Measure theory studies measurable spaces and measure spaces.
Measure theory is the field of mathematics that grew out of the Lebesgue integral and Kolmogorov's axioms for probability.
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).
A comprehensive five-volume treatise (with a sixth volume forthcoming) is
A more concise two-volume treatise is
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
Ernst-Erich Doberkat, Measures and all that — A Tutorial (arxiv/1409.2662)
Alain Connes (1995); Noncommutative Geometry.
D. H. Fremlin (2001); Measure Theory; 5 volumes, web.
Discussion via topos theory
and particularly via Boolean toposes:
Simon Henry, Measure theory over boolean toposes, Mathematical Proceedings of the Cambridge Philosophical Society, Volume 163 Issue 1, 2016 (arXiv:1411.1605, doi:10.1017/S0305004116000700)
Asgar Jamneshan, Terence Tao, Foundational aspects of uncountable measure theory: Gelfand duality, Riesz representation, canonical models, and canonical disintegration (arXiv:2010.00681)
Last revised on July 28, 2021 at 11:13:49. See the history of this page for a list of all contributions to it.