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How statement and proof provenance work

The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.

  • Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
  • AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
  • AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.

These labels describe origin, not correctness: citations and verification chips remain separate evidence.

Experimental Interface — Examples

1 · Prerequisites

2 · Summary

These examples work the vocabulary of sr-experimental-interface on the framework's longitudinal Doppler prediction. The first instantiates an operational model, computes the inverse of the Doppler ratio, and solves a declared bounded record for its consistency interval, including the zero-uncertainty singleton and the exact positive length of the interval when the declared uncertainty is positive; every number is a declared illustrative value. The second refutes, under an explicitly declared comparison rule, the uniqueness claim that a bounded one-point record determines the parameter of an operational model: two exact rational parameter witnesses, and in fact a whole positive-length interval of them, are consistent with one illustrative record. Neither item asserts a measurement, an apparatus, a sampling model, or any empirical conclusion about a model or postulate.

3 · Logical flowchart

4 · Definitions, postulates, theorems and proofs

None yet.

5 · Examples, experiments and counterexamples

ExampleConstruction: AI-adaptedVerification: AI-adaptedOpen item page →

Worked instance of the operational vocabulary: an illustrative bounded record for the longitudinal Doppler ratio and its parameter window

Physical scope

Worked arithmetic instance inside the flat special-relativity framework: it instantiates the operational vocabulary on the framework's own longitudinal Doppler prediction with a declared, explicitly illustrative record. It asserts no apparatus, no measurement, no calibration correctness, no sampling model, no statistical inference and no empirical support or refutation of the Doppler theorem or of any postulate.

Example

Adopt the SI conventions of SI units and coordinate conventions of the special-relativity framework, the vocabulary of Operational model, data, calibration and uncertainty vocabulary of the experiment interface and the ideal plane-wave model of Adopted ideal plane-wave and frequency-reading model. Consider the longitudinal configuration of Doppler shift and aberration for an ideal plane wave between inertial descriptions: inertial charts x and x′ whose transition is x′=B(βe1) x for a real β∈(−1,1), where B(⋅) is the passive boost of The passive Lorentz boost with parameter beta, so that the frame x′ moves with velocity cβe1 relative to x; an ideal emitter history, meaning the C∞ rest worldline h:R→A, h(ρ)=o+ρe0, with length parameter ρ, future unit tangent e0 and proper-time function τh(ρ)=ρ/c based at 0 (no emission dynamics is stipulated); an ideal plane wave whose frame-x data are (ω,s) with angular frequency ω>0 and s=e1; and the rest observer of x′, whose four-velocity is cf0 for the future unit timelike vector f0 constructed below. By clauses (i) and (ii) of that theorem this observer reads ωo(β)=γβ(1−β)ω with γβ=(1−β2)−1/2, so the Doppler ratio is

F(β):=ωo(β)ω=1−β1+β,β∈(−1,1),

the rational power being that of Rational powers ar of a positive base.

(a) Let S:=Θ:=(−1,1), θ:=id, let D(β) be the run description comprising the inertial charts x and x′, the emitter's straight rest curve, the future null wave covector with frame-x data (ω,e1) and its affine phase, its proper-time function τh, and the observer's rest vector f0 with reception event o, and let F be as displayed. Then M:=(S,Θ,θ,D,F) is an operational model for the dimensionless ratio ωo/ω in the sense of clause (b) of Operational model, data, calibration and uncertainty vocabulary of the experiment interface: condition (∗) holds with the prediction supplied by the cited Doppler theorem, and d=1. The map F is strictly decreasing on (−1,1), and for every real r>0 there is exactly one β∈(−1,1) with F(β)=r, namely

β(r)=1−r21+r2;

consequently F is a strictly decreasing bijection of (−1,1) onto (0,∞).

(b) Let z∈(0,1] and ε∈[0,z) be real, so that 0<z−ε≤z+ε, and let R be the declared one-point record with N=1, z1=z, ε1=ε and condition annotation "longitudinal Doppler ratio for observer velocity cβe1, with signed β∈(−1,1) and wave propagation direction e1" in the sense of clause (c) of the vocabulary. Then the set of parameters consistent with R and M,

C(R,M):={β∈(−1,1):F(β)∈[z−ε,z+ε]},

equals the closed interval [β(z+ε),β(z−ε)]; it is nonempty, and every element of it satisfies the declared bound of R. If ε=0, it is the singleton {β(z)}. If ε>0, its endpoints are strictly ordered and its exact positive length is

β(z−ε)−β(z+ε)=8zε[1+(z−ε)2][1+(z+ε)2]>0.

Thus the strict inequality between the record endpoints and the positive-length conclusion apply exactly when the declared uncertainty is positive. The condition annotation fixes collinearity and permits either sign of the velocity, including rest at β=0: β>0 means motion along the propagation direction, β<0 means motion opposite to it. Every parameter in C(R,M) is nonnegative exactly when z+ε≤1, and every parameter is strictly positive exactly when z+ε<1.

(c) Illustrative instance (declared illustrative values, not a measurement report): z=9/10 and ε=1/100. Then β(91/100)=1719/18281≈0.094032 and β(89/100)=2079/17921≈0.116009, and C(R,M)=[1719/18281, 2079/17921], an interval of exact length 7200000/327613801 in β, whose endpoints satisfy F(1719/18281)=91/100 and F(2079/17921)=89/100.

(d) Scope. Every number in (c) is a declared illustrative value supplied to instantiate the vocabulary's clauses and their arithmetic; the example asserts no apparatus, no calibration correctness, no measurement, no sampling model, no statistical inference and no empirical support or refutation of the Doppler theorem or of any postulate.

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, real numbers z∈(0,1] and ε∈[0,z), and the illustrative one-point record R with N=1, z1=z, ε1=ε and annotation "longitudinal Doppler ratio for observer velocity cβe1, with signed β∈(−1,1) and wave propagation direction e1".

[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 (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]

The worldline and proper-time definitions are Curves, regular causal curves and future timelike worldlines in affine Minkowski space and Proper time along a future timelike worldline; in particular a C1 curve with everywhere future timelike derivative is a worldline and its proper time is the integral of c−1−η(h′,h′). 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).

Verification

technique · direct
1.1constructA1F2F3F4F5F6F7F8

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 (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], with chart x′ because Ef=E∘B(βe1)−1 gives Ef−1(p−o)=x′(p). The transition is x′=B(βe1)x with parameter βe1 of modulus ∣β∣<1, so [F2] clause (i) with s=e1 gives the frame-x′ data (ω′,s′) of the same covector k with ω′=γβ(1−β)ω and γβ=(1−β2)−1/2, this being the reading of the rest observer of x′ by clause (ii); and γβ(1−β)=(1−β)1/2(1+β)−1/2=((1−β)/(1+β))1/2 by [F8], the positive square root. Hence the dimensionless ratio F(β):=ω′/ω equals ((1−β)/(1+β))1/2 for every β∈(−1,1).

1.2F8F9algebra

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 the two positive radicands gives F(βa)>F(βb).

1.3F8F9algebra

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(⋅), and β(⋅) is itself strictly decreasing on (0,∞).

2.1A1F1F2F6F7step 1.1

Let S:=Θ:=(−1,1), θ:=id, and let D(β) comprise the frames x and x′ with their charts, the real boost parameter β, the wave covector k with its affine phase, the worldline h:R→A, h(ρ)=o+ρe0, with proper time τh(ρ)=ρ/c, and the observer vector f0 with reception event o; the worldline is C∞, its derivative is the future unit vector e0, and the proper-time integral is c−1∫0ρ1 du=ρ/c; then M=(S,Θ,θ,D,F) with the map F of step 1.1 is an operational model in the sense of [F1] with d=1, because each component of F(β) is assigned to D(β) by [F2] clauses (i) and (ii) under the adopted idealization [A1], with the frame, sign and unit conventions declared, so condition (∗) holds. This is the model claimed in part (a) of the Example.

2.2F1F8F9step 1.2step 1.3algebra

Since F is strictly decreasing with inverse β(⋅) by steps 1.2 and 1.3, F(β)∈[z−ε,z+ε] holds if and only if β∈[β(z+ε),β(z−ε)]; the set is nonempty because z−ε>0 puts z±ε in the range (0,∞) of F, and every element of it satisfies the declared bound of the record R because its prediction lies in the declared closed interval, so C(R,M)=[β(z+ε),β(z−ε)] as claimed in part (b). For ε=0 the two endpoints run together and C(R,M)={β(z)} by step 1.3, the singleton claimed; for ε>0 we have 0<z−ε<z+ε and strict decrease of β(⋅) in step 1.3 gives the strict endpoint order β(z−ε)>β(z+ε), with length β(z−ε)−β(z+ε)=1−(z−ε)21+(z−ε)2−1−(z+ε)21+(z+ε)2=2(z+ε)2−2(z−ε)2[1+(z−ε)2][1+(z+ε)2]=8zε[1+(z−ε)2][1+(z+ε)2]>0, where the numerator identity is algebra and the final sign uses z>0, ε>0 and the positivity of the two denominator factors by [F9]. For r>0, the positive denominator in β(r)=(1−r2)/(1+r2) shows that β(r) is positive, zero or negative according as r<1, r=1 or r>1; because β(z+ε) is the minimum of C(R,M), the whole consistency interval is nonnegative exactly when z+ε≤1 and strictly positive exactly when z+ε<1. These are precisely the sign qualifications in part (b); no sign restriction is imposed by its signed-velocity annotation.

3.1F8step 1.3step 2.2algebra∎

For the illustrative values z=9/10 and ε=1/100 we have z+ε=91/100 and z−ε=89/100, so by step 1.3 β(91/100)=1−8281/100001+8281/10000=171918281 and β(89/100)=1−7921/100001+7921/10000=207917921, both in (−1,1), and F(β(91/100))=91/100, F(β(89/100))=89/100; the consistency set is [1719/18281,2079/17921] by step 2.2, and its length is 8⋅(9/10)⋅(1/100)[1+7921/10000][1+8281/10000]=7200000327613801 by step 2.2, using 17921⋅18281=327613801. This is exact rational arithmetic on declared illustrative values; no measurement, probability model, sampling assumption or statistical inference is used.

CounterexampleConstruction: AI-adaptedVerification: AI-adaptedOpen item page →

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.

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