Measure Theory 13 | Lebesgue-Stieltjes Measures

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This is part 13 of 22 videos.

#MeasureTheory
#Analysis
#Integral
#Calculus
#Measures
#Mathematics
#Probability

I hope that this helps students, pupils and others. Have fun!

(This explanation fits to lectures for students in their first and second year of study: Mathematics for physicists, Mathematics for the natural science, Mathematics for engineers and so on)

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I haven't commented on any of your previous videos, but I just want to say how thankful I am that you have made these fantastic lectures available to the public!

peterlee
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I’m 2 weeks behind in lectures as with online covid lectures, the lecturer goes so fast as he doesn’t have to write! These videos are brilliant. Thanks.

Anteater
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I am truly amazed by measure theory. I'm currently studying stochastic calculus and I am reviewing my measure theory. In this video, the density you presented at the end, is very interesting. It shows up in the calculation of Expectation for a Random Variable, and the F is basically how you measure that r.v. It's crazy how interconnected everything is. Thank you

ChainWasp
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Thank you. This is helping paint a pretty picture and intuition.

SimpMaker
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Really great videos. I am finding them really helpful. Thank you.

happyhedgehog
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Thank you for these great videos. They're so helpful

asmaanaciri
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Your videos are very useful and very organized!

zeinabharakeh
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Thank you so much Sir
It's very helpful

shaliniyadav
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wow, what an underrated video. Amazing. Thank you!

seanki
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I used to hate measure theory. You made me love it ☺️👍 Thanks

fatemekashkouie
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Amazing series all around!! Thanks so much for the great work

AlvaroBelmar
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10:20 Q/ “ It doesn’t matter where the equality sign is, the measure can’t see the jump” ( because the measure is defined by either the difference of left limit or the difference of right limit )
10:40 the interesting measure of interval is when the jump is inside the interval
11:10 Dirac measure
11:24 general case

qiaohuizhou
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love your vids. Greetings from germany !

kolokolo
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So LS measures means defining the length of an interval by the difference in function values at its endpoints?

Anteater
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So in the first definition the F is continous from the left and in the second case is continous from the right? May I misunderstood something? Because I've tought that the F to be a distribution function must be continous from the right.

MrWater
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These videos are great, thanks so much for making these!

DylanD-vg
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I really appreciate your video, it's amazing! Regarding (c) what is the largest sigma algebra in R where \mu_[F] is defined, and how can I check \mu_[F] for absolute continuity? Thanks.

muluegebreslasie
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Hello Julian!
Using this definition for the LS-measure of an interval (i.e., F(b-) - F(a-)) = mu([a, b)), how could we calculate the measure of a set of the type S = {a}?

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Guys a quick question, the semiring \mathcal{A} includes the sets like [a, b), but the borel set \mathcal{B(R)} includes the sets like (a, b), [a, b], [a, b) and (a, b] ?

amitozazad
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Hi! I'm still a bit confused about the reason that you chose F(a-), instead of F(a), to calculate the length. Could you explain it a bit further? Thank you!

hanmi