403 Definitions
- measurable space [2, pp. 25]
A measurable space is the space \((X,\mathcal{M})\) if
- \(\mathcal{M} \sub P(X)\)
where
-
\(\mathcal{M}\) is \(\sigma\)-algebra
- \(X\) is a set
- \(P(X)\) is the family of all subsets [2, pp. 2]
Note: not to be confused with a “measure space.”
- measure space [2, pp. 25]
A measure space is the space \((X,\mathcal{M}, \mu)\)
where
- \(\mu\) is the measure
Note: not to be confused with a “measurable space.”
- measurable set [2, pp. 25]
A measurable set is the \(\sigma\)-alegbra, \(\mathcal{M}\), in a measurable space: \[ \mathcal{M} \in (X,\mathcal{M}) \]
- simple function [1] \[s: X \rightarrow \mathbb{R}\]
\[ s = c_1 \chi_{E1} + c_2 \chi_{E2} \dots + c_n \chi_{En} \]
- borel measure [2, pp. 33]
…
- lebesgue measure [2, pp. 37]
- \(\mu_F\) is the complete lebesgue measure
- \(F(x)=x\) function associated with \(\mu_F\)
- \(m\) is the length of the measure
- \(\mathcal{L}\) is the lebesgue measurable set
Use of the lebesgue measure [3, pp. 33]
- lebesgue integral [2, pp. 56]
..
403.1 References
- https://e.math.cornell.edu/people/belk/measuretheory/DefiningTheIntegral.pdf
- [Pure and Applied Mathematics_ A Wiley-Interscience Series of Texts, Monographs and Tracts] Gerald B. Folland - Real Analysis_ Modern Techniques and Their Applications (1999, Wiley-Interscience) - libgen.li.pdf
- William Feller - An Introduction to Probability Theory and Its Applications, Vol. 2 (1971, Wiley) - libgen.li.pdf