How Can the Binomial Theorem Be Derived from Discrete Math Concepts?

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The discussion explores the derivation of the binomial theorem from discrete math concepts, particularly through combinatorial identities related to powersets. It highlights that the size of the powerset of a set S with n elements can be expressed as both 2^n and the sum of binomial coefficients, leading to the identity ∑(n choose i) = 2^n. The inquiry focuses on how to transition from this identity to the generalized form of the binomial theorem, ∑(n choose i)x^(n-i)y^i = (x+y)^n. While induction is suggested as a method to prove the identity, the main question remains how to derive the second expression from the first. The discussion emphasizes the need for clarity on the steps involved in this derivation.
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Ok, so after a little discussion with my discrete math teacher today, he sent me on a little "quest". Here is how it happened:

The topic we were covering was set theory, and as I had been studying very basic combinatorics the night before, I noticed something about the powerset, namely:

Assuming a set S with n elements:

|P(S)|=2^n

however, if S has n elements, and the powerset is compose of S's subsets, then:

|P(S)|= C(n,0)+C(n,1)...+C(n,n)

so

C(n,0)+C(n,1)...+C(n,n)=2^n

so

\sum^{n}_{i=0}(\stackrel{n}{i})=2^n

I asked about this after class, and he said the binomial theorem could be derived through this identity, I sort of see how, but I doubt the corectness of these ways. Does anybody know about a way to go about this?
 
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If you mean how to prove this identity, induction would do a fine job.
 
I guess what I really meant was, is there any step you can see that can be taken to get from:

\sum^{n}_{i=0}\left(\stackrel{n}{i}\right)=2^n

to

\sum^{n}_{i=0}\left(\stackrel{n}{i}\right)x^{n-i}*y^{i}=(x+y)^{n}
 
The other way is easy: let x= y= 1. I don't see how, just from the first, you can get to the second: the second contains "more information" than the first.
 
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