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Counterexample: a bounded one-point record need not determine the parameter of an operational model

Physical scope

Conceptual counterexample inside the flat special-relativity framework: it shows that a declared bounded record of the operational vocabulary need not determine a unique parameter of an operational model, using the framework's own Doppler prediction and declared illustrative values. It asserts no measurement, no statistical inference and no empirical conclusion about any model or postulate.

Statement refuted

A declared one-point data record of the vocabulary with positive declared uncertainty determines the parameter of an operational model uniquely: if a record R of clause (c) of Operational model, data, calibration and uncertainty vocabulary of the experiment interface is consistent with two parameters β1,β2 of one operational model M, then β1=β2.

Facts & Assumptions

Given: An inertial frame (o;e0,e1,e2,e3) of the oriented time-oriented affine Minkowski space (A,V,η,C+) with its inertial chart x, a real number ω>0, and the illustrative record R with N=1, z1=9/10, ε1=1/100 and annotation "longitudinal Doppler ratio of the moving observer in the propagation direction". These are declared illustrative values, not measurements.

[F1]

The experimental-interface vocabulary: an operational model is a tuple M=(S,Θ,θ,D,F) with S nonempty, Θ⊆Rm nonempty, θ:S→Θ surjective, D assigning run descriptions and F:Θ→Rd a prediction map whose components are required, by the declared interpretation (∗), to be numbers the framework assigns to D(s) with every intermediate quantity, frame, event, sign and unit declared; a data record R=(N,z,ε,a) declares that each value lies in the closed box ∏j[zk,j−εk,j,zk,j+εk,j] in the declared units; and clause (f) makes a consistency or comparison claim between a record and a model a separate claim requiring an explicitly declared comparison rule (Operational model, data, calibration and uncertainty vocabulary of the experiment interface).

[F2]

Doppler theorem clauses (i) and (ii): for inertial charts whose transition is x′=B(β)x+b with β∈R3, ∣β∣<1, the same future null wave covector k with frame-x data (ω,s) has frame-x′ data (ω′,s′) with ω′=γ(1−β⋅s)ω, where γ=(1−∣β∣2)−1/2; and the rest observers of x and x′, of four-velocities ce0 and ce0′, read the angular frequencies ω=−ck(e0) and ω′=−ck(e0′) (Doppler shift and aberration for an ideal plane wave between inertial descriptions).

[F3]

Observer angular frequency and wave data: the observer of four-velocity Uo=cn, with η(n,n)=−1 and n future, reads ωn:=−ck(n)=−k(Uo) in the SI convention x0=ct; a future null wave covector has frame components ka=(−ω/c,(ω/c)s1,(ω/c)s2,(ω/c)s3) with ω>0 and ∣s∣=1 (Null wave covectors, frame frequency data and the observer frequency of an ideal plane wave).

[F4]

For a covector k, the affine phase p↦k(p−o) has differential k by Affine phase functions and wave covectors on affine Minkowski space (a). Frame-data lemma clauses (a),(b),(e): for a future null wave covector in a frame, ϖ:=−k(e0)>0 and ∣s∣=1; conversely, a covector whose frame components are (−ϖ,ϖs1,ϖs2,ϖs3) with ϖ>0 and ∣s∣=1 is a future null wave covector (Frame data of a future null wave covector: the unique pair (ϖ,s) with ∣s∣=1).

[F5]

Passive boost: for β with ∣β∣<1 the map B(β) is defined in an inertial frame's coordinates by x′0=γ(x0−β⋅x) and x′=x+((γ−1)/∣β∣2)(β⋅x)β−γβx0 for β≠0, with B(0) the identity, so that in the axis case β=βe1 one has x′0=γ(x0−βx1), x′1=γ(x1−βx0) (The passive Lorentz boost with parameter beta); it is a proper orthochronous Lorentz map, B(β)−1=B(−β), and B(β)e0=γ(e0−β1e1−β2e2−β3e3) (The passive boost is a proper orthochronous Lorentz map with inverse B(-beta)).

[F6]

Inertial frame and chart: an inertial frame (o;e0,e1,e2,e3) consists of an event o∈A and an ordered basis of V that is η-orthonormal, future and positively oriented; its chart is x(p)=E−1(p−o) with E(u)=∑auaea (Inertial frames and inertial charts of the affine Minkowski model).

[A1]

Adopted ideal plane-wave model: an ideal monochromatic light wave in vacuum is modeled in any inertial chart by a dimensionless affine phase with future null wave covector, and an ideal observer of four-velocity Uo=cn receiving this wave reads the frequency ωn=−ck(n) (Adopted ideal plane-wave and frequency-reading model).

[F7]

SI conventions: in every inertial chart x0=ct with c>0 in metres per second, spatial coordinates in metres, and the matrix of η equal to diag(−1,1,1,1) (SI units and coordinate conventions of the special-relativity framework).

[F8]

Rational powers and their laws: ar:=(a1/n)m for a>0 and r=m/n, and (ar)s=ars, (ab)r=arbr, ar+s=aras, ar>0 (Rational powers ar of a positive base, Laws of rational exponents).

[F9]

Strict monotonicity in the base: for rational r>0 the map a↦ar is strictly increasing on the positive reals (Monotonicity of r↦ar and of a↦ar claim 2); and in an ordered field, if c>0 then a<b if and only if ac<bc (Sign rules for products and monotonicity of multiplication claim 4).

Counterexample

technique · direct
1.1constructF4F5F6F7

Fix ω>0 and let k be the covector whose frame-x components are (−ω/c,ω/c,0,0), so ϖ=ω/c>0 and s=e1 with ∣s∣=1; by [F4] the covector k is a future null wave covector with frame-x data (ω,e1); equip it with the affine phase θ(p):=k(p−o), whose differential is k. For each real β∈(−1,1) put x′:=B(βe1)∘x and fa:=B(βe1)−1ea; by [F5] the map B(βe1) is proper orthochronous with inverse B(−βe1), and [F5] applied to −βe1 gives that B(−βe1) also preserves η, the future cone and the orientation, so the ordered basis (f0,f1,f2,f3)=(B(−βe1)e0,…,B(−βe1)e3) is again η-orthonormal, future and positively oriented and (o;f0,f1,f2,f3) is an inertial frame by [F6]; its chart is x′, because the frame isomorphism Ef=E∘B(βe1)−1 gives Ef−1(p−o)=B(βe1)(E−1(p−o))=x′(p), and f0 is future unit timelike.

1.2F2F8algebra

The transition between the inertial charts x and x′ is x′=B(βe1)x with parameter βe1 of modulus ∣β∣<1; [F2] clause (i) with s=e1 therefore gives the frame-x′ data (ω′,s′) of the same covector k with ω′=γβ(1−β)ω, where γβ=(1−β2)−1/2; and γβ(1−β)=(1−β)1/2(1+β)−1/2=((1−β)/(1+β))1/2 by [F8], so the dimensionless ratio F(β):=ω′/ω is the positive real number displayed.

1.3F8F9algebra

The map F is strictly decreasing on (−1,1): for −1<βa<βb<1 the difference of the two radicands is 1−βa1+βa−1−βb1+βb=2(βb−βa)(1+βa)(1+βb)>0, since the numerator and both denominator factors are positive by [F9], and applying the strictly increasing map u↦u1/2 of [F9] to that positive difference gives F(βa)>F(βb).

1.4F8F9algebra

For every real r>0 the equation F(β)=r is equivalent to 1−β1+β=r2, because u↦u1/2 is injective on positives and (u1/2)2=u by [F8]; solving, β=1−r21+r2=:β(r), which lies in (−1,1) because 1+β(r)=21+r2>0 and 1−β(r)=2r21+r2>0; and F(β(r))=r again by [F8]. Thus F is a strictly decreasing bijection of (−1,1) onto (0,∞) with inverse β(⋅).

2.1A1F1F2F3step 1.2

Let S:=Θ:=(−1,1), θ:=id, and let D(β) be the finite run description comprising the frames x and x′ with their charts, the real boost parameter β, the wave covector k with its affine phase, and the observer vector f0 with reception event o; let F be the map of step 1.2. Then M=(S,Θ,θ,D,F) is an operational model in the sense of [F1] with d=1: each component of F(β) is the rest-observer frequency ratio F(β)=−c k(f0)/ω in the sense of [F3], assigned to D(β) by clauses (i) and (ii) of [F2] under the adopted idealization [A1], with the frame, sign and unit conventions declared, so condition (∗) holds.

2.2F1step 1.3step 1.4

Declare the comparison rule that a parameter β is consistent with the one-point record R exactly when its prediction F(β) lies in the record's declared closed interval [z1−ε1,z1+ε1]; by [F1] clause (f) such a rule must be declared separately, and this is the declared rule of the present algebraic reading. By strict decrease and the inverse of steps 1.3 and 1.4, the consistency set is C(R,M)={β∈(−1,1):F(β)∈[z1−ε1,z1+ε1]}=[β(z1+ε1),β(z1−ε1)], a nonempty closed interval.

3.1F1F8F9step 1.4algebra∎

With z1=9/10 and ε1=1/100 the declared interval is [89/100,91/100], and the two distinct parameters β1:=β(91/100)=1719/18281 and β2:=β(89/100)=2079/17921 satisfy F(β1)=91/100 and F(β2)=89/100 by step 1.4, hence both lie in C(R,M); they are distinct because β2−β1=2079⋅18281−1719⋅1792117921⋅18281=7200000327613801>0, the denominator being positive and the numerator a positive integer difference. Since R is a one-point data record of [F1] clause (c) with positive declared uncertainty, the uniqueness assertion of the Statement refuted is false: a declared bounded one-point record need not determine the parameter of an operational model. This is an algebraic consistency computation on declared illustrative values; it asserts no measurement, calibration, probability model, statistical inference or empirical conclusion about any model or postulate.

Depends on

Dependency tree · 2 levels

Sources