#help-27

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dim halo
#

trying to learn about probabilistic reasoning if all outcomes are equally probable. is this correct?

if everything in a set, S, is equally probable, then:

p(F | S) = the size of the intersection between F & S / the size of S, for any set F

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dim halo
#

trying to learn about probabilistic reasoning if all outcomes are equally probable. is this correct?

if everything in a set, S, is equally probable, then:

p(F | S) = the size of the intersection between F & S / the size of S, for any set F

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@dim halo Has your question been resolved?

devout snowBOT
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@dim halo Has your question been resolved?

dim halo
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<@&286206848099549185>

worthy raft
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Yes that is correct

woven radishBOT
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NotABot

dim halo
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is the condition that the set is the set of all possible outcomes required for this reasoning?

worthy raft
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Not really, I was just trying to be fancy then realized I made a minor misunderstanding that made my reasoning wrong so I had to patch it

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In a sense P(F | S) is restricting the set of possibilities to S, so that gives us everything needed

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Any other questions or clarifications?

dim halo
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i forgot how it went but it looked like it made sense when i read it

worthy raft
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Pretty much, the problem was I had P(S) = |S|/|U|, but that's only true if everything in U has an equal probability

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But since everything in S does have an equal probability P(F | S) = |F inter S|/|S| will hold

dim halo
worthy raft
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I don't really have a strong proof for it, but essentially I just ackknowledge that P(F | S) = P(F inter S | S) and by treating P(_|S) as a probability function with the universe restricted to S, we can use the formula for getting the probability of a set of size n in a universe where everything has equal probability

dim halo
worthy raft
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Hmmmmm

dim halo
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so in the previous proof replace p(-) with p(-|S)

worthy raft
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Pretty much?

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It's like, if the set of all possible outcomes is U, then p(- | U) = p(-) right?

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Since everything that can happen must be in U

dim halo
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yeah

worthy raft
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Just like how if everything in U had an equal probability then P(F) = |F|/|U|, we have that since everything in S has an equal probability P(F | S) = P(F inter S | S) = |F inter S|/|S|

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Do you get how I'm doing P(F | S) = P(F inter S | S)?

dim halo
worthy raft
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Essentially yeah, since F is a subset of U we will have F inter U = F

dim halo
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oh actually i do

worthy raft
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Okay great!

dim halo
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cos P(F | S) = P(F inter S) / P(S)

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P(F inter S | S) = P(F inter S inter S) / P(S)

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F inter S inter S = F inter S

worthy raft
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Yup! Another way of looking at it if you're familiar with the axioms of probability is that
P(F | S) = P((F inter S) union (F remove S) | S) = P(F inter S | S) + P(F remove S | S) = P(F inter S | S) + 0 = P(F inter S | S)

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Read another way, anything in F that isn't in S has 0 probability of occurring in P(-|S), so we can just throw them away

dim halo
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okay great that makes sense

worthy raft
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Awesome 🙂

dim halo
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just making sure im on the same page

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we're arriving at this in the same way we arrive at p(F) = |F inter U| / |U|, but replace p(-) with p(-|S) to have p(F inter S | S) = |F inter S| / |S|

worthy raft
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Yup! Assuming U has the equal probability property of course

dim halo
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yeah

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and does S also have to have mutually exclusive elements?

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for this whole thing to work

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ik U has to be mutually exclusive & jointly exhaustive

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does that carry over to S?

worthy raft
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I'm not sure what you mean by mutually exclusive here, but I believe so

dim halo
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as in both outcomes cant obtain

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two outcomes are mutually exclusive = they both cant occur

worthy raft
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So what would it mean for U to be mutually exclusive?

dim halo
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this is where i got that from

worthy raft
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Ahhhh

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Okay sure, then since S is a subset of U it will also have that probability yeah

dim halo
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will also have that probability?

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the mutually exclusive one?

worthy raft
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property*

dim halo
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okay i see

worthy raft
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Both yeah

dim halo
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collectively exhaustive too?

worthy raft
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...Yes, since by definition of P(-|S) we're saying the probability of - happening when we already know something in S is happening

dim halo
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right but that doesnt mean something in S actually happens

worthy raft
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Yeah okay let me rephrase, if U has both of those properties with the probability function P(-), then S will have those properties with the probability function P(-|S)

dim halo
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ohh yeah. makes sense!

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thanks for the help! much appreciated!

worthy raft
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No problem! Glad I could help 🙂

dim halo
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drifting granite
#

Can somebody review my answers for me?

foggy vault
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@drifting granite why did u say lim of 5+ and 5 is DNE

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on the second page

drifting granite
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I didn’t catch that. They both would be 3 correct?

foggy vault
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mhm

drifting granite
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Everything else look okay?

foggy vault
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mhm

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I cant see the graph being talked about in regards to the second half of the first page

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but other wise it seems fine

drifting granite
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The second half of the first page is the graph shown in the 2nd screenshot

foggy vault
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OHH holdon then

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yep its good

drifting granite
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Thank you!!

foggy vault
#

np

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royal creek
#

How do I differentiate $\theta(t)(1-\frac{\gamma t}{2})e^{-\frac{\gamma t}{2}}$ where $\theta(t)$ is the Heaviside function

exotic dagger
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product rule, along with the fact that the derivative of $\theta(t) = \delta(t)$ where $\delta(t)$ is the Dirac delta distribution

woven radishBOT
royal creek
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but this is wrong

exotic dagger
royal creek
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yeah

exotic dagger
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that's basically what you got

royal creek
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how can I get rid of the e^(gamma t/2)

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with the dirac delta

exotic dagger
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after you expand your last expression into delta(t) multipled by the e^(...) + the remaining which is fine

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you can then use the sifting property of delta

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i.e. $\delta(t) e^{\frac{-\gamma}{2}t} = \delta(t) e^{\frac{-\gamma}{2} \cdot 0} = \delta(t)$

woven radishBOT
royal creek
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ah okay so the way it works in an integral

exotic dagger
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yeah, sifting property works even without writing it in an integral against some test function

woven radishBOT
royal creek
woven radishBOT
exotic dagger
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first bit yes, second bit not quite

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you need to take modulus

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i.e. $\delta(ax) = \frac{1}{|a|}\delta(x)$

woven radishBOT
royal creek
exotic dagger
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np

royal creek
#

!close

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frosty gyro
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frosty gyro
#

in the solutions it says triangle PAB is similar to PYX

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can someone explain why?

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Also for b) there's a typo: x= angle APB

wooden wraith
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Quadrilateral ABYX is cyclic (all its vertices lie on circle C2)

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In a cyclic quadrilateral, opposite angles are supplementary

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From that you can show that the triangles are similar

frosty gyro
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oh ok

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angle ABP = 180-angle ABY = angle PXY

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thanks

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frosty gyro
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yea idk why I was stuck on this for so long

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viral mantle
#

I have this equation down to (3a^3b^3)(16a^2b^4) I tried foiling but the answer doesnt match with the answer from a calcualtor. In the calculator instead of foiling they just multiply 3*16 and then combine like terms. Wouldnt you have to foil though?

dawn lintel
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We can just multiply inside the brackets

viral mantle
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FOIl, first, outer, inner, last

dawn lintel
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(3x16)(a^5)(b^7)

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This should be the answer right?

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@viral mantle

viral mantle
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The answer is this but i just dont know how to get there.

dawn lintel
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I mean just multiply inside the brackets

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(a)(b)=ab

viral mantle
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ohhh

dawn lintel
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(a^2)(a^3.b)=a^5.b

viral mantle
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this is foil but

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i gues you only use it when there is addition in the problem

dawn lintel
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Ohh

viral mantle
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and here there is only multiplication

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okay got it

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thanks!

dawn lintel
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Good

dawn lintel
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viral mantle
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narrow kite
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narrow kite
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narrow kite
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narrow kite
# narrow kite

do I get the integrate f and g here first and them I can deduct them?

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personally id prob split it up in two integrals to begin with and just deduct the results

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but given I combjne it jn one integral like they did, i should get the primitives prior to combing f and g right?

foggy vault
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i would say split it

narrow kite
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ftc?

foggy vault
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nvm

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but yeah just split it

narrow kite
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teacher showed me how u can combine them into one integral

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prior to calculating

foggy vault
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OH THAT

narrow kite
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makes it faster also covers all grounds

foggy vault
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yeah

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thats what i would do

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I got a bit confused by your question

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I would say just combine first then integrate

narrow kite
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I recall its the other way around, you confident about the order?

foggy vault
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you could honestly do either way for int f(x) - g(x)

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yeah either way works

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let me give you an example

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try this

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f(x) = x^2 + 2x

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g(x) = 3x +1

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first try it by combining first then integrating

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then second time integrate first then combine

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you should get the same answer

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hexed ocean
#

Can someone please help me with question 3

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eternal tapir
#

is the work you have written part of q2?

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or is that meant to be your work for q3

hexed ocean
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these are the hints i got

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but now idk where to go

eternal tapir
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right so

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try evaluting the pmf for p=1/2

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and simplify as much as you can

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@hexed ocean Has your question been resolved?

hexed ocean
eternal tapir
#

$P(X = x) = \binom{n}{x}(1-p)^{n-x}p^x$

woven radishBOT
#

chebyshev's infinite pee norm

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hexed ocean
hexed ocean
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@hexed ocean Has your question been resolved?

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@hexed ocean Has your question been resolved?

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@hexed ocean Has your question been resolved?

faint zinc
#

Remember if p = 0.5 then (1-p) is also 0.5

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Which means what about the pmf of k vs n-k?

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(hint, what is the formula for the binomial coefficient?)

devout snowBOT
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@hexed ocean Has your question been resolved?

hexed ocean
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Wait no

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It’s gonna be 0.5 to the power of 60 in this case

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Coz it’s played 60 times right

violet wind
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No, you're pulling in data from an unrelated problem

hexed ocean
#

O

hexed ocean
violet wind
devout snowBOT
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@hexed ocean Has your question been resolved?

hexed ocean
violet wind
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Yes

hexed ocean
#

Symmetry?

devout snowBOT
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@hexed ocean Has your question been resolved?

junior fossil
#

!help

devout snowBOT
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To ask for mathematics help on this server, please open your own help channel or help thread. See #❓how-to-get-help for instructions.

hexed ocean
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.close

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stone cliff
devout snowBOT
stone cliff
#

I understand the basics but unfamiliar with notation

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for i and ii is it just the first and second derivative of r(t)

meager hollow
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|r| means like

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magnitude

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of the position vector

stone cliff
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ye but its l.rl

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is it the derived magnitude?

meager hollow
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and then the i,j,k components

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square and take root

stone cliff
#

Ah got it ty

meager hollow
#

yw

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opaque talon
devout snowBOT
opaque talon
#

Im so lost with this integral

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for b

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I used the bounds of -2, 4

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and its not returning me the correct answer

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wtf

eager lodge
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In an integral area is signed (area below x axis is negative) but we want the actual area, not the signed area here

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Notice that the integral from -2 to 0 is negative

opaque talon
#

so I take the modulus

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of bounds from -2,0?

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and then add to the other area

eager lodge
#

Yep

opaque talon
#

thanks

#

this shit was driving me crazy

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digital mulch
#

whats the difference between BPD AND BCD

devout snowBOT
sharp root
#

Context?

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Oh
Binomial distributions?

digital mulch
#

the button on the calculator for binomial hypothesis testing

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when do we use which one

sharp root
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Mine always say binomial pdf and cdf
So I assume your BPD is binomial pdf and BCD is cdf

digital mulch
#

yeah when do you know which one to use

sharp root
#

So pdf is the height of a function at a certain point
Cdf is the area under the curve of the function over a range

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You use PDF when you want the probability something happened exactly x times

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Cdf for when you're looking at a range of x values

digital mulch
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so cdf is > <

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and pdf is =

sharp root
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Yep

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Exactly

digital mulch
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okay thank you

sharp root
#

For example, a finding the probability a fair die rolled a 6 4 times in a row is PDF
Finding if the fair die is actually fair is CDF

digital mulch
#

is this pdf / bpd

safe jasper
#

yes

digital mulch
#

thank you!!!

#

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digital mulch
#

hey

devout snowBOT
digital mulch
#

how do you find what number you test this on

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eg. how do you get p(x<=2)

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how do you get that number

sharp root
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Bc the coin got heads twice

digital mulch
#

oh

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what about for this one

sharp root
digital mulch
sharp root
digital mulch
#

oh lol

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how did they get (p<=7)

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how did they know to find 7

sharp root
#

Bc 7 ppl order a starter

digital mulch
#

its really that easy oh thank you

#

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steep fjord
#

hello people. i ran some one way ANOVA tests but im unsure how to represents the results i got. is there a table i could use? or a graph?

steep fjord
#

do i just recreate this in excel

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steep fjord
#

no

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crystal sleet
#

Does this problem have any construction? I have tried the case with 4 columns and 1,1,3,3/1,2,3,4 works. I think there should also be a solution for 2024, but still does not find one.

crystal sleet
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prime narwhal
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prime narwhal
#

Where do I start (I haven't done any questions of this exact type before, and was not taught how).

quaint citrus
#

Maybe try isolating ‘y’

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There’s a trick to these, but if u haven’t done them, that’s the best path

prime narwhal
#

i know the formula is y=mx+b or something

quaint citrus
#

Exactly

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U wanna get it in that form

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Because m is slope

prime narwhal
quaint citrus
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Yes

prime narwhal
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so 5x+4y=80

quaint citrus
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Keep going

prime narwhal
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i dont understand how i get rid of the 5x

#

do i just d ivide by 5 and leave the x?

quaint citrus
#

Well it’s a term being added to the left side

So what should u do to both sides, to remove 5x from the left side

prime narwhal
#

idk

quaint citrus
#

Wdym by take away

prime narwhal
#

idk dude

quaint citrus
#

What does that mean

prime narwhal
#

im sorry im sleepy

#

had surgery yesterday and forced to do school

prime narwhal
#

i have no clue

quaint citrus
#

Good

#

Yes

#

So do that

prime narwhal
#

so

#

4y=80-5x

quaint citrus
#

SUBTRACT 5x

#

Don’t say take away

prime narwhal
#

sorry

prime narwhal
#

wait so

#

is the answer

#

5?

#

4y=-5x+80

quaint citrus
#

U have to isolate y

#

U isolated 4y

prime narwhal
quaint citrus
#

Yea

prime narwhal
#

so do i dived by 4?

quaint citrus
#

Yea

prime narwhal
quaint citrus
#

U divide the entire equation by 4

#

Divide both sides by 4

prime narwhal
#

y=-1.25x+20

quaint citrus
#

Yea

prime narwhal
#

y=-5/4x+20

quaint citrus
#

Yea

prime narwhal
quaint citrus
#

It’s in the form y = mx+b, what do u think

prime narwhal
#

but im not 100%

quaint citrus
#

Ur correct

prime narwhal
#

nice!

#

tysm

#

i got some more questions

#

but thanks

prime narwhal
quaint citrus
#

Plug in x = 0 and solve for y
Plug in y = 0 and solve for x

prime narwhal
#

so do this

#

and i will find the x intercept?

quaint citrus
#

Yes

prime narwhal
#

6x+5=90

weary hollow
#

Sorry for interrupting but would it not be 6x+5y=90

prime narwhal
weary hollow
#

Well at least how I was taught you add 90 to the -90 so you can move it to the right of the equal sign

#

Then split the equation

quaint citrus
weary hollow
#

6x=90 and 5y=90

prime narwhal
#

is that wrong?

prime narwhal
#

6x=85

#

uhh i think i did something wrong

#

where did i make a mistake

weary hollow
#

Your not suppose to subtract a 5

#

You need that 5 later on to find “y”

prime narwhal
#

what do i do after

#

6x+5(0)=90

#

then

weary hollow
#

The equation is 6x+5y=90

#

Because you add 90 to both sides

prime narwhal
#

but y is 0 since im finding x intercept

quaint citrus
#

Right so u made it

#

6x + 5(0) = 90

#

Then what does it become

#

What is 5(0)

weary hollow
#

Oh your doing it that way

#

I split the equation into 2 equation
6x=90 and 5y=90

#

Then divide 6 to 90 and 5 to 90

quaint citrus
#

That’s the same thing, u just skipped some steps

prime narwhal
#

6x + 0 = 90

#

so we can just get rid of the 0 right

#

6x = 90

weary hollow
#

Correct

prime narwhal
#

x = 15

#

so the x intercept is 15, 0

#

right?

weary hollow
#

Correct 👍

prime narwhal
weary hollow
#

Now find “y”

prime narwhal
#

and thats the only option with 15, 0

weary hollow
#

It’s better because there’s some options were x is 15 on other choices

#

It’s easier now but later on it will screw with you

quaint citrus
#

It’s the only correct x - intercept value

#

Sure if u wanna practice go ahead, but it’s not necessary at all

weary hollow
#

It’s just better in my opinion to work for the other answer

#

But yeah I agree with Stephen

quaint citrus
#

Yea to make sure 100%, I know what u mean

weary hollow
#

Alr Stephen sorry for interrupting

quaint citrus
#

No worries

prime narwhal
prime narwhal
#

what do i do for this type of question

quaint citrus
#

There are lots of great videos on the internet for this kind of stuff, just search “how to find equation of line with 2 points”, the resources are great

#

I don’t think u really need me with that stuff out there

prime narwhal
#

i understand if you can't or don't want to help me but its much easier for me

quaint citrus
#

Yea honestly these problems are kind of boring sorry

orchid hearth
# prime narwhal

If I understand this question correctly, you are supposed to find the equation that goes trough the two points, right?

prime narwhal
#

i still dont understand what general form is but

orchid hearth
#

general form is: y=mx+b

#

meaning u need to find out m and b

prime narwhal
#

oh yeah i know that

#

and m is the slope

#

so i calc the slope

orchid hearth
#

right!

prime narwhal
#

77 - -67 / 12 - -12

#

144/24

#

72/12

#

36/6

#

6/1

#

so my slope is 6/1?

#

which is also 6 (we we are at y=6x+b)

orchid hearth
#

yes that is correct

#

and know we need to find b

#

do you already know how?

prime narwhal
orchid hearth
#

english is not my main language but yeah b is the point where x=0

#

so, do you know how to calculate b in our example?

prime narwhal
#

so i dont know

orchid hearth
#

you insert a point into your general form, meaning you already know the slope and u also insert one of the points given in the task, then u solve for b

#

so y=6x+b

#

and then u insert either (77 12) or (-67 -12)

#

and then solve for b

prime narwhal
orchid hearth
#

well at the end u have the y coordinate for x=0

prime narwhal
#

im confused at this step

orchid hearth
#

just insert a point from the task into y=6x+b

prime narwhal
orchid hearth
#

well we have 12=x and y=77 so we put those number into they're respective places so we end up at: 77=6*12+b

orchid hearth
#

so know we solve for b

prime narwhal
orchid hearth
#

yes that is right

prime narwhal
#

5=b

#

so b=5?

orchid hearth
#

yes

prime narwhal
orchid hearth
#

yep

prime narwhal
orchid hearth
#

thats a great question, afaik that is not the general form but that doesnt quite matter just check which one of these terms is equivalent to our term

orchid hearth
#

yes

#

good job, jus lemme know if you have more questions

prime narwhal
orchid hearth
#

shoot

prime narwhal
#

im not sure how i do this

#

Convert 10x+y+5=0
to slope-intercept form, and choose the graph that represents it.

orchid hearth
#

okay now i get what your previous question was hinting at with general form

#

here you need to convert the term into the y=mx+b which your task calls slope-inercept form, and then you can check what graph fits best

prime narwhal
orchid hearth
#

yeah

prime narwhal
#

10x+y+5=0

#

y=-10x-5

#

like that?

orchid hearth
#

yea

#

and know we know two things

prime narwhal
#
  1. it goes down?
orchid hearth
#

yeah

prime narwhal
#
  1. -5 is the y intercept?
orchid hearth
orchid hearth
prime narwhal
orchid hearth
#

yes

prime narwhal
#

so is it this one?

orchid hearth
#

thats correct

prime narwhal
prime narwhal
orchid hearth
#

well this looks quite the same doesnt it

prime narwhal
#

so lets get y alone

#

4x−y+12=0

#

−y=-4x-12

prime narwhal
#

i did something wrong

orchid hearth
#

no, not quite

prime narwhal
orchid hearth
#

you can just add y to the originial term

prime narwhal
#

what do you mean by that

orchid hearth
#

you got the prefix (i hope hats what it is called in english, i mean the -) wrong

orchid hearth
prime narwhal
#

ohh

orchid hearth
#

but you then just turned the prefix from the y

orchid hearth
#

german

prime narwhal
#

i think thats how you say hi

#

idk

orchid hearth
#

yea

prime narwhal
#

i have a few german friends

prime narwhal
#

im confused

orchid hearth
#

well you had the correct term: -y=-4x-12

#

and then u just put: y=-4x-12

#

which you cant do

#

it would be y=4x+12

prime narwhal
#

ohh so it like gets rid of the negitives

#

its like i multiply by -1

orchid hearth
#

yessss

prime narwhal
#

since -y is just like -1y

orchid hearth
#

thats exactly what u do

#

correct

prime narwhal
#

okkk

#

thanks

orchid hearth
#

no problem

#

now we have the tern which graph fits this term?

prime narwhal
orchid hearth
#

yes

prime narwhal
#

this one i asume?

#

its the only one that looks like it would touch y12

orchid hearth
#

yea while your answer is correct u should probably prove it by looking at the slope not at the y intercept

#

espacially when the y intercept is not on the screen or picture and multiple lines could get there

prime narwhal
orchid hearth
#

look at two points you can easily determine like (-4 -4) and (-2 4)

orchid hearth
prime narwhal
#

ohhhh

#

so just grab some points and see if the slope is the same

orchid hearth
#

jop

prime narwhal
#

so grab like a y2 a y1 a x2 and a x1

#

i won't do it now just becuase i know but

#

just for future

orchid hearth
#

yes

prime narwhal
#

(this one i dont need to hand in work its a practice test)

prime narwhal
# orchid hearth yes

okay tysm, i should work on some other classes now but would you maybe be able to help me in the future

orchid hearth
#

yeah sure just dm me or smth

#

.close

#

you should write that @prime narwhal to close the help channel

devout snowBOT
#
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devout snowBOT
#
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After 15 minutes, feel free to ping <@&286206848099549185>.
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solemn sinew
devout snowBOT
solemn sinew
safe fractal
#

What kind of backwards graph drawing shenanigans is this?

solemn sinew
woven radishBOT
solemn sinew
#

this what I got

#

idk what I am doing wrong

safe fractal
#

Your horizontal asymptote is wrong

#

Your vertical asymptote is correct

#

you drew it wrong though

#

Also you factored out wrong in the top part of the fraction

solemn sinew
#

oh wait hold on

#

I forgot the updated work

#

.clsoe

#

.close

devout snowBOT
#
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#
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Remember:
Ask your math question in a clear, concise manner.
Show your work, and if possible, explain where you are stuck.
After 15 minutes, feel free to ping <@&286206848099549185>.
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signal lava
#

!help

devout snowBOT
#

To ask for mathematics help on this server, please open your own help channel or help thread. See #❓how-to-get-help for instructions.

devout snowBOT
signal lava
#

hi

#

Ben is 20 years older than Daniel. Ben and Daniel first met two years ago. Three years ago, Ben was 3 times as old as Daniel How old is Ben now?

#

the first sentence can be represented as b = d + 20

#

the last sentence can be represented as

#

b - 3 = 3(d - 3)

#

if we plug in b into the equation you get

#

d + 20 - 3 = 3(d - 3)

#

but notice there are no b variables how are we suppose to solve for b then

frozen aurora
#

first solve for d

signal lava
#

well

#

the question is asking how old is ben

#

which is the b variable

frozen aurora
#

then plug into b = d + 20

signal lava
#

oh ok

frozen aurora
#

an easier way would be to do

#

d = b - 20

#

so you get b-3=3*(b-20-3)

#

you solve for b and that'll be your answer

frozen aurora
signal lava
#

hang on

#

ill be right back give me like a minute

#

@glacial nimbus

#

@frozen aurora

#

is d = b - 20 the same as d = b + 20

#

oh sorry

#

wait nvm it is

frozen aurora
signal lava
#

i mis typed it

#

i meant

frozen aurora
#

you are confusing b and d lol

signal lava
#

is d = b - 20 the same as b = d + 20

frozen aurora
#

$b = d + 20 \iff d = b -20$

woven radishBOT
#

artemetra

frozen aurora
#

same

signal lava
#

ok

#

oh yea

#

ur right i can just re write the equation

#

ok thanks

frozen aurora
#

no problem!

signal lava
#

so

#

would it look like this

#

b - 3 = 3(b - 20 - 3)

#

or am i missing a parantheses

#

or like b - 3 = 3((b - 20) - 3)

#

what

#

how did they simplify this

#

isnt it 3(b) 3(-20) 3(-3)

#

oh

#

wait

#

nvm

#

well

#

i-3 * -3

#

wait

#

oh nvm

#

fairyose

#

i keep miswriting the numbers

#

like b - 3 = 3b - 60 + 9

#

maybe i have trouble seeing numbers

#

and negative signs

#

its suppose to be a -9 not a positive 9

#

how can i prevent silly mistakes like this

#

it happens to me so often

#

hmm ok

#

sure

devout snowBOT
#

@signal lava Has your question been resolved?

devout snowBOT
#
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#
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Show your work, and if possible, explain where you are stuck.
After 15 minutes, feel free to ping <@&286206848099549185>.
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• Be polite and have a nice day!

Read #❓how-to-get-help for further information on how to ask a good question, and about conduct in the question channels.

ornate steeple
#

I need to find the continuity, derivability, differentiability of f(x,y), I tried with y=mx and parametric function (t,t^2) but I actually dont know what to do

teal perch
#

What is sen(x^2)

dense lynx
#

sin

teal perch
#

Hmm try other functions other than linear and parabolic ones

#

Maybe model one

#

Such that it somehow cancels out

ornate steeple
#

How can I model one?

devout snowBOT
#

@ornate steeple Has your question been resolved?

devout snowBOT
#

@ornate steeple Has your question been resolved?

devout snowBOT
#
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#
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Show your work, and if possible, explain where you are stuck.
After 15 minutes, feel free to ping <@&286206848099549185>.
• Type the command .close to free the channel when you're done.
• Be polite and have a nice day!

Read #❓how-to-get-help for further information on how to ask a good question, and about conduct in the question channels.

grizzled roost
#

Let $\mathbb{L}^d=(\mathbb{Z}^d, E)$ be a graph where an edge ${x,y}$ is in $E$ if $d(x,y)=1$. Let $(\omega e){e\in E}$ be i.i.d. Bernoulli random variables of parameter $p$. We say an edge $e$ is open if $\omega _e =1$. For a given $x$ in $\mathbb{Z}^d$, let $C_x$ be the set of vertices that are connected to $x$ via a path that has only open edges. Let $\theta (p)$ be defined as $\mathbb{P} (|C_0|=\infty)$.\

My question is: how do we know that $|C_x|$ is a random variable for each $x$? And how do we know that the probability on that is well defined? That is, let there be two different probability spaces $A_1$ and $A_2$, both satisfying everything that is said above. How can I know that, $\mathbb{P}_1 (|C_0|=\infty) = \mathbb{P}_2 (|C_0|=\infty)$ (for a given $p$)?\
The reason behind this question is that there is a proof that relies on adding structure to percolation. It begins by defining $U_e$ uniform iid random variables, such that $\omega_e = 1$ iff $U_e < p$. Those weren't there at the beggining so it is not obvious that this new object is actually the same percolation. The same can be said for many other proofs, that basically study one particular case of percolation model (with more structure) and then claims that the result is also true for all percolation models.

woven radishBOT
#

Casiel368

devout snowBOT
#

@grizzled roost Has your question been resolved?

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#
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polar flax
devout snowBOT
polar flax
#

I do not understand how they were able to get the answer

#

especially with the last few steps

#

The rest of the steps on the next page

#

But I need help with this

raven leaf
#

Be specific

polar flax
#

Okay

#

So like in the last few steps

#

How did they go from d(u(t)y/dt to d(u(t)/dt

#

That is one of the weird parts in this question

raven leaf
#

Product rule

polar flax
#

I understand that part

#

But how do they go to the step after that

#

And remove the y from the differential equation

tall knoll
#

this part seems to be awkwardly typeset

polar flax
#

Yes

#

I think they did that on purpose

tall knoll
#

that last term should read $\frac{\dd \mu(t)}{\dd t} y$

woven radishBOT
#

Steakanator

polar flax
#

But how do they get that?

#

Because they removed the y

raven leaf
#

Product rule

tall knoll
#

both mu and y are functions of t

polar flax
#

Wait

#

I get that

tall knoll
#

so as mentioned, this is just the product rule

polar flax
#

Okay

#

But I mean the 4th step

#

The one after this

tall knoll
polar flax
#

Yeah

#

How to they go from the product rule to this

tall knoll
#

both have a dy/dt*mu(t) term

#

the other term in each must be equal

polar flax
#

I am sorry can you type out what you mean

#

Also, why is there an "m" the one you wrote

tall knoll
#

that's the letter mu

#

$\mu$

woven radishBOT
#

Steakanator

vapid nest
#

mobius function

polar flax
#

Oh okay

#

But I don't understand how they got to the step still

tall knoll
#

$\text{second equation: } 4\mu(t) = \mu(t) \dv{y}{t} + 2\mu(t)y \ \text{third equation: } \dv{\mu(t)y}{t} = \mu(t) \dv{y}{t} + \dv{\mu(t)}{t} y$

woven radishBOT
#

Steakanator

tall knoll
#

compare the right hand side of each equation

polar flax
#

Okay

#

So the u(t)(dy/dt) cancel out

#

So we have

#

4(mu(t))-d(mu(t)y/dt = 2(mu(t))y-(d(mu(t))/dt)y

#

Right?

tall knoll
#

i'm not sure why you're subtracting things

polar flax
#

Oh wait

#

I'm an idiot

#

Oops

#

Ummmm

#

Can we subtract the d(mu(t)y/dt from both sides of the bottom equation

tall knoll
#

if you want

polar flax
#

What am I supposed to do

tall knoll
#

re-read what they've written after the second equation

polar flax
#

I did, multiple times

tall knoll
#

their argument is that the lefthand side of the equation is the derivative of some product of functions, ie

#

$\dv{\mu(t)y}{t} = 4\mu(t) \text{ for some function } \mu$

polar flax
#

Yeah

woven radishBOT
#

Steakanator

tall knoll
#

you have an equation for 4mu(t) (which is precisely the second equation)

polar flax
#

Wait

#

Isn't it d(mu(t))y/dt = 4(mu(t))-2(u(t))y

tall knoll
#

what?

#

again I'm not sure what you're doing subtracting things

polar flax
#

Your equation only had the 4(u(t))

#

So, because there was a 2(u(t))y

#

Added to it

#

I subtracted it onto the other side

#

Is that wrong?

tall knoll
#

it is wrong

polar flax
#

How

tall knoll
#

So, because there was a 2(u(t))y
Added to it
which equation are you referencing?

polar flax
#

The second one

tall knoll
#

you're conflating $\dv{\mu(t)y}{t}$ with $\mu(t) \dv{y}{t}$

woven radishBOT
#

Steakanator

polar flax
#

The way they used it in the book I thought they were the same

tall knoll
#

the first is the derivative of the function "mu*y"

#

the second is the function mu multiplied by the derivative of y

polar flax
#

Oh okay

#

Cool

#

Can you tell me how they were able to compare the 2nd and 3rd equations to get the 4th equation

tall knoll
#

after the second equation, their argument is that the lefthand side looks like it's the derivative of some product of functions, ie

#

$\dv{\left[\mu(t)y \right]}{t} = \mu(t) \dv{y}{t} + 2\mu(t)y$

#

clear?

woven radishBOT
#

Steakanator

polar flax
#

Ummm

tall knoll
#

i'll tack on some brackets to make it as clear as possible

polar flax
#

But they wrote something different in the book?

tall knoll
#

ignore the book for a second

polar flax
#

But how do I know how these are related then

tall knoll
#

the lefthand side looks like it's the derivative of some product of functions,
the equation I just posted is what this argument means

polar flax
#

Okay

#

That makes sense

tall knoll
#

their exact words: "The left side of the previous equation [second equation] looks very much like differentiating the product mu(t)y"

tall knoll
polar flax
#

Okay

tall knoll
#

if you have any doubts about this, ask them now before we move on

polar flax
#

Umm okay

#

How do we get the 2(mu(t))y

#

In the equation, because they don't mention it in the sentence

tall knoll
#

that's part of "the left side of the previous equation"

polar flax
#

So does that mean that they are implying d(mu(t))y/dt = 4(mu(t))

tall knoll
#

that's the next step yes

polar flax
#

Ohhhhh

#

Okay

#

That's why you wrote it before

tall knoll
#

so therefore the two other things must be equal as well

polar flax
#

Yes

tall knoll
#

the next step is to determine what precisely mu is

polar flax
#

Okay

tall knoll
#

for any mu, we can calculate the derivative of mu*t using the product rule

polar flax
#

Yeah

tall knoll
#

so we know that:

polar flax
#

Yes

tall knoll
#

$\dv{\left[\mu(t)y \right]}{t} = \mu(t) \dv{y}{t} + 2\mu(t)y \ \dv{\left[\mu(t)y \right]}{t} = \mu(t) \dv{y}{t} + y\dv{\mu(t)}{t}$

woven radishBOT
#

Steakanator

polar flax
#

Okay

#

Yeah

#

Now what should we do

tall knoll
#

now we compare terms

polar flax
#

Okay

tall knoll
#

the lefthand sides are the same, the first term on the righthand sides are the same...

#

what about those last terms?

polar flax
#

So 2(mu(t))y = y(d(mu(t))/dt)

#

Right?

tall knoll
#

right

polar flax
#

Okay

#

Can we divide by the y

tall knoll
#

we can

polar flax
#

Okay

#

2(mu(t)) = d(mu(t))/dt

#

So we have

#

1/(mu(t)) d(mu(t)) = 2 dt

#

Is that right?

tall knoll
#

seems so

polar flax
#

Okay

#

ln(mu(t)) = 2t + C

#

Is the correct

tall knoll
#

your lefthand side should be ln(|mu(t)|)

polar flax
#

Oh yeah

#

So form more solutions right?

tall knoll
#

there's no guarantee that mu is positive yet (which would fall outside of the domain of ln if broken)

polar flax
#

Yeah

#

Okay

#

ln(|mu(t)|) = 2t + C

#

So we have

#

|mu(t)| = e^(2t+C)

#

Which is

#

|mu(t)| = Ce^2t

#

Is that the right answer?

tall knoll
#

you should resolve the absolute value situation first

polar flax
#

Yeah but how would I undo an absolute value

#

Can I put a plus or minus

tall knoll
#

go back to the definition

#

$|x| = \begin{cases} x & x>0 \ -x & x \leq 0 \end{cases}$

woven radishBOT
#

Steakanator

polar flax
#

Ohhh okay

#

So a piecewise

tall knoll
#

perhaps

#

write it all out, what do you get?

polar flax
#

$|/mu(t)| = \begin{cases} t & t>0 \ -t & x \leq 0 \end{cases}$

#

That might be wrong

#

Maybe

woven radishBOT
#

Player
Compile Error! Click the errors reaction for more information.
(You may edit your message to recompile.)

polar flax
#

So it compiled wrong

#

But the -t should be at the bottom

#

But is it right?

tall knoll
#

$|\mu(t)| = \begin{cases} t & t>0 \ -t & t \leq 0 \end{cases}$

woven radishBOT
#

Steakanator

polar flax
#

Oh thanks

tall knoll
#

this?

polar flax
#

Thats way better

#

Yeah

tall knoll
#

ok no, that's wrong

polar flax
#

Oof

#

Oh

#

Wait

tall knoll
#

you're looking at |mu(t)| not |t|

polar flax
#

I think I know

#

Yeah

#

I should have known that

#

$|\mu(t)| = \begin{cases} \mu(t) & \mu(t)>0 \ -(\mu(t)) & \mu(t) \leq 0 \end{cases}$

woven radishBOT
#

Player

polar flax
#

Is it that

tall knoll
#

we're getting closer

polar flax
#

Hmmmmmm

tall knoll
#

try to do that with your current equation as well

polar flax
#

So do I have to turn it into a piecewise function?

tall knoll
#

you already have one

#

just sub in the exponential on the righthand side of your current piecewise

polar flax
#

Oh

#

Okay

#

Why can't I use mu(t)

tall knoll
#

because our ultimate goal is to sub in an explicit function of t into the original diff eq

polar flax
#

Oh okay

tall knoll
#

mu(t) is just some unknown function; e^t and its cousins are things we can actually integrate and such

polar flax
#

But we know what mu(t) is equal to

tall knoll
#

we know what |mu(t)| is equal to

#

we're currently working on what mu(t) is

polar flax
#

Oh okay

#

$|\mu(t)| = \begin{cases} \mu(t) & Ce^(2t)>0 \ -(\mu(t)) & Ce^(2t) \leq 0 \end{cases}$

woven radishBOT
#

Player

polar flax
#

Is that right?

#

The exponents got a little bit weird

tall knoll
#

botched tex aside, that's getting closer

polar flax
#

Good

tall knoll
#

$|\mu(t)| = \begin{cases} Ce^{2t} & Ce^{2t}>0 \ -Ce^{2t} & Ce^{2t} \leq 0 \end{cases}$

woven radishBOT
#

Steakanator

tall knoll
#

this is what i was hoping you'd get

polar flax
#

Hmmmmm

#

OH

#

Yeah

#

Okay

#

That makes wayyyy more sense now

tall knoll
#

now, the next important question: what is -C?

polar flax
#

Do you mean initial conditions?

#

Or no?

tall knoll
#

i mean in general

polar flax
#

Hmmm

tall knoll
#

if C is some constant, what can you say about -C?

polar flax
#

It is C-2C?

#

Thats the only thing I can think of

tall knoll
#

that's unfortunate

polar flax
#

Hmmm

tall knoll
polar flax
#

OH

#

WAIT

#

I have an idea

tall knoll
#

waiting

polar flax
#

Ummmm

#

We could replace it with, -e^(2t+C)

tall knoll
#

we're not replacing anything

tall knoll
polar flax
#

The +C is in the exponent

tall knoll
#

there is no exponent

polar flax
#

Oh

#

I though you were refffering ot the the one I just sent

#

For that we can move all expoenetns to one side

tall knoll
polar flax
#

Because we would have 2 constant on both sides, then we can subtract one of them onto the other side and rename it as just C

tall knoll
#

so a constant plus (or minus) another constant is itself just a constant

polar flax
#

Oh yeah

#

So is it: (e^2x)/C

tall knoll
#

so if we have some constant C, what can we say about -C?

polar flax
#

OH

#

WAIT
I GET IT NOW

#

It is just another constant

tall knoll
#

it is just another constant

polar flax
#

That took me way too long.

tall knoll
#

so we're thus able to write $\mu(t) = Ce^{2t}$ for some carefully chosen constant C

woven radishBOT
#

Steakanator

tall knoll
#

and we're golden

polar flax
#

Wait

#

But how to we know C=-C, I thought we would only be allowed to replace -C with something like D

tall knoll
#

i tend to name all my constants the same thing since they're arbitrary anyway, but we can if you want

#

$\mu(t) = De^{2t}$

woven radishBOT
#

Steakanator

polar flax
#

Oh

#

They are arbitrary

#

I forgot

#

I was focusing on the fact that it was negative

#

Okay

#

So we removed the absolute value