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12:20 PM
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A: Integration a function of a single variable over a 2-dim measure

Stefan HansenLet $\pi_X:X\times Y\to X$ be the projection, i.e. $\pi_X((x,y))=x$ for $(x,y)\in X\times Y$. Then $\nu$ is the image measure of $\mu$ under $\pi_X$, i.e. $$ \nu(A)=\mu(A\times Y)=\mu(\pi_X^{-1}(A)),\quad A\in\mathfrak{B}(X). $$ Integration with respect to $\nu$ can be described via integration w...

 
Oh, so one shall go from the RHS to the LHS in the equality in OP. That's nice! Do you have any book source for the pass from $\nu$ to $\mu$ via the projection?
 
My immediate thought is that you can't go from the LHS to the RHS, because you can't describe $\mu$ uniquely by $\nu$ (i.e. $\pi_X$ has no inverse function). I'm not sure if you can do something clever to be able to go from the LHS to the RHS though. You can take a look at Measures, Integrals and Martingales by R. L. Schilling. He treats the idea of integration with respect to image measures. Not sure if he treats the explicit case where the mapping is the projection though.
 
I see, but that doesn't seem to be necessary - I liked the way you presented the solution. I'm interested though in some book sources on the passing from one integral to another in a general form given for a function $\varphi$ in your linked post - are you aware of any? Most of these results are not hard to proof, but sometimes it's better just to have a proper reference.
 
Yes, chapter 14 in the before-mentioned book (maybe I was unclear, but it treats exactly the kind of passing from one integral to another as described in $(*)$ in the linked answer).
 
Somehow I've seen before only the 2nd edition of your previous comment, not the last one - sorry. The case when we have a projection I guess is a special case, so of course it's not necessary to have an explicit reference to that particular instance
 
12:20 PM
No worries :) I accidently clicked add comment, and was in a rush to edit it before the 5 minute mark.
 
hi!
 
hey!
hopefully you're able to get a hold of that book, i'm actually not aware of other sources
 
@Stefan: I'll check it out - that's strange that the integration w.r.t. pushforward measures is rarely discussed
though maybe Bogachev or Fremlin does it
are you doing probability?
 
Not anymore, I got my master's in statistics in september, so now i'm employed
but I loved doing probability theory when I studied
 
I see. It's cool then that you have some time to dedicate to MSE although you're employed :)
 
12:26 PM
I'm to afraid that I'm going to forget things, so I come here regularly :)
What about you?
 
I did financial math as my master and loved probability that time - during BSc I hated it :) now I'm a PhD but I still don't know where I go next
I'm working on the approximations of Markov processes mostly in the total variation-like style
a bit too conservative, but very precise
 
Financial math seems like the kind of area where getting a job shouldn't be a problem
 
dunno, it's kinda crisis still going on now
 
I've just started a second half of my PhD, so I'll be looking for the industrial opportunities a bit later
 
12:30 PM
Dudley's "Real Analysis and Probability" have very little about this kind of integration. Just stating the theorem and giving a 5 line proof using that standard argument
so you've got 1½ years until you finish?
 
@StefanHansen PhD is 4 years here (Netherlands) - but now I'm about 20 months to finish
 
5 + 4? or 4 + 4?
 
emm, 5 or 4 refers to BSc+MSc?
 
I'm not sure, I did my previous studies in Russia and Sweden
 
12:32 PM
oh
 
:)
 
they're pretty fond of probability theory in Russia, I guess
 
oh yeah, but it has been given to us through measure theory (0.5 year course) which was super dry! No intuition/motivation at all has been given
now I consider Lebesgue-like measure theory as one of the most beautiful concepts in math
 
Yeah, I agree
 
especially comparing to Riemann integration
 
12:34 PM
indeed
 
but the time I first learnt about that, it seemed to be a disaster
 
we got the most perfectly written meaure theory notes (in Danish though) with nice examples of how the concepts are applied in probability theory
I guess it depends alot on the source you're reading
that's what got me hooked
 
@StefanHansen that's true. In our case that were lecture notes of the lecturer, as dry as you cannot even imagine. I learnt only later that being formal is not necessary being dry
@Stefan: I don't have Dudley now - does he discuss it for general pushfowards?
 
Wait, what do you mean for general pushforwards? Like for a general mapping $\varphi$ not necessarily the projection?
by/for
 
yes
 
12:40 PM
Yes, he treats the general case, but VERY briefly
5 line proof and that's the end of the section
not examples
no examples or nothing*
it was just to give you an alternative to Schilling in case you couldn't find that book
but I would go with Schilling
 
@StefanHansen finally - it's in my library (Schilling)! The library's website doesn't work well today
 
great!
enjoy reading and thanks for the talk, i'll be off for now
 
@StefanHansen: thank a lot, was nice to talk to you - and see you around on MSE.
 
see you around I guess :)
 
:D
 
12:44 PM
:D
 
btw, there is a general chat

 Mathematics

Associated with Math.SE; for both general discussion & math qu...
there are a lot of nice discussions (mostly non-math) going on there and nice people hanging out
@StefanHansen: and finally, your comment here shall be an answer. I think, you got the question in a right way - though maybe it's worth waiting for clarifications
bbl
 
1:10 PM
Yeah, I'll wait until the OP replies. It's not 100% clear what his intention is (not to me at least)
I'll take a look in the general chat, thanks :)
In your new question, what exactly are you looking for? Isn't the construction just called a "disintegration"?
@Ilya: Heh, apparently i'm talking to myself in here :D
 

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