An abbreviation is a shortening of a word or a phrase. An acronym is an abbreviation that forms a word. An initialism is an abbreviation that uses the first letter of each word in the phrase (thus, some but not all initialisms are acronyms).
Instead of the compactness argument at 21:00 why cant we consider (a + e/2 , b- e/2) is a subset of I so the lower bound on the outer measure of I is b-a - epsilon
I got the same confusion. For a finite interval, regardless of whether it is closed, open, or half-closed, it seems sufficient to prove that m^*(I) = \ell(I) by [a+e/2, b-e/2] \sub I \sub [a-e/2, b-e/2].
This mainly about definitions and the intricacies of proving what seems to be obvious but is not. Extremely fine attack.
An abbreviation is a shortening of a word or a phrase. An acronym is an abbreviation that forms a word. An initialism is an abbreviation that uses the first letter of each word in the phrase (thus, some but not all initialisms are acronyms).
Thanks
Excelente, quem estuda análise bayesiana, é imprescindível aprender sigma-algebra
Plz upload complex analysis.
Alpha algebras are afraid of sigma algebras
Thank you.
100:28 is it simpler to say E \in A => E^c \in A, so R = E u E^c \in A, so ø = R^c \in A ? (i.e. more direct from initial axioms)
Instead of the compactness argument at 21:00 why cant we consider (a + e/2 , b- e/2) is a subset of I so the lower bound on the outer measure of I is b-a - epsilon
I got the same confusion. For a finite interval, regardless of whether it is closed, open, or half-closed, it seems sufficient to prove that m^*(I) = \ell(I) by [a+e/2, b-e/2] \sub I \sub [a-e/2, b-e/2].
I thought this was some measure theory stuff :))) but some how it goes into functional analysis
This is pure measure theory, not functional analysis. I'm not sure why you are saying this "goes into functional analysis".
@@BigFish-ii8zdffs....Open the description slot....
Everything in maths is functional.
Exactly what is this used for? When would this be used in life?
This is building up for the Lebesgue integral which is used everywhere. Proability theory is a big application for instance.