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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
$begingroup$
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.
binomial-coefficients binomial-theorem binomial-distribution
New contributor
$endgroup$
add a comment |
$begingroup$
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.
binomial-coefficients binomial-theorem binomial-distribution
New contributor
$endgroup$
$begingroup$
Short answer: commutativity (and I guess associativity) of multiplication
$endgroup$
– Brevan Ellefsen
6 hours ago
add a comment |
$begingroup$
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.
binomial-coefficients binomial-theorem binomial-distribution
New contributor
$endgroup$
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
binomial-coefficients binomial-theorem binomial-distribution
New contributor
New contributor
edited 7 hours ago
Blue
48.5k870154
48.5k870154
New contributor
asked 7 hours ago
JorJor
111
111
New contributor
New contributor
$begingroup$
Short answer: commutativity (and I guess associativity) of multiplication
$endgroup$
– Brevan Ellefsen
6 hours ago
add a comment |
$begingroup$
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
add a comment |
2 Answers
2
active
oldest
votes
$begingroup$
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.
$endgroup$
add a comment |
$begingroup$
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.
$endgroup$
add a comment |
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2 Answers
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2 Answers
2
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$begingroup$
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.
$endgroup$
add a comment |
$begingroup$
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.
$endgroup$
add a comment |
$begingroup$
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.
$endgroup$
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.
edited 7 hours ago
answered 7 hours ago
Eevee TrainerEevee Trainer
6,53811237
6,53811237
add a comment |
add a comment |
$begingroup$
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.
$endgroup$
add a comment |
$begingroup$
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.
$endgroup$
add a comment |
$begingroup$
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.
$endgroup$
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.
edited 6 hours ago
answered 6 hours ago
AlessioDVAlessioDV
31412
31412
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$begingroup$
Short answer: commutativity (and I guess associativity) of multiplication
$endgroup$
– Brevan Ellefsen
6 hours ago