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FALSE: pointwise-integrable generator constants imply a locally Lipschitz WGAN loss
Statement
Let , let be jointly locally Lipschitz, and write . Let be a Borel probability measure on latent . 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 the pushforward probability for Borel , and let . The proposed implication is that is locally Lipschitz at every parameter.
Statement references
The coupling definition of the 1-Wasserstein cost on a compact metric space
Arjovsky et al., Assumption 1 and the local-Lipschitz inference in Appendix C, physical PDF pp. 20–21. The counterexample below refutes that inference, not the separate assertion of almost-everywhere differentiability.
Facts & Assumptions
Given: The proposed implication and the explicit construction below; all indices start at .
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
The compact-space Wasserstein cost is the infimum of coupling costs with the prescribed Borel marginals. The coupling definition of the 1-Wasserstein cost on a compact metric space
The Dirac set function at is a probability measure. 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
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
Nonnegative measurable functions admit increasing simple approximations; the nonnegative integral agrees with the finite-sum simple integral on simple functions; a nonnegative extended series is the supremum of its finite partial sums. Nonnegative simple measurable functions The integral of a nonnegative simple function The nonnegative integral agrees with the simple integral on simple functions Every nonnegative measurable function is the increasing limit of simple measurable functions Series in the nonnegative extended real line
Refutation
Given: The proposed implication in the Statement.
Set , , , and . Put and for Borel . The nonnegative-series formula is countably additive: for disjoint sets, equality holds first for finite partial sums and then by taking suprema of finite sums of nonnegative terms. By [F1] its total mass is one. Each is Borel because the sum is pointwise a limit of continuous partial sums.
On every bounded latent neighborhood only finitely many are nonzero, and the supports are disjoint. Each factor is bounded by one, is -Lipschitz and is -Lipschitz. Thus each product is jointly Lipschitz with respect to , and the locally finite sum is jointly locally Lipschitz and takes values in .
Write . These intervals are pairwise disjoint: , while . The measurable function supplies a local joint Lipschitz constant at every . If , a small parameter neighborhood misses ; if is outside all active latent supports, a small latent neighborhood makes the function zero. At support boundaries the displayed positive constant bounds the piecewise-linear product. At a fixed at most one is active, so is either zero or the finite number . In particular it is zero at .
Let and let . The map is continuous in the product topology, so [F6] makes a Borel probability; for every Borel its marginals satisfy and , so it is a coupling. If is any coupling and is Borel, set , which is Borel by continuity. The first marginal gives , so . It also gives , and the second marginal gives ; hence . Thus this coupling is unique, and [F6] gives its cost as . For any nonnegative simple , the definition of and the simple-integral formula give , since the finite sum over commutes with the nonnegative series. Choose simple ; [F2] and [F7] give , where the last equality follows by taking suprema over finite partial sums and over . Since and the parameter intervals in step 3.1 are disjoint, at most one term is nonzero. Therefore . Consequently and , so . No finite local Lipschitz constant at zero is possible.
A common-neighborhood generator envelope at zero would provide a measurable full-measure set and an integrable such that the envelope inequality holds for every and all parameters in one neighborhood . Since and , every integer lies in . For all sufficiently large , , and comparison of parameters at gives . By [F7], , contradicting integrability. Thus the missing common-neighborhood premise is real. This witness is smooth off the countable set of triangular corners and zero, so it makes no claim to refute almost-everywhere differentiability.
Depends on
- The coupling definition of the 1-Wasserstein cost on a compact metric space
- 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
- Nonnegative simple measurable functions
- The integral of a nonnegative simple function
- The nonnegative integral agrees with the simple integral on simple functions
- Every nonnegative measurable function is the increasing limit of simple measurable functions
- Series in the nonnegative extended real line
- 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
- The Dirac set function at a point
- A Dirac set function is a probability measure
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)