#discrete-math
1 messages ยท Page 95 of 1
Oh yes, it is
is Q the same as q on the paper?
Also, as for you dreams thing, if you assume that each of your 3 premises are true, then "I am hallucinating" must be true, right?
But it makes no mention of elephants running down the road
So it could be either
Right?
well, if you assume the premise of Q -> R is true, then you don't need there to be elephants, right?
Wrong wording, rather
You know that $P \lor Q$ and you have that $\neg Q$ is true, right?
Darkrifts:
So you have that P must be true, yes?
Oh your right! I didn't even think of that
So I do not see elephants running down the road must also be true
Not necessarily
Because of the (neg)q
Wait that relates to the bad dreams
My bad
So it could be true also
You have $\neg Q$ and $Q \to R$
because $(Q\to R) \iff (\neg Q \lor R)$ if i remember correctly, the right hand side must be true by assumption
Darkrifts:
which provides no information on R
Gotcha
yeah, this all stems from me assuming "premise" is an assumed true statement, so make of that what you will
And does the proof look good?
i see a q and a Q so if they're the same thing I'd recommend being consistent with notation
gotcha
But yeah as long as Q is equivalent to q you're good
maybe work on some neatness and a bit of it feels meh to me, but seems ok
Looking a the dreams thing again
(neg)q is stating I am not having bad dreams
so would that instead prove "I am hallucinating" to be true?
You have P or Q
so that means at least one is true
and knowing that Q is not true tells you that P must be
Understood
proof in real meffmememticics for you, @ivory badge
Still can only barely read anything in agda
That's Coq.
Represents the "type of all types"
ah
Hello people ๐ could anyone explain to me why this is the outcome of this problem?
incl-excl
?
inclusion-exclusion formula
which is?
nm found it, thanks!
the thing is that i tried for so long to do this logically and i couldnt find why he subtracts one while adding the other
nm kinda found it
Are we advised to practice discretion while we participate in this field of math?

How do I keep my brain from exploding whilst trying to learn this subject?
by reading through any text you're handed twice
Good plan
Hello! could anyone help me solve this problem?
G simple planar graph with at least 4 vertices. We need to prove that G has at least 3 vertices of degree lower than 6
if anyone has an answer, please ping me
i tried some stuff with euler but to no avail
im just starting in graph theory so im no expert
Think about using Kuratowski's theorem
you can think of it that way yes
i am really not sure how that would help, i havent seen any similar problems solved so i dont know how you are supposed to go about it, if you have any material (like solved problems on graphs) that would be greatly appreciated (or even the solution or the way to go about solving this one).
the thing is i have to go now so i cant really chat about it rn .-.
Think about it. If you know your graph is planar, combined with Kuratowski's theorem, it tells you something about your graph
that it doesnt contain a subgraph that is a subdivision of k5 or k3,3?
Right
so?...
Thank you very much @weary tiger
No problem
someone help pls
lmao I thought it was upside down for a moment
now that I've had a closer look at it, it looks like physics
this is also their first and only message
very mysterious

could anyone maybe take a look at the problem i posted above? :p
nm i found the solution, but it didnt have anything to do with kuratowski's theorem though
can someone walk me through the process of doing this:
express {xy: where x โ {0} โช {0}^2 and y โ {1} โช {1}^2} using the roster method
@opal obsidian is that tensors lol?
Yeah ๐๐
Oh god that looks scary af
Is there any way to prove by strong induction by hand?
Or would you just need a computer program to verify it
huh
what
what
You can defo prove things using strong induction by hand
how tf did they prove shit back then
they shouted really loudly
I've never used a computer program while using strong induction
I've heard of programs that can process math concepts in general

so how does one prove by strong induction if there's no way to test every possible variable n?
^
I forget strong induction, but does that say that 1 being true implies that for some a, n < a is true?
Strong Induction. Instead of assuming S(k) to prove S(k + 1), we assume all of S(1), S(2), โฆ S(k) to prove S(k + 1). Everything that can be proved using (weak) induction can clearly also be proved using strong induction, but not vice versa.
you might need like 2 base cases in some weird instances but generally 1 is enough
like we are just more complicated versions of computer programs :))))
What you have to do is show that s(1) implies s(2)
no
show that if everything behind it is true, then k+1 is
Would that be enough, @ivory badge ?
whenever I use induction, I just call it induction no matter how many base cases I use and no matter how many things I use in the inductive step
regular induction:
show that you can climb the first rung, then show you can climb from one rung to the next
strong induction:
show that you can climb the first rung, then show that if you've climbed all the way up to some rung then you can climb the next
strong induction does not per se require the presence of a computer
This course needs more simple analogies
and every inductive proof can also be framed as a strong-inductive proof which just happens not to use any of the hypotheses but one
strong induction is like a shonen anime where the villain of the current week joins the protagonist for every following week



tbh that's not a bad analogy

I see, and with the power of k villians we can beat the k+1th villian
weak induction is like a seinen anime where the villain of the current week is killed
only after helping with the death of the next villain
@stray reef do you have a simple(ish) way of explaining how to write proofs?
It's been tripping me up for months
I feel like they pull out numbers from thin air
what, like proofs in general?
so to overcome the k+1th villian we require the kth villain, but the kth villain dies in the process
๐ฌ
or what
Inductive proof
reading a proof, it can sometimes feel like some numbers are pulled out of thin air
but really it's only because no scratch work is shown
can you show a proof of the kind that's been tripping you up though
bc i feel like there isn't much i can say in the general case
yeah hang on
and i'd rather have an example i could point at
pulled out of thin air
ha nice
uh
These two have just been annoying
well those aren't proofs
ok
it is obvious to see that...
i was expecting you to provide a proof you were having trouble grasping
ah
the proof is trivial and left as an exercise to the reader
:V
I was about to say "use induction" but I realised that probably wouldn't be very helpful 
#12 is basically just messing around algebraically
I'll give it another shot I guess
It's difficult to ask questions to something that I can barely wrap my head around
Because I don't even know where to begin
well
proofs by induction always follow the same pattern
- prove the base case
- write out the inductive hypothesis (i.e. the statement for n=k)
- write out what you need to prove (i.e. the statement for n=k+1)
- prove it
it's 2 indeed
the one element, and the empty set?
yes
ah
frustrating but understandable
I suppose it is 2^n
so if there's one element, the answer should be 2
In general, yes
You're welcome
anyone got any tips for memorizing identities
most of the ones ill use in proofs, like absorption and de morgan's law
My class has been pretty heavy on set theory
@torpid void generally, 1. understand where each identity comes from, and 2. do exercises that make you use 'em, a lot
prove (2k^2)! > k^(2k^2)
hints will do
especially if its actually doable and not an error in the book
i got up to (2(k+1)^2)! = ((k+1) + (2k^2 + 3k + 1))! > (k+1)^(2k^2 + 3k + 1) from the lemma
but that doesnt prove the k+1 case

it follows directly from the lemma where m = n = k^2
@slate marlin
k^(2k^2) = (k^2)^(k^2)
lol

thank you
np ๐ฎ
๐ฎ
Hey a question about binary relations
If I want to refute that relation R is symmetry
I have to find x,y,z that to A which xRy and yRz but then show that x!Rz?
It means (x,z) doesn't belong to R
that would be to refute transitivity
^
yeah sorry I meant transitivity
to refute that R is symmetric, you'd need to find points x, y such that x R y but not y R x
I meant transitivity
and about symmetric-I read there is weak symmetric and strong symmetric. If I want to prove weak symmetric, I have to show for general x,y โA that if x R y and y R x then x=y?
I think that's antisymmetry
I've never heard of weak/strong symmetry
and what about the refunding transitivity
hello guys can u explain how do i turn this result
to this
i = log2n
thanks in advance
I love descreet maths
Wussup guys
So u guys discuss graph theories and stuff
?
Just finished my Discreet Structures exam
Pretty sure I passed
So thanks to you all who helped me out with my relentless, frantic questioning
<3
nice
I do a lot of Proof and Logic in my Discrete Math class, which channel is right for me here?
pick one, ideally the one you think is more applicable
a)The statement P->Q has a truth value Tall possible truth values of P and Q.
b)The statement P->Q has a truth value F when Q has truth value F and P has the truth value F; otherwise it has truth value F.
c)The statement P->Q has a truth value F for all possible truth values of P and Q
d)The statement P->Q has a truth value F when Q has truth value F and P has the truth value T; otherwise it has truth value T.```
answer
d
write down the table of values and it should be obvious
F F T, F T F, T T T, T F T
Ann:
yes
$P \land (\neg Q \lor R) = (P \land \neg Q) \lor (P \land R)$
Ann:
this should be its DNF
thanks
what exactly is the difference between images and co-domains in relational functions
ok got it
ok in this piece of text, there is an explanation for inverse functions there is the statement
the function f is a function there g must be injective
I have no idea what this means.
if f wasnt injective then g wouldnt be a function
since the first number in the ordered pair can only show up once
yup it just popped in my head
how about the third statement
why must the image of g be X?
yeah but it doesn't really help, like it makes sense on a diagram
but these phrases seem useless to me
like I get that it defines a function but what's the point of including that 3rd statement
it's a given
its given in this situation, but you need it in other situations
Quick question about graphs
If a vertex has a loop, is it considered adjacent to itself?
generally, yes
non simple graphs
๐คข
Can someone help me form this into an equation? "n^2-n is even for all integers n >= 1"
the LHS is "n^2-n" which is given
but im not sure how to structure the RHS
Darkrifts:
but I don't think that's the most useful for you
thats what i was thinking, I have to prove it by induction though so I was trying to have it in terms of only n
In fact, you're better off with taking $n$ is even $\iff n \in (2)$ and using fundamental theorem of arithmetic and how $a, b \nin (2), a+b \in (2)$
Darkrifts:
but that's cheating I guess if you want induction
Show it's even for 1, then manipulate $(n+1)^2 - n - 1$ to show that it's still even
Darkrifts:
you don't really need a rhs
gotcha so make it fit the equation for an even number
You could have a rhs of 2k
but since you wholly manipulate the n^2-n expression it's a moot point
btw it's like ultra super trivial, esp with (2)
so that LHS reduces down to k^2+k
it should not reduce down to what it was originally i'm p sure
but uh, with the + probably
which of course you still have to show that that is even
so that can be k(k+1)
and im trying to get that into k^2-k so i can say it =2(any integer)
$n^2 - n = 2k \ (n+1)^2 - (n+1) = 2m$
Darkrifts:
so expanding it out might be a start
so that turns into $n^2+2n+1-n-1$
Garfoofsner:
simplify
which further simplifies to $n^2+n$
Garfoofsner:
which then goes to $n(n+1)$
Garfoofsner:
so, at leas one must be even, no?
Yeah, is it legal to just say that?
Technically that's not a proof by induction if you do that
the proof by induction would be to say that n^2 + n = n^2 - n + 2n, which is a sum of even numbers
the n(n+1) is a proof by some number stuff and how $\forall a, b( a\nin (2) \land b \nin (2) \implies a+b \in (2))$
Darkrifts:
(2 odds make an even)
so you could argue that it's even if n is even, or if n is odd then n+1 is even and you are done
But that's not quite inductive so they probably would squint at it
I understand now, I just didnt even think of changing n^2+n to n^2-n+2n
as then i can substitue my 2m into n^2-n
which gives me 2m +2k which will always be even
or just inductive hypothesis that n^2-n is even
thats forgetting the +2n though?
Alternatively, you can make a trivial non-inductive proof:
$(n \in (2) \iff n^2 \in (2)) \land \forall a,b(a\nin (2) \land b\nin (2) \implies a+b \in (2))$ therefore $n^2 - n \in (2)$
Darkrifts:
formatted horribly but you should probably get it
an element e is said to be a left identity for * if e*x = x for all x
and a right identity if x*e = x for all x
for example, 1 is a right identity for exponentiation
thanks
How would you guys prove an empty set is a subset of every other sets?
@stray reef how do I do this? Can you help out with the solutions please?
i literally just said everything that you need
can you state the definition of $A \subseteq B$, where $A$ and $B$ are sets?
Ann:
if you cannot, then there is nothing else i can do for you besides telling you to go back to your notes
Yes..
What I can think of re the proof is to use the definition of power set.
I don't know how much that would be correct though.
@stray reef my course lecturer is a real pain in the arse. He literally want ua to fail. He wouldn't tell us what exactly he wants.
definition of power set???
Yes
why would you need that
Cause the power set of any set has empty set as a member/subset.
that's equivalent to the thing you were asked to prove.
and that gets you exactly nowhere.
you're massively overthinking this
How do you usually prove {1;2} is a subset of {1;2;3}?
from the definition
hey guys, quick question: we're currently doing graph theory and one of the question was "how many ways are there to make a specific path" (may be incorrect, i'm not a native english speaker but I hope the terms are right). Anyways we have a graph with 4 vertices, which then produces a 4x4 adjacency matrix. The length of one path should be 8 (meaning it goes through 8 vertices). I raised the matrix to the power of 8, but where/how do I get an actual number of possible paths? Do I multiply all of the numbers with each other or what? Thanks for any help
Well what does each number in the matrix represent?
the basic adjecency matrix gives the number of connections between vertex a and b
afaik
...so the matrix A^8 means there are 8 ways between two vertexes?
means I sum up all of the numbers?
Yep
lul, simple enough haha
thank you
by the way, can you use the matrix also to check whether or not the graph is planar and if it has an euler path or circle?
You can't use it to check it it's planar all the time
Look up kuratowskis theorem
You can use it to check if it has an Euler path or cycle though
how to do that?
well you can just sum up all of the edges listed in the matrxi for each vertex and if it's divisable by 2 its an euler graph
i really need to start thinking on my own instead of asking dumb questions.... sorry
dumb questions are good
hey so i am doing a project on interval graphs and i am thinking whether all directed graphs are actually interval digraphs
does anyone have a counter example
Er what are you defining as the source for each directed edge in the interval digraph? Without direction, you can define an undirected edge as sharing, but how does that translate to directed graphs?
you have a source interval and a destination interval for each vertex
say (S,T)
and (u,v) is an edge iff Su n Tv =/= empty
In my case U is the real line
uh, but in the directed case, doesn't that always mean both directions must occur for any two intervals where at least one direction occurs?
no (u,v) is the directed edge u -> v
sorry should have clarified
Sv n Tu can be empty even if Su n Tv is not
for each vertex you have two intervals Sv and Tv
there's an even simpler argument
if it was possible to split the list into two sub-lists of equal sums, then the sum of the whole thing would be twice the sum of one sub-list and hence even
but it's not
sure, it fits here
I have this thing
I know I was supposed to show itโs wrong (always false) but someone how I managed to show itโs always true
How does one begin with proofs on graphs?
For example, I have this problem
Let G be an (n,m)-graph. Show that ฮด(G) <= 2m/n <= ฮ(G)
I know what's it saying but idk how to even begin
show each of the inequalities separately
By induction?
Try it
I'll try and hopefully don't get stuck
Do you understand how to find all subsets of a given set?
you should figure that out first
It's not equivalent
And think about it, this is something you can figure out
A hint is to do it recursively
By choosing one of the sets of your partition, you've now reduced it down to the same problem of finding partitions
But just on a smaller set
I would choose a number, then consider all the subsets that contain that number.
then for each subset, consider the set take away that subset, then find all the partitions of the resulting sets
uh did you choose a number first
then all the subsets that contain 4 are (4),(43),(42),(41),(432),(431),(421),(4321)
because writing commas is hard
I'm only on the 2nd step of my method
then consider each subset separately
for (4)
you need to find all the partitions of (321)
for (43), you need to find all the partitions of (21)
etc
ig we say {{1},{2,3,4}} is a partition of {1,2,3,4}
here's a maybe better method than mine @icy fractal https://stackoverflow.com/questions/19368375/set-partitions-in-python
top answer
you write it with a pencil
๐
i mean, not to be a dick. but that's really it
you just write the things as you see them
there are five lines that are the obvious answer
write all the partitions of a {1,...,n-1}
iirc generating partitions is actually notoriously a pain
then add n systematically to each subset for each partition, or add {n} to each partition
you can draw a tree diagram if you like
say we have the partition {{1},{23}}
you can see by the five lines that there are 3 size 1, then three size 2 and 1, and, then one size three
so it went by size
1+1+1, 2+1, 3
then we can make {{14},{23}},{{1},{234}},{{1},{23},{4}}
the tree diagram would be horrible
you need to know all the partitions of {1,...,n-1}
partitions*
rip the run time, you would need to generate partitions of {1,2}, then use that to generate 3, then 4, etc
wait my other way you need to know the partitions of n-1 as well
for {4} we need to find the partitions of {3,2,1}
I think stackoverflow's (SO) way is better
well using SO's way
partitions of (1,2) are
(1)(2)
(12)
add 3
(13)(2)
(1)(23)
(1)(2)(3)
(123)
(12)(3)
add 4
(134)(2)
(13)(24)
(13)(2)(4)
etc
In this video we're going in some detph on what it means to sign a message cryptographically with a public-key private-key scheme. Here I use an Ethereum blo...
Discussing and using public-key cryptography
any group where discrete log is hard can be used for signing/key exchange just that finding such groups arenโt easy
@gentle nebula how would you go about finding such a group ?
im stupid bad at combinatorics / elementary counting problems how do i git gud
Do problems
ฮธฯฮธ
@south marten well you just wait for people to find such groups, currently its like multiplicative group over integers mod n and elliptic curve group
yami:
find the series expansion via partial fractions
the PF part is easy
but afterwards? 
wot is the pf part?
What is the partial fraction decomposition?
$ F(x) = \frac1{1-x} + \frac4{(1+2x)^2} $
yami:
Well do you know the series expansion of the first fraction?
thats just a bunch of 1s
i dont know how
(1+x)^(-n) = 1 + nx + n(n-1)/2 x^2 + ....
For the second one, can you find the series expansion of 2/(1 + 2x)?
(where n is a non-neg integer)
no @faint narwhal, i dont know how and thats what i was asking about in here
Can you find the series expansion of 1/(1 + 2x)?
uh
You know the series expansion of 1/(1-x)
What if you just substitute -2x for x in that series expansion
literally no idea
well i mean i guess i could do the long division this guy is doing
yami:
i suppose
o yea
wot do u get on differentiating 1/(1+2x)?
$ -\frac2{(2x+1)^2} $
yami:
ya
so now what
$ 0 - 2 - 4x - 6x^2 - 8x^3 - ... $
yami:
like so you mean?
why is it -4x?
the derivative of -2x^2 is -4x 
it is (-2x)^2 tho
yami:
no?
hmmst
but thats not the differentiation
i still dont know how to move on
you asked me to differentiate the series, i thought i did that
wait
xd
i should have just wrote out the terms
$ 0 - 2 + 4x - 6x^2 + 8x^3 - ... $
yami:
this good now?
uh
derivative of 4x^2 wrt x is 8x
uh
scratch all that
u know series expansion of 1/(1-x), right?
now its derivate (wrt x) is 1/(1-x)^2
wots derivative of its expansion?
the expansion is just a bunch of 1s, so the derivative should be all 0s
:o
What he's essentially trying to say is that if you have something like
1/(1-x) = 1 + x + x^2 + ....
It's legal to take the derivative of both sides
sure
To get an equality like 1/(1-x)^2 = 1 + 2x + 3x^2 +...
And this is exactly what you can do to find 1/(1+2x)^2
Because you know the expansion of 1/(1+2x)
in the above eqn u can directly sub
remember the powers of x

did u just make x shoo away?
what's the derivative of xยฒ with respect to x
"1/1-x is 1+2+3+4+... "
?
1+2x+3x^2+4x^3+...*
@weary tiger look up negative binomial series; cud be more 'helpful'
just look it up once
So what does it mean for a tree to be nonisomorphic?
Two trees are isomorphic if there is a way to arrange one's points so the two trees look alike
Without cutting edges ofc
more formally, G=(V,E) and G'=(V',E') are isomorphic iff there is a bijection f: V -> V', such that {a,b} in E <=> {f(a), f(b)} in E'
Perhaps, it'll help by thinking about ways to arrange a tree based on the "maximum number of adjacent nodes" one particular node may take.
On one end, we may have a tree with a vertex degree of 4.
On the other end, we may have a tree with a vertex degree of 2. (Why doesn't vertex degree of 1 make sense?)
Guys, this semester we have discrete mathematics and I am scared.
What is the best way to score a full?
Which textbook to follow?
Iโd say you would want to focus more on graph theory and proofs when it comes to discrete. They tend to be one of the more difficult topics in my opinion.
Thank you!
I will surely focus on that part, I've heard that graph theory and trees are toughest.
Yes, doing computer science.
I am finding a great source to start with, I have 15 days left before the classes start.
Discrete Mathematics - Richard Johnsonbaugh - 8th ed.pdf
@cerulean ore Maybe this will help?
@next valley Thank you man! Let me start with this!
๐
Discrete is really not all that bad, gotta say
Discrete was really interesting when I took it, and although I would like to have done better, it was one of my favourite first year courses I took
I'm trying to do a "n choose k" problem, where each selection of k can not contain any two elements that have been selected together before - and I'm looking for the optimal solution where each element is a member of as many selections as possible (e.g. "Given 30 students, how many groups of 3 can you make such that no person is grouped with a person they have been grouped with before"), I have some code (https://pastebin.com/i1zSyKHU) which is not optimal (e.g. for 9 choose 3, numbers 8 and 9 can only be part of 1 group, but there exists a solution where each number can be a part of 3 groups), where should I look to find out more about this problem?
so, this seems closely related to steiner triples, but I'm having an issue verifying my heuristic - a S(2,3,7) should (if I understand wikipedia correctly) have 7 triples, but I'm having trouble constructing more than 5
According to book's definition "If X is a subset of Y and X does not equal Y, we say that X is a proper subset of Y and write X โ Y."
How {a,b,c} is *a proper subset of A?
We can clearly see that A= {a,b,c} and {a,b,c} = A
Hence, {a,b,c} is a subset of A not a proper subset
it says ALL BUT {a,b,c} are proper subsets of A
every one of those things is a proper subset of A, except {a,b,c}.
Aah, thank you!
I was thinking that but, English being not my native I ignored the intuition.
@haughty garden wouldnt it be the case that if a vertex is only connected to 1 other vertex then its degree is 1? I dont understand
Barry19102004
@sterile bear yes, but we're considering a tree with 5 vertices. A maximum degree of 1 doesn't form a tree of 5 vertices
@next valley Hey! Thank you for the book. Do you also have solutions manual for it?
I am currently solving 1.1 exercise.
yes
yes
isnt they're intersection just ร? @glossy adder
ah so the intersection has to be a set with those elements itself, right ok nvm
trying to study for math gre and getting stuff mixed up in my head
A set containing the null element isnโt the same as a set of a set containing the null element
^^^
I just had a hmmm moment, I don't particularly understand the way my teacher explained something and would like an alternative explanation
for subsets the n choose r is equal to (the n choose r for r-permutations)/(r!)
so basically 10 choose 3 has (10!)/(7!) permutations and (10!)/(7! * 3!) subsets
Im not sure why this math works, I understand that since order doesnt matter with subsets the combinations are less, but I dont understand why the math works
from n distinct objects, there is n ways to select the 1st object, n-1 ways to select the 2nd, .... n-r+1 ways to select the rth object. So nPr=n!/(n-r)!.
For nCr, notice in nPr we counted all permutations of a set of r objects as different, to count them the as same we divide nPr by the number of these permutations, so nCr=nPr/r!
@torpid void
oh so like for a set of 3 theres 3 permutations of 3, 2 of 2, and 1 of 1, so you divide by 3! in the case of C(10, 3)
3P3=3!
I wouldn't say 3 permutations of 3 etc...
the number of permutations of a set r is rPr=r!
how to draw graphs fast?
im going to assume its an undirected graph? because i have no clue which is going to which
starting with highest-degree vertices first is generally a good idea
weighted?
shud be
shut up
at drawing
lets continue
u look at my graph
so (A,A)
implies it goes to itself
yes make 4 points first
then go through table one by one
label them A B C D
yea
and one thing to note
this graph should DEFINITELY be undirected, because this table possesses transitive property? i thinkit was called transitivity
notice how A,B has 2, and B,A has 2
that means two goes from A to B, and two goes from B to A
yea its undirected
its a mirror image across the diagonal
yea
it's called symmetric
if the adjacency matrix is symmetric, the graph is undirected
(usually)
ah symmetric
thafaq??
it has nothing to do with transitivity
symetric along diagnol i assume
symmetric of a matrix A just means A^t = A
yea
but yeah, you can interpret it as mirror symmetry along the main diagonal
No
thafaq? why
ahhh
i figureed it out
ok
ok so i think im figuring it out
basically u look at all the numbers after the diagnol and ignore the rest in a undirected graph
so if it just says to draw graphs using adjavent tables, i dont have to care about hamilton n shit right?
Yeah
fuck, one of the graphs was directed on one segment
its like they make these problems to make u feel stupid
so two get degrees from table i guess i just go along the row and add everything?
ohhh nonono, wut if it connects to itself
why does c have a degree of 2?
it doesn't?

c looks like it has a degree of 3
not 2
where did you get it from that it has degree 2
also if a vertex connects to itself
you usually count it twice towards the degree
yea so now im making sure at first that none of the diagnols have 1, if they do then i make mental not of it
note*
yea but c has degree of two according to textbook answers
then the textbook answers are wrong
hmmmm
they r never wrong, uptill now
and i have done 1000s of sums
but if u say so, they probably are
so i got 23322
? is that correct?
yea
so maybe just the C was wrong lol
yes
people who write textbooks get it wrong, wut hope do i have..
just that
so if its a digraph
and u going from c to d
do both c and d have degree 1?
or just c?
depends how you define degree
lol
usually its not defined for digraphs
how its usually defined
there is an indegree and an outdegree
usually degree is not defined at all for digraphs
if you defined it that way, then yes
unless they specificly ask for out and indegrees
lol they got tierd
and didnt even include answers for 3
just tell me for fitst one
is it 35454?
The deg of E is not 4
the degree of C is also not 4
The degree of B is not 5
B is correct though
again with the convention that loops are counted twice
e isnt 4?
which i dont know if your textbook is doing
C has a loop
so 1+1+2
E does not
C is adjacent to A, D, E and C
it is?
i just noticed
it is yea
so disregard wtv i said
and the fuckin textbook doesnt even hve a answer lol
not if you counted loops twice
loops contribute 1 to outdegree and 1 to indegree
why 5
C has outdegree 3 and indegree 4
fuck imma ask my teachers once
fuckin hell....
so id have to do that for all?
indegrees + outdegrees? @pale epoch
The number of edges coming out of a vertexis calledthe degree
of that vertex. For example, in Graph 2:
deg(A)
5, deg(B) = 2, deg(C) = 1.
Notethat when calculating the degree, we count the edge
joiningA to A twice, as each edge has to have two ends.
However, in the adjacency table thenumberin the (A, A) cell
is 1,becausethereis only one edge joining A to itself. The list
of degreesofalltheverticesofthe graph is called its degree
sequence. It is usuallygivenin descendingorder;for example,
Graph 2 has degree sequence 5,2, 1.
from our textboox^^
idk how accurate this is though tbh
what do you mean 'how accurate'?
i'm not sure what "edge coming out of a vertex" is supposed to mean
especially in regard to digraphs
i mean idk if thats how the actual exam goes
the info may be wrong
imma ask my teacher later i guess
connectd graph means all vertices are connected or wut? @pale epoch
it means that there is a path between any two vertices
(at least for undirected graphs)
yea ok
@pale epoch so smallest simple connected graph has 1 vertice? how so
?
i just conncected abc and looped b into itself once and c twice
is it wrong?
it depends how exactly you define connected
fuckin definitions lol
according to this definition i guess si
hmmm
i think its not defined like that in book
cuz it states minimum degree in simple graph connectedis 1
then they are not using the definition given here
but then the graph with 1 vertex isn't connected either, so ๐คท
1 vertex with no edge should definitely be connected though
otherwise you lose important theorems
?? thafaqqq
yea i gotta call up my teacher later for these two things
degree of assymetric graphs
and degree of conected/simple graphs
what is unclear to you in the picture you posted?
it was that min degree of connected graph is 1
and of simple graph is 0
which i found odd, and @pale epoch pointed out that even an empty graph would be connected
especially according to the books rules
well, for the empty graph it doesnt really matter i think
but the picture does not even once mention connectedness
you can exclude it in your definition
what are you talking about
the graph with 1 vertex should 100% be connected
degree
otherwise you are doing something wrong
yea the picture before
i understand the simple graph, having 0 degree as minimum
dont get why connected is 1 if simple is 0 though
either they think empty graph != graph
in which case both should be 1
or they think empty graph = graph
in which case both shud be 0
the min degree in a connected graph is at least 1, unless there is 0 or 1 vertex total
if there is no vertex there is no minimum degree
k well imma ask maam later i guess
if there is just 1 vertex it's connected no matter the degree
so wuts the technically minimum degree of connected graph?
0
textbook says 1
because the graph with 1 vertex and no edges is connected
now textbook may be wrong
and yeah, it might be that your book wont call the "graph" with 0 verteces a graph
but since its used in alotta proofs, i might as well ask maam once
just to formulate a few theorems easier
i.e. not having to state "Let G be a non-empty graph ..."
it could also be that it defines the empty graph as the graph having no edges
there aren't really that many universal definitions in graph theory
using your textbook definitions is a good idea
although that definition of connected you posted is not very rigorous, so ๐คท
that is a good idea
lol wtf?
What proof is this for?
i assume that the number of verteces with odd degree is even
if you have a more descriptive question than "wtf?", maybe someone can help
does e> or = 3/2v -3 hold for any graph with hexagon or higher polyygon?
and it is impossible to make triangles in bipartile graphs?
prove it
yea i did
just wanna know if my proofs true
so for bipartile u cant make a triangle cuz u need two edge between vertices of same group
and for the hexagon one
(wherever its > it means > or =
e>6f/2 (as each cycle has 6 edges but each edge will cut graph into two regions)
replacing into euler forumla
e<v+2e/6-2
2e/3<v-2
>=
the latex code is \geq. >= is an acceptable substitute in plaintext. > or = looks weird in an equation.
$ e \geq \frac{3}{2}v - 3$
Ann:
wut am i doing wrong? i got degrees as 22233
can you show the problem exactly as stated
ik this is dumb but..
idk im getting this wrong.. so somethin wrong in my fundamentals somewhere
i thought it has 6 edges and degrees of 22233
so the total degree is 15, and edges are 6
but 6*2 = 12
12 =/= 15
where did you get it from that the total degree is 15
2 + 2 + 2 + 3 + 3 = ?
it makes no sense to speak of the edges of a graph "intersecting" or not. nodes and edges are abstract objects.
a planar graph is a graph that CAN BE DRAWN in a way that makes none of its edges intersect.
so any tips on redrawing a graph as planar? im finding it slightly hard and time consuming
also mistakes..
ofc practise is one, but i bet theres a trick
hmm the textbook says somethin but i dont get it
...ok, post it then
a path that starts at the same point where it ends
hmm ok
fuck this is wierd shit
but i guess ill do a few and it ll start making sense
idk tbh, to me it seems easier to just visualize an unwrapping of sorts
may be harder in more complex graphs though
does this work as plannar of:
this?
yes
cool thnx
would a triangle and a line be accurate graph for this degree sequence?
also any tips on how to draw degree sequence graphs
proof by contradiction? 25 <= 3(10)-6
how do u find complement of adjacency matrix? do u have to first draw it?
isnt ABAD a solution to first one? textbook says no



