How to prove this strange combinatorical identity?

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Let $ninmathbbN$. I observed today that
$$1+n+sum_i_1=1^ni_1+sum_i_2=1^nsum_i_1=1^i_2i_1+sum_i_3=1^nsum_i_2=1^i_3sum_i_1=1^i_2i_1+dots + sum_i_n-1^nsum_i_n-2=1^i_n-1dotssum_i_1=1^i_2i_1=frac(2n)!(n!)^2$$
I'm wondering how this identity can be proven. Note that there are $n+1$ terms on the LHS.










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    The right side is $(n+1)C_n$, where $C_n$ is the Catalan number. So it looks like the left side counts the number of catalan paths, with multiplicity. I'd guess that multiplicity is from where the path makes its first turn.
    – Alex R.
    Sep 10 at 21:00














up vote
2
down vote

favorite
1












Let $ninmathbbN$. I observed today that
$$1+n+sum_i_1=1^ni_1+sum_i_2=1^nsum_i_1=1^i_2i_1+sum_i_3=1^nsum_i_2=1^i_3sum_i_1=1^i_2i_1+dots + sum_i_n-1^nsum_i_n-2=1^i_n-1dotssum_i_1=1^i_2i_1=frac(2n)!(n!)^2$$
I'm wondering how this identity can be proven. Note that there are $n+1$ terms on the LHS.










share|cite|improve this question



















  • 2




    The right side is $(n+1)C_n$, where $C_n$ is the Catalan number. So it looks like the left side counts the number of catalan paths, with multiplicity. I'd guess that multiplicity is from where the path makes its first turn.
    – Alex R.
    Sep 10 at 21:00












up vote
2
down vote

favorite
1









up vote
2
down vote

favorite
1






1





Let $ninmathbbN$. I observed today that
$$1+n+sum_i_1=1^ni_1+sum_i_2=1^nsum_i_1=1^i_2i_1+sum_i_3=1^nsum_i_2=1^i_3sum_i_1=1^i_2i_1+dots + sum_i_n-1^nsum_i_n-2=1^i_n-1dotssum_i_1=1^i_2i_1=frac(2n)!(n!)^2$$
I'm wondering how this identity can be proven. Note that there are $n+1$ terms on the LHS.










share|cite|improve this question















Let $ninmathbbN$. I observed today that
$$1+n+sum_i_1=1^ni_1+sum_i_2=1^nsum_i_1=1^i_2i_1+sum_i_3=1^nsum_i_2=1^i_3sum_i_1=1^i_2i_1+dots + sum_i_n-1^nsum_i_n-2=1^i_n-1dotssum_i_1=1^i_2i_1=frac(2n)!(n!)^2$$
I'm wondering how this identity can be proven. Note that there are $n+1$ terms on the LHS.







combinatorics number-theory






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edited Sep 10 at 20:53

























asked Sep 10 at 20:35









Adam

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  • 2




    The right side is $(n+1)C_n$, where $C_n$ is the Catalan number. So it looks like the left side counts the number of catalan paths, with multiplicity. I'd guess that multiplicity is from where the path makes its first turn.
    – Alex R.
    Sep 10 at 21:00












  • 2




    The right side is $(n+1)C_n$, where $C_n$ is the Catalan number. So it looks like the left side counts the number of catalan paths, with multiplicity. I'd guess that multiplicity is from where the path makes its first turn.
    – Alex R.
    Sep 10 at 21:00







2




2




The right side is $(n+1)C_n$, where $C_n$ is the Catalan number. So it looks like the left side counts the number of catalan paths, with multiplicity. I'd guess that multiplicity is from where the path makes its first turn.
– Alex R.
Sep 10 at 21:00




The right side is $(n+1)C_n$, where $C_n$ is the Catalan number. So it looks like the left side counts the number of catalan paths, with multiplicity. I'd guess that multiplicity is from where the path makes its first turn.
– Alex R.
Sep 10 at 21:00










2 Answers
2






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up vote
3
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accepted










Ignoring the initial $1$ on the LHS, you can write the $k^th$ term on the LHS as
$$
sum_i_1=1^nsum_i_2=1^i_1cdots sum_i_k=1^i_k-1i_k=sum_i_1=1^nsum_i_2=1^i_1cdots sum_i_k=1^i_k-1sum_i_k+1=1^i_k1
$$
Since we are summing the number $1$, the value of the summation is just equal to the number of ways to choose the indices.



A choice of indices is a weakly decreasing list $nge i_1ge i_2ge dots ge i_kge i_k+1ge 1$. Choosing these is equivalent to choosing a multi-set of $[n]$ of size $k+1$, the number of which is $binomn+kn-1$. Therefore, the LHS is
$$
1+binomnn-1+binomn+1n-1+dots+binom2n-1n-1,
$$
and the result follows by the hockey stick identity.






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    up vote
    2
    down vote













    Fix $1leqslant pleqslant 2n$ and let $A_p$ denote the number of ways to choose an $n$ element subset $T$ of $1, ldots, 2n$ with $max T=p$. Note that $A_p=0$ for $p<n$, $A_n=1$, and for $1leqslant jleqslant n$, $$A_n+j=sum_i_j=1^nldots sum_i_2=1^i_3 sum_i_1=1^i_21 = sum_i_j=1^nldots sum_i_2=1^i_3i_2.$$ Summing over $p$ gives the number of $n$ element subsets of $2n$, which is $binom2nn$, your right side, and it is also equal to $sum_p=n^2nA_p$, which is your left side.






    share|cite|improve this answer




















    • +1, But I think it is not quite so obvious why $A_n+j$ is equal to the number of subsets with maximum $n+j$. What do the numbers $i_1,i_2,dots,i_j$ represent?
      – Mike Earnest
      Sep 10 at 21:38










    • It was obvious enough to me that that's what the left side was counting without interpreting the indices. But I came up with: Computing $A_n+j$ involves counting a certain number of sets $T$ with $|T|=n$ and $max T=n+j$, which is the same as counting the distinct sets $1, ldots, n+jsetminus T$. Thus we can count the number of $j$ element subsets of $1, ldots, n+j-1$. If $U=t_1, ldots, t_j$ with $t_1<ldots <t_j$ is such a set, $i_k=t_k-k+1$ gives a $1$-$1$ correspondence to the indices that the sum $sum_i_j=1^n ldots sum_i_2=1^i_3sum_i_1=1^i_21$ is counting.
      – bangs
      Sep 10 at 21:59











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    2 Answers
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    active

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    2 Answers
    2






    active

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    active

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    up vote
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    down vote



    accepted










    Ignoring the initial $1$ on the LHS, you can write the $k^th$ term on the LHS as
    $$
    sum_i_1=1^nsum_i_2=1^i_1cdots sum_i_k=1^i_k-1i_k=sum_i_1=1^nsum_i_2=1^i_1cdots sum_i_k=1^i_k-1sum_i_k+1=1^i_k1
    $$
    Since we are summing the number $1$, the value of the summation is just equal to the number of ways to choose the indices.



    A choice of indices is a weakly decreasing list $nge i_1ge i_2ge dots ge i_kge i_k+1ge 1$. Choosing these is equivalent to choosing a multi-set of $[n]$ of size $k+1$, the number of which is $binomn+kn-1$. Therefore, the LHS is
    $$
    1+binomnn-1+binomn+1n-1+dots+binom2n-1n-1,
    $$
    and the result follows by the hockey stick identity.






    share|cite|improve this answer
























      up vote
      3
      down vote



      accepted










      Ignoring the initial $1$ on the LHS, you can write the $k^th$ term on the LHS as
      $$
      sum_i_1=1^nsum_i_2=1^i_1cdots sum_i_k=1^i_k-1i_k=sum_i_1=1^nsum_i_2=1^i_1cdots sum_i_k=1^i_k-1sum_i_k+1=1^i_k1
      $$
      Since we are summing the number $1$, the value of the summation is just equal to the number of ways to choose the indices.



      A choice of indices is a weakly decreasing list $nge i_1ge i_2ge dots ge i_kge i_k+1ge 1$. Choosing these is equivalent to choosing a multi-set of $[n]$ of size $k+1$, the number of which is $binomn+kn-1$. Therefore, the LHS is
      $$
      1+binomnn-1+binomn+1n-1+dots+binom2n-1n-1,
      $$
      and the result follows by the hockey stick identity.






      share|cite|improve this answer






















        up vote
        3
        down vote



        accepted







        up vote
        3
        down vote



        accepted






        Ignoring the initial $1$ on the LHS, you can write the $k^th$ term on the LHS as
        $$
        sum_i_1=1^nsum_i_2=1^i_1cdots sum_i_k=1^i_k-1i_k=sum_i_1=1^nsum_i_2=1^i_1cdots sum_i_k=1^i_k-1sum_i_k+1=1^i_k1
        $$
        Since we are summing the number $1$, the value of the summation is just equal to the number of ways to choose the indices.



        A choice of indices is a weakly decreasing list $nge i_1ge i_2ge dots ge i_kge i_k+1ge 1$. Choosing these is equivalent to choosing a multi-set of $[n]$ of size $k+1$, the number of which is $binomn+kn-1$. Therefore, the LHS is
        $$
        1+binomnn-1+binomn+1n-1+dots+binom2n-1n-1,
        $$
        and the result follows by the hockey stick identity.






        share|cite|improve this answer












        Ignoring the initial $1$ on the LHS, you can write the $k^th$ term on the LHS as
        $$
        sum_i_1=1^nsum_i_2=1^i_1cdots sum_i_k=1^i_k-1i_k=sum_i_1=1^nsum_i_2=1^i_1cdots sum_i_k=1^i_k-1sum_i_k+1=1^i_k1
        $$
        Since we are summing the number $1$, the value of the summation is just equal to the number of ways to choose the indices.



        A choice of indices is a weakly decreasing list $nge i_1ge i_2ge dots ge i_kge i_k+1ge 1$. Choosing these is equivalent to choosing a multi-set of $[n]$ of size $k+1$, the number of which is $binomn+kn-1$. Therefore, the LHS is
        $$
        1+binomnn-1+binomn+1n-1+dots+binom2n-1n-1,
        $$
        and the result follows by the hockey stick identity.







        share|cite|improve this answer












        share|cite|improve this answer



        share|cite|improve this answer










        answered Sep 10 at 21:19









        Mike Earnest

        18.6k11950




        18.6k11950




















            up vote
            2
            down vote













            Fix $1leqslant pleqslant 2n$ and let $A_p$ denote the number of ways to choose an $n$ element subset $T$ of $1, ldots, 2n$ with $max T=p$. Note that $A_p=0$ for $p<n$, $A_n=1$, and for $1leqslant jleqslant n$, $$A_n+j=sum_i_j=1^nldots sum_i_2=1^i_3 sum_i_1=1^i_21 = sum_i_j=1^nldots sum_i_2=1^i_3i_2.$$ Summing over $p$ gives the number of $n$ element subsets of $2n$, which is $binom2nn$, your right side, and it is also equal to $sum_p=n^2nA_p$, which is your left side.






            share|cite|improve this answer




















            • +1, But I think it is not quite so obvious why $A_n+j$ is equal to the number of subsets with maximum $n+j$. What do the numbers $i_1,i_2,dots,i_j$ represent?
              – Mike Earnest
              Sep 10 at 21:38










            • It was obvious enough to me that that's what the left side was counting without interpreting the indices. But I came up with: Computing $A_n+j$ involves counting a certain number of sets $T$ with $|T|=n$ and $max T=n+j$, which is the same as counting the distinct sets $1, ldots, n+jsetminus T$. Thus we can count the number of $j$ element subsets of $1, ldots, n+j-1$. If $U=t_1, ldots, t_j$ with $t_1<ldots <t_j$ is such a set, $i_k=t_k-k+1$ gives a $1$-$1$ correspondence to the indices that the sum $sum_i_j=1^n ldots sum_i_2=1^i_3sum_i_1=1^i_21$ is counting.
              – bangs
              Sep 10 at 21:59















            up vote
            2
            down vote













            Fix $1leqslant pleqslant 2n$ and let $A_p$ denote the number of ways to choose an $n$ element subset $T$ of $1, ldots, 2n$ with $max T=p$. Note that $A_p=0$ for $p<n$, $A_n=1$, and for $1leqslant jleqslant n$, $$A_n+j=sum_i_j=1^nldots sum_i_2=1^i_3 sum_i_1=1^i_21 = sum_i_j=1^nldots sum_i_2=1^i_3i_2.$$ Summing over $p$ gives the number of $n$ element subsets of $2n$, which is $binom2nn$, your right side, and it is also equal to $sum_p=n^2nA_p$, which is your left side.






            share|cite|improve this answer




















            • +1, But I think it is not quite so obvious why $A_n+j$ is equal to the number of subsets with maximum $n+j$. What do the numbers $i_1,i_2,dots,i_j$ represent?
              – Mike Earnest
              Sep 10 at 21:38










            • It was obvious enough to me that that's what the left side was counting without interpreting the indices. But I came up with: Computing $A_n+j$ involves counting a certain number of sets $T$ with $|T|=n$ and $max T=n+j$, which is the same as counting the distinct sets $1, ldots, n+jsetminus T$. Thus we can count the number of $j$ element subsets of $1, ldots, n+j-1$. If $U=t_1, ldots, t_j$ with $t_1<ldots <t_j$ is such a set, $i_k=t_k-k+1$ gives a $1$-$1$ correspondence to the indices that the sum $sum_i_j=1^n ldots sum_i_2=1^i_3sum_i_1=1^i_21$ is counting.
              – bangs
              Sep 10 at 21:59













            up vote
            2
            down vote










            up vote
            2
            down vote









            Fix $1leqslant pleqslant 2n$ and let $A_p$ denote the number of ways to choose an $n$ element subset $T$ of $1, ldots, 2n$ with $max T=p$. Note that $A_p=0$ for $p<n$, $A_n=1$, and for $1leqslant jleqslant n$, $$A_n+j=sum_i_j=1^nldots sum_i_2=1^i_3 sum_i_1=1^i_21 = sum_i_j=1^nldots sum_i_2=1^i_3i_2.$$ Summing over $p$ gives the number of $n$ element subsets of $2n$, which is $binom2nn$, your right side, and it is also equal to $sum_p=n^2nA_p$, which is your left side.






            share|cite|improve this answer












            Fix $1leqslant pleqslant 2n$ and let $A_p$ denote the number of ways to choose an $n$ element subset $T$ of $1, ldots, 2n$ with $max T=p$. Note that $A_p=0$ for $p<n$, $A_n=1$, and for $1leqslant jleqslant n$, $$A_n+j=sum_i_j=1^nldots sum_i_2=1^i_3 sum_i_1=1^i_21 = sum_i_j=1^nldots sum_i_2=1^i_3i_2.$$ Summing over $p$ gives the number of $n$ element subsets of $2n$, which is $binom2nn$, your right side, and it is also equal to $sum_p=n^2nA_p$, which is your left side.







            share|cite|improve this answer












            share|cite|improve this answer



            share|cite|improve this answer










            answered Sep 10 at 21:30









            bangs

            4628




            4628











            • +1, But I think it is not quite so obvious why $A_n+j$ is equal to the number of subsets with maximum $n+j$. What do the numbers $i_1,i_2,dots,i_j$ represent?
              – Mike Earnest
              Sep 10 at 21:38










            • It was obvious enough to me that that's what the left side was counting without interpreting the indices. But I came up with: Computing $A_n+j$ involves counting a certain number of sets $T$ with $|T|=n$ and $max T=n+j$, which is the same as counting the distinct sets $1, ldots, n+jsetminus T$. Thus we can count the number of $j$ element subsets of $1, ldots, n+j-1$. If $U=t_1, ldots, t_j$ with $t_1<ldots <t_j$ is such a set, $i_k=t_k-k+1$ gives a $1$-$1$ correspondence to the indices that the sum $sum_i_j=1^n ldots sum_i_2=1^i_3sum_i_1=1^i_21$ is counting.
              – bangs
              Sep 10 at 21:59

















            • +1, But I think it is not quite so obvious why $A_n+j$ is equal to the number of subsets with maximum $n+j$. What do the numbers $i_1,i_2,dots,i_j$ represent?
              – Mike Earnest
              Sep 10 at 21:38










            • It was obvious enough to me that that's what the left side was counting without interpreting the indices. But I came up with: Computing $A_n+j$ involves counting a certain number of sets $T$ with $|T|=n$ and $max T=n+j$, which is the same as counting the distinct sets $1, ldots, n+jsetminus T$. Thus we can count the number of $j$ element subsets of $1, ldots, n+j-1$. If $U=t_1, ldots, t_j$ with $t_1<ldots <t_j$ is such a set, $i_k=t_k-k+1$ gives a $1$-$1$ correspondence to the indices that the sum $sum_i_j=1^n ldots sum_i_2=1^i_3sum_i_1=1^i_21$ is counting.
              – bangs
              Sep 10 at 21:59
















            +1, But I think it is not quite so obvious why $A_n+j$ is equal to the number of subsets with maximum $n+j$. What do the numbers $i_1,i_2,dots,i_j$ represent?
            – Mike Earnest
            Sep 10 at 21:38




            +1, But I think it is not quite so obvious why $A_n+j$ is equal to the number of subsets with maximum $n+j$. What do the numbers $i_1,i_2,dots,i_j$ represent?
            – Mike Earnest
            Sep 10 at 21:38












            It was obvious enough to me that that's what the left side was counting without interpreting the indices. But I came up with: Computing $A_n+j$ involves counting a certain number of sets $T$ with $|T|=n$ and $max T=n+j$, which is the same as counting the distinct sets $1, ldots, n+jsetminus T$. Thus we can count the number of $j$ element subsets of $1, ldots, n+j-1$. If $U=t_1, ldots, t_j$ with $t_1<ldots <t_j$ is such a set, $i_k=t_k-k+1$ gives a $1$-$1$ correspondence to the indices that the sum $sum_i_j=1^n ldots sum_i_2=1^i_3sum_i_1=1^i_21$ is counting.
            – bangs
            Sep 10 at 21:59





            It was obvious enough to me that that's what the left side was counting without interpreting the indices. But I came up with: Computing $A_n+j$ involves counting a certain number of sets $T$ with $|T|=n$ and $max T=n+j$, which is the same as counting the distinct sets $1, ldots, n+jsetminus T$. Thus we can count the number of $j$ element subsets of $1, ldots, n+j-1$. If $U=t_1, ldots, t_j$ with $t_1<ldots <t_j$ is such a set, $i_k=t_k-k+1$ gives a $1$-$1$ correspondence to the indices that the sum $sum_i_j=1^n ldots sum_i_2=1^i_3sum_i_1=1^i_21$ is counting.
            – bangs
            Sep 10 at 21:59


















             

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