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Lebesgue measure, measurable functions, integrability, completeness of L-p spaces.
Similar statements can be made about a measurable function in $\mathbb R^n$.
The appropriate restriction is that a random variable must be a measurable function.
where is a measurable function.
A function is called N- measurable on if for every measurable function the function is measurable.
(b) defines a measurable function from into.
The obstacle is a measurable function.
Let be a non (Lebesgue) measurable function.
A measurable function is called a measurable selection of if for every Denote by (2.4).
Therefore (4.2) is a measurable function as a linear combination of measurable ones.
Let (f:{mathbb{R}}^rightarrow X) be a measurable function.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com