Simplifying Combinatorics: Proving nC(k-1) + nCk = (n+1)Ck for k>0

In summary, the conversation is about proving the equation nC(k-1) + nCk = (n+1)Ck, where k > 0. The speaker is struggling with using the binomial coefficient formula and is unsure if they need to use proof by induction. They are looking for help and suggestions on how to prove the equation.
  • #1
courtrigrad
1,236
2
Hello all

In my calculus book, this problem has been pestering me"

Prove nC(k-1) + nCk = (n+1)Ck, where k > 0 which is read " n choose k-1" + "n choose k"

= n+1C k.

I tried using the formula for the binomial coefficient, but it becomes very messy. I also tried setting k = 1, but then it did not seem like I was actually proving it. Rather I was showing that the statement holds for k > 0. Would I have to use proof my induction? Any replies would be greatly appreciated.

Thanks a lot
 
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  • #2
Use the definition of nCk in terms of factorials. Use the fact that n! = n(n-1)! OR alternatively, (n+1)! = (n+1)n!. Start from the LHS and don't stop till you get the RHS :biggrin:
 
  • #3
for bringing up this topic!

Hello,

This is a great question and one that many students struggle with when first learning about combinatorics. You are on the right track with using the binomial coefficient formula, but as you mentioned, it can get quite messy.

One approach to proving this statement is by using a combinatorial argument. This means that we will use the concept of combinations to show that both sides of the equation represent the same thing.

Let's start by breaking down the left side of the equation, nC(k-1) + nCk. This can be read as "n choose k-1" + "n choose k".

For the first term, "n choose k-1", we can think of this as the number of ways to choose a group of k-1 objects from a set of n objects.

For the second term, "n choose k", we can think of this as the number of ways to choose a group of k objects from the same set of n objects.

Now, let's look at the right side of the equation, (n+1)Ck. This can be read as "(n+1) choose k". This represents the number of ways to choose a group of k objects from a set of n+1 objects.

So, we can see that both sides of the equation represent the same thing - the number of ways to choose a group of k objects from a set of n+1 objects. Therefore, we can conclude that nC(k-1) + nCk = (n+1)Ck.

To answer your question about using proof by induction, yes, that is another approach that can be used to prove this statement. However, using a combinatorial argument is often simpler and more intuitive for problems involving combinations.

I hope this helps and good luck with your studies!
 

Related to Simplifying Combinatorics: Proving nC(k-1) + nCk = (n+1)Ck for k>0

1. What is combinatorics and why is it important?

Combinatorics is a branch of mathematics that deals with counting and organizing objects. It is important because it helps us solve problems related to probability, optimization, and decision-making in various fields such as computer science, economics, and engineering.

2. What is the formula for nCk in combinatorics?

The formula for nCk, also known as "n choose k", is n!/(k!(n-k)!). It represents the number of ways to choose k objects from a set of n objects, without considering the order in which they are chosen.

3. How is the identity nC(k-1) + nCk = (n+1)Ck proven?

The identity can be proven using the concept of Pascal's Triangle and the binomial coefficient. By expanding the expressions and rearranging the terms, we can see that both sides are equal to (n+1)!/(k!(n+1-k)!), which is the formula for (n+1)Ck.

4. Can this identity be generalized for any value of k?

Yes, this identity holds true for all values of k greater than 0. It can also be extended to include negative values of k using the formula nC(-k) = nCk.

5. How is this identity useful in solving combinatorics problems?

This identity can be used to simplify expressions involving binomial coefficients, making it easier to calculate the number of combinations in various scenarios. It also helps in proving other combinatorial identities and solving problems related to probability and counting problems.

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