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Qm Uncertainty And Compatibility — Examples
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- Absolute Continuity and the Sharp Fundamental Theorem of Calculus
- 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
- Differentiation of Monotone Functions and the Vitali Covering Theorem
- 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
- Hereditary and Productive Behaviour of the Separation Axioms
- 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 Autonomous Dynamics
- Qm Framework And Quantities
- Qm Massive Particle Kinematics
- Qm Math Composites
- Qm Math Fock And Equilibrium
- Qm Math Intervals And Contacts
- Qm Math Magnetic And Detection
- Qm Math Orbital And Spin
- Qm Math Oscillator
- Qm Measurement And Instruments
- Qm Observables And Born Probabilities
- Qm State Geometry
- Qm Uncertainty And Compatibility
- Radon Measures and the Riesz Markov Kakutani Theorem
- Regular Surfaces and Surface Integrals
- 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
- Strongly Continuous Semigroups and Hille Yosida
- 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 Divergence Theorem and Classical Stokes
- 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 Heat Kernel and the Cauchy Problem
- The Inverse and Implicit Function Theorems
- The Inverse Function Theorem Completed
- The Lebesgue and Riemann Integrals Compared
- The Lebesgue Integral and the Convergence Theorems
- The Logarithm and General Powers
- The Lᵖ Spaces Holder Minkowski and Riesz Fischer
- The Maximal Function and Lebesgue Differentiation
- The Radon Nikodym Theorem and Lebesgue Decomposition
- The Riemann Integral in Rᵐ and Jordan Content
- The Riemann Integral: Definition and Integrability
- The 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
The companion page to qm-uncertainty-and-compatibility collects one exact model computation, one finite internal-factor deduction, one purely mathematical counterexample and three remark items. The Gaussian family attains the position-momentum bound in the massive model computes, in the spin-zero massive model, the normalized Gaussian , shows that its momentum representative is again a Gaussian with width , evaluates the position and momentum outcome densities and spreads and , and verifies that the product is with centered vectors that are linearly dependent and have vanishing pairing real part, realizing the equality case of The position-momentum preparation relation of the massive spin-s model. Spin one half: spread identity, incompatible component outcomes and saturated Robertson bounds derives for the spin- internal factor the spread identity , shows with the explicit projection witness that every pair of components fails to be spectrally compatible, and records the saturated Robertson product in the eigenstates.
A commutator vanishing on a dense invariant domain does not imply strong spectral commutation is a mathematical counterexample: the periodic and antiperiodic momentum operators on agree on the dense invariant domain of test functions, so their commutator vanishes there, yet their spectral projections onto the eigenvalues and do not commute. It shows why Strong spectral commutation of self-adjoint operators is stated at the level of projection-valued measures. Time is not an observable of the framework: the conditional timescale bound records that time is a parameter and not an observable of the framework, so no energy-time Robertson pair exists here: only the conditional timescale bound of the graph-domain Ehrenfest theorem is available, with its curve, domain and normalization hypotheses. Preparation spread, apparatus resolution and disturbance are different objects separates preparation spread, apparatus resolution and disturbance, and records that no universal error-disturbance relation is asserted. What the examples companion records and what it does not audits the item count and confirms that no experiment, measured value or statistical inference appears. The Gaussian computation uses the Axiom of Choice for the spectral-calculus supplier of its outcome laws and moments, as stated in that item's assumptions.
None of the items is an experiment; there is no preparation procedure, no apparatus, no calibration, no count, no resolution, no efficiency, no background model, no uncertainty budget and no data comparison anywhere on the page. Every computation is a model computation in the stated framework, and every identification of a preparation or apparatus with the model's objects is a tested identification under the preparation and apparatus postulate P7.
3 · Logical flowchart
4 · Definitions, postulates, theorems and proofs
None yet.
5 · Examples, experiments and counterexamples
The Gaussian family attains the position-momentum bound in the massive model
An exact model computation for the spin-0 massive particle model of the framework: the normalized Gaussian preparation, its position and momentum outcome densities, the spreads sigma/sqrt(2) and hbar/(sigma sqrt(2)) and the product hbar/2, and the linear dependence of its centered position and momentum vectors that realizes the equality case of the position-momentum preparation relation. The example uses the model's own sharp outcome laws and the cited mathematics; it computes no dynamics, models no measurement, records no empirical value and claims no characterization of all equality states.
Example
Adopt the state and composition postulate P1, which assigns the ray of a unit vector as a pure preparation, the observable and probability postulate P2, and the massive-particle model postulate P5 read through The massive spin-s particle model of the framework: state space, operators, units and frame readings for a spinless particle (, ) of mass parameter . Assume the Axiom of Choice and the Axiom of Countable Choice (The Axiom of Choice, The Axiom of Countable Choice ()), as required by the spectral probability and moment suppliers used below. Fix a width and define with momentum width and momentum representative under the model's momentum transform . Then:
(i) is a unit vector, so P1 assigns its ray as a pure preparation; for all , and ;
(ii) the position outcome law of has density in the coordinate , with mean and variance , so ;
(iii) , that is the momentum outcome law of has density , with mean and variance , so ;
(iv) for every , and the centered vectors are linearly dependent with vanishing real part of their pairing: so the equality case of The position-momentum preparation relation of the massive spin-s model clause (c) is realized.
The computation is one family of preparations in the model; it is not a characterization of all preparations attaining , involves no dynamics, no detection model and no empirical value.
Facts & Assumptions
Given: The postulates P1 and P2 and the model P5 read through The massive spin-s particle model of the framework: state space, operators, units and frame readings with ; the Axiom of Choice and the Axiom of Countable Choice; a width ; the action constant ; the vector ; the momentum transform ; a coordinate or .
Heat kernel. For the function on is in , satisfies (The heat kernel on and its causal extension, Normalisation, parabolic scaling, heat equation and derivative bounds for the heat kernel), and has absolutely integrable first and second moments with and (First and second Gaussian heat-kernel moments).
Gaussian Fourier transform and momentum transform. With the -normalized unitary Plancherel transform one has for (Euclidean Gaussian transform with the 2π normalization); the model's momentum transform satisfies with and for (Momentum Fourier Jacobian: the unitary momentum representation clauses (a),(c), The momentum representation of the componentwise kinematics clause (a)).
Outcome laws of the model. For a unit class the position law of is and the momentum law of is (Position and momentum outcome laws of the massive spin-s model clauses (a) and (c), Assigned sharp observables and the outcome law of the framework clause (b)).
Moments and spreads. For a unit vector in the domain of the operator the mean and variance of the outcome law exist and equal the quadratic-form mean and the squared norm of the centered vector (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)).
Position-momentum relation. For every unit one has , with equality if and only if the centered vectors are linearly dependent and their pairing has vanishing real part (The position-momentum preparation relation of the massive spin-s model clauses (a) and (c)).
Schwartz functions and weak derivatives. A smooth function lies in exactly when all seminorms are finite (Schwartz space and its seminorms). A function has its classical partial derivatives as locally integrable weak derivatives (Classical derivatives agree with weak derivatives). When those derivatives are in , their classes give the model's momentum-domain membership. We distinguish a smooth function from its almost-everywhere class, using the same symbol when passing to that class.
Product integration. Integrals of nonnegative measurable functions on product spaces may be iterated (Tonelli's theorem for nonnegative measurable functions on a sigma-finite product), and (The Gaussian integral ).
Choice in the spectral laws and moments. The Axiom of Choice is the spectral theorem's stated hypothesis for constructing the spectral projection-valued measures of the self-adjoint operators; the moment suppliers also state the Axiom of Choice and Countable Choice. Thus the Born-law and moment steps below are conditional on these assumptions. The integrations and Gaussian Fourier calculation use the separate measure and Fourier suppliers [F1], [F2] and [F7].
Verification
Given: The data of the example and [F1]-[F8].
[The preparation] With one has , so [F1] gives . Repeated differentiation gives with a polynomial : start with and use . Each monomial of has modulus at most for some nonnegative integer . For , is bounded on : for it is at most , and for its maximum occurs at . Thus all Schwartz seminorms are finite, proving by [F6]. Moreover [F1] gives . The classical derivative is consequently in and is the weak derivative by [F6]. The model's maximal domains therefore contain this class in every and , and . This proves (i).
[Position law and spread] By [F3], [F7] and step 1.1, the law of has density By [F1] the first moment of this density vanishes and its second moment equals the one-dimensional heat-kernel second moment , so by [F4] the mean is and the variance is ; hence . This is (ii).
[Momentum representative] Write with . By [F2], , and substituting and gives . By [F2], ; its coefficient is and its exponent is with . This is the displayed Gaussian .
[Momentum law and spread] The momentum law density of is, by [F3] and step 2.2, the -th marginal of ; by the same heat-kernel moment computation as in step 2.1 with replaced by , its mean is and its variance is , so . This is (iii).
[Saturation and equality case] Multiplying the two spreads of steps 2.1 and 3.1 gives , the lower bound of [F5]. The centered vectors are and because both means vanish, and step 1.1 gives , a linear dependence. With the inner product linear in its first argument and , the pairing is , so its real part vanishes. By the equality clause of [F5] these properties are exactly the equality case of the position-momentum relation. This is (iv).
Remarks
- No converse is claimed. The verification shows that the Gaussian family attains the bound and satisfies the equality conditions of The position-momentum preparation relation of the massive spin-s model; it does not claim that every preparation with is Gaussian, and no classification of the equality set is recorded here.
- One family, three coordinates. The computation is uniform in the coordinate and in the width ; different widths give different preparations, and the momentum width is a property of this family in the model, not a measured resolution.
Spin one half: spread identity, incompatible component outcomes and saturated Robertson bounds
The spin-one-half internal factor of the massive particle model: the exact identity for the sum of the three component spreads in every unit state, the resulting lower bound hbar^2/2 and the impossibility of a state with all three component spreads small, the failure of spectral compatibility for every pair of spin components with the explicit projection witness, and the saturation of the Robertson bound in the S_z eigenstates. The statement is a conditional consequence of P1, P2, P5 and P6, under the Axiom of Choice and Countable Choice required by the cited spectral and moment suppliers, and the cited finite-dimensional mathematics; it asserts no measurement, apparatus, dynamics, empirical value or claim about angular momentum in space.
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, 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). Assume the Axiom of Countable Choice and the Axiom of Choice (The Axiom of Countable Choice (), The Axiom of Choice), the hypotheses of the cited spectral, moment and Robertson suppliers. Write for the model's internal-factor operators of The massive spin-s particle model of the framework: state space, operators, units and frame readings clause (c), so that in the Pauli matrices of Finite spin matrices clause (e), and let be the preparation spread of Preparation variance and spread of an assigned sharp observable. Then, for every unit :
(a) with , so at least one component satisfies ; in particular no unit state has all three component spreads equal to zero;
(b) for every pair of distinct components the spectral projection-valued measures fail to commute; explicitly, with the spectral projections of at , and cyclically; consequently no pair of the three components possesses a joint sharp observable in the sense of Compatible sharp observables, their joint law and the ideal joint instrument;
(c) in the state with any unit spatial factor and the basis vector of the internal factor, and , so the Robertson bound of The Robertson relation for preparation spreads of assigned sharp observables is attained in this state;
(d) Scope. Clauses (a)-(c) are conditional consequences of P1, P2, P5, P6, the stated choice hypotheses and the cited mathematics of the finite internal matrices acting on . They concern the internal-factor coupling constants of the model; they assert no laboratory measurement of a spin component, no Stern-Gerlach apparatus model, no dynamics, no empirical value and no interpretation of as a rotating body or as orbital angular momentum.
Facts & Assumptions
Given: The postulates P1, P2, P5, P6 read through The massive spin-s particle model of the framework: state space, operators, units and frame readings with ; the Axiom of Countable Choice and the Axiom of Choice; the internal operators ; a unit vector ; a unit spatial factor ; the basis vector .
Internal operators. acts on the internal factor as the matrix action, , and the Pauli matrices satisfy and , so , and (Finite spin matrices clause (e), The massive spin-s particle model of the framework: state space, operators, units and frame readings clause (c)).
Spreads in the finite factor. is bounded and self-adjoint, so for every unit the mean and the variance exist (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), Assigned sharp observables and the outcome law of the framework clause (a)).
Spectral projections of the components. For the spectral projection is the orthogonal projection onto the eigenspace (Atoms of the spectral measure and eigenvalues of a self-adjoint operator clause (a), Projection valued measure); the matrices satisfy , and , so (Finite spin matrices clause (e), The Hilbert orthogonal projection onto a closed subspace).
Cauchy-Schwarz. In a real or complex inner-product space, (Cauchy–Schwarz: , with equality exactly for linearly dependent vectors). Thus in , because is unitary by [F1].
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; bounded observables satisfy the hypotheses automatically (The Robertson relation for preparation spreads of assigned sharp observables clauses (b) and (c)).
PVM multiplicativity and joint-observable vocabulary. A PVM satisfies for measurable (Projection valued measure). A joint sharp observable means a regular PVM on with the two spectral measures as marginals, as defined in the Statement of Compatible sharp observables, their joint law and the ideal joint instrument; only that definition is used, not the theorem's deductions under P3.
Proof
Given: The data of the statement and [F1]-[F6].
[Spread identity] By [F1], , so for a unit , by [F2]. This is the identity of (a).
[Noncommutation of the component projections] By [F3] the projections are the spectral projections of the components. Using and , from [F1], with nonzero action on any unit spatial factor times . Cyclic permutations give nonvanishing differences for the other two pairs, so every two distinct components fail to strongly commute. If a joint sharp observable for components existed, [F6] applied to and would give for all Borel sets, contradicting those projection witnesses. This proves (b) without an ideal-instrument assumption.
[Bound on the vector mean] Choose a representative of the class and write , which is defined for almost every and measurable. For the Pauli relations of [F1] give , and , hence the Bloch identity ; so for almost every , and with ; and because acts on the internal factor. Put . If , set ; the real Cauchy-Schwarz inequality [F4] gives . If , the same bound is immediate. Hence Substituting into step 1.1 gives ; since the sum of the three nonnegative numbers is at least , their maximum is at least , so some component satisfies . This completes (a).
[The eigenstate] Let with . Since acts on the internal factor, the pointwise expectations are constants: gives , and , with the basis orthonormal give . By [F1], , so ; and by the same eigenrelation, so . Finally from [F1] gives , so the Robertson bound of [F5] is attained. This is (c).
[Scope] Clauses (a)-(c) used the internal matrices, the spread definition, the spectral-projection criterion and the Robertson relation; no measurement procedure, apparatus, dynamics or empirical input entered, which is the scope statement (d).
A commutator vanishing on a dense invariant domain does not imply strong spectral commutation
Statement refuted
Let be a complex Hilbert space, let be self-adjoint operators on , and let be a dense linear subspace with and . If for every , then the spectral projection-valued measures of and strongly commute in the sense of Strong spectral commutation of self-adjoint operators clause (b).
Facts & Assumptions
Given: The Axiom of Choice and Countable Choice; the interval ; the twisted-periodic momentum operators and on ; the space ; the exponential functions and .
Twisted-periodic momentum. For and put and . Then is dense, is self-adjoint, the functions form a complete orthonormal family, with , the eigenvalues are simple, and (The twisted-periodic momentum operator on an interval clauses (a)-(c)).
The trace and integration by parts. consists of the classes with an weak derivative, each class has a continuous absolutely continuous representative with for ; a compactly supported smooth function vanishes near the endpoints, so for every (One-dimensional Sobolev spaces on intervals, Integration by parts and the endpoint-vanishing space on intervals clauses (a),(b)).
Density. is dense in (Smooth compactly supported functions of an open set are dense in ).
Atoms are eigenspace projections. For a self-adjoint operator with spectral projection-valued measure and eigenvalue , the projection is the orthogonal projection onto the eigenspace (Atoms of the spectral measure and eigenvalues of a self-adjoint operator clause (a), Projection valued measure, Spectral theorem for unbounded self-adjoint operators (PVM form)).
The complex exponential and its integral. The function is differentiable with derivative (The complex exponential by its power series, The complex exponential is entire and its complex derivative is itself), and for a continuous function on an interval with a continuous primitive one has (Every continuous function on an interval has a primitive; two primitives differ by a constant; and for any primitive , applied to real and imaginary parts).
Counterexample
Given: The data of the refuted statement and [F1]-[F5]; take , , , .
[The hypothesis of the refuted statement holds] By [F2], , and both operators act on by , which maps into itself; hence for the products and are defined and . By [F3] the space is dense in . So the hypotheses of the refuted statement are satisfied.
[Spectral data] Applying [F1] with : has the complete orthonormal family with simple eigenvalues , and has the complete orthonormal family with simple eigenvalues , for . In particular spans the eigenspace of at and spans the eigenspace of at .
[The two spectral projections] By [F4], is the orthogonal projection onto , and is the orthogonal projection onto . Since is a unit vector, ; since , likewise .
[The inner products] By [F5], , and by conjugation . Hence and .
[Noncommutation] With and the projections of step 2.1, because , so the product of the two coefficients is . Thus while . The vectors and are linearly independent in (the continuous function is not constant on ), so the two results differ. Therefore : the spectral projection-valued measures of and do not strongly commute, and the refuted statement fails for this pair.
Remarks
- Where the domain identity loses information. Both operators are the differential expression on different self-adjoint domains; the dense invariant domain sees only the action, not the boundary conditions that determine the spectra. No graph-norm core property for either self-adjoint extension is asserted. The domain identity is therefore not a sufficient condition for strong spectral commutation. Strong spectral commutation still implies equality of the products on every common invariant domain where both compositions are defined.
- Boundedness is the missing hypothesis. For bounded everywhere-defined self-adjoint operators, a commutator identity on a dense subspace extends by continuity to on all of , which is equivalent to strong spectral commutation. This counterexample refutes only the converse implication for unbounded operators; it does not refute the implication from strong spectral commutation to equality on a common invariant domain. This is why Strong spectral commutation of self-adjoint operators is defined at the level of projection-valued measures.
Time is not an observable of the framework: the conditional timescale bound
A scope and reading remark on energy-time statements in the framework: time is a real parameter of the dynamical evolution and not a self-adjoint observable, so the Robertson relation does not apply to a pair of energy and time; the only relation recorded here is the conditional timescale bound of the graph-domain Ehrenfest theorem, under its stated curve, domain and normalization hypotheses, with the timescale defined from the mean of a chosen observable. No universal time observable, no universal energy-time inequality, no linewidth model and no empirical claim is made.
Why there is no energy-time Robertson pair
Time is a parameter, not an observable. The framework's evolution postulate P4 assigns to an isolated system a self-adjoint energy operator and the flow with a real parameter of the curve (Autonomous dynamics postulate P4: self-adjoint generators and unitary evolution, Assigned energy observable, unitary flow and the two pictures of autonomous evolution). The framework's assigned sharp observables are self-adjoint operators with spectral projection-valued measures and outcome laws (Observable and probability postulate P2: self-adjoint observables, spectral probability and finite unsharp outcomes); time is not among them: there is no assigned self-adjoint time operator whose outcome law would enter the Robertson relation of The Robertson relation for preparation spreads of assigned sharp observables, and this page introduces none. Consequently the expression is not an instance of the Robertson relation, and the symbol has no definition until a timescale constructed from observables is specified.
The conditional timescale bound
What the framework does support. The graph-domain Ehrenfest theorem Graph-domain Ehrenfest identities and the conditional timescale bound is a conditional mathematical statement about a curve that is into the graph norm of a self-adjoint , stays in (and in where stated), has unit norm and satisfies . Under those hypotheses, with and , the timescale satisfies With the energy, the Heisenberg-picture theorem identifies with the derivative of the mean of the representative observable when is bounded and preserves the energy domain, (The Heisenberg picture: equivalent predictions and the domain-qualified equation of motion clause (c)). Boundedness alone does not imply this domain-invariance condition. For a domain-qualified, possibly unbounded , the graph-domain theorem still gives the Schroedinger-picture derivative stated above, but no Heisenberg-picture identification is asserted here. The spreads and are preparation spreads in the sense of Preparation variance and spread of an assigned sharp observable, and the theorem's clause (d) records that when the quotient supplies no timescale at all.
What is not claimed. The timescale depends on the chosen observable and on the state: different choices give different numbers, and no universal "lifetime" or "duration" of the system is defined. No time operator, no energy-time Robertson inequality, no claim that an energy uncertainty is a linewidth and no relation such as is asserted by P1-P6; such statements require additional model assumptions (an apparatus or clock model, a decay model or an analytic continuation) that are outside this page. The heuristic accounts of measurement disturbance in the literature are not identities of the framework and are not used as premises here.
Remarks
- Relation to the preparation-spread results. The timescale bound is a Robertson-type estimate applied to the pair (energy, chosen observable) along a curve; it does not weaken or strengthen the preparation-spread relation of The Robertson relation for preparation spreads of assigned sharp observables, which concerns a single preparation and two observables.
- No empirical content. No measured lifetime, linewidth or energy uncertainty is recorded here, and no comparison with data is attempted.
Preparation spread, apparatus resolution and disturbance are different objects
A scope and reading remark separating three notions on the uncertainty and compatibility page and the measurement page of the category: the preparation spread of an outcome law, the resolution or error of a declared apparatus, and the disturbance of the preparation produced by a measurement. The remark records that the framework's postulates define the first through the Born law and the second and third only through declared instruments and apparatus models, and that no universal error-disturbance relation, no universal disturbance bound and no empirical result is asserted. It proves nothing itself.
Three distinct objects
Preparation spread. For an assigned sharp observable and a preparation , the spread of Preparation variance and spread of an assigned sharp observable is the standard deviation of the outcome law that the observable and probability postulate assigns to the pair : it is a property of the preparation and the assigned observable, computed from the Born law alone, and it exists only under the stated moment hypotheses. The inequalities of The Robertson relation for preparation spreads of assigned sharp observables concern these spreads and nothing else.
Apparatus resolution or error. A finite-resolution apparatus is modeled in this category by a declared instrument with effects and an update rule (Declared ideal measurements and instruments of the framework; clause (iv) of P2 and the ideal conditional measurement postulate P3 in the readings of Ideal conditional measurement postulate P3: the projective Lueders update and discarded outcomes). Whether a declared effect family approximates a target observable, and by how much, is a property of the chosen instrument: the postulates do not attach a universal error parameter to a sharp observable, and the effects alone do not determine the update (Outcome effects do not determine the conditional update, and general instruments need not be repeatable).
Disturbance. The state change produced by a measurement is likewise part of the declared instrument: for the framework's declared ideal sharp measurement the conditional and discarded-outcome updates are specified in Consequences of a declared ideal sharp measurement: repeatability and discarded ensembles, and they are idealizations, not claims about every apparatus. The framework's postulates assign no universal disturbance to "a measurement of position" as such.
What is and is not asserted
No conflation. The Robertson relation bounds the product of two preparation spreads; it does not bound an apparatus error, it does not bound a disturbance, and it is not a statement that measuring one quantity "must" perturb another by a fixed amount. The heuristic accounts of measurement intrusion in the literature are accordingly used on this page at most as motivation: the exact statements are the preparation-spread results, and the identification of a concrete apparatus with a declared instrument is a tested identification with uncertainty under the preparation and apparatus postulate P7 (Preparation and apparatus postulate P7: declared preparations, isolation and sampling assumptions).
No universal error-disturbance relation is recorded. This page and the measurement page contain no theorem of the form "error times disturbance is at least ": such a statement would require declared error and disturbance quantifiers for an instrument and its own proof. What is recorded here is only the separation of the three objects and the conditional results actually proved on the two pages.
Remarks
- Why the distinction is load-bearing. An experiment that reports a finite resolution, a detection efficiency or a background model is reporting apparatus properties; a preparation spread is a model quantity of the state and the assigned observable. Agreement of a measured histogram with a predicted distribution tests the combined preparation, apparatus and observable identification, not the inequality alone.
- Disturbance is model-dependent. Two declared instruments with the same outcome effects can have different updates and hence different disturbances, as Outcome effects do not determine the conditional update, and general instruments need not be repeatable records; a disturbance claim must therefore name its instrument.
What the examples companion records and what it does not
A scope audit of the examples companion of the uncertainty and compatibility pair: it records that the companion contains one exact model computation, one finite internal-factor deduction, one purely mathematical counterexample and three remark items (the energy-time caveat, the error-disturbance distinction and this inventory audit); that it contains no experiment, no apparatus realization, no measured value, no trial count and no statistical inference; and that every identification of a preparation or apparatus with the model's objects is a tested identification under P7. It proves nothing itself.
What the companion contains
One exact model computation. The Gaussian family attains the position-momentum bound in the massive model computes the position and momentum densities and spreads of the Gaussian family in the spinless massive model and verifies that the product equals with the centered vectors linearly dependent and their pairing purely imaginary, realizing the equality case of The position-momentum preparation relation of the massive spin-s model. It is a statement about one family of preparations of the model; it contains no dynamics, no detection model and no measured number, and it does not characterize all equality states. The spectral outcome-law and moment steps use the Axiom of Choice, as recorded in the example's assumptions.
One finite internal-factor deduction. Spin one half: spread identity, incompatible component outcomes and saturated Robertson bounds derives the spread identity for the spin- internal factor, the lower bound , the failure of spectral compatibility for every pair of components, and the saturation of the Robertson bound in the eigenstates. It is a conditional deduction inside the model's internal factor; it asserts no Stern-Gerlach apparatus, no dynamics and no measurement.
One purely mathematical counterexample. A commutator vanishing on a dense invariant domain does not imply strong spectral commutation is a statement of pure mathematics about two self-adjoint extensions of the interval momentum operator: it refutes the implication from a commutator identity on a dense invariant domain to strong spectral commutation. It carries no physical premise and makes no physical claim.
Three remark items. Time is not an observable of the framework: the conditional timescale bound records that time is a parameter and not an observable, so no energy-time Robertson pair exists here and only the conditional timescale bound is available; Preparation spread, apparatus resolution and disturbance are different objects separates preparation spread, apparatus resolution and disturbance. Both are readings of other items, not new theorems. This item is the third remark item and audits the companion's inventory and evidence scope.
What it does not contain
No experiment and no data. The companion records no preparation procedure, apparatus, calibration, trial count, count rate, histogram, uncertainty budget or statistical analysis, and it uses no empirical premise. Every quantity computed here is a model quantity. Any comparison with data would test the combined model and apparatus assumptions through the identification of a preparation and an apparatus with the model's objects, a tested identification with uncertainty under the preparation and apparatus postulate P7 (Preparation and apparatus postulate P7: declared preparations, isolation and sampling assumptions), and would not turn the conditional results into unconditional statements about nature.
No universal claims. The Gaussian family is not all preparations; the spin deduction concerns the internal factor of the model; the counterexample concerns two specific operators. In particular the companion does not claim that every state attaining is Gaussian, that every pair of incompatible components excludes all forms of joint measurement, or that the timescale bound is a universal energy-time relation.
Remarks
- Reading order. The mathematical items precede the model computations on the main page; the companion consumes the main page's items and adds no new supplier to them.
- Status. As everywhere in this category, agreement of the conditional predictions with a laboratory result would be evidence for the combined model and apparatus assumptions, not a proof of the framework; the companion reports no such result.
Sources
- D. Tong, Quantum Mechanics (author-hosted lecture set), Section 3.4.1, printed pages 86-88 (PDF pages 89-91): the Gaussian wavepacket, its position and momentum variances and the saturation Delta x Delta p = hbar/2
- J. Binney and D. Skinner, The Physics of Quantum Mechanics, Sections 2.3.2-2.3.3 and Box 2.3, printed pages 27-31 (PDF pages 35-39): the Gaussian packet's momentum-space amplitude, the dispersion product sigma_p sigma = hbar/2 and the Gaussian integral
- B. Zwiebach, MIT 8.05 Quantum Physics II (Fall 2013), Chapter 5 'Uncertainty Principle and Compatible Observables', Section 2, printed pages 3-6: the saturation conditions of the uncertainty inequality
- 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 and its saturation conditions, with the position-momentum example
- B. Zwiebach, MIT 8.05 Quantum Physics II (Fall 2013), Chapter 2 'Spin One-half, Bras, Kets, and Operators', sections 3.3-3.5, printed pages 10-15: the Pauli matrices S_i = (hbar/2) sigma_i, the anticommutation relations {sigma_i,sigma_j} = 2 delta_ij 1 and the product formula (a dot sigma)(b dot sigma)
- J. Binney and D. Skinner, The Physics of Quantum Mechanics, Section 7.4.2, printed pages 161-164 (PDF pages 169-172): the spin-half matrices, their commutation relations and incompatible spin components
- G. Teschl, Mathematical Methods in Quantum Mechanics, 1st edition 2009, Section 9.1, printed pages 181-186 (PDF pages 193-198): self-adjoint boundary conditions of a first-order differential expression on an interval, and the dependence of the spectrum on the boundary condition
- Haim Brezis, Functional Analysis, Sobolev Spaces and Partial Differential Equations (Springer Universitext 2011), Sections 8.1-8.2 printed pages 201-210 and Section 8.4 printed page 227 (PDF pages 216-225 and 242): Sobolev spaces in one dimension, the absolutely continuous representative, and Example 7 on periodic boundary conditions
- B. Zwiebach, MIT 8.05 Quantum Physics II (Fall 2013), Chapter 5 'Uncertainty Principle and Compatible Observables', Section 3, printed pages 6-9: time is a parameter, not an operator; the timescale Delta t_Q := Delta Q / |d<Q>/dt| and the inequality Delta H Delta t_Q >= hbar/2 for time-independent Q
- B. Zwiebach, MIT 8.05 Quantum Physics II (Fall 2013), Chapter 6 'Quantum Dynamics', Sections 3.1-3.3, printed pages 18-24: the Heisenberg equation of motion and the reading of d<Q>/dt through the commutator with the Hamiltonian
- D. Tong, Quantum Mechanics (author-hosted lecture set), Section 3.4.1, printed pages 86-87 (PDF pages 89-90): the heuristic photon-recoil discussion of the uncertainty principle, presented as a heuristic and following the exact position-momentum inequality
- D. Tong, Quantum Mechanics (author-hosted lecture set), Sections 3.3-3.4.1, printed pages 76-88 (PDF pages 79-91): the measurement postulate, the intrusive-measurement heuristic for position and momentum, and the exact preparation-spread inequality
- J. Binney and D. Skinner, The Physics of Quantum Mechanics, Section 1.4, printed page 15 (PDF page 23): the ideal measurement assumption and the resulting state change
- G. Teschl, Mathematical Methods in Quantum Mechanics, 1st edition 2009, Chapter 3, printed pages 87-100 (PDF pages 99-112): the probability interpretation of the spectral measure on which the preparation spread is defined
- B. Zwiebach, MIT 8.05 Quantum Physics II (Fall 2013), Chapter 5 'Uncertainty Principle and Compatible Observables', printed pages 1-19: uncertainty, saturation, the energy-time discussion and simultaneous diagonalization
- D. Tong, Quantum Mechanics (author-hosted lecture set), Sections 3.4-3.4.1, printed pages 81-88 (PDF pages 84-91): the compatibility claim with its non-degeneracy caveat and the exact position-momentum relation