notes

Probability & Measure — graduate course notes

Typeset notes from a graduate measure-theoretic probability course — thirteen lectures, one coherent ~50-page arc.

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What it is

My typeset notes from a graduate measure-theoretic probability course. I write my own set of notes for every course I take; these were written up in LaTeX after each lecture, in my own words, with the proofs I found clearest.

The arc

Sigma-fields and Dynkin's π–λ theorem · Carathéodory extension · Lebesgue measure and the Vitali construction · measurable functions · the integral and the three convergence theorems · Lebesgue–Stieltjes and Fubini–Tonelli · L^p spaces and the classical inequalities · modes of convergence · Borel–Cantelli · laws of large numbers · characteristic functions and the CLT · a taste of ergodic theory.

Why abbreviated is a feature

Fifty pages, not five hundred. Everything proved is proved honestly, everything skipped is skipped deliberately — these are revision-speed notes for exams, qualifiers, or rebuilding intuition years later.

Also included

The custom preamble that typesets these notes — theorem environments, styling, the lot — so your own notes can look this good.

what you get

  • Probability & Measure notes (PDF, ~50 pages)
  • Custom LaTeX preamble (theorem environments + styling) for your own notes

license

Sold under a personal-use license: yours to use on your own devices, not to redistribute.

attribution

Independent study notes — written in the author's own words after a graduate course; not affiliated with or endorsed by any university or instructor