#help-33
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sup
@compact ether Has your question been resolved?
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How dis wrong?
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if I multiply 7560 * e^(293) * 30^0.5 and 7560, 293, and 30 are all measured values
would I round the final ans to 1 sigfig?
because the 30 is the least SF
but the 30 is a counted value so im not sure if it counts
If it's counted, then no.
so it's based on only measured values?
It has infinite precision
so if it's recorded with some type of instrument that wouldn't be infinite precision right?
great tysm
.close
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hi
i dont get how they get this
on left side we can get
ln(y^2)
but its like they are ignoring the constant C1
if C1 = 0, i get it that y^2 = x
but then we get e^C1
and thats not a "random" constant, because it cant take on all values
C=e^C1
@stoic slate C means a random constant
right?
but e^constant cant take all values
can u get all the numbers with e^(some constant) ?
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what is that
yes
I got 361.66 as well
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Is the decimal system in the base 10 just a random picked value for our usual system or 10 is natural to us?
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some check my work
correct ☑️
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$y(0) = 1$
$\frac{dy}{dt} + 2y = 3 \$
$\frac{dy}{dt} = 3 - 2y \$
$dy = 3-2ydt$
how else would I do this?
Tomi
the variable of the integration is not in the function itself, so I can't really evaluate that.
I think you could solve it with an integrating factor
In this section we solve linear first order differential equations, i.e. differential equations in the form y' + p(t) y = g(t). We give an in depth overview of the process used to solve this type of differential equation as well as a derivation of the formula needed for the integrating factor used in the solution process.
@upper sigil Has your question been resolved?
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could someone explain how to do this problem, i feel like its much easier then I believe but I am lost
are you familiar with definition of the derivative?
sort of, but very new
what is the definition of the derivative?
rate change
yes
but in function notation
f(x2)-f(x1) /x2-x1
so then this?
yes
now, imagine h as a 'step' away from either x2 or x1, which every point you want to find the derivative at
say x2 is h away from x1, and say x1=x
then how would you write this?
so kinda like -h?
$f'(x_0) = \frac{f(x_0+h)-f(x_0)}{h}$
Xetrov
so then this is wrong?
yeah
then i have to put the eq, to that format?
yes
how exactly? do i put the f(x) eq + 0.001?
for h in here, as 0.001?
and then the x values as the ones from f'(#)?
Yes
The idea is that h should be approaching 0, but you can estimate it with a small h like 0.001
No, $\frac{f(-3.75+0.001)-f(-3.75)}{0.001}$ where $f(x)$ is $6\cdot 0.55^x$
tatpoj
So $\frac{6 \cdot 0.55^{-3.75+0.001} - 6 \cdot 0.55^{-3.75}}{0.001}$
tatpoj
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Can someone help me here idk how to identify the (x,y) here
@polar granite Has your question been resolved?
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@polar granite Has your question been resolved?
What is this supposed to mean?
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How to show the rate of change of Q
Why nobody helps him?
You guys are cold blooded
It is weird because I found that sqrt(k) is attainable
I don’t know
brine blooded
@tawdry fog Has your question been resolved?
Lol
@tawdry fog Has your question been resolved?
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What is area of line PQ when there's sadalikkol ABCD
And AD∥EF∥BC , AD=20 ,BC=24 while point P and Q are intersection of line EF,AC and BD
@faint grove Has your question been resolved?
@faint grove Has your question been resolved?
what's a sadalikkol?
사다리꼴
HuckleBerry
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huh?
What the hell is this
agreed
@atomic dune where does all that come from in geometry?
and geometry yes
\documentclass{article}
\usepackage{amsmath}
\begin{document}
To find the length of the line segment (PQ) in the quadrilateral (ABCD) with the given conditions:
Given:
- (AD \parallel EF \parallel BC)
- (AD = 20), (BC = 24)
- (P) and (Q) are intersections of lines (EF), (AC), and (BD)
Solution:
Since (AD \parallel EF \parallel BC), the dominant terms for large (n):
[ a_n = \frac{2 + 4^n}{2 + 3^n} \quad \text{and} \quad b_n = \left(\frac{4}{3}\right)^n ]
Using the limit comparison test:
[ \lim_{n \to \infty} \frac{a_n}{b_n} = \lim_{n \to \infty} \frac{\frac{2 + 4^n}{2 + 3^n}}{\left(\frac{4}{3}\right)^n} = \lim_{n \to \infty} \frac{(2 + 4^n) \cdot 3^n}{(2 + 3^n) \cdot 4^n} = \lim_{n \to \infty} \frac{2 \cdot 3^n + 12^n}{2 \cdot 4^n + 12^n} ]
For large (n), the dominant terms (12^n) cancel out:
[ = \lim_{n \to \infty} \frac{\left( \frac{2}{4^n} + 1 \right)}{\left( \frac{2}{3^n} + 1 \right)} = 1 ]
Since (\sum_{n=1}^{\infty} \left(\frac{4}{3}\right)^n) diverges and the limit is positive finite, the original series also diverges.
Conclusion:
The series (\sum_{n=1}^{\infty} \frac{2 + 4
HuckleBerry
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actually my bad its Calculus 2, i answer questions to different person lol
ah why it doesnt work
okok
HuckleBerry
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HuckleBerry
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Latex generation is the best
@faint grove Has your question been resolved?
사다리꼴의 사진 있나요? 괜찮으시면 좀 시도하겠습니다
이건 좀 비정통적인 방법인데 이렇게하면 돼나요
@faint grove Has your question been resolved?
I gave a hint but seems he ignored it
Are you still trying this?
The correct answer is not 12cm.
I am still trying
Actually never mind, I'm not so sure about my solution anymore
Ok I think I have an easy solution
My hint is this: can you list down all similar triangles you see?
Using the similar triangles you will be able to use length ratios of the points along EPQF to known lengths
sorry
Don't worry about it. But yes the answer is not 12cm
@faint grove Has your question been resolved?
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I am needing help with my math final project. I have to take a table of data and create a function from it algebraically (I will add my data and its graph in this post). I know how to do this with smaller numbers but I would be lying if I said my head wasn't spinning trying to figure out where to start here... I tried finding the possible degree of the polynomial algebraically but I think I didn't do it right. Thank you inadvance for your help!
@indigo plume Has your question been resolved?
<@&286206848099549185>
You could use Lagrange interpolation
i am not sure what your question exactyl is. you have 24 datapoints (1997-2020) and what should you do now?
If you want a polynomial through these points
I have to take those data points and find a function mathematically that is a polynomial with a degree of 3 or higher
and you need to find the polynom or the degree of the polynom?
The complete polynomial
This should do the job
I looks like it would fit the data well!
My math course is just really particular and they havev't covered Lagrange Interpolation so I'm not sure I could use it though 😦
It’s just a formula, I think you should be fine using it
I can give it a shot! Im not super familar with it though, any pointers you can share to help me find my heading??
But the wiki article maybe isn’t the best explenation wise, maybe look up some other websites
The Lagrange interpolating polynomial is the polynomial P(x) of degree <=(n-1) that passes through the n points (x_1,y_1=f(x_1)), (x_2,y_2=f(x_2)), ..., (x_n,y_n=f(x_n)), and is given by P(x)=sum_(j=1)^nP_j(x), (1) where P_j(x)=y_jproduct_(k=1; k!=j)^n(x-x_k)/(x_j-x_k). (2) Written explicitly, P(x) = (3) The formula was first publishe...
This looks a bit better
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I need help
zA
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zA
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[
\log_2 \left( x^{3/2} \right) = 3
]
huh
zA
alr
how do I find what x is…
so we need to use the rules of the logarithms
ah yes
ik which one I think
do I take the exponent and put it in front of “log”
so it becomes [
\ 3^{\log_3(x)}
]
yes
now what shall I do?
we want to isolate the x
hmm
you have a coeficcient
do I get rid of it?
yeah
3 divided by 3/2?
but since we're isolating the x we try to bring it to the other side
yeah
you have the correct idea here
so then it's (1/2)(log_2(x))=1
but we still have 1/2 on LHS
we still need to get rid of it
times 2 on both sides?
yes
zA
ik what it is but can u write it in the general way?
all I know it’ll be x = 2^2
**
can I do is
take log2 of both sides
so I get x = 2log_2 2
which using the law
it’s
x = log_2 2^2
x = log_2 4
nah
czuz then it will be 2
which isn't right
okay I see
it should be 2^(log_2(x)) = 2^2
which then 2^(log_2(x)) cancel to get x
i’ll write this in latex so I can see it better
alr
zA
would it cancel to be just x?
yes
@sinful vessel Has your question been resolved?
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what exactly is the relationship between how many times an eigenvalue will show up along the diagonal of an upper triangular representation of a linear operator and multiplicity of the factor associated with that eigenvalue in the minimal polynomial? are they always the same? i think they...aren't? but i could use some clarification on how this works
Hope that could help oosh, im clueless on LA
Can you explain this "upper triangular representation of a linear operator "
If you talking about matrices then number times an element appear in a upper diagonal matrix's diagonal will determine the multiplicity
so given some basis for the vector space thats the domain of the linear operator, say the matrix representation of the operator is upper diagonal under that basis
then the eigenvalues appear along the diagonal right?
let me i guess explain more of why i'm asking this question, so if i'm understanding correctly, this theorem is saying that if the minimal polynomial has a factor with multiplicity of more than 1, then an operator wouldn't be diagonalizable?
what do you mean by multiplicity in this context?
So if (x-2)^2=0 Then the root x=2 will have multiplicity 2
in both the minimal and the characteristic polynomials or?
I am familiar with term characteristic polynomial but not minimal polynomial. I was referring to the characteristic polynomial
i think part of my confusion is also axler presenting things in terms of minimal polynomial also and not introducing characteristic polynomial / determinants until later on in the book and not being sure about the relationship between the two, but my question is specifically about minimal polynomial
it's a bit of a different approach than most LA books
so i guess for this matrix, the minimal polyonomial would be (x-1)^2 and it isn't diagonalizable because 1 is the only eigenvalue, the dimension of the eigenspace is 1 and you would be able to tell the minimal polynomial has multiplicity 2 so it doesn't meet the necessary condition of that theorem
but this is well obviously diagonalizable, the minimal polynomial is (x-1) with multiplicity 1 so that checks out, the eigenspace for 1 has dimension 2
so i guess in conclusion, how many times the eigenvalue appears along the diagonal of an upper triangular matrix doesn't correspond with the multiplicity in the mnimal polynomial
you will later encounter the jordan form
and that will tell you the best relationship I suppose
the multiplicity in the min poly gives you the size of the largest jordan block for that eigenvalue
ah
you can also interpret that in terms of the generalized eigenspaces
so a matrix is diagonalizable only if each jordan block is of size 1?
yes
you need a basis of eigenvectors
so before introducing that concept, you can't really tell easily visually from just looking at the matrix what the multiplicity in the minimal polynomial will be, the way you can for characteristic polynomial?
no
but if the factor (z - λ) appears more than once in the min poly, you need to apply T - λ more than once to kill the generalised λ eigenspace
trying to wrap my mind around what you just said
that's using the concept of annihilator that was in the earlier axler readings?
i have not read axler 
oh sorry youre in the axler group so i thought you might have been following along
i havent
what axler group
so wait lemme try to wrap my mind around what it means for T- λI to "kill" an eigenspace?
austin's LADR reading group
ah
well say you just have a normal eigenspace with eigenvalue λ
then for each vector v in that eigenspace, Tv = λv
so (T - λ)v = 0
v gets killed by T - λ
ah right ok
the presence of (T - λ)^2 or some higher power in the min poly means that things dont quite get killed by a single T - λ
so if the min poly has multiplicity 2 for something, then that root is not an eigenvector?
it means there are eigenvectors with eigenvalue λ, but also something more
oh hm
those "Something more" vectors, would they be vectors in the null space of the operator?
they would be in the so called generalised eigenspace
ker(T - λ)^n for some large n
i guess that's something that is introduced later
probably
the point is that you need to apply T - λ more than once now to kill that subspace
gotcha, interesting
i've just been a bit confused by minimal polynomial because i took some LA course long ago and i remember learning about eigenvectors in terms of the characteristic polynomial but it was long ago and my recollections are pretty vague so the minimal polynomial has been vaguely familiar but also different
say for example (T - λ)^2 was a factor of the minpoly
then there exists a vector w such that (T - λ)w is not zero, but (T - λ)^2 w = 0
so does T^2(w) = λw ?
(T - λ)^2 = T^2 - 2λT + λ^2
ah
call v = (T - λ)w
then (T - λ)v = (T - λ)^2 w = 0
so Tv = λv
you've found a genuine eigenvector
but at the same time, v and w are linearly independent
for if you had c_1 v + c_2 w = 0, then c_1 (T - λ)v + c_2 (T - λ) w = c_2 v = 0
which forces c_2 = 0
and then c_1 needs to be 0 as well
so theres an eigenvector v of eigenvalue λ, while at the same time theres a linearly independent vector w which is only killed by (T - λ)^2 and not (T - λ)
i see
are these w vectors like separate from other eigenspaces associated with other eigenvalues?
so with these more generalized eigenspaces can you always build a basis or something?
yes
i see, sounds interesting
so thats the obstruction to finding a basis of eigenvectors
hence, T cannot be diagonalisable
also this seems...oddly nonlinear for LA 😄
studying the action of a linear operator on a vector space is a lot more algebraic in flavour
somehow it boils down to understanding polynomials
i think axler was hinting at some point at identifying linear operators to monic polynomials? and how there was a correspondence between the two?
something like the action of a linear operator on a vector space is the same as a F[x] representation maybe
so what's the relationship between minimal polynomial and characteristic polynomial?
the minpoly divides the charpoly by cayley hamilton
i guess if something is diagonalizable then they will be the same? since multiplicity of each eigenvalue will be 1?
the charpoly divides the minpoly^(dimV) for other reasons
only if distinct eigenvalues
oh right
is there a "nice" reason for that other than just knowing they have the same factors and then forcing the factors to be there often enough?
ah so minimal polynomial will just have lower degree than the dim V if something is diagonalizable but some eigenspace has dim > 1 ?
hmmm not off the top of my head
ah sad. sounded a bit like that from the way you phrased it
could probably do something using structure theorem of k[x]-module but i dont want to think about it
understandable
primary decomp
charpoly divides minpoly ^ (max dim of any eigenspace?)
its more like the maximum of (dim V/dim of any eigenspace)
well i will get back to reading, thank you for the help snow, and denascite

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what is r?
try plotting the graph to z = sin(r^2)/r^2, that will help
you can work in the "rz"-plane for this
@small stream Has your question been resolved?
,w plot z = sin(r^2)/r^2
hmm
since r = sqrt(x^2+y^2) then there is a rotational symmetry
cool
i.e this plot can be thought of as a slice, with each slice being identical for any "rotation" about the z-axis
yeah depending on the rotation so to speak
Also i'm really trying to understand this
btw can we draw this by hand
yeah as a rough sketch i suppose
what about it?
continuity on domain
drawing pictures might help, all theyre saying is that a open subset of D is an open set which is contained in D, i.e if you take any open set in R^2, and intersect that with D (assuming D is open here) you will have have an open set contained in D
the thing you marked with green is not really about that
so youre asking about the first part?
i feel like i cannot understand the whole part lol
ye i cant imagine the pic in mind
okay there is really seperate parts here imo
let's start with the open subset, do you know what an open set is?
doesnt have to be an open disk
you mean it deosnt have to be a circle?
yeah, why should it?
ye i see
open sets generalizes the notion of open intervals in R
i.e (0,infty) and (0,1) etc
are open sets
why (0,1] and [0,1] etc isnt
so as it's written there
an open set E in R^2 is one where for each point p in E there exists some open disk around p which is still contained in E
basically if we go back to R
pick any point in (0,1)
notice how you can always find a (open) neighborhood around that point so that it's contained in (0,1)
this is why drawing crude examples is good
also if it helps
the complement of an open set is closed
so far i can understand
ok so good, so an open subset is clear now too?
yes
cool
so back to the first part, they are saying that a function f from D to R is continuous on D iff the preimage of any open subset of R is open
you're cool
alternatively, you can phrase it as this, if f is continues from D to R, and we let M be a subset of R, then it follows that if M is open then the preimage of M is open aswell
i.e the idea here is that continuous functions preserves open sets (through the preimage) and the same is true for closed sets
image to illustrate that this def spot discontinuous functions (function from R to R)
this is true if we're dealing with a closed set aswell
it's not the fact that you map an open set to an opet set
Then why did they keep emphsising open set all the time
closed sets sort of come for free if you take the complement
and i guess it might be easier to show it for open sets sometimes(?)
It is to indicate closure (i.e. remains inside) within the set family
An open set is defined with respect to being a member of a set family
they dont deal with topogoly yet in that sense
can we say that a function f from D to R is continuous on D iff the preimage of any close subset of D is closed
so i dont think it helps
You can just call it set in my_magical_set_X
yeah
or alt. if f is continues from D to R, and we let M be a subset of R, then it follows that if M is closed then the preimage of M is closed aswell
you get this fact for free by just considering the complement of M in the case that M is open
Closed by @small stream
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oh and it should be closed subset of R
not D, sorry
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how can i do this?
f(g(x)) is just the intersection of both functions
but f(x) and g(x) dont intersect
do i start by finding the domain for each functino separately
yes
and for f, find the range too
Yup!
[0,9] for f(x)
[-2,2] for g(x)
the arrow on f(x) means infinity
uh
so [0, +inf) instead
yes
yup
so what should i do now
Find the intersection of their domains!
the basic explaination is to find f(g(x)) you first need to know both f(x) and g(x), so where are those values defined?
ive never learned about this so i might be wrong
You are right.
thanks
so im finding [0,inf) U [-2,2] ?
🏳🌈f(why am i here )= idk
the domain of $f(g(x))$ should be, if $f:D_1\to E_1, g:D_2\to E_2$ then the domain of $f(g(x))$ is $D_2\cup (E_2\cap D_1)$
trash latex
fr
ZeroMemory
as first, for x, g(x) should be defined
is it -2 <=x<=2?
and then, we have output of g(x) and for this g(x)=y, f(y) should be defined
yes, because for $g(x)$ it is defined for $x\in[-2,2]$, and the range of g is $[0,4]$ where f is defined for here
ZeroMemory
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thanks
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can someone check my work
@vital tartan Has your question been resolved?
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<@&286206848099549185>
@tardy fox Has your question been resolved?
label angle APB x and label angle QPB y and go from there
Sure?
I have to prove that angle AQB- angle PQA = angle AOB where o is the centre right?
yes
I still dont see it...
Am i missing some theorem?
what do you have so far?
Being honest nothing
I am missing some theorems for sure
First of all i have no clue how to develop a relation
so far all you need to do is label angles and do basic angle chasing to label the rest of the diagram
But you will get stuck after labeling angles in triangle APQ
Theres nothing else you could
and there's more
Like?
I got angles around point Q
can you show me what you have?
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did you label AQB
AQB is 90+x-y
so what's AQB - PQA?
2x
Not exactly...
How do i prove AOB is 2x?
OH
OMG
TRANK YOU
THANK YOU
I lovee you
yw 🎉
Bro can i send you friend req
yeah i don't mind
I mean i wont disturb you unless its a really annoying problem
Thank you so much
If i would have spotted that AOB is twice that of APB i would have maybe tried angle chasing But i didbt see motivation
Thank you so much
Sorry for being annoying
.close
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Calculate the number of quadrantal angles that exist in the interval from 15π/4 rad to 29π/4 rad.
Yes ur correct
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I need help with section c. I've tried multiple times I keep getting it wrong
I'll do :
ln 8/5.52/0.0222
I have even tried
5.52 * 1.0222^t=8
Please @me when you see this
are you including the entire thing in ln()?
because 0.0222 shouldn’t be included in that
well let’s write the steps
8 = 5.52 e^(0.0222t)
8/5.52 = e^(0.0222t)
ln (8/5.52) = ln (e^0.0222t)
next?
So the answer is 16.7?
yup
And next I have to find the equation for the doubling time
Lemme show you
D. Would it be ln 16.7^2/6.3
Or would it be ln 8^2/6.3
uhh what’s doubling time again?
sry it’s been a minute lol
may want to wait for someone else
Sure ^^
Should I @ a helper
<@&286206848099549185>
Please @ me when you see this I'll be off discord
Is there a doubt?
Im not sure the proper equation,
Determine the expo function?
ah it's d then
This is what I thought the equation would be
I'm not 100% positive though
Or this
5.52 and doubling time would be to find such t where you get 2 * 5.52, no?
to my knowledge doubling time is just looking for the such value t where the exponential growth doubled
𝔸dωn𝓲²s
𝔸dωn𝓲²s
Now you can do what next
Divide again
Ln 2/ln 1.0222?
so after 31 years and a half population doubled
,, P(t) = 5.52e^{0.0222t}
𝔸dωn𝓲²s
so that's the right one right
i took it from here previously lol
anyway
,w 5.52e^(0.0222t) = 2 * 5.52
31 or 31.2 idk
bruh
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is it possible to find p(a intersection b) with this info?
you can find Pr(A and not B) which then should be easy to get just the intersection of a and b since you know Pr(A)
aha i have remembered the formula incorrectly, i do that a lot, sorry
thought A would be on the bottom
bruh
i figured it would be easier to send the first thing
but it seems thats not the case
maybe im doing something wrong
i had x = P(A and B) / y
so i needed P(A and B)
y = P(B) = P(A ∩ B)/x
Now the q ist can we rewrite P(A ∩ B) in terms of other information
we dont know if they are independent events so we assume they are not
I think Bayes could help
Bayes?
=0.3 P(B | A)
P(B | A) = [P(B) - P(B | A') * P(B')]/P(A)
Let's try again
We know some stuff so I plug it in
P(B') = 1 - P(B)
i dont really get where this came from
That's the Law of Total Probability
.
ok
xy + 0.55 - 0.55y = 0.3
xy - 0.55y = -0.25
y(x-0.55) = -0.25
ye
x-0.55 = -0.25/y
no
y= -0.25/x-0.55
y= -0.25/(x-0.55)
sounds good
,w 5/9
ye
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Anyone cracked jee here?
you mean cracked at jee?
ok
i don't know about jee that much
why is your nickname "jee" anyway
just because that's what you got discord for?
Ok
@proper grove Has your question been resolved?
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Hello can anyone tell me how i can find the distance between these 2 points? Would it just be the circumference *2/3?
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riyobi
@small stream Has your question been resolved?
@small stream Has your question been resolved?
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So in maths for example the derivative of x^2 we just evaluate from the limit proof for a arbitrary small value h and if we just take at x= 1 and h=0.25 it just stands for all x the derivative right ?
if u take x = 1 and h = 0.25, u get an approximation for the derivative of x^2 at x=1
by evaluating the ratio
$f'(1)\approx\dfrac{f(1+0.25)-f(1)}{0.25}$
SilverSoldier
@dense beacon Has your question been resolved?
So to proof the theorem of derivative we can evaluate it at any point we’re interested
The only prerequisite is to be a non stochastic function
Right
?
@unreal oxide
$f'(1)=\lim_{h\to0}\dfrac{f(1+h)-f(1)}{h}$
SilverSoldier
if u want the derivative at 1, u evaluate the limit above
if u want the derivative at 2, u evaluate $f'(2)=\lim_{h\to0}\dfrac{f(2+h)-f(2)}{h}$
SilverSoldier
if u want it at $x$, its $f'(x)=\lim_{h\to0}\dfrac{f(x+h)-f(x)}{h}$
SilverSoldier
Yes I mean I want to prove that the difference is 2x for any x.
So I just have to evaluate the function at any arbitrary point with a small displacement point right ?
@unreal oxide
I just want to derive to prove this in general
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why this set is closed ?
Can you give more context? What is G? any topological group? What is a?
oh yeah sorry i forgot
G is a topological group, x \in X which is a topological space, a is the action of the group to X and its continuous
hmm..
Why Fn,m is Closed
Definition: The set Fn,m consists of elements g in G such that if x is close to x0, then a(g, x) is close to a(g, x0).
Continuity: The function a(g, x) is continuous, meaning small changes in g and x result in small changes in a(g, x).
Sequence Convergence: If a sequence (g_k) in Fn,m converges to g, the condition that defines Fn,m still holds due to the continuity of a.
Sorry if I'm wrong, it was just a quick check
Ok, I assume you mean X is a metric space. If you can use g \mapsto d(a(g,x), a(g,x0)) is a continuous map for a fixed x and x0, then the goal is the show F_{n,m}^c is open. If g is not in F_{n,m}, then there is an x with d(x,x0)<2^{-n} and d(gx,gx0)>2^{-m}. Informally speaking, small change in g doesn't change the fact that d(gx,gx0)>2^{-m}, this should be enough to find a small neighbourhood around g not in F_{n,m}.
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no problem!
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hello
yeah?
but in the marking scheme it isnt
like it is not -cosu
so then the marking scheme is incorrect?
indeed it is
man i knew it
im over here trying to reason with myself whether or not i did something wrong
smh
so then the fina answer would be uhh
1 sec
oki perfecto
yeah
oh yh they just factored some stuff out
i c
ok thank you so much have a great day!
np you too
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probability of winning a game is 0.5. a person plays the game 3 times. what is probability that his second win occurs at 3rd game.
will it be 2C1 (1/2)¹×(1/2)¹ for first two matches? using binomial distribution
and 1/2 for 3rd match?
so (2×1/2×1/2)×(1/2)=1/4
first part, of only 1 win in two matches using binomial gives probability 1/2
but if question needs only 1 win in first two matches, then it could be WL or LW. and we do it manually, so it would be 1/2×1/2 (WL) + 1/2×1/2 (LW), which eventually also gives 1/2
is my interpretation of logic and interpreting cases of binomial correct here?
because I was getting so confused
i just need someone to read my message and tell me if I'm right or wrong <@&286206848099549185>
second win occurs at 3rd game.
it means that there must be one winning during the first 2 games
right?
i thinks yr right.
Another argument is that there are two outcomes in our event, namely (WLW) and (LWW), and in total, there are 2^3 outcomes in the sample space. So 2/2^3 = 1/4.
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clikz
Compile Error! Click the
reaction for more information.
(You may edit your message to recompile.)
Wait i just realized idk if they want me to find the x intercept or the y intercept
or both?
Yeah I'd go with both. Your method is fine
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,w maclaurin series x^x
why does WA give a result with logs?
because it didn't do what you asked
oh it says there that it's a Puiseux series. but does a maclaurin/taylor series exist for x^x?
,w taylor series x^x at x=2
interesting
ig it's because x^x is undefined within reals almost everywhere for x<0
,w taylor series x^x at x=1
,w taylor series x^x at x=0.02
,w taylor series x^x at x=0.00001
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Hello, I'm learning probability and got stuck on this example. I understand the function of max and min but I'm confused about their outputs and input
here is the graph it mention (fig. 1.7.)
here it says the min is 2. I understand this as the set contain minimum 2 elements. right?
so you mean that the min element value is 2?
what about A?
the max which mean no element is bigger than what?
it says m = 1, 2, 3 ,4
how?
so?
oh
so like { 1 }, { 1, 2 }, {1 , 2, 3} ...
?
but what the set looks like?
I'm sorry but what does that mean ? ordered pairs?
so far I understand that A would be like { (X, Y) ... } like if m = 1 then { (1, Y) }?
how?
oh
okay
yeah I can see that. umm I'll try and come back.
is there a limit on the channel?
oh okay I'll try to solve it and come back
thank u
is this close?
Given A = { Max(X, Y) = m };
And B = { Min(X, Y) = 2 };
We can say the value of each set as
m = 1
A = { (1, 1) } And B = { (2, 2), (2, 3), (2, 4), (3, 2), (4, 2) };
m = 2
A = { (1, 1), (1, 2), (2, 1) } And B = { (2, 2), (2, 3), (2, 4), (3, 2), (4, 2) };
m = 3
A = { (1, 1), (1, 2), (2, 1), (1, 3), (3, 1) } And B = { (2, 2), (2, 3), (2, 4), (3, 2), (4, 2) };
can you write the function?
oohh
got it
okay now I know what confused me
I misunderstood the max and min function I thought the max set a boundery like m = 3 mean 1, 2, 3. and m = 4 is 1, 2, 3 ,4
how about this
m = 1
A = { (1, 1) }
m = 2
A = { (1, 2), (2, 1) }
m = 3
A = { (1, 3), (3, 1), (2, 3), (3, 2) }
Oh same I forget them
yeah I got it
thank u again
I'll close the channel I solved it
.close
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help
whats your problem?
what are you confused by
this one, i understand it a little but i just need some bit of help.
solving part
well, the form for a complete square is x^2 + 2ax + a^2
take for example the first question
ok
you can see that 2a = 4
right?
(you dont have to mind the + - signs in front of ax)
oh



