Project Sherlock

Formal & Natural Sciences

Mathematics

The study of structure, quantity, change and space — and the only field where a result, once proved, stays proved.

10 fields · 110 topics · 12 curated works

Fields within Mathematics

Foundations & Logic

12

What mathematics rests on, and the limits of what it can prove about itself.

Propositional & Predicate Logic · Set Theory · Model Theory · Proof Theory · Computability & Recursion Theory

Algebra

13

The study of operations and the structures they generate, from groups to categories of modules.

Elementary & Abstract Algebra · Group Theory · Ring Theory · Field Theory · Galois Theory

Number Theory

12

The behaviour of the integers — the oldest questions in mathematics and several of the hardest.

Elementary Number Theory · Analytic Number Theory · Algebraic Number Theory · Diophantine Equations · Distribution of Primes

Analysis

11

Limits, continuity and infinite processes made rigorous.

Real Analysis · Complex Analysis · Functional Analysis · Measure Theory · Harmonic & Fourier Analysis

Geometry

10

Space, shape and the invariants that survive deformation.

Euclidean Geometry · Non-Euclidean Geometry · Differential Geometry · Riemannian Geometry · Algebraic Geometry

Topology

10

The properties of space that survive stretching but not tearing.

Point-Set Topology · Algebraic Topology · Differential Topology · Homotopy Theory · Homology & Cohomology

Combinatorics & Discrete Mathematics

10

Counting, arrangement and the structure of finite systems.

Enumerative Combinatorics · Graph Theory · Extremal Combinatorics · Ramsey Theory · Design Theory

Probability Theory

11

The mathematics of uncertainty and random structure.

Measure-Theoretic Probability · Stochastic Processes · Markov Chains · Martingales · Random Walks

Applied Mathematics

12

Mathematics aimed at systems that actually exist.

Numerical Analysis · Optimisation Theory · Dynamical Systems · Chaos Theory · Control Theory

History & Philosophy of Mathematics

9

Where the ideas came from, and what mathematical truth even is.

Ancient & Greek Mathematics · Islamic Golden Age Mathematics · The Calculus Priority Dispute · The Foundational Crisis · Platonism vs Formalism

Reading in Mathematics

12

Start here

No prior grounding assumed.

  • A Mathematician's ApologyG. H. Hardy, 1940

    A working mathematician's defence of pure mathematics as an art form judged by beauty rather than utility.

    Book
  • How to Solve ItGeorge Pólya, 1945

    A general heuristic for attacking any problem: understand it, plan, execute, then look back at what the solution taught you.

    Book

Then

Assumes you know the vocabulary.

  • ElementsEuclid, 300 BCE

    Derives the whole of classical geometry from five postulates, and in doing so invents the axiomatic method every later mathematics is written in.

    Book
  • The Unreasonable Effectiveness of Mathematics in the Natural SciencesEugene Wigner, 1960· 14 pages

    Asks why mathematics invented for its own sake keeps turning out to describe physical reality, and offers no comfortable answer.

    Essay
  • Mathematical Methods in the Physical SciencesMary L. Boas, 1966

    Collects every mathematical technique a physical scientist actually uses into one book, chosen for utility rather than for elegance.

    Book

Go deeper

Primary sources and full treatments.

  • On Computable Numbers, with an Application to the EntscheidungsproblemAlan Turing, 1936· 36 pages

    Defines the universal machine and proves the halting problem undecidable — the founding document of computer science.

    Paper
  • Principles of Mathematical AnalysisWalter Rudin, 1953

    The standard first course in rigorous analysis, austere to the point of severity — it teaches proof by refusing to do any of the work for you.

    Book
  • Concrete MathematicsGraham, Knuth & Patashnik, 1989

    The discrete mathematics needed to actually analyse algorithms — sums, recurrences and generating functions, taught as a manipulable craft.

    Book
  • An Introduction to Probability Theory and Its ApplicationsWilliam Feller, 1950

    The classic treatment, built on problems rather than measure theory, and still the best source of probabilistic intuition.

    Book
  • TopologyJames Munkres, 1975

    The standard introduction to point-set topology, patient enough that the definitions feel motivated rather than imposed.

    Book
  • AlgebraMichael Artin, 1991

    Builds abstract algebra out of linear algebra and matrix groups, so the axioms arrive as descriptions of things you already understand.

    Book
  • Proofs from THE BOOKMartin Aigner & Günter Ziegler, 1998

    A collection of the most elegant known proofs of significant theorems, chosen for economy rather than generality.

    Book