-Robertson bound in anticommutator form and the Robertson bound on product domains
Statement
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()). Let be a complex Hilbert space with inner product linear in the first argument (Real and complex inner product spaces, with the inner product linear in the first argument, Hilbert space), let be symmetric densely defined operators on (Symmetric, self-adjoint and essentially self-adjoint operators, Adjoint of a densely defined operator), and let with satisfy in addition , that is and . Put and write and for the pairings at . Then:
(a) , , and
(b) (Robertson bound) ;
(c) (Schroedinger-Robertson bound) that is, with the expanded anticommutator pairing ;
(d) equality holds in (c) if and only if and are linearly dependent; in particular the Robertson bound (b) follows from (c) because the first square is nonnegative;
(e) if and are bounded everywhere-defined self-adjoint operators, then the product-domain hypothesis holds for every unit and clauses (a)-(d) apply to every unit .
No energy-time inequality and no apparatus statement is made.
Facts & Assumptions
Given: The Axiom of Countable Choice; a complex Hilbert space ; symmetric densely defined ; a unit with ; the numbers and vectors .
Covariance-refined uncertainty. For symmetric densely defined and a unit , with as above: are real and ; is real and symmetric; the refined bound holds, with equality if and only if are linearly dependent; and if then and (Covariance-refined preparation uncertainty without operator products clauses (a)-(d)).
Commutator pairing. If then , and with real (Weak-form Robertson uncertainty on a common domain clauses (a) and (c)).
Inner products and Cauchy-Schwarz. For one has , and with equality if and only if are linearly dependent (Cauchy–Schwarz: , with equality exactly for linearly dependent vectors).
Bounded operators. A bounded everywhere-defined self-adjoint operator on has domain , so for bounded self-adjoint the hypotheses and hold for every (A bounded linear operator between normed spaces, Symmetric, self-adjoint and essentially self-adjoint operators).
Proof
Given: The data of the statement and [F1]-[F4].
[Means and centered vectors] By [F1] the numbers and are real and , lie in , so and are the norms of the centered vectors.
[The real part is the anticommutator pairing] Since and , symmetry of gives and symmetry of gives . Adding, . By [F2], with , hence . Expanding the anticommutator of the centered operators, using and , , gives , so the two displays for the real part agree.
[The imaginary part is the commutator pairing] By [F2], ; by step 2.1 and [F2], , so . This completes (a).
[The two bounds] By [F1] the refined bound holds. Substituting step 2.1 and from step 3.1 gives (c); dropping the nonnegative first square gives (b).
[Equality] By [F1] equality in the refined bound holds if and only if are linearly dependent; this is (d).
[Bounded case] If and are bounded everywhere-defined self-adjoint operators then and all products are everywhere defined, so the product-domain hypothesis of the statement holds for every unit by [F4]; the displays of (a)-(d) are then unconditional in . This is (e).
Preparation variance and spread of an assigned sharp observable
The reading of preparation variance and preparation spread for an assigned sharp observable of the framework: the variance and standard deviation of the outcome law of a preparation, their units, their existence hypotheses through the moment theorem, the centered-vector form for pure preparations of domain vectors, and the resulting definition of the product of two spreads. The item fixes terminology and readings of P1 and P2 only; it asserts no apparatus resolution, no measurement error, no disturbance, no joint measurement, no dynamics and no empirical result, and it does not claim that any preparation has finite moments automatically.
Definition
(a) Setting. Adopt the state and composition postulate P1 and the observable and probability postulate P2 in the readings of The state space of the framework: preparations, pure rays and density operators and Assigned sharp observables and the outcome law of the framework (State and composition postulate P1: Hilbert spaces, preparations and composite systems, Observable and probability postulate P2: self-adjoint observables, spectral probability and finite unsharp outcomes), and assume the Axiom of Countable Choice and the Axiom of Choice (The Axiom of Countable Choice (), The Axiom of Choice). Let be an assigned sharp observable with declared unit and outcome law in a preparation , in the sense of Assigned sharp observables and the outcome law of the framework clause (b).
(b) Preparation variance. When the mean and the second moment of the outcome law are finite, the preparation variance of in is read in the square of the declared unit, and the preparation spread is , read in the unit . When either quantity is not finite the variance and the spread of the pair in are not defined; the definition does not extend them by .
(c) Values and hypotheses. The variance and its hypotheses are exactly those of the moment theorem: for a pure preparation of a unit vector the spread is , equal to when ; for a preparation the identities and existence criteria are those of Mean, second moment and variance of an assigned observable in a preparation and Mean, second moment and variance of the scalar spectral law. In particular, for an orthonormal density expansion , the mean is finite exactly when by Mean, second moment and variance of the scalar spectral law clause (d); zero-weight indices are omitted before evaluating their component integrals. For a pure unit vector the corresponding criterion is membership in by clause (b). Componentwise domain membership alone does not imply convergence of the weighted sum, and finite moments are not automatic.
(d) Products of spreads. For two assigned sharp observables and in a common preparation in which both spreads are defined, the product is a nonnegative real number read in the product unit ; for a pure preparation of a unit vector in it is with the real means and .
(e) Reading and scope. The spread is a property of the pair (preparation, assigned observable): it is the standard deviation of the outcome law that P2 assigns. It is not an apparatus resolution, not a measurement error and not a disturbance of the preparation; those are further objects that require a declared instrument or apparatus model and are not introduced here. Clause (b) makes no claim that a preparation realizes a specific laboratory state, that a laboratory procedure measures with resolution , or that the spread is observed in any experiment; the identification of an apparatus with the pair is a tested identification under the preparation and apparatus postulate P7. Dimensions, SI unit conventions and quantity types of the framework fixes the units in which the displays are read.
Remarks
- Vanishing spread and eigenstates. For a pure preparation of a unit vector , clause (c) shows exactly when , that is exactly when is an eigenvector of ; this is the framework's reading of the textbook statement that the uncertainty of an observable vanishes in an eigenstate. The identification of a laboratory state with such a preparation is again a tested identification, not a consequence of the definition.
- The product is not a joint distribution. Clause (d) forms a product of two spreads of the same preparation; it does not introduce a joint outcome law of and , and the product can be defined even when no joint sharp observable of the pair exists. Joint sharp observables are a separate notion with its own criterion.
Bounded Borel calculus of strongly commuting self-adjoint operators
Statement
Assume the Axiom of Choice and the Axiom of Countable Choice (The Axiom of Choice, The Axiom of Countable Choice ()). Let be a nonzero complex Hilbert space and let be self-adjoint operators on with spectral projection-valued measures that strongly commute in the sense of Strong spectral commutation of self-adjoint operators clause (b): For a bounded Borel function write and for its operators under the bounded Borel functional calculus (Bounded borel pvm integral). Then:
(a) for all bounded Borel ,
(b) for every bounded Borel one has , and the same statement holds with the roles of and exchanged, and it is also true with replaced by any bounded linear combination or norm limit of bounded Borel functions of ;
(c) for every bounded Borel the bounded operator commutes with all spectral projections of : for every Borel . Consequently, for real-valued bounded Borel the pair strongly commutes: the map is a projection-valued measure on the Borel sets of representing the bounded self-adjoint operator , and for all Borel ; hence also strongly commutes for real-valued bounded Borel .
Facts & Assumptions
Given: The Axiom of Choice and the Axiom of Countable Choice; a nonzero complex Hilbert space ; self-adjoint operators with strongly commuting spectral projection-valued measures ; bounded Borel functions ; vectors and .
Bounded Borel calculus. For bounded Borel the operator is the unique bounded operator with , it satisfies , and , it is the norm limit of for every sequence of complex simple functions with , and for a simple function over a disjoint measurable cover one has (Bounded borel pvm integral clauses 1 and 2). A projection-valued measure is multiplicative, , and every value is an orthogonal projection (Projection valued measure).
Star homomorphism. The map is linear and unital, multiplicative, and adjoint preserving: and (Pvm integral is a star homomorphism clauses 1-3).
Spectral theorem and truncated integrals. The spectral projection-valued measure of a self-adjoint operator is unique, its scalar measures are finite Borel measures with , and with for (Spectral theorem for unbounded self-adjoint operators (PVM form)). For Borel the operator has domain and satisfies ; the operators are bounded with , and for every (Unbounded Borel functional calculus: domains, products, spectral mapping; Bounded borel pvm integral for the bounded truncations).
Norm convergence of simple approximants. For every bounded complex-valued Borel function on and every there is a complex simple Borel function with : choose and partition the square into finitely many Borel squares of diameter at most . Their inverse images under , after empty sets are removed, form a finite disjoint measurable cover; choose a value in each square and let take that value on its inverse image. Then by [F1].
Regularity on the real line. Scalar measures of any PVM are finite positive measures of mass (Scalar and complex measures from a pvm clause 1). A Borel measure finite on compact sets on a locally compact Hausdorff space whose open sets are sigma-compact is regular, under Countable Choice (Sigma-compact open sets make locally finite Borel measures regular). Here is locally compact ( is locally compact and -compact at ) and Hausdorff (Distinct points of a metric space have disjoint balls around them). Every open is a countable union of rational intervals (Every open subset of the real line is a countable union of open intervals with rational endpoints); each is the union over of the compact intervals (Heine-Borel by bisection: every closed bounded interval is compact). Thus every open set is sigma-compact, including the empty set.
Monotone convergence. For increasing nonnegative measurable functions, the integral of the limit is the limit of the integrals (Monotone convergence for the integral).
Proof
Given: The data of the statement and [F1]-[F6].
[Simple functions commute] Let and be complex simple Borel functions over disjoint measurable covers. By [F1], and , so because products of scalars commute and each pair of projections commutes by the strong commutation hypothesis.
[Uniform approximation] Let be bounded Borel and fix . By [F4] choose simple with and . By [F1], , and , so the operator norm estimate gives in operator norm as , with the approximants chosen along any sequence .
[Clause (a)] Let be bounded Borel and choose the approximating sequences , of step 1.2. By step 1.1, for every ; both sides converge in operator norm to and to respectively by step 1.2 (applied to the pairs and ). Limits in operator norm are unique, so . This is (a).
[Clause (c), first part] Let be bounded Borel and let be Borel. Applying (a), already proved, to the bounded Borel function of and of gives . This is the first assertion of (c).
[Clause (b), membership in the domain] Fix a bounded Borel and ; put . Put , so that is a bounded Borel function of ; clause (a), already proved, applied to the pair of bounded Borel functions gives , so by [F1] and [F3] where the last step uses for . Letting and using monotone convergence on the left (equivalently the identities of [F3]) gives , so .
[Clause (b), action] With and as in step 4.1, both and lie in . By [F3], and . Using from step 4.1, the last equality because is bounded and . Hence for every . Exchanging the roles of and gives the other asserted identity, since the strong commutation hypothesis is symmetric.
[Norm limits of functions of ] Let be a sequence of bounded Borel functions of that converges in operator norm to a bounded operator . By steps 4.1-5.1, for every one has and . Thus and . Since the self-adjoint operator is closed, and . Finite bounded linear combinations are again bounded Borel functions of , so the same domain and action identities hold for them. This completes (b).
[Clause (c), composition] Let be real-valued and bounded Borel and put for Borel . Preimages preserve the empty set, the whole space, complements and countable unions, so is a projection-valued measure. Each is a finite positive Borel measure, hence finite on compact sets, and is regular by [F5]; thus is a regular PVM. For a complex simple the preimages are pairwise disjoint, so ; both sides extend to bounded Borel by the uniform approximation of [F1] and [F4], giving, for every , the scalar identity . Taking and letting by [F6] gives , where the last equality is [F1] for the bounded ; and, choosing , , so applying the operator identity to gives for all . Since is real-valued, the adjoint-preservation clause of [F2] gives , so is self-adjoint, and is bounded by [F1]. By the uniqueness of the spectral projection-valued measure of a self-adjoint operator in [F3], is the spectral projection-valued measure of the bounded self-adjoint operator . By the strong commutation hypothesis, , so strongly commutes. Applying the same argument once more, now to the pair and the real-valued bounded Borel function , shows that strongly commutes. This completes (c).
Strong spectral commutation, joint projection-valued measures and bounded Borel calculus
Statement
Assume the Axiom of Choice and the Axiom of Countable Choice (The Axiom of Choice, The Axiom of Countable Choice ()). Let be a nonzero complex Hilbert space and let be self-adjoint operators on with spectral projection-valued measures (Spectral theorem for unbounded self-adjoint operators (PVM form), Projection valued measure). Then the following are equivalent:
(i) and strongly commute in the sense of Strong spectral commutation of self-adjoint operators clause (b), that is for all Borel ;
(ii) there is a regular projection-valued measure on the Borel sigma-algebra of whose values on measurable rectangles (Measurable rectangles in a product of measurable spaces) are , and whose marginals are and ;
(iii) for all bounded Borel functions , where the operators are those of the bounded Borel functional calculus (Bounded borel pvm integral).
If these conditions hold, the projection-valued measure of (ii) is unique, and for all bounded Borel one has the representation
Facts & Assumptions
Given: The Axiom of Choice and the Axiom of Countable Choice; a nonzero complex Hilbert space ; self-adjoint operators on with spectral projection-valued measures ; Borel sets ; bounded Borel functions on .
Strong commutation. and strongly commute exactly when for all Borel , and this is a symmetric condition in and (Strong spectral commutation of self-adjoint operators clause (b)).
Bounded calculus of strongly commuting operators. If strongly commute, then for all bounded Borel (Bounded Borel calculus of strongly commuting self-adjoint operators clause (a)).
Joint projection-valued measure construction. Let be regular projection-valued measures on the Borel sigma-algebra of with for all Borel . Then there is a unique regular projection-valued measure on the Borel sigma-algebra of with for every measurable rectangle , and its marginals are and (Joint PVM construction for strongly commuting regular projection-valued measures).
Regularity of spectral measures. For every the set function is a finite Borel measure on with (Scalar and complex measures from a pvm). Every Borel measure on that is finite on compact sets is regular, because is locally compact Hausdorff and each of its open subsets is sigma-compact (Sigma-compact open sets make locally finite Borel measures regular); hence and are regular projection-valued measures.
Multiplicativity of projection-valued measures. A projection-valued measure satisfies for all measurable , and every value is an orthogonal projection (Projection valued measure).
Bounded integral and star homomorphism. For a projection-valued measure on a measurable space and bounded measurable , the operator satisfies and is the norm limit of the integrals of uniformly convergent simple approximants; the map is linear, unital, multiplicative and adjoint preserving (Bounded borel pvm integral clauses 1 and 2, Pvm integral is a star homomorphism clauses 1-3).
Proof
Given: The data of the statement and [F1]-[F6].
[(i) implies (ii)] Assume (i). By [F4] the projection-valued measures and are regular, and by [F1] they commute on all Borel pairs; so [F3] supplies a unique regular projection-valued measure on the Borel sets of with for all measurable rectangles and with the stated marginals. This is (ii), including uniqueness.
[(ii) implies (i)] Assume (ii). For Borel , the multiplicativity [F5] and the marginals give using . This is (i).
[(i) implies (iii)] This is [F2] verbatim.
[(iii) implies (i)] Assume (iii). Taking and , which are bounded Borel, gives . This is (i).
[The joint representation] Assume (i)-(iii) and let be the unique joint projection-valued measure of (ii), so that for rectangles. Let denote the bounded integral against for bounded Borel . For simple , over disjoint covers of , the disjointness of the rectangles and the defining property of the simple integral against a projection-valued measure give For general bounded Borel choose simple with and (uniform approximation by preimages of finite Borel partitions of bounded squares in , as in [F6]); then , so by the norm bound of [F6] both and in operator norm, whence ; combining with [F2] gives the displayed chain.
The position-momentum commutator identity on the product domain
Statement
Assume the Axiom of Countable Choice and the Axiom of Choice (The Axiom of Countable Choice (), The Axiom of Choice). Fix integers , and , let be the component-valued space with the componentwise position and momentum operators of Componentwise position and momentum operators on the component-valued wave-function space clauses (a) and (b), with domains and let denote the weak partial derivative (Weak derivative of a locally integrable function). Then:
(a) Product rule. If has and (the latter read componentwise), then lies in and
(b) The product domain. and , and their intersection is
(c) Commutator identity. For every ,
(d) Core. The componentwise Schwartz class (Schwartz space and its seminorms) is contained in , and (c) holds on it.
No identity of unbounded products is asserted outside ; in particular no identity is asserted on alone.
Facts & Assumptions
Given: The Axiom of Countable Choice and the Axiom of Choice; integers ; ; the componentwise operators with the displayed domains; a class ; a coordinate index .
Domains and actions. and are self-adjoint with the maximal componentwise domains displayed in the Statement, and componentwise, and (Componentwise position and momentum operators on the component-valued wave-function space clauses (a), (b)). Hence, for a class , the products and are defined exactly by the memberships and respectively, that is and in the componentwise reading; no other hypothesis enters the definitions of the product domains.
Weak Leibniz rule with a smooth factor. Let be open, , and ; suppose has weak derivatives for all . Then has a weak -derivative, and its almost-everywhere class is (Weak Leibniz rule with a smooth factor). With and this gives in for every whose weak -derivative exists in .
Componentwise reading and Schwartz core. Weak differentiation, multiplication by and the condition are read componentwise; a class lies in exactly when all of its components lie in the scalar Schwartz class (Schwartz space and its seminorms, The space as the quotient by null functions); the Schwartz class is contained in , is mapped into itself by and , and satisfies the canonical commutation relation there (Canonical commutation relations on the component-valued core and commutation with the internal factor clauses (a) and (d)).
Local square-integrability. componentwise, by the Cauchy-Schwarz bound on bounded measurable sets (Cauchy–Schwarz: , with equality exactly for linearly dependent vectors, The space as the quotient by null functions).
Proof
Given: The data of the statement and [F1]-[F4].
[The product rule] Let with and . Componentwise, by [F4]. The occurrence of in the hypothesis uses the stated locally integrable weak derivative; no global membership of is needed for clause (a). Thus [F2] with and applies and gives in for every . The right-hand side is a component of an class by hypothesis, so componentwise and with the displayed identity. This is (a).
[The two product domains] By [F1], and , which are the first two displays of (b). For the intersection, the inclusion is immediate from these displays; conversely, if has , and in , then and step 1.1 gives , so lies in both product domains. This is (b).
[The commutator] Let . By [F1] and step 2.1, componentwise, while by step 1.1. Subtracting componentwise, , so . This is (c).
[The core] Every component of a Schwartz class lies in the scalar Schwartz class, which is closed under multiplication by and under and is contained in ; hence , and are in , and step 2.1 places in the intersection. The identity of (c), together with [F3], gives (d).
Approximation of Q-P graph-domain vectors by product-domain vectors
Statement
Assume the Axiom of Countable Choice and the Axiom of Choice (The Axiom of Countable Choice (), The Axiom of Choice). Fix integers , and , and let with the componentwise position and momentum operators of Componentwise position and momentum operators on the component-valued wave-function space. Let with be a class and let be the product domain characterized in The position-momentum commutator identity on the product domain clause (b). Then there is a sequence with in . In particular, if is a unit vector, then , and in norm, and consequently
Facts & Assumptions
Given: The Axiom of Countable Choice and the Axiom of Choice; integers ; ; the operators with their maximal componentwise domains; a class with .
Componentwise operators and weak Leibniz. and componentwise on their maximal domains, and (Componentwise position and momentum operators on the component-valued wave-function space). For every smooth and every whose weak -derivative lies in , one has in (Weak Leibniz rule with a smooth factor).
Cutoffs. There is with , on , outside ; for and one has on , outside , , and (Explicit compactly supported smooth cutoffs).
Dominated convergence. If pointwise and with , then (Dominated convergence).
The product domain. and on the product rule holds (The position-momentum commutator identity on the product domain clauses (a) and (b)).
Inner-product continuity. The inner product and the norm of are continuous for norm convergence (Hilbert space, The space as the quotient by null functions).
Proof
Given: The data of the statement and [F1]-[F5].
[The truncated vector] For put , the componentwise product of the class with the bounded smooth function . Since and , the class satisfies .
[Membership in the product domain] Since , [F1] with gives , a sum of two classes because and are bounded; hence . Next : the first summand is bounded in modulus by pointwise by [F2], and the second by because on the support of and since ; hence . Also because is bounded. By [F4] the three memberships place in .
[Convergence of the truncated sequence] As one has , and pointwise, with the uniform bounds , and . Apply [F3] componentwise to the squared moduli: gives in , and gives . Both majorants are integrable by . For the momentum, , while and pointwise convergence give in by [F3]; the last majorant is integrable because . Therefore in . In particular .
[Normalization] Since , choose such that for every . Reindex this tail by setting for every . Since is a linear subspace by [F4], and . Dividing the convergences of step 2.2 by gives , and . If is a unit vector, these are the convergences , and .
[Means and second moments] Assume is a unit vector. By [F5], and from the convergence ; the same two limits hold with replaced by . This completes the statement.
The Robertson relation for preparation spreads of assigned sharp observables
Conditional statements about the preparation spreads of two assigned sharp observables of the framework in a pure preparation of a unit vector: the weak Robertson bound Delta A Delta B >= |Im<A psi, B psi>| for unit vectors in both domains, the Robertson bound Delta A Delta B >= |<[A,B]psi,psi>|/2 and its anticommutator refinement when the product domains also contain the vector, and the automatic validity of these hypotheses for bounded observables. The statement is a conditional consequence of P1 and P2 and the cited mathematics; it concerns preparation spreads of outcome laws only, and asserts no apparatus error, no disturbance, no joint measurement, no energy-time inequality and no empirical result.
Statement
Adopt the state and composition postulate P1 and the observable and probability postulate P2 in the readings of The state space of the framework: preparations, pure rays and density operators and Assigned sharp observables and the outcome law of the framework (State and composition postulate P1: Hilbert spaces, preparations and composite systems, Observable and probability postulate P2: self-adjoint observables, spectral probability and finite unsharp outcomes), and assume the Axiom of Countable Choice and the Axiom of Choice (The Axiom of Countable Choice (), The Axiom of Choice). Let and be assigned sharp observables with outcome laws and let be their preparation spreads in the reading of Preparation variance and spread of an assigned sharp observable. Let be a unit vector. Whenever , put Then:
(a) Weak form. If , then the means are real, the spreads and are defined, both are read in the units and , and
(b) Robertson form. If in addition , that is and , then the pairing is defined, is purely imaginary, and read in the product unit ; moreover the anticommutator refinement holds, with equality in the refined bound if and only if and are linearly dependent.
(c) Bounded observables. If and are bounded everywhere-defined self-adjoint operators, then clauses (a) and (b) hold for every unit with all hypotheses automatic (A bounded linear operator between normed spaces).
(d) Status and scope. Clauses (a)-(c) are conditional consequences of P1 and P2 and the cited mathematics. They concern the spreads of the two outcome laws in one preparation; they introduce no joint outcome law, no apparatus resolution, no measurement error, no disturbance of the preparation, and no time observable. In particular no energy-time inequality is asserted, and clauses (a)-(c) do not claim that a laboratory procedure realizes either observable or attains the bounds; whether a concrete preparation and apparatus realize the pair and produce the spread is a tested identification under the preparation and apparatus postulate P7.
Facts & Assumptions
Given: The postulates P1 and P2; the Axiom of Countable Choice and the Axiom of Choice; assigned sharp observables , with self-adjoint operators and declared units; a unit vector ; the preparation spreads of Preparation variance and spread of an assigned sharp observable.
Moments and spread. For an assigned sharp observable and a pure preparation of a unit vector , the mean and the second moment of the outcome law exist with and , and the preparation spread is (Mean, second moment and variance of an assigned observable in a preparation clause (a), Mean, second moment and variance of the scalar spectral law clause (c), Preparation variance and spread of an assigned sharp observable clauses (b) and (c)).
Schroedinger-Robertson bound. For symmetric densely defined and a unit with , with real means and centered vectors , , the refined bound and the equality clause hold: , with equality if and only if are linearly dependent, and with ; and (The Schroedinger-Robertson bound in anticommutator form and the Robertson bound on product domains clauses (a)-(d)).
Weak-form identification without products. For symmetric densely defined and a unit , with real means and as above, because with , and the refined Cauchy-Schwarz bound yields (The Schroedinger-Robertson bound in anticommutator form and the Robertson bound on product domains clause (a), Weak-form Robertson uncertainty on a common domain clauses (a), (c)).
Units. The declared unit of an assigned sharp observable and the reading of powers and products of units are those of Dimensions, SI unit conventions and quantity types of the framework; the commutator pairing and the product are read in the product unit (Preparation variance and spread of an assigned sharp observable clause (d)).
Proof
Given: The data of the statement and [F1]-[F4].
[Weak form] Let be a unit vector. By [F1] the means and are real, the spreads and are defined, and they equal the norms of the centered vectors and . By [F3], and , which is (a).
[Robertson form] Assume in addition . Then satisfy the product-domain hypothesis of [F2] at ; combining the Robertson bound and the anticommutator refinement of [F2] with the identifications of [F1] gives the two displays of (b), and the equality clause transfers because the centered vectors there are exactly and . The pairing is purely imaginary by [F2]. This is (b).
[Bounded case] If and are bounded everywhere-defined self-adjoint operators, then and all products are everywhere defined, so the hypotheses of clauses (a) and (b) hold for every unit ; clauses (a) and (b) apply verbatim. This is (c).
[Units and scope] The units are those of [F4]; the preparation spread is the outcome-law spread of Preparation variance and spread of an assigned sharp observable and no apparatus, disturbance, joint-law or time quantity enters steps 1.1-2.1, which is the scope statement (d).
The position-momentum preparation relation of the massive spin-s model
The position-momentum preparation relation of the massive spin-s particle model of the framework, for one particle of mass parameter m>0 and spin label s: for every unit state vector in D(Q_j) cap D(P_j) the product of the preparation spreads of the j-th position and j-th momentum is at least hbar/2, with no product-domain hypothesis, together with the equality characterization by linear dependence of the centered vectors and the exact imaginary part -hbar/2. The statement is a conditional consequence of P1, P2, P5, P6 and the cited mathematics; P1 assigns pure preparations to unit rays, P2 supplies the outcome laws and spread reading, and P5/P6 assign this massive spin-s model. It concerns the spreads of the two separately assigned outcome laws and asserts no joint sharp observable with the exact spectral marginals, no claim about unsharp joint measurements, no apparatus realisation, no disturbance relation and no empirical result.
Statement
Adopt the state and composition postulate P1, the observable and probability postulate P2, the kinematics and massive-particle model postulate P5, and the internal-factor assignment P6 of the framework, read for the spin- model of The massive spin-s particle model of the framework: state space, operators, units and frame readings with mass parameter , spin label and (State and composition postulate P1: Hilbert spaces, preparations and composite systems, Observable and probability postulate P2: self-adjoint observables, spectral probability and finite unsharp outcomes, Kinematics and massive-particle model postulate P5: Newtonian frames and one-particle operators, Identical-particle and spin assignments P6: permutation sectors and finite-spin representations), and assume the Axiom of Countable Choice and the Axiom of Choice (The Axiom of Countable Choice (), The Axiom of Choice). Let be the model's -th position and -th momentum operators with their maximal domains, and let and be their preparation spreads in the reading of Preparation variance and spread of an assigned sharp observable. Let be a unit vector and put Then:
(a) and are defined and
(b) if in addition , then and the bound of (a) follows from the Robertson relation for the two observables;
(c) for every unit the centered pairing has the exact imaginary part consequently equality holds if and only if and are linearly dependent and ;
(d) Scope. The statement is conditional on P1, P2, P5, P6 and the cited mathematics. It concerns the two separately assigned position and momentum outcome laws in one preparation, needs no hypothesis on the products or . The compatibility results of this page show that no joint sharp observable with the exact spectral marginals of and exists; this statement makes no claim about existence or nonexistence of unsharp joint measurements or their outcome laws. It asserts no apparatus realization, no disturbance relation, no dynamics and no empirical result. Massless, relativistic, singular-potential and boundary realizations are separate models for which no such relation is asserted.
Facts & Assumptions
Given: The postulates P1, P2, P5 and P6 read through The massive spin-s particle model of the framework: state space, operators, units and frame readings; the Axiom of Countable Choice and the Axiom of Choice; the operators of the model with their maximal domains; a unit vector ; the numbers and the centered vectors .
Model operators. and are the componentwise position and momentum operators of Componentwise position and momentum operators on the component-valued wave-function space clause (a), self-adjoint with domains and , and the model assigns to them the status of assigned sharp observables in the reading of Assigned sharp observables and the outcome law of the framework clause (a) (The massive spin-s particle model of the framework: state space, operators, units and frame readings clause (b)).
Moments and spreads. For a unit vector in the mean and variance of the position law exist with where is real, and likewise for (Mean, second moment and variance of an assigned observable in a preparation clauses (a) and (b), Preparation variance and spread of an assigned sharp observable clauses (b) and (c)).
Product domain and commutator. and on it (The position-momentum commutator identity on the product domain clauses (b) and (c)).
Approximation. For every unit there is a sequence of unit vectors in with , and in , and with , and the analogous momentum limits (Approximation of Q-P graph-domain vectors by product-domain vectors).
Robertson relation. For two assigned sharp observables and a unit vector in the intersection of the two operator domains and the two product domains, the spread product is at least half the absolute value of the commutator pairing (The Robertson relation for preparation spreads of assigned sharp observables clause (b)).
Cauchy-Schwarz and its equality case. In a complex inner product space, and , with equality in the first inequality if and only if are linearly dependent (Cauchy–Schwarz: , with equality exactly for linearly dependent vectors, Hilbert space).
Proof
Given: The data of the statement and [F1]-[F6].
[Product-domain case] Let be a unit vector in . By [F1] the operators are the model's assigned sharp observables with their maximal domains, so the preparation spreads and the Robertson relation of [F5] apply to them. By [F3], , so . By [F5] the product of the preparation spreads of the two assigned observables satisfies .
[Approximation] Let be a unit vector and let be the approximating sequence of [F4]. For every , is a unit product-domain vector, so step 1.1 gives . By [F2] and [F4], , and the analogous identity holds for with the momentum limits of [F4]; taking square roots and products gives . Hence the limit satisfies , which is (a); and on the product domain the same computation together with [F3] is the derivation of (b).
[Exact imaginary part] Keep the notation of step 2.1 and put , , , . Since lies in both product domains, symmetry of and gives . The means are real by [F2], and expanding with the inner product linear in the first argument gives ; hence . By [F3], ; hence and . By [F4], and in (each is the sum of a convergent term and a scalar multiple of a convergent term), so the inner product is continuous and . This is the first display of (c).
[Equality characterization] For a unit put , . By step 3.1, , and by [F6] Equality holds exactly when both inequalities are equalities, that is (by the equality case of [F6] and the identity ) when are linearly dependent and . This completes (c).
[Scope] Clauses (a)-(c) were obtained from the model's operators, the product-rule identity, the approximation lemma and the Robertson relation; no joint outcome law, apparatus, disturbance, dynamics or empirical input enters. This is (d).
Compatible sharp observables, their joint law and the ideal joint instrument
The reading of strong spectral commutation as compatibility of assigned sharp observables: the equivalence with the existence and uniqueness of a joint sharp observable, the joint outcome law with its two marginal laws in every preparation, and the conditional finite-bin updates of the stipulated ideal Lueders instruments for positive-probability joint outcomes. The statement is a conditional consequence of P1, P2, P3 and the cited mathematics; the update and repeatability claims are consequences inside the ideal instrument model, not universal or apparatus-level disturbance claims. No concrete laboratory realization or empirical result is asserted, and the joint law is a mathematical object of the framework, not a measured distribution.
Statement
Adopt the state and composition postulate P1, the observable and probability postulate P2 in the reading of Assigned sharp observables and the outcome law of the framework, and the ideal conditional measurement postulate P3 in the reading of Declared ideal measurements and instruments of the framework (State and composition postulate P1: Hilbert spaces, preparations and composite systems, Observable and probability postulate P2: self-adjoint observables, spectral probability and finite unsharp outcomes, Ideal conditional measurement postulate P3: the projective Lueders update and discarded outcomes), and assume the Axiom of Countable Choice and the Axiom of Choice (The Axiom of Countable Choice (), The Axiom of Choice). Let and be assigned sharp observables with spectral projection-valued measures (Projection valued measure, Spectral theorem for unbounded self-adjoint operators (PVM form)). Call a regular projection-valued measure on the Borel sigma-algebra of a joint sharp observable of the pair when its marginals are the two spectral measures, and call the pair compatible when such an exists. Then:
(a) Criterion. The pair is compatible if and only if and strongly commute in the sense of Strong spectral commutation of self-adjoint operators clause (b), if and only if for all bounded Borel ; the joint sharp observable is then unique, and for bounded Borel
(b) Joint outcome law. If the pair is compatible, then for every preparation the assignment is a probability measure on the Borel sets of , the joint outcome law of the pair in , and its marginals are the individual laws: For the pure preparation of a unit vector it reads .
(c) Ideal finite-resolution joint instrument. If the pair is compatible and , are the projections of two finite disjoint Borel partitions of , , with , then are mutually orthogonal projections with strong sum , and in the framework's declared ideal sharp measurement of the family the outcome probabilities are with marginals and . For each joint outcome with , the sequential declared ideal measurements of and then , or in the reverse order, give the same conditional state In that state an immediate repetition of the joint measurement or either corresponding marginal-bin measurement returns the same outcome with probability one. If , no conditional state or repeatability claim is made for that outcome.
(d) Scope. Clauses (a)-(c) are conditional consequences of P1, P2, P3 and the cited mathematics. A joint sharp observable, when it exists, is a mathematical object of the framework: it supplies a joint outcome law, not an apparatus. Clause (c)'s updates and repeatability are conditional ideal-model claims under P3; no universal disturbance relation or apparatus-level disturbance claim is asserted. The claim that a concrete laboratory device realizes the joint measurement, with its resolution, losses and systematics, is a physical identification with uncertainty under the preparation and apparatus postulate P7. No dynamics or empirical result is asserted.
Facts & Assumptions
Given: The postulates P1, P2, P3 in the stated readings; the Axiom of Countable Choice and the Axiom of Choice; assigned sharp observables , with spectral projection-valued measures ; Borel sets ; finite disjoint Borel partitions , of ; a preparation ; a unit vector .
Scalar PVM probability and outcome laws. For a density operator and any projection-valued measure on a measurable space , the assignment is a probability measure on and equals for the pure preparation of a unit vector (Density operators and scalar spectral probability clauses (a) and (b)). For an assigned sharp observable this is its outcome law on , affine in the preparation (Assigned sharp observables and the outcome law of the framework clause (b), The Born outcome law: probability measure, mixtures, atoms and spectral support clause (a)).
Joint projection-valued measure criterion. For self-adjoint the following are equivalent: strong spectral commutation of and ; existence of a unique regular projection-valued measure on with and marginals , ; and for all bounded Borel . In that case for all bounded Borel (Strong spectral commutation, joint projection-valued measures and bounded Borel calculus).
Values of a projection-valued measure. For a projection-valued measure the values are orthogonal projections with and , , and is strongly finitely additive; in particular orthogonal projections with in the strong sense form a declared ideal sharp measurement family of the framework (Projection valued measure, Declared ideal measurements and instruments of the framework clauses (a) and (b)).
Compatible Lueders instruments. Let be regular commuting projection-valued measures with joint projection-valued measure , let , be finite disjoint Borel partitions of , and put , , . Then the are mutually orthogonal projections, the sequential declared ideal measurements of and give the joint law in either order with order-independent conditional states when , and the marginal sums reproduce the individual bin laws; the update is repeatable on the corresponding outcomes (Compatible Lüders repeatability clauses (a)-(e)).
Bounded calculus comparison. If and strongly commute, then for bounded Borel (Bounded Borel calculus of strongly commuting self-adjoint operators clause (a), Bounded borel pvm integral).
Proof
Given: The data of the statement and [F1]-[F5].
[Criterion] If is a joint sharp observable as defined in the Statement, then [F3] applied to and gives . Thus its marginal conditions imply the rectangle condition in [F2]; conversely a PVM from [F2] has the required marginals. The criterion [F2] therefore proves the three equivalent conditions of (a), uniqueness of and its bounded Borel integral representation, consistently with [F5].
[Joint law] Assume the pair is compatible and let be its joint sharp observable. For every preparation , the general-measurable-space scalar PVM probability result in [F1], with and , shows that is a probability measure with the pure reading . Its marginals are and likewise for , using the marginal property of from the Statement. This is (b).
[Ideal joint instrument] Assume compatibility and let , be as in (c). By [F3], are orthogonal projections with and in the strong sense; thus is a finite declared ideal sharp measurement family with outcome probabilities . Applying [F4] with , and the families , gives the sequential agreement and marginal sums. For every with , [F4] supplies the equal conditional states and repeatability claims; when this probability is zero, no conditional state is defined and the Statement makes no such claim. This proves (c).
[Scope] Steps 1.1-2.2 use only P1-P3 and the cited mathematics. The state updates and repeatability in step 2.2 are conditional consequences inside the stipulated ideal instrument; they do not state a universal or concrete-apparatus disturbance result. No apparatus identification, dynamics or empirical data entered, so (d) holds.
Position and momentum of the massive model have no joint sharp observable
The incompatibility of the j-th position and j-th momentum of the massive spin-s particle model: their spectral projection-valued measures do not commute, so the pair possesses no joint sharp observable with the two spectral measures as marginals. The statement is a conditional consequence of P2, P5 and P6 and the cited mathematics; it asserts no approximate joint measurement, no apparatus, no error-disturbance relation and no empirical result, and it concerns the model's assigned sharp observables only.
Statement
Adopt the observable and probability postulate P2, the kinematics and massive-particle model postulate P5 and the internal-factor assignment P6, read for the spin- model of The massive spin-s particle model of the framework: state space, operators, units and frame readings with mass parameter and spin label (Observable and probability postulate P2: self-adjoint observables, spectral probability and finite unsharp outcomes, Kinematics and massive-particle model postulate P5: Newtonian frames and one-particle operators, Identical-particle and spin assignments P6: permutation sectors and finite-spin representations), and assume the Axiom of Countable Choice and the Axiom of Choice (The Axiom of Countable Choice (), The Axiom of Choice). Fix a coordinate index . Then:
(a) the spectral projection-valued measures and of the model's -th position and -th momentum do not strongly commute: there are Borel sets with ;
(b) consequently the pair is not compatible: there is no regular projection-valued measure on the Borel sets of whose marginals are and , and in particular the framework assigns to the pair no joint sharp outcome law in any preparation;
(c) Scope. The statement is conditional on P2, P5, P6 and the cited mathematics and concerns the model's assigned sharp operators only. It does not assert that no approximate or unsharp joint measurement exists, gives no error-disturbance relation, and records no apparatus or empirical result.
Facts & Assumptions
Given: The postulates P2, P5, P6 read through The massive spin-s particle model of the framework: state space, operators, units and frame readings; the Axiom of Countable Choice and the Axiom of Choice; the model operators with their maximal domains; real ; a nonzero class .
Model operators and translations. and are self-adjoint with the maximal componentwise domains and , and the componentwise translation satisfies , and , the exponential being the spectral-calculus flow of (Componentwise position and momentum operators on the component-valued wave-function space clauses (a), (c) and (d); The massive spin-s particle model of the framework: state space, operators, units and frame readings clause (b)).
Bounded Borel calculus. If two self-adjoint operators have strongly commuting spectral projection-valued measures, then for every bounded Borel one has and for every (Bounded Borel calculus of strongly commuting self-adjoint operators clause (b)).
PVM multiplicativity and compatibility vocabulary. Every projection-valued measure satisfies for measurable (Projection valued measure). A joint sharp observable and compatibility mean, respectively, a regular PVM on with the two spectral marginals and the existence of such a PVM, as defined in the Statement of Compatible sharp observables, their joint law and the ideal joint instrument; only this terminology is used here, not that theorem's deductions under P1-P3.
The exponential function. is a bounded Borel function of with values of modulus , so it is admissible in the bounded Borel functional calculus of a self-adjoint operator (Spectral theorem for unbounded self-adjoint operators (PVM form), Projection valued measure).
Proof
Given: The data of the statement and [F1]-[F4].
[Supposition and its consequence] Assume for contradiction that and strongly commute, and fix . By [F4] the function is bounded Borel, and by [F1] its operator is . Applying [F2] with , gives and
[The contradiction] Let be nonzero, which exists because is dense, and put ; by the domain invariance of [F1], . The conjugation identity of [F1] gives while step 1.1 gives . Hence , that is , which contradicts and . Therefore and do not strongly commute, and there are Borel sets on which the two projections fail to commute. This proves (a).
[No joint sharp observable] If a regular PVM on had the two spectral marginals, then [F3], with and , would give for all Borel . This contradicts step 2.1. Thus no such PVM exists and, by the terminology in [F3], no joint sharp outcome law of the pair is assigned by the framework to any preparation. This proves (b). The argument uses only the stated postulates and mathematical PVM properties; it asserts no approximate or unsharp joint measurement, error-disturbance relation, apparatus model or empirical result, as required by (c).
What the uncertainty and compatibility page adopts, proves and does not claim
A scope audit of the uncertainty and compatibility page: it records P1 and P2 in the framework's vocabulary, the P5/P6 model assignments used for position and momentum, and P3 solely for the compatible-observables item's stipulated ideal finite-bin Lüders updates on positive-probability outcomes. The page proves conditional preparation-spread inequalities and spectral-compatibility criteria; it rules out only a joint sharp position-momentum observable with the exact spectral marginals and makes no claim about unsharp joint laws. It asserts no universal disturbance relation or concrete-apparatus disturbance claim, dynamics, empirical value or experimental finding. It proves nothing itself and reports no observation.
Scope of the page
Adopted, not restated. The physical content of this page is the state and composition postulate P1 and the observable and probability postulate P2 in the vocabulary of Assigned sharp observables and the outcome law of the framework (Observable and probability postulate P2: self-adjoint observables, spectral probability and finite unsharp outcomes, Kinematics and massive-particle model postulate P5: Newtonian frames and one-particle operators for the position and momentum statements). The compatible-sharp-observables item also adopts P3 solely for its stipulated ideal finite-bin Lüders instrument and its conditional updates and repeatability when the joint-bin probability is positive. P3 does not assert that a laboratory device realizes that ideal instrument. The position and momentum claims use P5 and P6 to name and ; the choice hypotheses of the spectral theorem are carried explicitly in the mathematical items.
What is proved. Preparation variance and spread of an assigned sharp observable fixes the reading of preparation variance and spread. The Robertson relation for preparation spreads of assigned sharp observables proves the weak Robertson bound for unit vectors in both domains, the Robertson bound and its anticommutator refinement on the product domains, and the automatic validity for bounded observables. The position-momentum preparation relation of the massive spin-s model proves on the full maximal domain of the pair, with the exact imaginary part and the equality characterization. Strong spectral commutation of self-adjoint operators, Strong spectral commutation, joint projection-valued measures and bounded Borel calculus and Compatible sharp observables, their joint law and the ideal joint instrument fix strong spectral commutation, prove its equivalence with the existence and uniqueness of a joint sharp observable and give the joint law with its marginals; Position and momentum of the massive model have no joint sharp observable proves that the model's position and momentum are incompatible. All of these are conditional consequences of the postulates and the cited mathematics.
What is not claimed. The position-momentum incompatibility item rules out a joint sharp PVM with the exact spectral marginals of and ; no item asserts that an unsharp joint measurement or unsharp joint law exists or does not exist. The compatible-observables item does derive conditional finite-bin updates and repeatability inside the ideal P3 model for joint outcomes of positive probability. No universal disturbance relation or disturbance claim for a concrete apparatus is asserted. The inequalities concern the spreads of the outcome laws of one preparation; they are not statements about the precision of a laboratory procedure, and the equalities of the position and momentum item are properties of specific preparations, not of every state. The identification of a preparation and an apparatus with the model's states and operators is a tested identification with uncertainty under the preparation and apparatus postulate P7; neither the postulates nor the theorems here report a measured value, a trial count or a statistical inference. Agreement of the conditional predictions with data would test the combined model and apparatus assumptions; it is not established or claimed here.
Distinctions preserved. The page keeps preparation spread, apparatus resolution and disturbance separate throughout; it also keeps the mathematical identity on a dense invariant domain separate from strong spectral commutation. The examples companion records a domain-sensitive counterexample, the Gaussian family that saturates the position-momentum bound, the spin- spread account, the energy-time scope remark and the error-disturbance distinction.
5 · Examples, experiments and counterexamples
None yet.
Sources
- G. Teschl, Mathematical Methods in Quantum Mechanics, 1st edition 2009, Chapter 3, printed pages 87-100 (PDF pages 99-112): projection-valued measures, the spectral theorem and the functional calculus of a self-adjoint operator
- G. Teschl, Mathematical Methods in Quantum Mechanics, 1st edition 2009, Section 4.2, Lemma 4.5 and Corollary 4.7, printed pages 115-116 (PDF pages 126-127): commuting bounded Borel functions, preservation of the domain of a self-adjoint operator, and the bounded-operator commutation criterion
- B. Zwiebach, MIT 8.05 Quantum Physics II (Fall 2013), Chapter 5 'Uncertainty Principle and Compatible Observables', Sections 7-8, printed pages 16-19: simultaneous diagonalization of commuting Hermitian operators and complete sets of commuting observables
- B. Zwiebach, MIT 8.05 Quantum Physics II (Fall 2013), Chapter 5 'Uncertainty Principle and Compatible Observables', Section 2, printed pages 3-6: the uncertainty inequality, the commutator-anticommutator refinement (2.28) and the saturation conditions
- D. Tong, Quantum Mechanics (author-hosted lecture set), Section 3.4.1, printed pages 84-85: the variance definition, the commutator derivation of the position-momentum bound and the class of saturation states
- G. Teschl, Mathematical Methods in Quantum Mechanics, 1st edition 2009, Section 2.1 and Section 3.1, printed pages 55-58 and 88-92 (PDF pages 67-70 and 100-104): symmetric operators, variances and the Cauchy-Schwarz bound in spectral form
- D. Tong, Quantum Mechanics (author-hosted lecture set), Section 3.4.1, printed pages 84-85 (PDF pages 87-88): the variance of an observable in a state defined as the uncertainty, the eigenstate case and the position-momentum example
- B. Zwiebach, MIT 8.05 Quantum Physics II (Fall 2013), Chapter 5 'Uncertainty Principle and Compatible Observables', Section 1, printed pages 1-3: the uncertainty defined as the norm of the centered vector and the identity (Delta A)^2 = <A^2> - <A>^2
- G. Teschl, Mathematical Methods in Quantum Mechanics, 1st edition 2009, Section 3.1, printed pages 88-95 (PDF pages 100-107): expectation values and moments of a self-adjoint operator in a state
- G. Teschl, Mathematical Methods in Quantum Mechanics, 1st edition 2009, Chapter 3, printed pages 87-100 (PDF pages 99-112): the bounded Borel functional calculus of a projection-valued measure, its multiplicativity and its interplay with the spectral theorem
- B. Zwiebach, MIT 8.05 Quantum Physics II (Fall 2013), Chapter 5 'Uncertainty Principle and Compatible Observables', Sections 7-8, printed pages 16-19: simultaneous diagonalization of commuting Hermitian operators
- G. Teschl, Mathematical Methods in Quantum Mechanics, 1st edition 2009, Chapter 3, printed pages 87-100 (PDF pages 99-112): projection-valued measures, the spectral theorem and the joint calculus of commuting spectral projections
- G. Teschl, Mathematical Methods in Quantum Mechanics, 1st edition 2009, Section 2.1, printed pages 55-58 (PDF pages 67-70): position and momentum operators, dense domains and the canonical commutation relation
- J. Binney and D. Skinner, The Physics of Quantum Mechanics, Sections 2.3.1-2.3.2, printed pages 26-27 (PDF pages 34-35): the commutator [x,p]=i hbar computed on differentiable wavefunctions
- G. Teschl, Mathematical Methods in Quantum Mechanics, 1st edition 2009, Section 2.1, printed pages 55-58 (PDF pages 67-70): dense domains, approximation by smooth vectors and the canonical commutation relation
- B. Zwiebach, MIT 8.05 Quantum Physics II (Fall 2013), Chapter 5 'Uncertainty Principle and Compatible Observables', Section 2, printed pages 3-6: the domain-qualified derivation of the uncertainty inequality and its saturation
- D. Tong, Quantum Mechanics (author-hosted lecture set), Section 3.4.1, printed pages 84-85 (PDF pages 87-88): variance as the spread of the outcome distribution, the derivation of Delta x Delta p >= hbar/2 from [x,p]=i hbar and the position-momentum example
- B. Zwiebach, MIT 8.05 Quantum Physics II (Fall 2013), Chapter 5 'Uncertainty Principle and Compatible Observables', Section 2, printed pages 3-6: the uncertainty inequality (2.14), its commutator-anticommutator refinement (2.28) and the saturation conditions
- G. Teschl, Mathematical Methods in Quantum Mechanics, 1st edition 2009, Section 3.1, printed pages 88-95 (PDF pages 100-107): expectation values, variances and spectral measures of self-adjoint operators
- D. Tong, Quantum Mechanics (author-hosted lecture set), Sections 3.4 and 3.4.1, printed pages 81-88 (PDF pages 84-91): canonical commutation relations, the position-momentum bound Delta x Delta p >= hbar/2 and the Gaussian saturation
- B. Zwiebach, MIT 8.05 Quantum Physics II (Fall 2013), Chapter 5 'Uncertainty Principle and Compatible Observables', Section 2, printed pages 3-6: the uncertainty inequality for position and momentum and the conditions for saturation
- G. Teschl, Mathematical Methods in Quantum Mechanics, 1st edition 2009, Section 2.1 and Section 8.1, printed pages 55-58 and 173-175 (PDF pages 67-70 and 185-187): position and momentum as self-adjoint operators and the algebraic calculus behind the canonical commutation relation
- D. Tong, Quantum Mechanics (author-hosted lecture set), Section 3.4, printed pages 81-84 (PDF pages 84-87): commuting observables, simultaneous eigenfunctions, simultaneous values and the non-degeneracy caveat in the textbook argument
- G. Teschl, Mathematical Methods in Quantum Mechanics, 1st edition 2009, Chapter 3, printed pages 87-100 (PDF pages 99-112): spectral projections, the multiplication form of the spectral theorem and the calculus of commuting projections
- D. Tong, Quantum Mechanics (author-hosted lecture set), Section 3.4, printed pages 81-84 (PDF pages 84-87): the canonical commutation relation, the shared-eigenfunction claim for commuting operators and its non-degeneracy caveat, and the physical reading of simultaneous values
- G. Teschl, Mathematical Methods in Quantum Mechanics, 1st edition 2009, Section 8.1, printed pages 173-175 (PDF pages 185-187): the momentum operator as the generator of translations and the algebraic position-momentum calculus
- D. Tong, Quantum Mechanics (author-hosted lecture set), Sections 3.4 and 3.4.1, printed pages 81-88 (PDF pages 84-91): commuting observables and simultaneous values, with the non-degeneracy caveat, and the position-momentum uncertainty relation with its Gaussian saturation
- B. Zwiebach, MIT 8.05 Quantum Physics II (Fall 2013), Chapter 5 'Uncertainty Principle and Compatible Observables', printed pages 1-19: uncertainty defined, the uncertainty inequality and its saturation conditions, the energy-time discussion with time as a parameter, and simultaneous diagonalization of commuting observables
- G. Teschl, Mathematical Methods in Quantum Mechanics, 1st edition 2009, Sections 2.1, 3.1 and 8.1, printed pages 55-58, 87-100 and 173-175 (PDF pages 67-70, 99-112, 185-187): self-adjoint operators, spectral measures and generators of one-parameter groups