How works multiindex?

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Can anyone explain me how works multiindex?
For example here:
$|overliner| = r_0 + r_1 + cdots + r_n $
$sum_j=1^msum_a_ijleft(fracpartial taupartialx_0 right)^r_0 left(fracpartial taupartialx_1 right)^r_1 cdots left(fracpartial taupartialx_n right)^r_n $



And sometimes I see this note: $|overliner| leq mu_j$



Thank you in advance for explaining!







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    Can anyone explain me how works multiindex?
    For example here:
    $|overliner| = r_0 + r_1 + cdots + r_n $
    $sum_j=1^msum_a_ijleft(fracpartial taupartialx_0 right)^r_0 left(fracpartial taupartialx_1 right)^r_1 cdots left(fracpartial taupartialx_n right)^r_n $



    And sometimes I see this note: $|overliner| leq mu_j$



    Thank you in advance for explaining!







    share|cite|improve this question























      up vote
      1
      down vote

      favorite









      up vote
      1
      down vote

      favorite











      Can anyone explain me how works multiindex?
      For example here:
      $|overliner| = r_0 + r_1 + cdots + r_n $
      $sum_j=1^msum_a_ijleft(fracpartial taupartialx_0 right)^r_0 left(fracpartial taupartialx_1 right)^r_1 cdots left(fracpartial taupartialx_n right)^r_n $



      And sometimes I see this note: $|overliner| leq mu_j$



      Thank you in advance for explaining!







      share|cite|improve this question













      Can anyone explain me how works multiindex?
      For example here:
      $|overliner| = r_0 + r_1 + cdots + r_n $
      $sum_j=1^msum_a_ijleft(fracpartial taupartialx_0 right)^r_0 left(fracpartial taupartialx_1 right)^r_1 cdots left(fracpartial taupartialx_n right)^r_n $



      And sometimes I see this note: $|overliner| leq mu_j$



      Thank you in advance for explaining!









      share|cite|improve this question












      share|cite|improve this question




      share|cite|improve this question








      edited Jul 15 at 10:15
























      asked Jul 15 at 9:35









      Ilqur

      12110




      12110




















          1 Answer
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          up vote
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          down vote



          accepted










          The multi-index is an $n$-tuple of numbers $$r = (r_1,r_2,...r_n);;;;r_i in mathbbN;;forall i$$
          (so is different from a vector for the fact that all of it's components have to be positive integers) where you can define some operations such as sum and difference, absolute value, power:



          • $r+s = (r_1+s_1,dots, r_n+s_n)$

          • $|r| = r_1+r_2+dots+r_n$

          • $x^r = x_1^r_1x_2^r_2dots x_n^r_n$

          With this facts you can define, in a compact way, lots of mathematical concept like partial derivatives. I don't want to give you a list of all the things, for that there's a very good page on Wikipedia.



          Let us now look at your formula. Without any context is difficult to give it a precise explanation but let me make some hypothesis: $$vecmu = (mu_0, mu_1, mu_2) = (6,10,6);;;textvector\ r = (r_0,r_1,r_2) = (2,1,3);;;textmulti-index\ mathbfx = (x_0,x_1,x_2);;textwhere;; x_n;;textis our coordinate system\a_ij;;textis a matrix$$



          From your formula, the index $i$ is not summed over so it remains at the end of the calculation. Bare in mind that $|r| = 2+1+3 = 6$
          beginalign
          &B_i=sum_j=1^3sum_a_ijleft(fracpartial taupartialx_0 right)^r_0 left(fracpartial taupartialx_1 right)^r_1left(fracpartial taupartialx_2 right)^r_2 = \&a_i1 left(fracpartial taupartialx_0 right)^2 left(fracpartial taupartialx_1 right)^1left(fracpartial taupartialx_2 right)^3 + ;;;;;textfor j=1: mu_1 = 6 = |r|
          \&a_i2 left(fracpartial taupartialx_0 right)^2 left(fracpartial taupartialx_1 right)^1left(fracpartial taupartialx_2 right)^3 + ;;;;;textfor j=2: mu_2 = 10 neq |r| text so we don't count it
          \&a_i3 left(fracpartial taupartialx_0 right)^2 left(fracpartial taupartialx_1 right)^1left(fracpartial taupartialx_2 right)^3 ;;;;;;;;;textfor j=2: mu_3 = 6 = |r|
          endalign
          So in the end we have
          $$
          B_i = a_i1 left(fracpartial taupartialx_0 right)^2 left(fracpartial taupartialx_1 right)^1left(fracpartial taupartialx_2 right)^3 + a_i3 left(fracpartial taupartialx_0 right)^2 left(fracpartial taupartialx_1 right)^1left(fracpartial taupartialx_2 right)^3
          $$
          so if, for example $a_ij = delta_ij$, the identity matrix, we get that
          $$ B_i = left{beginmatrix 2left(fracpartial taupartialx_0 right)^2 left(fracpartial taupartialx_1 right)left(fracpartial taupartialx_2 right)^3&textif i=1,3 \ 0 &textif i=2endmatrixright.$$



          I hope this will help you!



          Edit



          As @Steffen Plunder made me notice, the formula that we were trying to study is quite more complex that how I made it look like. That's because the second summation $sum_r$ requires ones to choose beforehand only the value of $|r|$ (that probably is given) and then sum ove all the multi-indices whose absolute value is $|r|$ and it's equal to $mu_j$ (which from my example is $|r|=6$ with $r=(r_0,r_1,r_2)$) so like $$(0,0,6), (1,0,5), (1,1,4), (6,0,0), (0,5,1), (2,2,2), dots$$ and so on. But I think that the concept of how does the multi-index works is still given by my previous answer, the problem now is on the formula itself. In the comment to my answer is a more precise formula for the sum over all the multi-indices whose absolute value is $|r|$ and is less or equal to some value $k$. Thanks for the correction!






          share|cite|improve this answer























          • Thank you very much!
            – Ilqur
            Jul 15 at 10:32










          • In the example with $B_i$, after the second equality sign, you miss out all the other possible multi-indices which have absolute value $6$. Maybe it would be good to explain $sum_ < k A_bar r= sum_r_1=0^k sum_r_2=0^k-r_1 dots sum_r_n=0^k-r_1 - dots - r_n-1 A_(r_1,dots,r_n) $
            – Steffen Plunder
            Jul 15 at 10:33






          • 2




            Yes, that's true. I gave the example on only one multi-index as I thought that this would explain at lest how the multi-index notation works. As I said, I don't really know were that formula comes from but in a more general manner the sum has to be taken on all the possible multi-indices with absolute value of $6$. I'll edit the post to integrate your detail!
            – Davide Morgante
            Jul 15 at 10:43










          • Thanks for the edit!
            – Steffen Plunder
            Jul 15 at 11:06










          • Thank you for the correction @SteffenPlunder :)
            – Davide Morgante
            Jul 15 at 11:06










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          1 Answer
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          active

          oldest

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          1 Answer
          1






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes








          up vote
          1
          down vote



          accepted










          The multi-index is an $n$-tuple of numbers $$r = (r_1,r_2,...r_n);;;;r_i in mathbbN;;forall i$$
          (so is different from a vector for the fact that all of it's components have to be positive integers) where you can define some operations such as sum and difference, absolute value, power:



          • $r+s = (r_1+s_1,dots, r_n+s_n)$

          • $|r| = r_1+r_2+dots+r_n$

          • $x^r = x_1^r_1x_2^r_2dots x_n^r_n$

          With this facts you can define, in a compact way, lots of mathematical concept like partial derivatives. I don't want to give you a list of all the things, for that there's a very good page on Wikipedia.



          Let us now look at your formula. Without any context is difficult to give it a precise explanation but let me make some hypothesis: $$vecmu = (mu_0, mu_1, mu_2) = (6,10,6);;;textvector\ r = (r_0,r_1,r_2) = (2,1,3);;;textmulti-index\ mathbfx = (x_0,x_1,x_2);;textwhere;; x_n;;textis our coordinate system\a_ij;;textis a matrix$$



          From your formula, the index $i$ is not summed over so it remains at the end of the calculation. Bare in mind that $|r| = 2+1+3 = 6$
          beginalign
          &B_i=sum_j=1^3sum_a_ijleft(fracpartial taupartialx_0 right)^r_0 left(fracpartial taupartialx_1 right)^r_1left(fracpartial taupartialx_2 right)^r_2 = \&a_i1 left(fracpartial taupartialx_0 right)^2 left(fracpartial taupartialx_1 right)^1left(fracpartial taupartialx_2 right)^3 + ;;;;;textfor j=1: mu_1 = 6 = |r|
          \&a_i2 left(fracpartial taupartialx_0 right)^2 left(fracpartial taupartialx_1 right)^1left(fracpartial taupartialx_2 right)^3 + ;;;;;textfor j=2: mu_2 = 10 neq |r| text so we don't count it
          \&a_i3 left(fracpartial taupartialx_0 right)^2 left(fracpartial taupartialx_1 right)^1left(fracpartial taupartialx_2 right)^3 ;;;;;;;;;textfor j=2: mu_3 = 6 = |r|
          endalign
          So in the end we have
          $$
          B_i = a_i1 left(fracpartial taupartialx_0 right)^2 left(fracpartial taupartialx_1 right)^1left(fracpartial taupartialx_2 right)^3 + a_i3 left(fracpartial taupartialx_0 right)^2 left(fracpartial taupartialx_1 right)^1left(fracpartial taupartialx_2 right)^3
          $$
          so if, for example $a_ij = delta_ij$, the identity matrix, we get that
          $$ B_i = left{beginmatrix 2left(fracpartial taupartialx_0 right)^2 left(fracpartial taupartialx_1 right)left(fracpartial taupartialx_2 right)^3&textif i=1,3 \ 0 &textif i=2endmatrixright.$$



          I hope this will help you!



          Edit



          As @Steffen Plunder made me notice, the formula that we were trying to study is quite more complex that how I made it look like. That's because the second summation $sum_r$ requires ones to choose beforehand only the value of $|r|$ (that probably is given) and then sum ove all the multi-indices whose absolute value is $|r|$ and it's equal to $mu_j$ (which from my example is $|r|=6$ with $r=(r_0,r_1,r_2)$) so like $$(0,0,6), (1,0,5), (1,1,4), (6,0,0), (0,5,1), (2,2,2), dots$$ and so on. But I think that the concept of how does the multi-index works is still given by my previous answer, the problem now is on the formula itself. In the comment to my answer is a more precise formula for the sum over all the multi-indices whose absolute value is $|r|$ and is less or equal to some value $k$. Thanks for the correction!






          share|cite|improve this answer























          • Thank you very much!
            – Ilqur
            Jul 15 at 10:32










          • In the example with $B_i$, after the second equality sign, you miss out all the other possible multi-indices which have absolute value $6$. Maybe it would be good to explain $sum_ < k A_bar r= sum_r_1=0^k sum_r_2=0^k-r_1 dots sum_r_n=0^k-r_1 - dots - r_n-1 A_(r_1,dots,r_n) $
            – Steffen Plunder
            Jul 15 at 10:33






          • 2




            Yes, that's true. I gave the example on only one multi-index as I thought that this would explain at lest how the multi-index notation works. As I said, I don't really know were that formula comes from but in a more general manner the sum has to be taken on all the possible multi-indices with absolute value of $6$. I'll edit the post to integrate your detail!
            – Davide Morgante
            Jul 15 at 10:43










          • Thanks for the edit!
            – Steffen Plunder
            Jul 15 at 11:06










          • Thank you for the correction @SteffenPlunder :)
            – Davide Morgante
            Jul 15 at 11:06














          up vote
          1
          down vote



          accepted










          The multi-index is an $n$-tuple of numbers $$r = (r_1,r_2,...r_n);;;;r_i in mathbbN;;forall i$$
          (so is different from a vector for the fact that all of it's components have to be positive integers) where you can define some operations such as sum and difference, absolute value, power:



          • $r+s = (r_1+s_1,dots, r_n+s_n)$

          • $|r| = r_1+r_2+dots+r_n$

          • $x^r = x_1^r_1x_2^r_2dots x_n^r_n$

          With this facts you can define, in a compact way, lots of mathematical concept like partial derivatives. I don't want to give you a list of all the things, for that there's a very good page on Wikipedia.



          Let us now look at your formula. Without any context is difficult to give it a precise explanation but let me make some hypothesis: $$vecmu = (mu_0, mu_1, mu_2) = (6,10,6);;;textvector\ r = (r_0,r_1,r_2) = (2,1,3);;;textmulti-index\ mathbfx = (x_0,x_1,x_2);;textwhere;; x_n;;textis our coordinate system\a_ij;;textis a matrix$$



          From your formula, the index $i$ is not summed over so it remains at the end of the calculation. Bare in mind that $|r| = 2+1+3 = 6$
          beginalign
          &B_i=sum_j=1^3sum_a_ijleft(fracpartial taupartialx_0 right)^r_0 left(fracpartial taupartialx_1 right)^r_1left(fracpartial taupartialx_2 right)^r_2 = \&a_i1 left(fracpartial taupartialx_0 right)^2 left(fracpartial taupartialx_1 right)^1left(fracpartial taupartialx_2 right)^3 + ;;;;;textfor j=1: mu_1 = 6 = |r|
          \&a_i2 left(fracpartial taupartialx_0 right)^2 left(fracpartial taupartialx_1 right)^1left(fracpartial taupartialx_2 right)^3 + ;;;;;textfor j=2: mu_2 = 10 neq |r| text so we don't count it
          \&a_i3 left(fracpartial taupartialx_0 right)^2 left(fracpartial taupartialx_1 right)^1left(fracpartial taupartialx_2 right)^3 ;;;;;;;;;textfor j=2: mu_3 = 6 = |r|
          endalign
          So in the end we have
          $$
          B_i = a_i1 left(fracpartial taupartialx_0 right)^2 left(fracpartial taupartialx_1 right)^1left(fracpartial taupartialx_2 right)^3 + a_i3 left(fracpartial taupartialx_0 right)^2 left(fracpartial taupartialx_1 right)^1left(fracpartial taupartialx_2 right)^3
          $$
          so if, for example $a_ij = delta_ij$, the identity matrix, we get that
          $$ B_i = left{beginmatrix 2left(fracpartial taupartialx_0 right)^2 left(fracpartial taupartialx_1 right)left(fracpartial taupartialx_2 right)^3&textif i=1,3 \ 0 &textif i=2endmatrixright.$$



          I hope this will help you!



          Edit



          As @Steffen Plunder made me notice, the formula that we were trying to study is quite more complex that how I made it look like. That's because the second summation $sum_r$ requires ones to choose beforehand only the value of $|r|$ (that probably is given) and then sum ove all the multi-indices whose absolute value is $|r|$ and it's equal to $mu_j$ (which from my example is $|r|=6$ with $r=(r_0,r_1,r_2)$) so like $$(0,0,6), (1,0,5), (1,1,4), (6,0,0), (0,5,1), (2,2,2), dots$$ and so on. But I think that the concept of how does the multi-index works is still given by my previous answer, the problem now is on the formula itself. In the comment to my answer is a more precise formula for the sum over all the multi-indices whose absolute value is $|r|$ and is less or equal to some value $k$. Thanks for the correction!






          share|cite|improve this answer























          • Thank you very much!
            – Ilqur
            Jul 15 at 10:32










          • In the example with $B_i$, after the second equality sign, you miss out all the other possible multi-indices which have absolute value $6$. Maybe it would be good to explain $sum_ < k A_bar r= sum_r_1=0^k sum_r_2=0^k-r_1 dots sum_r_n=0^k-r_1 - dots - r_n-1 A_(r_1,dots,r_n) $
            – Steffen Plunder
            Jul 15 at 10:33






          • 2




            Yes, that's true. I gave the example on only one multi-index as I thought that this would explain at lest how the multi-index notation works. As I said, I don't really know were that formula comes from but in a more general manner the sum has to be taken on all the possible multi-indices with absolute value of $6$. I'll edit the post to integrate your detail!
            – Davide Morgante
            Jul 15 at 10:43










          • Thanks for the edit!
            – Steffen Plunder
            Jul 15 at 11:06










          • Thank you for the correction @SteffenPlunder :)
            – Davide Morgante
            Jul 15 at 11:06












          up vote
          1
          down vote



          accepted







          up vote
          1
          down vote



          accepted






          The multi-index is an $n$-tuple of numbers $$r = (r_1,r_2,...r_n);;;;r_i in mathbbN;;forall i$$
          (so is different from a vector for the fact that all of it's components have to be positive integers) where you can define some operations such as sum and difference, absolute value, power:



          • $r+s = (r_1+s_1,dots, r_n+s_n)$

          • $|r| = r_1+r_2+dots+r_n$

          • $x^r = x_1^r_1x_2^r_2dots x_n^r_n$

          With this facts you can define, in a compact way, lots of mathematical concept like partial derivatives. I don't want to give you a list of all the things, for that there's a very good page on Wikipedia.



          Let us now look at your formula. Without any context is difficult to give it a precise explanation but let me make some hypothesis: $$vecmu = (mu_0, mu_1, mu_2) = (6,10,6);;;textvector\ r = (r_0,r_1,r_2) = (2,1,3);;;textmulti-index\ mathbfx = (x_0,x_1,x_2);;textwhere;; x_n;;textis our coordinate system\a_ij;;textis a matrix$$



          From your formula, the index $i$ is not summed over so it remains at the end of the calculation. Bare in mind that $|r| = 2+1+3 = 6$
          beginalign
          &B_i=sum_j=1^3sum_a_ijleft(fracpartial taupartialx_0 right)^r_0 left(fracpartial taupartialx_1 right)^r_1left(fracpartial taupartialx_2 right)^r_2 = \&a_i1 left(fracpartial taupartialx_0 right)^2 left(fracpartial taupartialx_1 right)^1left(fracpartial taupartialx_2 right)^3 + ;;;;;textfor j=1: mu_1 = 6 = |r|
          \&a_i2 left(fracpartial taupartialx_0 right)^2 left(fracpartial taupartialx_1 right)^1left(fracpartial taupartialx_2 right)^3 + ;;;;;textfor j=2: mu_2 = 10 neq |r| text so we don't count it
          \&a_i3 left(fracpartial taupartialx_0 right)^2 left(fracpartial taupartialx_1 right)^1left(fracpartial taupartialx_2 right)^3 ;;;;;;;;;textfor j=2: mu_3 = 6 = |r|
          endalign
          So in the end we have
          $$
          B_i = a_i1 left(fracpartial taupartialx_0 right)^2 left(fracpartial taupartialx_1 right)^1left(fracpartial taupartialx_2 right)^3 + a_i3 left(fracpartial taupartialx_0 right)^2 left(fracpartial taupartialx_1 right)^1left(fracpartial taupartialx_2 right)^3
          $$
          so if, for example $a_ij = delta_ij$, the identity matrix, we get that
          $$ B_i = left{beginmatrix 2left(fracpartial taupartialx_0 right)^2 left(fracpartial taupartialx_1 right)left(fracpartial taupartialx_2 right)^3&textif i=1,3 \ 0 &textif i=2endmatrixright.$$



          I hope this will help you!



          Edit



          As @Steffen Plunder made me notice, the formula that we were trying to study is quite more complex that how I made it look like. That's because the second summation $sum_r$ requires ones to choose beforehand only the value of $|r|$ (that probably is given) and then sum ove all the multi-indices whose absolute value is $|r|$ and it's equal to $mu_j$ (which from my example is $|r|=6$ with $r=(r_0,r_1,r_2)$) so like $$(0,0,6), (1,0,5), (1,1,4), (6,0,0), (0,5,1), (2,2,2), dots$$ and so on. But I think that the concept of how does the multi-index works is still given by my previous answer, the problem now is on the formula itself. In the comment to my answer is a more precise formula for the sum over all the multi-indices whose absolute value is $|r|$ and is less or equal to some value $k$. Thanks for the correction!






          share|cite|improve this answer















          The multi-index is an $n$-tuple of numbers $$r = (r_1,r_2,...r_n);;;;r_i in mathbbN;;forall i$$
          (so is different from a vector for the fact that all of it's components have to be positive integers) where you can define some operations such as sum and difference, absolute value, power:



          • $r+s = (r_1+s_1,dots, r_n+s_n)$

          • $|r| = r_1+r_2+dots+r_n$

          • $x^r = x_1^r_1x_2^r_2dots x_n^r_n$

          With this facts you can define, in a compact way, lots of mathematical concept like partial derivatives. I don't want to give you a list of all the things, for that there's a very good page on Wikipedia.



          Let us now look at your formula. Without any context is difficult to give it a precise explanation but let me make some hypothesis: $$vecmu = (mu_0, mu_1, mu_2) = (6,10,6);;;textvector\ r = (r_0,r_1,r_2) = (2,1,3);;;textmulti-index\ mathbfx = (x_0,x_1,x_2);;textwhere;; x_n;;textis our coordinate system\a_ij;;textis a matrix$$



          From your formula, the index $i$ is not summed over so it remains at the end of the calculation. Bare in mind that $|r| = 2+1+3 = 6$
          beginalign
          &B_i=sum_j=1^3sum_a_ijleft(fracpartial taupartialx_0 right)^r_0 left(fracpartial taupartialx_1 right)^r_1left(fracpartial taupartialx_2 right)^r_2 = \&a_i1 left(fracpartial taupartialx_0 right)^2 left(fracpartial taupartialx_1 right)^1left(fracpartial taupartialx_2 right)^3 + ;;;;;textfor j=1: mu_1 = 6 = |r|
          \&a_i2 left(fracpartial taupartialx_0 right)^2 left(fracpartial taupartialx_1 right)^1left(fracpartial taupartialx_2 right)^3 + ;;;;;textfor j=2: mu_2 = 10 neq |r| text so we don't count it
          \&a_i3 left(fracpartial taupartialx_0 right)^2 left(fracpartial taupartialx_1 right)^1left(fracpartial taupartialx_2 right)^3 ;;;;;;;;;textfor j=2: mu_3 = 6 = |r|
          endalign
          So in the end we have
          $$
          B_i = a_i1 left(fracpartial taupartialx_0 right)^2 left(fracpartial taupartialx_1 right)^1left(fracpartial taupartialx_2 right)^3 + a_i3 left(fracpartial taupartialx_0 right)^2 left(fracpartial taupartialx_1 right)^1left(fracpartial taupartialx_2 right)^3
          $$
          so if, for example $a_ij = delta_ij$, the identity matrix, we get that
          $$ B_i = left{beginmatrix 2left(fracpartial taupartialx_0 right)^2 left(fracpartial taupartialx_1 right)left(fracpartial taupartialx_2 right)^3&textif i=1,3 \ 0 &textif i=2endmatrixright.$$



          I hope this will help you!



          Edit



          As @Steffen Plunder made me notice, the formula that we were trying to study is quite more complex that how I made it look like. That's because the second summation $sum_r$ requires ones to choose beforehand only the value of $|r|$ (that probably is given) and then sum ove all the multi-indices whose absolute value is $|r|$ and it's equal to $mu_j$ (which from my example is $|r|=6$ with $r=(r_0,r_1,r_2)$) so like $$(0,0,6), (1,0,5), (1,1,4), (6,0,0), (0,5,1), (2,2,2), dots$$ and so on. But I think that the concept of how does the multi-index works is still given by my previous answer, the problem now is on the formula itself. In the comment to my answer is a more precise formula for the sum over all the multi-indices whose absolute value is $|r|$ and is less or equal to some value $k$. Thanks for the correction!







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          edited Jul 15 at 10:59


























          answered Jul 15 at 10:23









          Davide Morgante

          1,904220




          1,904220











          • Thank you very much!
            – Ilqur
            Jul 15 at 10:32










          • In the example with $B_i$, after the second equality sign, you miss out all the other possible multi-indices which have absolute value $6$. Maybe it would be good to explain $sum_ < k A_bar r= sum_r_1=0^k sum_r_2=0^k-r_1 dots sum_r_n=0^k-r_1 - dots - r_n-1 A_(r_1,dots,r_n) $
            – Steffen Plunder
            Jul 15 at 10:33






          • 2




            Yes, that's true. I gave the example on only one multi-index as I thought that this would explain at lest how the multi-index notation works. As I said, I don't really know were that formula comes from but in a more general manner the sum has to be taken on all the possible multi-indices with absolute value of $6$. I'll edit the post to integrate your detail!
            – Davide Morgante
            Jul 15 at 10:43










          • Thanks for the edit!
            – Steffen Plunder
            Jul 15 at 11:06










          • Thank you for the correction @SteffenPlunder :)
            – Davide Morgante
            Jul 15 at 11:06
















          • Thank you very much!
            – Ilqur
            Jul 15 at 10:32










          • In the example with $B_i$, after the second equality sign, you miss out all the other possible multi-indices which have absolute value $6$. Maybe it would be good to explain $sum_ < k A_bar r= sum_r_1=0^k sum_r_2=0^k-r_1 dots sum_r_n=0^k-r_1 - dots - r_n-1 A_(r_1,dots,r_n) $
            – Steffen Plunder
            Jul 15 at 10:33






          • 2




            Yes, that's true. I gave the example on only one multi-index as I thought that this would explain at lest how the multi-index notation works. As I said, I don't really know were that formula comes from but in a more general manner the sum has to be taken on all the possible multi-indices with absolute value of $6$. I'll edit the post to integrate your detail!
            – Davide Morgante
            Jul 15 at 10:43










          • Thanks for the edit!
            – Steffen Plunder
            Jul 15 at 11:06










          • Thank you for the correction @SteffenPlunder :)
            – Davide Morgante
            Jul 15 at 11:06















          Thank you very much!
          – Ilqur
          Jul 15 at 10:32




          Thank you very much!
          – Ilqur
          Jul 15 at 10:32












          In the example with $B_i$, after the second equality sign, you miss out all the other possible multi-indices which have absolute value $6$. Maybe it would be good to explain $sum_ < k A_bar r= sum_r_1=0^k sum_r_2=0^k-r_1 dots sum_r_n=0^k-r_1 - dots - r_n-1 A_(r_1,dots,r_n) $
          – Steffen Plunder
          Jul 15 at 10:33




          In the example with $B_i$, after the second equality sign, you miss out all the other possible multi-indices which have absolute value $6$. Maybe it would be good to explain $sum_ < k A_bar r= sum_r_1=0^k sum_r_2=0^k-r_1 dots sum_r_n=0^k-r_1 - dots - r_n-1 A_(r_1,dots,r_n) $
          – Steffen Plunder
          Jul 15 at 10:33




          2




          2




          Yes, that's true. I gave the example on only one multi-index as I thought that this would explain at lest how the multi-index notation works. As I said, I don't really know were that formula comes from but in a more general manner the sum has to be taken on all the possible multi-indices with absolute value of $6$. I'll edit the post to integrate your detail!
          – Davide Morgante
          Jul 15 at 10:43




          Yes, that's true. I gave the example on only one multi-index as I thought that this would explain at lest how the multi-index notation works. As I said, I don't really know were that formula comes from but in a more general manner the sum has to be taken on all the possible multi-indices with absolute value of $6$. I'll edit the post to integrate your detail!
          – Davide Morgante
          Jul 15 at 10:43












          Thanks for the edit!
          – Steffen Plunder
          Jul 15 at 11:06




          Thanks for the edit!
          – Steffen Plunder
          Jul 15 at 11:06












          Thank you for the correction @SteffenPlunder :)
          – Davide Morgante
          Jul 15 at 11:06




          Thank you for the correction @SteffenPlunder :)
          – Davide Morgante
          Jul 15 at 11:06












           

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