research 27 posts

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Periodicity Is Enough — Every Nonconstant Periodic Function Is Out of EML's Reach

sin was the specific target. It turns out sin was never the point — no finite EML tree can equal ANY nonconstant, continuous, periodic function, full stop. We built genuine Extreme Value Theorem machinery to get there, then found the proof didn't need it: periodicity alone does the work an infimum was supposed to. Honest scope inside.

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The Axiom You Can't See — A Machine-Checked Trust Boundary, and the False One It Caught

MachLib runs on axioms. The last post showed Mathlib's ℝ models each one, by hand. This post makes that an always-on invariant: enumerate the axioms from the kernel, decide 'witnessed' by typechecking an interpretation — never by name — and diff both directions so it fails loud. The teeth were real: the audit rejected an axiom that was actually false, an open-interval Rolle a name-matching check would have rubber-stamped forever.

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A Model for the Axioms — MachLib's Reals, Weighed Against Mathlib

MachLib's real numbers are an axiomatized interface, kept Mathlib-free for build speed. There's now a machine-checked witness that those axioms are consistent: Mathlib's ℝ models every one of them, each #print axioms bottoming out in Lean's three. The analytic finite-zeros theorem, once postulated, is now proved. Honest scope inside.

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Oscillation Is a Compact Torus

The Infinite-Zeros Barrier — the line between functions you can write as a finite EML tree and ones you can't — turns out to be the compact (rotational) factor of a differential Galois group. We connect the two, turn 'is this function representable?' into a computation from a differential equation, validate the special-function registry against it, and machine-check the core in Lean. Honest scope inside.

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Stress-Testing the eFrog → Forge Pipeline

A 63-function corpus through 6 software backends, then 17 multi-function modules, then a Lean proof-emit survey. Four real Forge bugs and two eFrog bugs surfaced and fixed upstream with regression coverage. Hardware-target survey blocked on Pro license. Honest scope inside.

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Two Independent Routes to the SingleExp Khovanskii Bound

MachLib now has a second, fully constructive proof of the SingleExp Khovanskii zero-count bound, built on a polynomial canonicalizer instead of the ExpPolyBridge embedding. Same theorem, different machinery, same axiom footprint. Honest scope inside.

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The Dashboard the Verification Needed

We shipped a constructive Khovanskii framework on MachLib, then built the CI dashboard the framework deserved. The dashboard caught us over-counting on its first run.

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The EML Advantage Lab

A bounded research ledger for where EML helps, where protected standard math wins, and which claims remain blocked.

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The First Proof-Carrying Rescue

A narrow Forge trace now demonstrates the Monogate stack's first end-to-end boundary rescue shape: raw domain-wall failure, log-domain lift, rescue packet, and MachLib positive-coordinate obligation.

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The Fourth Proof-Carrying Rescue

Forge now has a saturation-deshelf packet: finite clamp-shelf collapse, pre-clamp pressure replay, boundary-structure recovery, and a MachLib clamp-invariant obligation.

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How to Read the Rescue Suite

A practical guide to the proof-carrying rescue suite manifest: what the packets mean, what they prove, and what they deliberately do not claim.

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Proof-Carrying Rescue Status

A compact status table for Monogate's boundary rescue operators: Forge evidence, MachLib bridge status, and publication state.

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Proof-Carrying Rescue Suite v0

The Monogate boundary-event rescue suite now has four packet-backed lanes and a unified Forge manifest.

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The Second Proof-Carrying Rescue

Forge now has a guard-clamp overflow rescue packet: raw overflow-wall failure, bounded guarded evaluation, guard-rescue transition, and MachLib output-safety obligation.

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The Third Proof-Carrying Rescue

Forge now has a precision-escape packet for a finite phantom-attractor trace: low-precision stalling, higher-precision sensitivity, escape to an interior event, and a MachLib precision obligation.

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Why EML Optimization Lives on the Boundary

High-dimensional volume collapse explains why EML tree search hits corners, log-domain cliffs, overflow walls, and phantom-attractor behavior. The Monogate stack now has Forge traces, IR evidence, and MachLib theorem targets for it.

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The Equation That Counts Physics

Hand a damped-oscillator equation to a computer and it can tell you, without knowing any physics, that there's one oscillation and one decay inside it. Across 193 expressions and 12 domains, this counter holds at ρ = +0.885.

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Is the Cost Theory Complete?

One accounting identity for the SuperBEST node cost of a scientific equation. The decomposition (T38) is a definition, not a theorem; several results hold only as upper bounds, and the Quadratic Ceiling Conjecture and other problems are open. The predictions were checked on 100 validation equations.

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Predicting SuperBEST Cost from Equation Structure

Four structural classes, the cost decomposition (T38, a definition), complexity classes O(1)/O(N)/O(N²), and the Linear Ceiling Conjecture (T39): an upper-bound model of how many EML nodes a standard scientific equation needs.

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EML Generates the Exponential Mandelbrot Set

Iterating exp(z)−k is Devaney's exponential family. We computed 8 operator fractal zoos, measured box-counting dimensions, and found DEML/EMN generate bounded strange attractors.

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The EML Self-Map Has No Fixed Points

f(x) = exp(x) − ln(x) satisfies f(x) > x for all real x > 0. The gap is minimized at x ≈ 0.806, where f(x) − x ≈ 1.6486. This is a proposition (T11) about the operator's self-interaction; of the eight operators compared below, EMN and EDL have no real fixed points either.

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Timbre Is EML Node Count

Each Fourier harmonic is one complex EML node. We measured timbre complexity for 5 instruments and found: Sine=1n, Clarinet=5n, Violin=12n. EXL is the most musically useful operator.

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We Found a Faster Multiplication: 3 Nodes

The BEST router's mul entry drops to 3 nodes via exl(ln(x), exp(y)) = x·y. A search confirms 3 is the minimum over four operators (EML, EXL, EAL, EDL); with more operators multiplication takes 2 nodes, and 1 for x, y > 0.

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0.99999524: The Near-Miss

How close can an EML tree get to i? The closest depth-6 value is 4.76×10⁻⁶ away. The tan(1) obstruction once given is not a proof, and a depth-7 tree gets its imaginary part within 7.9×10⁻¹² of 1.

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