How many integer solutions are there to this equation?












2












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How many nonnegative integer solutions are there to: $x_1 + 2x_2 + x_3 = 10$? I am able to do this when it is simply $x_1 + x_2 + x_3 = 10$ but by multiplying $x_2$ by 2 has confused me.










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$endgroup$








  • 1




    $begingroup$
    Did you mean integer solutions (there are infinitely many) or perhaps nonnegative integer solutions?
    $endgroup$
    – hardmath
    Dec 2 '18 at 16:09










  • $begingroup$
    I assume you mean either positive or non-negative integers? Either way, given how small the values are, easiest is probably to run through the possible values of $x_2$ and work case by case.
    $endgroup$
    – lulu
    Dec 2 '18 at 16:09










  • $begingroup$
    I meant non negative integers sorry
    $endgroup$
    – Noobcoder
    Dec 2 '18 at 16:24










  • $begingroup$
    @lulu I understand we can go case by case, but I would like to learn how to do it using combinations and permutations as it will help me in other future problems where I wouldn't be able to go case by case.
    $endgroup$
    – Noobcoder
    Dec 2 '18 at 16:41








  • 1




    $begingroup$
    Problems with this sort of constraint can be very hard to count for large collections. In this case, with only three variables, it is easy since, for any fixed $x_2$ the possible $(x_1,x_3)$ are determined by $x_1$, say. I don't think there is any sort of one-size-fits-all approach to all possible linear constraints, in general.
    $endgroup$
    – lulu
    Dec 2 '18 at 17:04
















2












$begingroup$


How many nonnegative integer solutions are there to: $x_1 + 2x_2 + x_3 = 10$? I am able to do this when it is simply $x_1 + x_2 + x_3 = 10$ but by multiplying $x_2$ by 2 has confused me.










share|cite|improve this question











$endgroup$








  • 1




    $begingroup$
    Did you mean integer solutions (there are infinitely many) or perhaps nonnegative integer solutions?
    $endgroup$
    – hardmath
    Dec 2 '18 at 16:09










  • $begingroup$
    I assume you mean either positive or non-negative integers? Either way, given how small the values are, easiest is probably to run through the possible values of $x_2$ and work case by case.
    $endgroup$
    – lulu
    Dec 2 '18 at 16:09










  • $begingroup$
    I meant non negative integers sorry
    $endgroup$
    – Noobcoder
    Dec 2 '18 at 16:24










  • $begingroup$
    @lulu I understand we can go case by case, but I would like to learn how to do it using combinations and permutations as it will help me in other future problems where I wouldn't be able to go case by case.
    $endgroup$
    – Noobcoder
    Dec 2 '18 at 16:41








  • 1




    $begingroup$
    Problems with this sort of constraint can be very hard to count for large collections. In this case, with only three variables, it is easy since, for any fixed $x_2$ the possible $(x_1,x_3)$ are determined by $x_1$, say. I don't think there is any sort of one-size-fits-all approach to all possible linear constraints, in general.
    $endgroup$
    – lulu
    Dec 2 '18 at 17:04














2












2








2





$begingroup$


How many nonnegative integer solutions are there to: $x_1 + 2x_2 + x_3 = 10$? I am able to do this when it is simply $x_1 + x_2 + x_3 = 10$ but by multiplying $x_2$ by 2 has confused me.










share|cite|improve this question











$endgroup$




How many nonnegative integer solutions are there to: $x_1 + 2x_2 + x_3 = 10$? I am able to do this when it is simply $x_1 + x_2 + x_3 = 10$ but by multiplying $x_2$ by 2 has confused me.







combinatorics






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share|cite|improve this question













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share|cite|improve this question








edited Dec 3 '18 at 11:38









N. F. Taussig

44.3k93357




44.3k93357










asked Dec 2 '18 at 16:08









NoobcoderNoobcoder

274




274








  • 1




    $begingroup$
    Did you mean integer solutions (there are infinitely many) or perhaps nonnegative integer solutions?
    $endgroup$
    – hardmath
    Dec 2 '18 at 16:09










  • $begingroup$
    I assume you mean either positive or non-negative integers? Either way, given how small the values are, easiest is probably to run through the possible values of $x_2$ and work case by case.
    $endgroup$
    – lulu
    Dec 2 '18 at 16:09










  • $begingroup$
    I meant non negative integers sorry
    $endgroup$
    – Noobcoder
    Dec 2 '18 at 16:24










  • $begingroup$
    @lulu I understand we can go case by case, but I would like to learn how to do it using combinations and permutations as it will help me in other future problems where I wouldn't be able to go case by case.
    $endgroup$
    – Noobcoder
    Dec 2 '18 at 16:41








  • 1




    $begingroup$
    Problems with this sort of constraint can be very hard to count for large collections. In this case, with only three variables, it is easy since, for any fixed $x_2$ the possible $(x_1,x_3)$ are determined by $x_1$, say. I don't think there is any sort of one-size-fits-all approach to all possible linear constraints, in general.
    $endgroup$
    – lulu
    Dec 2 '18 at 17:04














  • 1




    $begingroup$
    Did you mean integer solutions (there are infinitely many) or perhaps nonnegative integer solutions?
    $endgroup$
    – hardmath
    Dec 2 '18 at 16:09










  • $begingroup$
    I assume you mean either positive or non-negative integers? Either way, given how small the values are, easiest is probably to run through the possible values of $x_2$ and work case by case.
    $endgroup$
    – lulu
    Dec 2 '18 at 16:09










  • $begingroup$
    I meant non negative integers sorry
    $endgroup$
    – Noobcoder
    Dec 2 '18 at 16:24










  • $begingroup$
    @lulu I understand we can go case by case, but I would like to learn how to do it using combinations and permutations as it will help me in other future problems where I wouldn't be able to go case by case.
    $endgroup$
    – Noobcoder
    Dec 2 '18 at 16:41








  • 1




    $begingroup$
    Problems with this sort of constraint can be very hard to count for large collections. In this case, with only three variables, it is easy since, for any fixed $x_2$ the possible $(x_1,x_3)$ are determined by $x_1$, say. I don't think there is any sort of one-size-fits-all approach to all possible linear constraints, in general.
    $endgroup$
    – lulu
    Dec 2 '18 at 17:04








1




1




$begingroup$
Did you mean integer solutions (there are infinitely many) or perhaps nonnegative integer solutions?
$endgroup$
– hardmath
Dec 2 '18 at 16:09




$begingroup$
Did you mean integer solutions (there are infinitely many) or perhaps nonnegative integer solutions?
$endgroup$
– hardmath
Dec 2 '18 at 16:09












$begingroup$
I assume you mean either positive or non-negative integers? Either way, given how small the values are, easiest is probably to run through the possible values of $x_2$ and work case by case.
$endgroup$
– lulu
Dec 2 '18 at 16:09




$begingroup$
I assume you mean either positive or non-negative integers? Either way, given how small the values are, easiest is probably to run through the possible values of $x_2$ and work case by case.
$endgroup$
– lulu
Dec 2 '18 at 16:09












$begingroup$
I meant non negative integers sorry
$endgroup$
– Noobcoder
Dec 2 '18 at 16:24




$begingroup$
I meant non negative integers sorry
$endgroup$
– Noobcoder
Dec 2 '18 at 16:24












$begingroup$
@lulu I understand we can go case by case, but I would like to learn how to do it using combinations and permutations as it will help me in other future problems where I wouldn't be able to go case by case.
$endgroup$
– Noobcoder
Dec 2 '18 at 16:41






$begingroup$
@lulu I understand we can go case by case, but I would like to learn how to do it using combinations and permutations as it will help me in other future problems where I wouldn't be able to go case by case.
$endgroup$
– Noobcoder
Dec 2 '18 at 16:41






1




1




$begingroup$
Problems with this sort of constraint can be very hard to count for large collections. In this case, with only three variables, it is easy since, for any fixed $x_2$ the possible $(x_1,x_3)$ are determined by $x_1$, say. I don't think there is any sort of one-size-fits-all approach to all possible linear constraints, in general.
$endgroup$
– lulu
Dec 2 '18 at 17:04




$begingroup$
Problems with this sort of constraint can be very hard to count for large collections. In this case, with only three variables, it is easy since, for any fixed $x_2$ the possible $(x_1,x_3)$ are determined by $x_1$, say. I don't think there is any sort of one-size-fits-all approach to all possible linear constraints, in general.
$endgroup$
– lulu
Dec 2 '18 at 17:04










3 Answers
3






active

oldest

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2












$begingroup$

Like mentioned in the comments, this sort of problems must be solved pretty much case by case, but let's try to solve at least a little bit more general problem than the particular one asked, namely how many non-negative integer solutions does the equation



$$x_1 + tx_2 + x_3 = n$$



have, where $t, ninmathbb{N}$.



This can be done by letting $x_1$ run through $1, 2, dots, n$ and checking how many values the variable $x_2$ can take, so that $x_1+tx_2 leq n$. The third variable $x_3$ will then always be forced and the solution will work (this happens because the coefficient of $x_3$ is $1$, otherwise $n-x_1-tx_2$ would need to be a multiple of the coefficient of $x_3$ to get an integer solution).



Ok, so if $x_1 = j$, for $n-j-tx_2$ to remain nonnegative, we must have



$$x_2 leq frac{n-j}{t}$$



and $x_2$ can take the values $0, 1, dots, lfloor frac{n-j}{t} rfloor$. Therefore the number of solutions is



$$sum_{j=0}^n left( 1 + leftlfloor frac{n-j}{t} rightrfloor right)
= sum_{j=0}^n left( 1 + leftlfloor frac{j}{t} rightrfloor right)
$$

$$
=n+1 + sum_{j=0}^n leftlfloor frac{j}{t} rightrfloor
$$



(Above we just flipped the sum, i.e change of index $jto n-j$ for a nicer looking formula).



For the particular case $t=2$, we can simplify this by considering cases $n$ even and $n$ odd, splitting the sum to even and odd parts and using the fact that $sum_{k=0}^r k= frac{r(r+1)}{2}$ to



$$n+1 + left lfloor frac{n^2}{4} right rfloor$$



and for $n=10$ we get $36$ solutions.






share|cite|improve this answer











$endgroup$





















    0












    $begingroup$

    $x_2$ may be $0...5$. $x_1$ may be $0.. ,10-2x_2$ and $x_3$ is fixed at $10-2x_2 - x_1$



    So there are



    $sumlimits_{x_2=0}^5 sumlimits_{x_1=0}^{10-2x_2} 1$



    Which may be reindexed as



    $sumlimits_{x_2=0}^5 sumlimits_{x_1=10; -1}^{2x_2} 1=$



    $sumlimits_{x_2=0}^5 sumlimits_{x_1=0}^{2x_2} 1=$



    $sumlimits_{x_2=0}^5 (2x+1) = $



    $6^2 = 36$






    share|cite|improve this answer









    $endgroup$





















      0












      $begingroup$

      Perhaps the hope for any general methods was too hastily discarded. We can use generating functions.



      If $a_n$ denotes the number of solutions to



      $$c_1x_1 + c_2x_2+dots + c_kx_k = n$$
      $$x_j geq 0$$



      Then the generating function $A(z) = sum_{n=0}^{infty} a_nz^n$ is given by



      $$A(z) = frac{1}{(1-z^{c_1})(1-z^{c_2})dots(1-z^{c_k})}$$



      This comes from the fact that compositions of $n$ into $k$ parts corresponds to a integer-sequence of length $k$. Now, you can use a size-function $xmapsto c_jx$ for each class of integers $cal{I}_j$ in the product $cal{I}_1 times cal{I}_2 dots times cal{I}_k$, so you have the correct equation. The generating function of the class $cal{I}_j$ is $frac{1}{1-z^{c_j}}$ because ${cal{I}}_j = text{SEQ}({ Z })$ and the element $Z$ has size $c_j$.



      I don't know if this actually helps, maybe you can do partial fraction expansion of $A(z)$.



      By the way, notice how in the case when all $c_j=1$ this amounts to the usual compositions:



      $$A(z) = left( frac{1}{1-z} right)^k = (1-z)^{-k} = sum_{j=0}^infty {{-k}choose{j}} (-z)^{j}$$



      so $a_j = {{-k}choose{j}} (-1)^{j} = {{k+j-1}choose{k-1}}$.






      share|cite|improve this answer









      $endgroup$













      • $begingroup$
        I realized this when reading 1.17 (on page 46) of algo.inria.fr/flajolet/Publications/book.pdf There inequality constraints between the variables are considered but similarly we can adjust the coefficients in when considering how the combinatorial class in question is constructed.
        $endgroup$
        – ploosu2
        Dec 10 '18 at 13:55













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      3 Answers
      3






      active

      oldest

      votes








      3 Answers
      3






      active

      oldest

      votes









      active

      oldest

      votes






      active

      oldest

      votes









      2












      $begingroup$

      Like mentioned in the comments, this sort of problems must be solved pretty much case by case, but let's try to solve at least a little bit more general problem than the particular one asked, namely how many non-negative integer solutions does the equation



      $$x_1 + tx_2 + x_3 = n$$



      have, where $t, ninmathbb{N}$.



      This can be done by letting $x_1$ run through $1, 2, dots, n$ and checking how many values the variable $x_2$ can take, so that $x_1+tx_2 leq n$. The third variable $x_3$ will then always be forced and the solution will work (this happens because the coefficient of $x_3$ is $1$, otherwise $n-x_1-tx_2$ would need to be a multiple of the coefficient of $x_3$ to get an integer solution).



      Ok, so if $x_1 = j$, for $n-j-tx_2$ to remain nonnegative, we must have



      $$x_2 leq frac{n-j}{t}$$



      and $x_2$ can take the values $0, 1, dots, lfloor frac{n-j}{t} rfloor$. Therefore the number of solutions is



      $$sum_{j=0}^n left( 1 + leftlfloor frac{n-j}{t} rightrfloor right)
      = sum_{j=0}^n left( 1 + leftlfloor frac{j}{t} rightrfloor right)
      $$

      $$
      =n+1 + sum_{j=0}^n leftlfloor frac{j}{t} rightrfloor
      $$



      (Above we just flipped the sum, i.e change of index $jto n-j$ for a nicer looking formula).



      For the particular case $t=2$, we can simplify this by considering cases $n$ even and $n$ odd, splitting the sum to even and odd parts and using the fact that $sum_{k=0}^r k= frac{r(r+1)}{2}$ to



      $$n+1 + left lfloor frac{n^2}{4} right rfloor$$



      and for $n=10$ we get $36$ solutions.






      share|cite|improve this answer











      $endgroup$


















        2












        $begingroup$

        Like mentioned in the comments, this sort of problems must be solved pretty much case by case, but let's try to solve at least a little bit more general problem than the particular one asked, namely how many non-negative integer solutions does the equation



        $$x_1 + tx_2 + x_3 = n$$



        have, where $t, ninmathbb{N}$.



        This can be done by letting $x_1$ run through $1, 2, dots, n$ and checking how many values the variable $x_2$ can take, so that $x_1+tx_2 leq n$. The third variable $x_3$ will then always be forced and the solution will work (this happens because the coefficient of $x_3$ is $1$, otherwise $n-x_1-tx_2$ would need to be a multiple of the coefficient of $x_3$ to get an integer solution).



        Ok, so if $x_1 = j$, for $n-j-tx_2$ to remain nonnegative, we must have



        $$x_2 leq frac{n-j}{t}$$



        and $x_2$ can take the values $0, 1, dots, lfloor frac{n-j}{t} rfloor$. Therefore the number of solutions is



        $$sum_{j=0}^n left( 1 + leftlfloor frac{n-j}{t} rightrfloor right)
        = sum_{j=0}^n left( 1 + leftlfloor frac{j}{t} rightrfloor right)
        $$

        $$
        =n+1 + sum_{j=0}^n leftlfloor frac{j}{t} rightrfloor
        $$



        (Above we just flipped the sum, i.e change of index $jto n-j$ for a nicer looking formula).



        For the particular case $t=2$, we can simplify this by considering cases $n$ even and $n$ odd, splitting the sum to even and odd parts and using the fact that $sum_{k=0}^r k= frac{r(r+1)}{2}$ to



        $$n+1 + left lfloor frac{n^2}{4} right rfloor$$



        and for $n=10$ we get $36$ solutions.






        share|cite|improve this answer











        $endgroup$
















          2












          2








          2





          $begingroup$

          Like mentioned in the comments, this sort of problems must be solved pretty much case by case, but let's try to solve at least a little bit more general problem than the particular one asked, namely how many non-negative integer solutions does the equation



          $$x_1 + tx_2 + x_3 = n$$



          have, where $t, ninmathbb{N}$.



          This can be done by letting $x_1$ run through $1, 2, dots, n$ and checking how many values the variable $x_2$ can take, so that $x_1+tx_2 leq n$. The third variable $x_3$ will then always be forced and the solution will work (this happens because the coefficient of $x_3$ is $1$, otherwise $n-x_1-tx_2$ would need to be a multiple of the coefficient of $x_3$ to get an integer solution).



          Ok, so if $x_1 = j$, for $n-j-tx_2$ to remain nonnegative, we must have



          $$x_2 leq frac{n-j}{t}$$



          and $x_2$ can take the values $0, 1, dots, lfloor frac{n-j}{t} rfloor$. Therefore the number of solutions is



          $$sum_{j=0}^n left( 1 + leftlfloor frac{n-j}{t} rightrfloor right)
          = sum_{j=0}^n left( 1 + leftlfloor frac{j}{t} rightrfloor right)
          $$

          $$
          =n+1 + sum_{j=0}^n leftlfloor frac{j}{t} rightrfloor
          $$



          (Above we just flipped the sum, i.e change of index $jto n-j$ for a nicer looking formula).



          For the particular case $t=2$, we can simplify this by considering cases $n$ even and $n$ odd, splitting the sum to even and odd parts and using the fact that $sum_{k=0}^r k= frac{r(r+1)}{2}$ to



          $$n+1 + left lfloor frac{n^2}{4} right rfloor$$



          and for $n=10$ we get $36$ solutions.






          share|cite|improve this answer











          $endgroup$



          Like mentioned in the comments, this sort of problems must be solved pretty much case by case, but let's try to solve at least a little bit more general problem than the particular one asked, namely how many non-negative integer solutions does the equation



          $$x_1 + tx_2 + x_3 = n$$



          have, where $t, ninmathbb{N}$.



          This can be done by letting $x_1$ run through $1, 2, dots, n$ and checking how many values the variable $x_2$ can take, so that $x_1+tx_2 leq n$. The third variable $x_3$ will then always be forced and the solution will work (this happens because the coefficient of $x_3$ is $1$, otherwise $n-x_1-tx_2$ would need to be a multiple of the coefficient of $x_3$ to get an integer solution).



          Ok, so if $x_1 = j$, for $n-j-tx_2$ to remain nonnegative, we must have



          $$x_2 leq frac{n-j}{t}$$



          and $x_2$ can take the values $0, 1, dots, lfloor frac{n-j}{t} rfloor$. Therefore the number of solutions is



          $$sum_{j=0}^n left( 1 + leftlfloor frac{n-j}{t} rightrfloor right)
          = sum_{j=0}^n left( 1 + leftlfloor frac{j}{t} rightrfloor right)
          $$

          $$
          =n+1 + sum_{j=0}^n leftlfloor frac{j}{t} rightrfloor
          $$



          (Above we just flipped the sum, i.e change of index $jto n-j$ for a nicer looking formula).



          For the particular case $t=2$, we can simplify this by considering cases $n$ even and $n$ odd, splitting the sum to even and odd parts and using the fact that $sum_{k=0}^r k= frac{r(r+1)}{2}$ to



          $$n+1 + left lfloor frac{n^2}{4} right rfloor$$



          and for $n=10$ we get $36$ solutions.







          share|cite|improve this answer














          share|cite|improve this answer



          share|cite|improve this answer








          edited Dec 3 '18 at 15:24

























          answered Dec 3 '18 at 15:17









          ploosu2ploosu2

          4,6451024




          4,6451024























              0












              $begingroup$

              $x_2$ may be $0...5$. $x_1$ may be $0.. ,10-2x_2$ and $x_3$ is fixed at $10-2x_2 - x_1$



              So there are



              $sumlimits_{x_2=0}^5 sumlimits_{x_1=0}^{10-2x_2} 1$



              Which may be reindexed as



              $sumlimits_{x_2=0}^5 sumlimits_{x_1=10; -1}^{2x_2} 1=$



              $sumlimits_{x_2=0}^5 sumlimits_{x_1=0}^{2x_2} 1=$



              $sumlimits_{x_2=0}^5 (2x+1) = $



              $6^2 = 36$






              share|cite|improve this answer









              $endgroup$


















                0












                $begingroup$

                $x_2$ may be $0...5$. $x_1$ may be $0.. ,10-2x_2$ and $x_3$ is fixed at $10-2x_2 - x_1$



                So there are



                $sumlimits_{x_2=0}^5 sumlimits_{x_1=0}^{10-2x_2} 1$



                Which may be reindexed as



                $sumlimits_{x_2=0}^5 sumlimits_{x_1=10; -1}^{2x_2} 1=$



                $sumlimits_{x_2=0}^5 sumlimits_{x_1=0}^{2x_2} 1=$



                $sumlimits_{x_2=0}^5 (2x+1) = $



                $6^2 = 36$






                share|cite|improve this answer









                $endgroup$
















                  0












                  0








                  0





                  $begingroup$

                  $x_2$ may be $0...5$. $x_1$ may be $0.. ,10-2x_2$ and $x_3$ is fixed at $10-2x_2 - x_1$



                  So there are



                  $sumlimits_{x_2=0}^5 sumlimits_{x_1=0}^{10-2x_2} 1$



                  Which may be reindexed as



                  $sumlimits_{x_2=0}^5 sumlimits_{x_1=10; -1}^{2x_2} 1=$



                  $sumlimits_{x_2=0}^5 sumlimits_{x_1=0}^{2x_2} 1=$



                  $sumlimits_{x_2=0}^5 (2x+1) = $



                  $6^2 = 36$






                  share|cite|improve this answer









                  $endgroup$



                  $x_2$ may be $0...5$. $x_1$ may be $0.. ,10-2x_2$ and $x_3$ is fixed at $10-2x_2 - x_1$



                  So there are



                  $sumlimits_{x_2=0}^5 sumlimits_{x_1=0}^{10-2x_2} 1$



                  Which may be reindexed as



                  $sumlimits_{x_2=0}^5 sumlimits_{x_1=10; -1}^{2x_2} 1=$



                  $sumlimits_{x_2=0}^5 sumlimits_{x_1=0}^{2x_2} 1=$



                  $sumlimits_{x_2=0}^5 (2x+1) = $



                  $6^2 = 36$







                  share|cite|improve this answer












                  share|cite|improve this answer



                  share|cite|improve this answer










                  answered Dec 3 '18 at 16:04









                  fleabloodfleablood

                  71k22686




                  71k22686























                      0












                      $begingroup$

                      Perhaps the hope for any general methods was too hastily discarded. We can use generating functions.



                      If $a_n$ denotes the number of solutions to



                      $$c_1x_1 + c_2x_2+dots + c_kx_k = n$$
                      $$x_j geq 0$$



                      Then the generating function $A(z) = sum_{n=0}^{infty} a_nz^n$ is given by



                      $$A(z) = frac{1}{(1-z^{c_1})(1-z^{c_2})dots(1-z^{c_k})}$$



                      This comes from the fact that compositions of $n$ into $k$ parts corresponds to a integer-sequence of length $k$. Now, you can use a size-function $xmapsto c_jx$ for each class of integers $cal{I}_j$ in the product $cal{I}_1 times cal{I}_2 dots times cal{I}_k$, so you have the correct equation. The generating function of the class $cal{I}_j$ is $frac{1}{1-z^{c_j}}$ because ${cal{I}}_j = text{SEQ}({ Z })$ and the element $Z$ has size $c_j$.



                      I don't know if this actually helps, maybe you can do partial fraction expansion of $A(z)$.



                      By the way, notice how in the case when all $c_j=1$ this amounts to the usual compositions:



                      $$A(z) = left( frac{1}{1-z} right)^k = (1-z)^{-k} = sum_{j=0}^infty {{-k}choose{j}} (-z)^{j}$$



                      so $a_j = {{-k}choose{j}} (-1)^{j} = {{k+j-1}choose{k-1}}$.






                      share|cite|improve this answer









                      $endgroup$













                      • $begingroup$
                        I realized this when reading 1.17 (on page 46) of algo.inria.fr/flajolet/Publications/book.pdf There inequality constraints between the variables are considered but similarly we can adjust the coefficients in when considering how the combinatorial class in question is constructed.
                        $endgroup$
                        – ploosu2
                        Dec 10 '18 at 13:55


















                      0












                      $begingroup$

                      Perhaps the hope for any general methods was too hastily discarded. We can use generating functions.



                      If $a_n$ denotes the number of solutions to



                      $$c_1x_1 + c_2x_2+dots + c_kx_k = n$$
                      $$x_j geq 0$$



                      Then the generating function $A(z) = sum_{n=0}^{infty} a_nz^n$ is given by



                      $$A(z) = frac{1}{(1-z^{c_1})(1-z^{c_2})dots(1-z^{c_k})}$$



                      This comes from the fact that compositions of $n$ into $k$ parts corresponds to a integer-sequence of length $k$. Now, you can use a size-function $xmapsto c_jx$ for each class of integers $cal{I}_j$ in the product $cal{I}_1 times cal{I}_2 dots times cal{I}_k$, so you have the correct equation. The generating function of the class $cal{I}_j$ is $frac{1}{1-z^{c_j}}$ because ${cal{I}}_j = text{SEQ}({ Z })$ and the element $Z$ has size $c_j$.



                      I don't know if this actually helps, maybe you can do partial fraction expansion of $A(z)$.



                      By the way, notice how in the case when all $c_j=1$ this amounts to the usual compositions:



                      $$A(z) = left( frac{1}{1-z} right)^k = (1-z)^{-k} = sum_{j=0}^infty {{-k}choose{j}} (-z)^{j}$$



                      so $a_j = {{-k}choose{j}} (-1)^{j} = {{k+j-1}choose{k-1}}$.






                      share|cite|improve this answer









                      $endgroup$













                      • $begingroup$
                        I realized this when reading 1.17 (on page 46) of algo.inria.fr/flajolet/Publications/book.pdf There inequality constraints between the variables are considered but similarly we can adjust the coefficients in when considering how the combinatorial class in question is constructed.
                        $endgroup$
                        – ploosu2
                        Dec 10 '18 at 13:55
















                      0












                      0








                      0





                      $begingroup$

                      Perhaps the hope for any general methods was too hastily discarded. We can use generating functions.



                      If $a_n$ denotes the number of solutions to



                      $$c_1x_1 + c_2x_2+dots + c_kx_k = n$$
                      $$x_j geq 0$$



                      Then the generating function $A(z) = sum_{n=0}^{infty} a_nz^n$ is given by



                      $$A(z) = frac{1}{(1-z^{c_1})(1-z^{c_2})dots(1-z^{c_k})}$$



                      This comes from the fact that compositions of $n$ into $k$ parts corresponds to a integer-sequence of length $k$. Now, you can use a size-function $xmapsto c_jx$ for each class of integers $cal{I}_j$ in the product $cal{I}_1 times cal{I}_2 dots times cal{I}_k$, so you have the correct equation. The generating function of the class $cal{I}_j$ is $frac{1}{1-z^{c_j}}$ because ${cal{I}}_j = text{SEQ}({ Z })$ and the element $Z$ has size $c_j$.



                      I don't know if this actually helps, maybe you can do partial fraction expansion of $A(z)$.



                      By the way, notice how in the case when all $c_j=1$ this amounts to the usual compositions:



                      $$A(z) = left( frac{1}{1-z} right)^k = (1-z)^{-k} = sum_{j=0}^infty {{-k}choose{j}} (-z)^{j}$$



                      so $a_j = {{-k}choose{j}} (-1)^{j} = {{k+j-1}choose{k-1}}$.






                      share|cite|improve this answer









                      $endgroup$



                      Perhaps the hope for any general methods was too hastily discarded. We can use generating functions.



                      If $a_n$ denotes the number of solutions to



                      $$c_1x_1 + c_2x_2+dots + c_kx_k = n$$
                      $$x_j geq 0$$



                      Then the generating function $A(z) = sum_{n=0}^{infty} a_nz^n$ is given by



                      $$A(z) = frac{1}{(1-z^{c_1})(1-z^{c_2})dots(1-z^{c_k})}$$



                      This comes from the fact that compositions of $n$ into $k$ parts corresponds to a integer-sequence of length $k$. Now, you can use a size-function $xmapsto c_jx$ for each class of integers $cal{I}_j$ in the product $cal{I}_1 times cal{I}_2 dots times cal{I}_k$, so you have the correct equation. The generating function of the class $cal{I}_j$ is $frac{1}{1-z^{c_j}}$ because ${cal{I}}_j = text{SEQ}({ Z })$ and the element $Z$ has size $c_j$.



                      I don't know if this actually helps, maybe you can do partial fraction expansion of $A(z)$.



                      By the way, notice how in the case when all $c_j=1$ this amounts to the usual compositions:



                      $$A(z) = left( frac{1}{1-z} right)^k = (1-z)^{-k} = sum_{j=0}^infty {{-k}choose{j}} (-z)^{j}$$



                      so $a_j = {{-k}choose{j}} (-1)^{j} = {{k+j-1}choose{k-1}}$.







                      share|cite|improve this answer












                      share|cite|improve this answer



                      share|cite|improve this answer










                      answered Dec 10 '18 at 13:48









                      ploosu2ploosu2

                      4,6451024




                      4,6451024












                      • $begingroup$
                        I realized this when reading 1.17 (on page 46) of algo.inria.fr/flajolet/Publications/book.pdf There inequality constraints between the variables are considered but similarly we can adjust the coefficients in when considering how the combinatorial class in question is constructed.
                        $endgroup$
                        – ploosu2
                        Dec 10 '18 at 13:55




















                      • $begingroup$
                        I realized this when reading 1.17 (on page 46) of algo.inria.fr/flajolet/Publications/book.pdf There inequality constraints between the variables are considered but similarly we can adjust the coefficients in when considering how the combinatorial class in question is constructed.
                        $endgroup$
                        – ploosu2
                        Dec 10 '18 at 13:55


















                      $begingroup$
                      I realized this when reading 1.17 (on page 46) of algo.inria.fr/flajolet/Publications/book.pdf There inequality constraints between the variables are considered but similarly we can adjust the coefficients in when considering how the combinatorial class in question is constructed.
                      $endgroup$
                      – ploosu2
                      Dec 10 '18 at 13:55






                      $begingroup$
                      I realized this when reading 1.17 (on page 46) of algo.inria.fr/flajolet/Publications/book.pdf There inequality constraints between the variables are considered but similarly we can adjust the coefficients in when considering how the combinatorial class in question is constructed.
                      $endgroup$
                      – ploosu2
                      Dec 10 '18 at 13:55




















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