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Exploding Numbers



Why does the Binomial Theorem use combinations and not permutations for its coefficients?


How do I determine the possible number of combinations of two ordered sets?Binomial Coefficients in the Binomial Theorem - Why Does It Work QuestionHelp with binomial coefficients using binomial theoremHow do we express binomial coefficients as linear expressions?Find a binomial coefficient equal to ${nchoose k} + 3 {nchoose k-1} + 3{n choose k-2} + {nchoose k-3}$Intuitive explanation of extended binomial coefficientWhy does the binomial theorem for negative numbers never terminateSuming combinations in binomial theorempermutations with repeating symbols and binomial coefficientThe number of ways in which $n$ distinct items can be divided among $r$ groups













2












$begingroup$


I have been trying to understand the Binomial Theorem formula. I can see that it works.



What I don’t understand is how or why using combinations finds the coefficients.




What I mean is, isn’t each coefficient actually a permutation?




In the sense, that a combination isn’t concerned with the order. Yet the coefficient seems to reflect the ways a selection of items can be ordered.



It seems like a contradiction.



A simple explanation would be greatly appreciated. As I am not a mathematician.



Many thanks.










share|cite|improve this question









New contributor




Jor is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.







$endgroup$












  • $begingroup$
    Short answer: commutativity (and I guess associativity) of multiplication
    $endgroup$
    – Brevan Ellefsen
    6 hours ago
















2












$begingroup$


I have been trying to understand the Binomial Theorem formula. I can see that it works.



What I don’t understand is how or why using combinations finds the coefficients.




What I mean is, isn’t each coefficient actually a permutation?




In the sense, that a combination isn’t concerned with the order. Yet the coefficient seems to reflect the ways a selection of items can be ordered.



It seems like a contradiction.



A simple explanation would be greatly appreciated. As I am not a mathematician.



Many thanks.










share|cite|improve this question









New contributor




Jor is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.







$endgroup$












  • $begingroup$
    Short answer: commutativity (and I guess associativity) of multiplication
    $endgroup$
    – Brevan Ellefsen
    6 hours ago














2












2








2


2



$begingroup$


I have been trying to understand the Binomial Theorem formula. I can see that it works.



What I don’t understand is how or why using combinations finds the coefficients.




What I mean is, isn’t each coefficient actually a permutation?




In the sense, that a combination isn’t concerned with the order. Yet the coefficient seems to reflect the ways a selection of items can be ordered.



It seems like a contradiction.



A simple explanation would be greatly appreciated. As I am not a mathematician.



Many thanks.










share|cite|improve this question









New contributor




Jor is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.







$endgroup$




I have been trying to understand the Binomial Theorem formula. I can see that it works.



What I don’t understand is how or why using combinations finds the coefficients.




What I mean is, isn’t each coefficient actually a permutation?




In the sense, that a combination isn’t concerned with the order. Yet the coefficient seems to reflect the ways a selection of items can be ordered.



It seems like a contradiction.



A simple explanation would be greatly appreciated. As I am not a mathematician.



Many thanks.







binomial-coefficients binomial-theorem binomial-distribution






share|cite|improve this question









New contributor




Jor is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.











share|cite|improve this question









New contributor




Jor is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.









share|cite|improve this question




share|cite|improve this question








edited 7 hours ago









Blue

48.5k870154




48.5k870154






New contributor




Jor is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.









asked 7 hours ago









JorJor

111




111




New contributor




Jor is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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New contributor





Jor is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.






Jor is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.












  • $begingroup$
    Short answer: commutativity (and I guess associativity) of multiplication
    $endgroup$
    – Brevan Ellefsen
    6 hours ago


















  • $begingroup$
    Short answer: commutativity (and I guess associativity) of multiplication
    $endgroup$
    – Brevan Ellefsen
    6 hours ago
















$begingroup$
Short answer: commutativity (and I guess associativity) of multiplication
$endgroup$
– Brevan Ellefsen
6 hours ago




$begingroup$
Short answer: commutativity (and I guess associativity) of multiplication
$endgroup$
– Brevan Ellefsen
6 hours ago










2 Answers
2






active

oldest

votes


















7












$begingroup$

The reason combinations come in can be seen in using a special example. The same logic applies in the general case but it becomes murkier through the abstraction.



Consider



$$(a+b)^3$$



If we were to multiply this out, and not group terms according to multiplication rules (for example, let $a^3$ remain as $aaa$ for the sake of our exercise), we see



$$(a+b)^3 = aaa + aab + aba + baa + abb + bab + bba + bbb$$



Notice that we can characterize the sum this way:



$$(a+b)^3 = (text{terms with 3 a's}) + (text{terms with 2 a's}) + (text{terms with 1 a}) + (text{terms with no a's})$$



(You can also do the same for $b$, the approach is equivalent.) Well, we see from our weird expansion that we have every possible sequence of length $3$ made up of only $a$'s and $b$'s. We also know some of these terms are going to group together, as, for example, $aba = aab = baa$.



So how many summands are actually equal? Well, since they all have the same length, two summands are equal if and only if they have the same number of $a$'s (or $b$'s, same thing). And we also know that every possible sequence of length $3$ and only $a$'s and $b$'s are here.



So we can conclude that



$$begin{align}
(text{# of terms with 3 a's}) &= binom{3}{3} = 1\
(text{# of terms with 2 a's}) &= binom{3}{2} = 3\
(text{# of terms with 1 a}) &= binom{3}{1} = 3\
(text{# of terms with no a's}) &= binom{3}{0} = 1
end{align}$$



Thus, we conclude:




  • There will only be one $aaa = a^3$ term

  • There will be $3$ $aba=aab=baa=a^2b$ terms.

  • There will be $3$ $abb = bab = abb = ab^2$ terms.

  • There will be $1$ $bbb=b^3$ term.


Thus,



$$(a+b)^3 = sum_{k=0}^3 binom{3}{k}a^k b^{3-k}$$



and in general, for positive integers $n$,



$$(a+b)^n = sum_{k=0}^n binom{n}{k}a^k b^{n-k}$$





In short, the reason we use combinations is because the order does not matter, because we will get terms like $aab, baa, bab$ which are all equal in the expansion. Since multiplication is a commutative operation over the real numbers, then, we can say they're equal. Thus, the number of terms of that "type" (characterized by how many $a$'s or $b$'s they have) is given precisely by the number of sequences of length $n$ ($n=3$ in our example), made of only $a$ and $b$, that has exactly $k$ $a$'s (or $b$'s).



Of course this all relies on the central premise that multiplication commutes in the reals and thus ensures that the order of the factors does not matter. That suggests that it does not always hold in situations where multiplication does not commute - for example, the multiplication of a type of numbers known as quaternions is not commutative, and thus the binomial theorem does not hold there as it does here (since there $ab$ need not equal $ba$).



The nature of this commutativity, or the lack of it, and the consequences of each is better divulged in a discussion on abstract algebra, and this tangent is long enough as it is.






share|cite|improve this answer











$endgroup$





















    0












    $begingroup$

    My way of seeing the binomial formula is the following. Suppose you want to compute
    $$
    (a+b)^n
    $$

    for some $ngeq 1$. Look at it in this way:
    $$
    underbrace{(a+b)cdot (a+b) cdot ldots cdot (a+b)}_{n text{terms}},
    $$

    with exactly $n$ multiplications. How do you obtain the result? Pick one term between $a$ or $b$ from each factor and multiply them together. So the result contains terms of the form $a^kb^{n-k}$ for $k=0,,ldots,n$: this means that you picked $k$ times $a$ and $n-k$ times $b$. How many choices do you have? You have $n$ "different" $a$'s and you have to count the number of ways to select $k$ of them. The order does not matter: this means that if you selected the same $a$'s in a different order, the would give exactly the same term in the result, thus you don't want to count them twice. This is why for each $k$ you have exactly $binom{n}{k}$ choices.






    share|cite|improve this answer











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      2 Answers
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      active

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      2 Answers
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      7












      $begingroup$

      The reason combinations come in can be seen in using a special example. The same logic applies in the general case but it becomes murkier through the abstraction.



      Consider



      $$(a+b)^3$$



      If we were to multiply this out, and not group terms according to multiplication rules (for example, let $a^3$ remain as $aaa$ for the sake of our exercise), we see



      $$(a+b)^3 = aaa + aab + aba + baa + abb + bab + bba + bbb$$



      Notice that we can characterize the sum this way:



      $$(a+b)^3 = (text{terms with 3 a's}) + (text{terms with 2 a's}) + (text{terms with 1 a}) + (text{terms with no a's})$$



      (You can also do the same for $b$, the approach is equivalent.) Well, we see from our weird expansion that we have every possible sequence of length $3$ made up of only $a$'s and $b$'s. We also know some of these terms are going to group together, as, for example, $aba = aab = baa$.



      So how many summands are actually equal? Well, since they all have the same length, two summands are equal if and only if they have the same number of $a$'s (or $b$'s, same thing). And we also know that every possible sequence of length $3$ and only $a$'s and $b$'s are here.



      So we can conclude that



      $$begin{align}
      (text{# of terms with 3 a's}) &= binom{3}{3} = 1\
      (text{# of terms with 2 a's}) &= binom{3}{2} = 3\
      (text{# of terms with 1 a}) &= binom{3}{1} = 3\
      (text{# of terms with no a's}) &= binom{3}{0} = 1
      end{align}$$



      Thus, we conclude:




      • There will only be one $aaa = a^3$ term

      • There will be $3$ $aba=aab=baa=a^2b$ terms.

      • There will be $3$ $abb = bab = abb = ab^2$ terms.

      • There will be $1$ $bbb=b^3$ term.


      Thus,



      $$(a+b)^3 = sum_{k=0}^3 binom{3}{k}a^k b^{3-k}$$



      and in general, for positive integers $n$,



      $$(a+b)^n = sum_{k=0}^n binom{n}{k}a^k b^{n-k}$$





      In short, the reason we use combinations is because the order does not matter, because we will get terms like $aab, baa, bab$ which are all equal in the expansion. Since multiplication is a commutative operation over the real numbers, then, we can say they're equal. Thus, the number of terms of that "type" (characterized by how many $a$'s or $b$'s they have) is given precisely by the number of sequences of length $n$ ($n=3$ in our example), made of only $a$ and $b$, that has exactly $k$ $a$'s (or $b$'s).



      Of course this all relies on the central premise that multiplication commutes in the reals and thus ensures that the order of the factors does not matter. That suggests that it does not always hold in situations where multiplication does not commute - for example, the multiplication of a type of numbers known as quaternions is not commutative, and thus the binomial theorem does not hold there as it does here (since there $ab$ need not equal $ba$).



      The nature of this commutativity, or the lack of it, and the consequences of each is better divulged in a discussion on abstract algebra, and this tangent is long enough as it is.






      share|cite|improve this answer











      $endgroup$


















        7












        $begingroup$

        The reason combinations come in can be seen in using a special example. The same logic applies in the general case but it becomes murkier through the abstraction.



        Consider



        $$(a+b)^3$$



        If we were to multiply this out, and not group terms according to multiplication rules (for example, let $a^3$ remain as $aaa$ for the sake of our exercise), we see



        $$(a+b)^3 = aaa + aab + aba + baa + abb + bab + bba + bbb$$



        Notice that we can characterize the sum this way:



        $$(a+b)^3 = (text{terms with 3 a's}) + (text{terms with 2 a's}) + (text{terms with 1 a}) + (text{terms with no a's})$$



        (You can also do the same for $b$, the approach is equivalent.) Well, we see from our weird expansion that we have every possible sequence of length $3$ made up of only $a$'s and $b$'s. We also know some of these terms are going to group together, as, for example, $aba = aab = baa$.



        So how many summands are actually equal? Well, since they all have the same length, two summands are equal if and only if they have the same number of $a$'s (or $b$'s, same thing). And we also know that every possible sequence of length $3$ and only $a$'s and $b$'s are here.



        So we can conclude that



        $$begin{align}
        (text{# of terms with 3 a's}) &= binom{3}{3} = 1\
        (text{# of terms with 2 a's}) &= binom{3}{2} = 3\
        (text{# of terms with 1 a}) &= binom{3}{1} = 3\
        (text{# of terms with no a's}) &= binom{3}{0} = 1
        end{align}$$



        Thus, we conclude:




        • There will only be one $aaa = a^3$ term

        • There will be $3$ $aba=aab=baa=a^2b$ terms.

        • There will be $3$ $abb = bab = abb = ab^2$ terms.

        • There will be $1$ $bbb=b^3$ term.


        Thus,



        $$(a+b)^3 = sum_{k=0}^3 binom{3}{k}a^k b^{3-k}$$



        and in general, for positive integers $n$,



        $$(a+b)^n = sum_{k=0}^n binom{n}{k}a^k b^{n-k}$$





        In short, the reason we use combinations is because the order does not matter, because we will get terms like $aab, baa, bab$ which are all equal in the expansion. Since multiplication is a commutative operation over the real numbers, then, we can say they're equal. Thus, the number of terms of that "type" (characterized by how many $a$'s or $b$'s they have) is given precisely by the number of sequences of length $n$ ($n=3$ in our example), made of only $a$ and $b$, that has exactly $k$ $a$'s (or $b$'s).



        Of course this all relies on the central premise that multiplication commutes in the reals and thus ensures that the order of the factors does not matter. That suggests that it does not always hold in situations where multiplication does not commute - for example, the multiplication of a type of numbers known as quaternions is not commutative, and thus the binomial theorem does not hold there as it does here (since there $ab$ need not equal $ba$).



        The nature of this commutativity, or the lack of it, and the consequences of each is better divulged in a discussion on abstract algebra, and this tangent is long enough as it is.






        share|cite|improve this answer











        $endgroup$
















          7












          7








          7





          $begingroup$

          The reason combinations come in can be seen in using a special example. The same logic applies in the general case but it becomes murkier through the abstraction.



          Consider



          $$(a+b)^3$$



          If we were to multiply this out, and not group terms according to multiplication rules (for example, let $a^3$ remain as $aaa$ for the sake of our exercise), we see



          $$(a+b)^3 = aaa + aab + aba + baa + abb + bab + bba + bbb$$



          Notice that we can characterize the sum this way:



          $$(a+b)^3 = (text{terms with 3 a's}) + (text{terms with 2 a's}) + (text{terms with 1 a}) + (text{terms with no a's})$$



          (You can also do the same for $b$, the approach is equivalent.) Well, we see from our weird expansion that we have every possible sequence of length $3$ made up of only $a$'s and $b$'s. We also know some of these terms are going to group together, as, for example, $aba = aab = baa$.



          So how many summands are actually equal? Well, since they all have the same length, two summands are equal if and only if they have the same number of $a$'s (or $b$'s, same thing). And we also know that every possible sequence of length $3$ and only $a$'s and $b$'s are here.



          So we can conclude that



          $$begin{align}
          (text{# of terms with 3 a's}) &= binom{3}{3} = 1\
          (text{# of terms with 2 a's}) &= binom{3}{2} = 3\
          (text{# of terms with 1 a}) &= binom{3}{1} = 3\
          (text{# of terms with no a's}) &= binom{3}{0} = 1
          end{align}$$



          Thus, we conclude:




          • There will only be one $aaa = a^3$ term

          • There will be $3$ $aba=aab=baa=a^2b$ terms.

          • There will be $3$ $abb = bab = abb = ab^2$ terms.

          • There will be $1$ $bbb=b^3$ term.


          Thus,



          $$(a+b)^3 = sum_{k=0}^3 binom{3}{k}a^k b^{3-k}$$



          and in general, for positive integers $n$,



          $$(a+b)^n = sum_{k=0}^n binom{n}{k}a^k b^{n-k}$$





          In short, the reason we use combinations is because the order does not matter, because we will get terms like $aab, baa, bab$ which are all equal in the expansion. Since multiplication is a commutative operation over the real numbers, then, we can say they're equal. Thus, the number of terms of that "type" (characterized by how many $a$'s or $b$'s they have) is given precisely by the number of sequences of length $n$ ($n=3$ in our example), made of only $a$ and $b$, that has exactly $k$ $a$'s (or $b$'s).



          Of course this all relies on the central premise that multiplication commutes in the reals and thus ensures that the order of the factors does not matter. That suggests that it does not always hold in situations where multiplication does not commute - for example, the multiplication of a type of numbers known as quaternions is not commutative, and thus the binomial theorem does not hold there as it does here (since there $ab$ need not equal $ba$).



          The nature of this commutativity, or the lack of it, and the consequences of each is better divulged in a discussion on abstract algebra, and this tangent is long enough as it is.






          share|cite|improve this answer











          $endgroup$



          The reason combinations come in can be seen in using a special example. The same logic applies in the general case but it becomes murkier through the abstraction.



          Consider



          $$(a+b)^3$$



          If we were to multiply this out, and not group terms according to multiplication rules (for example, let $a^3$ remain as $aaa$ for the sake of our exercise), we see



          $$(a+b)^3 = aaa + aab + aba + baa + abb + bab + bba + bbb$$



          Notice that we can characterize the sum this way:



          $$(a+b)^3 = (text{terms with 3 a's}) + (text{terms with 2 a's}) + (text{terms with 1 a}) + (text{terms with no a's})$$



          (You can also do the same for $b$, the approach is equivalent.) Well, we see from our weird expansion that we have every possible sequence of length $3$ made up of only $a$'s and $b$'s. We also know some of these terms are going to group together, as, for example, $aba = aab = baa$.



          So how many summands are actually equal? Well, since they all have the same length, two summands are equal if and only if they have the same number of $a$'s (or $b$'s, same thing). And we also know that every possible sequence of length $3$ and only $a$'s and $b$'s are here.



          So we can conclude that



          $$begin{align}
          (text{# of terms with 3 a's}) &= binom{3}{3} = 1\
          (text{# of terms with 2 a's}) &= binom{3}{2} = 3\
          (text{# of terms with 1 a}) &= binom{3}{1} = 3\
          (text{# of terms with no a's}) &= binom{3}{0} = 1
          end{align}$$



          Thus, we conclude:




          • There will only be one $aaa = a^3$ term

          • There will be $3$ $aba=aab=baa=a^2b$ terms.

          • There will be $3$ $abb = bab = abb = ab^2$ terms.

          • There will be $1$ $bbb=b^3$ term.


          Thus,



          $$(a+b)^3 = sum_{k=0}^3 binom{3}{k}a^k b^{3-k}$$



          and in general, for positive integers $n$,



          $$(a+b)^n = sum_{k=0}^n binom{n}{k}a^k b^{n-k}$$





          In short, the reason we use combinations is because the order does not matter, because we will get terms like $aab, baa, bab$ which are all equal in the expansion. Since multiplication is a commutative operation over the real numbers, then, we can say they're equal. Thus, the number of terms of that "type" (characterized by how many $a$'s or $b$'s they have) is given precisely by the number of sequences of length $n$ ($n=3$ in our example), made of only $a$ and $b$, that has exactly $k$ $a$'s (or $b$'s).



          Of course this all relies on the central premise that multiplication commutes in the reals and thus ensures that the order of the factors does not matter. That suggests that it does not always hold in situations where multiplication does not commute - for example, the multiplication of a type of numbers known as quaternions is not commutative, and thus the binomial theorem does not hold there as it does here (since there $ab$ need not equal $ba$).



          The nature of this commutativity, or the lack of it, and the consequences of each is better divulged in a discussion on abstract algebra, and this tangent is long enough as it is.







          share|cite|improve this answer














          share|cite|improve this answer



          share|cite|improve this answer








          edited 7 hours ago

























          answered 7 hours ago









          Eevee TrainerEevee Trainer

          6,53811237




          6,53811237























              0












              $begingroup$

              My way of seeing the binomial formula is the following. Suppose you want to compute
              $$
              (a+b)^n
              $$

              for some $ngeq 1$. Look at it in this way:
              $$
              underbrace{(a+b)cdot (a+b) cdot ldots cdot (a+b)}_{n text{terms}},
              $$

              with exactly $n$ multiplications. How do you obtain the result? Pick one term between $a$ or $b$ from each factor and multiply them together. So the result contains terms of the form $a^kb^{n-k}$ for $k=0,,ldots,n$: this means that you picked $k$ times $a$ and $n-k$ times $b$. How many choices do you have? You have $n$ "different" $a$'s and you have to count the number of ways to select $k$ of them. The order does not matter: this means that if you selected the same $a$'s in a different order, the would give exactly the same term in the result, thus you don't want to count them twice. This is why for each $k$ you have exactly $binom{n}{k}$ choices.






              share|cite|improve this answer











              $endgroup$


















                0












                $begingroup$

                My way of seeing the binomial formula is the following. Suppose you want to compute
                $$
                (a+b)^n
                $$

                for some $ngeq 1$. Look at it in this way:
                $$
                underbrace{(a+b)cdot (a+b) cdot ldots cdot (a+b)}_{n text{terms}},
                $$

                with exactly $n$ multiplications. How do you obtain the result? Pick one term between $a$ or $b$ from each factor and multiply them together. So the result contains terms of the form $a^kb^{n-k}$ for $k=0,,ldots,n$: this means that you picked $k$ times $a$ and $n-k$ times $b$. How many choices do you have? You have $n$ "different" $a$'s and you have to count the number of ways to select $k$ of them. The order does not matter: this means that if you selected the same $a$'s in a different order, the would give exactly the same term in the result, thus you don't want to count them twice. This is why for each $k$ you have exactly $binom{n}{k}$ choices.






                share|cite|improve this answer











                $endgroup$
















                  0












                  0








                  0





                  $begingroup$

                  My way of seeing the binomial formula is the following. Suppose you want to compute
                  $$
                  (a+b)^n
                  $$

                  for some $ngeq 1$. Look at it in this way:
                  $$
                  underbrace{(a+b)cdot (a+b) cdot ldots cdot (a+b)}_{n text{terms}},
                  $$

                  with exactly $n$ multiplications. How do you obtain the result? Pick one term between $a$ or $b$ from each factor and multiply them together. So the result contains terms of the form $a^kb^{n-k}$ for $k=0,,ldots,n$: this means that you picked $k$ times $a$ and $n-k$ times $b$. How many choices do you have? You have $n$ "different" $a$'s and you have to count the number of ways to select $k$ of them. The order does not matter: this means that if you selected the same $a$'s in a different order, the would give exactly the same term in the result, thus you don't want to count them twice. This is why for each $k$ you have exactly $binom{n}{k}$ choices.






                  share|cite|improve this answer











                  $endgroup$



                  My way of seeing the binomial formula is the following. Suppose you want to compute
                  $$
                  (a+b)^n
                  $$

                  for some $ngeq 1$. Look at it in this way:
                  $$
                  underbrace{(a+b)cdot (a+b) cdot ldots cdot (a+b)}_{n text{terms}},
                  $$

                  with exactly $n$ multiplications. How do you obtain the result? Pick one term between $a$ or $b$ from each factor and multiply them together. So the result contains terms of the form $a^kb^{n-k}$ for $k=0,,ldots,n$: this means that you picked $k$ times $a$ and $n-k$ times $b$. How many choices do you have? You have $n$ "different" $a$'s and you have to count the number of ways to select $k$ of them. The order does not matter: this means that if you selected the same $a$'s in a different order, the would give exactly the same term in the result, thus you don't want to count them twice. This is why for each $k$ you have exactly $binom{n}{k}$ choices.







                  share|cite|improve this answer














                  share|cite|improve this answer



                  share|cite|improve this answer








                  edited 6 hours ago

























                  answered 6 hours ago









                  AlessioDVAlessioDV

                  31412




                  31412






















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