#help-41

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tepid girder
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somewhere

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I am so damn confused

frozen horizon
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What is this integral

tepid girder
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yash bro

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I get it

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but I have so many doubts

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so it is advisable for me to do this tomorrow

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bgn brother

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šŸ’Ŗ

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tysm for help tho

teal oxide
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gn

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no worries

frozen horizon
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If you're going can you use .close

amber waspBOT
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@tepid girder Has your question been resolved?

tepid girder
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yh

amber waspBOT
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amber waspBOT
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amber waspBOT
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Please don't occupy multiple help channels.

ripe gull
#

<@&268886789983436800>

amber waspBOT
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paper kindle
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i have no idea how to do this.. pls help

tepid verge
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You can draw pictures

paper kindle
tepid verge
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I don't know who m is

tulip pumice
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Slope probably

tepid verge
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So explicitly your two points are $(y_1^2/4, y_1)$ and $(y_2^2/4,y_2)$ right?

paper kindle
grizzled pagodaBOT
tepid verge
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Slope of the line defined by what two points, each of those and the origin?

tulip pumice
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A chord will be considered untill it is inside the parabola right ?@tepid verge

tepid verge
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Oh I see, sure

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So it's the slope of the chord

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What if the chord is vertical?

tulip pumice
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Yeah

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Would make sense

paper kindle
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m is 4/3

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the slope

tepid verge
paper kindle
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wait ill solve and send a pic

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till what i have done

tepid verge
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Or like, you know, the region containing the focus is

paper kindle
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I have no idea like if this is how to proceed but this is how I did.. and idk what to do anymore and this is the slope of the chord from my side

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@tepid verge

tepid verge
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Oh interesting, ok so that is indeed the slope. I didn't expect it to be constant

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So now you can designate one of y_1 or y_2 as your independent variable, representing one in terms of the other

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Then you can define a line L, the chord of the two points, in terms of your single independent variable

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And then, get the distance between the origin and L, and minimize it

paper kindle
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k lemme try

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the line isnt fixed cuz one of the y is variable so the 1st option is incorrect?

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this is a multiple correct que btw

tepid verge
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I assumed this was calculus

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You have a function D(y), measuring the shortest distance between the origin and the line L(y), and you want to minimize D(y)

paper kindle
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it could be solved by calculus but we haven't been taught that yet

tepid verge
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Ok word, so unless if the distance function happens to be constant too, then I agree, it's not necessarily 9/20 because the line can change

paper kindle
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yeaa

tepid verge
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I mean really you could choose y_1 = 0, y_2 = 3

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That line contains the origin, so the shortest possible distance is 0 after all

paper kindle
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how do u know the line contains origin

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pls explain

tepid verge
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If y_1 = 0, then x_1 = y_1^2 / 4 = 0^2/4 = 0, so (x_1, y_1) = (0,0) is on the line

paper kindle
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ohh

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what abt option 2

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how to see if thats correct or not @tepid verge

tepid verge
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What is a normal?

paper kindle
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A normal to a parabola is a straight line perpendicular to the tangent line at a specific point on the parabola, passing through that same point

tepid verge
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Was that in your own words or copypasted?

paper kindle
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mine

tepid verge
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Ok, I had to ask

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Well, how do you define the line normal to a parabola at an arbitrary point?

paper kindle
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whats an arbitrary

tepid verge
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arbitrary as in, its selection has no significance

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I say R = (x_3, y_3) is a point on the parabola

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with no further conditions, R is arbitrarily chosen

paper kindle
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ohh?

tepid verge
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It's not a math term

paper kindle
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ohk

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so how to proceed now? u have any idea for the 2nd option?

tepid verge
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I already asked a question, how do you describe the line N normal to the parabola at a given point R?

paper kindle
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its perpendicular

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to the tangent

tepid verge
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Can you give an equation for this line N?

paper kindle
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at r

paper kindle
tepid verge
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Then do so for your two points and explain, if you could

paper kindle
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its y= mx-2am-am^3

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this is the slope eqation for normal

tepid verge
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So is that also just a given equation or did you derive it at some point?

paper kindle
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its a given

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like its the standard noraml equation to parabola

tepid verge
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Is it given when the parabola is of a particular form?

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i.e. when does this hold true?

paper kindle
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um

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no

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it hold tru verytime most prolly cuz its the standard slope form

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of normal to parabola

tepid verge
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y = ax^2, y = ax^2 + bx + c?

paper kindle
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y = ax^2

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only

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not the second one

tepid verge
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This parabola is different, this is x = y^2/4

paper kindle
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no its y^2=4x which is the same thing as x = y^2/4

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its in the form of y = ax^2

tepid verge
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It's not exactly the same because the roles of x and y are switched

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not ax^2, it's ay^2

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so there might be some adjustments needed

paper kindle
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yea sorry

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mb

amber waspBOT
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@paper kindle Has your question been resolved?

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hidden patrol
#

Hello! I've been experimenting with procedural terrain generation algorithms, and while doing so, I stumbled upon a problem that I am probably not capable solving without some help.
Consider a Voronoi graph generated from sites on a square lattice. This graph would just be all square tiles, but if we apply some perturbation (random offset) to the sites, we get a much more chaotic looking Voronoi graph -- see first attached image.
Now, the question is, how much can the sites be perturbed, such that the sites keep their original neighbors? In other words, what shape is the boundary of positions where a site is guaranteed to neighbor another site that it is connected in the square lattice?

hidden patrol
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Consider the following sites A, B and C. The yellow square would be the boundary of valid positions for the vertex X of the Voronoi graph. X cannot go below the bottom yellow line, because if there was another site D below A, it could cause the edge between B and A to vanish.

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This applies to all other directions as well, hence the orange boundary being a square.

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If I knew the position of B and C, I could compute the area where A could be placed -- here the darker regions correspond to those areas computed from the two remaining sites.

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Using the fact that the areas should be symmetric, because the lattice could extend in all directions, I can take the intersection of rotational and reflective symmetries of each area:

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And finally, I can superimpose the areas and intersect them, getting these black boundaries:

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But these boundaries are not a general solution, they are computed from the current positions of the sites.
I would like to figure out the actual boundary, that will guarantee that when I place sites within them, the neighboring sites in the square lattice will remain neighbors in the Voronoi graph.

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The computation of the orange Voronoi vertex X is a mapping from ā„ā¶ to ā„Ā², which makes this problem difficult.

amber waspBOT
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@hidden patrol Has your question been resolved?

amber waspBOT
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@hidden patrol Has your question been resolved?

amber waspBOT
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hidden patrol
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.reopen

amber waspBOT
hidden patrol
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Update: I have no proof but I have a hunch this is the solution. It's too perfect not to be it. Clueless

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.close

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blazing spindle
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"Can someone please tag the bot or send a link for the 'Bartle Real Analysis' solutions PDF? I can't find it in the search

amber waspBOT
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round zodiac
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Could anyone help me with this problem?

amber waspBOT
round zodiac
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I'm stuck in part a, I've been trying to see something like f(x+a)=f(x) somewhere by going from one integral to the other

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but I'm gettng that integral of f(x+b) from 0 to a is equal to integral of f(x) from b to b+a

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but the period is a

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not b

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and cannot use change of variable or sorts, just fundamental theorem of calculus and definition

terse rivet
grizzled pagodaBOT
round zodiac
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oh right, I'm so dumb

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.close

amber waspBOT
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leaden stone
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i am dumb

amber waspBOT
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cedar tundra
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the lesson is about finding the area of a triangle with this method
I'm wondering how the j became positive or this is all an error

fluid ridge
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it's probably an error

cedar tundra
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.close

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cedar tundra
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thx

amber waspBOT
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keen pawn
amber waspBOT
keen pawn
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I'm kind of confused here

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The likelihood function is

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$\prod_{i=1}^{n} (1- \theta)^{x_i-1} \theta= \theta^{n} (1- \theta) ^{\sum){i=1}^{n} x_i -n}$

grizzled pagodaBOT
keen pawn
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And sure , we can maximise its log

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$n \log(\theta) + (\sum_{i=1}^{n} x_i -n ) \ln (1- \theta)$

grizzled pagodaBOT
keen pawn
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so $\frac{n}{ \theta} = \frac{ \sum_{i=1}^{n} x_i -n}{ 1- \theta}$ is needed

grizzled pagodaBOT
keen pawn
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so $\theta= \frac{n} { \sum_{i=1}^{n} x_i}$

grizzled pagodaBOT
keen pawn
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unless I' tripping?

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but I don't see what this has to do with the factorisatioon theomr

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Like this suggests \sum x_i -n is sufficient too, but?

vernal bobcat
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Or just the sample mean

vernal bobcat
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What does the factorisation lemma say

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@keen pawn

keen pawn
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oops

keen pawn
keen pawn
vernal bobcat
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Okay

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So $\theta^n \exp((\sum x_i -n)\ln(1-\theta))$

keen pawn
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sure

grizzled pagodaBOT
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frosst

vernal bobcat
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Oh no that’s not right is it

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How do you pull the 1- Īø out

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Exp first?

keen pawn
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where

keen pawn
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I took the log

vernal bobcat
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Yeah

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Yeah but there’s a way to turn a^b into something * e^b

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I’m pretty sure

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I’m so dead rn I can’t think

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lna * e^b maybe

keen pawn
vernal bobcat
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ae^b?

keen pawn
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lemme just verify

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one minute

vernal bobcat
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Hold up a^b = exp(ln(a^b)) = exp(blna)

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Okay good

keen pawn
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$e^{ b( \ln(a)-1)}$

vernal bobcat
grizzled pagodaBOT
vernal bobcat
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Where did this -1 come from

keen pawn
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a^b=xe^b

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bln(a)= b+ ln(x)

vernal bobcat
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Okay whatever it doesn’t matter

keen pawn
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ln(x)=. b(ln(a)-1)

keen pawn
vernal bobcat
grizzled pagodaBOT
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frosst

vernal bobcat
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With $T(x) = \bar x$

grizzled pagodaBOT
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frosst

keen pawn
vernal bobcat
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Why did you differentiate and set to zero

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That’s for part 2

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First you need to show it’s sufficient

keen pawn
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okay, so overline{X} is a sufficient stat

vernal bobcat
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Oh why do they want to maximise the log

keen pawn
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yeah

vernal bobcat
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Maybe it’s just giving you some hints

vernal bobcat
vernal bobcat
keen pawn
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it does yeah, which is why I was trying to figure out what I did wrong

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because I'm getting 1/overline{X}

vernal bobcat
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Oh there’s also a theorem for this

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Your mle becomes a function of a sufficient statistic

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So you can see mle of Īø is a function of xbar

keen pawn
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I see

vernal bobcat
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That’s like the hint to be oh look for the xbar for factorising

keen pawn
#

got it

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thanks so much !

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.close

amber waspBOT
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vapid portal
#

Hello

amber waspBOT
vapid portal
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i had a problem in

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how do you integrate

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tan inverse (1-x/1+x)

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like integral of tan^-1(1-x/1+x)

tepid verge
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all you really do is use some of the integration tricks you've stored

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here's what I thought: the derivative of arctan(-) is algebraic, so why not try ibp?

magic lily
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put $x = tan{\theta}$

grizzled pagodaBOT
#

parthisjoking

magic lily
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the inside becomes
$\tan({\frac{\pi}{4}-\theta})$

grizzled pagodaBOT
#

parthisjoking

magic lily
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its ez after that

magic lily
amber waspBOT
#

@vapid portal Has your question been resolved?

vapid portal
magic lily
vapid portal
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How was your paper bro??

magic lily
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i did the 1/x^1/2 + x^1/3

magic lily
vapid portal
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how to do that

vapid portal
magic lily
vapid portal
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F

magic lily
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yes

hot lagoon
magic lily
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or

vapid portal
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Ohhh

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Bhai mai to kuch bhi krke aayega isme 😭

magic lily
vapid portal
#

ilate laga diya or shit

vapid portal
magic lily
vapid portal
#

but idk click hi nahi hua

vapid portal
magic lily
vapid portal
#

Vo sin^2026 ka ans π/2 tha na

magic lily
#

everything was ez

vapid portal
magic lily
vapid portal
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Konsa tha

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Tera

magic lily
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regionwise diff hota h paper

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set3

vapid portal
#

Ohh

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Mera set 1

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Nahi set 3

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Sorry

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Mera bhi

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Abe par kaise

amber waspBOT
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quartz saddle
#

In my linear algebra book (Local university) they are not having such topics...i don't know why

quartz saddle
#

Can anyone tell me which book contains these topics?

pallid canopy
#

use index

quartz saddle
#

Thank you very much

#

.close

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surreal vigil
#

Is there a good way to approximate the piecewise (z<0 : x else y) with polynomials, other than lagrange?

amber waspBOT
#

Please don't occupy multiple help channels.

surreal vigil
indigo cloud
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well there are lots of different ways to compute the interpolating polynomial but it will still end up the same anyway

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fundamentally the piecewise probably isnt continuous which will fuck up your approximation anyway

surreal vigil
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Given it’s continuous and so is its derivative

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But higher degrees no

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I can’t taylor expand bc it’s a piecewise but I’d prefer a nonsampling method if at all possible

shy kraken
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Why cant u taylor expand?

indigo cloud
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often chebychev nodes are optimal for interpolation

surreal vigil
# shy kraken Why cant u taylor expand?

because taylor expansion relies on d derivatives, but piecewises break that. so the approximations using the 2nd order derivative and so on will break completely at the piecewise switch

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and I need this to be approximated solely with additions, subtracts, multiplications and divisions, hence a polynomial

indigo cloud
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sounds like xy

shy kraken
indigo cloud
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divisions are stronger than just polynomial

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there are things like pade approximations but I dont know how well those do here either

surreal vigil
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ideally as few divisions as possible** since each division requires an LU of a matrix of functions

indigo cloud
#

the heck are you doing

surreal vigil
# shy kraken Can u send the problem maybe that helpd

it's a personal project, I am working with a system of nonlinear ODEs that I am putting through spectral transforms, which means I have nonlinear functions of weighted sums of basis vectors, and need to approximate those as nonlinear functions times each basis vector separately so I can turn it into a system of equations

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unfortunately piecewise functions have been a problem since it seems I must sample, and I really want a neater way than that

shy kraken
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Sry for bad engliscj

surreal vigil
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and I'm using simplified models to boot

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I expect the real models are significantly worse

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the piecewises come from transistor equations in this case

indigo cloud
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btw spline interpolation is also generally good

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wait, that's just piecewise again

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nvm

shy kraken
surreal vigil
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as far as I know, everything is feasible / I know methods / I have seen methods for resolving every problem I know of in implementation

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technically I can approximate piecewises with lagrange

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it's just a really messy solution and I really want something better

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but yes in the bases I'm working with, only addition, subtraction, multiplication and division are defined between my vectors

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so e^(vector) needs to be approximate through 1 + vector + vector^2/2! + ...

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though I can improve that by extracting the mean from my vector, and expanding around that instead of 0 (for various reasons, that does work)

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but yeah I checked, spline won't work because on evaluation, I won't be able to know which spline to use (by piecewise) as I won't have real values, but spectral coefficients instead (which corresponds to not being able to split the output into basis vectors)

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padƩ won't work because piecewise can't be approximate by power series, but I should keep that in mind for functions that can

surreal vigil
# shy kraken How far are u into this project

oh you meant in context with real models — circuit simulation doesn't typically use real models all the time, you use simplified models for standard simulation (standard parts work very hard to correspond to standard behavior), then real models when doing delicate stuff, ie when you're doing ASIC design with analog transistors that's when the models are basically maxwell's laws + numerical interpolations from measured data, instead of simplified piecewises

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"simplified" models like that I am using are good enough most of the time

surreal vigil
amber waspBOT
#

@surreal vigil Has your question been resolved?

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lime ingot
#

can i get help man

amber waspBOT
lime ingot
#

i have no clue whats goin on here at all

hidden narwhal
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a or b

lime ingot
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can someone explain this to me intituitively

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everything

hidden narwhal
#

so you havent solved this yet?

lime ingot
#

we went from finding tangent planes to this all of a sudden and for the life of me im tryuna understand the correlation here

lime ingot
hidden narwhal
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$$dV = \frac{\partial V}{\partial r} dr + \frac{\partial V}{\partial h} dh$$ this?

grizzled pagodaBOT
lime ingot
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not dV just dV/dr and dV/dh

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i have no idea what the intuition is tbh

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<@&286206848099549185>

hidden narwhal
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well this means if you want to build a cylinder, you have to add "stuff" in two directions, which are outward (radius) and upward (height)

pastel salmon
#

Sorry can’t help, too advanced

hidden narwhal
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imagine if you have a finished soda can, if you want to make it thicker you wrap around it a layer, that area of that side is the circumference 2 pi*r times the height h

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while the thickness is dr

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and you know that the intuition here is volume = thickness multiply area

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but if you want to make the can taller, you add a thin disk both to the top and bottom

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the thickness here is now dh and area of top of circle is pir^2

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thats how i imagine of, idk if this helps

amber waspBOT
#

@lime ingot Has your question been resolved?

lime ingot
strong pulsar
hidden narwhal
#

Thank you for reminding us lunar

amber waspBOT
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@lime ingot Has your question been resolved?

amber waspBOT
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wanton charm
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could someone help me with this question?

winter badge
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work out the first 6

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and see what happens...

deep edge
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6 ?

winter badge
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well I mean youll see it at 5

deep edge
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I would’ve said 5

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Yeah

coral wigeon
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compute as many as you need to before you see what’s going on

winter badge
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^

wanton charm
wanton charm
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so after n! where n > 4 all compute to 1

winter badge
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=4...

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MenheraPat4 but yes

wanton charm
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ok thanks

deep edge
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Yup

wanton charm
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so final is i + 95

deep edge
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Yup

wanton charm
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thanks

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.close

amber waspBOT
#
Channel closed

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amber waspBOT
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lime ingot
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can i get help for this bruh

amber waspBOT
lime ingot
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how does this relate to tangent planes

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why do we care about the total differential here

amber waspBOT
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@lime ingot Has your question been resolved?

lime ingot
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<@&286206848099549185>

granite kiln
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id imagine

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this has nothing to do with tangent planes

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and we do not care about the total derivative

lime ingot
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because in reality it lowkey does

granite kiln
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isnt it just like

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replace r and h with 1.05r and 1.05h

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and compare that to the volume of the cylinder

lime ingot
granite kiln
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šŸ¤·ā€ā™‚ļø

fierce linden
lime ingot
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and apparently thats the partial derivatives

fierce linden
lime ingot
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id appreciate it

fierce linden
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for notational convenience lets go back to singlevar. at the end ill just outright state the multivar analog of our results bc its proof is similar

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we have a function $f:\bR\to\bR$ and an input $x\in\bR$ with output $f(x)$. suppose that we measure the input with error $h$. when we try to record $f(x)$, this error causes us to instead record $f(x+h)$, so we want a formula that expresses the induced error in the output
$$f(x+h)-f(x)=\text{ error term that is accurate for small }h$$
equivalently
$$f(x+h)=f(x)+\text{ error term that is accurate for small }h$$

grizzled pagodaBOT
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ćƒ­ć‚±ćƒƒćƒˆćƒ»ć‚øćƒ£ćƒ³ćƒ—

fierce linden
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@lime ingot all clear?

lime ingot
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so how would this apply here

fierce linden
lime ingot
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no worries

fierce linden
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the thing is what i just wrote is unrigorous. to be rigorous ill use little o notation. are u possibly familiar with it?

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@lime ingot

fierce linden
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'little o notation'

lime ingot
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ohh

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yes

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like x_0

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?

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yeah

fierce linden
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no

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ok ill assume u dont know and define it

lime ingot
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okay

fierce linden
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given functions $F$ and $G$ and a point $h_0$, we say "$F(h)$ is little o of $G(h)$ as $h\to h_0$" if
$$\lim_{h\to h_0}\frac{F(h)}{G(h)}=0$$
when this is true we can alternatively write
$$F(h)=o(G(h)) \text{ as }h\to h_0$$
the bottom equality is not literal equality. its a way to say that $F$ is in a "class" of functions, and that class is defined by vanishing when we divide by $G$ and take the limit $h\to h_0$

lime ingot
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oh okay

grizzled pagodaBOT
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ćƒ­ć‚±ćƒƒćƒˆćƒ»ć‚øćƒ£ćƒ³ćƒ—

fierce linden
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@lime ingot clear?

lime ingot
fierce linden
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sry but i need to take another detour before rigorously rewriting my intro

lime ingot
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its okay but

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can i tell you where im at right now with the geometric interpreation so you know what to write

fierce linden
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when i mention a linear function, it doesnt mean $g(x)=Ax+B$ from high school. it means a function $g$ that "respects" addition and scalar multiplication of its inputs. the former means $g(a+b)=g(a)+g(b)$ for all inputs $a$ and $b$. the latter means $g(ca)=cg(a)$ for all scalars $c$ and inputs $a$

grizzled pagodaBOT
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ćƒ­ć‚±ćƒƒćƒˆćƒ»ć‚øćƒ£ćƒ³ćƒ—

lime ingot
fierce linden
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yep thats the correct visual

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and the boxed result will follow from my derivation

lime ingot
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so far i understand the labels except for one thing which is the total derivative being expressed as the partials in the x and y direction

fierce linden
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it will come once i state the multivar analog of my results

lime ingot
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okay

fierce linden
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now ill state the rigorous version of my goal

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unrigorously we want
$$f(x+h)=f(x)+\text{ error term that is accurate for small }h$$
rigorously we define a linear function $df(x):\bR\to\bR$ (the $(x)$ in the function name denotes that its "attached" to the input $x$) such that
$$f(x+h)=f(x)+df(x)(h)+o(h) \text{ as }h\to0$$
we desire this so that we can informally write
$$f(x+h)\approx f(x)+df(x)(h) \text{ for small }h$$
our goal is to find an explicit formula for $df(x)(h)$ for all $h$, so that the entire equation above (called the linear approximation of $f$ at $x$) is made explicit

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@lime ingot clear?

grizzled pagodaBOT
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ćƒ­ć‚±ćƒƒćƒˆćƒ»ć‚øćƒ£ćƒ³ćƒ—

lime ingot
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for now is there like a simple way to understand this because i have a test tmrw so i think the best option is to let go of understanding the concept for now

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not the best thing but i have no other choice tbh

fierce linden
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ik its not visual friendly, its just total differentials rigorously come from bashing real analysis

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for now if u just bear with me and blindly accept the above goal of linear approximation then i guarantee the rest is mostly algebra and standard calc

fierce linden
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ill recap the goal that youve blindly accepted. attached to $x$ we define a function $df(x):\bR\to\bR$. we impose that $df(x)$ is linear and that it satisfies
$$f(x+h)=f(x)+df(x)(h)+o(h) \text{ as }h\to0$$
our goal is to find an explict formula for $df(x)(h)$ for all $h$

grizzled pagodaBOT
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ćƒ­ć‚±ćƒƒćƒˆćƒ»ć‚øćƒ£ćƒ³ćƒ—

lime ingot
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alright 😭

fierce linden
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now my final detour.. is a relatively straightforward result from linear algebra (im aware youve probably not taken it)

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the only linear functions $\bR\to\bR$ are constant*h. in other words if $g:\bR\to\bR$ is linear then there exists a constant $c$ such that $g(h)=ch$ for all $h$

grizzled pagodaBOT
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ćƒ­ć‚±ćƒƒćƒˆćƒ»ć‚øćƒ£ćƒ³ćƒ—

fierce linden
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this fact tells us that there exists a constant $c$ such that $df(x)(h)=ch$ for all $h$. we are just left to find $c$

grizzled pagodaBOT
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ćƒ­ć‚±ćƒƒćƒˆćƒ»ć‚øćƒ£ćƒ³ćƒ—

fierce linden
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now lets do some algebra and calc

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plug in the above fact to get $f(x+h)=f(x)+ch+o(h)$

grizzled pagodaBOT
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ćƒ­ć‚±ćƒƒćƒˆćƒ»ć‚øćƒ£ćƒ³ćƒ—

fierce linden
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$f(x+h)-f(x)=ch+o(h)$

grizzled pagodaBOT
#

ćƒ­ć‚±ćƒƒćƒˆćƒ»ć‚øćƒ£ćƒ³ćƒ—

fierce linden
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$\frac{f(x+h)-f(x)}h=c+\frac{o(h)}h$

grizzled pagodaBOT
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ćƒ­ć‚±ćƒƒćƒˆćƒ»ć‚øćƒ£ćƒ³ćƒ—

fierce linden
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take the limit $h\to0$. recall the definition of little o notation: the $o(h)$ (as $h\to0$) term means that it vanishes if we divide it by $h$ then let $h\to0$
$$\lim_{h\to0}\frac{f(x+h)-f(x)}h=c$$

grizzled pagodaBOT
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ćƒ­ć‚±ćƒƒćƒˆćƒ»ć‚øćƒ£ćƒ³ćƒ—

lime ingot
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im sorry but it doesnt seem like im understanding at all 😭

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the problem is im completely lost when it comes to this

fierce linden
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is there any confusion in the algebra?

lime ingot
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no no its the concept

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i just dont understand why / how tangent planes, are supposed to relate to a freakin error,

fierce linden
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im very close to stating the results

lime ingot
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the book sucks, my professor sucks

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they dont even explain this stuff

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@fierce linden can i ask something

fierce linden
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?

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ill wait for ur question. in the meantime ill state the results

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our equation says $f'(x)=c$. we finally have an explicit formula
$$df(x)(h)=f'(x)h$$

grizzled pagodaBOT
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ćƒ­ć‚±ćƒƒćƒˆćƒ»ć‚øćƒ£ćƒ³ćƒ—

fierce linden
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our results for singlevar:
\begin{enumerate}
\item formula for the total differential $df(x)$ of $f$ at $x$:
$$df(x)(h)=f'(x)h$$
\item formula for error in output caused by error in input:
$$f(x+h)=f(x)+f'(x)h+o(h) \text{ as } h\to0$$
equivalently
$$f(x+h)-f(x)=f'(x)h+o(h) \text{ as } h\to0$$
\item linear approximation of error:
$$f(x+h)\approx f(x)+f'(x)h\text{ for small } h$$
equivalently
$$f(x+h)-f(x)\approx f'(x)h\text{ for small } h$$
\end{enumerate}

grizzled pagodaBOT
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ćƒ­ć‚±ćƒƒćƒˆćƒ»ć‚øćƒ£ćƒ³ćƒ—

fierce linden
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now ill state the multivar analog of the results. their derivation is similar to the singlevar case. note that in the multivar case $x$ and $h$ are vectors and written as column vectors whenever necessary.
\begin{enumerate}
\item formula for the total differential $df(x)$ of $f$ at $x$:
$$df(x)(h)=Jf(x)h$$
where $Jf(x)$ is the jacobian matrix of $f$ evaluated at $x$. \tbf{note the right side is a matrix vector product}
\item formula for error in output caused by error in input:
$$f(x+h)=f(x)+Jf(x)h+o(\norm{h}) \text{ as } h\to0$$
equivalently
$$f(x+h)-f(x)=Jf(x)h+o(\norm{h}) \text{ as } h\to0$$
\item linear approximation of error:
$$f(x+h)\approx f(x)+Jf(x)h\text{ for small } h$$
equivalently
$$f(x+h)-f(x)\approx Jf(x)h\text{ for small } h$$
\end{enumerate}

grizzled pagodaBOT
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ćƒ­ć‚±ćƒƒćƒˆćƒ»ć‚øćƒ£ćƒ³ćƒ—

lime ingot
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okay

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is there any chance you could explain this to me like youd do to a 5 year old

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like these

fierce linden
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in the context of ur problem the volume is a scalar function $V(r,h)$, so its jacobian matrix is
$$JV(r,h)=\m{\pdv{V}{r}&\pdv{V}{h}}$$
unfortunately we recast $h$ as a scalar representing height. we will rewrite the vector $h$ in our results as $\m{dr\dh}$. result (1) says what youve been after the whole time,
$$dV(r,h)(dr,dh)=\m{\pdv{V}{r}&\pdv{V}{h}}\m{dr\dh}=\pdv{V}{r}dr+\pdv{V}{h}dh$$

grizzled pagodaBOT
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ćƒ­ć‚±ćƒƒćƒˆćƒ»ć‚øćƒ£ćƒ³ćƒ—

lime ingot
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idek what a jobean matrix is

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all i know is how to find a tangent plane equation given a multi variable function

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and thats literally ALL i know and can do regarding this material

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thats it

fierce linden
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for a scalar function its just the matrix of partial derivatives (just a row vector)

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if the function has multiple components then its more complicated but we dont worry about it

lime ingot
fierce linden
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plug in the function $V(r,h)$ to result (3) to get the linear approximation of error
$$V(r+dr,h+dh)-V(r,h)\approx\pdv{V}{r}dr+\pdv{V}{h}dh \text{ for small }dr,dh$$

grizzled pagodaBOT
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ćƒ­ć‚±ćƒƒćƒˆćƒ»ć‚øćƒ£ćƒ³ćƒ—

lime ingot
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like given these kinds of problems, im pretty sure theres a memorization way to go about this or something right

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like plugging in stuff

fierce linden
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ur problem says estimate error in the volume. that means plug in V(r,h) into the linear approximation given in result (3) as ive done above

lime ingot
fierce linden
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did u expect any different?

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its consistent with the boxed equation in ur tangent plane picture

lime ingot
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its just not making sense man

fierce linden
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lets say we're looking at a cylinder so $V(r,h)=\pi^2rh$. plugging into my approximation,
$$\text{error in volume}\approx\pi^2hdr+\pi^2rdh\text{ for small }dr,dh$$

grizzled pagodaBOT
#

ćƒ­ć‚±ćƒƒćƒˆćƒ»ć‚øćƒ£ćƒ³ćƒ—

fierce linden
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lastly plug in r and h along with the errors dr and dh

lime ingot
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is that for question 4?

fierce linden
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4 and 5a bc they both ask for error estimates

lime ingot
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yes

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but what about h and r

fierce linden
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weird thing is 4 doesnt give values of r and h

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4 and 5 have different shapes so this is what we apply

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if it wasnt clear, the whole left side is the error in volume

lime ingot
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uh

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what abt r and h

fierce linden
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weird thing is 4 doesnt give values of r and h

lime ingot
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yeah so what do we do about it

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but the thing is in the homework there was an answer

fierce linden
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my most generous interpretation of "maximum possible" is to maximize the error estimate as r and h vary over all values

lime ingot
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i dont think ive ever not understood a topic in math like this

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any advice for the rest?

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🤣

fierce linden
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5b is the exact same..

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it asks for error estimate

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plug function $R(R_1,R_2)$ into result (3). it will look like
$$\text{error in }R\approx\dots\text{ for small }dR_1,dR_2$$

grizzled pagodaBOT
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ćƒ­ć‚±ćƒƒćƒˆćƒ»ć‚øćƒ£ćƒ³ćƒ—

fierce linden
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its late and i need to sleep so let me finish off

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in case u dont go back to reread my derivation, at least memorize the results

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for every problem about error estimates plug the given function into result (3). if ur not sure how, mimic the examples i did above

lime ingot
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ill try my best

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thanks alot for your help

fierce linden
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@lime ingot in theory now u know the full story of total differential, errors, and linear approximation. i did warn it would be wild. i encourage u after the exam to read it back to try understanding as much as u can, and feel free to ask me follow up questions on any part

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have a good one, gl on the exam

amber waspBOT
#

@lime ingot Has your question been resolved?

lime ingot
amber waspBOT
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lime ingot
#

can someone help me understand differentials and approximation

lime ingot
#

like conceptually

#

if someone can help then ill let you know where im stuck on exactly

amber waspBOT
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@lime ingot Has your question been resolved?

amber waspBOT
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@lime ingot Has your question been resolved?

vernal bobcat
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but if we look at first order approximation it's equal

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we only look at linear approximations of the surface (so only up to first order)

lime ingot
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whats the geometric logic behind that

vernal bobcat
#

do you agree that āˆ†z = āˆ†x + āˆ†y?

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well, āˆ†z = āˆ†z_x + āˆ†z_y

agile sun
#

you are basically picking a basis on the tangent plane and using linearity of Df(x,y) to reduce the computation of Df(x,y)(Δz) to a linear combination of Df(x,y)(Δx) and Df(x,y)(Δy)

amber waspBOT
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@lime ingot Has your question been resolved?

amber waspBOT
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orchid patrol
#

how can I obtain 10a? I have $-\frac{\sin^2(x)\cos(x)}{3} - \frac{2}{3}\cos x$ but I don't see what sub I can do

grizzled pagodaBOT
#

BigBen

spiral zealot
#

What's the result in exercise 7 and 8

orchid patrol
stuck flint
pallid canopy
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if not that's fine, just surprising

orchid patrol
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I didn't read your message properly

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your sayign derivte sin is cos

pallid canopy
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d/dx represents the derivative yes

orchid patrol
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I was viewing it as d/dx*sinx

orchid patrol
#

but that is using u sub. the exercise is trying to tell me to use 7 or 8 and from the second part of 8 I have what I wrote but I can't see what trig subs to do from there

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I tried sin^2 = 1-cos^2 x

pallid canopy
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well yea i suggested that before you showed what 7 and 8 were

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i suppose you have to integration by parts on sin^2(x) * cos(x) again using 7 to integrate sin^2(x)

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from 7

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alternatively, you can also use 8 with n=3

orchid patrol
grizzled pagodaBOT
#

BigBen

pallid canopy
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simplify what to that?

orchid patrol
#

so we have $\int \sin^3 x dx = - \frac{\sin^2 x \cos x}{3} + \frac{2}{3} \int \sin x dx$

grizzled pagodaBOT
#

BigBen

orchid patrol
pallid canopy
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are you not able to integrate sin(x) ?

orchid patrol
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I did thats where I had the $-\frac{2}{3}\cos x$

grizzled pagodaBOT
#

BigBen

pallid canopy
#

,w int sin^3(x) dx

pallid canopy
#

did you try using sin^2 = 1 - cos^2

orchid patrol
#

ye thats how I turned the other fraction into $\frac{-\cos x - \cos^3 x}{3}$

grizzled pagodaBOT
#

BigBen

orchid patrol
pallid canopy
#

,tex .double angle

grizzled pagodaBOT
#

pi_day

pallid canopy
#

maybe try the 2nd formula to reduce the power. there may be other trig identites you'll need

stuck flint
#

I think according to exercise 7 and 8 the book want them to solve it through IBP

stuck flint
orchid patrol
#

ye but we don't have any intergrals anymore

pallid canopy
#

,w -1/3 *( cos(x) - cos^3(x)) - 1/12(cos(3x) - 9cos(x))

pallid canopy
#

since that's ^ not a constant

orchid patrol
pallid canopy
pallid canopy
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if your antiderivative was correct, it would differ from wolfram's by a constant

pallid canopy
#

sign error here

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-(a-b) = -a + b

orchid patrol
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Thanks

#

The second part for the last line looks like cos(3x) just missing the sin parts

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I got it but I had to go backwards

#

.solved

amber waspBOT
#
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amber waspBOT
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cyan marlin
#

Given f is a scalar function and v is a vector function ,

To prove :-

d(f r)/dt = f dr/dt + r df/dt

See image *

Is the proof correct .

cyan marlin
#

The step:
āˆ†t-> 0 f(t+āˆ†t) ā‰ˆ f(t)
Is what I am unsure about

shrewd elm
#

it's valid, but you need justification

#

that statement is equivalent to saying that f is continuous at t

cyan marlin
#

Continuity?

shrewd elm
#

yep

cyan marlin
#

Then , it's fully Rigorous?

shrewd elm
#

up to the point where the screenshot ends, yea

#

you have to explain why f is continuous at t, though

cyan marlin
#

Okay , understood

#

Thank u

shrewd elm
#

yw

cyan marlin
#

.close

amber waspBOT
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amber waspBOT
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stable kelp
#

can someone help me find the currents of every resistor in this circuit? i got these equations from kirchoff but got wrong values when i tried solving it
not even sure if they are right, and there should be an easier way to do this right?

amber waspBOT
#

@stable kelp Has your question been resolved?

shadow stump
#

the fact that none of the equations have any negative signs is suspicious

astral umbra
#

uh which way are the I1, I2, and other Is

stable kelp
astral umbra
#

well those two i can understand but i think you need to determine the direction of the currents for the first three as @cloud said

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eager pebble
#

can someone help please? Sequences

amber waspBOT
pallid canopy
#

Wut

pallid canopy
amber waspBOT
# eager pebble can someone help please? Sequences

Please show the original problem, exactly as it was stated to you, with the entire original context. A picture or screenshot is best. If the original problem is not in English, then post it anyway! The additional context might still be helpful. Do your best to provide a translation.

sinful sapphire
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any two could be true

amber waspBOT
#

@eager pebble Has your question been resolved?

winter badge
# eager pebble can someone help please? Sequences

I'm assuming this is 1 geometric series and you just want to find which terms make sense. It's good to start off by recognising that these are powers of 2. Then you will see why frowny's statement is true and it's actually 2 geometric sequences that are contained in the answers here

eager pebble
winter badge
eager pebble
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Yes sorry i didnt see the full question 😭

winter badge
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well because its geometric

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you know to go from the 6th to the 7th term you multiply by r

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so to go from the 6th to add term you multiply by r twice i.e. $r^2$

grizzled pagodaBOT
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Nyxzore

winter badge
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knowing that you can work out what r is

eager pebble
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ah i seee

winter badge
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the ratio

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,w geometric series

eager pebble
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is rhere a follow up formula for this

winter badge
#

well you know any geometric sequence is
${ar^n}$

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if i had 3 9 27 ...

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my r value is 3

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cuz to go from one term to the next i am multiplying by 3

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so to get the 4th term id just say 27*3

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and so on

grizzled pagodaBOT
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Nyxzore

eager pebble
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Ouhh whats a

winter badge
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guess

eager pebble
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is it the first term

winter badge
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well done

eager pebble
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but we dont know term 1

winter badge
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we dont need to

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I just need to know how to traverse terms

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lets say i can you a random sequence

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3, ..., 12, 24, 48

eager pebble
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6

winter badge
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exactly!

eager pebble
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so is r 2

winter badge
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yes

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knowing r can get you anywhere

eager pebble
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okay so 1024/(2r) is 256 ?

winter badge
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i see the confusion

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well we know the 6th is 256 so lets write it like this
{..., ..., ..., ..., ..., 256, ..., 1024}

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3, ..., 12, 24, 48 looking back at this

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you saw that r=2

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to go from 12->48

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i'd need to times by r twice

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i.e. 12.r.r

eager pebble
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so r^2

winter badge
#

ayep

eager pebble
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Thank you

#

.close

amber waspBOT
#
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solemn escarp
#

Determine all monotone functions $f : \mathbb{R} \to \mathbb{R}$ such that [f(x +f(y)) = f(x) + f(y) ] for all real $x,y$

solemn escarp
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well clearly f(f(x)) = f(x) + f(0) for all x but idk how to continue

pseudo crescent
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f(x + f(y)) = f(x) + f(y) looks quite interesting,
f(x + k) = f(x) + k (where k = f(y) for any y you pick)

solemn escarp
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oh wait i forgot a part

grizzled pagodaBOT
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Copter

pseudo crescent
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oh that might change some stuff

solemn escarp
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monotone means injectivity right

pseudo crescent
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depends

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it might not be strictly monotone

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montonicity includes constant sections too usually

solemn escarp
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oh okay

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suppose that we have f(a)=f(b)
then f(a+f(y)) = f(b+f(y))

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if f(y) non const then a=b

pseudo crescent
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if f(y) non const then a=b
Wdym?

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why?

solemn escarp
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if f(y) nonconstant then (a+f(y),b+f(y)) is some interval adm we have for all y so we can vary y

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i think

pseudo crescent
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maybe f(y) just doesnt vary as much as you would hope it would

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i just managed to find quite a non-trivial solution, which is not injective (not the x=0 one)

solemn escarp
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oh

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🫩

pseudo crescent
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f(x + k) = f(x) + k (where k = f(y) for any y you pick)

This is probably the most interesting thing

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the most obvious functions with this property is probably f(x) = x+c

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then there are some heavily discontinuous (but not monotone examples) and also some discontinuous but still monotone examples

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try finding some of those discontinuous and still monotone exampels

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f(x + k) = f(x) + k (where k = f(y) for any y you pick)
This basically says
f(x+k) = f(x) + k for all k in ran(f) btw

solemn escarp
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hmmm

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how would i use monotone for this though

pseudo crescent
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im not yet sure how to do the formal proof, but the montonicity is there just to remove some very ugly very discontinuous sols

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f(x+k) = f(x) + k for all k in ran(f) btw
Try just constructing something with this property

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oh i think i know how to do the formal proof now

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do you know how to do it, assuming f is injective?

solemn escarp
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yeah

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but there are cases where it is not injective?

pseudo crescent
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yeah, there are such cases

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what does it mean if a function isnt injective but is monotone

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what can you say about such function

solemn escarp
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there is some interval where it is constant

pseudo crescent
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yep, its constant on some interval

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so lets suppose that on some interval [a,b], f(x) = c

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f(x+k) = f(x) + k for all k in ran(f) btw
Draw it and use this to get some values outside of [a,b] and see how f starts to look like

solemn escarp
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linear?

pseudo crescent
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well, its constant somewhere so it cant be exactly linear

solemn escarp
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i mean its linear outside of (a,b)

pseudo crescent
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For example if on [1,2) f(x) = 1, it would force e.g. f(2.5) = f(1.5 +1) = 2, similarly f(2.1) = 2...

solemn escarp
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would it be constant of the same interval

pseudo crescent
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Mhm

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In this specific case, itd result in floor(x)

solemn escarp
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i see

pseudo crescent
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So these floor-like functions are another class of solutions

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Now youll probably have to go through to casework on the constant intervals (for example if f is 0 on the interval, we arent able zo get much info from it) and see where the floor-likeness is actually forced

fierce linden
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f(x+k)-(x+k)=f(x)-x

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so g(x)=f(x)-x is k periodic. then use f monotone to get some conditions on g

pseudo crescent
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It could be used with continuity or to construct some very ugly sols tho

fierce linden
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||then f increasing gives a nice concrete condition on g||

amber waspBOT
#

@solemn escarp Has your question been resolved?

pseudo crescent
#

honestly the class of floor-like solutions is so big that its quite difficult just to describe it, for example
f(x) = 1 on [0, 1/3)
f(x) = 2 on [1/3, 1)
f(x+n) = f(x) + n for n in Z
works too, and its not a plain floor
Describing the g functions as rokketo suggested might be easier

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||You can pick any y and then H := {ny | n in Z} will be the range. Now pick an arbitrary monotone function f' mapping [0, y) -> H and extend it by the rule f(x + y) = f(x) + y. That gives you f: R -> H, which is a valid sol.||

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There are more sols than I expected

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They mightve intended "monotone" to mean "strictly monotone"

fierce linden
fierce linden
amber waspBOT
#

@solemn escarp Has your question been resolved?

amber waspBOT
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small copper
#

<@&268886789983436800>

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languid nest
amber waspBOT
languid nest
#

Help me with 31 and 32

small copper
shy kraken
#

dude

#

<@&268886789983436800>

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poor guy

languid nest
languid nest
languid nest
shy kraken
languid nest
#

Someone help

small copper
languid nest
#

I just know it’s gonna be like a vase

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But I can’t draw

small copper
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What we have in x and y?

languid nest
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That’s what I m confused about

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I don’t know what to draw

small copper
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Right?

small copper
#

Using our values.

languid nest
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which values

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We just have k

small copper
languid nest
#

oh I still don’t get it

small copper
languid nest
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I m confused

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so I just skipped that one

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I m now stuck on another similar problem

small copper
small copper
small copper
languid nest
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yeah but I m so confused

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when I have to draw in 3 d

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Like on paper

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What’s the directrix gonna be

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U there?

small copper
languid nest
#

huh?

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but we do need

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two hyperbolas

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on each surface

small copper
languid nest
#

Can u explain me how you draw on paper I feel clueless

small copper
#

Now you can know how to conclude?

languid nest
#

I m confused

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Won’t it be hyoerbolas

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Can u draw it i m so confused

small copper
small copper
small copper
#

šŸ™‚

languid nest
#

Yeah I wanna do it myself too

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Lemme try

small copper
#

If you made mistakes I will correct you, don’t worry.

native stag
languid nest
#

@small copper hey

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I don’t know how we make the y = -x^2

stoic valley
#

Hello bhai

languid nest
#

Han bhai

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yar

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Yeh hyperbolic paraboloid

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ne

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halat kharab ki huwi hai bhai

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rona araha hai

stoic valley
#

Arey koi na bs all is well boldo🌚

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Abhi kaunsa 31 kar rhe ho na?

small copper
stoic valley
#

Acha theek ye banda kar dega badhiya se help

#

acha hai ye wala banda usse hi smjh lo

small copper
languid nest
#

@small copper

small copper
small copper
# languid nest

You have to draw that same inverted U but starting from where all the axes intersect.

#

It’s the only think.

small copper
amber waspBOT
#

@languid nest Has your question been resolved?

languid nest
#

Got it

#

Thanks

amber waspBOT
#
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#
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clever hull
#

I'm doing ellipses and hyperbole in high school. I need some help, i know how to do the basics, but when it gets even a lil bit harder i get stuck.

clever hull
#

this is the excercise where im stuck

echo pivot
clever hull
#

I need help to start this excercise. I can do the last part, like drawing it on the graphic, but i just need to find Centre, a, b, c and e.

clever hull
echo pivot
#

Aight , so do you know if its an hyperbole or an ellipse?

clever hull
#

help*

echo pivot
clever hull
echo pivot
#

So the basic form of an hyperboal is, in this case,
(y - β)²/b² - (x-α)²/a² = 1

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So, on the right hand side, you need to get 1

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Then the center would be (α,β)

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And a² would the opposite of the coefficient thats with x². In this case, itd be 9/16

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Youd get something like this, meaning β = 2 and α = 0

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And 1/b² = 1/9

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And 1/a² = 16/9

amber waspBOT
#

@clever hull Has your question been resolved?

clever hull
#

mh, so the centre is (0;2)

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but shouldnt the a be 3 just like the b

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Cuz in hyperboles and ellipses i calculate the a and the b by doin the square root of whats under the fraction

clever hull
echo pivot
clever hull
#

sorry if i explain myself bad, english is not my first lenguage. if u need some clarification, im herw

echo pivot
# clever hull

It worked for that cuz there wasnt anythinf multiplied in the numerator

clever hull
echo pivot
clever hull
#

so if i do the square root

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it comes out right?

echo pivot
#

Yeah, youd get 1/a = 4/3

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So a = 3/4

clever hull
#

OHHHHH ALRIGHT

#

tysm man, i really appreciate itā¤ļøā€šŸ©¹

amber waspBOT
#
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echo pivot
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rapid plaza
#

hey guys, how am I supposed to do this. Im in adv func so I dont know any calculus

round rune
stoic valley
#

Have you tried taking conjugates?

rapid plaza
#

multiply the root by the cojugate?

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cuz isnt that usally used when you have a fraction

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or do I make it into a fraction

stoic valley
rapid plaza
#

yea

stoic valley
#

Okay go ahead then

rapid plaza
#

ok I got to 3x+7/ (sqrt(x^2 + 3x + 7) + x)

stoic valley
#

Okay nice

#

Now leaving the Question aside for a moment

#

what is a/x when x is tending to infinty?

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(a is a definite constant)

rapid plaza
#

decreasing?

jagged zephyr
stoic valley
#

Nope i am asking the value of the limit

jagged zephyr
#

What is 1/infinity= (tending to ...)

rapid plaza
#

ummmm aprouach 0?

jagged zephyr
#

Yeeee

stoic valley
#

Okay good!

jagged zephyr
#

So you have to make smthing like that

rapid plaza
#

what do you mean make something like that

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oh cuz roots cant be negative

jagged zephyr
rapid plaza
#

and denom cant be 0

rapid plaza
jagged zephyr
#

Umm u need pic ?

rapid plaza
#

ok wait first what does geometrical meaning is that the graph?

stoic valley
# rapid plaza type?

Can you convert all the terms in the expression into smth like a/x or a/(x^2) or a constant itself?

jagged zephyr
stoic valley
rapid plaza
#

so the top is 3/x + 7/x^2

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or 3 + 7/x

stoic valley
#

uh?

#

Oh you mean numerator

woeful sable
stoic valley
#

Yeah!

stoic valley
stoic valley
rapid plaza
#

wait can ygs check this can I based it off this

stoic valley
#

I am assuming you divided the numerator by x?

stoic valley
rapid plaza
#

ad then I multpy by the conjugate

stoic valley
woeful sable
rapid plaza
#

wdym also the conjugate is just the same equation but +1 instead of -1 right

stoic valley
rapid plaza
#

ok wait lemme restart