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22:00
@MattN what chapters of AM does it cover?
never heard of them
I was enjoying myself greatly though, I think the book is totally awesome. Until suddenly a chapter of extensions and contractions in rings of fractions appeared...
Kiran Sridhara Kedlaya (; born July 1974) is an Indian American mathematician. He currently is an Associate Professor of Mathematics at the Massachusetts Institute of Technology. At age 16, Kedlaya won a gold medal at the International Mathematics Olympiad, and would later win a silver and another gold medal. While an undergraduate student at Harvard, he was a three-time Putnam Fellow. A 1996 article by The Harvard Crimson described him as "the best college-age student in math in the United States". Kedlaya was runner-up for the 1996 Morgan Prize, for a paper in which he substantially im...
But I'm done with that too now. whew
@MattN hahahahah
22:00
@BenjaminLim Everything.
oh crap
shit I can't help with primary decomposition
I can help myself, don't worry.
@MattN I have answered a lot of your questions to the best of my knowledge
Yeah, primary decomposition is the next chapter!
@BenjaminLim I know, I upvoted you!
for example that question on how to apply the correspondence between prime ideals in the ring and the localisation
22:02
hi everyone again ... how to parametrize ds during line integral??
$ ds $
Yes.
I upvote every single one of your answers.
thanks :D
Just for the record.
And now I should go to bed. Have a lot of primary decomposition and intersection numbers to do tomorrow.
Good night!
nite!
@DavidWheeler how is it going?
Oh yes: and all of your questions, too. (if I see them)
22:05
@robjohn Sorry for the mistake. But I'm very confused with the notation and what are the entries of that matrix
@BenjaminLim No need to apologize for a typo. I will look at that question in a bit and see if I can help.
@robjohn Thanks love you XOXO
it's surprising how many algebraic and differential geometry concepts coincide.
@robjohn Hi!!
@robjohn Apparently your advisor did a lot with semigroups!
i wonder who's been trolling me lately...
22:13
@Eugene ???
someone has been downvoting me without feedback recently.
i don't mind downvoting i just worry the answers/questions i post are wrong
since it's becoming a trend though i guess i'm less worried.
@BenjaminLim see the edit?
@PeterTamaroff for instance this answer i gave
@Eugene Well, you can always report that on meta!
the guy was downvoting it and retracting his downvote for about 5 minutes.
why would i? if it's not wrong who cares?
lol
22:18
@Eugene I mean, if it is one aisled case, then let it be. But if it is becoming a trend, we can take action.
@PeterTamaroff nah. like you (correctly) observed before, rep is just for fun.
i am trying to avoid gaining any rep.
@DavidWheeler Thanks, but I'm still wondering why in $Df(h(x))$, we have derivatives with respect to $x$...
i have only 3 purposes on this site: to learn, to help, and to discuss. the reputation scorecard at best only measures 1 of the 3 with any accuracy.
@BenjaminLim What's the question?
@DavidWheeler You can always answer in a CW form
@BenjaminLim you really need to read rudin. all the questions you've had so far are in rudin
because f is a function of k+n variables. we have to take partials with respect to all k+n of them, even if those variables are "re-arranged" by h
this is covered in rudin chapter 9
so first we compute Df AT h(x), and then compute Dh at x, and multiply. that's what the chain rule does.
22:24
ok
so in the example of $e^{x^2}$
we had $h(x) = x^2$
what does it mean then to compute $Df$ at $h(x)$?
the single-variable case, doesn't prepare you for the multi-variate case, because a 1x1 matrix is the same as an entry.
in your example, the 'f" is the exponential function.
@DavidWheeler indeed! for multivariables you have to "guess" the derivative first then prove that it is the derivative!
and Df is the 1x1 matrix with the single entry f'(a), whatever point we evaluated at.
so actually I differentiate with respect to $h$ and then only evaluate at $x$ no?
22:26
the derivative of exp is itself, so our matrix is the 1x1 matrix exp(h(x)) = $e^{h(x)}$
@DavidWheeler yes, but the point is we differentiate with respect to $h$
then evaluate at $x$
and not differentiate with respect to $x$
and then evaluate at $h$
@DavidWheeler it was so bizarre when i first learnt it.
no...we just differentiate "exp", and then stick in h(x) for where we evaluated at.
ah so the $u$ there was actually still $x$ then???
the form dy/dx = dy/du*du/dx only works out in the single variable case
22:28
it was just a "dummy"
And to think that our useless lecturer just stated the theorem with his mouth...
@DavidWheeler I think I get it
if $F(x) = gf(x)$
then $F'(x_0) = g'(f(x_0))f'(x_0)$
in the $g'$ term
you first evaluate the derivative in the usual style
it's like the derivative of a function from R^n to R^m is "bigger" than f, unlike where m = n = 1, and they're "the same size"
i.e. the matrix has partials wrt all the variables
and then evaluate at the point $f(x_0)$
22:31
Ok yes I think I misunderstood the result of the chain rule
but in several variables a whole lot of shit gets more confusing
@BenjaminLim read rudin for god's sake!
@Eugene FOR GOD'S SAKE I AM LOOKING AT PAGE 214 OF IT NOW WHERE THE CHAIN RULE IS
:P
yes, that's why it's easier to think of Df(a) as just an mxn matrix whose entries change when a changes.
in other words: a "matrix of functions"
if everyone would just read rudin no one would have trouble with multivariable analysis
22:33
when we have a composite function, we have to multiply 2 matrices together, to get the dimensions right
@Eugene rudin actually deteriorates after chapter 7
@DavidWheeler Yes I was getting a bit messed up with the dimensions
@BenjaminLim i highly disagree with this statement.
@DavidWheeler for the second matrix with the identity in it, have I go the dimensions right? I believe so
@Eugene Rudin I learnt is not the right place to go for the first time
especially several variables
yes, because you were thinking of h(x) as in the "domain" of D(f), and then thinking, how does Df(h(x)) wind up the right size?
I like Munkres' Analysis on manifolds
yes
22:36
@BenjaminLim i learnt it from rudin. once you get used to it it's a fantastic book for all occasions.
@Eugene I am not doubting that chapters 2,3,4 are excellent
@DavidWheeler yes
when i first learned multi-variate calculus, we learned linear algebra first.
@anon you have to answer the ridiculously difficult ones so you end up not racing with anybody.
@DavidWheeler You know what's messed up and really ****** up, our lecturer for the analysis course skimmed through this shit really quickly and then went to inverse and implicit function theorems
Anybody wants to proofread this, just in case anything isn't clear? I'll go grab something to eat! BBL
22:38
@DavidWheeler i still found it weird how the derivative for multivariables must be "guessed" first.
@BenjaminLim F**k him!! LOL
@PeterTamaroff I am writing a formal letter to the maths department after the course about this.
@PeterTamaroff i understand none of this. must be all wrong then. =)
@BenjaminLim Seems fair. Good for you.
well, like to think of it this way: a derivative is the "best" linear approximation available.
22:39
@DavidWheeler Ah one more thing
@JonasTeuwen yes, he did; what have you found?
You know we say that $f$ is differentiable at $a$
if there is a linear map $L$ such that
ok somebody IS trolling me!! he did it again!!
@robjohn Oh, I just saw a lot of semigroup results where they cited Stein.
a certain limit is 0, yes.
22:40
$\frac{f(a+h) - f(a) - L(a)\cdot h}{|h|} \rightarrow 0$ as $h \rightarrow 0$
Now
@JonasTeuwen Ah. I am not surprised.
How do we get from here that $f(a+h) \approx f(a) + L(a)\cdot h$?
What happened to the $|h|$ in the denominator of the fraction before @DavidWheeler?
@robjohn 8-))). Or Lacey... Or whatever.
@robjohn Tuomas presented a cute generalization of the Carleson theorem (getting the Hunt version for free) for an intermediate space to an UMD space and a Hilbert space.
(Open problem: Is every intermediate space between an UMD space and a Hilbert space an UMD space?)
for that limit to be 0, means L(a).h approaches f(a+h) - f(a) faster than h does.
@DavidWheeler faster than $h$ does to...?
22:43
@robjohn if someone downvotes an answer it should be in his reputation record right?
@robjohn And Tao Mei presented a $(H_1)^* = \text{BMO}$ result using operator theoretic tools (so only reasoning with semigroups, not kernels)
@Eugene They do lose a reputation for it.
faster than h approaches 0 (we use |h| so we can find a ratio)
@Eugene yes
@DavidWheeler yes.
So... Now my task is to find out if it would match my operator 8-)).
22:44
However how come the $|h|$ guy just disappeared?
@robjohn well now i should see if i can find the troller then
@robjohn I was getting really ill, so I booked a flight this afternoon to get home (otherwise tomorrow). There was only one seat left today for all flight carriers to Amsterdam apparently! So they charged me an arm and a leg, so to speak 8-)).
hmm.. no luck..
@DavidWheeler
@JonasTeuwen Too sick to wait until tomorrow? I hope you feel better.
22:48
@robjohn I didn't want to end up in a Spanish hospital, I do not speak the language, and their knowledge of English is in general quite poor.
rewrite the limit as $\lim_{h \to 0} \frac{f(a+h) - f(a)}{|h|} = \lim_{h \to 0} \frac{L(a)\cdot h}{|h|}$
@Eugene I don't know how you would go about finding someone who has downvoted you.
@DavidWheeler Ah ok
the limit on the right hand side
is approximately just the numerator @DavidWheeler?
@robjohn look for some suspects then check their if they lost 1 rep recently
so for small |h| the LHS = RHS
22:49
@robjohn data.se?
looks like i failed though.
@DavidWheeler thanks
@JonasTeuwen I don't think that is updated recently enough.
it's only a good approximation "near a"
@robjohn Aha.
So he has to wait a bit 8-).
22:50
the cool thing is, there is a unique L for which that is true.
which is why we talk of "the" derivative, instead of "a" derivative.
@DavidWheeler yes I found out yesterday about uniqueness :D
yeck. it's just getting annoying. downvotes with no explanation
which justifies the expression the "best" linear approximation
@Eugene It's annoying, but there's not much other than asking why that we can do.
and basically, we leverage information in neighborhoods of "a" by using what we know about the linear map L
22:53
@robjohn fair enough. thanks for the advice!
for example, if L is non-singular, we can find a "local inverse"
yeah inverse function theorem
one could theoretically write a program to track the public "# of downvotes" stat on a select group of user profile pages and keep timestamps of their changes...
and the derivative of the local inverse HAS to be $L^{-1}$
yes
that is it
22:55
so once you get past the gobblty-gook of all the partials, it's really just plain ol' linear algebra
the topological structure of R^n lets us do this magic, as long as we "stay local"
@robjohn These PDE people have weird spaces. Like $L^{\frac32}$...
@anon probably not worth the effort.
So then I think, of so they just don't have the right exponent, or are not able to prove that.
@JonasTeuwen The dual to $L^3$ :-)
Next slide: "And $\frac32$ is optimal".
22:59
manifolds take this idea, and run with it. we basically turn problems of stuff happening on a surface, to stuff happening in the (euclidean) tangent planes, where everything is much easier.
@robjohn Yes, or $L^{\frac45}$.
@DavidWheeler You have inspired me
to do a courseon manifolds next sem
@JonasTeuwen Ooh, below $1$. That is strange.
@robjohn Oh, no, it must have been $\frac54$.
oh my... adventure time is now an iphone game.
23:00
@robjohn But for Hardy it is okay 8-).
@JonasTeuwen There is a lot more to use with $L^{\frac54}$
@JonasTeuwen yes
@robjohn We don't know if for our spaces $H^p = L^p$ for $p > 1$ 8-).
There was some brother that had a Hardy space without any maximal function.
I hate word problems with ambiguous wording
So I am like: So how do you verify what kind of functions are in your space? 8-).
"I don't know."
"The solution is kept thoroughly mixed and drains from the tank at the same rate." does that mean the solution in is the same as solution out? Meaning y' is 0?
23:03
@Jordan, you have an example of this?
@Jordan To me, that sounds as if the components of the solution are always in the same proportions.
Maybe the full context will help "A tank contains 1000L of brine with 15kg of dissolved salt. Pure water enters the tank at a rate of 10L/min. The solution is kept thoroughly mixed and drains from the tank at the same rate. How much salt is in the tank after t minutes and after 20"
But then that means it never leaves? So I don't understand what I am calculating
I would think the solution is draining at 10L/min
The solution is being diluted by the adding of the water. They mean that you can disregard the fact that in actual practice, the fresher water would be at the top, and the saltier water at the bottom.
so y'(t) = 10?
23:07
The brine is being replaced at a rate of 1%/min
$\frac{dy}{dt}$ = rate in - rate out
But I have no rate out?
you have 2 things happening simultaneously: one is a mixture (at the current level of concentration) is exiting, another is pure water is entering.
It looks like it is 0
at the same rate
@Jordan "drains from the tank at the same rate"
or no?
23:09
@robjohn several variables, confusing as hell
$15e^{-t/100}$
$\frac{\mathrm{d}}{\mathrm{d}t}\text{salt}=\text{flow}\times\frac{\text{salt}}{ \text{volume}}$
@robjohn Yay!
If we have a sigma algebra F, and we know A \cap B \in F, do we have A^c \cap B \in F?
what is the e for?
@Jordan it is part of the solution to the following differential equation
23:18
I didnt follow how it was derived
I actually have no idea how to set up this problem still
@Jordan The flow of salt out of the container is the density of salt in the container times the flow out.
@Jordan The flow of salt into the container is the density of salt in the incoming water times the flow in.
I am having trouble understanding that
suppose there is x kg of salt in the container, then the density of salt is x/1000 kg/L
the flow of salt out is 10L/min times x/1000 kg/L = 1/100 times x kg/min
why 10L?
@Jordan that was given as the flow
23:25
in but not out
16 mins ago, by robjohn
@Jordan "drains from the tank at the same rate"
I thought that meant the water and salt drains at the same rate as eachother
@Jordan The salt is in a solution of 15kg / 1000L
If 10L of solution leaves, then .15 kg of salt leaves.
but that lessens the solution of the salt
I follow that
23:33
@Jordan So suppose there are x kg in the 1000 L vat.
the amount flowing out would be x/1000 kg/L times 10 L/min = x/100 kg/min
there is no salt coming in, so we don't need to worry about that.
Thus we get $\frac{\mathrm{d}x}{\mathrm{d}t}=-\frac{x}{100}\text{ kg/min}$
isnt that negative?
ok, so I need to make a differential equation out of this?
That is a differential equation
it minutes = t?
I am not sure how to solve this equation I guess
$\frac{\mathrm{d}x}{\mathrm{d}t}=-\frac{x}{100}$ is the differential equation with time in minutes.
$\frac{\mathrm{d}x}{x}=-\frac{\mathrm{d}t}{100}$
Integrate
$\log(x)=\log(15)-\frac{t}{100}$
30 mins ago, by robjohn
$15e^{-t/100}$
@Jordan better now?
log15?
23:45
@Jordan to match the initial amount of salt in the vat (when integrating you get a constant of integration)
where does that come from in the $\frac{dx}{dt} = -\frac{x}{100}$?
@Jordan when integrating $\frac{\mathrm{d}x}{x}=-\frac{\mathrm{d}t}{100}$
I get $ln|x| = \frac{-x}{100}$
@Jordan what happened to your constant of integration?
I forgot it
23:48
@Jordan and what would it be to make $x=15$ at $t=0$?
@Jordan and that is wrong... it is $\frac{-t}{100}$, not $\frac{-x}{100}$
oh yeah
oh so raise both sides by e?
@Jordan and remembering the constant of integration.
so $x = e^{\frac{-t}{100}} + K$
@Jordan no. where does the constant of integration go?
I dont know
23:51
The integration gave $\log(x)=\frac{-t}{100}\color{red}{+C}$
Then exponentiation gives $x=e^Ce^{\frac{-t}{100}}$
$x=15e^{-t/100}$
12 mins ago, by robjohn
30 mins ago, by robjohn
$15e^{-t/100}$
The $15$ matches the $15\text{ kg}$ originally (at $t=0$)
Is TeX supposed to render here?
(in chat, that is)
@MB If you have the bookmark
@MB The easiest place to get it might be here
@robjohn Ah, thank you.
@MB you're welcome. Enjoy!

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