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15:02
So if $c$ is rational, a finite string in $c$ must be fixed by countably many multiplications of $2$ on $c$, that is, the number of fixed points of $c$ under the action of $2\times$ is finite
note that we also need to use that $g$ and $h$ are of degree $>1$, since $f$ has no roots in $K$
But the the question is, how does one check the orbit induced by countable actions of a magma on a set
or else this argument could fail
@MatheiBoulomenos hast’i mehr aoyfgaben?
interesting spelling
15:07
yiddisch
I wonder what function will allow me to zoom into the next layers of a continued fraction
@LeakyNun try to contruct a finite extension that is not simple
Well, maybe start with a finite extension that is not separable
Hmm....
$c=[i;a_1,a_2,...]$
$\frac{1}{c-i}=[a_1;a_2,a_3,...]$
So the required function is:
$$\frac{1}{c-\lfloor{c}\rfloor}$$
Therefore, given $c$, $\frac{1}{\cdot - \lfloor \cdot \rfloor}^n (c) = c_n$
15:22
How do I prove that $|\{(x,y): (x,y) \in \Bbb Q^2 \land x^3 + y^3 = 9\}| = \infty$?
where $c_n$ is the nth layer of the continued fraction
So for rationals, $n$ is finite
hmm...
Let $k=\frac{1}{e^e-\lfloor e^e\rfloor}$
$\ln k = -\ln (e^e-\lfloor e^e\rfloor)$
$\ln k = -\ln (e^e - 15)$
$ke^e - 15k -1 = 0$
Let $k=\frac{1}{e-\lfloor e\rfloor} = \frac{1}{e-2}$
$\ln k = -\ln (e-2)$
$ke-2k-1=0$
...
Let $k_0=e, k_1 = \frac{1}{e-\lfloor e\rfloor} = \frac{1}{e-2}$
$k_1e-2k_1-1=0$
Let $k_2 = \frac{1}{k_1-\lfloor k_1\rfloor} = \frac{1}{k_1-1}$
$k_2k_1-k_2-1=0$
$k_2 (\frac{-e+3}{e-2})=1$
ok this is getting nowhere, clearly thinking about this mechanically is not going to work, I need to think about this more globally...
15:53
taco
@LucasHenrique that'd be equivalent to $x^3+y^3=9z^3$ having infinitely many integer solutions. kinda interesting that that's doable but $x^3+y^3=z^3$ isn't.
(it's not equivalent, since 9 isn't a perfect cube)
Morning Semi
I can spot (2,1,1)... hmmm
or Semi Morrning?
15:59
There should just be some easy family that satisfies it, I guess
I swear doing too much math makes you insane
Okay. I have a nooby one for ya'll. If you have a bookshelf with 4600 centimeters of books, and the width of the books is normal distributed as N(1.8,0,7). What is the probability that you have more than 2500 books?
that sounds like a central limit theorem question
i dont undestand the notation FTW
16:01
Really?
EGG NOG IS SO GOOD
should that be N(1.8,0.7) ?
The average width is 1.8 centimeters, and the standard deviation is 0.7, yeah.
that makes more sense
Hence, we consider N(1.8,0.7), or am I wrong?
16:02
is that std dev = 0.7 or var =0.7 ?
wikipedia has the notation as $\mathcal{N}(\mu,\sigma^2)$
So there's a tiny chance of having a book with negative width :^)
i havent done stats in 10 years
Oh.. Yeah, 0.7 is the std dev.
@MatheiBoulomenos of what field?
So, rather N(1.8,0.49) then.
16:03
right
@LeakyNun good morning
worth knowing if you have a reference text
Yeah. Well, we haven't solved it quite yet
@LeakyNun any field you want
But not all fields have such extensions
16:06
So if we have $Y=X_1+\dots+X_n$ then where each $X_i\sim N(1.8,0.49)$ then $Y\sim N(1.8n,0.49n)$, am I right?
hmm
that feels backwards, unfortunately.
it's not that you know how many books you have and you want to get the predicted height
Okay. So if $Y=4600$, we want to find out the probability that $n\geq2500$.
you've got the height and you want to predict the number of books
@Faust good morning
|Get enough sleeps?
16:07
Right.
i hope u like a camel
built it all up when u were a kid or something
So, where do we start instead?
that's what I'm not seeing. it seems like you'd need a probability distribution on the number of books
16:08
how old is leaky?
It can't be this one. Here, we let $n$ go to $\infinity$.
$\infty$
lol
i suspect i'm missing something obvious
In probability theory, the law of large numbers (LLN) is a theorem that describes the result of performing the same experiment a large number of times. According to the law, the average of the results obtained from a large number of trials should be close to the expected value, and will tend to become closer as more trials are performed. The LLN is important because it "guarantees" stable long-term results for the averages of some random events. For example, while a casino may lose money in a single spin of the roulette wheel, its earnings will tend towards a predictable percentage over a large...
Me too.
what i'm thinking is about the problem in reverse
you start with 4600 cm's of books, and you start pulling them off the shelf
Yeah? We know the number of books, but not the length.
Okay.
16:10
Alright i have to go do that think at the school with the learning and stuff. ill see you guys laterz =)
so the first book you remove would lower it on average by 1.8, the next by 1.8 again, etc
Keep it real, @Faust
Yeah
until you eventually pull all the books off the shelf
Dead sure
what I find a bit uncomfortable is the end of that process
i.e. you need the length of the last book you remove to be a normal random variable as well
16:12
Yeah, so this method isn't what we want.
well, is it true that $4600-\sum_{n=1}^{N-1} X_n$ is a normal random variable if the $X_n$'s all are?
i should think it is.
Well, what are the criteria for a random variable? I think they hold.
yeah. what i'm not sure is the variance/mean
mean should be 4600-1.8(N-1), I guess
bleh. this doesn't seem to work either
how I'd want this to proceed is to say
keep removing books until the sum exceeds 4600, and take the number of books removed as the random variable
I'm not convinced that gives the answer perfectly right, but it shouldn't be far off the mark
This feels like a pretty standard probability question, there must be some thread on MSE about it. I can't find any, but still.
@LeakyNun I'll give you a hint: characteristic $0$ won't do it. Finite fields won't either
16:19
Perhaps I should start one. Worst case scenario is that it's a duplicate.
I vaguely feel like the problem doesn’t make sense as written
@MatheiBoulomenos :o
Okay. I can quote it word by word.
Like it should be that the width doesn’t exceed 4600
But that seems wrong too
"John has 46 bookshelf meters of books in his library. The width of the books can be seen as independent random variables with expected value 1.8 cm and standard deviation 0.7 cm. Determine approximately the probability that John has more than 2 500 books!"
16:22
Hmm. “Approximately” is a big hint there, I think
Hi @Ted
Yeah, me too.
Hmm
Maybe one way to start here: how would One formulate the (absurdly small) probability of him having one book?
Then you’ve just got one random variable and it’s easy
How do things change if we make it two...
16:28
How, exactly, do we compute the probability that he has one book?
We have the random variable for the book. What's the probability of it being exactly 4600 centimeters wide?
right. so that'd be (4600-1.8)/0.7 = many many standard deviations from the mean
I think the issue is really this: If $\sum_n X_n=4600$, are these random variables independent?
yes that's the issue, or yes they're independent?
16:31
They are independent, sorry for the unclear answer.
hmm
I think my concern is how $4600-\sum_{n=1}^{N-1}X_n $ is distributed
I don't get why you got (4600-1.8)/0.7 from. We were supposed to get a probability.
that's the number of standard deviations 4600 cm is from the mean value of 1.8 cm
since 0.7 cm is the standard deviation
All right
main point is that, while that answer is well-defined, the resulting probability is obviously way too small to be relevant.
16:34
Yeah, but few books are 46 meters wide indeed.
yup
so now we go to the two book case.
and here's where I get unsure. suppose X1 ~ N(1.8,0.7^2).
If X1+X2=4600, then X2 = 4600-X1
the mean value of X2 is then <X2> = 4600<1>-<X1> = 4600-1.8 and the variance is <(X2-<X2>)^2> = <(X1-<X1>)^2 = 0.49
so X2 isn't distributed as N(1.8,0.7^2) if X1 is.
that makes me realize another issue, come to think of it.
suppose we have a single random variable X~N(0,1). what's the probability that x=1 ?
right.
we never talk about the probability of a single value, but the probability of a range
16:41
I've thought about that as well.
The interpretation I want to give this is that we should be asking for the probability that X1 is at least 4600
That's not what they are asking.
Maybe, we can try to find that first.
Hence why I say I want to say that :/
Okay. Let's go for the easier one first.
kk
Suppose we've got $N$ random variables $X_n \sim \mathcal{N}(1.8,0.7^2)$. What's the probability that $\sum_{n=1}^N X_n\geq 4600 ?$
by the central limit theorem, this sum should be distributed as $\mathcal{N}(1.8N,0.49N)$
16:46
Yes
so 4600 would correspond to $z=(4600-1.8N)/(\sqrt{0.49N})$ std deviations
and we'd want to compute $\int_z^\infty \Phi(z)\,dz$
...hrm. I'm not liking where this is heading
Integrating the distribution function for the normal distribution, many attempts die that way.
I think what I should do is take $N=2500$ specifically
not sure i'm right on that, but let's at least see what that gives
z=(4600-1.8*2500)/sqrt(0.49*2500) = 2.857
16:51
Poll: "combinatorical interpretation" vs "combinatorial interpretation"
second
though I think i'd do "combinatoric interpretation", so no -al
2
I'll be back soon. I've got to change place in uni, they're closing the library those fuckers.
All of those options seem immensely popular.
@Semiclassical google search doesn't like "combinatoric"
all 3 break arxiv.
16:56
If a cover is compact, is it finite sheeted?
yes
preimage is a discrete set; discrete subsets of compact spaces are finite
Always? I assume we need some assumptions on the base space...
Hopefully this isn't a repost
13
Q: $a_n$ is the smallest positive integer number such that $\sqrt{a_n+\sqrt{a_{n-1}+...+\sqrt{a_1}}}$ is positive integer

Roman83An infinite sequence of pairwise distinct numbers $a_1, a_2, a_3, ...$ is defined thus: $a_n$ is the smallest positive integer number such that $\sqrt{a_n+\sqrt{a_{n-1}+...+\sqrt{a_1}}}$ is positive integer. Prove that the sequence $ a_1, a_2, a_3, ... $ contains all positive integers numbers. ...

I guess you need Hausdorffness of the base
@LucasHenrique I did some searching regarding your question. It seems to be related to elliptic curves. Note that a rational solution to $x^3+y^3=9$ is equivalent to a integer solution to $x^3+y^3=9z^3$. In this post there is a method to generate infinitely many solutions starting from a single solution: math.stackexchange.com/a/475562/348926
16:58
'cuz you want points to be closed to take preimage and say the preimage is closed
you just need an initial solution, you can take $x=1$ $y=2$ $z=1$
closed discrete subsets of compact spaces are finite :)
if you only need closedness of single points, then $T_1$ is sufficient

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