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FALSE: pointwise-integrable generator constants justify ideal-critic gradient exchange

Statement

Let X=([0,1],∣x−y∣), let g:R×R→[0,1] be jointly locally Lipschitz, and write gθ(z):=g(θ,z). Let ρ be a Borel probability measure on latent R with a nonnegative Lebesgue-measurable density q, meaning ρ(A)=∫Aq dλ for every Borel A⊆R, with ∫Rq dλ=1. Suppose for every (θ,z) there is a finite local joint Lipschitz constant L(θ,z)≥0 and an open neighborhood Uθ,z on which

∣g(θ1,z1)−g(θ2,z2)∣≤L(θ,z)(∣θ1−θ2∣+∣z1−z2∣)

for all (θ1,z1),(θ2,z2)∈Uθ,z. Assume for every θ that z↦L(θ,z) is Borel measurable and ∫RL(θ,z) dρ(z)<+∞. Define Pθ(B):=ρ({z:gθ(z)∈B}) for Borel B⊆[0,1] and V(θ):=W1X(δ0,Pθ). The proposed implication is that for a function f:[0,1]→R with f(0)=0 and ∣f(x)−f(y)∣≤∣x−y∣ that attains the signed dual supremum at θ0, whenever V′(θ0) and the Lebesgue integral ∫R∂θ[f(gθ(z))]∣θ0 dρ(z) are defined, one has

V′(θ0)=−∫R∂θ[f(gθ(z))]∣θ0 dρ(z).

Statement references

The coupling definition of the 1-Wasserstein cost on a compact metric space

Arjovsky et al., Theorem 3 and Appendix C, physical PDF pp. 7 and 24–25. This is the claimed exchange under the original pointwise-local hypothesis, not the corrected common-envelope theorem.

Facts & Assumptions

Given: The proposed implication, Countable Choice for the Lebesgue interval supplier, and the explicit construction below; n≥1.

[A1]

Countable Choice supplies choices for countable families of nonempty sets. The Axiom of Countable Choice (ACω)

[F1]

The geometric series starting at n=1 satisfies ∑n≥12−n=1. For ∣r∣<1, ∑k≥0rk=1/(1−r), and for ∣r∣≥1 the series diverges

[F2]

Increasing nonnegative measurable functions pass to the limit under the integral. Monotone convergence for the integral

[F5]

The compact-space Wasserstein cost is the infimum of Borel coupling costs. The Dirac set function at 0 is a probability measure. The coupling definition of the 1-Wasserstein cost on a compact metric space The Dirac set function at a point A Dirac set function is a probability measure

[F6]

A probability measure is countably additive with total mass one. Probability measures and probability spaces

[F7]

On a compact metric space, the signed supremum over normalized 1-Lipschitz tests equals W1; the compact KR proof also establishes that each such test objective is bounded by every coupling cost. Kantorovich–Rubinstein duality on compact metric spaces

[F8]

A measurable random element has a probability law, and integration against its law equals integration after composition with the random element. Random elements and real random variables Law or distribution of a random element The law of a random element is a probability measure Change of variables for expectation

[F9]

If ρ=q dλ, then ∫h dρ=∫hq dλ for every nonnegative measurable h. Integrating against a density agrees with integrating the product

[F10]

A nonnegative simple function has a finite measurable representation and its nonnegative integral is the corresponding finite weighted sum. Nonnegative simple measurable functions The integral of a nonnegative simple function The nonnegative integral agrees with the simple integral on simple functions

Refutation

Given: The proposed implication in the Statement and [A1].

1.1givenconstructalgebra

Set an=4−n for n≥0 and pn=2−n for n≥1. Define a nonnegative piecewise-linear hat αn on [0,+∞): it is zero outside [an+1,an−1], rises linearly from 0 at an+1 to 1 at an, then falls linearly to 0 at an−1. On [an+1,an] only αn,αn+1 are nonzero and their sum is one. Thus ∑n≥1αn(r)=1 for 0<r≤1/4. At each fixed positive r only finitely many hat supports meet it.

1.2A1F1F2F3F4F6constructalgebra

Put Bn=[n−1/8,n+1/8] and q(z)=∑n≥14pn1Bn(z). Define ρ on Borel subsets of R by ρ(A)=∫Aq dλ, the restriction to Borel sets of the measure with density q. The density is Borel, and [F1]–[F4] give ρ(R)=∑n4pnλ(Bn)=∑npn=1. Let un(z) be one when ∣z−n∣≤1/8, decrease linearly to zero when 1/8<∣z−n∣<1/4, and be zero for ∣z−n∣≥1/4. It is 8-Lipschitz; its supports are disjoint, and un=1 on Bn.

2.1step 1.1step 1.2algebra

Set bn(θ)=θαn(∣θ∣)/pn and gθ(z)=1/2+(1/16)∑nun(z)bn(θ). Since ∣bn∣≤an−1/pn=22−n≤2 and at most one latent support is active, 3/8≤g≤5/8. Each bn is continuous piecewise quadratic with compact support and bounded one-sided slopes, hence globally Lipschitz. More explicitly ∣αn′∣≤4/(3an) and ∣θ∣≤4an on its support, so ∣bn′∣≤(1+16/3)/pn=19/(3pn) wherever the derivative exists; subdivision at finitely many corners gives this bound for all differences. Local finiteness in z then proves joint local Lipschitzness of g and Borel measurability of every section.

3.1step 1.1step 1.2step 2.1algebra

A valid measurable local joint constant is L(θ,z)=∑nMn1[an+1,an−1](∣θ∣)1(n−1/2,n+1/2)(z), with Mn=(16+19/(3pn))/16: the two product terms are bounded using ∣bn∣≤2, the 8-Lipschitz un, and the bound in step 2.1. At any fixed nonzero θ only finitely many parameter supports are active, so ∫L(θ,z) dρ<∞. At θ=0 every bn vanishes on a neighborhood of zero, so for each fixed z the locally finite sum is constant in a neighborhood of (0,z); take L(0,z)=0. At latent or parameter support boundaries the displayed positive constants apply whenever needed, and outside the closed active supports a neighborhood has zero variation. Thus the original pointwise-local condition holds at every parameter.

3.2F1F2F4F9F10step 1.1step 1.2step 2.1algebra

Let cn(θ)=1/2+bn(θ)/16. The density q vanishes off the disjoint union of the intervals Bn, and on each Bn the function gθ is constant with value cn(θ). For N≥1, qN=∑n≤N4pn1Bn increases pointwise to q, and gθqN is simple with integral ∑n≤N4pncn(θ)λ(Bn)=∑n≤Npncn(θ) by [F4, F10]. By [F2], ∫gθq dλ=∑n≥1pncn(θ); by [F9], this equals ∫gθ dρ. For each fixed θ only finitely many bn(θ) are nonzero, while [F1] gives ∑npn=1, so ∫gθ dρ=1/2+(1/16)∑npnbn(θ)=1/2+(θ/16)∑nαn(∣θ∣). Therefore this integral is 1/2+θ/16 for 0<∣θ∣≤1/4 and is 1/2 at θ=0.

4.1F5F8step 3.2algebra

Put ι(y)=(0,y) and let γθ=ι#Pθ. The map ι is continuous in the product topology, so [F8] makes γθ a Borel probability; for every Borel A⊆X its marginals satisfy γθ(A×X)=1{0∈A}=δ0(A) and γθ(X×A)=Pθ(A), so it is a coupling. Any coupling γ is concentrated on {0}×X by its first marginal. For Borel C⊆X×X, let BC=ι−1(C), which is Borel by continuity; concentration gives γ(C)=γ(C∩({0}×X))=γ({0}×BC). The first marginal also gives γ((X∖{0})×BC)=0, so the second marginal gives γ({0}×BC)=γ(X×BC)=Pθ(BC). Hence γ(C)=γθ(C) and this coupling is unique. Applying [F8] to ι and to gθ gives its cost ∫Xy dPθ(y)=∫gθ dρ, so V(θ)=W1X(δ0,Pθ)=∫gθ dρ.

5.1F7F8step 3.1step 3.2step 4.1algebra

For any normalized 1-Lipschitz h:[0,1]→R, [F8] applied to the constant-zero map and to gθ gives ∫h dδ0=h(0)=0 and ∫h dPθ=∫h(gθ(z)) dρ(z). The function f(x)=−x is normalized and 1-Lipschitz, and its signed dual objective is ∫f dδ0−∫f dPθ=∫gθ dρ=V(θ) by step 4.1. The compact KR duality [F7] therefore makes f an attaining critic, in particular at θ=0. By step 3.1, each fixed latent section is constant near zero, so ∂θf(gθ(z))∣0=0 for every z; this derivative is measurable and integrable with expectation zero. Step 3.2 gives V′(0)=1/16, so the two defined terms in the proposed identity are unequal.

6.1F2F6step 1.1step 1.2step 2.1step 5.1algebra∎

Suppose there were a common-neighborhood generator envelope at zero: an open neighborhood U of zero, a nonnegative measurable K with ∫K dρ<∞, and a measurable set E with ρ(E)=1 such that ∣gθ(z)−gθ′(z)∣≤K(z)∣θ−θ′∣ for every z∈E and every θ,θ′∈U. Since an→0, there is n0 such that an∈U for every n≥n0. For every such n and z∈Bn∩E, the envelope then gives K(z)≥∣gan(z)−g0(z)∣/an=1/(16pn), because un=1 on Bn and αn(an)=1. By [F6], ρ(Bn∖E)≤ρ(Ec)=0, so ρ(Bn∩E)=ρ(Bn)=pn by step 1.2. The sets Bn∩E are disjoint and each contributes at least 1/16 to ∫K dρ. Summing these nonnegative contributions, using [F2] to pass from finite partial sums to their limit, forces ∫K dρ=∞, a contradiction. The counterexample therefore violates precisely the stronger corrected envelope premise while satisfying the original one.

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