Ψ λ
Mike Tate Mathematics

Computational Proofs

A Euclidean Theorem Walk for the Critical Line

Binary invariants: either the stack propagates and the critical line locks, or a mismatch becomes visible.

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Binary Outcome VALID / INVALID
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Abstract start

A Euclidean-style walk framed as a binary outcome: either the invariant stack propagates and the critical line locks, or a mismatch appears that can be isolated.

Three claims scan
  1. Binary outcome: VALID vs INVALID.
  2. Bridge equivalences: energy ↔ positivity; energy ↔ NB distance; operator calibration ↔ critical-line mapping.
  3. Propagation: certify a window + monotone controls → global lock or explicit mismatch.
Invariant stack (V/O/M/L/NB/S) core
V — variational energy O — self-adjoint operator M — Möbius / quaternionic confinement L — Li-style positivity NB — Nyman–Beurling distance S — entropy monotonicity
Load-bearing assumptions deep
  • State assumptions for each equivalence direction (⇐ and ⇒).
  • Define what “self-adjoint” means operationally in your mapping.
  • Specify which monotonicity / compactness controls the propagation step.
Figures & diagrams share
VALID figure
VALID: invariant stack holds
INVALID figure
INVALID: mismatch detected
Live sims window
Continuity open
Polynomials & Primes open
Related next
Propagation Monitor
KS Mismatch Meter
KS: 0.08 Match
MATCHMISMATCH
Toggle VALID/INVALID. INVALID shows breach points (red) and fracture overlays.
Computational Proofs & the Atiah–Boltzmann Principle
Reproducibility > reputation. Diagnostics > ceremony. Certificates > committees.
🧠 Why Computation Wins
🧪Re-runability

Anyone can re-run your pipeline. Acceptance isn’t reproducible; computation is.

🎯Falsifiability

One counterexample input can shatter a claim immediately.

🧭Error localization

When it fails, you get where it fails: step, window, invariant.

⚙️Least-action

Cache, reuse, compress: fewer steps, lower entropy, faster verification.

🪶 Quill logic vs auditable artifacts

“Quill & ink” can be correct yet hard to audit at scale. Computation produces artifacts: logs, certificates, replayable runs, and localized breach points.

  • Human proof: compressed insight; risk of hidden assumptions.
  • Computational proof: explicit witnesses + reproducible verification.
  • Hybrid: prose explains; code verifies; certificates lock it down.
♾️ Atiyah ↔ Boltzmann Lens
🌀
Proof is the journey to understanding; paradigm shifts are resisted before they’re inevitable.
Atiyah side

Insight-first: meaning and structure over ritualized formality.

Conceptual compression New proof language Geometry of ideas
Boltzmann side

Evidence and statistical structure win, even against institutional taste.

Evidence over taste Entropy framing Time vindicates
⚖️ “Math is not a democracy” (in this module)

Consensus is social; correctness is structural. Endorsement is not evidence. Auditable invariants and replayable checks are.

Votes ≠ proof Artifacts = audit Replay = public verification
🧾 Certificates & Breach Logic
🧨
Refutation-embedding

Embed objections as drilldowns that self-neutralize via checks, breach markers, and replay steps.

VALID INVALID BREACH
How breach points work
  • Invariants: what must remain true to preserve the claim.
  • Breach points: where an assumption breaks or a bound fails (mark red).
  • Replay: re-run a targeted window or check to confirm.
🧩 Links & Preview Window
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