Six mathematical faculties, each formalized as a physical-representation module. The modules compose hierarchically into one modular synthesis, and every rung of the ladder adds an emergent representational property that the level below cannot express.
Live site: https://math-phy-library.vercel.app · Repository: https://github.com/YonedaAI/math-phy-library
This project decomposes a single representation-stack manuscript into six focused papers plus a synthesis, seven in all. Each paper takes one mathematical domain and formalizes it as a module in a shared representation stack with a common realization pipeline
Obs_α(M) = Obs( Real_α( Φ(M) ) )
The modules stay separate and compose instead of merging into a monolith. The synthesis proves a
closure theorem: Part I introduces the representation stack abstractly, and the Part VI capstone
discharges it via descent-theoretic stackification. The isotropy keystone
Aut(x) ≃ Stab_G(x) carries the argument, and its physical face is gauge redundancy ≅ quantum high-availability.
Every paper has been peer reviewed, code reviewed, and formally verified (see below).
| Part | Title | Pages | Read | |
|---|---|---|---|---|
| I | Foundations: The Representation Stack and the Realization Pipeline | 25 | read | |
| II | Motives, Periods, and Amplitudes: The Coalgebraic Anatomy of Physical Representation | 26 | read | |
| III | Algebraic Geometry: Spaces of Physical Possibility | 27 | read | |
| IV | Algebraic Topology: Conserved Global Information | 24 | read | |
| V | Category Theory and Homotopy Type Theory: Composition and Identity | 24 | read | |
| VI | Sheaves, Stacks, Gauge Redundancy, and Quantum High-Availability | 23 | read | |
| — | A Modular Representation Synthesis: Composing Six Mathematical Faculties into Physical Representation | 24 | read |
173 pages total.
Part I Foundations ──────────── the representation stack + realization pipeline
│ ↳ coalgebraic anatomy
Part II Motives / Periods / Amplitudes
│ ↳ geometric variation
Part III Algebraic Geometry
│ ↳ functorial conservation
Part IV Algebraic Topology
│ ↳ universal compositional grammar
Part V Category Theory & HoTT
│ ↳ high availability / fault tolerance
Part VI Sheaves, Stacks, Gauge Redundancy, Quantum High-Availability
↓
Synthesis closure theorem — the ladder closes on itself
Each arrow names the emergent property that appears only after composition.
Each domain paper comes with machine-checked companions:
- Haskell (
src/<topic>/): every major theorem has a QuickCheck property and an equationalProofs.hsderivation; all modules compile underghc -Wall -Wextra -Werror, andMainexits 0. (15 to 34 QuickCheck properties plus 8 to 10 equational proofs per topic, all passing.) - Lean 4 (
lean/<topic>/): best-effort formalization sketches of the core structures and theorem signatures; they elaborate standalone.
Review. Every paper went through iterative peer review by agy (Antigravity CLI, Gemini
3.1 Pro), which caught genuine mathematical errors across the series: a Z₂^{4g} surface-code
logical-group correction, a Conditional-Amplitude-Decomposition category error, a translation-strength
inconsistency, and more. Each paper also had a Codex (gpt-5.5) formatting and code review, and both
passes ran in fix loops until the reviewers were satisfied. Round-by-round reviews are in reviews/.
papers/latex/ LaTeX sources (7 papers) website/ Next.js static site (deployed to Vercel)
papers/pdf/ compiled PDFs docs/papers/ pandoc HTML conversions
src/<topic>/ Haskell modules + Properties/Proofs posts/ social posts (4 platforms × 7 papers)
lean/<topic>/ Lean 4 sketches reviews/ agy + Codex review transcripts
images/ cover images (300 DPI) context/ original source material
# Papers
cd papers/latex && pdflatex -interaction=nonstopmode <topic>.tex # ×2
# Haskell verification (per topic)
cd src/<topic> && ghc -Wall -Wextra -Werror -o test Main.hs *.hs -package QuickCheck && ./test
# Website
cd website && npm install && npm run build # static export to website/out/Matthew Long — The YonedaAI Collaboration, YonedaAI Research Collective, Chicago, IL · research@yonedaai.com · https://yonedaai.com
Research artifacts released for academic use.