nLab
measure theory

Contents

Contents

Idea

Measure theory studies measurable spaces and measure spaces.

History

Measure theory is the field of mathematics that grew out of the Lebesgue integral and Kolmogorov's axioms for probability.

Some subfields and applications

The general measure theory studies general notions and constructions in measure theory, like the connection to integration, the measure spaces, derivation by measure, Caratheodory construction? and so on.

Probability theory studies special class of measures, so called probability measures which are normalized to unity.

Measure theory is very much having a central role in studying so called ergodic theory of dynamical system.

Geometric measure theory is the geometric study of measures of subsets of Euclidean space and the measure theoretic aspects of various geometric objects, like the integration of classes of currents and their extremization properties.

There is a generalization, the noncommutative measure theory, which is more or less the study of von Neumann algebra, see Connes (1995).

References

A comprehensive five-volume treatise (with a sixth volume forthcoming) is

A more concise two-volume treatise is

  • Vladimir Bogachev, Measure theory?, Volumes I, II. Springer, 2007. ISBN: 978-3-540-34513-8, 3-540-34513-2.

A classical (slightly dated) concise treatise is

  • Paul Halmos, Measure Theory, D. Van Nostrand Company, 1950.

  • Donald L. Cohn?, Measure Theory, Birkhäuser, 1980. ISBN: 3-7643-3003-1

Other texts include

Discussion via topos theory

and particularly via Boolean toposes:

Last revised on March 19, 2021 at 17:57:08. See the history of this page for a list of all contributions to it.