Alphabeta Math

Measure Theory

54 pages in 1 part

Measure theory begins with the domain before the measure: a sigma-algebra is the family of sets on which countable operations stay available, which is the closure property a topology does not supply. This collection establishes that domain. Algebras and sigma-algebras of subsets, measurable spaces, generated sigma-algebras and the minimality that makes the generation well defined come first, with the closure laws, the calculus of generators and a comparison criterion. Pi-systems, lambda-systems and monotone classes make an argument about a generated sigma-algebra tractable, and Dynkin's pi-lambda theorem and the monotone class theorem are proved. The Borel sigma-algebra is then the smallest one containing the open sets, described from intervals, rays, rational boxes, balls and compact sets, shown to commute with the trace on a subspace, and stable under continuous preimages. The transfinite construction by countable ordinals is given with its choice hypothesis stated, and cardinal arithmetic settles the sizes a sigma-algebra can have.

This vocabulary is what the rest of the subject is stated in, and the tracks scaffolded above it reserve it directly. Functional analysis needs it for the Lebesgue spaces and their duality, probability for random elements and the limit theorems, representation theory for Haar and Radon measures, complex analysis for subharmonic functions and boundary values, and differential geometry for integration against a density. The results this library records without proving under measure and integration are discharged when that track is built.

Pathway

The parts run in order. Everything a page needs from this group has been read by the time you reach it, and the level on each row is how many dependency steps into the group that page sits.

  1. Part 1 · Sigma-algebras and Borel sets

    27 pages

    Carathéodory extension and Lebesgue measure, measurable functions, integration and convergence, product and signed measures, Radon--Nikodym, the Lp calculus and duality, Riesz--Markov representation, Vitali covering, maximal estimates, differentiation, Hausdorff measure, complex Lp conventions, Riesz--Thorin interpolation and the sharp FTC, with choice and sigma-finiteness hypotheses explicit. Measure preservation then gives Koopman isometries, invariant sigma-algebras, ergodicity and strong mixing criteria; weak mixing means vanishing Cesàro correlations, product ergodicity and no nonconstant eigenfunctions; Poincaré recurrence, first-return maps, Kac's formula, rotations, shifts and Krylov--Bogolyubov lead to the Chacon transformation, ergodic and weakly but not strongly mixing. The dynamics closes with the maximal ergodic inequality, Birkhoff's almost-everywhere theorem and von Neumann's L2 mean theorem, unique ergodicity, Weyl equidistribution, Borel normality and the fair-coin strong law.