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Qm Uncertainty And Compatibility

1 · Prerequisites

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-s 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 (A,uA) and a preparation ρ, ΔρA 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 ΔQjΔPj≥ℏ/2 on the full maximal domain of the pair, with the exact imaginary part −ℏ/2 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 f(A)g(B). 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 ℏ/2 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

DefinitionDefinition: AI-adaptedProof: Not applicableOpen item page →

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 (ACω)), the choice hypotheses of the spectral theorem. Let H be a nonzero complex Hilbert space (Hilbert space) and let A and B be self-adjoint operators on H with domains D(A) and D(B) (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 R (Spectral theorem for unbounded self-adjoint operators (PVM form), Projection valued measure, The Borel sigma-algebra of a topological space); write EA for the spectral projection-valued measure of A and EB for that of B.

(b) Strong spectral commutation. The operators A and B strongly commute, or are spectrally compatible, when their spectral projection-valued measures commute on every pair of Borel sets: EA(Λ)EB(Σ)=EB(Σ)EA(Λ)for all Borel Λ,Σ⊆R. 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 D be a dense linear subspace of D(A)∩D(B) such that AD⊆D and BD⊆D. Then ABu and BAu are defined for every u∈D. Strong spectral commutation implies ABu=BAu on D: Teschl's bounded Borel calculus for a strongly commuting pair gives, for each bounded Borel function h, h(B)D(A)⊆D(A) and Ah(B)x=h(B)Ax for x∈D(A) (Section 4.2, Lemma 4.5). Apply this with hn(λ)=λ1[−n,n](λ). For u∈D, both u and Au belong to D(B), so the spectral theorem gives hn(B)u→Bu and hn(B)Au→BAu. Since Ahn(B)u=hn(B)Au and A is closed, it follows that Bu∈D(A) and ABu=BAu. 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 A and B, if the commutator vanishes on a dense D, boundedness extends AB=BA to all of H; 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 A and B the products AB and BA may be defined on different domains, so the expression AB−BA need not be an operator at all; the spectral projections EA(Λ) and EB(Σ) 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 A and B; the notation EA(Λ)EB(Σ)=EB(Σ)EA(Λ) is a single condition on each pair of Borel sets, not two conditions.
LemmaStatement: AI-adaptedProof: AI-adaptedprecheck passOpen item page →

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 (ACω)). Let H 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 A,B be symmetric densely defined operators on H (Symmetric, self-adjoint and essentially self-adjoint operators, Adjoint of a densely defined operator), and let u∈D(A)∩D(B) with ∥u∥=1 satisfy in addition u∈D(AB)∩D(BA), that is Bu∈D(A) and Au∈D(B). Put a:=⟨Au,u⟩,b:=⟨Bu,u⟩,x:=(A−a)u,y:=(B−b)u,ΔA:=∥x∥,ΔB:=∥y∥, and write {A,B}u:=ABu+BAu and [A,B]u:=ABu−BAu for the pairings at u. Then:

(a) a,b∈R, x,y∈H, and Re⁡⟨x,y⟩=12⟨{(A−a),(B−b)}u,u⟩=12⟨{A,B}u,u⟩−ab,⟨[A,B]u,u⟩=−2iIm⁡⟨x,y⟩;

(b) (Robertson bound) ΔA ΔB≥12∣⟨[A,B]u,u⟩∣;

(c) (Schroedinger-Robertson bound) (ΔA)2(ΔB)2≥(12⟨{(A−a),(B−b)}u,u⟩)2+14∣⟨[A,B]u,u⟩∣2, that is, with the expanded anticommutator pairing (ΔA)2(ΔB)2≥(12⟨{A,B}u,u⟩−ab)2+14∣⟨[A,B]u,u⟩∣2;

(d) equality holds in (c) if and only if x and y are linearly dependent; in particular the Robertson bound (b) follows from (c) because the first square is nonnegative;

(e) if A and B are bounded everywhere-defined self-adjoint operators, then the product-domain hypothesis u∈D(AB)∩D(BA) holds for every unit u∈H and clauses (a)-(d) apply to every unit u.

No energy-time inequality and no apparatus statement is made.

Facts & Assumptions

Given: The Axiom of Countable Choice; a complex Hilbert space H; symmetric densely defined A,B; a unit u∈D(A)∩D(B) with u∈D(AB)∩D(BA); the numbers a,b and vectors x,y.

[F1]

Covariance-refined uncertainty. For symmetric densely defined A,B and a unit u∈D(A)∩D(B), with a,b,x,y as above: a,b are real and x,y∈H; Cov⁡u(A,B):=Re⁡⟨x,y⟩ is real and symmetric; the refined bound (ΔA)2(ΔB)2≥[Re⁡⟨x,y⟩]2+[Im⁡⟨x,y⟩]2 holds, with equality if and only if x,y are linearly dependent; and if u∈D(AB)∩D(BA) then ⟨[A,B]u,u⟩=−2iIm⁡⟨x,y⟩ and (ΔA)2(ΔB)2≥[Re⁡⟨x,y⟩]2+14∣⟨[A,B]u,u⟩∣2 (Covariance-refined preparation uncertainty without operator products clauses (a)-(d)).

[F2]

Commutator pairing. If u∈D(AB)∩D(BA) then ([A,B]u,u)=⟨ABu,u⟩−⟨BAu,u⟩=−2iIm⁡⟨Au,Bu⟩, and ⟨x,y⟩=⟨Au,Bu⟩−ab with real a,b (Weak-form Robertson uncertainty on a common domain clauses (a) and (c)).

[F3]

Inner products and Cauchy-Schwarz. For z∈C one has ∣z∣2=(Re⁡z)2+(Im⁡z)2, and ∥v∥ ∥w∥≥∣⟨v,w⟩∣ with equality if and only if v,w are linearly dependent (Cauchy–Schwarz: ∣⟨u,v⟩∣≤∥u∥∥v∥, with equality exactly for linearly dependent vectors).

[F4]

Bounded operators. A bounded everywhere-defined self-adjoint operator on H has domain H, so for bounded self-adjoint A,B the hypotheses u∈D(A)∩D(B) and u∈D(AB)∩D(BA) hold for every u∈H (A bounded linear operator between normed spaces, Symmetric, self-adjoint and essentially self-adjoint operators).

Proof

technique · expand the two pairings of the centered vectors in terms of the anticommutator and commutator pairings using symmetry of the operators, then read the Schroedinger-Robertson inequality off the refined Cauchy-Schwarz bound

Given: The data of the statement and [F1]-[F4].

1.1givenF1

[Means and centered vectors] By [F1] the numbers a and b are real and x=(A−a)u, y=(B−b)u lie in H, so ΔA=∥x∥ and ΔB=∥y∥ are the norms of the centered vectors.

2.1step 1.1F2algebra

[The real part is the anticommutator pairing] Since Bu∈D(A) and Au∈D(B), symmetry of A gives ⟨ABu,u⟩=⟨Bu,Au⟩=⟨Au,Bu⟩‾ and symmetry of B gives ⟨BAu,u⟩=⟨Au,Bu⟩. Adding, ⟨{A,B}u,u⟩=2Re⁡⟨Au,Bu⟩. By [F2], ⟨x,y⟩=⟨Au,Bu⟩−ab with ab∈R, hence Re⁡⟨x,y⟩=Re⁡⟨Au,Bu⟩−ab=12⟨{A,B}u,u⟩−ab. Expanding the anticommutator of the centered operators, using a,b∈R and ⟨Au,u⟩=a, ⟨Bu,u⟩=b, gives ⟨{(A−a),(B−b)}u,u⟩=⟨{A,B}u,u⟩−2ab, so the two displays for the real part agree.

3.1step 2.1F2algebra

[The imaginary part is the commutator pairing] By [F2], ⟨[A,B]u,u⟩=−2iIm⁡⟨Au,Bu⟩; by step 2.1 and [F2], Im⁡⟨x,y⟩=Im⁡⟨Au,Bu⟩, so ⟨[A,B]u,u⟩=−2iIm⁡⟨x,y⟩. This completes (a).

4.1step 2.1step 3.1F1F3algebra

[The two bounds] By [F1] the refined bound (ΔA)2(ΔB)2≥[Re⁡⟨x,y⟩]2+[Im⁡⟨x,y⟩]2 holds. Substituting step 2.1 and ∣Im⁡⟨x,y⟩∣=12∣⟨[A,B]u,u⟩∣ from step 3.1 gives (c); dropping the nonnegative first square gives (b).

5.1step 4.1F1

[Equality] By [F1] equality in the refined bound holds if and only if x,y are linearly dependent; this is (d).

6.1givenF4∎

[Bounded case] If A and B are bounded everywhere-defined self-adjoint operators then D(A)=D(B)=H and all products are everywhere defined, so the product-domain hypothesis of the statement holds for every unit u∈H by [F4]; the displays of (a)-(d) are then unconditional in u. This is (e).

DefinitionDefinition: AI-adaptedProof: Not applicableOpen item page →

Preparation variance and spread of an assigned sharp observable

Physical scope

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 (ACω), The Axiom of Choice). Let (A,uA) be an assigned sharp observable with declared unit uA and outcome law μρA in a preparation ρ, in the sense of Assigned sharp observables and the outcome law of the framework clause (b).

(b) Preparation variance. When the mean m(ρ):=∫Rλ dμρA(λ) and the second moment ∫Rλ2 dμρA(λ) of the outcome law are finite, the preparation variance of (A,uA) in ρ is Var⁡ρ(A):=∫R(λ−m(ρ))2 dμρA(λ), read in the square uA2 of the declared unit, and the preparation spread is ΔρA:=Var⁡ρ(A)1/2≥0, read in the unit uA. When either quantity is not finite the variance and the spread of the pair in ρ 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 ψ∈D(A) the spread is ΔψA=∥(A−⟨Aψ,ψ⟩I)ψ∥, equal to (⟨A2ψ,ψ⟩−⟨Aψ,ψ⟩2)1/2 when ψ∈D(A2); for a preparation ρ 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 ρ=∑nwnTun,un, the mean is finite exactly when ∑n:wn>0wn∫R∣λ∣ dEA,un(λ)<∞, 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 D(∣A∣1/2) 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 (A,uA) and (B,uB) in a common preparation ρ in which both spreads are defined, the product ΔρA ΔρB is a nonnegative real number read in the product unit uAuB; for a pure preparation of a unit vector in D(A)∩D(B) it is ∥(A−a)ψ∥ ∥(B−b)ψ∥ with the real means a=⟨Aψ,ψ⟩ and b=⟨Bψ,ψ⟩.

(e) Reading and scope. The spread ΔρA 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 A with resolution uA, or that the spread is observed in any experiment; the identification of an apparatus with the pair (A,uA) 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 ψ∈D(A), clause (c) shows ΔψA=0 exactly when Aψ=⟨Aψ,ψ⟩ψ, that is exactly when ψ is an eigenvector of A; 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 A and B, 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.
LemmaStatement: AI-adaptedProof: AI-adaptedprecheck passOpen item page →

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 (ACω)). Let H be a nonzero complex Hilbert space and let A,B be self-adjoint operators on H with spectral projection-valued measures EA,EB that strongly commute in the sense of Strong spectral commutation of self-adjoint operators clause (b): EA(Λ)EB(Σ)=EB(Σ)EA(Λ)for all Borel Λ,Σ⊆R. For a bounded Borel function h write h(A):=∫h dEA and h(B):=∫h dEB for its operators under the bounded Borel functional calculus (Bounded borel pvm integral). Then:

(a) for all bounded Borel f,g:R→C, f(A)g(B)=g(B)f(A);

(b) for every bounded Borel f one has f(B)D(A)⊆D(A), and A f(B)x=f(B)Axfor every x∈D(A); the same statement holds with the roles of A and B exchanged, and it is also true with f(B) replaced by any bounded linear combination or norm limit of bounded Borel functions of B;

(c) for every bounded Borel f the bounded operator f(B) commutes with all spectral projections of A: f(B)EA(Λ)=EA(Λ)f(B) for every Borel Λ⊆R. Consequently, for real-valued bounded Borel f the pair (f(A),B) strongly commutes: the map F(Λ):=EA(f−1(Λ)) is a projection-valued measure on the Borel sets of R representing the bounded self-adjoint operator f(A), and F(Λ)EB(Σ)=EB(Σ)F(Λ) for all Borel Λ,Σ; hence also (f(A),g(B)) strongly commutes for real-valued bounded Borel f,g.

Facts & Assumptions

Given: The Axiom of Choice and the Axiom of Countable Choice; a nonzero complex Hilbert space H; self-adjoint operators A,B with strongly commuting spectral projection-valued measures EA,EB; bounded Borel functions f,g,h; vectors x∈D(A) and y∈D(B).

[F1]

Bounded Borel calculus. For bounded Borel h the operator ΦE(h)=∫h dE is the unique bounded operator with ⟨ΦE(h)x,y⟩=∫h dEx,y, it satisfies ∥ΦE(h)∥≤∥h∥∞, ⟨ΦE(h)x,x⟩=∫h dEx and ∥ΦE(h)x∥2=∫∣h∣2 dEx, it is the norm limit of ∫sn dE for every sequence of complex simple functions with ∥h−sn∥∞→0, and for a simple function s=∑jcj1Dj over a disjoint measurable cover one has ∫s dE=∑jcjE(Dj) (Bounded borel pvm integral clauses 1 and 2). A projection-valued measure is multiplicative, E(Λ∩Σ)=E(Λ)E(Σ), and every value is an orthogonal projection (Projection valued measure).

[F2]

Star homomorphism. The map h↦ΦE(h) is linear and unital, multiplicative, and adjoint preserving: ΦE(hg)=ΦE(h)ΦE(g) and ΦE(h‾)=ΦE(h)∗ (Pvm integral is a star homomorphism clauses 1-3).

[F3]

Spectral theorem and truncated integrals. The spectral projection-valued measure of a self-adjoint operator is unique, its scalar measures EA,x(Λ)=⟨EA(Λ)x,x⟩ are finite Borel measures with EA,x(R)=∥x∥2, and D(A)={x:∫λ2 dEA,x<∞} with ∥Ax∥2=∫λ2 dEA,x for x∈D(A) (Spectral theorem for unbounded self-adjoint operators (PVM form)). For g:R→C Borel the operator g(A) has domain {x:∫∣g∣2 dEA,x<∞} and satisfies ∥g(A)x∥2=∫∣g∣2 dEA,x; the operators An:=∫λ1{∣λ∣≤n} dEA are bounded with ∥Anx∥2=∫λ21{∣λ∣≤n} dEA,x, and Anx→Ax for every x∈D(A) (Unbounded Borel functional calculus: domains, products, spectral mapping; Bounded borel pvm integral for the bounded truncations).

[F4]

Norm convergence of simple approximants. For every bounded complex-valued Borel function h on R and every ε>0 there is a complex simple Borel function s with ∥h−s∥∞≤ε: choose M>∥h∥∞ and partition the square [−M,M]+i[−M,M]⊂C into finitely many Borel squares of diameter at most ε. Their inverse images under h, after empty sets are removed, form a finite disjoint measurable cover; choose a value in each square and let s take that value on its inverse image. Then ∥ΦE(h)−ΦE(s)∥≤∥h−s∥∞ by [F1].

[F5]

Regularity on the real line. Scalar measures of any PVM are finite positive measures of mass ∥x∥2 (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 R is locally compact (Rn is locally compact and σ-compact at n=1) and Hausdorff (Distinct points of a metric space have disjoint balls around them). Every open U⊆R is a countable union of rational intervals (a,b) (Every open subset of the real line is a countable union of open intervals with rational endpoints); each is the union over k≥0 of the compact intervals [a+(b−a)/(k+3),b−(b−a)/(k+3)] (Heine-Borel by bisection: every closed bounded interval [a,b] is compact). Thus every open set is sigma-compact, including the empty set.

[F6]

Monotone convergence. For increasing nonnegative measurable functions, the integral of the limit is the limit of the integrals (Monotone convergence for the integral).

Proof

technique · verify the commutation on simple functions, transfer it to all bounded Borel functions by uniform approximation in operator norm, and control the domain statement by truncating the unbounded operator

Given: The data of the statement and [F1]-[F6].

1.1givenF1algebra

[Simple functions commute] Let f=∑iai1Λi and g=∑jbj1Σj be complex simple Borel functions over disjoint measurable covers. By [F1], f(A)=∑iaiEA(Λi) and g(B)=∑jbjEB(Σj), so f(A)g(B)=∑i,jaibjEA(Λi)EB(Σj)=∑i,jaibjEB(Σj)EA(Λi)=g(B)f(A), because products of scalars commute and each pair of projections commutes by the strong commutation hypothesis.

1.2F1F4constructalgebra

[Uniform approximation] Let f,g be bounded Borel and fix ε>0. By [F4] choose simple s,t with ∥f−s∥∞≤ε and ∥g−t∥∞≤ε. By [F1], ∥s(A)−f(A)∥≤ε, ∥t(B)−g(B)∥≤ε and ∥t(B)∥≤∥g∥∞+ε, so the operator norm estimate ∥s(A)t(B)−f(A)g(B)∥≤∥s(A)−f(A)∥ ∥t(B)∥+∥f(A)∥ ∥t(B)−g(B)∥≤ε(∥g∥∞+ε+∥f∥∞) gives s(A)t(B)→f(A)g(B) in operator norm as ε↓0, with the approximants chosen along any sequence εn→0.

2.1step 1.1step 1.2F1algebra

[Clause (a)] Let f,g be bounded Borel and choose the approximating sequences sn→f, tn→g of step 1.2. By step 1.1, sn(A)tn(B)=tn(B)sn(A) for every n; both sides converge in operator norm to f(A)g(B) and to g(B)f(A) respectively by step 1.2 (applied to the pairs (sn,tn) and (tn,sn)). Limits in operator norm are unique, so f(A)g(B)=g(B)f(A). This is (a).

3.1step 2.1F1algebra

[Clause (c), first part] Let f be bounded Borel and let Λ be Borel. Applying (a), already proved, to the bounded Borel function 1Λ of A and f of B gives EA(Λ)f(B)=f(B)EA(Λ). This is the first assertion of (c).

4.1step 3.1F1F3F6algebra

[Clause (b), membership in the domain] Fix a bounded Borel f and x∈D(A); put y:=f(B)x. Put un(λ):=λ1{∣λ∣≤n}, so that An=∫un dEA is a bounded Borel function of A; clause (a), already proved, applied to the pair of bounded Borel functions (un,f) gives Anf(B)=f(B)An, so by [F1] and [F3] ∫λ21{∣λ∣≤n} dEA,y=∥Any∥2=∥Anf(B)x∥2=∥f(B)Anx∥2≤∥f(B)∥2∥Anx∥2≤∥f(B)∥2∥Ax∥2, where the last step uses ∥Anx∥≤∥Ax∥ for x∈D(A). Letting n→∞ and using monotone convergence on the left (equivalently the identities of [F3]) gives ∫λ2 dEA,y≤∥f(B)∥2∥Ax∥2<∞, so y∈D(A).

5.1step 4.1F1F3algebra

[Clause (b), action] With x and y=f(B)x as in step 4.1, both x and y lie in D(A). By [F3], Anx→Ax and Any→Ay. Using Anf(B)=f(B)An from step 4.1, Ay=lim⁡nAny=lim⁡nAnf(B)x=lim⁡nf(B)Anx=f(B)Ax, the last equality because f(B) is bounded and Anx→Ax. Hence Af(B)x=f(B)Ax for every x∈D(A). Exchanging the roles of A and B gives the other asserted identity, since the strong commutation hypothesis is symmetric.

6.1step 5.1F1algebra

[Norm limits of functions of B] Let Tn be a sequence of bounded Borel functions of B that converges in operator norm to a bounded operator T. By steps 4.1-5.1, for every x∈D(A) one has Tnx∈D(A) and ATnx=TnAx. Thus Tnx→Tx and ATnx=TnAx→TAx. Since the self-adjoint operator A is closed, Tx∈D(A) and ATx=TAx. Finite bounded linear combinations are again bounded Borel functions of B, so the same domain and action identities hold for them. This completes (b).

7.1step 3.1F1F2F3F4F5F6algebra∎

[Clause (c), composition] Let f be real-valued and bounded Borel and put F(Λ):=EA(f−1(Λ)) for Borel Λ⊆R. Preimages preserve the empty set, the whole space, complements and countable unions, so F is a projection-valued measure. Each Fx is a finite positive Borel measure, hence finite on compact sets, and is regular by [F5]; thus F is a regular PVM. For a complex simple u=∑ici1Di the preimages f−1(Di) are pairwise disjoint, so ∫u dF=∑iciF(Di)=∑iciEA(f−1(Di))=∫(u∘f) dEA; both sides extend to bounded Borel u by the uniform approximation of [F1] and [F4], giving, for every x∈H, the scalar identity ∫u dFx=∫(u∘f) dEA,x. Taking u(λ)=vn(λ):=λ21{∣λ∣≤n} and letting n→∞ by [F6] gives ∫λ2 dFx=∫f2 dEA,x=∥f(A)x∥2<∞, where the last equality is [F1] for the bounded f; and, choosing R>∥f∥∞, F(R∖[−R,R])=0, so applying the operator identity to u(λ)=λ1[−R,R](λ) gives ∫λ dFx,y=∫f dEA,x,y=⟨f(A)x,y⟩ for all x,y∈H. Since f is real-valued, the adjoint-preservation clause of [F2] gives f(A)∗=ΦEA(f‾)=ΦEA(f)=f(A), so f(A) is self-adjoint, and f(A) is bounded by [F1]. By the uniqueness of the spectral projection-valued measure of a self-adjoint operator in [F3], F is the spectral projection-valued measure of the bounded self-adjoint operator f(A). By the strong commutation hypothesis, F(Λ)EB(Σ)=EA(f−1(Λ))EB(Σ)=EB(Σ)EA(f−1(Λ))=EB(Σ)F(Λ), so (f(A),B) strongly commutes. Applying the same argument once more, now to the pair (f(A),B) and the real-valued bounded Borel function g, shows that (f(A),g(B)) strongly commutes. This completes (c).

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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 (ACω)). Let H be a nonzero complex Hilbert space and let A,B be self-adjoint operators on H with spectral projection-valued measures EA,EB (Spectral theorem for unbounded self-adjoint operators (PVM form), Projection valued measure). Then the following are equivalent:

(i) A and B strongly commute in the sense of Strong spectral commutation of self-adjoint operators clause (b), that is EA(Λ)EB(Σ)=EB(Σ)EA(Λ) for all Borel Λ,Σ⊆R;

(ii) there is a regular projection-valued measure G on the Borel sigma-algebra of R2 whose values on measurable rectangles (Measurable rectangles in a product of measurable spaces) are G(Λ×Σ)=EA(Λ)EB(Σ), and whose marginals are G(Λ×R)=EA(Λ) and G(R×Σ)=EB(Σ);

(iii) f(A)g(B)=g(B)f(A) for all bounded Borel functions f,g:R→C, where the operators are those of the bounded Borel functional calculus (Bounded borel pvm integral).

If these conditions hold, the projection-valued measure G of (ii) is unique, and for all bounded Borel f,g one has the representation f(A)g(B)=g(B)f(A)=∫R2f(a)g(b) dG(a,b).

Facts & Assumptions

Given: The Axiom of Choice and the Axiom of Countable Choice; a nonzero complex Hilbert space H; self-adjoint operators A,B on H with spectral projection-valued measures EA,EB; Borel sets Λ,Σ⊆R; bounded Borel functions f,g on R.

[F1]

Strong commutation. A and B strongly commute exactly when EA(Λ)EB(Σ)=EB(Σ)EA(Λ) for all Borel Λ,Σ, and this is a symmetric condition in A and B (Strong spectral commutation of self-adjoint operators clause (b)).

[F2]

Bounded calculus of strongly commuting operators. If A,B strongly commute, then f(A)g(B)=g(B)f(A) for all bounded Borel f,g (Bounded Borel calculus of strongly commuting self-adjoint operators clause (a)).

[F3]

Joint projection-valued measure construction. Let E,F be regular projection-valued measures on the Borel sigma-algebra of R with E(B)F(C)=F(C)E(B) for all Borel B,C⊆R. Then there is a unique regular projection-valued measure G on the Borel sigma-algebra of R2 with G(B×C)=E(B)F(C) for every measurable rectangle B×C, and its marginals are G(B×R)=E(B) and G(R×C)=F(C) (Joint PVM construction for strongly commuting regular projection-valued measures).

[F4]

Regularity of spectral measures. For every x∈H the set function EA,x(Λ)=⟨EA(Λ)x,x⟩ is a finite Borel measure on R with EA,x(R)=∥x∥2 (Scalar and complex measures from a pvm). Every Borel measure on R that is finite on compact sets is regular, because R is locally compact Hausdorff and each of its open subsets is sigma-compact (Sigma-compact open sets make locally finite Borel measures regular); hence EA and EB are regular projection-valued measures.

[F5]

Multiplicativity of projection-valued measures. A projection-valued measure G satisfies G(S∩T)=G(S)G(T) for all measurable S,T, and every value is an orthogonal projection (Projection valued measure).

[F6]

Bounded integral and star homomorphism. For a projection-valued measure E on a measurable space and bounded measurable h, the operator ΦE(h)=∫h dE satisfies ∥ΦE(h)∥≤∥h∥∞ and is the norm limit of the integrals of uniformly convergent simple approximants; the map h↦ΦE(h) 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

technique · prove the equivalence in the order (i) implies (ii) implies (i), (i) implies (iii), (iii) implies (i); obtain the representation of the last display from the unique joint projection-valued measure by simple approximation

Given: The data of the statement and [F1]-[F6].

1.1givenF1F3F4

[(i) implies (ii)] Assume (i). By [F4] the projection-valued measures EA and EB are regular, and by [F1] they commute on all Borel pairs; so [F3] supplies a unique regular projection-valued measure G on the Borel sets of R2 with G(Λ×Σ)=EA(Λ)EB(Σ) for all measurable rectangles and with the stated marginals. This is (ii), including uniqueness.

1.2givenF5

[(ii) implies (i)] Assume (ii). For Borel Λ,Σ, the multiplicativity [F5] and the marginals give EA(Λ)EB(Σ)=G(Λ×R) G(R×Σ)=G(Λ×Σ)=G(R×Σ) G(Λ×R)=EB(Σ)EA(Λ), using (Λ×R)∩(R×Σ)=Λ×Σ. This is (i).

1.3givenF2

[(i) implies (iii)] This is [F2] verbatim.

1.4givenF6

[(iii) implies (i)] Assume (iii). Taking f=1Λ and g=1Σ, which are bounded Borel, gives EA(Λ)EB(Σ)=EB(Σ)EA(Λ). This is (i).

2.1givenstep 1.1F2F5F6constructalgebra∎

[The joint representation] Assume (i)-(iii) and let G be the unique joint projection-valued measure of (ii), so that G(Λ×Σ)=EA(Λ)EB(Σ) for rectangles. Let W(h):=∫h dG denote the bounded integral against G for bounded Borel h:R2→C. For simple s=∑ici1Λi, t=∑jdj1Σj over disjoint covers of R, the disjointness of the rectangles Λi×Σj and the defining property of the simple integral against a projection-valued measure give s(A)t(B)=∑i,jcidjEA(Λi)EB(Σj)=∑i,jcidjG(Λi×Σj)=W(s⊗t). For general bounded Borel f,g choose simple sn,tn with ∥f−sn∥∞→0 and ∥g−tn∥∞→0 (uniform approximation by preimages of finite Borel partitions of bounded squares in C, as in [F6]); then ∥sn⊗tn−f⊗g∥∞→0, so by the norm bound of [F6] both sn(A)tn(B)→f(A)g(B) and W(sn⊗tn)→W(f⊗g) in operator norm, whence f(A)g(B)=W(f⊗g)=∫f(a)g(b) dG(a,b); combining with [F2] gives the displayed chain.

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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 (ACω), The Axiom of Choice). Fix integers d≥1, r≥1 and ℏ>0, let H(r)=L2(Rd;Cr) be the component-valued space with the componentwise position and momentum operators Qj,Pk of Componentwise position and momentum operators on the component-valued wave-function space clauses (a) and (b), with domains D(Qj)={f=(fl): xjfl∈L2 for all l},D(Pk)={f=(fl): Dkfl∈L2 for all l}, and let Dk denote the weak partial derivative (Weak derivative of a locally integrable function). Then:

(a) Product rule. If f∈H(r) has xjf∈L2(Rd;Cr) and xjDjf∈L2(Rd;Cr) (the latter read componentwise), then xjf lies in D(Pj) and Dj(xjf)=f+xjDjf;

(b) The product domain. D(QjPj)={f∈D(Pj): xjDjf∈L2(Rd;Cr)} and D(PjQj)={f∈D(Qj): Dj(xjf)∈L2(Rd;Cr)}, and their intersection is D(QjPj)∩D(PjQj)={f∈H(r): Djf, xjf, xjDjf∈L2(Rd;Cr)};

(c) Commutator identity. For every f∈D(QjPj)∩D(PjQj), (QjPj−PjQj)f=iℏ f;

(d) Core. The componentwise Schwartz class S(Rd;Cr) (Schwartz space and its seminorms) is contained in D(QjPj)∩D(PjQj), and (c) holds on it.

No identity of unbounded products is asserted outside D(QjPj)∩D(PjQj); in particular no identity is asserted on D(Pj) alone.

Facts & Assumptions

Given: The Axiom of Countable Choice and the Axiom of Choice; integers d,r≥1; ℏ>0; the componentwise operators Qj,Pk with the displayed domains; a class f∈H(r); a coordinate index j.

[F1]

Domains and actions. Qj and Pk are self-adjoint with the maximal componentwise domains displayed in the Statement, (Qjf)l=xjfl and (Pkf)l=−iℏDkfl componentwise, and D(Pk)={f: ξkF2(r)f∈L2} (Componentwise position and momentum operators on the component-valued wave-function space clauses (a), (b)). Hence, for a class f, the products QjPjf and PjQjf are defined exactly by the memberships Pjf∈D(Qj) and Qjf∈D(Pj) respectively, that is xjDjf∈L2 and Dj(xjf)∈L2 in the componentwise reading; no other hypothesis enters the definitions of the product domains.

[F2]

Weak Leibniz rule with a smooth factor. Let Ω⊆Rn be open, η∈C∞(Ω;C), and u∈Lloc1(Ω;C); suppose u has weak derivatives Dγu∈Lloc1(Ω;C) for all γ≤α. Then ηu has a weak α-derivative, and its almost-everywhere class is Dα(ηu)=∑β≤α(αβ)(Dβη)Dα−βu (Weak Leibniz rule with a smooth factor). With α=ej and η(x)=xj this gives Dj(xju)=u+xjDju in Lloc1 for every u∈Lloc1 whose weak j-derivative exists in Lloc1.

[F3]

Componentwise reading and Schwartz core. Weak differentiation, multiplication by xj and the L2 condition are read componentwise; a class lies in S(Rd;Cr) exactly when all of its components lie in the scalar Schwartz class (Schwartz space and its seminorms, The space Lp(μ) as the quotient by null functions); the Schwartz class is contained in D(Qj)∩D(Pk), is mapped into itself by Qj and Pk, and satisfies the canonical commutation relation (QjPj−PjQj)f=iℏf there (Canonical commutation relations on the component-valued core and commutation with the internal factor clauses (a) and (d)).

[F4]

Local square-integrability. L2(Rd;Cr)⊆Lloc1(Rd;Cr) componentwise, by the Cauchy-Schwarz bound on bounded measurable sets (Cauchy–Schwarz: ∣⟨u,v⟩∣≤∥u∥∥v∥, with equality exactly for linearly dependent vectors, The space Lp(μ) as the quotient by null functions).

Proof

technique · apply the weak Leibniz rule with the smooth factor $x_{j}$ componentwise, read the product domains off the definitions, and assemble the commutator with the two actions

Given: The data of the statement and [F1]-[F4].

1.1givenF2F4algebra

[The product rule] Let f∈H(r) with xjf∈L2 and xjDjf∈L2. Componentwise, fl∈L2⊆Lloc1 by [F4]. The occurrence of Djfl in the hypothesis uses the stated locally integrable weak derivative; no global L2 membership of Djfl is needed for clause (a). Thus [F2] with α=ej and η=xj applies and gives Dj(xjfl)=fl+xjDjfl in Lloc1 for every l. The right-hand side is a component of an L2 class by hypothesis, so Dj(xjf)∈L2 componentwise and xjf∈D(Pj) with the displayed identity. This is (a).

2.1step 1.1F1algebra

[The two product domains] By [F1], D(QjPj)={f: Pjf∈D(Qj)}={f∈D(Pj): xjDjf∈L2} and D(PjQj)={f: Qjf∈D(Pj)}={f∈D(Qj): Dj(xjf)∈L2}, which are the first two displays of (b). For the intersection, the inclusion ⊆ is immediate from these displays; conversely, if f∈H(r) has Djf, xjf and xjDjf in L2, then f∈D(Pj)∩D(Qj) and step 1.1 gives Dj(xjf)=f+xjDjf∈L2, so f lies in both product domains. This is (b).

3.1step 1.1step 2.1F1algebra

[The commutator] Let f∈D(QjPj)∩D(PjQj). By [F1] and step 2.1, (QjPjf)l=xj(−iℏDjfl)=−iℏ xjDjfl componentwise, while (PjQjf)l=−iℏDj(xjfl)=−iℏ(fl+xjDjfl) by step 1.1. Subtracting componentwise, ((QjPj−PjQj)f)l=−iℏxjDjfl+iℏfl+iℏxjDjfl=iℏfl, so (QjPj−PjQj)f=iℏf. This is (c).

4.1step 2.1step 3.1F3∎

[The core] Every component of a Schwartz class lies in the scalar Schwartz class, which is closed under multiplication by xj and under Dj and is contained in L2; hence Djf, xjf and xjDjf are in L2, and step 2.1 places S(Rd;Cr) in the intersection. The identity of (c), together with [F3], gives (d).

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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 (ACω), The Axiom of Choice). Fix integers d≥1, r≥1 and ℏ>0, and let H(r)=L2(Rd;Cr) with the componentwise position and momentum operators Qj,Pj of Componentwise position and momentum operators on the component-valued wave-function space. Let ψ∈D(Qj)∩D(Pj) with ψ≠0 be a class and let DP:=D(QjPj)∩D(PjQj) be the product domain characterized in The position-momentum commutator identity on the product domain clause (b). Then there is a sequence (φn)n≥1⊆DP with φn→ψ∥ψ∥,Qjφn→Qjψ∥ψ∥,Pjφn→Pjψ∥ψ∥,∥φn∥=1 in H(r). In particular, if ψ is a unit vector, then φn→ψ, Qjφn→Qjψ and Pjφn→Pjψ in norm, and consequently ⟨Qjφn,φn⟩→⟨Qjψ,ψ⟩,∥Qjφn∥→∥Qjψ∥,⟨Pjφn,φn⟩→⟨Pjψ,ψ⟩,∥Pjφn∥→∥Pjψ∥.

Facts & Assumptions

Given: The Axiom of Countable Choice and the Axiom of Choice; integers d,r≥1; ℏ>0; the operators Qj,Pj with their maximal componentwise domains; a class ψ∈D(Qj)∩D(Pj) with ψ≠0.

[F1]

Componentwise operators and weak Leibniz. Qjf=xjf and Pjf=−iℏDjf componentwise on their maximal domains, and D(Pj)={f: ξjF2(r)f∈L2} (Componentwise position and momentum operators on the component-valued wave-function space). For every smooth η and every u∈Lloc1 whose weak j-derivative lies in Lloc1, one has Dj(ηu)=(Djη)u+ηDju in Lloc1 (Weak Leibniz rule with a smooth factor).

[F2]

Cutoffs. There is χ∈Cc∞(R) with 0≤χ≤1, χ=1 on [−1,1], χ=0 outside [−2,2]; for χn(t):=χ(t/n) and n≥1 one has χn=1 on [−n,n], χn=0 outside [−2n,2n], ∥χn∥∞≤1, and sup⁡t∣tχn′(t)∣=sup⁡s∣sχ′(s)∣=:Cχ<∞ (Explicit compactly supported smooth cutoffs).

[F3]

Dominated convergence. If gn→g pointwise and ∣gn∣≤G with ∫G<∞, then ∫gn→∫g (Dominated convergence).

[F4]

The product domain. DP={f∈H(r): Djf, xjf, xjDjf∈L2(Rd;Cr)} and on DP the product rule Dj(xjf)=f+xjDjf holds (The position-momentum commutator identity on the product domain clauses (a) and (b)).

[F5]

Inner-product continuity. The inner product and the norm of H(r) are continuous for norm convergence (Hilbert space, The space Lp(μ) as the quotient by null functions).

Proof

technique · cut the vector off in the $j$-th coordinate by a smooth cutoff with bounded logarithmic derivative, verify the product-domain memberships with the weak Leibniz rule, and pass to the limit by dominated convergence before normalizing

Given: The data of the statement and [F1]-[F5].

1.1givenF2

[The truncated vector] For n≥1 put φ~n:=χn(xj)ψ, the componentwise product of the class ψ with the bounded smooth function χn(xj). Since ∣χn∣≤1 and ψ∈L2, the class φ~n∈H(r) satisfies ∥φ~n∥≤∥ψ∥.

2.1givenstep 1.1F1F2F4algebra

[Membership in the product domain] Since ψ∈D(Pj), [F1] with η=χn gives Djφ~n=χn′ψ+χnDjψ, a sum of two L2 classes because χn′ and χn are bounded; hence φ~n∈D(Pj). Next xjDjφ~n=xjχn′ψ+xjχnDjψ: the first summand is bounded in modulus by Cχ∣ψ∣ pointwise by [F2], and the second by 2n∣Djψ∣ because ∣xjχn(xj)∣≤2n on the support of χn and Djψ∈L2 since ψ∈D(Pj); hence xjDjφ~n∈L2. Also xjφ~n=xjχnψ∈L2 because ∣xjχn(xj)∣≤2n is bounded. By [F4] the three memberships place φ~n in DP.

2.2step 1.1F1F2F3algebra

[Convergence of the truncated sequence] As n→∞ one has χn(xj)→1, χn(xj)′→0 and xjχn′(xj)→0 pointwise, with the uniform bounds ∣χn∣≤1, ∣χn′∣≤∥χ′∥∞/n and ∣xjχn′∣≤Cχ. Apply [F3] componentwise to the squared moduli: ∣χnψ−ψ∣2≤∣ψ∣2 gives φ~n→ψ in H(r), and ∣xj(χn−1)ψ∣2≤∣xjψ∣2 gives Qjφ~n→Qjψ. Both majorants are integrable by ψ∈D(Qj). For the momentum, ∥χn′ψ∥2≤∥χ′∥∞∥ψ∥2/n→0, while ∣(χn−1)Djψ∣2≤∣Djψ∣2 and pointwise convergence give χnDjψ→Djψ in L2 by [F3]; the last majorant is integrable because ψ∈D(Pj). Therefore Qjφ~n=xjχnψ→xjψ=Qjψ,Pjφ~n=−iℏ(χn′ψ+χnDjψ)→−iℏDjψ=Pjψ in H(r). In particular ∥φ~n∥→∥ψ∥>0.

3.1step 2.2F4algebra

[Normalization] Since ∥φ~n∥→∥ψ∥>0, choose n0 such that φ~n≠0 for every n≥n0. Reindex this tail by setting φn:=φ~n+n0−1/∥φ~n+n0−1∥ for every n≥1. Since DP is a linear subspace by [F4], φn∈DP and ∥φn∥=1. Dividing the convergences of step 2.2 by ∥φ~n+n0−1∥→∥ψ∥ gives φn→ψ/∥ψ∥, Qjφn→Qjψ/∥ψ∥ and Pjφn→Pjψ/∥ψ∥. If ψ is a unit vector, these are the convergences φn→ψ, Qjφn→Qjψ and Pjφn→Pjψ.

4.1step 3.1F5algebra∎

[Means and second moments] Assume ψ is a unit vector. By [F5], ⟨Qjφn,φn⟩→⟨Qjψ,ψ⟩ and ∥Qjφn∥=∥Qjφn−0∥→∥Qjψ∥ from the convergence Qjφn→Qjψ; the same two limits hold with Qj replaced by Pj. This completes the statement.

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The Robertson relation for preparation spreads of assigned sharp observables

Physical scope

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 (ACω), The Axiom of Choice). Let (A,uA) and (B,uB) be assigned sharp observables with outcome laws μA,μB and let ΔρA,ΔρB be their preparation spreads in the reading of Preparation variance and spread of an assigned sharp observable. Let ψ be a unit vector. Whenever ψ∈D(A)∩D(B), put a:=⟨Aψ,ψ⟩,b:=⟨Bψ,ψ⟩. Then:

(a) Weak form. If ψ∈D(A)∩D(B), then the means a,b are real, the spreads ΔψA and ΔψB are defined, both are read in the units uA and uB, and ΔψA ΔψB≥∣Im⁡⟨Aψ,Bψ⟩∣.

(b) Robertson form. If in addition ψ∈D(AB)∩D(BA), that is Bψ∈D(A) and Aψ∈D(B), then the pairing ⟨[A,B]ψ,ψ⟩:=⟨ABψ,ψ⟩−⟨BAψ,ψ⟩ is defined, is purely imaginary, and ΔψA ΔψB≥12∣⟨[A,B]ψ,ψ⟩∣, read in the product unit uAuB; moreover the anticommutator refinement (ΔψA)2(ΔψB)2≥(12⟨{(A−a),(B−b)}ψ,ψ⟩)2+14∣⟨[A,B]ψ,ψ⟩∣2 holds, with equality in the refined bound if and only if (A−a)ψ and (B−b)ψ are linearly dependent.

(c) Bounded observables. If A and B are bounded everywhere-defined self-adjoint operators, then clauses (a) and (b) hold for every unit ψ∈H 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 (A,uA) and produce the spread ΔψA 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 (A,uA), (B,uB) with self-adjoint operators A,B and declared units; a unit vector ψ; the preparation spreads of Preparation variance and spread of an assigned sharp observable.

[F1]

Moments and spread. For an assigned sharp observable (A,uA) and a pure preparation of a unit vector ψ∈D(A), the mean and the second moment of the outcome law exist with m=⟨Aψ,ψ⟩∈R and ∫λ2 dμψA=∥Aψ∥2, and the preparation spread is ΔψA=∥(A−⟨Aψ,ψ⟩I)ψ∥ (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)).

[F2]

Schroedinger-Robertson bound. For symmetric densely defined A,B and a unit u∈D(A)∩D(B) with u∈D(AB)∩D(BA), with real means a,b and centered vectors x=(A−a)u, y=(B−b)u, the refined bound and the equality clause hold: (ΔA)2(ΔB)2≥[Re⁡⟨x,y⟩]2+[Im⁡⟨x,y⟩]2, with equality if and only if x,y are linearly dependent, and ΔAΔB≥12∣⟨[A,B]u,u⟩∣ with ⟨[A,B]u,u⟩=−2iIm⁡⟨x,y⟩; and Re⁡⟨x,y⟩=12⟨{(A−a),(B−b)}u,u⟩ (The Schroedinger-Robertson bound in anticommutator form and the Robertson bound on product domains clauses (a)-(d)).

[F3]

Weak-form identification without products. For symmetric densely defined A,B and a unit u∈D(A)∩D(B), with real means a,b and x,y as above, Im⁡⟨x,y⟩=Im⁡⟨Au,Bu⟩ because ⟨x,y⟩=⟨Au,Bu⟩−ab with ab∈R, and the refined Cauchy-Schwarz bound yields ΔAΔB≥∣Im⁡⟨Au,Bu⟩∣ (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)).

[F4]

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 ⟨[A,B]ψ,ψ⟩ and the product ΔψAΔψB are read in the product unit uAuB (Preparation variance and spread of an assigned sharp observable clause (d)).

Proof

technique · instantiate the mathematical Schroedinger-Robertson bound at the two self-adjoint operators of the assigned observables and read the definitions of mean and spread from the moment theorem

Given: The data of the statement and [F1]-[F4].

1.1givenF1F3

[Weak form] Let ψ∈D(A)∩D(B) be a unit vector. By [F1] the means a=⟨Aψ,ψ⟩ and b=⟨Bψ,ψ⟩ are real, the spreads ΔψA and ΔψB are defined, and they equal the norms of the centered vectors x=(A−a)ψ and y=(B−b)ψ. By [F3], Im⁡⟨x,y⟩=Im⁡⟨Aψ,Bψ⟩ and ΔψAΔψB≥∣Im⁡⟨Aψ,Bψ⟩∣, which is (a).

2.1step 1.1F1F2

[Robertson form] Assume in addition ψ∈D(AB)∩D(BA). Then A,B satisfy the product-domain hypothesis of [F2] at u=ψ; 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 (A−a)ψ and (B−b)ψ. The pairing ⟨[A,B]ψ,ψ⟩ is purely imaginary by [F2]. This is (b).

3.1step 1.1step 2.1F1F2

[Bounded case] If A and B are bounded everywhere-defined self-adjoint operators, then D(A)=D(B)=H and all products are everywhere defined, so the hypotheses of clauses (a) and (b) hold for every unit ψ∈H; clauses (a) and (b) apply verbatim. This is (c).

4.1step 1.1step 2.1step 3.1F1F4∎

[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).

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The position-momentum preparation relation of the massive spin-s model

Physical scope

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-s model of The massive spin-s particle model of the framework: state space, operators, units and frame readings with mass parameter m>0, spin label s∈{0,12,1,… } and r=2s+1 (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 (ACω), The Axiom of Choice). Let Qj,Pj be the model's j-th position and j-th momentum operators with their maximal domains, and let ΔψQj and ΔψPj be their preparation spreads in the reading of Preparation variance and spread of an assigned sharp observable. Let ψ∈D(Qj)∩D(Pj) be a unit vector and put a:=⟨Qjψ,ψ⟩,b:=⟨Pjψ,ψ⟩,x:=(Qj−a)ψ,y:=(Pj−b)ψ. Then:

(a) ΔψQj and ΔψPj are defined and ΔψQj ΔψPj≥ℏ2;

(b) if in addition ψ∈D(QjPj)∩D(PjQj), then (QjPj−PjQj)ψ=iℏψ and the bound of (a) follows from the Robertson relation for the two observables;

(c) for every unit ψ∈D(Qj)∩D(Pj) the centered pairing has the exact imaginary part Im⁡⟨x,y⟩=−ℏ2; consequently equality ΔψQjΔψPj=ℏ/2 holds if and only if x and y are linearly dependent and Re⁡⟨x,y⟩=0;

(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 QjPj or PjQj. The compatibility results of this page show that no joint sharp observable with the exact spectral marginals of Qj and Pj 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 Qj,Pj of the model with their maximal domains; a unit vector ψ∈D(Qj)∩D(Pj); the numbers a,b and the centered vectors x,y.

[F1]

Model operators. Qj and Pj 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 D(Qj)={f:xjfl∈L2 ∀l} and D(Pj)={f:Djfl∈L2 ∀l}, 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)).

[F2]

Moments and spreads. For a unit vector in D(Qj) the mean and variance of the position law exist with ΔψQj=∥(Qj−a)ψ∥ where a=⟨Qjψ,ψ⟩ is real, and likewise for Pj (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)).

[F3]

Product domain and commutator. D(QjPj)∩D(PjQj)={f:Djf,xjf,xjDjf∈L2} and on it (QjPj−PjQj)f=iℏf (The position-momentum commutator identity on the product domain clauses (b) and (c)).

[F4]

Approximation. For every unit ψ∈D(Qj)∩D(Pj) there is a sequence (φn) of unit vectors in D(QjPj)∩D(PjQj) with φn→ψ, Qjφn→Qjψ and Pjφn→Pjψ in Hs, and with ⟨Qjφn,φn⟩→⟨Qjψ,ψ⟩, ∥Qjφn∥→∥Qjψ∥ and the analogous momentum limits (Approximation of Q-P graph-domain vectors by product-domain vectors).

[F5]

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)).

[F6]

Cauchy-Schwarz and its equality case. In a complex inner product space, ∥v∥ ∥w∥≥∣⟨v,w⟩∣≥∣Im⁡⟨v,w⟩∣ and ∣⟨v,w⟩∣2=(Re⁡⟨v,w⟩)2+(Im⁡⟨v,w⟩)2, with equality in the first inequality if and only if v,w are linearly dependent (Cauchy–Schwarz: ∣⟨u,v⟩∣≤∥u∥∥v∥, with equality exactly for linearly dependent vectors, Hilbert space).

Proof

technique · prove the bound first on the product domain from the commutator identity and the Robertson relation, transfer it to the full maximal domain of the pair by the cutoff approximation, and compute the exact imaginary part of the centered pairing along the approximating sequence

Given: The data of the statement and [F1]-[F6].

1.1givenF1F3F5algebra

[Product-domain case] Let φ be a unit vector in D(QjPj)∩D(PjQj). By [F1] the operators Qj,Pj 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], (QjPj−PjQj)φ=iℏφ, so ⟨[Qj,Pj]φ,φ⟩=iℏ∥φ∥2=iℏ. By [F5] the product of the preparation spreads of the two assigned observables satisfies ΔφQjΔφPj≥12∣iℏ∣=ℏ/2.

2.1givenstep 1.1F2F3F4algebra

[Approximation] Let ψ∈D(Qj)∩D(Pj) be a unit vector and let (φn) be the approximating sequence of [F4]. For every n, φn is a unit product-domain vector, so step 1.1 gives ΔφnQjΔφnPj≥ℏ/2. By [F2] and [F4], ΔφnQj2=∥Qjφn∥2−⟨Qjφn,φn⟩2→∥Qjψ∥2−⟨Qjψ,ψ⟩2=ΔψQj2, and the analogous identity holds for Pj with the momentum limits of [F4]; taking square roots and products gives ΔφnQjΔφnPj→ΔψQjΔψPj. Hence the limit satisfies ΔψQjΔψPj≥ℏ/2, which is (a); and on the product domain the same computation together with [F3] is the derivation of (b).

3.1givenstep 2.1F1F2F3F4algebra

[Exact imaginary part] Keep the notation of step 2.1 and put an:=⟨Qjφn,φn⟩, bn:=⟨Pjφn,φn⟩, xn:=(Qj−an)φn, yn:=(Pj−bn)φn. Since φn lies in both product domains, symmetry of Qj and Pj gives ⟨[Qj,Pj]φn,φn⟩=⟨Pjφn,Qjφn⟩−⟨Qjφn,Pjφn⟩=−2iIm⁡⟨Qjφn,Pjφn⟩. The means an,bn are real by [F2], and expanding with the inner product linear in the first argument gives ⟨xn,yn⟩=⟨Qjφn,Pjφn⟩−anbn; hence Im⁡⟨Qjφn,Pjφn⟩=Im⁡⟨xn,yn⟩. By [F3], ⟨[Qj,Pj]φn,φn⟩=iℏ; hence −2iIm⁡⟨xn,yn⟩=iℏ and Im⁡⟨xn,yn⟩=−ℏ/2. By [F4], xn→x and yn→y in Hs (each is the sum of a convergent term and a scalar multiple of a convergent term), so the inner product is continuous and Im⁡⟨x,y⟩=lim⁡nIm⁡⟨xn,yn⟩=−ℏ/2. This is the first display of (c).

4.1step 2.1step 3.1F6algebra

[Equality characterization] For a unit ψ∈D(Qj)∩D(Pj) put ΔQ:=ΔψQj, ΔP:=ΔψPj. By step 3.1, Im⁡⟨x,y⟩=−ℏ/2, and by [F6] ℏ/2≤ΔQΔP=∥x∥ ∥y∥≥∣⟨x,y⟩∣≥∣Im⁡⟨x,y⟩∣=ℏ/2. Equality ΔQΔP=ℏ/2 holds exactly when both inequalities are equalities, that is (by the equality case of [F6] and the identity ∣⟨x,y⟩∣2=(Re⁡⟨x,y⟩)2+(Im⁡⟨x,y⟩)2) when x,y are linearly dependent and Re⁡⟨x,y⟩=0. This completes (c).

5.1step 1.1step 2.1step 3.1step 4.1∎

[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).

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Compatible sharp observables, their joint law and the ideal joint instrument

Physical scope

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 (ACω), The Axiom of Choice). Let (A,uA) and (B,uB) be assigned sharp observables with spectral projection-valued measures EA,EB (Projection valued measure, Spectral theorem for unbounded self-adjoint operators (PVM form)). Call a regular projection-valued measure H on the Borel sigma-algebra of R2 a joint sharp observable of the pair when its marginals are the two spectral measures, H(Λ×R)=EA(Λ),H(R×Σ)=EB(Σ)(Λ,Σ Borel), and call the pair compatible when such an H exists. Then:

(a) Criterion. The pair is compatible if and only if A and B strongly commute in the sense of Strong spectral commutation of self-adjoint operators clause (b), if and only if f(A)g(B)=g(B)f(A) for all bounded Borel f,g; the joint sharp observable H is then unique, and for bounded Borel f,g f(A)g(B)=∫R2f(a)g(b) dH(a,b).

(b) Joint outcome law. If the pair is compatible, then for every preparation ρ the assignment μρH(S):=tr⁡(ρ H(S))(S⊆R2 Borel) is a probability measure on the Borel sets of R2, the joint outcome law of the pair in ρ, and its marginals are the individual laws: μρH(Λ×R)=μρA(Λ),μρH(R×Σ)=μρB(Σ). For the pure preparation of a unit vector ψ it reads μψH(S)=∥H(S)ψ∥2.

(c) Ideal finite-resolution joint instrument. If the pair is compatible and (P1,…,Pn), (Q1,…,Qm) are the projections of two finite disjoint Borel partitions of R, Pi:=EA(Λi), Qj:=EB(Σj) with ⋃iΛi=⋃jΣj=R, then Rij:=H(Λi×Σj)=PiQj are mutually orthogonal projections with strong sum I, and in the framework's declared ideal sharp measurement of the family (Rij) the outcome probabilities are tr⁡(ρRij) with marginals tr⁡(ρPi) and tr⁡(ρQj). For each joint outcome (i,j) with pij:=tr⁡(ρRij)>0, the sequential declared ideal measurements of (Pi) and then (Qj), or in the reverse order, give the same conditional state ρij=RijρRijpij=QjPiρPiQjpij=PiQjρQjPipij. In that state an immediate repetition of the joint measurement or either corresponding marginal-bin measurement returns the same outcome with probability one. If pij=0, 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 (A,uA), (B,uB) with spectral projection-valued measures EA,EB; Borel sets Λ,Σ; finite disjoint Borel partitions (Λi), (Σj) of R; a preparation ρ; a unit vector ψ.

[F1]

Scalar PVM probability and outcome laws. For a density operator ρ and any projection-valued measure E on a measurable space (X,Σ), the assignment B↦tr⁡(ρE(B)) is a probability measure on (X,Σ) and equals ∥E(B)ψ∥2 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 μρA on B(R), 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)).

[F2]

Joint projection-valued measure criterion. For self-adjoint A,B the following are equivalent: strong spectral commutation of EA and EB; existence of a unique regular projection-valued measure H on B(R2) with H(Λ×Σ)=EA(Λ)EB(Σ) and marginals H(Λ×R)=EA(Λ), H(R×Σ)=EB(Σ); and f(A)g(B)=g(B)f(A) for all bounded Borel f,g. In that case f(A)g(B)=g(B)f(A)=∫f(a)g(b) dH(a,b) for all bounded Borel f,g (Strong spectral commutation, joint projection-valued measures and bounded Borel calculus).

[F3]

Values of a projection-valued measure. For a projection-valued measure H the values H(S) are orthogonal projections with H(S∩T)=H(S)H(T) and H(∅)=0, H(R2)=I, and H is strongly finitely additive; in particular orthogonal projections with ∑ijRij=I 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)).

[F4]

Compatible Lueders instruments. Let E,F be regular commuting projection-valued measures with joint projection-valued measure G, let (Bi), (Cj) be finite disjoint Borel partitions of R, and put Pi:=E(Bi), Qj:=F(Cj), Rij:=PiQj=G(Bi×Cj). Then the Rij are mutually orthogonal projections, the sequential declared ideal measurements of (Pi) and (Qj) give the joint law tr⁡(ρRij) in either order with order-independent conditional states ρ↦RijρRij/tr⁡(ρRij) when tr⁡(ρRij)>0, and the marginal sums reproduce the individual bin laws; the update is repeatable on the corresponding outcomes (Compatible Lüders repeatability clauses (a)-(e)).

[F5]

Bounded calculus comparison. If EA and EB strongly commute, then f(A)g(B)=g(B)f(A) for bounded Borel f,g (Bounded Borel calculus of strongly commuting self-adjoint operators clause (a), Bounded borel pvm integral).

Proof

technique · read the mathematical joint projection-valued measure criterion as the definition of compatibility, obtain the joint law from the scalar spectral measure of $H$, and instantiate the mathematical compatible Lueders instrument at the two spectral projection-valued measures

Given: The data of the statement and [F1]-[F5].

1.1givenF2F3F5

[Criterion] If H is a joint sharp observable as defined in the Statement, then [F3] applied to Λ×R and R×Σ gives H(Λ×Σ)=EA(Λ)EB(Σ)=EB(Σ)EA(Λ). 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 H and its bounded Borel integral representation, consistently with [F5].

2.1step 1.1F1

[Joint law] Assume the pair is compatible and let H be its joint sharp observable. For every preparation ρ, the general-measurable-space scalar PVM probability result in [F1], with (X,Σ)=(R2,B(R2)) and E=H, shows that μρH(S)=tr⁡(ρH(S)) is a probability measure with the pure reading ∥H(S)ψ∥2. Its marginals are μρH(Λ×R)=tr⁡(ρH(Λ×R))=tr⁡(ρEA(Λ))=μρA(Λ) and likewise for B, using the marginal property of H from the Statement. This is (b).

2.2step 1.1F3F4

[Ideal joint instrument] Assume compatibility and let (Pi), (Qj) be as in (c). By [F3], Rij=H(Λi×Σj) are orthogonal projections with Rij=PiQj=QjPi and ∑i,jRij=H(R2)=I in the strong sense; thus (Rij) is a finite declared ideal sharp measurement family with outcome probabilities tr⁡(ρRij). Applying [F4] with E=EA, F=EB and the families (Λi), (Σj) gives the sequential agreement and marginal sums. For every (i,j) with tr⁡(ρRij)>0, [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).

3.1step 1.1step 2.1step 2.2∎

[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.

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Position and momentum of the massive model have no joint sharp observable

Physical scope

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-s model of The massive spin-s particle model of the framework: state space, operators, units and frame readings with mass parameter m>0 and spin label s (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 (ACω), The Axiom of Choice). Fix a coordinate index j. Then:

(a) the spectral projection-valued measures EQj and EPj of the model's j-th position and j-th momentum do not strongly commute: there are Borel sets Λ,Σ⊆R with EQj(Λ)EPj(Σ)≠EPj(Σ)EQj(Λ);

(b) consequently the pair (Qj,Pj) is not compatible: there is no regular projection-valued measure H on the Borel sets of R2 whose marginals are EQj and EPj, 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 Qj,Pj with their maximal domains; real t≠0; a nonzero class ψ∈D(Qj).

[F1]

Model operators and translations. Qj and Pj are self-adjoint with the maximal componentwise domains D(Qj)={f:xjfl∈L2 ∀l} and D(Pj)={f:Djfl∈L2 ∀l}, and the componentwise translation Ttejf=f(⋅−tej) satisfies TtejD(Qj)=D(Qj), TtejQjTtej−1=Qj−tI and Ttej=exp⁡(−iℏtPj), the exponential being the spectral-calculus flow of Pj (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)).

[F2]

Bounded Borel calculus. If two self-adjoint operators A,B have strongly commuting spectral projection-valued measures, then for every bounded Borel f one has f(B)D(A)⊆D(A) and Af(B)x=f(B)Ax for every x∈D(A) (Bounded Borel calculus of strongly commuting self-adjoint operators clause (b)).

[F3]

PVM multiplicativity and compatibility vocabulary. Every projection-valued measure H satisfies H(S∩T)=H(S)H(T)=H(T)H(S) for measurable S,T (Projection valued measure). A joint sharp observable and compatibility mean, respectively, a regular PVM on B(R2) 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.

[F4]

The exponential function. exp⁡(−iℏtp) is a bounded Borel function of p∈R with values of modulus 1, 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

technique · suppose the two projection-valued measures commute and use the bounded Borel calculus to make the unitary translation group of the momentum commute with the position operator, contradicting the conjugation identity $TQ_{j}T^{-1}=Q_{j}-tI$

Given: The data of the statement and [F1]-[F4].

1.1givenassume-contraF1F2F4

[Supposition and its consequence] Assume for contradiction that EQj and EPj strongly commute, and fix t≠0. By [F4] the function f(p)=exp⁡(−iℏtp) is bounded Borel, and by [F1] its operator is f(Pj)=Ttej. Applying [F2] with A=Qj, B=Pj gives TtejD(Qj)⊆D(Qj) and TtejQjη=QjTtejηfor every η∈D(Qj).

2.1givenstep 1.1F1algebra

[The contradiction] Let ψ∈D(Qj) be nonzero, which exists because D(Qj) is dense, and put η:=Ttej−1ψ; by the domain invariance of [F1], η∈D(Qj). The conjugation identity of [F1] gives TtejQjη=(Qj−tI)Ttejη=(Qj−tI)ψ, while step 1.1 gives TtejQjη=QjTtejη=Qjψ. Hence (Qj−tI)ψ=Qjψ, that is tψ=0, which contradicts ψ≠0 and t≠0. Therefore EQj and EPj do not strongly commute, and there are Borel sets on which the two projections fail to commute. This proves (a).

3.1givenstep 2.1F3discharge-contradiction∎

[No joint sharp observable] If a regular PVM H on B(R2) had the two spectral marginals, then [F3], with S=Λ×R and T=R×Σ, would give EQj(Λ)EPj(Σ)=H(Λ×Σ)=EPj(Σ)EQj(Λ) for all Borel Λ,Σ. 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).

RemarkRemark: AI-adaptedProof: Not applicableOpen item page →

What the uncertainty and compatibility page adopts, proves and does not claim

Physical scope

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 Qj and Pj; 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 ΔQjΔPj≥ℏ/2 on the full maximal domain of the pair, with the exact imaginary part −ℏ/2 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 Qj and Pj; 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 [A,B]u=0 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-12 spread account, the energy-time scope remark and the error-disturbance distinction.

5 · Examples, experiments and counterexamples

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