Combinatorial Proofs of a binomial identity

In summary, the sum from k=m to n of {(nCk)*(kCm)} is equal to (nCm)*2^(n-m). This can be seen by counting the number of ways to choose two subsets A and B from a set S with n elements, where A has size m and A is a subset of B, in two different ways.
  • #1
silvermane
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Homework Statement


Show that for all integers n,m where 0 ≤ m ≤ n
The sum from k=m to n of {(nCk)*(kCm)} = (nCm)*2^(n-m)


The Attempt at a Solution


So for the proof, I have to use a real example, such as choosing committees, binary sequences, giving fruit to kids, etc. I have been thinking hard on it, but I don't fully understand it to do so. Any hints would be wonderful. I don't exactly want the answer, just an understanding! Thank you for your time :)
 
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  • #2
Think about it like this: Imagine you have a big set [tex] S [/tex], with [tex] n [/tex] elements. You want to find the number of ordered pairs [tex] (A, B) [/tex], where [tex] A [/tex] and [tex] B [/tex] are subsets of [tex] S [/tex], [tex] A [/tex] has size [tex] m [/tex], and [tex] A \subseteq B [/tex]. There are two ways to count the number of such ordered pairs. You could choose the elements of [tex] B [/tex] first, by letting [tex] |B| = k [/tex] (where [tex] m \leq k \leq n [/tex]); there are then [tex] \binom{n}{k} [/tex] ways to choose [tex] B [/tex], and [tex] \binom{k}{m} [/tex] ways to pick the set [tex] A [/tex] from the elements of [tex] B [/tex]. Thus, for a given [tex] k [/tex], there are [tex] \binom{n}{k} \binom{k}{m} [/tex] ways to choose the pair [tex] (A, B) [/tex], so there are
[tex]
\sum_{k = m}^n \binom{n}{k} \binom{k}{m}
[/tex]
such pairs in total.

Alternatively, you could choose the elements of [tex] A [/tex] first. This time, there are [tex] \binom{n}{m} [/tex] ways to pick [tex] A [/tex]. Choosing [tex] B [/tex] then amounts to picking any subset [tex] C [/tex] of [tex] S \setminus A [/tex] which you then "add on" to [tex] A [/tex]: [tex] B = A \cup C [/tex]. There are [tex] 2^{|S \setminus A|} = 2^{n - m} [/tex] subsets of [tex] S \setminus A [/tex]. Thus, there are
[tex]
2^{n - m} \binom{n}{m}
[/tex]
such ordered pairs. Thus, since both methods count the same thing, you have
[tex]
\sum_{k = m}^n \binom{n}{k} \binom{k}{m} = 2^{n - m} \binom{n}{m} \textrm{.}
[/tex]
 

FAQ: Combinatorial Proofs of a binomial identity

What is a combinatorial proof of a binomial identity?

A combinatorial proof of a binomial identity is a mathematical proof that uses combinatorial principles to demonstrate that two expressions are equal. It involves counting the same set of objects in two different ways and showing that the results are equal, thereby proving the identity.

Why are combinatorial proofs important?

Combinatorial proofs provide a visual and intuitive understanding of binomial identities, making them easier to remember and apply. They also help establish connections between seemingly different mathematical concepts and deepen our understanding of mathematical relationships.

How do you construct a combinatorial proof?

To construct a combinatorial proof, you first need to identify the binomial identity you want to prove. Then, you need to find two different ways of counting the same set of objects, using combinatorial principles such as combinations, permutations, or partitions. Finally, you need to show that both ways of counting yield the same result, proving the identity.

Can combinatorial proofs be used to prove any binomial identity?

Yes, combinatorial proofs can be used to prove any binomial identity. However, some identities may be easier to prove using other methods, such as algebraic manipulation or mathematical induction.

How do combinatorial proofs relate to other areas of mathematics?

Combinatorial proofs have connections to many other areas of mathematics, such as number theory, graph theory, and probability. They also play a crucial role in solving problems in fields such as computer science, physics, and economics, where counting and combinatorial principles are essential.

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