How Can We Prove This Combinatorial Identity?

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The discussion focuses on proving the combinatorial identity {{n+k-1}\choose{n-1}} = \sum_{i=1}^k {k-1\choose i-1}{n\choose i}. The left-hand side represents the number of k-repeating combinations, while the right-hand side can be interpreted through partitioning a set of n+k-1 objects. By selecting r objects from one partition and n-1-r from another, the equivalence of both sides is established. An alternative method involves considering two piles of objects, where the selection of items from each pile also leads to the same identity. The thread emphasizes the importance of combinatorial interpretations in proving such identities.
Pietjuh
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Hello everyone!

I'm trying to prove the following identity, but I'm not very lucky in finding the proof: :eek:

<br /> {{n+k-1}\choose{n-1}} = \sum_{i=1}^k {k-1\choose i-1}{n\choose i}\,\, 1\leq k \leq n<br />

I've tried to interpret this as a combinatorial problem, and I know the left hand side is the number of k-repeatingcombinations (don't really know the english word for it. The dutch word is k-herhalingscombinaties). But how i can transfer this to the sum on the right hand side... :confused:

Can someone help me a bit with this? :smile:
 
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Do it by inductiom, although there is an obvious combinatorial interpretation:

consider a set of n+k-1 objects partitioned as

1,2,..,n | n+1,...,n+k-1

how many ways are there of picking n-1 things from this?

we can pick r fromthe k-1 on the right of the partition and n-1 -r from the ones one the left, thus

\binom{n+k-1}{n-1} = \sum_{r=0}^{k-1} \binom{k-1}{r}\binom{n}{n-1-r}

just reclall that choosing n-1-r from n is the same as choosing r+1 and nor shift the summation so it is indexed by i from 1 to k not r from 0 to k-1
 
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LHS = C(n+k-1,n-1) = C(n+k-1,k) {using the identity C(n,k) = C(n, n-k)}

This is simply the number of ways of choosing k objects out of n+k-1 objects.

Find an alternative way of doing this same thing. For instance, consider the collection of objects to be consisting of 2 piles. One pile has n objects and the other pile has k-1 objects. Pick up some i objects from the first pile and the remaining k-i objects from the second pile. Calculate the number of ways of doing this and you will see that this is merely a term on the RHS. Sum through all values of i to generate the complete RHS.

Edit : Just saw matt's post...and this is essentially doing the same thing. If you wish read through both and see how they are equivalent.
 
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