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sdf
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18:04
If $f\colon X\rightarrow Y$ is a closed map of top. spaces and $U\subset X$ then is $\overline{f(U)}=f(\overline{U})$? I guess this is probably obvious?
@JayeshBadwaik Cinlar's book seems good, but I really like Oliver Knill's book Probability and Stochastic Processes which is also on his website.
sdf
sdf
Okay I figured it out... (it's false)
Can I ask a qucik question? :)
Just ask. Never ask to ask.
You may not be answered though.
No I asked if anyone is going to answer :p
18:30
@Tharindu we can't know before we know the question
@Tharindu You already did.
@PedroTamaroff I capped today, lol
@Pedro how goes it?
@Studentmath Pretty darn good.
@Studentmath is ignoring me lol
18:32
*looks at questions
*judges Jasper
@Jasper I never ignore you!
I hate trying to guide someone to an answer via comments, and than someone pops in with the full answer
@PedroTamaroff Wassup?
@JasperLoy I see. I am sticking to Cinlar for now.
@JayeshBadwaik Not much. Going to tenis in a while, hoping to math at night.
@PedroTamaroff Good, good. What are you doing in math now?
@JayeshBadwaik Complex analysis.
18:37
@PedroTamaroff I'm doing that too.
Nice, what are you doing in that?
Yes way!
WAI WAI
What book are you using?
Stein Shakarchi, Gamelin and Rudin
mostly Gamelin and Rudin
You?
Oh. I'm using one book only. Remmert's.
Hopefully I'll get to read the second volume too.
I'll probably check out Lang rand Rudin.
18:39
Well, its like our prof likes the order of topics in Stein, but the exposition in Gamelin, and I think Rudin is swell, so kinda three.
Where are you now?
@JayeshBadwaik I'm jumping from chapters to chapters. Around chapter 7 I think.
Looking at the "fundamental theorems" like the identity principle, maximum modulus, minimum modulus, local minimum, &c.
Ahh, okay I see. I am into Weierstrass Products now. I don't see a second volume for Remmert.
Well, it is called "Classical Topics in Function Theory."
It is the continuation of the second one.
@PedroTamaroff Is it the analytic continuation?
@JasperLoy No, they don't intersect.
18:43
@PedroTamaroff You mean the first one.
Ahh, okay, my remaining month of semester will now contain some of the second part now.
The best books on complex analysis I think are Freitag's 2 volumes
some of those we've already done, Riemann Mapping and Montel and so.
@JayeshBadwaik You should go to the US and do your doctorate after this.
18:46
@JasperLoy Okay.
@JayeshBadwaik Maybe I will see you there lol
@JasperLoy May be.
@StudentMath I know I know ;)
@Pedro Yep I finished posting it
19:01
@TheGame It's $\zeta(-1)=-\frac1{12}$. Note that series representation of Riemann zeta function only works for $s>1$.
@Chris'ssis Well, $1+2+3+...=1/12$ isn't that false at all
You, who likes to think out of the box, should understand well :D
I think I should put on a new avatar...
19:29
@TedShifrin convolution and the Fourier transform work wonders
@TheGame you keep getting the sign wrong.
2 hours ago, by robjohn
@robjohn Yeah i noticed that but it was too late to edit
@robjohn I should try using them on my mental problems.
@JasperLoy There are many problems that it helps... I guess it couldn't hurt.
@TheGame it is false unless you say that you are using some regularization.
@robjohn It just depends of how one defines infinite summation, doesn't it ?
@TheGame Well, there is only one way to define it, lol
19:33
@JasperLoy No ?
@JasperLoy Usually we define it as the limit of the partial sums
@JasperLoy But that is just one chosen definition
@JasperLoy Other exists
@TheGame Thanks for the 4 pings. My name now looks impressive
@JasperLoy ? @JasperLoy Ping what @JasperLoy ping ? @JasperLoy What are you talking about ? @JasperLoy
Oh @thegame I forgot, how old are you?
16 (@Chris'ssis ^^)
Ah, I am about twice your age.
19:37
:-)
@TheGame Don't forget me when you win the Fields medal OK?
@JasperLoy How would that happen :/
@TheGame I will be the janitor at the ceremony, lol
@JasperLoy I'm in the PC (physics chem) section of prep schools, not in MP (math physics)
@TheGame Ah, then Nobel Prize then!
19:38
Uuuh
@JasperLoy Go for the Janitor prize ? :P
LOL
OK I am going to think of a new pic to use.
Another blue ?
No, I will use a photo of a superstar.
@JasperLoy You can join @Chris'ssis 's fan club and use a modified superman pic :D
@TheGame You seem in love with her, lol.
19:47
@JasperLoy $\huge>:c$
@TheGame I am in love with ... Well, that is my secret, lol
@JasperLoy That sentence was useless -__-
@TheGame Unless you state it otherwise, it is the standard definition.
@TheGame By the way I don't understand all your smilies, lol
@JasperLoy I don't always either :P
@JasperLoy '-____-' can mean many things
19:53
@TheGame I think I should start using some too ---
@JasperLoy There's also the smiley 6IR64U B
It means 'oops my hand slipped on the keyboard'
I still can't believe I got 200 points today. That has not happened for a long time
0
Q: Suppose that A and B are nxn matrices with A row equivalent to B. Prove that if A is nonsingular, then B is row equivalent to In.

J LSuppose that A and B are nxn matrices with A row equivalent to B. Prove that if A is nonsingular, then B is row equivalent to In. I answered this on a test and it seemed right to me, but got zero credit. What did I do wrong? Was my logic incorrect? my answer: By definition, row equivalence me...

Isn't he right ?
20:29
I just evaluated a cute integral.
What is the most marvellous way to compute this one?
$$\int_0^1\log\left(\frac{x}{2}+\sqrt{\frac{x^2}{4}+1}\right)\frac{\ dx}{x}$$
I think I will go to bed in 1 hour from now.
Not many people talking in chat today.
@Chris'ssis Do you work on your book every day?
20:53
@JasperLoy Not really. For instance, today I was pretty busy, I didn't have much time to work on it.
Can somebody help me prove an inequality?
Just ask. Never ask to ask.
I'm trying to prove that $P(|X|\geq t z)\geq (1-t)z^2$, given that $E(X^2)=1$, $0<z<E(|X|)$, and $0<t<1$.
($X$ is a random variable here, $P$ a probability, $E$ expected value)
I've been given the hint to consider Cauchy-Schwarz but I can't figure out how to use it.
@JasperLoy How do you feel today?
21:03
@Chris'ssis I feel pretty good today. I walked for 4 hours, lol. Maybe I can go running next week.
@Chris'ssis I am trying to guess your age. I guess 25, lol.
How do I know if I should perform a proof by induction? The problem is to prove $j < k$ if $nj < nk$ in $\mathbb{N}$ (using only the definitions of multipication, addition, ordering, etc.) but I'm told induction doesn't help even though induction was used to prove $k = j$ if $nk = nj$
@JasperLoy That's good.
@JasperLoy 25? Do you like the perfect squares? :D
@Chris'ssis Am I right? I think I am very close.
No, she's 32.
@SamuelHandwich How do you know?
21:11
@JasperLoy Psychic powers
@SamuelHandwich You like the Ham Sandwich theorem?
terribad connection + MSE insisting on a CAPCHTA verification = 5 minutes of laptop rage
@JasperLoy I'm told it's very nice.
@SamuelHandwich Yes, it uses top grade ham.
but! @TheGame: hope you like my answer for your determinant question
21:12
@Semiclassical I upvoted it :) Now i'll have to find a good way to generalize it
woohoo
i suspect the key is to find a way to write the generic case compactly
$X=X1_{(-\infty,-tz)}+X1_{(tz,\infty)}+X1_{(-tz,tz)}$
ech that doesn't work
No emails in my inbox, I am bored, lol.
how the hell do i relate these conditions on expectations to $P(|X|\geq tz)$
the only think I can think of that involves that are Markov's and Chebyshev's inequalities but they point the wrong way
Cauchy Scharz says $E(XY)^2\leq E(X^2)E(Y^2)$.
Hey, all.
21:19
so, $E(XY) \leq E(Y^2)$
But that gets me nowhere
What do you mean point the wrong way, Samual?
Can Partial Differential Equations have an order like Ordinary Differential Equations do?
Ah I get it.
What's the exact question @Samuel?
@Studentmath $P(|X|\geq t z) \leq \frac{E(X^2)}{t^2z^2}$ but that doesn't get me any closer to $P(|X|\geq t z) \geq (1-t)z^2$ at least in any way i can see
18 mins ago, by Samuel Handwich
I'm trying to prove that $P(|X|\geq t z)\geq (1-t)z^2$, given that $E(X^2)=1$, $0<z<E(|X|)$, and $0<t<1$.
that is it exactly
@Samuel will give it a look, not sure I can help but will try.
21:22
I've also got Markov's inequality, $P(|X|\geq tz)\leq \frac{E(|X|)}{tz}$ but again doesn't go the right way
hint is to use Cauchy Schwarz but I have no idea how
$0<t<1$ so $0<(1-t)z^2<z^2$. If we could make $z^2\leq P(|X|> zt)$ we'd be in business. We know that $P(|X|\geq zt)\leq \frac{E(X^2)}{z^2t^2}=\frac{1}{z^2t^2}$.
Just post the question on the site, it will get more responses
@JasperLoy my friend did, it didn't get any.
@Samuel right.
But again, all these things are in the wrong direction. It doesn't help us.
@Studentmath they're the only inequalities I know relating $P$ with $E$
i'd just try to carry it out from the definition of $P$ but that can be really hard
What do you mean from the definition of P?
Huh, even the fact that $z<E(|X|)$ helps in the 'wrong' way.
21:33
@Studentmath i mean making a sequence $X_n\rightarrow X$ of simple random variables and using $E(X_n)\rightarrow E(X)$. since each $X_n$ is simple it's $X_n=\sum_{m=1}^Mc_m1_{A_m}$ for $A_m$ in the $\sigma$-algebra, so $$E(X_n)=E(\sum_{m=1}^Mc_m1_{A_m})=\sum_{m=1}^ME(c_m1_{A_m})=\sum_{m=1}^Mc_mP(A_‌​m)$$
and... idk, trying to pull some kind of inequality out of the convergence of that to $E(X^2)=1$?
i have no idea it's the only other thing i can think of
heya @Studentmath
Weird how much probability shows up in here now that I'm supposed to be learning it :P
@khallil: Of course
21:36
It always works that way :P
@TedShifrin have any idea how to prove this?
@Samuel as a mattar of fact, all the inequalities I know on P work the 'wrong' way. I'm afraid it just might be the way you suggested.
@TedShifrin It's that Baader-Meinhof phenomenon.
In mathematics, the second moment method is a technique used in probability theory and analysis to show that a random variable has positive probability of being positive. More generally, the "moment method" consists of bounding the probability that a random variable fluctuates far from its mean, by using its moments. The method is often quantitative, in that one can often deduce a lower bound on the probability that the random variable is larger than some constant times its expectation. The method involves comparing the second moment of random variables to the square of the first moment. ��2�...
Might be of use?
No idea, offhand, @Samuel.
21:40
hmmmm
I can get $(1-t)^2*z^2$. Close.
Is that inequality even right for a normal random variable with the appropriate $\mu$ and $\sigma$?
But not there just yet.
Hmm how did you get that part?
Using Paley-Zygmund inequality. Though it only works if the random variable has finite variance, which we don't know.
21:42
realizes @Studentmath knows a hell of a lot more probability than he does
@Ted it's just because of this seminar paper :P I got familliar with lots of inequalities. But I have no clue when it comes to sigma-algebra and measure theory definitions.
you can learn that in grad school, if you're so inclined (well, you'll definitely have to learn real analysis)
I hope to, I guess.
@Samuel are you bounded by the inequalities you may use, pardon the pun? Because I am sure I can find one fitting.
@Studentmath i have never taken measure theory. The sigma algebra stuff makes sense to me when it works... just not the counterexamples when things don't work
@Studentmath Well he gave Cauchy-Schwarz as a hint so I assume that anything we find can possibly be reduced to that
anything would help really
Hm
I will give it a look
21:45
LOL @Studentmath: kudos.
$E(X1_{(-\infty,-tz]\cup [tz,\infty)})\leq \sqrt{E(X^2)P(|X|\geq tz)^2}$
@Ted about the pun? I was quite proud of it
Gahah @Samuel
bleh
that does nothing
Ah. Actually it's nice, if you can figure out that $E$.
$E(X1_{(−∞,−tz]\cup[tz,∞)}) \leq P(|X|\geq tz)$
by the condition on $E(X^2)$
21:50
Yep
What can you say about $E(X1_{[tz,\infty )})$
Don't really know if you can say anything, but could be useful.
i still havent used that $0<a<E(|X|)$
I can actually bound it by $(1-t)^2E(|X|)^2$. The inequality used is proveable using cauchy-schwartz only
But it doesn't help
Can we bound $E(X1_{(-\infty ,-tz]})$ by $-t*E(|X|)^2$ somehow?
i can't think of a way
gosh this is just a tough son of a bitch. i will be right back i need a cigarette.
I know the frustruation. Ask @Ted how I grumble at every exercise here.. Sure you will figure it out. Off with the dog, if by the time I get back you are still on it, will try to see how I can help
22:06
@TedShifrin
not here?
oh well
@Samuel if it helps you, we can get by Markov that $P(X<tz)\ge (1-t)$
Not sure if it does.
22:39
why is $E(Z1_{Z<\theta E(Z)})\leq \theta E(Z)$?
oh duh.
(wow.)
Hi
how to ask a specific question to specific person that I know?
I mean I know his name here, but when I open his profile I can't see any contact detail, such as email, skype, ... etc
is there any way to contact a member here?
@barznjy there isn't any way. You can ping him in chat if he is on chat.
@SamuelHandwich Thanks. He is not ON now. and I don't know when he will be on.
Can I create a private chat room?
@barznjy i think it's possible but it is a little difficult
@SamuelHandwich if for example, on your profile I click on (start a new room with user) this will be a private room or public room ?
22:53
@barznjy yes that's what you'd have to do with him
@SamuelHandwich the problem is that he don't have this option in his profile ....
@barznjy because he's not online
@SamuelHandwich so when anyone is online this option will be active automatically?
@barznjy i believe so
@SamuelHandwich Thanks
22:57
no sweat
23:31
sometimes, the various historical conventions of math can't help but make me laugh
for example, the fact that the Binet-Cauchy identity in algebra is a special case of...the Cauchy-Binet formula for determinants in linear algebra
evidently the generality of a theorem is not invariant under reflection of its authors
Hi, where is the last inequality in oi60.tinypic.com/2uz8di1.jpg coming from?
23:59
@Samuel managed it?
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