I think the way to go is to draw each vertex with its edges corresponding to its degree and look for any contradictions if you can draw it then no probs, if you can't then it doesn't exist ez.Given the vertex degrees, is there a rule of thumb that we can use to determine if there exists a simple graph with those degrees?
Yeah but like, I don't wanna run into experimental error lelI think the way to go is to draw each vertex with its edges corresponding to its degree and look for any contradictions if you can draw it then no probs, if you can't then it doesn't exist ez.
Not sure if this is what you mean, but say you know the vertex degrees are 2, 2, 2, 2, 3, 4, 4, then to test if such a graph exists then do this:Given the vertex degrees, is there a rule of thumb that we can use to determine if there exists a simple graph with those degrees?
Yeah, self-inverse functions are called involutions. You can read up about them and find examples of them here: https://en.wikipedia.org/wiki/Involution_(mathematics).
Questions like these are what make me confused as to how to find the pigeons...
One thousand people have a pack of cards each. Every person chooses two cards from their pack. Prove that there must be at least 11 people who have chosen cards with exactly the same values (card rank)
Didn't expect that the holes required that way of thought... I always seem to forget how to see things when it comes to PHP
The 'holes' would be the parity (odd or even) and the 'pigeons' the four numbers. There are two holes (odd or even). Since ceil(4/2) = 2, there are at least two numbers of the same parity.Consider a set of 4 natural numbers
Can you use the pigeonhole principle to show that at least 2 are even or (inclusive or) at least 2 are odd?
(Or if not how would you do it without listing the cases)
I just thought of this question on the spot and I don't imagine it to be too hard, but I want to see how someone would approach it.
(Sincerely hope I didn't write something wrong here)
n!/n^n ?New question
You have in front of you, a barrel of N ping pong balls, each labeled with a unique number. You pull a ball from the barrel, make a note of the label, and then put the ball back. After pulling K balls from the barrel, what is the probability that you've seen all of the balls? What happens when K=N and K>N. Consider these 2 cases separately.
What is this 'heuristic' called? A reduction? An abstraction?The question can be rephrased as asking: "What is the probability of a randomly chosen f:X->Y being surjective if |X|=k and |Y|=n?"
I guess it's basically looking into the heart of the question. (It's phrased in terms of balls and boxes, but it's essentially a question about how many surjections we can make on given-sized (finite) domains and codomains.)What is this 'heuristic' called? A reduction? An abstraction?