reenmachine
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woops , blunder
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1MileCrash said:n is assumed to be a nonnegative integer right off the bat because n! is only defined for those numbers.
Also, this proof comes into play with what we discussed earlier.
We already discussed why (n choose n) is 1.
And, you've shown already that (n choose k) = (n choose (n-k)) right? So what happens if k=0?
reenmachine said:I don't understand what you mean with your last sentence , I thought I already proved that if k=0 , then ##\binom{n}{k}## is an integer (1) in my post above.
I'm still trying to figure it all out , even if I fail in the end "playing" with all of this is making me understanding factorials more in depth so it can't be bad.
I'm trying to prove that ##\binom{n+1}{k}## always results in an integer from the assumption that ##\binom{n}{k}## always results as an integer.
Just trying to wrap my head around all of this and digest it to come up with a proof.
micromass said:The crucial part is that we assume that ##\binom{n}{k}## is an integer for all ##k##. This is what we take as induction hypothesis. In particular, we see that ##\binom{n}{k-1}## is an integer for ##k>0##.
reenmachine said:Hmmm , so if ##\binom{n}{k}## is an integer for all ##k## , then ##\binom{n}{k-1}## is an integer for ##k>0## (even if K=0 , the final answer is 0 no? so that's still an integer (correct me if I'm wrong here)) , so basically the addition of two integers will always result in an integer , so since ##\binom{n}{k} + \binom{n}{k-1} = \binom{n+1}{k}## , then ##\binom{n+1}{k}## is an integer...
micromass said:Right, but you need a separate argument for ##\binom{n+1}{0}##.
reenmachine said:Isn't it assumed from the proof of P(0)? Since ##n## is a dummy variable , what's the difference with n+1?
reenmachine said:I don't understand what you mean with your last sentence , I thought I already proved that if k=0 , then ##\binom{n}{k}## is an integer (1) in my post above.
reenmachine said:Another question , when you're facing a situation where you need to assume an argument such as Integer + Integer = Integer , do you have to prove it? This is what happened in the second part of the proof.
micromass said:Technically, P(0) only says that ##\binom{0}{0}## is an integer. It doesn't say anything about ##\binom{n}{0}##. But you proved it anyway, so that's fine then.
reenmachine said:Hmm , but I thought that the first part of the proof was that ##\binom{n}{k}## results in an integer if k=0.I thought the notation ##n## was any ##x \in \mathbb{N}##?
thank you micromass!
micromass said:The induction is on ##n##, not on ##k##. So ##P(0)## says that ##\binom{0}{k}## is an integer for all ##k##.
Fredrik said:What you want to prove is this, right?For all ##n,k\in\mathbb N## such that ##k\leq n##, we have ##\binom n k\in\mathbb N##.(I'm including 0 in ##\mathbb N##). For each ##n\in\mathbb N##, let ##P(n)## be the following statement:For all ##k\in\mathbb N## such that ##k\leq n##, we have ##\binom n k\in\mathbb N##.You want to prove all of the infinitely many statements P(0),P(1),P(2),... The way to to do that is to prove the following two statements.
\begin{align}&P(0)\\ &\forall n\in\mathbb N~~ P(n)\Rightarrow P(n+1).\end{align} P(0) is the statementFor all ##k\in\mathbb N## such that ##k\leq 0##, we have ##\binom 0 k\in\mathbb N##.So to prove it, the natural way to start is "Let k be an arbitrary element of ##\mathbb N## such that k≤0". This statement assigns the value 0 to k. So you can continue like this
$$\binom 0 k =\binom 0 0 =\cdots$$
(This is not the easiest example of a proof by induction, since there's a second integer variable k that makes it harder to see how to define P(n)).
Seydlitz said:I realize you're asking for the same problem as I do. It's already resolved. See this thread if you're interested. https://www.physicsforums.com/showthread.php?p=4451388&posted=1#post4451388
Maybe you did. I didn't look closely at those posts. I just saw the "over my head" comment and assumed that the problem wasn't solved.reenmachine said:Hmm I thought I already proved it (more or less) in post 724 , 730 and 732.
Looks good. Here's how I would do the ##P(n)\Rightarrow P(n+1)## step:reenmachine said:We will attempt to prove that:##\forall n,k\in\mathbb N## such that ##k\leq n##, we have ##\binom n k\in\mathbb N##.
## \forall n\in\mathbb N##, let ##P(n)## be the following statement:For all ##k\in\mathbb N## such that ##k\leq n##, we have ##\binom n k\in\mathbb N##.
We will first attempt to prove ##P(0)##.Let ##k## be an arbitrary element of ##\mathbb N## such that ##k≤0##.This gives us ##\binom{0}{0} = \frac{0!}{0!(0-0)!} = \frac{1}{1 \cdot 1} = \frac{1}{1} = 1##.Since ##1\in\mathbb N## ,this proves ##P(0)##.
Now assume ##\binom{n}{k} \in\mathbb N## for all ##k##.This implies that ##\binom{n}{k-1} \in\mathbb N## for all ##k>0##.Since ##\binom{n}{k} + \binom{n}{k-1} = \binom{n+1}{k}## , we know that ##\binom{n+1}{k} \in\mathbb N## for all ##k>0## because it's the sum of two elements of ##\mathbb N## (which we choose to assume as true).We're now left with ##\binom{n+1}{0}##.This equals to ##\frac{(n+1)!}{0!((n+1-0)!} = \frac{(n+1)!}{1 \cdot (n+1)!} = \frac{(n+1)!}{(n+1)!} = 1##.Since ##1 \in\mathbb N## , this proves that ##P(n) \rightarrow P(n+1)##.
These previous proofs prove that ##\forall n,k\in\mathbb N## such that ##k\leq n##, we have ##\binom n k\in\mathbb N##.
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thoughts about this more official version of my proof attempt?
Fredrik said:Maybe you did. I didn't look closely at those posts. I just saw the "over my head" comment and assumed that the problem wasn't solved.
Looks good. Here's how I would do the ##P(n)\Rightarrow P(n+1)## step:
Let ##n\in\mathbb N## be arbitrary. Suppose that ##P(n)## holds. Let ##k## be an arbitrary element of ##\mathbb N## such that ##k\leq n##. If ##k=0##, we have
$$\binom{n+1}{k} =\frac{(n+1)!}{0!(n+1-0)!} =1\in\mathbb N.$$ If ##k>0##, we have
$$\binom{n+1}{k} =\binom n k + \binom{n}{k-1}\in\mathbb N.$$ (It follows immediately from ##P(n)## that both terms on the right are in ##\mathbb N##). So for all ##k\in\mathbb N## such that ##k\leq n##, we have ##\binom{n+1}{k}\in\mathbb N##. This means that ##P(n+1)## holds.
The only part of this that's a significant improvement over your version is the first line, which make it clear what the variables represent. I don't think that's perfectly clear in your version. For example, you say that ##\binom{n}{k} + \binom{n}{k-1} = \binom{n+1}{k}##, without making it a "for all" statement.
Note by the way that if we use my definition of n!, we have to use it to prove the identity ##\binom{n}{k} + \binom{n}{k-1} = \binom{n+1}{k}##.
Yes.reenmachine said:When you say that you make it clearer what the variables represent , do you mean both ##n## and ##k## being arbitrary elements of N with ##k## being equal or smaller than ##n##?
If your readers understand binomial coefficients and trust that you do too, then they will assume that n and k are natural numbers such that k≤n. But you should still say that explicitly. You also need to make it clear if n and k are arbitrary or if they have been assigned some specific values, like n=7, k=2. I suppose that we could use the convention that every time we don't assign values like this, and don't use the words "there exists", our statements should be interpreted as "for all" statements. But you would have to say that somewhere. I don't recommend this approach, since it doesn't save a lot of time or space, and makes the proofs a bit harder to follow.reenmachine said:Do you mean that by only using the binomial coefficients in the beginning of the second part of my proof , it remained unclear what ##k## and ##n## really are?
Yes, you didn't eliminate that possibility.reenmachine said:About not stating ##\binom{n}{k} + \binom{n}{k-1} = \binom{n+1}{k}## as a "for all" statement , do you mean that it doesn't rigorously implied that this is true for all ##n,k \in N## , so basically it looks like I was using the formula with none-arbitrary variables (or at least that I didn't eliminate the possibility that this was the case)?
Here you left n undeclared. A simple "let ##n\in\mathbb N## be arbitrary" would have taken care of that. "For all k" is also a bit careless, since you don't mean that k can be equal to ##\pi-i##. We don't have to worry about ##\pi## and ##i## if we say that everywhere in this proof, the scope of our "for all" and "there exists" is ##\mathbb N##. But then we still have a problem with ##k## such that ##k>n##.reenmachine said:Now assume ##\binom{n}{k} \in\mathbb N## for all ##k##.
Same problems here.reenmachine said:This implies that ##\binom{n}{k-1} \in\mathbb N## for all ##k>0##.
Here you say nothing about n or k.reenmachine said:Since ##\binom{n}{k} + \binom{n}{k-1} = \binom{n+1}{k}##
A statement that involves an undeclared k implies a statement "for all k>0"?reenmachine said:, we know that ##\binom{n+1}{k} \in\mathbb N## for all ##k>0##
The book defined n! as the number of non-repeating lists with n entries, and ##\binom n k## as the number of subsets that can be made by choosing k elements from any set with n elements. I don't like these definitions. How are we supposed to use them in proofs? Consider e.g. the proof thatreenmachine said:Sorry but I'm not sure in which context you're saying we should prove this identity so I'm not sure if I'm following you...
Fredrik said:If your readers understand binomial coefficients and trust that you do too, then they will assume that n and k are natural numbers such that k≤n. But you should still say that explicitly. You also need to make it clear if n and k are arbitrary or if they have been assigned some specific values, like n=7, k=2. I suppose that we could use the convention that every time we don't assign values like this, and don't use the words "there exists", our statements should be interpreted as "for all" statements. But you would have to say that somewhere. I don't recommend this approach, since it doesn't save a lot of time or space, and makes the proofs a bit harder to follow.
Here you left n undeclared. A simple "let ##n\in\mathbb N## be arbitrary" would have taken care of that. "For all k" is also a bit careless, since you don't mean that k can be equal to ##\pi-i##. We don't have to worry about ##\pi## and ##i## if we say that everywhere in this proof, the scope of our "for all" and "there exists" is ##\mathbb N##. But then we still have a problem with ##k## such that ##k>n##.
A statement that involves an undeclared k implies a statement "for all k>0"?
The book defined n! as the number of non-repeating lists with n entries, and ##\binom n k## as the number of subsets that can be made by choosing k elements from any set with n elements. I don't like these definitions. How are we supposed to use them in proofs? Consider e.g. the proof that
$$\binom{n+1}{k}=\binom n k+\binom{n}{k-1}$$ for all natural numbers n and k such that k≤n. When I read the proof discussed earlier, I pictured two boxes, the first one containing n+1 balls numbered from 0 to n, and the second one empty. Then I thought about how many ways there are to move k balls from the first box to the second. The total number must be equal to the number of ways to move k balls, none of which is numbered 0, plus the number of ways to move the one numbered 0 and k-1 more balls. Presumably, you had a similar image in your head. So are we really using the definition, or just a visual representation of our understanding of it?
I would say that it's the latter. The book's definition of ##\binom n k## means that ##\binom n k## is the cardinality of the set of all subsets of ##n=\{0,\dots,n-1\}## with cardinality ##k##. To prove that some set X has cardinality 3 for example, we would have to prove that there's a bijection from X into {0,1,2}. But we're not doing this sort of thing at all. We're just imagining some numbered balls being moved around.
So is the proof rigorous? Is it acceptable at all? These aren't easy questions. I think the answer is that proofs like this one are significantly less rigorous than the other proofs we've been doing, but are still (just barely) OK. The reason why they're OK is that the only proofs that are 100% rigorous are the ones where all the statements are written in the formal language of set theory, and it's perfectly clear in every step which axioms of our proof theory that we're using. (A proof theory is a definition of what we mean by a "proof"). The proofs we've been doing are at the level of rigor where the goal is to come up with an argument that would convince an experienced mathematician that a formal proof exists.
A mathematician with experience working with these "visual representations" of the underlying concepts will probably find the argument convincing. That's why I can't dismiss it outright. But I'm still more comfortable with definitions and proofs where we work directly with the mathematical concepts instead of some visual representations of them.
The simplest interpretation of the book's definition of n! is that n! is the cardinality of the set of injective functions from n to n, where n is defined by n={0,...,n-1}. But the book doesn't talk about cardinalities of sets of injective functions. Instead it conjures up images of things in the real world, such as numbered balls in a box, or lists written on paper. So the book's definition of n! has the same problems as its definition of ##\binom n k##.
Define ##0!## by ##0!=1##. For all ##n\in\mathbb Z^+##, define ##n!## by ##n!=n(n-1)!##. For all ##n,k\in\mathbb N## such that ##k\leq n##, define
$$\binom n k =\frac{n!}{k!(n-k)!}.$$ These are simple definitions that are easy enough to use in proofs.
If we take these definitions as our starting point, a proof of ##\binom{n+1}{k}=\binom n k+\binom{n}{k-1}## that actually uses them will be much more convincing than an argument that relies on visual representations of the binomial coefficients.
CompuChip said:This is actually quite typical in mathematics, where you take an intuitive concept such as "the number of ways to order n objects", "the surface area of a square", "a straight line" or "parallel" and make a definition which at first sight is quite unrelated. Usually, it is shown at the point where the definition is made, that it corresponds to our intuition (for example in the case of n! you could show inductively that ordering n elements means putting the first one on one of n available spots and re-ordering the rest in one of the possible (n - 1)! ways) and then always proceed to work with the (often algebraic) definition (simply because, as you have seen, a definition like 0! = 1 and n! = n(n - 1)! is more convenient in calculations).
reenmachine said:They introduce this notation in the book of proof (page 78 section 3.4) :
Use the binomial theorem to show:
##\sum \binom{n}{k=0} 3^k \binom{n}{k}=4^n##
except that the first binomial coefficient isn't between parenthesis.
I'm not sure what they mean , beside the sum symbol there's the n , k=0 on top of each other without parenthesis.
I'm in need of some help on that one.
thank you!
I'm sure that's not the theorem, because this is a statement about the empty set. At least I don't think you can find me any real number such that 0 > x > 4. I'll assume you meant 0 < x < 4 ;-)reenmachine said:If ##x \in \mathbb{R}## and ##0>x>4## , then ##\frac{4}{x(4-x)}≥1##.
In clearer term , if you take any two elements of R that result(sum) in 4 and multiply them , you won't find a bigger one than 2 × 2= 4.Same if you take 6 as an exemple , the largest will be 3 × 3 = 9.If I proved that , it would prove the theorem since ##\frac{4}{4} = 1## and all others denominator would be smaller , resulting in a larger number than 1.
CompuChip said:I'm sure that's not the theorem, because this is a statement about the empty set. At least I don't think you can find me any real number such that 0 > x > 4. I'll assume you meant 0 < x < 4 ;-)
That's a good approach. I don't know if you have done anything with quadratics yet, but note that y = x(4 - x) is a parabolic graph with zeroes at x = 0 and x = 4 which means that it has an extreme value right in the center at x = 2. (Try plotting it, you can use WolframAlpha if you don't know how to do this by hand yet).
How to prove that ##x(4 - x) \le 4## for all ##0 < x < 4## is a bit trickier if you have not taken analysis yet, in that case the "handwaiving" argument that x = 2 is a top of the graph is probably acceptable.