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Articole: 68
  1. Eight Circles, Except When There Are Seven

    Apollonius' problem has eight solutions in generic position.

  2. A Conjecture That Was False by One Exponential

    We named a proof obligation about how fast a shallow exp–log expression can approach zero.

  3. sin was the specific target.

  4. Two Things We Didn't Close, and Exactly Why

    A chain-order hierarchy theorem and an effective validity threshold — both flagged 'hard' by outside review months ago.

  5. MachLib runs on axioms.

  6. MachLib's real numbers are an axiomatized interface, kept Mathlib-free for build speed.

  7. We lifted an earlier rolle-only, machine-checked finiteness proof from one hardcoded tower of iterated exponentials to arbitrary exponential-type Pfaffian chains at every depth — with one honest hypothesis we do not round off: positivity.

  8. The finite zero-count bound for iterated exponentials now reaches e^(e^(e^x)), unconditionally and with the Khovanskii-citation axiom removed.

  9. We Injected a Fault and the Safety Proof Held

    A saturating guard keeps a plant's state inside a safe envelope for all time, for any controller, under any bounded disturbance.

  10. We Put the Proof on a Real FPGA

    One verified math source compiles to software, RTL, and a GPU shader.

  11. 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.

  12. 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.

  13. 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.

  14. MachLib now ships a finite zero-count bound for polynomial-in-(x, eˣ), proven modulo an axiomatized analytic base.

  15. The Dashboard the Verification Needed

    We shipped a constructive Khovanskii framework on MachLib, then built the CI dashboard the framework deserved.

  16. The EML Advantage Lab

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

  17. 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.

  18. 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.

  19. 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.

  20. Proof-Carrying Rescue Status

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

  21. Proof-Carrying Rescue Suite v0

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

  22. 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.

  23. 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.

  24. 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.

  25. 578 expressions, 50 Lean theorems, 5 PyPI packages, an npm port, a HuggingFace dataset, three websites, four interactive demos.

  26. 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.

  27. Hear the Math: When Equations Become Sound

    The best-selling synthesizer in history runs on a Bessel function.

  28. One Operator, All of Applied Mathematics

    The NAND gate of continuous math.

  29. A 600-point parameter sweep across all 16 F16 operators shows that 12 of them collapse to period-2 dynamics, while the four multiplicative operators (EXL, DEXL, EXN, DEXN) exhibit long cycles, chaos, and a period-3 Sharkovskii signature.

  30. The EAL self-map and the EXL self-map have completely different fixed points, yet both have derivative exactly 4.3164206… at those points.

  31. FMA Is the Only Primitive That Matters

    We measured the node-cost decay across seven basis states on 222 elementary-function equations.

  32. When Olympiad Problems Produce EML Trees

    Classical functional equations characterise exp and ln, and their solutions turn out to be minimal EML trees — often cheaper than the equations that define them.

  33. The Oscillation Boundary

    Across 315 tested equations, a clean dichotomy: oscillatory functions sit outside ELC with one exception — a non-elementary token.

  34. Six canonical electromagnetic formulas costed in F16 nodes.

  35. Two Boundaries of ELC

    The elementary logarithmic closure is bounded by two structurally independent obstructions.

  36. What We Got Wrong

    Four things we retracted, corrected, or demoted during the 2026-04 foundation audit.

  37. Which Way Does the Transform Go?

    Classical integral transforms partition into three ELC-direction classes.

  38. The Exp-Log Duality at Fixed Points

    Every repelling fixed point of exp is an attracting fixed point of log on its branch, with reciprocal multipliers.

  39. sinh, cosh, and tanh map ELC inputs to ELC outputs. sin, cos, and tan don't.

  40. Every Log Branch Has Its Own Attractor

    Iterate principal log on any seed in ℂ and you land at 0.318 + 1.337i.

  41. The ReLU–Softplus Error is Exactly ln(2)/β

    How much accuracy you lose by approximating ReLU with the smooth softplus activation — to three decimals, this is a clean closed-form constant.

  42. 214 Equations: The SuperBEST Cost of Science

    A complete catalog of SuperBEST node counts for standard equations across 12+ domains — from 1-node trivialities to 2037-node error correction.

  43. The only operation in SuperBEST costing more than 3 nodes was general-domain addition at 11n.

  44. The SuperBEST Cost of Calculus

    Taylor series, integration, ODEs, autodiff, and Fourier transforms measured in EML nodes.

  45. SuperBEST Node Costs: Chemistry and Biology

    How many operator nodes does it take to compute 40 standard equations from chemistry and biology?

  46. 16 operators, one structural rule: exp(+x) with no domain restriction implies exactly complete. exp(-x) implies incomplete.

  47. What If tan(1) Were Constructible?

    A thought experiment: if tan(1) could be built from EML trees, what would follow?

  48. The SuperBEST Cost of Everything

    From Google's PageRank to your GPS to the NFL passer rating — every equation has a node count.

  49. Four structural classes, the cost decomposition theorem (T38), complexity classes O(1)/O(N)/O(N²), and the Linear Ceiling Conjecture (T39): a complete theory of how many EML nodes any standard scientific equation requires.

  50. The Cost Theory Is Complete

    One formula predicts the SuperBEST node cost of any scientific equation.