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FALSE: pointwise-integrable generator constants justify ideal-critic gradient exchange
Statement
Let , let be jointly locally Lipschitz, and write . Let be a Borel probability measure on latent with a nonnegative Lebesgue-measurable density , meaning for every Borel , with . Suppose for every there is a finite local joint Lipschitz constant and an open neighborhood on which
for all . Assume for every that is Borel measurable and . Define for Borel and . The proposed implication is that for a function with and that attains the signed dual supremum at , whenever and the Lebesgue integral are defined, one has
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; .
Countable Choice supplies choices for countable families of nonempty sets. The Axiom of Countable Choice ()
The geometric series starting at satisfies . For , , and for the series diverges
Increasing nonnegative measurable functions pass to the limit under the integral. Monotone convergence for the integral
A nonnegative measurable density defines a measure by integration. The measure with density relative to The indefinite integral of a nonnegative measurable function is a measure
Under Countable Choice, a real interval has Lebesgue measure its length. A box in with parameters is Lebesgue measurable of measure , whichever of its faces are included
The compact-space Wasserstein cost is the infimum of Borel coupling costs. The Dirac set function at 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
A probability measure is countably additive with total mass one. Probability measures and probability spaces
On a compact metric space, the signed supremum over normalized -Lipschitz tests equals ; the compact KR proof also establishes that each such test objective is bounded by every coupling cost. Kantorovich–Rubinstein duality on compact metric spaces
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
If , then for every nonnegative measurable . Integrating against a density agrees with integrating the product
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].
Set for and for . Define a nonnegative piecewise-linear hat on : it is zero outside , rises linearly from at to at , then falls linearly to at . On only are nonzero and their sum is one. Thus for . At each fixed positive only finitely many hat supports meet it.
Put and . Define on Borel subsets of by , the restriction to Borel sets of the measure with density . The density is Borel, and [F1]–[F4] give . Let be one when , decrease linearly to zero when , and be zero for . It is -Lipschitz; its supports are disjoint, and on .
Set and . Since and at most one latent support is active, . Each is continuous piecewise quadratic with compact support and bounded one-sided slopes, hence globally Lipschitz. More explicitly and on its support, so wherever the derivative exists; subdivision at finitely many corners gives this bound for all differences. Local finiteness in then proves joint local Lipschitzness of and Borel measurability of every section.
A valid measurable local joint constant is , with : the two product terms are bounded using , the -Lipschitz , and the bound in step 2.1. At any fixed nonzero only finitely many parameter supports are active, so . At every vanishes on a neighborhood of zero, so for each fixed the locally finite sum is constant in a neighborhood of ; take . 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.
Let . The density vanishes off the disjoint union of the intervals , and on each the function is constant with value . For , increases pointwise to , and is simple with integral by [F4, F10]. By [F2], ; by [F9], this equals . For each fixed only finitely many are nonzero, while [F1] gives , so . Therefore this integral is for and is at .
Put and let . The map is continuous in the product topology, so [F8] makes a Borel probability; for every Borel its marginals satisfy and , so it is a coupling. Any coupling is concentrated on by its first marginal. For Borel , let , which is Borel by continuity; concentration gives . The first marginal also gives , so the second marginal gives . Hence and this coupling is unique. Applying [F8] to and to gives its cost , so .
For any normalized -Lipschitz , [F8] applied to the constant-zero map and to gives and . The function is normalized and -Lipschitz, and its signed dual objective is by step 4.1. The compact KR duality [F7] therefore makes an attaining critic, in particular at . By step 3.1, each fixed latent section is constant near zero, so for every ; this derivative is measurable and integrable with expectation zero. Step 3.2 gives , so the two defined terms in the proposed identity are unequal.
Suppose there were a common-neighborhood generator envelope at zero: an open neighborhood of zero, a nonnegative measurable with , and a measurable set with such that for every and every . Since , there is such that for every . For every such and , the envelope then gives , because on and . By [F6], , so by step 1.2. The sets are disjoint and each contributes at least to . Summing these nonnegative contributions, using [F2] to pass from finite partial sums to their limit, forces , a contradiction. The counterexample therefore violates precisely the stronger corrected envelope premise while satisfying the original one.
Depends on
- The coupling definition of the 1-Wasserstein cost on a compact metric space
- Kantorovich–Rubinstein duality on compact metric spaces
- Probability measures and probability spaces
- For $|r| < 1$, $\sum_{k \ge 0} r^k = 1/(1-r)$, and for $|r| \ge 1$ the series diverges
- Monotone convergence for the integral
- The Dirac set function at a point
- A Dirac set function is a probability measure
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- The measure with density $f$ relative to $\mu$
- Integrating against a density agrees with integrating the product
- The indefinite integral of a nonnegative measurable function is a measure
- A box in $\mathbb{R}^n$ with parameters $a_i\le b_i$ is Lebesgue measurable of measure $\prod_{i<n}(b_i-a_i)$, whichever of its faces are included
- Nonnegative simple measurable functions
- The integral of a nonnegative simple function
- The nonnegative integral agrees with the simple integral on simple functions
- 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
Used by
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Sources
- Arjovsky, Chintala and Bottou, Wasserstein GAN; Assumption 1 and Appendix C, physical PDF pp. 20–21 and 24–25 (standard reference, not scraped)