Alphabeta Math
ExampleConstruction: AI-generatedVerification: AI-generatedPipeline-generatedprecheck passverified 2026-10-23 (gpt-6.1-sol)
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.

A mean-zero square pressure time test

Example

Assume Countable Choice. Take D=(0,1)2, T=1, and a smooth MINI observation interface with three time cells 0=t0<t1<t2<t3=1 satisfying the accumulated-pressure proposition's strong-solution and time-step hypotheses. Use the mean-zero pressure sensor ξ(x,y)=x−12. Choose any nonconstant η^∈Cc∞((14,34)) and set η=η^/∥η^′∥L1(0,1). Then ∥ξ∥L2(D)=1/12 and ∥η′∥L1(0,1)=1. For every node m∈{0,1,2,3}, the accumulated pressure observation error is at most KH/12 and the time-tested pressure observation error is at most (K+1)H/12, where K and H are exactly those in the accumulated-pressure proposition.

The diagram records only the definitions: the horizontal cells carry the right-constant pressure reconstruction, and each arrow adds the corresponding pressure increment to the Q-valued primitive. Horizontal spacing is schematic and does not encode the time-step sizes; node heights are layout only and do not encode pressure magnitudes or data.

\begin{tikzpicture}[>=stealth] \node (p0) at (0,1.25) {Ph0=0}; \node (p1) at (2,1.25) {Ph1}; \node (p2) at (4,1.25) {Ph2}; \node (p3) at (6,1.25) {Ph3}; \draw[->] (p0) -- node[above] {+τ1ph1} (p1); \draw[->] (p1) -- node[above] {+τ2ph2} (p2); \draw[->] (p2) -- node[above] {+τ3ph3} (p3); \draw[->] (0,0) -- (6.4,0) node[right] {t}; \foreach \x/\lab in {0/t0,2/t1,4/t2,6/t3} \draw (\x,0.08) -- (\x,-0.08) node[below] {\lab}; \node at (1,0.38) {pˉh=ph1}; \node at (3,0.38) {pˉh=ph2}; \node at (5,0.38) {pˉh=ph3}; \end{tikzpicture}

Facts & Assumptions

Given: Countable Choice, a smooth MINI interface on the unit square with three time cells, a nonconstant η^∈Cc∞((14,34)), and the sensor and normalized time test in the Example.

[A1]

Countable Choice means that every family (Xn)n∈N of nonempty sets has a choice function f with f(n)∈Xn. (The Axiom of Countable Choice (ACω))

[F1]

The accumulated-pressure proposition bounds the endpoint observation by KH∥ξ∥Q and the time-tested observation by (K+1)H∥η′∥L1∥ξ∥Q under the stated smooth-branch hypotheses. (Accumulated pressure-observation error for the smooth MINI branch)

[F2]

The interface defines the accumulated-pressure observation (P(tm)−Phm,ξ)L2 and the time-tested pressure observation (∫0T(p(t)−pˉh(t))η(t) dt,ξ)L2. (Smooth MINI observation interface)

[L1]

Direct integration on the unit square gives ∫D(x−12) dx dy=0 and ∫D(x−12)2 dx dy=1/12.

[L2]

If the smooth compactly supported function η^ were to have ∥η^′∥L1=0, then continuity of its derivative would force η^′=0 everywhere, making η^ constant; this contradicts the given nonconstancy.

Verification

Given: The interface and tests in the Example.

1.1givenL1algebra

By [L1], ξ∈Q and ∥ξ∥Q=1/12.

1.2givenL2algebra

By [L2], ∥η^′∥L1(0,1)>0, so η is defined and has ∥η′∥L1(0,1)=1.

2.1A1F1F2step 1.1step 1.2algebra∎

Apply [F1] using the interface observations in [F2] with this ξ and η. Substituting the two norms from steps 1.1 and 1.2 gives the endpoint bound KH/12 at every 0≤m≤3 and the time-tested bound (K+1)H/12. These are conditional mathematical error bounds, not measured values.

Depends on

Dependency tree · 2 levels

Sources