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Conditional kappa 0.001587212454640692: trace refinement with a curvature-cone certificate - #541
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Thank you @Dugongue. This contribution at Trace curvature and context substitution alter the local frame ledger; finite replay compares the reconstructed profile and exact cost against the stated curvature certificate. No global optimality is inferred. Preserved implementation and research: The family review and individual disposition record the scope, evidence and attribution. Parallel and intermediate contributions remain credited even where a later composition has a stronger bound. The published multiplication bound remains conditional on the documented compiler, realization, hosting and analytic assumptions; these finite checks are not a full Lean multiplication proof. |
… nine-stage c 0.001733427039589844234749 Hoist one summand of a D4 mini-node gate to its rank-1 frame and sink another to the rank-7 pseudo-total frame (tune/moves.json, tune/apply.py), found by running the mechanisms of PR #541, #542 and #548 as generic searches on PR #555's word. Nine-stage c +0.0216% (eleven-stage 0.001710951900777583975622, +0.0201%); kappa unchanged (complex-bound). tune/verify.sh replays the stacked word through PR #555's chains; PR #555's verify.sh is unchanged. MANIFEST.sha256 lists tune/. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Result
Conditional kappa = 0.001587212454640692, exactly
396803113660173/250000000000000000: +0.143940% over #535 at its pinned head0d343e2f813f962405481f83d8935299812a7a1c.This combines a new bit word with #535's unchanged complex supplier. The bit supplier still binds:
c = 0.001589735702947998836661.b = 0.001589991533606044174031.New numerical mechanism: move the scalar event, then relabel its frame
On the R480 bit word from #503/#510, factor 60 two-source helper additions. Move one summand across its explicitly checked commuting prefix and execute it at the original source's rank-one frame. Leave the other summand at its old location, then regenerate literal inverse cleanup. The complete operator on arbitrary source, target and dirty-helper inputs stays unchanged.
The helper climb splits into two rank-one climbs, while a source's formerly separate rank-one and rank-two climbs coalesce into rank three. The exact paid local difference is
The complete local profile, including all nine retained rank-eight copies, is
The 480 helper residuals keep their width-eight signature. They fit the unchanged literal whole-owner selection in nine stages and 32 replicas. The complete global profile, including every remainder, is
Live stock 30,720, physical stock 30,729, rank deficit 9,984, total child count and primitive scalar-add count are unchanged. The gain comes from the rank distribution, not omitted work or added numeric bonuses. The complete two-supplier assembly is recomputed.
Four reusable sufficient arguments
C_j = sum_{r<j}(j-r)*delta_rcharacterizes domination for every discrete concave cost byC_j >= 0. Its second difference reconstructs the exact profile delta. Here onlyC_2 = 17,280is nonzero, proving strict moment improvement for every exponent0 < a < 1, including the unchanged fallback envelope. The proof is independent of decimal tuning.D A^-1. The package gives a concrete neutral 720-column transport example and a separate 40-to-44-pivot complex presentation checked on 728 columns in both orientations with 44 omission controls.The fourth argument's examples are research extensions, not extra final exponent gains. The 44-pivot complex candidate is local-only and still needs global physical admission; the numerical result uses unchanged #535. These are explicit sufficient proofs for this application, not claims that transvections, concavity or conjugation are globally new mathematics. No new Lean certification is claimed.
Direct dependencies and inspiration
64edee18af02aab0c1696b677a0287dd0146381b): nine-stage R480 controller, exact whole-owner selection and bit invoice.0d343e2f813f962405481f83d8935299812a7a1c): unchanged complex supplier and assembly lineage. It is cited and repriced, not redundantly reconstructed.Verification and reproduction
From
research/trace-curvature-preload, with Python 3.11+, NumPy, SymPy, C++17 and genuine Boost headers:Offline; no search, optimizer, network, GPU or Lean is required. The replay checks:
Root manifest hashes normalize text line endings; the new bit-word and geometry gzip files fix level 9, mtime 0 and OS 255. Inherited generated templates are identified by uncompressed contents. The final upload is split into small browser-safe batches, and its reconstruction is compared against the checked source tree. User-identifying attribution is redacted only from inherited metadata, while PR numbers, source hashes, other authors and licenses are retained.
Scope
This is a conditional finite-witness improvement under the retained all-size compiler, common-label/mutable-basis, whole-call hosting, restored-work, precision/tape and analytic-transfer contracts. It is not an unconditional sub-n-log-n multiplication theorem. Proofs, bounded unsuccessful routes, constructor recipes, upstream lineage and exact evidence are included for future work.