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.
Polynomial activations have a bounded-degree obstruction
Statement
Assume Countable Choice. Let , , and let be measurable and equal almost everywhere to a polynomial of degree at most (including the zero polynomial). For every finite single-hidden-layer network with activation , its restriction to the segment cannot approximate the target uniformly with error less than
Consequently these networks are not uniformly dense in .
Statement references
Facts & Assumptions
Given: Countable Choice, , a measurable activation outside a Lebesgue-null set , and a finite network .
A single-hidden-layer network is with finite width and arbitrary real parameters (Single-hidden-layer network realization).
For , the pullback of a one-dimensional Lebesgue-null set under is Lebesgue null (Nonconstant affine ridge pullbacks preserve Lebesgue nullity).
Every nondegenerate interval has positive one-dimensional Lebesgue measure (A box in with parameters is Lebesgue measurable of measure , whichever of its faces are included).
A finite union of measurable null sets is null by finite subadditivity (Finite and countable subadditivity of measures).
Countable Choice means every sequence of nonempty sets has a function choosing one element from each (The Axiom of Countable Choice ()); it is assumed in [F2].
Proof
Restrict each unit of to . If its first weight coordinate is zero, that unit is constant in . If that coordinate is nonzero, [F2] says the set of for which its preactivation lies in is null. There are finitely many units, so their union is null by [F4] and cannot contain a nondegenerate interval by [F3]. Every nonempty relatively open subset of contains a nondegenerate interval, so the complement is dense in . On this dense complement every nonconstant unit equals . Thus agrees there with a polynomial of degree at most ; the constant units are absorbed into its constant term.
Suppose . On the dense subset from step 1.1, ; continuity of both polynomials extends the weak bound to all of .
Put and evaluate the st forward difference at . Its nodes are for , all in . The forward-difference operation lowers the degree of every nonconstant polynomial by one and multiplies its leading coefficient by its degree times . Iterating it times therefore annihilates and gives on . The approximation bound [step 2.1] makes the absolute value of the resulting error sum at most , since the binomial coefficients sum to . But this is half of by the definition of , a contradiction.
Hence no network attains the stated error on this target, so the family is not uniformly dense on . The argument includes , where it says constants cannot approximate to arbitrary accuracy.
Depends on
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- Single-hidden-layer network realization
- Nonconstant affine ridge pullbacks preserve Lebesgue nullity
- 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
- Finite and countable subadditivity of measures
Used by
Dependency tree · two levels
31 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.