RESEARCH BASE
Search 3,721 documents across 34 fields — every claim tier-rated by evidence
3,633 are the core, quality-scored corpus (34 lettered sections — see How We Work); the remaining 88 are cross-corpus synthesis documents (68 InterDocs, 12 Connections, 8 Theories) also indexed here.
2,700 results for "de Sitter space" — page 119 of 135
V_1_13 — Women in Mathematics History
Women have made profound contributions to mathematics throughout history despite systematic exclusion from universities, academies, and professional recognition. Hypatia of Alexandria (c. 350–415 CE), the first well-docu
V_1_12 — Chinese Mathematics History
Chinese mathematics developed independently over at least 3,000 years, producing remarkable achievements often centuries before their European counterparts. The Jiuzhang Suanshu (Nine Chapters on the Mathematical Art, co
V_4_13 — Mathematics of Voting: Arrow's Theorem, Fairness, and Electoral Systems
The mathematics of voting — a branch of social choice theory — applies rigorous mathematical analysis to the problem of aggregating individual preferences into collective decisions, revealing deep impossibility results t
V_4_14 — Wavelets: Multi-Resolution Analysis and Signal Processing
Wavelets — localized, oscillating functions that can be scaled and shifted to analyze signals at multiple resolutions simultaneously — represent one of the most important mathematical developments of the late 20th centur
V_4_22 — DNA as Computing and Information Storage Substrate
DNA is not merely the molecule of heredity — it is emerging as a revolutionary substrate for computation and long-term data storage that could fundamentally challenge silicon-based information technology. The field was l
V_4_26 — Philosophy of Mathematics: Foundations, Reality, and Discovery vs. Invention
The philosophy of mathematics asks the deepest questions about the nature of mathematical objects: Do numbers, sets, and geometric forms exist independently of human minds (Platonism/realism), or are they human construct
V_4_18 — Information Theory Cross-Discipline Bridge
Information theory, founded by Claude Shannon in 1948, provides a universal mathematical framework for quantifying uncertainty, communication capacity, and data compression. Its core concepts — entropy, mutual informatio
V_4_02 — Mathematical Economics
Mathematical economics applies formal mathematical methods — optimization, fixed-point theorems, measure theory, stochastic processes, and game theory — to model economic phenomena with the rigor of a mathematical scienc
V_4_25 — Bayesian Inference: Probability as Rational Belief Updating
Bayesian inference — the mathematical framework for updating beliefs in light of evidence using Bayes' theorem — has become one of the most powerful and contested ideas in modern science. Named after Reverend Thomas Baye
V_4_00 — Computational Modern: Subfolder Summary
V_4_01 — Discrete Mathematics and Logic
Discrete mathematics — the study of mathematical structures that are countable, separated, or distinct (as opposed to continuous) — provides the theoretical bedrock for computer science, digital communication, and rigoro
V_4_07 — Chaos Theory Applications: Sensitivity, Strange Attractors, and Prediction
Chaos theory — the study of deterministic systems that exhibit sensitive dependence on initial conditions — is one of the most consequential mathematical discoveries of the 20th century, fundamentally altering our unders
V_4_06 — Mathematics in Natural Forms: Spirals, Symmetry, and Phyllotaxis
Mathematics pervades the natural world in patterns of astonishing regularity — from the logarithmic spirals of nautilus shells, hurricanes, and galaxies, to the Fibonacci phyllotaxis of sunflower seed heads and pinecone
V_4_15 — Formal Verification: Proving Programs Correct
Formal verification — the use of rigorous mathematical methods to prove that a software or hardware system satisfies its specification — aims to provide absolute correctness guarantees, going beyond testing (which can re
V_3_12 — Statistics and Hypothesis Testing
Statistics — the science of collecting, analyzing, and interpreting data under uncertainty — underpins virtually every empirical science, from medicine and psychology to physics and economics. Modern statistical hypothes
V_3_08 — Fractal Geometry: Self-Similarity Across Scales
Fractal geometry, developed primarily by Benoit Mandelbrot (1975-1982), studies shapes with self-similar structure at multiple scales — coastlines, fern leaves, blood vessel networks, galaxy distributions, and financial
V_3_21 — Bayesian Statistics Revolution
Bayesian statistics — the framework for updating probability estimates as new evidence is acquired, grounded in Bayes' theorem — has undergone a dramatic resurgence since the late 20th century, transforming from a margin
V_3_02 — Graph Theory & Network Mathematics
Graph theory — the mathematics of networks, connections, and relationships — began with Euler's Königsberg bridge problem (1736) and has become one of the most broadly applicable branches of mathematics, with direct rele
V_3_00 — Applied Mathematics: Subfolder Summary
V_3_03 — Chaos Theory & Fractals: Mathematics of Complexity
Chaos theory — the mathematical study of systems that are deterministic yet unpredictable — represents one of the most profound discoveries of 20th-century mathematics. Edward Lorenz (1963) discovered that a simple syste
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