Policy & Applied Research
Focused Ultrasound Neuromodulation for Substance Use Disorder
A unified mathematical framework for low-intensity focused ultrasound (LIFU) neuromodulation targeting the nucleus accumbens (NAc) in substance use disorder, coupled to the λ-Stack as a real-time safety and control architecture. Situated against the current U.S. burden of disease: 48.4 million past-year SUD in 2024 (SAMHSA); 79,384 drug overdose deaths including 54,045 opioid-involved (CDC 2024).
The paper treats the first published clinical signal (Rezai et al., 2025: 91% mean craving reduction over 90 days, n=8, open-label) with appropriate discipline—as a mechanistically coherent preliminary signal warranting controlled confirmation, not as established efficacy. Core contribution: a mathematics-first safety, observability, and control architecture for NAc-targeted LIFU, with formal adverse-event analysis and transparent parameter reporting.
LIFU Safety Parameter Explorer
Interactive — adjust parameters; safety constraints update in real time
Identity Friction, Diplomatic Nomenclature, and Pastoral Strategy: Taiwan in Holy See–PRC Statecraft, 2026–2106
A decision-analytic memorandum for senior ecclesial and policy principals whose remit includes Taiwan, China, the Holy See, or long-horizon institutional strategy. The governing question is strategic, not theological: does the Holy See’s current public diplomatic language about Taiwan create a measurable risk to Catholic mission, and if so, which course of action best protects Taiwan’s Catholic community while preserving engagement with China?
The paper distinguishes three often-conflated things: the Holy See’s legal position on sovereignty, its diplomatic terminology (e.g. “China (Taiwan)”), and how that terminology is received on the ground in Taiwan. It introduces explicit crisis criteria, a quantitative scenario model projecting baptisms under five strategic paths to 2106, and a threshold instrument answering how large China-side gains would need to be to justify Taiwan-side costs. Anchored in the “Poland argument”: Taiwan can serve as the free institutional base for a future China mission—but only if the Church first escapes the current 2% ceiling imposed by civic-register misalignment.
Capital Flows & Institutional Transparency
Maps confirmed capital flows between Western institutional investors and entities linked to PRC or Russia state structures through regulatory designations, audited financials, court records, and official corporate registries. Sources include SEC Form 13F and N-PORT filings, Federal Register publications, IRS Form 990 disclosures, Companies House and Swiss commercial register records, Vatican financial statements, and agency press releases. Only confirmed, documented holdings appear; inferences are tagged explicitly and withheld from primary tables.
Institutions covered: Knights of Columbus Asset Advisors (KoCAA), CommonSpirit Health, Ascension Health / Ascension Investment Management, HSBC Holdings, the Holy See (IOR, APSA, Peter’s Pence), and Aid to the Church in Need as positive control. The foundational policy document examined is the USCCB Socially Responsible Investment Guidelines (2021). Regulatory designation is reported as a fact of administrative record, not as a finding of wrongdoing against any investor.
Governance Legitimacy Index — A Five-Indicator, Externally Verifiable Framework
Conventional governance assessments rely on self-reported approval surveys that authoritarian governments can suppress, fabricate, or selectively publish. This index substitutes five indicators whose primary data sources lie outside the scored government’s jurisdiction: emigration and wealth-migration flows (recorded by receiving countries), satellite-verified GDP fidelity (NASA/ESA nightlight data), excess-mortality transparency (EuroMOMO, WHO), economic misery (Hanke Annual Misery Index, Johns Hopkins), and foreign-exchange black-market premium (parallel rate indices). The composite score is expressed to one decimal place, ensuring every entity carries a unique rank. Approximately 195 sovereign entities are scored as of 2025–early 2026.
Key findings: Taiwan (95.4) holds the world’s lowest misery index (HAMI 2.1) and scores among the highest-legitimacy governed entities by any indicator combination. Russia (16.8) fails all five simultaneously. Venezuela (7.2) anchors the floor among nominally democratic states. The U.S. scores 82.4—reflecting structural institutional strength, not incumbent satisfaction. Includes an interactive dashboard with regional filters, a complete indicator table, and a 10,000-word country-by-country analytical commentary written at senior foreign-service and intelligence-community standards.
Thucydides of IR/IL — Work Algorithms, Strategy, and Law
Thucydides is presented here as a working method for International Relations and International Law, not only as a canonical historian. The project turns The History of the Peloponnesian War into a reusable analytic operating system: fear, honor, and interest; rising-power fear; the prophasis/aitia split between deepest cause and stated grievance; speech as policy engine; alliance credibility; neutrality feasibility; stasis escalation; imperial tribute logic; sea-power systems; preventive-war pressure; and the separation between might and right.
The reference includes a numbered overlapping-prevalence ranking of sixty Thucydidean strategy algorithms, three hundred derived passage-lens study nodes, an IR theory matrix, an International Law contrast map, a timeline of the war, a Greek concept glossary, and worked demonstrations on the Corcyra crisis, the Mytilenean debate, the Melian Dialogue, Periclean restraint, Sicilian overreach, plague shock, and civil-war moral inversion. It is designed for reading Thucydides through classical realism, neorealism, constructivism, English School theory, jus ad bellum, jus in bello, sovereignty, treaty compliance, and modern institutional order.
GitHub Pages path: create thucydides/index.html and place the interactive page there.
Executive Case-Method Work Algorithms — 300-Case Decision Reasoning Engine
A legally clean, independent research synthesis of business-case analysis and executive decision reasoning. The project reconstructs the case-method style as a reusable operating system: dilemma framing, stakeholder and incentive mapping, exhibit triangulation, unit economics, scenario trees, board-plan architecture, recommendation memos, appendix defense, implementation risk, and post-decision learning. The aim is not to reproduce proprietary teaching materials, but to formalize a general managerial-reasoning workflow suitable for independent study, strategy preparation, and executive communication.
The page contains ten macro-systems, one hundred ranked strategy atoms, a three-hundred-case corpus, and a three-thousand-micro-move engine. Each case unit is decomposed into protagonist, decision moment, governing question, known facts, assumptions, exhibits, numerical model, alternatives, recommendation, and execution-risk loop. The resulting framework turns case analysis into a disciplined sequence of questions rather than an informal discussion habit.
GitHub Pages path: create executive_work_algos/index.html and place the interactive page there.
Strategic Legal Operations Work Algorithms — Lawfare as Battlefield
A war-college-style analytical reference treating the legal environment as an operational domain: authority, jurisdiction, attribution, legitimacy, evidence, sanctions, export controls, tribunal exposure, cyber and space norms, coalition interoperability, domestic war powers, and information effects become terrain. The page synthesizes lawfare theory, operational law, LOAC/IHL, national-security law, comparative constitutional law, computational legal modeling, and professional wargaming into a single question-driven framework.
The corpus contains three hundred case units spanning thinker/doctrine cases, manual and institution cases, and historically relevant war, battle, crisis, cyber, maritime, occupation, sanctions, tribunal, and gray-zone examples. The framework is explicitly educational and defensive: it is designed for understanding legal terrain, legitimacy risk, coalition friction, and accountability exposure, not for abusive litigation, unlawful targeting, or evasion of legal obligations.
GitHub Pages path: create lawfare_work_algos/index.html and place the interactive page there.
Intelligence Work Algorithms — Historical Case-Method Reconstruction
A rolling series of public-source, historically bounded 300-case decision-analysis reconstructions of major intelligence figures across six era-and-institutional clusters: British and proto-British intelligence from the Elizabethan period through early SIS; the American Revolutionary and early federal clandestine networks including the Culper Ring; Civil War intelligence on both sides; U.S. professionalization through ONI, FBI, and the cryptologic foundations; the COI–OSS–CIA–DNI lineage; and the KMT/CCP/PRC intelligence system from the 1920s to the present.
Each figure page reconstructs decision habits from public archival, institutional, and biographical sources using a 33-strategy, 300-case framework organized into situation families, prevalence rankings, and worked demonstrations. The framework is explicitly historical and analytic: it abstracts action patterns into questions about evidence, authority, judgment under uncertainty, source management, institutional constraint, and archival accountability — not an operational manual. All material is drawn exclusively from open-source intelligence (OSINT): archival records, declassified documents, published biographies, academic histories, and institutional publications. None of the data derives from classified sources. The series is rolling; new figures are added as reconstructions are completed.
Post-ASI and ET-Direct-Creation Disclosure: Theological Demand, Intelligence Formation, and New Operational Methods
A stress-scenario modeling note composed in the Euclidean manner — Definitions, Postulates, Propositions, and Demonstrations precede every claim; all propositions about post-threshold states are conditional on Year 1 (the year ASI capability is publicly confirmed and/or ET-direct-creation evidence becomes credible; assessed near 2028 per CFR Technology and Innovation working group, 2025–26). The Analysis of Competing Hypotheses protocol is applied to the central institutional question: what happens to Christian-faith-based intelligence formation — the CIA-type complex historically known as “Christians In Action” — when both shocks arrive simultaneously?
Critical caveat on timing: Year 1 (~2028) marks ASI capability, not practical longevity. ASI dramatically accelerates longevity research, but clinical-grade life extension lags ASI by approximately 10–20 years. The model captures this through L(t)'s sigmoid inflection at Year 1+18 (~2046): at Year 1 itself, L(0) ≈ 0.013 — longevity plausibility is negligible while ASI-driven research is underway. The primary stress on the Memento Mori control structure therefore materializes during Year 1+15 to Year 1+25 (~2043–2053). The cascade window for CIA-type formations opens at Year 1+9 ≈ 2037, driven initially by ASI institutional disruption and ET-credibility, not yet by longevity itself.
Two new model variables formalize the dynamics: Op(t), the operational method obsolescence function — reaching 0.795 (~80% of the traditional sacrifice-willingness and transcendent-mission toolkit non-functional for the ASI-accessible recruitable population) by 2053 — and Nu(t), the new method readiness function. The ACH matrix evaluates five competing hypotheses against eight evidence items: H1 (intact survival) accumulates three disconfirmations and is eliminated; H2 (collapse without replacement) accumulates five and is eliminated; H3, H4, and H5 each carry zero disconfirmations and are mutually compatible.
中華 & 華人 (Cross of the East & Crucesignati)
判十字以定四方 — To inscribe the cross and fix the four quarters
The term 中華 is the first two characters in both the Republic of China (中華民國) and the People’s Republic of China (中華人民共和國). Neither state coined it. It was assembled across four generations of private scholarship by the Changzhou School of Thought (常州學派), a lineage rooted in the Chuang (莊) clan — whose ancestral seat sits on the Silk Road at 天水 (“Heavenly Water”) and whose surname encodes, in Mandarin phonology, zhū (朱, the Ming royal surname) + wáng (王, king) — the two syllables merged into one: zhuāng / Wade-Giles Chuang = Chu + ang = 朱王 (Ming King).
The study reconstructs the full argument in eight sections: the cruciform geometry embedded in the character 華 and its convergence with the Jerusalem Cross (Pike, Morals and Dogma, Ch. 30); the 635 AD arrival of the Syriac Church of the East and the 781 AD Nestorian Stele; the Kaifeng Jewish community as a parallel Silk Road remnant (Levi, Judah, Benjamin — the three tribes that survived the Assyrian deportation of 721 BCE intact); the Hongmen / Tiandihui institutional transmission from the Ming restoration mission (反清復明) through the KMT to the founding of both successor states; the flag of the ROC as a three-tier encoding (朱紅色 / #E34234 — the flag’s specific red is literally named 朱, the Ming surname); the Lanfang Republic (蘭芳共和國, 1777–1884) as the first Chinese Kongsi republic — 107 years, West Borneo, ended by Dutch colonial suppression; and a geographic cross formed by U.S. territories across the Pacific (Alaska / Samoa / USVI / CNMI) centred on Hawaii, where Sun Yat-sen’s networks operated and the Lokelani heavenly rose blooms.
Concludes with two conditions defining 華人 (Crucesignati: those signed with the cross of the East) and a spiritual pathway from secular formation toward the vertical axis that 中 encodes — grounded in Thomas Aquinas’s Quinque Viae and the Great Architect of the Universe.
Protecting U.S. Scientific Cognition from AI-Enabled Replication Threats — A Three-Portion Framework
A three-part integrated framework addressing AI-driven scientific replication threats and law-bounded U.S. responses. Large language models (LLMs) and related systems are the primary vector examined. Portion I delineates PRC AI-assisted “scientific cloning”: centralized pipelines that learn from foreign research and redeploy results across dual-use vectors—with operational mechanics, translation pathways, and indicators for Western R&D exposure. Portion II outlines a law-bounded Manhattan-class architecture preserving U.S. scientific cognition under strict civil-liberties constraints, including opt-in Prospective Cognition & Tacit Pathways (PCTP), a Secure Compute Utility, and simulation-first Mirror Prototype Labs. Portion III provides the unified statutory backbone (CCSA), codifying lane separation, provenance-by-default ModelOps, and independent oversight with bright-line prohibitions.
Legal notice: educational planning concepts only. Any real-world activity requires explicit statutory authority, independent oversight, and compliance with U.S. constitutional, statutory, and international frameworks. Export-control regimes (ITAR/EAR/MTCR) may apply.
Artificial Superintelligence Architect — Logarchéon Core Architecture
The primary research output of Logarchéon: a mathematically rigorous proof that any scalable Artificial Superintelligence operating in the real world requires, at the architecture class level, three independent mechanisms — CEAS-class nonlocal coordination, Ψ-class causal operator inference, and GRAIL-class invariant geometric representation. The necessity claims are theorems, not assertions; each addresses an independent obstruction proved via graph theory, causal identifiability, and orbit coverage.
Materials include ~264 pages of graduate-seminar lecture notes (v18), a 94-cell Colab implementation (Tier-A v5), a 25-claim patent draft, and a complete ANI-vs-ASI certification checklist requiring triadic ablation and 20 closed-loop recursive self-improvement cycles. U.S. Provisional 64/067,703 filed; non-provisional in preparation. Portfolio: 9+ applications filed 2025 across ASI architecture, MIA, CEAS, operator-theoretic verification, and related methods.
NDA-gated technical brief and lecture notes available on request — founder@logarcheon.com
ANI vs. AGI vs. ASI — Formal Comparison
ANI (Artificial Narrow Intelligence) — systems restricted to bounded tasks, including every current large language model (LLM). AGI (Artificial General Intelligence) — broad competence across most cognitive task families at adult-human level. ASI (Artificial Superintelligence) — exceeds the best human across most major cognitive domains, with robust transfer to untrained task families. The distinction is architectural and mathematical, not about benchmark scores or parameter count.
Table derived directly from lecture notes v18, §§ checklist, concrete-scenarios, synthesis.
ANI solves tasks. An ASI seed improves the process that solves new task families.
A system can score at the highest human level on every standard benchmark and still be ANI if it succeeds only within its training distribution. The distinction is whether it can intervene causally, generalise over symmetry orbits, and improve its own architecture inside a verified closed loop with a falsifiable audit record. — Lecture notes v18, §checklist
- ✗Any LLM, however large, operating at observational-correlation-only causality
- ✗An agentic pipeline wrapping a correlation-based LLM in causal-sounding instructions
- ✗Advanced computing hardware without goals, world models, or causal agency
- ✗Superhuman performance in narrow domains only — ANI by definition
- ✗High benchmark scores with high scaffolding dependence — scaffolded performance is not autonomous intelligence
- ✗Claimed improvements not reproducible from logs, checkpoints, and pre-registered benchmarks
Mathematics
Hausdorff Dimension of Well-Distributed Schottky Groups
Geometry of ℍⁿ: Foundations, Group Actions, and Quotient Constructions
Critical Scaling in Hyperbolic Attention Mechanisms
MSIA — Modular Symbolic Intelligence Architecture: Keyed Geodesic Encryption from the Selberg Zeta Function
A post-quantum keyed encryption scheme built from the geodesic length spectrum of a Fuchsian/Kleinian group. The key is a set of Möbius generator matrices in SL(2, ℝ); encryption derives the cipher key from geodesic lengths via the Selberg trace formula; decryption requires recovering those lengths from the same generators. Security at the mathematical level rests on the length-spectrum inverse problem — recovering Γ from its geodesic spectrum — which is deeply open for Kleinian groups in ℍn, n ≥ 3, where Mostow rigidity guarantees uniqueness of the answer but no efficient algorithm is known. The demo is a faithful implementation of this geometric construction; because the formal hardness proofs (Lean 4 verification and cryptanalysis) are still in progress, it additionally derives its cipher key through SHA-512, so a guaranteed, well-understood security floor is in place today regardless of how the geometric hardness ultimately resolves. Treating the geometry itself as the trapdoor (Option B) is the open research direction.
Supports 2–6 generators (each adds ~97 bits of key space at High precision) and Standard / High precision modes. At High precision with g ≥ 3, the geodesic key space exceeds the 256-bit hash key, so the security floor is set by SHA-512 itself: under Grover’s algorithm that floor is 2128, the NIST quantum-safe bar — a guaranteed bound that holds even before the geometric hardness is proven. An optional AES-GCM outer wrap adds indistinguishability. Runs entirely in the browser via Python/WebAssembly (Pyodide) with a pure-JavaScript fallback using Web Crypto; works air-gapped once loaded. Cross-engine verified across all generator counts, both precision modes, and full Unicode (every script, emoji, and symbol round-trips). Alongside the hashed everyday tool, the working demo also implements the pure-algebraic construction directly — companion blocks of xℓ−1, block-diagonal assembly, diagonal-similarity disguise, and message recovery by solving the Vandermonde system from the power-trace vector — in three selectable variants (sparse trace-driven, distinct + Frobenius/Brauer with CCA2 authentication, and Schottky-group).
MSIA sits at the Selberg / automorphic level of a Langlands-based cryptographic hierarchy — above current NIST post-quantum standards (Module-LWE, ML-KEM) and below the full automorphic L-function level. The construction originated in the matrix identity det(I − zA)−1 = exp(Σ Tr(Am) zm / m), which translates simultaneously between symbolic dynamics, linear algebra, and spectral geometry. It anchors a two-track research program: an algebraic / discrete track climbing the Langlands hierarchy (Dessins → Artin L-functions → MSIA → automorphic → motivic) and a geometric / continuous track built on hyperbolic holography, the two connected through Kapustin–Witten S-duality. The geometric track’s forward identity is computable today — in thermal AdS3/BTZ it is literally the same Selberg product MSIA uses; in higher dimensions it is the numerically-computed boundary Green’s function.
This is one small worked example from a larger study of post-quantum cryptographic primitives rooted in the Langlands program and hyperbolic geometry. That study sits alongside Logarchéon’s primary research tracks in AI and Indo-Pacific lawfare.
Dennis Sullivan’s Work Algorithms — 300-Case Reconstruction of Topology, Dynamics, Conformal Geometry, and Field-Theoretic Reasoning
Sullivan’s corpus is read as a bridge-building practice across geometric topology, localization, rational homotopy, Kleinian groups, conformal dynamics, foliations, string topology, differential cohomology, fluids, and finite-difference models. Each paper, MIT-note unit, book chapter, seminar unit, or lecture topic is treated as evidence for a thesis/result abstraction and the strategies it appears to deploy.
The framework groups thirty-three strategies into six methodological systems: manifolds and homotopy; dynamics and foliations; conformal dynamics; string topology and field theory; fluids and computation; and program architecture. The 300-case corpus combines 146 official-publication cases with 154 lecture, seminar, book, and programme cases. The governing move is Sullivan-style bridge construction: identify the invariant, choose the right model or completion, move between topology and dynamics, and turn scattered phenomena into a reusable research programme.
GitHub Pages path: create sullivan/index.html and place the interactive page there.
Jean Bourgain’s Work Algorithms — 300-Case Reconstruction of Quantitative Analysis, PDE, Arithmetic Combinatorics, and Cross-Field Proof Architecture
Bourgain’s work is presented as a quantitative proof engine operating across papers, monographs, lecture series, and book-chapter style records. Each case is reduced to a lecture-level thesis/result abstraction and classified by overlapping strategy tags, so the prevalence percentages indicate case-frequency rather than a normalized probability distribution.
Thirty-three strategies are arranged into six methodological systems: Banach and convex geometry; harmonic analysis; PDE and Hamiltonian dynamics; arithmetic combinatorics; probability, computer science, and dynamics; and meta-method. The 300-case corpus emphasizes Bourgain’s recurring quantitative moves: isolate a finite-dimensional obstruction, localize frequency, discretize the continuum, prune resonances, force sum-product growth, build spectral gaps, and migrate a difficult problem into the mathematical ecosystem where its hidden structure becomes visible.
GitHub Pages path: create bourgain/index.html and place the interactive page there.
Alexander Grothendieck’s Work Algorithms — 300-Case Reconstruction of Schemes, Topoi, Cohomology, Arithmetic Geometry, and Program Architecture
Grothendieck’s public corpus is organized around the act of changing the arena in which a problem lives. Papers, EGA, SGA, FGA, course-note style sources, and later programmatic manuscripts are treated as lecture-level thesis/result abstractions rather than reproduced source text. Strategy tags are overlapping, so prevalence percentages report case frequency across the 300-case corpus.
The method is grouped into thirty-three strategies across six systems: functional analysis and linear structures; schemes and relative geometry; cohomology, topoi, and derived methods; arithmetic geometry; seminar and foundational architecture; and later programmes and meta-mathematics. The governing move is Grothendieck-style arena transformation: replace the problem by the right category, functor, topology, site, or universal property, then build the theorem as reusable infrastructure.
GitHub Pages path: create grothendieck/index.html and place the interactive page there.
Paul Erdős’s Work Algorithms — 300-Case Reconstruction of Probabilistic Method, Extremal Combinatorics, Number Theory, and Problem-First Collaboration
Erdős’s mathematics is treated as problem-first compression: reduce a question to a sharp density, divisibility, coloring, random-model, or forbidden-configuration threshold, then state it in a form that can recruit the widest possible collaborative attack surface. The source base spans papers, book chapters, problem papers, and collaborative publications, each rendered as a lecture-level thesis/result abstraction rather than reproduced source text.
The framework collects thirty-three strategies into seven methodological systems: elementary number-theoretic reduction; probabilistic existence; extremal graph and set-system thresholds; additive and combinatorial number theory; problem-first collaboration; infinite combinatorics and set theory; and discrete geometry. Prevalence percentages report case-frequency across the 300-case corpus rather than a normalized probability distribution.
GitHub Pages path: create erdoes/index.html and place the interactive page there.
Lester R. Ford’s Work Algorithms — 300-Case Reconstruction of Automorphic Functions, Ford Circles, Rational Approximation, Differential Equations, Applied Computation, and Mathematical Exposition
Ford’s body of work is used to study how arithmetic, geometry, analysis, computation, and exposition become operational. The corpus ranges across automorphic functions, Ford circles, rational approximation, complex-integer approximation, differential equations, applied military computation, calculus pedagogy, and editorial exposition, with papers, book chapters, textbook sections, training modules, and expository units treated as cases.
Thirty-three strategies are grouped into six methodological systems: transformations and circle geometry; automorphic and uniformization methods; approximation and arithmetic geometry; differential equations; applied computation and calculus pedagogy; and editorial/expository architecture. The governing move is Ford-style operational compression: normalize by a transformation, turn arithmetic into geometry where possible, reduce analysis to a teachable calculation, and make the result usable through clear exposition.
GitHub Pages path: create ford/index.html and place the interactive page there.
Henri Poincaré’s Work Algorithms — 300-Case Reconstruction of Topology, Dynamics, Celestial Mechanics, Automorphic Functions, Physics, and Philosophy of Science
Poincaré’s scientific method is presented as structural conversion: when explicit solution is out of reach, replace it by an invariant, group, phase portrait, topology, asymptotic scheme, or principle. The corpus ranges across Fuchsian and automorphic functions, qualitative differential equations, celestial mechanics, topology, mathematical physics, electrodynamics, probability, and philosophy of science.
The 300-case set treats papers, book chapters, reports, lectures, and section-style units as comparable methodological objects. Thirty-three strategies are arranged into six systems: invariance and scientific principles; differential equations and qualitative dynamics; topology and geometry; functions and arithmetic; celestial mechanics and physics; and method, philosophy, and exposition. The resulting structure is designed to show how Poincaré unified mathematics, physics, and scientific method through reusable forms rather than isolated calculations.
GitHub Pages path: create poincare/index.html and place the interactive page there.
Leonardo da Vinci’s Work Algorithms — 300-Case Reconstruction of Painting, Anatomy, Mechanics, Hydraulics, Geometry, Codices, and Notebooks
Leonardo’s notebooks are treated as a laboratory of visual reasoning in which art, anatomy, mechanics, water, optics, geometry, flight, geology, and manuscript transmission continually exchange methods. Codex folios, treatise sections, notebook clusters, and manuscript themes become lecture-style thesis/result units rather than reproduced source text.
Thirty-three strategies are arranged into six systems: observation and experiment; painting and perception; mechanics and engineering; geometry and proportion; nature, body, and systems; and manuscript, patronage, and transmission. The governing move is Leonardo-style diagrammatic transfer: observe, draw, vary, section, mechanize, and recombine until art, science, craft, body, water, machine, and codex become one reusable research laboratory.
GitHub Pages path: create leonardo_da_vinci/index.html and place the interactive page there.
Euclid’s Work Algorithms — 300-Case Reconstruction of Axiomatic Geometry, Construction, Ratio Theory, Number Theory, and Deductive Architecture
Euclid’s corpus is organized as a deductive machine: begin with definitions, postulates, and common notions; turn existence into a permitted construction; let the diagram record the proof state; insert auxiliary lines, parallels, perpendiculars, circles, ratio transformations, or common-measure reductions; and then close the proposition using only the accepted dependency chain. The reconstruction follows this method through the thirteen books of the Elements, including plane construction, circle theory, geometric algebra, Eudoxian proportion, similarity, number theory, incommensurability, exhaustion, solid geometry, and the regular solids.
The interactive reference contains thirty-three reconstructed strategies, a 300-case proposition/chapter/fragment corpus, an overlapping prevalence model, a source spine, and worked reconstruction routes. It also includes Data, Optics, Phaenomena, On Divisions of Figures, and cautiously attributed or lost Euclidean materials, treating them as methodological evidence rather than modern publication counts.
GitHub Pages path: create euclid/index.html and place the interactive page there.
Leonhard Euler’s Work Algorithms — 300-Case Reconstruction of Analysis, Number Theory, Mechanics, Astronomy, Geometry, and Notation-as-Machine
Euler’s work is organized as a symbolic production system: translate a problem into series, products, continued fractions, differential equations, generating functions, tables, or mechanical balance laws; manipulate the expression until the governing pattern becomes visible; and then export the same method across arithmetic, analysis, mechanics, astronomy, geometry, and physical science. The page follows this method through the Euler Archive / Eneström-style corpus, the Introductio, differential and integral calculus treatises, number-theoretic memoirs, mechanics, celestial perturbation theory, graph and polyhedral problems, correspondence, and posthumous writings.
The interactive reference contains thirty-three reconstructed strategies, a 300-case lecture-style corpus, overlapping prevalence histograms, a source-spine section, and worked demonstrations. It treats papers, book chapters, memoirs, tables, correspondence, and posthumous units as methodological cases rather than reproduced source texts, emphasizing Euler’s distinctive habit of making notation, formal manipulation, and computation operate as reusable mathematical machinery.
GitHub Pages path: create euler/index.html and place the interactive page there.
Carl Friedrich Gauss’s Work Algorithms — 300-Case Reconstruction of Number Theory, Least Squares, Geodesy, Curvature, Potential Theory, Astronomy, and Scientific Method
Gauss’s corpus is treated as a study in exact compression: compute with extraordinary precision, extract the invariant structure, suppress disposable scaffolding, and publish the result in crystalline theorem-proof form. The source base spans congruence arithmetic, quadratic reciprocity, binary forms, cyclotomy, orbit determination, least squares, probability, geodesy, intrinsic curvature, potential theory, magnetism, algebra, complex methods, tables, correspondence, and Nachlass material.
The 300-case corpus treats papers, treatise sections, reports, private-note clusters, and computational tables as comparable methodological objects. Thirty-three strategies are arranged into six systems: arithmetic and congruence; algebra, analysis, and functions; geometry and measurement; astronomy, statistics, and computation; physics, geodesy, and fields; and style, architecture, and scientific method.
GitHub Pages path: create gauss/index.html and place the interactive page there.
Bernhard Riemann’s Work Algorithms — 300-Case Reconstruction of Complex Function Theory, Riemann Surfaces, Zeta, Geometry, Fourier Analysis, Special Functions, and Mathematical Physics
Riemann’s work is presented as concept formation at the boundary between local obstruction and global object. The corpus spans complex function theory, analytic continuation, Riemann surfaces, Abelian and theta functions, Fourier series, zeta and prime counting, Riemannian geometry, hypergeometric functions, PDE, mathematical physics, and Nachlass fragments.
Papers, lectures, Habilitation texts, correspondence items, fragments, and section-style reconstructions are treated as comparable 300-case methodological units. The governing move is Riemann-style concept creation: convert a hard local obstruction into a new global object—surface, manifold, period matrix, zeta function, metric, or PDE structure—whose invariants then generate an entire future field.
GitHub Pages path: create riemann/index.html and place the interactive page there.
Shing-Tung Yau’s Work Algorithms — 300-Case Reconstruction of Geometric Analysis, Calabi-Yau Geometry, and the Global PDE Method
Yau’s work is approached as a global geometric-analysis engine: identify a geometric obstruction, encode it as nonlinear elliptic or parabolic PDE, build the a priori estimate ladder, and recover topology, canonical metrics, rigidity, mass positivity, moduli structure, or physical meaning from the analytic output. The page reconstructs this method across Calabi’s conjecture, complex Monge–Ampère equations, minimal surfaces, positive mass, harmonic maps, heat-kernel estimates, Hermitian–Yang–Mills theory, graph geometry, mirror symmetry, and mathematical physics.
The interactive reference contains a thirty-three-strategy decision tree, overlapping case-prevalence histograms, a 300-case bibliographic corpus, a source-spine section, and worked demonstrations. It is written as a derived methodological model rather than a reproduction of copyrighted papers: titles and bibliographic families provide the spine, while the thesis summaries and strategy assignments are interpretive.
GitHub Pages path: create yau/index.html and place the interactive page there.
Serge Lang’s Work Algorithms — 300-Case Reconstruction of Algebra, Diophantine Geometry, Exposition, and Public Dossier Method
Lang’s corpus is treated as a theorem-building and exposition engine: begin from a mathematical object, identify the controlling structure, route the problem through maps, exact sequences, heights, local-global tests, function-field analogies, or analytic continuation, and then rewrite the result with unusually clean definitions, notation, examples, exercises, and theorem-proof discipline. The page follows this method across algebra, algebraic geometry, abelian varieties, class field theory, Diophantine approximation, elliptic curves, modular forms, Arakelov theory, Nevanlinna theory, heat-kernel analysis, and graduate-textbook architecture.
The interactive reference contains a thirty-three-strategy decision tree, a 300-case table drawn from research papers, textbooks, book chapters, expository works, and public critical dossiers, plus overlapping prevalence rankings and worked demonstrations. It is framed as a bibliographic reconstruction rather than a full-text edition: the source spine supplies titles and domains, while the thesis summaries and strategy paths are interpretive.
GitHub Pages path: create lang/index.html and place the interactive page there.
Walter Rudin’s Work Algorithms — 300-Case Reconstruction of Analysis, Harmonic Analysis, Function Algebras, and Several Complex Variables
Rudin’s work is read as an extreme compression discipline for analysis: isolate the decisive definition, choose the topology or function space that makes the theorem sharp, extract compactness or duality, and then express the argument in a theorem-proof unit with minimal ornament. The page follows this method across real and complex analysis, Fourier analysis on groups, Banach and measure algebras, weak topologies, spectral theory, Hardy spaces, polydisc function theory, unit-ball automorphisms, polynomial hulls, peak sets, and counterexample construction.
The interactive reference contains thirty-three reconstructed strategies, a 300-case corpus built from papers, textbook chapters, monograph sections, lectures, and expository units, plus overlapping prevalence rankings and worked demonstrations. It is designed as a bibliographic and pedagogical model: source titles and mathematical domains supply the spine, while the thesis summaries and strategy assignments are interpretive.
GitHub Pages path: create rudin/index.html and place the interactive page there.
Lars Ahlfors’s Work Algorithms — 300-Case Reconstruction of Complex Analysis, Riemann Surfaces, Quasiconformal Mapping, and Kleinian Groups
Ahlfors’s work is presented as a conformal-geometry decision system: reduce an analytic question to the invariant that survives coordinate change, move local function theory onto Riemann surfaces or covering surfaces, use extremal length, capacity, area, or hyperbolic metrics to make estimates sharp, and then encode deformation by Beltrami coefficients, Teichmüller extremals, boundary correspondence, or Kleinian group action. The reconstruction follows this method across meromorphic functions, value distribution, Schwarz-type principles, Dirichlet methods, normal differentials, conformal invariants, quasiconformal maps, Teichmüller spaces, Möbius transformations, and hyperbolic geometry.
The interactive reference contains thirty-three reconstructed strategies, a 300-case corpus built from collected papers, books, lectures, and chapter-level units, plus overlapping prevalence rankings and worked demonstrations. It is designed as a bibliographic reconstruction rather than a full-text edition: public titles and mathematical domains provide the source spine, while the thesis summaries and strategy paths are interpretive.
GitHub Pages path: create ahlfors/index.html and place the interactive page there.
Elias M. Stein’s Work Algorithms — 300-Case Reconstruction of Harmonic Analysis, Singular Integrals, Hardy Spaces, and Oscillatory Methods
Stein’s work is organized as an estimate-building architecture: choose the correct ambient geometry, identify the controlling operator, dominate by maximal functions or square functions, exploit kernel cancellation, interpolate endpoint estimates, and transfer the result through Fourier, group, boundary, nilpotent, Radon-transform, or oscillatory models. The reconstruction spans Calderón–Zygmund theory, Hardy spaces, BMO, singular integrals, the Heisenberg group, pseudodifferential operators, several complex variables, Radon transforms, ergodic transference, discrete harmonic analysis, and the Princeton Lectures in Analysis.
The interactive page contains thirty-three reconstructed strategies, overlapping prevalence histograms, a 300-case corpus, a source spine, and worked examples. Its corpus combines research-bibliography entries with book, chapter, and lecture-style units; the result is a structured map of Stein’s mathematical workflow rather than a reproduction of papers or a claim about private cognition.
GitHub Pages path: create stein/index.html and place the interactive page there.
John H. Conway’s Work Algorithms — 300-Case Reconstruction of Games, Surreal Numbers, Finite Groups, Lattices, Codes, Symmetry, and Playful Exposition
Conway’s work is presented as a game-and-symmetry discovery engine: invent a small playable universe, compute its examples until an invariant appears, compress the invariant into notation, and then promote the resulting grammar into a theorem, table, classification, algorithm, or research program. The reconstruction follows this pattern through combinatorial game theory, nimbers, surreal numbers, finite simple groups, the Monster and moonshine, the Leech lattice, sphere packings, error-correcting codes, quadratic forms, tilings, orbifold notation, quantum paradox configurations, and mathematical exposition.
The interactive page contains thirty-three overlapping strategies, a 300-case corpus, prevalence histograms, a source spine, and worked demonstrations. It treats articles, book chapters, lecture-style units, and public bibliographic records as methodological cases, emphasizing Conway’s habit of turning playful computation into durable mathematical structure.
GitHub Pages path: create conway/index.html and place the interactive page there.
Donald E. Knuth’s Work Algorithms — Deep 300-Case Reconstruction of Algorithm Analysis, TAOCP, Literate Programming, TeX, METAFONT, Combinatorics, and Long-Horizon Publication Systems
Knuth’s work is presented as a full-stack algorithmic authorship system: choose a representation, make the machine model explicit, trace concrete instances, extract invariants, compute exact and asymptotic costs, and then bind proof, program, typography, exercises, bibliography, and errata into one durable artifact. The reconstruction follows this method through The Art of Computer Programming, MIX and MMIX, random number generation, sorting and searching, data structures, recurrence extraction, generating functions, combinatorial generation, grammar and parsing, literate programming, TeX, METAFONT, typography, mathematical writing, and long-horizon revision practice.
The interactive page contains thirty-three deep strategies, a 300-case corpus, overlapping prevalence rankings, a decision tree, source-control layers, and worked demonstrations. It treats algorithms, books, programs, exercises, notation, traces, errata, and publication systems as evidence for Knuth’s method rather than as isolated outputs.
GitHub Pages path: create knuth/index.html and place the interactive page there.
Rufus Bowen’s Work Algorithms — 300-Case Reconstruction of Axiom A Dynamics, Markov Partitions, Entropy, Gibbs Measures, Hyperbolic Flows, and Dimension Theory
Bowen’s work is read through the central act of symbolic reduction: localize a hyperbolic object, build rectangles, code by a finite shift, prove thermodynamic or counting statements symbolically, and push the invariant back to the smooth system. The corpus covers hyperbolic dynamics, Markov partitions, symbolic dynamics, topological entropy, periodic-orbit counting, equilibrium states, Gibbs measures, Axiom A flows, interval maps, quasi-circle dimension theory, and expository synthesis.
Thirty-six strategies are grouped into six systems: hyperbolic coding and Markov partitions; entropy, pressure, and counting; measures and equilibrium states; Axiom A geometry; flows and physical models; and program architecture. Papers, monographs, CBMS notes, theorem modules, proof modules, and chapter-style units are treated as 300 reconstructed case-units rather than reproduced source text.
GitHub Pages path: create bowen/index.html and place the interactive page there.
Michael Atiyah’s Work Algorithms — Deep 300-Case Reconstruction of K-Theory, Index Theory, Gauge Theory, and Mathematics–Physics Bridges
A deep 300-case reconstruction of Atiyah’s method across vector bundles, K-theory, Bott periodicity, the Atiyah–Singer index theorem, equivariant localization, elliptic operators, gauge theory, instantons, monopoles, twistor geometry, topological quantum field theory, knots, and mathematics–physics synthesis.
The page treats each case as a methodological lecture: object, invariant, translation bridge, computation, theorem artifact, and source lineage. Its central workflow is Atiyah-style translation—turn geometry into topology, topology into analysis, analysis into index formulas, and index formulas back into geometry or physics.
GitHub Pages path: create atiyah/index.html and place the interactive page there.
Simon K. Donaldson’s Work Algorithms — 300-Case Reconstruction of Gauge Theory, Four-Manifold Topology, Moduli Spaces, and Kähler Geometry
A Logarchéon-style reconstruction of Donaldson’s working method across gauge theory, four-manifold topology, moduli spaces, symplectic geometry, Kähler metrics, K-stability, and exceptional holonomy.
The reference frames Donaldson’s corpus as a theorem-producing engine: translate geometric questions into moduli problems, extract analytic compactness and transversality, build invariants, and return those invariants to topology, algebraic geometry, and mathematical physics.
GitHub Pages path: create donaldson/index.html and place the interactive page there.
Mikhail Gromov’s Work Algorithms — Deep 300-Case Reconstruction of Metric Geometry, h-Principle, Geometric Group Theory, and Symplectic Topology
A deep 300-case reconstruction of Gromov’s mathematical workflow across metric geometry, Gromov–Hausdorff convergence, collapse, h-principle, partial differential relations, hyperbolic groups, symplectic topology, pseudoholomorphic curves, filling and systolic inequalities, scalar curvature, concentration of measure, random groups, and biological or symbolic structures.
Each case is treated as a methodological lecture: object, invariant, category shift, compactness or flexibility principle, obstruction, and field-making artifact. The governing move is Gromov-style change of scale and category: replace rigid local data by metric, coarse, flexible, or asymptotic structure until the hidden invariant becomes visible.
GitHub Pages path: create gromov/index.html and place the interactive page there.
Maxim Kontsevich’s Work Algorithms — 300-Case Study Reconstruction of Moduli, Mirror Symmetry, Formality, Quantization, and Wall Crossing
A 300-case study reconstruction of Kontsevich’s work algorithms across moduli spaces, mirror symmetry, deformation quantization, formality, operads, motives, Donaldson–Thomas theory, and wall crossing.
The page treats Kontsevich’s method as a bridge architecture: identify the correct categorical or homological language, encode geometry into algebraic or combinatorial structures, and move through deformation, quantization, and wall-crossing mechanisms until multiple mathematical worlds become equivalent.
GitHub Pages path: create kontsevich/index.html and place the interactive page there.
Louis J. Mordell’s Work Algorithms — 300-Case Reconstruction of Diophantine Equations, Elliptic Curves, Forms, and Arithmetic Problem Culture
A Logarchéon-style reconstruction of Mordell’s work algorithms across Diophantine equations, elliptic curves, the finite basis theorem, forms, modular identities, and arithmetic problem culture.
The project presents Mordell’s method as arithmetic reduction under constraint: isolate the integer or rational obstruction, transform the equation into a more governable form, exploit descent or congruence structure, and turn difficult examples into durable problem families.
GitHub Pages path: create mordell/index.html and place the interactive page there.
John Milnor’s Work Algorithms — Deep 300-Case Reconstruction of Differential Topology, Exotic Spheres, Singularities, K-Theory, and Dynamics
A deep 300-case reconstruction of Milnor’s method across differential topology, exotic spheres, cobordism, characteristic classes, singularities, algebraic K-theory, knot and 3-manifold topology, real and complex dynamics, and mathematical exposition.
Each row is treated as a methodological lecture case: object, category, invariant, decisive construction, proof mechanism, and source lineage. The recurring workflow is Milnor-style exact example building: find the smallest object that exposes the topology, compute the invariant cleanly, and convert the example into a general method.
GitHub Pages path: create milnor/index.html and place the interactive page there.
Curtis T. McMullen’s Work Algorithms — Deep 300-Case Reconstruction of Dynamics, Teichmüller Theory, Hyperbolic 3-Manifolds, and Moduli Spaces
A deep 300-case reconstruction of McMullen’s method across complex dynamics, quasiconformal surgery, renormalization, Teichmüller theory, hyperbolic 3-manifolds, Kleinian groups, K3 surfaces, Salem numbers, billiards, translation surfaces, Hilbert modular surfaces, triangle groups, and moduli-space dynamics.
Each case is treated as a methodological lecture: object, deformation language, invariant, computation, transfer principle, and theorem form. The page emphasizes McMullen’s capacity to move between dynamics, geometry, arithmetic, and moduli through explicit deformation and invariant calculation.
GitHub Pages path: create mcmullen/index.html and place the interactive page there.
Alain Connes’s Work Algorithms — Deep 300-Case Reconstruction of Operator Algebras, Noncommutative Geometry, Cyclic Cohomology, and Spectral Triples
A deep 300-case reconstruction of Connes’s method across operator algebras, type III factors, modular theory, noncommutative geometry, cyclic cohomology, spectral triples, foliations, groupoids, local index theory, the spectral action, renormalization, quantum theory, the adele class space, the scaling site, and absolute geometry.
Each case is treated as a methodological lecture: singular space, algebraic replacement, operator representation, invariant, pairing, local formula, and conceptual return. The central move is Connes-style noncommutative replacement: when the quotient or space breaks, replace it by an algebra and recover geometry spectrally.
GitHub Pages path: create connes/index.html and place the interactive page there.
Pierre Deligne’s Work Algorithms — 300-Case Reconstruction of Arithmetic Geometry, Weights, Hodge Theory, Perverse Sheaves, Motives, and Monodromy
A Logarchéon-style reconstruction of Deligne’s work algorithms across arithmetic geometry, Weil conjectures, weights, Hodge theory, perverse sheaves, motives, monodromy, Shimura varieties, and representation theory.
The page presents Deligne’s method as a precision architecture: isolate the correct cohomological category, impose weights or filtrations, control monodromy, and turn a conjectural geometric or arithmetic pattern into a stable theorem with functorial reach.
GitHub Pages path: create deligne/index.html and place the interactive page there.
Atle Selberg’s Work Algorithms — 300-Case Reconstruction of Analytic Number Theory, Sieve Methods, Zeta Functions, Automorphic Forms, Trace Formulas, and Spectral Geometry
A Logarchéon-style reconstruction of Selberg’s work algorithms across analytic number theory, sieve methods, zeta functions, automorphic forms, trace formulas, and spectral geometry.
The reference organizes Selberg’s method around analytic isolation and spectral counting: build the right test function or identity, separate main term from error, encode arithmetic through spectra or automorphic data, and obtain estimates or formulas strong enough to change the shape of the problem.
GitHub Pages path: create selberg/index.html and place the interactive page there.
John Tate’s Work Algorithms — Preview-Safe 300-Case Reconstruction of Adèles, Class Field Theory, Cohomology, Duality, and Arithmetic Geometry
A preview-safe 300-case reconstruction of John Torrence Tate’s mathematical method across adèles and idèles, Tate’s thesis, Hecke L-functions, class field theory, Galois cohomology, Tate duality, abelian varieties, Tate modules, heights, elliptic curves, Lubin–Tate formal groups, rigid analytic spaces, Hodge–Tate theory, p-divisible groups, the Tate conjecture, and arithmetic-geometric correspondence culture.
The page treats Tate’s work as a discipline of reformulation: move the problem to its natural carrier space, normalize local data precisely, encode the structure functorially, and then let duality, cohomology, representation, or analytic transform produce the theorem. It is written as a preview-safe reference with no external JavaScript requirement for core content.
GitHub Pages path: create tate/index.html and place the interactive page there.
William P. Thurston’s Work Algorithms — Deep 300-Case Reconstruction of Geometrization, Hyperbolic 3-Manifolds, Laminations, Dynamics, and Proof Culture
A deep 300-case reconstruction of Thurston’s mathematical method across geometrization, hyperbolic 3-manifolds, foliations, measured laminations, surface dynamics, Kleinian groups, orbifolds, rational maps, visualization, computation, education, and the philosophy of proof.
The page treats each source unit as a methodological lecture: visible object, geometric language, invariant, deformation space, obstruction, proof route, and propagation channel. The governing workflow is Thurston-style visible structure: start with a manipulable object, translate topology into geometry or dynamics, locate the obstruction, and propagate the idea through examples, pictures, notes, and questions.
GitHub Pages path: create thurston/index.html and place the interactive page there.
Isadore Singer’s Work Algorithms — Deep 300-Case Reconstruction of Index Theory, Holonomy, Spectral Geometry, Gauge Theory, and Mathematical Physics
A deep 300-case reconstruction of Singer’s method across holonomy, connections, elliptic operators, the Atiyah–Singer index theorem, K-theory symbols, Dirac operators, heat-kernel localization, eta invariants, analytic torsion, gauge theory, operator algebras, and bridges between analysis, geometry, topology, and theoretical physics.
The page reads Singer’s work as a pipeline from object to operator, connection, or spectrum; then from invariant to translation, proof mechanism, and bridge theorem. The GitHub Pages route is /isadore/, matching the spelling of Isadore Singer.
GitHub Pages path: create isadore/index.html and place the interactive page there.
Ramanujan’s Work Algorithms — Exhaustive Reconstruction and Worldwide Frontier Extension
An interactive reconstruction of Srinivasa Ramanujan’s working methods as thirty-three explicit strategies: a decision tree for how he appears to have moved from numerical pattern, hypergeometric identity, q-series product, partition generating function, continued fraction, modular transformation, elliptic integral, divergent series, or arithmetic table to a publishable mathematical claim. The reconstruction is methodologically restricted to mathematics available before 1920. Later theories—including modern mock-theta completions, post-Hecke modular-form formalism, later bijective proofs, and Deligne’s proof of the Ramanujan conjecture—are used only as comparison points, not as explanatory tools for Ramanujan’s original discovery process.
The same page extends the reconstruction into a modern approximation-methods atlas organised into twenty branches, from oscillatory and Laplace-type integrals, exponential sums, additive number theory, sieve methods, spectral and trace formulae, special-function asymptotics, random matrix theory, resurgence, additive combinatorics, motivic periods, and Teichmüller dynamics to modern real analysis, measure theory, functional analysis, Fourier and harmonic analysis, distributions, complex analysis, PDE, and stochastic calculus. Each branch is presented as a practical question-asking tree: what structure should be tested, which transformation or limiting theorem applies, what computation reduces the problem, and what verification step confirms the result. The aim is not merely to catalogue formulae, but to make Ramanujan-style discovery reproducible as a disciplined research workflow for contemporary mathematics.
Teichmüller Dynamics, Prime Geodesic Theorem, and Higher Representations
Wu–Xue (2022) establish a genus-large Prime Geodesic Theorem for random hyperbolic surfaces: for a Weil–Petersson generic surface of genus g, the error term ErX(t) in πX(t) = Li(t) + ErX(t) is bounded above by g · t3/4+ε, confirming the Lipnowski–Wright conjecture that geodesics of length ≫√g are generically non-simple. The proof uses Mirzakhani’s Weil–Petersson volume recursion and new effective bounds on intersection numbers on ℳg,n. The analogous threshold √g separating simple from non-simple geodesics is the large-genus analogue of the Selberg 3/4 conjecture (the “Riemann Hypothesis for hyperbolic surfaces”).
Pollicott–Sharp (2012), extending Sambarino, lift the classical Prime Geodesic Theorem from PSL(2,ℝ) representations to the full Hitchin component Rep(π1(S), PSL(n,ℝ)), using the Anosov property of Hitchin representations (Labourie) and thermodynamic formalism. This is a concrete instance of the geometric Langlands programme: the Hitchin component parametrises opers on the surface, and the spectral curve governs the counting. Mirzakhani’s orbit-counting programme (simple closed curves, flat surfaces) was completed by Eskin–Mirzakhani–Mohammadi: every SL(2,ℝ) orbit closure in a stratum of Abelian differentials is an affine invariant submanifold, the Teichmüller analogue of Ratner’s theorem.
Periods, Motives, and Arithmetic Quantum Field Theory — the Langlands Frontier
Brown’s “cosmic Galois group” (IHES–SMF 2016) identifies Feynman amplitudes as periods of mixed Tate motives over ℤ. The motivic Galois group — a pro-algebraic group acting on the algebra of such periods by coaction Δ(I) = Σ I′ ⊗ I′′ — organises all linear relations among Feynman integrals and imposes an arithmetic Galois symmetry on scattering amplitudes. At four and higher loops in QED, Feynman integrals exceed the polylogarithmic world: the leading non-polylogarithm in a4 is a Bessel moment B = −∫0∞ I0(x)K0(x)5 dx · (polynomial), and Broadhurst–Roberts (2018) establish an infinite family of quadratic relations between such non-polylogarithmic integrals at all loop orders L > 2, arising from the de Rham cohomology of elliptic curves over ℚ. The resulting QED perturbation series is a trans-series — formally divergent by Dyson’s 1952 instability argument, Borel-resummable, with non-perturbative corrections of order e−1/α. Fan, Myers, Sukra, and Gabrielse (2022) measure g/2 to 0.13 parts per trillion, the most precisely tested prediction of the Standard Model.
Brown (CERN–Elliptics 2020) proposes mixed L-functions via iterated Mellin transforms, extending the Beilinson–Deligne conjectural programme from pure to mixed motives, with special values capturing period integrals arising from modular graph functions and multiple elliptic polylogarithms. This sits at the intersection of the geometric Langlands programme and string theory: the α′ expansion of genus-one string amplitudes produces exactly the periods Brown studies. The Harvard CMSA Arithmetic Quantum Field Theory programme (Ben-Zvi, Friedberg, Paquette, Williams; Feb–Mar 2024) makes the connection explicit: partition functions ZM of topological field theories on arithmetic 3-manifolds correspond to automorphic L-functions L(π, s) via the geometric Langlands correspondence, placing QFT amplitudes squarely inside the Langlands programme. Dyson’s “Birds and Frogs” (AMS Notices 2009) provides the meta-framework: Ramanujan’s computations are paradigmatic “frog” work; the Langlands correspondence is the “bird”’s unifying vision.
Supplementary notes — Schottky groups and hyperbolic dynamics
- One-Step Thermodynamic Formalism
- Thermodynamic Formalism and Patterson–Sullivan Theory
- Asymptotic Behavior of Orbits in the Poincaré Disk
- Hyperbolic Flows and Isometry Prediction via Differential Equations
- Linking PSL(2,ℝ) to Geodesic Flow via One-Parameter Subgroups
- One-Parameter Subgroups
- Uniform Escape Rates in the Poincaré Disk
- On the Necessity of the Weaker Definition of Local Homeomorphism
- Simple Geodesics on Hyperbolic Surfaces: Theory and Applications
Modular representation theory notes (Prof. Lux seminar)
- Modular Representation Theory: Notes and Expansions
- Modular Representation Theory in Physical Systems
- Modular Representation Theory and Physics
- Modular Representations and Algorithmic Approaches: From First Principles to Advanced Theory
- Semisimple Algebras, Minimal Ideals, and Centralizer Duality
- Rickard Equivalences and Broué’s Conjecture
- Full list → What I Learned Today
Physics & Mathematical Physics
Physics-oriented work-algorithm references have been separated from the mathematics section so the sidebar distinguishes mathematical method from physical, field-theoretic, experimental, and mathematical-physics reasoning.
Galileo Galilei’s Work Algorithms — 300-Case Reconstruction of Telescopic Observation, Mathematical Mechanics, Instrument Design, Scientific Rhetoric, and Experimental Method
Galileo’s work is reconstructed as an instrument-and-demonstration engine: extend perception with a device; repeat observations until anomaly becomes pattern; translate appearances into geometry; slow motion until it can be measured; separate ideal law from resistance; and then recast the result as diagram, ratio, experiment, letter, dialogue, or public demonstration. The page follows this method through hydrostatics, centers of gravity, the geometrical and military compass, telescopic lunar and Jovian observations, sunspots, floating-body controversies, the comet dispute, world-system comparison, relativity of motion, projectile trajectories, strength of materials, and the late synthesis of the Two New Sciences.
The interactive reference contains thirty-three reconstructed strategies, a 300-case chapter/letter/manuscript/demonstration corpus, overlapping prevalence histograms, a source spine, and worked reconstruction routes. Its emphasis is not modernized Newtonian physics, but Galileo’s own repeatable workflow: instrument, observation, ratio, idealization, Euclidean proof, controversy management, vernacular exposition, and censorship-aware staging.
GitHub Pages path: create galilei/index.html and place the interactive page there.
Isaac Newton’s Work Algorithms — 300-Case Reconstruction of Mechanics, Optics, Fluxions, Algebra, Astronomy, and Manuscript Method
Newton’s writings are approached as a discipline of proof-building: stabilize phenomena, filter hypotheses, construct the diagram or table, pass to ultimate ratios, and cascade propositions into a system of the world. The corpus draws from the Principia, Opticks, mathematical papers, algebraic lectures, correspondence, and administrative manuscripts.
Thirty-three strategies are grouped into six methodological systems: phenomena and rules; fluxions and series; mechanics and orbits; optics and experiment; algebra and curves; and manuscript/exposition. Printed books, papers, letters, drafts, notebook topics, and manuscript sections are treated as lecture-style thesis/result units rather than reproduced source text, with the emphasis on how local demonstrations become a coherent mathematical physics.
GitHub Pages path: create newton/index.html and place the interactive page there.
Einstein’s Work Algorithms — 300-Case Reconstruction of Principle, Invariance, Geometry, and Physical Reality
Einstein’s papers, lectures, essays, and archival bibliographies are treated here as a sequence of methodological problems: a physical concept, anomaly, or foundation question; the central result; and the route by which the problem is forced into mathematical form. The guiding test is characteristically Einsteinian: what must remain invariant, measurable, locally real, or coordinate-independent for the theory to be physically meaningful?
Thirty-three strategies are grouped into six methodological systems: empirical tensions; principle and invariance; statistical and quantum reasoning; geometry and gravitation; fields and unification; and foundations and exposition. The 300-case corpus spans the 1901–1955 source window, including molecular-statistical work, Brownian motion, light quanta, special relativity, equivalence-principle reasoning, tensor gravitation, the Einstein field equations, gravitational waves, cosmology, Bose–Einstein statistics, EPR-style completeness arguments, and late unified-field programs. The aim is not biography, but a reusable research workflow for moving from conceptual contradiction to principled mathematical structure.
GitHub Pages path: create einstein/index.html and place the interactive page there.
Feynman’s Work Algorithms — Expanded 300-Case Reconstruction of Derivation, Physical Intuition, and Quantum-Amplitude Reasoning
Feynman’s public corpus is approached from the level of practice: how a phenomenon becomes an experiment, an observable, a dimensional check, a limiting case, a field law, a symmetry argument, or an amplitude rule. The source base includes the Feynman Lectures on Physics, major books, the Nobel lecture, selected scientific papers, gravitation lectures, computation lectures, and late strong-interaction lectures.
The material is organized into thirty-three strategies across six methodological systems: experimental imagination; symmetry and invariance; fields and continuum reasoning; waves and linear systems; statistical reasoning; and quantum-amplitude machinery. The 300-case corpus includes all 115 chapters of the Feynman Lectures and expands into QED, path integrals, statistical mechanics, gravitation, computation, and public lectures on physical law. The governing aim is not biographical imitation, but reusable physics reasoning: convert a phenomenon into an apparatus, invariant, field, mode, probability distribution, or amplitude rule.
GitHub Pages path: create feynman/index.html and place the interactive page there.
Landau’s Work Algorithms — Theoretical Minimum Reconstruction of Variational, Symmetry, Scaling, and Continuum Reasoning
The Landau-school method is extracted from the Landau–Lifshitz Course of Theoretical Physics and the theoretical-minimum tradition as a compact decision discipline. Across section and chapter units, the recurring moves are to begin from an extremal principle, choose adapted variables, enforce symmetry, scale the regime, reduce by invariants, and solve through canonical, spectral, kinetic, or continuum structure.
Volume I Mechanics is represented at full section resolution: all fifty-two numbered sections are included because they form the variational, Hamiltonian, action-angle, and effective-potential spine of the course. The remaining cases range across fields, relativistic theory, quantum mechanics, QED, statistical physics, fluids, elasticity, continuous media, condensed matter, and physical kinetics. The governing workflow is Landau-style compression: identify which structure fixes the answer first—action, conservation, tensor form, Green function, spectrum, thermodynamic potential, kinetic equation, or constitutive law.
GitHub Pages path: create landau/index.html and place the interactive page there.
Paul Dirac’s Work Algorithms — 300-Case Reconstruction of Quantum Mechanics, Relativity, Field Quantization, Constraints, and Mathematical Beauty
Dirac’s work is reconstructed as a symbolic-compression engine: begin with a physically unavoidable tension between classical mechanics, quantum discreteness, relativity, radiation, or measurement; replace the problem with a compact algebra of q-numbers, transformations, amplitudes, brackets, spectra, or constraints; and then choose the representation only after the invariant formal structure is clear. The page follows this method through noncommuting variables, the correspondence principle, transformation theory, bra-ket notation, delta-function idealization, spectral observables, perturbation and scattering methods, Fermi-Dirac statistics, the relativistic electron equation, spinors, antiparticle inference, radiation quantization, monopoles, constrained Hamiltonian dynamics, and foundational dissent.
The interactive reference contains thirty-three reconstructed strategies, a 300-case lecture-style corpus, overlapping prevalence histograms, a source spine, and worked demonstrations. Its corpus combines early collected papers, later publications and lectures, textbook-section cases from The Principles of Quantum Mechanics, archive-style notes, and public foundational statements.
GitHub Pages path: create dirac/index.html and place the interactive page there.
Julian Schwinger’s Work Algorithms — 300-Case Reconstruction of QED, the Quantum Action Principle, Green Functions, Source Theory, Gauge Fields, and Electrodynamics
Schwinger’s work is organized as a physically controlled formalism engine: begin from actions, variations, sources, Green functions, symmetries, boundary conditions, or measurable amplitudes; make the mathematics carry only the physically normalized quantities; and then derive precision results, response laws, or alternative field-theoretic languages from that foundation. The page follows this method through nuclear scattering, wartime electrodynamics, renormalized QED, anomalous magnetic moments, Ward identities, proper-time methods, angular momentum, gauge fields, source theory, many-body response, gravity, and later foundational lectures.
The interactive reference contains thirty-three reconstructed strategies, a 300-case lecture-style corpus, overlapping prevalence histograms, a source spine, and worked demonstrations. It presents selected papers, book chapters, lecture families, archive-style manuscript units, and public syntheses as a methodological map rather than as reproduced source text.
GitHub Pages path: create schwinger/index.html and place the interactive page there.
Enrico Fermi’s Work Algorithms — 300-Case Reconstruction of Theory, Experiment, Nuclear Physics, Reactor Criticality, and Blackboard Pedagogy
Fermi’s work is reconstructed as a theory-experiment compression system: reduce a physical situation to the few scales and observables that matter, build the minimal solvable model, estimate the answer before overfitting, and close the loop through counts, cross sections, calibration, moderation, criticality balance, or blackboard derivation. The page follows this method across quantum statistics, degenerate electron gases, Thomas-Fermi modeling, beta decay and weak interaction, artificial radioactivity, slow-neutron experiments, resonance absorption, reactor-pile design, thermodynamics, quantum-mechanics lecture notes, elementary-particle lectures, patents, public lectures, and laboratory program-building.
The interactive reference contains thirty-three reconstructed strategies, a 300-case lecture-style corpus, overlapping prevalence histograms, a source spine, and worked demonstrations. It treats collected papers, lecture notes, textbooks, patents, public lectures, and archive-style case families as methodological evidence for Fermi’s distinctive habit of making theory, apparatus, numerical estimate, and pedagogy operate as one instrument.
GitHub Pages path: create fermi/index.html and place the interactive page there.
Edward Witten’s Work Algorithms — 300-Case Reconstruction of Quantum Field Theory, Supersymmetry, Strings, Geometry, and Quantum Gravity
Witten’s work is treated as a translation engine between physical consistency and mathematical structure: begin with quantum fields, symmetries, anomalies, supersymmetry, or black-hole consistency; identify protected quantities, topological sectors, dual descriptions, or brane geometries; and then move the problem into the language where the invariant becomes computable. The page follows this method across gauge theory, anomalies, supersymmetric indices, Morse theory, Chern–Simons theory, knot invariants, string dualities, M-theory, Seiberg–Witten theory, geometric Langlands, twistors, amplitudes, super Riemann surfaces, holography, and quantum-gravity information problems.
The interactive reference contains thirty-three reconstructed strategies, a 300-case lecture-style corpus, overlapping prevalence histograms, a source spine, and worked demonstrations. It is a bibliographic and methodological reconstruction rather than a reproduction of original articles: publication families and public expository material provide the spine, while the thesis summaries and strategy paths are interpretive.
GitHub Pages path: create witten/index.html and place the interactive page there.
Chen-Ning Yang’s Work Algorithms — 300-Case Reconstruction of Gauge Theory, Parity Violation, Statistical Mechanics, Integrability, and Gauge Geometry
Yang’s work is organized as a symmetry-first research engine: begin with an invariance principle, ask whether it is global or local, convert the resulting constraint into a field, charge, phase, selection rule, transfer matrix, or exact algebraic relation, and then test the structure against experiment, geometry, or the thermodynamic limit. The reconstruction follows this method through early nuclear and particle models, Yang–Mills gauge theory, non-Abelian curvature, parity violation with T. D. Lee, Lee–Yang phase-transition zeros, off-diagonal long-range order, the Yang–Baxter equation, Bethe ansatz systems, monopoles, phase factors, and the fiber-bundle reading of gauge fields.
The interactive page contains thirty-three reconstructed strategies, a 300-case lecture-style corpus, overlapping prevalence histograms, a source spine, and worked demonstrations. It treats selected papers, lectures, commentaries, archive categories, and historically important problem families as methodological cases; the result is a map of Yang’s problem-selection logic rather than a reproduction of the original texts.
GitHub Pages path: create yang/index.html and place the interactive page there.
Tsung-Dao Lee’s Work Algorithms — 300-Case Reconstruction of Parity Violation, Statistical Mechanics, Lee Model Field Theory, Solitons, Random Lattices, and Physics Institution Building
Lee’s work is organized as a symmetry-audit and model-building engine: take a conservation law, discrete symmetry, phase structure, or field-theoretic assumption that has become too familiar; separate its testable components; construct the smallest model or experiment that can expose the failure mode; and then rebuild the theory around observable consequences. The page follows this method through early Fermi-school estimates, the Lee-Yang statistical mechanics program, the Lee model, the parity revolution with C. N. Yang, weak interactions, mass-singularity cancellation, current algebra, high-density matter, nontopological solitons, Q-balls, random lattices, discrete time, continuum limits, and late lectures on science, art, and institutions.
The interactive reference contains thirty-three reconstructed strategies, a 300-case paper/book-chapter/lecture corpus, prevalence histograms, worked routes, and a source spine. It treats Lee’s papers, selected-paper categories, books, reports, lectures, and institutional programs as compact research lectures for recovering reusable method.
GitHub Pages path: create lee/index.html and place the interactive page there.
Chia-Chiao Lin’s Work Algorithms — 300-Case Reconstruction of Hydrodynamic Stability, Turbulence, Density Waves, Applied Mathematics, and Program Building
Lin’s work is treated as an applied-mathematical transfer engine: reduce the physical system to a canonical base state, identify the governing dimensionless controls, turn disturbances into spectral or wave problems, and then use asymptotics, neutral curves, critical layers, dispersion relations, and conservation balances to extract the mechanism. The reconstruction follows this pattern through hydrodynamic stability, Orr–Sommerfeld analysis, boundary-layer transition, turbulence closure, heat transfer, rotating disks, spiral-galaxy density waves, resonance maps, deterministic modeling, lectures, monographs, and institutional applied-mathematics programs.
The interactive page contains thirty-three reconstructed strategies, a 300-case corpus built from papers, monograph chapters, lecture units, and institutional source families, plus prevalence histograms and worked demonstrations. It maps Lin’s method as a portable bridge between fluid mechanics, astrophysics, geophysical modeling, computation, and pedagogy.
GitHub Pages path: create lin/index.html and place the interactive page there.
Quantitative Finance
The full Ψ–Orbitfold Finance series (Sets I–IV, 14 papers) develops operator-theoretic foundations for markets: conditional-expectation projectors, Koopman/Perron–Frobenius operators, Dunford cycle/transient splits, and spectral pricing. Documented in full on the Ψ-Operator page. Selected highlights below.
A Ψ-Structured Reformulation of Stochastic Finance
Operator–Projection Factor Models: A Ψ–Koopman Framework for Asset Pricing
Faith & Identity
✝ My intellectual formation is inseparable from Catholic faith and the traditions of its lay orders. 4th Degree Knight of Columbus (Fr. McGivney Assembly); The Taiwan–Holy See paper above is simultaneously a work of strategic analysis and of filial concern for the Church’s mission. The materials below belong to that same identity. ✝
Identity Friction, Diplomatic Nomenclature, and Pastoral Strategy — see Policy section
Plenary Indulgence as Adult Catechesis
Rule of Life — Ignatian–Cistercian Inspired Lay Horarium
Algerian as Tavern Inscription
Study Notes & Learning
Living documents and archived notes. The “What I Learned Today” log and associated materials represent ongoing independent study rather than finalized research.
Ongoing learning log
- What I Learned Today — running log
- What I Learned: March 2023 – March 2024
- What I Learned: Summer 2023
Qualifying exam notes & seminars
- Qualifying Exam Notes (Google Drive folder)
- 2023 RTG Meeting Notes (Prof. Ning Hao)
- Notes on Double Coset Random Walks (Diaconis talk)
Older math projects
- Basics of Fundamental Group
- A Study on Hom-polytopes
- Applying the Method of Steepest Descent on Fisher Exact Test
- Conway’s Basic Theorem on Rational Tangles
- Hardy’s Proof of Uniform Distribution via Continued Fractions
- Archive of older notes (Google Drive)
- Detailed Records Prior to 2014
YouTube & GitHub
Genealogical Research
This project stands outside Logarchéon’s principal research clusters — ASI architecture and Indo-Pacific lawfare — and is catalogued here as a personal appendix. It was undertaken in the recognition that certain forms of knowledge are irreversible in their loss: the oral record of a person who preceded one’s own birth cannot be recovered by any subsequent effort. What survives is the institutional trace.
Side Project · Outside Primary Research Themes
Probable Classmates of My Maternal Grandfather — Waseda University, Faculty of Law, ca. 1923–24
My maternal grandfather — 陳文寬 (信全) — read law at Waseda University (早稲田大学), born approximately 1923–24 by the best reconstruction family record permits. He is Catholic. He died before I was born; what survives him in family memory is secondhand and fragmentary — but not entirely without form. During the 学徒出陣 mobilization of October 1943, 陳文寬 was conscripted into the Imperial Japanese Navy and served in Tokyo, never leaving the city. After Japan’s surrender and the return of Taiwan to Republic of China administration in 1945, he placed second among fifty candidates in the law qualifying examination administered in Taiwan, then served as 兵役課長 — the administrative officer responsible for military conscription — under the early ROC provincial government in Taiwan.
This project reconstructs his probable social world through archival triangulation: the documented co-students of a Waseda law student born approximately 1923–24, across the prewar 専門部 法律科, the disrupted wartime 大学部 法学部, and the postwar new-system 第一法学部. Primary sources include the 早稲田大学校友会会員名簿 series held at the National Diet Library — in particular NDL pid/9544635, the 1963 学科年度別 supplementary roster organized by department and graduation year — together with the 早稲田人名データベース and Japanese-language biographical corpora spanning the 1918–1928 birth cohort. The methodology mirrors open-source intelligence source triangulation: no single record is dispositive; convergence across independent institutional traces establishes the probable.
The documentation produced is not biography. It is a structured inventory of the institutional world into which my grandfather was admitted — and to which, by all available inference, he belonged — as a way of knowing, through the company he plausibly kept, a man I otherwise cannot know.
吳 Surname Origin — Adoption into the 陳 Lineage and the 四大聯姻家族
Family record indicates that my maternal grandfather’s birth surname was 吳 — a lineage whose principal geographic concentration in Taiwan is 大城 (Dacheng) and 二崙 (Erlun), two townships on the southwest coastal plain. He was adopted in early life by a distinguished 陳 family in that region who had no male heir, and carried the 陳 surname for the remainder of his life.
The adoption is genealogically coherent within the structure of the 四大聯姻家族 — the four great intermarried surname clans of southwest Taiwan: 莊 – 李 – 陳 – 吳. These four surnames have been bound across generations by dense matrimonial and adoptive ties; movement between 吳 and 陳 households — whether by adoption of a son into a heirless family or by cross-surname marriage — falls entirely within the conventional social architecture of this network. The 吳–陳 pairing is among the most attested axes within the 四大 framework.
A notable figure from this 吳 lineage in the 大城–二崙 region is 吳澧培, who served as Vice President of the National Bank of Alaska (美國阿拉斯加國家銀行) and subsequently as President of the Northern Bank of Alaska (阿拉斯加北方銀行) — a record of transregional institutional reach extending to the Americas that marks this 吳 lineage as one of some distinction.