#discrete-math
1 messages · Page 184 of 1
the inverse is really just asking : "i got here using f, and i know i can go back to one and only one point because f is a bijection, so then how do i do that"
yea so you have to swap x and y and then solve for y
and thats my inverse?
yup
so then what is also this bs???? it seems like symbols makes things 4 times mroe confusing...
so this is saying
(if you ignore all the stupid case-switching)
For any y in Y, the x that caused f(x)=y, is the same x that causes F^{-1}(y)=x
and there is only one such x
pretty much things are flying back and forth
between codomain and domain
well not really
we weren't yet allowed to assume the inverse existed, at that point in the proof
well, this is just a more cumbersome way to get the proof done imo
yeah i thought so because onto doesnt prove one to one and we need that to make an inverse
i was just pointing it out to make sure it wasnt just a coincidence
yup he knows
yeah i wanna be technical becase like
weird prof
and also first proof class and i have no clue what happening lmfao
(in the wild, one of the most convenient ways to prove a function is bijective is to just go "look, here's an inverse and it works!")
yeah so a function f is bijective if and only if it's invertible
wait wait
inverse proofs bijective?
they're the same thing
...
read this
see my comment here
oh.
wait so
is one to one subjective then?
since onto is injective?
huh?
ohhhh
onto isn't necessarily injective
so onto is surjective
yes
and one to one is injective
yes
i think it's shit terminology
ohhhhhhhhhhhhhhh
oh that makes sense
surjective + injective = inverse possible
thus bijective as well
okay okay
one-to-one (aka injective). And onto (aka surjective). And one-to-one correspondence (aka bijective)
You can see each of those as guaranteeing any potential inverse makes sense
Like, there are two things about functions
It has to be defined at every point of its domain
I can't just plug in a value and have the function tell me nope
yeah this is called everywhere defined. We also require well-defined
otherwise it's not part of the domain
And second thing, you can't have one input sent to two different outputs
this goes wildly against everything we want functions to be
if you picture these two scenarios in your mind with arrows
Then reverse the arrows
The first one cannot happen if the function is surjective
and the second one can't happen if the function is injective
let me draw it
okie
actually no that makes sense its fine
i was looking at this as you were explaining
okay finally this all makes sense
now as long as i can actually retain this info
@deft dock Another cool fact, showing that a bijective function exists between two sets (the domain and the co-domain) shows that the size of the domain equals the size of the co-domain
ohhhhhhhhhhhh that also makes sense
since every Y must have an X
okay cool
thanks guys
well it's cuz each Y must have exactly one X and those X's will never be the same for another Y since f is a function is injective
You're welcome!
ah
wait actually can we do one final check?
sure
read this edited comment^
I made it more clear
yup saw it
dope
wait actually hold on
is this inverse correct for
this?
because im looking at this question and all the inverses are in terms of x...
well, setting it equal to y is convenient because it helps you keep track of what is what
but the name actually does not matter
f(x)=x or f(y)=y are both the same thing
okay dope so this is fine then?
the one with the big x? if so gotcha
this one
yup yup
oh also, beyond trying to actually invert the equation, you can also just check that f(f⁻¹(x))=x
that's what the inverse is meant to do
to find the inverse you swap x and y and solve for y @deft dock
(though be careful, the other way around doesn't work : you can have f(g(x))=x without f and g being inverses ; heck, they may not even be bijective)
okie
gotcha
(if you want a convincing example, f(x)=floor(x/2) and g(x)=2x, on the integers)
is my understanding of this correct?
are you dealing with directed or non directed graph ?
this is because the sum of the degrees isn't even
prob nondirected
The first requirement is that the sum of the degrees be even.
"No such graph exists, as there is an odd number of vertices with an odd degree rather than an even number. Also the sum of the degrees isn’t even"
?
unsure it just says graph everywhere
you can state it in an easier way
yes please
you can say. The sum of the degrees is odd. So this can't possibly be a graph.
how a non directed graph with 5 vertices can have a vertex of degree 5 though, it can only be maximum 4 right?
wait dont i have to include the other part?
the prof does
okay, then include the other part
my prof would be fine with just the sum
but def do what your prof suggests
okie
@snow sleet sum of degree = 2 * number of edges right ?
yes
okay
otherwise the sum isn't even
this is why you can just focus on the sum
because what happens with the terms, affects the sum
ah understood
also is there a difference between simple and just graph?
simple graph vs just graph?
yeah if I'm remember correctly, I think simple graphs don't allow loops and doesn't allow multiple edges between a pair of vertices
a quick google search confirms this
ah okay
do the same rules apply?
in terms of finding out whether or not it exists?
yes
So loops don't change the test for whether it's not a graph because it adds an even number, 2, to the degree sum. @deft dock
It comes from the fact that whenever you add an edge, there are two nodes that increases degree by one
yes understood
?????
why did she draw two between v1 and v2...
wait
LMFAO
good question.

wtf
she says:
"We took advantage of the idea of parallel edges"
idk what that means
in the video
that is a graph, but not a simple graph
because a simple graph doesn't allow multiple edges between any two vertices
yeah thats what im thinking
its the last day of the semster and she hasnt responded to any emails so wtv ig
ill just keep it in the back of mind
yeah I'm not sure what she's thinking
yeah she doesnt mention the not being allowed to have multiple edges between two verticies
only the loop part
when I took graph theory, all we talked about was simple graphs and my prof always made it clear that we weren't considering graphs with loops or parallel edges
and google confirms that
yeah no multiple edges are allowed between any two vertices
wait what
ohhhhh i read it as "yeah no, multiple edges are allowed between any two vertices"
oh
instead of "yeah, no multiple edges are allowed between any two vertices"
put the comma right after yeah
I have an exam on graph theory and network theory tomorrow
also what
it is giving serious headache
hee hee i finish the semster today and my final is on Thursday
are you asking how to do this?
yup sounds like graph theory lmao
yeah
okay, so first off note that if the sum of the degrees isn't even, that can't be a graph. This doesn't mean that if the sum of the degrees is even, that it can be a graph.
oh.
Since the sum is even, you need to go further and look at whether (5,3,3,3,2) is a valid degree sequence
there's a method for this that I'm blanking on cuz it's been a fat minute since I took graph theory, but there's a method that allows you to reduce those numbers down so you can determine if it's a graph
does it involve any of the answer choices up there?
it's multiple choice question
look at other alternatives
rule them out
always harder to explicit construct a graph with given property
well i have no clue because our prof did not give us rules for simple graphs
literally did two questions and left out an entire rule (which im now just learning)
oh lol made a guess
I think the third one is correct
yeah
yup got it; is that a rule i should keep in mind?
and only for simple graphs right
nope
right
Okay let me explain
so consider a complete graph...all of it's degrees are maximized
a complete graph is a simple graph too
you know what a complete graph is, right?
okay, then think about it this way:
and then moves on to something called Euler something idk
if some degree is >= the number of vertices, what does that mean?
doesn't that mean a loop occured or multiple edges?
is that greater than or equal to?
yes
wait let that sink in one second
ohhhhhh yes yes
multiple for different verticies
makes sense
ah so if that happens its no longer simple
so if some degree is >= the number of edges, then the pigeon hole principle guarantees the graph isn't simple anymore, a contradiction
pigeon hole

yup it's very helpful in counting
this means there are 6 verticies correct
because 9 edges means 18 total degrees
and if each verticie has 3 degrees, then 6 verticies
yeah this is because each edge contributes to the degree sum at each edge. Hence the degree sum is 2*9=18
and then divide by 3 since all vertices are of degree 3.
yup good @deft dock
is shortest path in directed graph preserved under positive length scaling ? yes right ?
I'm not sure on that one @zinc marsh
jeez are you guys in a like discrete math on steroids class?
<@&286206848099549185> Anyone know the answer to @zinc marsh 's question?
half the stuff you guys mention ive never heard of
I have a proof in my head
lmao no it's graph theory
for that
ohhhhh lmao
writing that down
I took graph theory a couple semesters back
I didn't like it all that much tbh
too many definitions
Call the original length function c. Let m1,m2,m3,... the possible path lengths under c. Say m1 is the the minimum length. Under scaling it becomes km1,km2,km3,... for some positive constant k
we already know that m1 <m_i because it is the minimum by assumption.
Then we have km1 <km_i
so it is preserved
sounds good ?
sounds good to me from an algebraic standpoint. I'm still not sure if that holds in a graph theory perspective
Well i will know the answer after I submit it 😄
LMAO
I slacked off too much during semester
Now doing all the exercises
this night
it's 2h13 AM now ))
it is correct
But wow
shortest path is not preserved under length addition
ah yeah of course
now that i think about it, some paths can pass throughs more node than others
so under length addition it will stretch out more
this doesnt have an Euler trail correct?
because more than two points have an odd # of degrees?
and could someone check this?
<@&286206848099549185>
Does there always exist non-negative integer m,n s.t: mp+nq=1 when p,q are coprime?
By bezout we know that m,n exists when it's only integers
we know (m+kq, n-kp) is also a solution, so it should be possible to force m to be positive
but I don't think we can always force n to be positive
ah
nvm
i understand it
Not necessarily
See the chicken nugget theorem for an explicit bound
Assuming p and q are positive
@civic horizon Yeah you are right. The problem was my translation of the verbal problem to mathematical problem, it was wrong there is a sign error. The statement itself is false.
is that the actual name of the theorem?
Thats the name i know
that’s awesome lol
Its pretty cool
I think the name comes from a numberphile video where they try to buy 43 nuggets
Which is impossible given how many nuggets mcdonalds sells at a time or smth
the coolest theorem name i have heard of: Monstrous moonshine theorem = )
i:=1 definition ? can someone help me out rq so i dont have to search through my textbook
??
i := 1 to n
is this part of an algorithm description or something?
the " := " is what i dont understand
is this Pascal code?
if it is, := is the assignment operator
and generally, := is used when you're either assigning a value to some variable or introducing a new notation by defining it to be equal to something
okay great
yeah
this is just a for-loop with the variable i going from 1 to n
incrementing by 1 at every iteration
gotcha thanks, the ":" through me off
what does a loop of a matroid look like in its geometric representation?
its only proper subset is the empty set, which is independent and so contained in every basis, but what would that look like in a drawing of a matroid?
Is there a biconnected eulerian graph which is not Hamiltonian?
Hi, how to know whether a group is isomorphic to another or not?
Try to find a group isomorphism (bijection that respects group properties) or show that there cannot be one :)
Ok thanks
Isn't there a way to check with something like checking whether they're relatively prime or not?
I heard about that
Also, are all groups with a prime order cyclic?
You might want to look into the Chinese Remainder Theorem
Okay I'll do that
And about this?
Also, can one use Euler's method for gcd in polynomials?
euler's method?
Maybe you mean euclid’s method? In that case yes you can
please help
@waxen nest do you know how to construct in- and post-order traversals?
it's a simple algorithm
nope
so you don't know what those things even are...
for an in-order traversal, you:
- traverse the left subtree
- visit the root
- traverse the right subtree
in that order
traversal of both subtrees happens recursively of course
so what will you get for the post order and in order for the tree? I think it would be easier for me to understand if you could explain it based on the tree example
i'm going to construct an example of my own so as not to just give out the answer
if you visit the vertices by the numbers in increasing order, you get the in-order traversal
if you visit them by the letters in alphabetical order, you get the post-order traversal
does that help clarify things for you?
shouldnt vertex B be 3 for in-order traversal ?
not really.. i kinda understand how to do the traversal in this one but not the example hmm
ye i was thinking this too lol

yea
in order
okay
look at this tree
we need to identify the left subtree, the root, and the right subtree
what letter is at the root of your tree?
U
correct
now, use MS paint to highlight the left subtree of the root by surrounding it with a rectangle
note that either subtree may turn out to be empty at any point within our process
?? theres no left subtree of the root?
and that's exactly why i said subtrees may be empty
the left subtree of the root is empty. there is nothing there
ohh okay
so since we're doing in-order, after the (currently empty) left subtree comes the root
yes
so for our traversal, we will now write down U at the beginning
okay
ok thanks
okay sorry i just came up with a better way to visualize this i think
so we started with this, when we identified that U will come first in our traversal
now we split that big tree into its left subtree, right subtree and root
and just keep doing that until all the nodes are alone
does this make more sense to you?
so theres 2 root here? S and I?
so we have U N I and then whats the next letter
well then we have that subtree that i haven't broken down yet
i was expecting you to keep going on your own
suppose i was wrong to do that
the next two steps are this
oh okayy nice
but what if we are given the inorder and postorder
and then asked to construct a tree based on it
what is the thought process behind it, like how do we know when to go left or right since its not as easy as inserting numbers in BST
in the post-order traversal the root always comes last
in the in-order traversal the root comes between the left and right subtrees
start with that
@waxen nest
ohh can i dm you?
no, say whatever you wanted to say here.
What’s a good book to start with
ik a vvveeeeery nice book for proofs n logic (but none in a broader field for discrete)heh
its "how to solve it" by g. polya :D
its like so 🤌 when u read through the logic its amazing
@dim geyser yo bro
@dim geyser hello
Hello anybody
@median dagger hello
@rugged forge hey
@cerulean wind its u again
stop mentioning people. do u have a question or not
I do
go ahead and ask it then
How was the length incorporated??
@cerulean wind so it's like this now I just wait😬😭
i’m not entirely sure what this is so i don’t want to answer. im sure somebody else does tho.
however, this feels more like a calculus/multi-variable calculus question to me. definitely not discrete math
@next thorn Don't ping users at random without their prior consent.
@gritty crescent consent to ping people
Hey csn I ping u lmfao
thank god
would this be an appropriate proof?
my prof did sum weird bs and brought in arguments so im trying to see if my way works
yea this works. every element of A is in A U B
pog
This works. Not sure why any one's proving this though because this proof is trivial
no clue either im just studying for my final and making sure i know everything
because i made some stupid mistakes on the last test we had
Exhibit A:
i cried after seeing i got this wrong
Ah gotcha
Lmao way to go
It would help if you posted that in english @tight radish
I'm guessing you're trying to prove those equations by induction
yes
okay I can help you with this then
"for all natural n large enough"
thanks!
what do they mean large enough? Shouldn't it be for all natural n?
induction only works if we know where n starts from
a predicate p (n) is said to be true for all n large enough if there exists a n0 E N such that:
An E N ....: p (n) is true.
Determine which of the following three predicates are true for all natural n large enough
yes very hard
@tight radish @remote cosmos will help you as I can't speak spanish and @remote cosmos can
si viste inducción antes, lo que significa strong es que es más estricto que lo normal
significa que no es verdad para todos los valores de n
en vez, es verdad para los valores de n después de un valor específico
no sé cómo le dicen en español ya que todo mi entrenamiento matemático fue en ingles
pero me entiendes?
ah si, justo me fije y tiene el mismo nombre: inducción fuerte
un ejemplo muy típico, la diferencia entre n! y 2^n
cual es más grande?
2^n??
miremos
2^1 =2
2^2 = 4
2^3 = 8
2^4 = 16
2^5 = 32
y n!?
1! = 1
2! = 2
3! = 6
4! = 24
5! = 120
parece que empezando n=4, n! es más grande...
entonces para éste tipo de situación sirve la inducción fuerte
porque podemos decir que, empezando n=4 en adelante, n! > 2^n
y basta nada más comprobar el caso de n+1
como se hace en la inducción regular
entiendes?
entonces lo que busca tu pregunta es: esas ecuaciones tienen algún valor n al cual empiezan a ser verdad desde ahí hacía el infinito?
@tight radish, dime si te queda alguna duda
y si no: suerte!
y este
somebody know how to solve it?
What does the question translate to in english?
for a predicate p(n) we say that “p(n) is true for all natural numbers n sufficiently large” if there exists an n_0 in N such that for all n>= n_0, p(n) is true.
consider the following inequalities:
….
which of the inequalities are true for all n sufficiently large?
that is what is says up to “Orientacion”
the bottom choices give options like only 1 and 3, or only 1, none of them, etc
do circuits always have to have the least amount of gates?
like for this one, for P and Q and ~R, could we have done them all separately and feed them all at once into an AND gate?
as in getting rid of the black one
Thanks
wait actually...
if we did that we'd have less gates
so im guessing they dont always have to have the least amount of gates?
and we can just draw however?
It depends
Different gates schemes will have different time complexity
Usually have to draw to some specification
But also does this go in discrete math? This is a computer arch question

@remote cosmos bro viste la ultima que envié? sabes resolverla?
Qué probaste lucas?
what was that
version of fermat's little theorem
where p is prime and b is a positive integer less than the value of p
b^p=b mod p?
I legit forgot
but I know there were different forms
@remote cosmos
Some people write b^(p-1)=1 modp but these are really the same pretty much
ok thanks saketh
Np
do you know how to use the probabilistic primality test?
trying to figure out if 11 is prime
No i don’t
I think it might be
There are a lot of probabilistic primality tests, which one do you mean?
the main one. I just want to prove if 11 is prime or not.
thanks bro
have you used the probabilistic primality test before?
no hay un problema bro
shit i dont actually speak spanish lmao, sorry if that sounds weird or whatever
lmao
there is no main one
no
how is that?
11 is odd and doesnt end in a 5 so its probably prime
why is this the case...
try using the fact that $(P\rightarrow Q)\leftrightarrow (\neg P\vee Q)$ and the idempotent law, assuming its allowed, that $\neg(\neg P)\leftrightarrow P$
coycoy
(red bit)
does anyone know what 'ordered r-tuple' mean
I feel like skipping the section because the book
basically an ordered list of length r
oh
so order matters and duplicates are allowed (unlike for sets)
understood
well no its not a question; shes saying to just do it in general...
also how does the bottom part make any sense???
shouldnt it be (p -> q ) and (q -> p) = p < - > q ?
instead of r?
yes it should
I got the answer as 1023×4 can someone check?
okay this is a little confusing
i can write a formal proof saying that it is one to one
but also find a counterexample?
beacuse i can say:
Let x1 and x2 be any elements Z such that h(x1) = h(x2)
Thus, (x1)^4 = (x2)^4
Hence, x1 = x2 so this is one to one
But a counterexample would be to let n = 2 and n = -2. n(2) = 16 = n(-2)
all of a sudden its not one to one
could someone clear up if im doing something wrong?
The thus (x1)^4=(x2)^4 and therefor x1=x2 is wrong because of for example your counterexample
but how would ik its wrong?
Because a number raised to an even power is always greater or equal to 0
what?
but how does that help me?
like im trying to say that if i started to write a proof, and i saw that x1 = x2, i would have just said its one to one without trying to look for a counterexample
Well you can’t just go from (x1)^4=(x2)^4 to x1=x2 just like that
What made you think you could
taking the 4th root of both sides
Just like x^2=1 has two solutions, x=+- 1 so does x^4=1
When taking root you have to add +-
hmph okay just realized thanks 
Can you show how you arrived at that?
a1 can be 2,4,6,8 - 4 choices
a2 can be anything so cases:
i) 1 then a3....ak can take (9 C k) numbers where k varies from 0 to 9
(We choose k number and arrange it in ascending order)
ii) a2=2 now the rest can take 8 C k numbers so proceeding similarly I get: sum 9 Ck + sum 8 C k +... upto a2=9 so a3 has to be 9 so answer =4(2^9+...+2+1)
is this correct
Logic seems good
abs_0
ignore
no. just take x = y = z = 1 to see that it’s not 8
Can someone explain why the last line is true
<@&286206848099549185>
Each strip contains 2rt(n) vertical side lengths and the total length of all strips is 1
Do you have the rest of the proof btw?
I do
Can I see it? 👀
Ahh i get it, idk why i was so confused
yeah 1 sec
Thanks!
how do we solve recurrence relation when its raised to a power?
like b{n+2}*b^3{n} = 4b^4{n+1}
You don't
😭
theres a hint to use bijection
Take logarithms on both sides
so itd be log(bn+2) + 3log(bn) = 16log(bn+1)?
so an+2 +3an = 4an+1 + 2
Yes
omg ty
is that the same thing as substitution
of f(x) --> 2^f(x)?
since its bijection^
how to count # of bijective functions
from {1,2,...n} to {1,2,...n}
such that f(f(x)) = x
for all x in {1,2,...n}
using reccurence*
like suppose an = # of bijective functions satisfying this property
then # of bijections w this property from {1,2,...n-1} to {1,2,...n-1} is an-1
and # of bijections w this property from {1,2,...n-2} to {1,2,...n-2} is an-2
is it just an = n*an-1?
since we picked the first element
Yes
doesn't this imply f(a)=b => f(b)=a
yea
so say Tn is the number of such func for 1..n
then Tn+1 😦 that n+1 goes to n+1) + n+1 doesn't go to n+1,
tf
$T_{n+1} = T_n + nT_{n-1}$
Ryuzaki
Uh isnt that just
wait do you have to use a recurrence relation
Tn = n Tn-1
i believe i can come up w/ an explicit formula
well, explicit-ish
i was using tn x^n/n!
he did ask for recurrence
err yea before, but i found it, now need a formula for tn haha
$\sum_{k=0}^{\floor{n/2}} \frac{n!}{2^k k! (n-2k)!}$
Ann
$T_{n+1}-T_n = nT_{n-1}$ and adding them up may give an explicit one
i think it's this
Ryuzaki
each term in the sum is the number of permutations which swap exactly k pairs of points
or at least, each term is meant to be that
i am strongly suspecting i might have gotten something wrong
is this formula correct? shouldnt it be$T_{n} = nT_{n-1}$
Ramtin
i think i need to provide closed formula 🥲
but ur a genius for coming up w that on spot LMFAO
T1=1, T2=2, T3=4? am i correct?
your formula gives T3 = 3*T2 = 6
Well i might be wrong idk
like if we have n+1 things, we can map the n+1 th to n+1, so that gives us Tn
Now if we map n+1 to any of 1,2...n, we have Tn-1, but as we can choose that to by n ways so nTn-1
Ummm
that's why Tn+1 = Tn+nTn-1
it should be Tn = nTn-1 cuz we map first object
then n-1 objects left count them in Tn-1 ways
no because after u map the first object, where it maps to also must be mapped back to 1
so we loose 1 DOF there
yea like you have nC1 options to map
then u map it as an input
but the output loses one option too
and we need the rest of the [n-1] to [n-1] to map according to restraint
in Tn-1 ways
calculate first few values of Tn then compare ig
also you may be forgetting that we can map 1 to 1 also, i.e. f(1) =1
either f(1)=1 or f(1) = a which case f(a)=1
Hm
This is correct, just to confirm.
Suppose you have n+1 elements. Fix one of them and call it x. If x maps to itseld, then you just need to construct f for the other n elements (T_n ways of doing this). If x maps to something else, say y, then y also needs to map to x. So you need to construct f for the other n-1 points, and also take into account there are n choices for y.
So T_(n+1) = T_n + nT_(n-1)
good
Yeah, I think something like that
Tn = (n-1)Tn-1
Wellll if thats case time to change my reccurence formula
w generating functions
ty guys
wait is this true too?
So tn = tn-1 + ntn-2, any idea how to solve it explicitly
.
It would be (n-1) in the second term
oh yea
I mean T_n = T_(n-1) + (n-1)T_(n-2)
Damn they only give t0, i need to solve t1 aswell
cuz this reccurence only defn for n bigger than 2
or equal
Number of bijective functions from {1} to {1} isn't hard to find
let me graph my thing
yikes im supposed to use exponential generating function to solve it
and take derivativez
🙃

,w T(n+1) = T(n) + n*T(n-1), T(1) = 1, T(2) = 2
lmao rip
Does anyone know of an example of a not-too-difficult result about finite graphs that makes sense for and happens to also be true for infinite graphs, but requires a different - more difficult - proof?
that's a strange type of question
Menger's theorem might be such an example
On same question
This cant be right...
e' = e(1+x) + 1
is like
not solvable on any ODE calculator
This is definitely solvable by parts
NVM
im an idiot
b1 = 1
and
then theres no +1 at the end
and then its very easy ODE
otherwise
it was ODE that needed erf(z) function or somethin
😭
Let's go at a simpler question first. Given that you flip a coin 7 times, what is the probability of exactly 4 heads? @runic blade
If you ever see a symbol you don't recognize, you can (usually) go to http://detexify.kirelabs.org/classify.html and draw it, and it'll tell you what it is
An approach to simplify finding LaTeX symbols.
that is fantastic thank you
can someone point me in the right direction to start this?
do I need to prove that it works for all n in N and all r not equal to 1, or do I only need to prove the part about r?
either way I’m a bit stuck on what to do with the two variables..
fix a real number r not equal to 1 and show that the claim is true for all natural numbers using well ordering and then induction
there is also a direct proof without using induction or well ordering
Do you mean just prove it for all n, and not worry about proving it for all real numbers, r?
Because I can prove the part without having to specify r super easily…
i’d just do something like this
base case:
1 = (1-r^(1))/(1-r) = (1-r)/(1-r) = 1
inductive step (n => n+1)
1 + r + r^2 + r^3 + ... + r^n = (1-r^(n+1))/(1-r)
add r^(n+1) to both sides...
1 + r + r^2 + r^3 + ... + r^n + r^(n+1) = (1-r^(n+1))/(1-r) + r^(n+1)
= (1-r^(n+1) + r^(n+1)(1-r))/(1-r)
= (1-r^(n+2))/(1-r)
Fix a real number not equal to 1 just means r is an arbitary value not equal to 1 which value doesn’t change (so fixed).
You could also just add for all r not equal to 1 in every line but that is rather annoying
once you use it for any arbitrary r not equal to one, you will have proven the statement for any r not equal to one, just as scape prof said
Open-ended question: Can you deduce Plancharel’s formula for the Fourier Transform from the Parseval relation for the Discrete/Finite Fourier coefficients, using a limit argument?
Can someone help with specific answer.
Thanks so much @proven silo and @cerulean wind
if you guys are still interested in my little problem, I’d appreciate a quick glance over what I’ve come up with for the well ordering part
do you mind just sending an image?
ah sure I didn’t do so at first because it’s a bit lengthy, what with all the proper etiquette :)
hmm. not sure why you have the contrition that r >= 2 when you have just fixed r in the set C
Oh that was from something else weird I was playing with
Should be all r not equal to 1
is there a software program that generates duals of planar graphs (as a picture)
why is n^2log(x^2) big-O simplified as n^2log(x) and not n^3? Shouldn't log(x) just be O(x), then the product rule would multiply them?
I mean ig that's technically correct too, but loses precision?
I assume you mean n not x in any case
i'm just asking because the expected answer of a question is x^5log(x) and not x^6. is there a rule of when to keep log(x) and when to simplify it?
log(x^2)=2 log(x)
so n^2 log(n^2) is just 2 n^2 log(n)
i know, then the 2 is irrelevant
i'm asking why xlog(x) isn't further simplified to x*x then x^2
so is there a rule determine when one should, or should i just never simplify log(x)
always keep it I'd say
sounds good
well should xlog(x) stay but log(x) be simplified to O(x)? my professor didn't tell us when to simplify and when not to
i don't see why you'd ever want to change log x to x unless i'm missing something
ig it's more complicated functions you might simplify?
i honestly learned everything i know about big-O simplification in the last 6 hours, ive had to simplify log(x) for some prior questions but now I don't
so i'm assuming i just should avoid it
sometimes in an induction proof you want to do this to get a certain expression
but in general the log(x) says more about the behavior
than not having it
good to know, i'll be learning induction proofs later today
guys
don't know where else to ask this
but uh
for transitive relations
if a R b and b R a and b R c and a R c but a not R a, is A transitive
Well, if aRb and bRa, and R is transitive, then aRa
So if you don't have aRa then R is not transitive
Quick fix: the goal is to determine if R is transitive, I don't entirely know what A is.
it is false
consider empty relation
vacuously transitive but not reflexive
@iron marsh how dare you miss this
((p ∧ q) ∧ r) ∨ ((p ∧ q) ∧ ¬r)) or ¬q)→ s
how to I get started on simplifying this?
we haven't learnt that
Commander Vimes
if you have long ass expression A nested in long ass expression B you can denote this expression by single letter A or whatever
to simplify writing
oh yeah we use a and b
dont know how
Does this mean to say that a single element b serves as the inverse for both operations?
If so, can someone help me prove it?
no it doesn't, its pretty badly worded
the b's in the two equations can be different
Think about F_3 with a = 1 for example, you have that 1 + 2 = 0 but 1 * 2 = 2 not 1
Alright yeah. It seemed weird because I could not confirm it from google.
Thanks for the counterexample as well :)
for j
Basis: delta, b elements of S
Induction: If x is an element of Sm then a(2x), b(2x+1) are elements of S
Is that a correct answer?
I'm not familiar with this notation for strings, but wouldn't you get e.g. aab using this definition?
are you sure the symbol your course uses for the empty string is δ and not λ?
also i still don't know what you mean when you write "2x"
Yeah that is quite strange
I think you're allowed to condition on whether the string contains a or b
if x is a nonempty string in S, then the string formed by attaching two copies of the first symbol of x to the beginning of x is also in S
and the initial elements of S will need to be "", "aa" and "b"
How to prove it is pretty good I'm told
But it depends on what you want to do, discrete math is not one thing
Eight people including A and B seated around two identical tables, each having capacity of 4, The number of seating arrangements possible so that A and B are not on the same table is.....
dev1ce you're asked this in 5 different channels already
have you even attempted the problem? @median jackal
show your attempts and some ppl might be willing to help
The phrasing of the question makes me less likely to attempt it, seems as if you're demanding an answer
<@&286206848099549185> could someone help me with this question
@distant glade I solved it 🙂
So first, try to find the probability of a flush. This should not be too hard.
Next, note that the second condition really isn't as bad as it looks. For instance, 3,4,5,6,8 is NOT a sequence
i think i figure it out thank for your help
if anyone know this one
pls help
These just require an understanding of the definitions involved
Which one don't you get
We have been using an upside down V symbol to indicate empty strings.
Also, I revisited the problem today. I did two conditional if statements:
Basis: Δ, b elements of S
Induction: If x is an element of S, and a is an element of x, then aax is an element of S.
If x is an element of S, and b is an element of x, then bbx is an element of S.
hmm wait that wouldn't work because a is not an element of Δ
instead of 'a is an element of x' I could just say 'b is not an element of x'
cpl
good point
Can someone offer some guidance here
I tried doing by cases but there are way too many combinations to consider
Assume (b) is false (because if it were true then you'd be done), and try to show that (a) must be true
@warped pecan
@faint narwhal then there are no three vertices I can choose such that there are no edges between any two of them
I'd think more about the contrapositive
In other words, for any three vertices, there is an edge between at least two of them
Isn’t that the definition of a cycle
Ahh no
At least two
Does this have to do with choosing?
I'm not sure what you mean by that
Like 6 choose 3 and then so,etching about the two vertices that have an edge between them?
not really
Pick a single vertex and look at if its connected to the 5 other vertices
I mean it has to?
why?
So say yo7 form two groups of 3
There has to be at least one edge in each
But then we said we are not in b so we need to add an edge in each group because I can always grab the two unconnected vertex in one group and one from the other and have them not be connected
But this doesn't tell me why every vertex must be connected to some other vertex
Yes
so you must have at least three that are either connected to this vertex or not connected
by the pigeonhole principle
Wait why
there are 5 vertices
each one of them is either connected or not
Imagine trying to put 5 balls into two boxes
one of the boxes must have at least 3 balls
Ahhhh yes
So for each vertex there are three vertices that are either connected or not to it
okay so how do you conclude?
Again, think about your first vertex
You know there are at least three connected or three not connected to this
split it into two cases
If there are at least three connected that does not imply a cycle right because it can be like a-b a-c and a-d
When we say at least two not connected the other three can still be connected right
b looks good, but j seems to be a bit wrong. Firstly you have two different things you are calling t, the tail of the list and the size of the list. Secondly, your definition will always just give us a list of size 2, infact your definition doesn’t even mention x_t and x_(t-1) on the left hand side but then uses those two things on the right.
to create a list of size n of entries <x_1, ..., x_n> , I would do:
j(n)= if n>1, then j(n-1)::(x_n)
so for this I might do something more like:
f(g,h,t) = if t>1, then f(g,h,t-1)::(g(x_t),h(x_t)
I suppose I could just do f(t) right?
f(t) = if t>1, then f(t-1) :: (g(x_t), h(x_t))
or:
f(g(x_t), h(x_t)) = if t>1, then f(g(x_t-1), h(x_t-1)) :: (g(x_t), h(x_t))
Look, f as a function will take g,h and a list (say x::t). What you’ve written here doesn’t particularly make sense. So if f(g,h, x::t) is given to you do you see how to recursively make a list? Something along the lines of (g(x),h(x))::f(g,h,t) will work. You can make your idea work too, but you’ll have to write it up differently, you need to write the list as b::e where e is the ending of the list and b is the entire list except the lasf part. Then you can do something like f(g,h,b::e)=f(g,h,b)::(g(e),h(e)). Its just that usually lists are inductively defined with the head as the first element followed by tail of the rest of the elements
Sorry for the late response
any hints on how to prove the theta portion of the question?
the textbook uses x::t and I guess I just don't understand how that is a list. Maybe I need to read more.
a list beyond <x,t>
**
Ah ok, so here is an explanation for the notation, a list [1,2,3] can be written as 1::[2,3]. So basically what it means is that x is an element, t is a list and x::t is the list you get by putting x at the start
so x::t = <x,t> ?
or is it <x,t,...,t_n>
my book doesn't explain this, at least not in this chapter. it's just gleaned vaguely in the answer key once
Ok, then let me define some notation, it might be different from your book but it shouldn’t be too much of an issue. My lists will be elements separated by commas in a square bracket. So [1,2,3,4,5] is a list. Now given a list t=[t1,t2,..,tn] and an element x. The list x::t is the list [x,t1,t2,…tn]
that makes sense, thanks
So a list [1,2,3] is actually defined internally as 1::2::3::[]
It's just the ::, or cons, operator all the way down
Does anyone recognize this sequence set? {(7,4),(6,3,4,0),(0,0,0,6,2,2,3,4)} the sets are ordered so 7->4->7->... etc
what do you get if you take the set who's only element is the empty set and delete the empty set from it
?
I'm not sure what you mean by delete, but it seems you would just get the empty set
${ \emptyset }$ - $\emptyset$
stroggoz
you dont get something like ${ }$ ?
stroggoz
i dont know any set theory
mymoomin
ya latex did same thing for me

nvm
@bold relic

