Why, historically, do we multiply matrices as we do?
Clash Royale CLAN TAG#URR8PPP
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Multiplication of matrices â taking the dot product of the $i$th row of the first matrix and the $j$th column of the second to yield the $ij$th entry of the product â is not a very intuitive operation: if you were to ask someone how to mutliply two matrices, he probably would not think of that method. Of course, it turns out to be very useful: matrix multiplication is precisely the operation that represents composition of transformations. But it's not intuitive. So my question is where it came from. Who thought of multiplying matrices in that way, and why? (Was it perhaps multiplication of a matrix and a vector first? If so, who thought of multiplying them in that way, and why?) My question is intact no matter whether matrix multiplication was done this way only after it was used as representation of composition of transformations, or whether, on the contrary, matrix multiplication came first. (Again, I'm not asking about the utility of multiplying matrices as we do: this is clear to me. I'm asking a question about history.)
linear-algebra matrices math-history
add a comment |Â
up vote
70
down vote
favorite
Multiplication of matrices â taking the dot product of the $i$th row of the first matrix and the $j$th column of the second to yield the $ij$th entry of the product â is not a very intuitive operation: if you were to ask someone how to mutliply two matrices, he probably would not think of that method. Of course, it turns out to be very useful: matrix multiplication is precisely the operation that represents composition of transformations. But it's not intuitive. So my question is where it came from. Who thought of multiplying matrices in that way, and why? (Was it perhaps multiplication of a matrix and a vector first? If so, who thought of multiplying them in that way, and why?) My question is intact no matter whether matrix multiplication was done this way only after it was used as representation of composition of transformations, or whether, on the contrary, matrix multiplication came first. (Again, I'm not asking about the utility of multiplying matrices as we do: this is clear to me. I'm asking a question about history.)
linear-algebra matrices math-history
As to the last, matrix multiplication definitely came first (centuries first), and I'm reasonably certain from a compact representation of systems of linear equations. Leibniz already had a determinant formula. As I have no historic sources for first use, this doesn't answer your question though.
â gnometorule
Jan 7 '13 at 4:19
Matrices are linear operators and have meaning only when it acts on vectors. Given matrices $A$ and $B$, what would we want the operator/matrix $BA$ to mean? Ideally, we would want $BA$ to mean the following. For all vectors $x$, we want $(BA)x = B(Ax)$ Once we have this i.e. $(BA)x = B(Ax)$ for all $x$, then we are forced to live with the way we currently multiply matrices. And as to why matrix-vector product is defined in the way it is, the primary reason for introducing matrices was to handle linear transformation in a notationally convenient way.
â user17762
Jan 7 '13 at 4:21
There is another question, of course, which is not so much why matrix multiplication was defined like this, but why it stuck - why this apparently curious definition took off, and didn't die the death of so many putative definitions. And that was because it proved mathematically fruitful.
â Mark Bennet
Jan 7 '13 at 8:47
1
Possible duplicate of math.stackexchange.com/questions/192835/â¦.
â lhf
Jun 2 '14 at 12:45
Why is it "not intuitive"? If you ask someone how to multiply two matrices and they think about what that multiplication is supposed to mean, they absolutely will come up with the usual definition.
â m_t_
Nov 30 '16 at 15:25
add a comment |Â
up vote
70
down vote
favorite
up vote
70
down vote
favorite
Multiplication of matrices â taking the dot product of the $i$th row of the first matrix and the $j$th column of the second to yield the $ij$th entry of the product â is not a very intuitive operation: if you were to ask someone how to mutliply two matrices, he probably would not think of that method. Of course, it turns out to be very useful: matrix multiplication is precisely the operation that represents composition of transformations. But it's not intuitive. So my question is where it came from. Who thought of multiplying matrices in that way, and why? (Was it perhaps multiplication of a matrix and a vector first? If so, who thought of multiplying them in that way, and why?) My question is intact no matter whether matrix multiplication was done this way only after it was used as representation of composition of transformations, or whether, on the contrary, matrix multiplication came first. (Again, I'm not asking about the utility of multiplying matrices as we do: this is clear to me. I'm asking a question about history.)
linear-algebra matrices math-history
Multiplication of matrices â taking the dot product of the $i$th row of the first matrix and the $j$th column of the second to yield the $ij$th entry of the product â is not a very intuitive operation: if you were to ask someone how to mutliply two matrices, he probably would not think of that method. Of course, it turns out to be very useful: matrix multiplication is precisely the operation that represents composition of transformations. But it's not intuitive. So my question is where it came from. Who thought of multiplying matrices in that way, and why? (Was it perhaps multiplication of a matrix and a vector first? If so, who thought of multiplying them in that way, and why?) My question is intact no matter whether matrix multiplication was done this way only after it was used as representation of composition of transformations, or whether, on the contrary, matrix multiplication came first. (Again, I'm not asking about the utility of multiplying matrices as we do: this is clear to me. I'm asking a question about history.)
linear-algebra matrices math-history
linear-algebra matrices math-history
edited Jan 7 '13 at 4:47
asked Jan 7 '13 at 4:12
msh210
1,96311431
1,96311431
As to the last, matrix multiplication definitely came first (centuries first), and I'm reasonably certain from a compact representation of systems of linear equations. Leibniz already had a determinant formula. As I have no historic sources for first use, this doesn't answer your question though.
â gnometorule
Jan 7 '13 at 4:19
Matrices are linear operators and have meaning only when it acts on vectors. Given matrices $A$ and $B$, what would we want the operator/matrix $BA$ to mean? Ideally, we would want $BA$ to mean the following. For all vectors $x$, we want $(BA)x = B(Ax)$ Once we have this i.e. $(BA)x = B(Ax)$ for all $x$, then we are forced to live with the way we currently multiply matrices. And as to why matrix-vector product is defined in the way it is, the primary reason for introducing matrices was to handle linear transformation in a notationally convenient way.
â user17762
Jan 7 '13 at 4:21
There is another question, of course, which is not so much why matrix multiplication was defined like this, but why it stuck - why this apparently curious definition took off, and didn't die the death of so many putative definitions. And that was because it proved mathematically fruitful.
â Mark Bennet
Jan 7 '13 at 8:47
1
Possible duplicate of math.stackexchange.com/questions/192835/â¦.
â lhf
Jun 2 '14 at 12:45
Why is it "not intuitive"? If you ask someone how to multiply two matrices and they think about what that multiplication is supposed to mean, they absolutely will come up with the usual definition.
â m_t_
Nov 30 '16 at 15:25
add a comment |Â
As to the last, matrix multiplication definitely came first (centuries first), and I'm reasonably certain from a compact representation of systems of linear equations. Leibniz already had a determinant formula. As I have no historic sources for first use, this doesn't answer your question though.
â gnometorule
Jan 7 '13 at 4:19
Matrices are linear operators and have meaning only when it acts on vectors. Given matrices $A$ and $B$, what would we want the operator/matrix $BA$ to mean? Ideally, we would want $BA$ to mean the following. For all vectors $x$, we want $(BA)x = B(Ax)$ Once we have this i.e. $(BA)x = B(Ax)$ for all $x$, then we are forced to live with the way we currently multiply matrices. And as to why matrix-vector product is defined in the way it is, the primary reason for introducing matrices was to handle linear transformation in a notationally convenient way.
â user17762
Jan 7 '13 at 4:21
There is another question, of course, which is not so much why matrix multiplication was defined like this, but why it stuck - why this apparently curious definition took off, and didn't die the death of so many putative definitions. And that was because it proved mathematically fruitful.
â Mark Bennet
Jan 7 '13 at 8:47
1
Possible duplicate of math.stackexchange.com/questions/192835/â¦.
â lhf
Jun 2 '14 at 12:45
Why is it "not intuitive"? If you ask someone how to multiply two matrices and they think about what that multiplication is supposed to mean, they absolutely will come up with the usual definition.
â m_t_
Nov 30 '16 at 15:25
As to the last, matrix multiplication definitely came first (centuries first), and I'm reasonably certain from a compact representation of systems of linear equations. Leibniz already had a determinant formula. As I have no historic sources for first use, this doesn't answer your question though.
â gnometorule
Jan 7 '13 at 4:19
As to the last, matrix multiplication definitely came first (centuries first), and I'm reasonably certain from a compact representation of systems of linear equations. Leibniz already had a determinant formula. As I have no historic sources for first use, this doesn't answer your question though.
â gnometorule
Jan 7 '13 at 4:19
Matrices are linear operators and have meaning only when it acts on vectors. Given matrices $A$ and $B$, what would we want the operator/matrix $BA$ to mean? Ideally, we would want $BA$ to mean the following. For all vectors $x$, we want $(BA)x = B(Ax)$ Once we have this i.e. $(BA)x = B(Ax)$ for all $x$, then we are forced to live with the way we currently multiply matrices. And as to why matrix-vector product is defined in the way it is, the primary reason for introducing matrices was to handle linear transformation in a notationally convenient way.
â user17762
Jan 7 '13 at 4:21
Matrices are linear operators and have meaning only when it acts on vectors. Given matrices $A$ and $B$, what would we want the operator/matrix $BA$ to mean? Ideally, we would want $BA$ to mean the following. For all vectors $x$, we want $(BA)x = B(Ax)$ Once we have this i.e. $(BA)x = B(Ax)$ for all $x$, then we are forced to live with the way we currently multiply matrices. And as to why matrix-vector product is defined in the way it is, the primary reason for introducing matrices was to handle linear transformation in a notationally convenient way.
â user17762
Jan 7 '13 at 4:21
There is another question, of course, which is not so much why matrix multiplication was defined like this, but why it stuck - why this apparently curious definition took off, and didn't die the death of so many putative definitions. And that was because it proved mathematically fruitful.
â Mark Bennet
Jan 7 '13 at 8:47
There is another question, of course, which is not so much why matrix multiplication was defined like this, but why it stuck - why this apparently curious definition took off, and didn't die the death of so many putative definitions. And that was because it proved mathematically fruitful.
â Mark Bennet
Jan 7 '13 at 8:47
1
1
Possible duplicate of math.stackexchange.com/questions/192835/â¦.
â lhf
Jun 2 '14 at 12:45
Possible duplicate of math.stackexchange.com/questions/192835/â¦.
â lhf
Jun 2 '14 at 12:45
Why is it "not intuitive"? If you ask someone how to multiply two matrices and they think about what that multiplication is supposed to mean, they absolutely will come up with the usual definition.
â m_t_
Nov 30 '16 at 15:25
Why is it "not intuitive"? If you ask someone how to multiply two matrices and they think about what that multiplication is supposed to mean, they absolutely will come up with the usual definition.
â m_t_
Nov 30 '16 at 15:25
add a comment |Â
3 Answers
3
active
oldest
votes
up vote
63
down vote
accepted
Matrix multiplication is a symbolic way of substituting one linear change of variables into another one. If $x' = ax + by$ and $y' = cx+dy$, and
$x'' = a'x' + b'y'$ and $y'' = c'x' + d'y'$ then we can plug the first pair of formulas into the second to express $x''$ and $y''$ in terms of $x$ and $y$:
$$
x'' = a'x' + b'y' = a'(ax + by) + b'(cx+dy) = (a'a + b'c)x + (a'b + b'd)y
$$
and
$$
y'' = c'x' + d'y' = c'(ax+by) + d'(cx+dy) = (c'a+d'c)x + (c'b+d'd)y.
$$
It can be tedious to keep writing the variables, so we use arrays to track the coefficients, with the formulas for $x'$ and $x''$ on the first row and for $y'$ and $y''$ on the second row. The above two linear substitutions coincide with the matrix product
$$
left(
beginarraycc
a'&b'\c'&d'
endarray
right)
left(
beginarraycc
a&b\c&d
endarray
right)
=
left(
beginarraycc
a'a+b'c&a'b+b'd\c'a+d'c&c'b+d'd
endarray
right).
$$
So matrix multiplication is just a bookkeeping device for systems of linear substitutions plugged into one another (order matters). The formulas are not intuitive, but it's nothing other than the simple idea of combining two linear changes of variables in succession.
Matrix multiplication was first defined explicitly in print by Cayley in 1858, in order to reflect the effect of composition of linear transformations. See paragraph 3 at http://darkwing.uoregon.edu/~vitulli/441.sp04/LinAlgHistory.html. However, the idea of tracking what happens to coefficients when one linear change of variables is substituted into another (which we view as matrix multiplication) goes back further. For instance, the work of number theorists in the early 19th century on binary quadratic forms $ax^2 + bxy + cy^2$ was full of linear changes of variables plugged into each other (especially linear changes of variable that we would recognize as coming from $rm SL_2(mathbf Z)$). For more on the background, see the paper by Thomas Hawkins on matrix theory in the 1974 ICM. Google "ICM 1974 Thomas Hawkins" and you'll find his paper among the top 3 hits.
add a comment |Â
up vote
26
down vote
Here is an answer directly reflecting the historical perspective from the paper Memoir on the theory of matrices By Authur Cayley, 1857. This paper is available here.
This paper is credited with "containing the first abstract definition of a matrix" and "a matrix algebra defining addition, multiplication, scalar multiplication and inverses" (source).
In this paper a nonstandard notation is used. I will do my best to place it in a more "modern" (but still nonstandard) notation. The bulk of the contents of this post will come from pages 20-21.
To introduce notation, $$ (X,Y,Z)= left( beginarrayccc
a & b & c \
a' & b' & c' \
a'' & b'' & c'' endarray right)(x,y,z)$$
will represent the set of linear functions $(ax + by + cz, a'z + b'y + c'z, a''z + b''y + c''z)$ which are then called $(X,Y,Z)$.
Cayley defines addition and scalar multiplication and then moves to matrix multiplication or "composition". He specifically wants to deal with the issue of:
$$(X,Y,Z)= left( beginarrayccc
a & b & c \
a' & b' & c' \
a'' & b'' & c'' endarray right)(x,y,z) quad textwhere quad (x,y,z)= left( beginarrayccc
alpha & beta & gamma \
alpha' & beta' & gamma' \
alpha'' & beta'' & gamma'' \ endarray right)(xi,eta,zeta)$$
He now wants to represent $(X,Y,Z)$ in terms of $(xi,eta,zeta)$. He does this by creating another matrix that satisfies the equation:
$$(X,Y,Z)= left( beginarrayccc
A & B & C \
A' & B' & C' \
A'' & B'' & C'' \ endarray right)(xi,eta,zeta)$$
He continues to write that the value we obtain is:
$$beginalignleft( beginarrayccc
A & B & C \
A' & B' & C' \
A'' & B'' & C'' \ endarray right) &= left( beginarrayccc
a & b & c \
a' & b' & c' \
a'' & b'' & c'' endarray right)left( beginarrayccc
alpha & beta & gamma \
alpha' & beta' & gamma' \
alpha'' & beta'' & gamma'' \ endarray right)\[.25cm] &= left( beginarrayccc
aalpha+balpha' + calpha'' & abeta+bbeta' + cbeta'' & agamma+bgamma' + cgamma'' \
a'alpha+b'alpha' + c'alpha'' & a'beta+b'beta' + c'beta'' & a'gamma+b'gamma' + c'gamma'' \
a''alpha+b''alpha' + c''alpha'' & a''beta+b''beta' + c''beta'' & a''gamma+b''gamma' + c''gamma''endarray right)endalign$$
This is the standard definition of matrix multiplication. I must believe that matrix multiplication was defined to deal with this specific problem. The paper continues to mention several properties of matrix multiplication such as non-commutativity, composition with unity and zero and exponentiation.
Here is the written rule of composition:
Any line of the compound matrix is obtained by combining the corresponding line of the first component matrix successively with the several columns of the second matrix (p. 21)
1
Should the set of linear functions $(ax + by + cz, a'z + b'y + c'z, a''z + b''y + c''z)$ be $(ax + by + cz, a'x + b'y + c'z, a''x + b''y + c''z)$?
â Vilhelm Gray
May 11 '17 at 18:11
Brad's is THE answer, I think. The eventual coefficients obtained from a double transformation of (x, y, z) require row elements of the left transform matrices to be multiplied by their corresponding column element of the right transform matrix. My own old idea was that if multiplication of a vector by a matrix is done like A (x, y, z) = (x', y', z'), i.e. using row vectors, then the resulting system will not "read" as clearly as if the (x, y, z) & (x', y', z') were written as a column vectors. And this is only for a 3-D system. Higher order systems harder still. But Brad's idea is dead-on.
â Trunk
Dec 28 '17 at 15:57
add a comment |Â
up vote
13
down vote
beginalign
u & = 3x + 7y \ v & = -2x + 11y \ \ \ \
p & =13u-20v \ q & = 2u+6v
endalign
Given $x$ and $y$, how do you find $p$ and $q$? How do you write:
beginalign
p & = bullet, x + bullet, y \ q & = bullet, x+bullet, yquadtext?
endalign
What numbers go where the four $bullet$'s are?
That is what matrix multiplication is. The rationale is mathematical, not historical.
add a comment |Â
3 Answers
3
active
oldest
votes
3 Answers
3
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
63
down vote
accepted
Matrix multiplication is a symbolic way of substituting one linear change of variables into another one. If $x' = ax + by$ and $y' = cx+dy$, and
$x'' = a'x' + b'y'$ and $y'' = c'x' + d'y'$ then we can plug the first pair of formulas into the second to express $x''$ and $y''$ in terms of $x$ and $y$:
$$
x'' = a'x' + b'y' = a'(ax + by) + b'(cx+dy) = (a'a + b'c)x + (a'b + b'd)y
$$
and
$$
y'' = c'x' + d'y' = c'(ax+by) + d'(cx+dy) = (c'a+d'c)x + (c'b+d'd)y.
$$
It can be tedious to keep writing the variables, so we use arrays to track the coefficients, with the formulas for $x'$ and $x''$ on the first row and for $y'$ and $y''$ on the second row. The above two linear substitutions coincide with the matrix product
$$
left(
beginarraycc
a'&b'\c'&d'
endarray
right)
left(
beginarraycc
a&b\c&d
endarray
right)
=
left(
beginarraycc
a'a+b'c&a'b+b'd\c'a+d'c&c'b+d'd
endarray
right).
$$
So matrix multiplication is just a bookkeeping device for systems of linear substitutions plugged into one another (order matters). The formulas are not intuitive, but it's nothing other than the simple idea of combining two linear changes of variables in succession.
Matrix multiplication was first defined explicitly in print by Cayley in 1858, in order to reflect the effect of composition of linear transformations. See paragraph 3 at http://darkwing.uoregon.edu/~vitulli/441.sp04/LinAlgHistory.html. However, the idea of tracking what happens to coefficients when one linear change of variables is substituted into another (which we view as matrix multiplication) goes back further. For instance, the work of number theorists in the early 19th century on binary quadratic forms $ax^2 + bxy + cy^2$ was full of linear changes of variables plugged into each other (especially linear changes of variable that we would recognize as coming from $rm SL_2(mathbf Z)$). For more on the background, see the paper by Thomas Hawkins on matrix theory in the 1974 ICM. Google "ICM 1974 Thomas Hawkins" and you'll find his paper among the top 3 hits.
add a comment |Â
up vote
63
down vote
accepted
Matrix multiplication is a symbolic way of substituting one linear change of variables into another one. If $x' = ax + by$ and $y' = cx+dy$, and
$x'' = a'x' + b'y'$ and $y'' = c'x' + d'y'$ then we can plug the first pair of formulas into the second to express $x''$ and $y''$ in terms of $x$ and $y$:
$$
x'' = a'x' + b'y' = a'(ax + by) + b'(cx+dy) = (a'a + b'c)x + (a'b + b'd)y
$$
and
$$
y'' = c'x' + d'y' = c'(ax+by) + d'(cx+dy) = (c'a+d'c)x + (c'b+d'd)y.
$$
It can be tedious to keep writing the variables, so we use arrays to track the coefficients, with the formulas for $x'$ and $x''$ on the first row and for $y'$ and $y''$ on the second row. The above two linear substitutions coincide with the matrix product
$$
left(
beginarraycc
a'&b'\c'&d'
endarray
right)
left(
beginarraycc
a&b\c&d
endarray
right)
=
left(
beginarraycc
a'a+b'c&a'b+b'd\c'a+d'c&c'b+d'd
endarray
right).
$$
So matrix multiplication is just a bookkeeping device for systems of linear substitutions plugged into one another (order matters). The formulas are not intuitive, but it's nothing other than the simple idea of combining two linear changes of variables in succession.
Matrix multiplication was first defined explicitly in print by Cayley in 1858, in order to reflect the effect of composition of linear transformations. See paragraph 3 at http://darkwing.uoregon.edu/~vitulli/441.sp04/LinAlgHistory.html. However, the idea of tracking what happens to coefficients when one linear change of variables is substituted into another (which we view as matrix multiplication) goes back further. For instance, the work of number theorists in the early 19th century on binary quadratic forms $ax^2 + bxy + cy^2$ was full of linear changes of variables plugged into each other (especially linear changes of variable that we would recognize as coming from $rm SL_2(mathbf Z)$). For more on the background, see the paper by Thomas Hawkins on matrix theory in the 1974 ICM. Google "ICM 1974 Thomas Hawkins" and you'll find his paper among the top 3 hits.
add a comment |Â
up vote
63
down vote
accepted
up vote
63
down vote
accepted
Matrix multiplication is a symbolic way of substituting one linear change of variables into another one. If $x' = ax + by$ and $y' = cx+dy$, and
$x'' = a'x' + b'y'$ and $y'' = c'x' + d'y'$ then we can plug the first pair of formulas into the second to express $x''$ and $y''$ in terms of $x$ and $y$:
$$
x'' = a'x' + b'y' = a'(ax + by) + b'(cx+dy) = (a'a + b'c)x + (a'b + b'd)y
$$
and
$$
y'' = c'x' + d'y' = c'(ax+by) + d'(cx+dy) = (c'a+d'c)x + (c'b+d'd)y.
$$
It can be tedious to keep writing the variables, so we use arrays to track the coefficients, with the formulas for $x'$ and $x''$ on the first row and for $y'$ and $y''$ on the second row. The above two linear substitutions coincide with the matrix product
$$
left(
beginarraycc
a'&b'\c'&d'
endarray
right)
left(
beginarraycc
a&b\c&d
endarray
right)
=
left(
beginarraycc
a'a+b'c&a'b+b'd\c'a+d'c&c'b+d'd
endarray
right).
$$
So matrix multiplication is just a bookkeeping device for systems of linear substitutions plugged into one another (order matters). The formulas are not intuitive, but it's nothing other than the simple idea of combining two linear changes of variables in succession.
Matrix multiplication was first defined explicitly in print by Cayley in 1858, in order to reflect the effect of composition of linear transformations. See paragraph 3 at http://darkwing.uoregon.edu/~vitulli/441.sp04/LinAlgHistory.html. However, the idea of tracking what happens to coefficients when one linear change of variables is substituted into another (which we view as matrix multiplication) goes back further. For instance, the work of number theorists in the early 19th century on binary quadratic forms $ax^2 + bxy + cy^2$ was full of linear changes of variables plugged into each other (especially linear changes of variable that we would recognize as coming from $rm SL_2(mathbf Z)$). For more on the background, see the paper by Thomas Hawkins on matrix theory in the 1974 ICM. Google "ICM 1974 Thomas Hawkins" and you'll find his paper among the top 3 hits.
Matrix multiplication is a symbolic way of substituting one linear change of variables into another one. If $x' = ax + by$ and $y' = cx+dy$, and
$x'' = a'x' + b'y'$ and $y'' = c'x' + d'y'$ then we can plug the first pair of formulas into the second to express $x''$ and $y''$ in terms of $x$ and $y$:
$$
x'' = a'x' + b'y' = a'(ax + by) + b'(cx+dy) = (a'a + b'c)x + (a'b + b'd)y
$$
and
$$
y'' = c'x' + d'y' = c'(ax+by) + d'(cx+dy) = (c'a+d'c)x + (c'b+d'd)y.
$$
It can be tedious to keep writing the variables, so we use arrays to track the coefficients, with the formulas for $x'$ and $x''$ on the first row and for $y'$ and $y''$ on the second row. The above two linear substitutions coincide with the matrix product
$$
left(
beginarraycc
a'&b'\c'&d'
endarray
right)
left(
beginarraycc
a&b\c&d
endarray
right)
=
left(
beginarraycc
a'a+b'c&a'b+b'd\c'a+d'c&c'b+d'd
endarray
right).
$$
So matrix multiplication is just a bookkeeping device for systems of linear substitutions plugged into one another (order matters). The formulas are not intuitive, but it's nothing other than the simple idea of combining two linear changes of variables in succession.
Matrix multiplication was first defined explicitly in print by Cayley in 1858, in order to reflect the effect of composition of linear transformations. See paragraph 3 at http://darkwing.uoregon.edu/~vitulli/441.sp04/LinAlgHistory.html. However, the idea of tracking what happens to coefficients when one linear change of variables is substituted into another (which we view as matrix multiplication) goes back further. For instance, the work of number theorists in the early 19th century on binary quadratic forms $ax^2 + bxy + cy^2$ was full of linear changes of variables plugged into each other (especially linear changes of variable that we would recognize as coming from $rm SL_2(mathbf Z)$). For more on the background, see the paper by Thomas Hawkins on matrix theory in the 1974 ICM. Google "ICM 1974 Thomas Hawkins" and you'll find his paper among the top 3 hits.
edited Jun 2 '16 at 18:26
msh210
1,96311431
1,96311431
answered Jan 7 '13 at 4:31
KCd
16.3k3872
16.3k3872
add a comment |Â
add a comment |Â
up vote
26
down vote
Here is an answer directly reflecting the historical perspective from the paper Memoir on the theory of matrices By Authur Cayley, 1857. This paper is available here.
This paper is credited with "containing the first abstract definition of a matrix" and "a matrix algebra defining addition, multiplication, scalar multiplication and inverses" (source).
In this paper a nonstandard notation is used. I will do my best to place it in a more "modern" (but still nonstandard) notation. The bulk of the contents of this post will come from pages 20-21.
To introduce notation, $$ (X,Y,Z)= left( beginarrayccc
a & b & c \
a' & b' & c' \
a'' & b'' & c'' endarray right)(x,y,z)$$
will represent the set of linear functions $(ax + by + cz, a'z + b'y + c'z, a''z + b''y + c''z)$ which are then called $(X,Y,Z)$.
Cayley defines addition and scalar multiplication and then moves to matrix multiplication or "composition". He specifically wants to deal with the issue of:
$$(X,Y,Z)= left( beginarrayccc
a & b & c \
a' & b' & c' \
a'' & b'' & c'' endarray right)(x,y,z) quad textwhere quad (x,y,z)= left( beginarrayccc
alpha & beta & gamma \
alpha' & beta' & gamma' \
alpha'' & beta'' & gamma'' \ endarray right)(xi,eta,zeta)$$
He now wants to represent $(X,Y,Z)$ in terms of $(xi,eta,zeta)$. He does this by creating another matrix that satisfies the equation:
$$(X,Y,Z)= left( beginarrayccc
A & B & C \
A' & B' & C' \
A'' & B'' & C'' \ endarray right)(xi,eta,zeta)$$
He continues to write that the value we obtain is:
$$beginalignleft( beginarrayccc
A & B & C \
A' & B' & C' \
A'' & B'' & C'' \ endarray right) &= left( beginarrayccc
a & b & c \
a' & b' & c' \
a'' & b'' & c'' endarray right)left( beginarrayccc
alpha & beta & gamma \
alpha' & beta' & gamma' \
alpha'' & beta'' & gamma'' \ endarray right)\[.25cm] &= left( beginarrayccc
aalpha+balpha' + calpha'' & abeta+bbeta' + cbeta'' & agamma+bgamma' + cgamma'' \
a'alpha+b'alpha' + c'alpha'' & a'beta+b'beta' + c'beta'' & a'gamma+b'gamma' + c'gamma'' \
a''alpha+b''alpha' + c''alpha'' & a''beta+b''beta' + c''beta'' & a''gamma+b''gamma' + c''gamma''endarray right)endalign$$
This is the standard definition of matrix multiplication. I must believe that matrix multiplication was defined to deal with this specific problem. The paper continues to mention several properties of matrix multiplication such as non-commutativity, composition with unity and zero and exponentiation.
Here is the written rule of composition:
Any line of the compound matrix is obtained by combining the corresponding line of the first component matrix successively with the several columns of the second matrix (p. 21)
1
Should the set of linear functions $(ax + by + cz, a'z + b'y + c'z, a''z + b''y + c''z)$ be $(ax + by + cz, a'x + b'y + c'z, a''x + b''y + c''z)$?
â Vilhelm Gray
May 11 '17 at 18:11
Brad's is THE answer, I think. The eventual coefficients obtained from a double transformation of (x, y, z) require row elements of the left transform matrices to be multiplied by their corresponding column element of the right transform matrix. My own old idea was that if multiplication of a vector by a matrix is done like A (x, y, z) = (x', y', z'), i.e. using row vectors, then the resulting system will not "read" as clearly as if the (x, y, z) & (x', y', z') were written as a column vectors. And this is only for a 3-D system. Higher order systems harder still. But Brad's idea is dead-on.
â Trunk
Dec 28 '17 at 15:57
add a comment |Â
up vote
26
down vote
Here is an answer directly reflecting the historical perspective from the paper Memoir on the theory of matrices By Authur Cayley, 1857. This paper is available here.
This paper is credited with "containing the first abstract definition of a matrix" and "a matrix algebra defining addition, multiplication, scalar multiplication and inverses" (source).
In this paper a nonstandard notation is used. I will do my best to place it in a more "modern" (but still nonstandard) notation. The bulk of the contents of this post will come from pages 20-21.
To introduce notation, $$ (X,Y,Z)= left( beginarrayccc
a & b & c \
a' & b' & c' \
a'' & b'' & c'' endarray right)(x,y,z)$$
will represent the set of linear functions $(ax + by + cz, a'z + b'y + c'z, a''z + b''y + c''z)$ which are then called $(X,Y,Z)$.
Cayley defines addition and scalar multiplication and then moves to matrix multiplication or "composition". He specifically wants to deal with the issue of:
$$(X,Y,Z)= left( beginarrayccc
a & b & c \
a' & b' & c' \
a'' & b'' & c'' endarray right)(x,y,z) quad textwhere quad (x,y,z)= left( beginarrayccc
alpha & beta & gamma \
alpha' & beta' & gamma' \
alpha'' & beta'' & gamma'' \ endarray right)(xi,eta,zeta)$$
He now wants to represent $(X,Y,Z)$ in terms of $(xi,eta,zeta)$. He does this by creating another matrix that satisfies the equation:
$$(X,Y,Z)= left( beginarrayccc
A & B & C \
A' & B' & C' \
A'' & B'' & C'' \ endarray right)(xi,eta,zeta)$$
He continues to write that the value we obtain is:
$$beginalignleft( beginarrayccc
A & B & C \
A' & B' & C' \
A'' & B'' & C'' \ endarray right) &= left( beginarrayccc
a & b & c \
a' & b' & c' \
a'' & b'' & c'' endarray right)left( beginarrayccc
alpha & beta & gamma \
alpha' & beta' & gamma' \
alpha'' & beta'' & gamma'' \ endarray right)\[.25cm] &= left( beginarrayccc
aalpha+balpha' + calpha'' & abeta+bbeta' + cbeta'' & agamma+bgamma' + cgamma'' \
a'alpha+b'alpha' + c'alpha'' & a'beta+b'beta' + c'beta'' & a'gamma+b'gamma' + c'gamma'' \
a''alpha+b''alpha' + c''alpha'' & a''beta+b''beta' + c''beta'' & a''gamma+b''gamma' + c''gamma''endarray right)endalign$$
This is the standard definition of matrix multiplication. I must believe that matrix multiplication was defined to deal with this specific problem. The paper continues to mention several properties of matrix multiplication such as non-commutativity, composition with unity and zero and exponentiation.
Here is the written rule of composition:
Any line of the compound matrix is obtained by combining the corresponding line of the first component matrix successively with the several columns of the second matrix (p. 21)
1
Should the set of linear functions $(ax + by + cz, a'z + b'y + c'z, a''z + b''y + c''z)$ be $(ax + by + cz, a'x + b'y + c'z, a''x + b''y + c''z)$?
â Vilhelm Gray
May 11 '17 at 18:11
Brad's is THE answer, I think. The eventual coefficients obtained from a double transformation of (x, y, z) require row elements of the left transform matrices to be multiplied by their corresponding column element of the right transform matrix. My own old idea was that if multiplication of a vector by a matrix is done like A (x, y, z) = (x', y', z'), i.e. using row vectors, then the resulting system will not "read" as clearly as if the (x, y, z) & (x', y', z') were written as a column vectors. And this is only for a 3-D system. Higher order systems harder still. But Brad's idea is dead-on.
â Trunk
Dec 28 '17 at 15:57
add a comment |Â
up vote
26
down vote
up vote
26
down vote
Here is an answer directly reflecting the historical perspective from the paper Memoir on the theory of matrices By Authur Cayley, 1857. This paper is available here.
This paper is credited with "containing the first abstract definition of a matrix" and "a matrix algebra defining addition, multiplication, scalar multiplication and inverses" (source).
In this paper a nonstandard notation is used. I will do my best to place it in a more "modern" (but still nonstandard) notation. The bulk of the contents of this post will come from pages 20-21.
To introduce notation, $$ (X,Y,Z)= left( beginarrayccc
a & b & c \
a' & b' & c' \
a'' & b'' & c'' endarray right)(x,y,z)$$
will represent the set of linear functions $(ax + by + cz, a'z + b'y + c'z, a''z + b''y + c''z)$ which are then called $(X,Y,Z)$.
Cayley defines addition and scalar multiplication and then moves to matrix multiplication or "composition". He specifically wants to deal with the issue of:
$$(X,Y,Z)= left( beginarrayccc
a & b & c \
a' & b' & c' \
a'' & b'' & c'' endarray right)(x,y,z) quad textwhere quad (x,y,z)= left( beginarrayccc
alpha & beta & gamma \
alpha' & beta' & gamma' \
alpha'' & beta'' & gamma'' \ endarray right)(xi,eta,zeta)$$
He now wants to represent $(X,Y,Z)$ in terms of $(xi,eta,zeta)$. He does this by creating another matrix that satisfies the equation:
$$(X,Y,Z)= left( beginarrayccc
A & B & C \
A' & B' & C' \
A'' & B'' & C'' \ endarray right)(xi,eta,zeta)$$
He continues to write that the value we obtain is:
$$beginalignleft( beginarrayccc
A & B & C \
A' & B' & C' \
A'' & B'' & C'' \ endarray right) &= left( beginarrayccc
a & b & c \
a' & b' & c' \
a'' & b'' & c'' endarray right)left( beginarrayccc
alpha & beta & gamma \
alpha' & beta' & gamma' \
alpha'' & beta'' & gamma'' \ endarray right)\[.25cm] &= left( beginarrayccc
aalpha+balpha' + calpha'' & abeta+bbeta' + cbeta'' & agamma+bgamma' + cgamma'' \
a'alpha+b'alpha' + c'alpha'' & a'beta+b'beta' + c'beta'' & a'gamma+b'gamma' + c'gamma'' \
a''alpha+b''alpha' + c''alpha'' & a''beta+b''beta' + c''beta'' & a''gamma+b''gamma' + c''gamma''endarray right)endalign$$
This is the standard definition of matrix multiplication. I must believe that matrix multiplication was defined to deal with this specific problem. The paper continues to mention several properties of matrix multiplication such as non-commutativity, composition with unity and zero and exponentiation.
Here is the written rule of composition:
Any line of the compound matrix is obtained by combining the corresponding line of the first component matrix successively with the several columns of the second matrix (p. 21)
Here is an answer directly reflecting the historical perspective from the paper Memoir on the theory of matrices By Authur Cayley, 1857. This paper is available here.
This paper is credited with "containing the first abstract definition of a matrix" and "a matrix algebra defining addition, multiplication, scalar multiplication and inverses" (source).
In this paper a nonstandard notation is used. I will do my best to place it in a more "modern" (but still nonstandard) notation. The bulk of the contents of this post will come from pages 20-21.
To introduce notation, $$ (X,Y,Z)= left( beginarrayccc
a & b & c \
a' & b' & c' \
a'' & b'' & c'' endarray right)(x,y,z)$$
will represent the set of linear functions $(ax + by + cz, a'z + b'y + c'z, a''z + b''y + c''z)$ which are then called $(X,Y,Z)$.
Cayley defines addition and scalar multiplication and then moves to matrix multiplication or "composition". He specifically wants to deal with the issue of:
$$(X,Y,Z)= left( beginarrayccc
a & b & c \
a' & b' & c' \
a'' & b'' & c'' endarray right)(x,y,z) quad textwhere quad (x,y,z)= left( beginarrayccc
alpha & beta & gamma \
alpha' & beta' & gamma' \
alpha'' & beta'' & gamma'' \ endarray right)(xi,eta,zeta)$$
He now wants to represent $(X,Y,Z)$ in terms of $(xi,eta,zeta)$. He does this by creating another matrix that satisfies the equation:
$$(X,Y,Z)= left( beginarrayccc
A & B & C \
A' & B' & C' \
A'' & B'' & C'' \ endarray right)(xi,eta,zeta)$$
He continues to write that the value we obtain is:
$$beginalignleft( beginarrayccc
A & B & C \
A' & B' & C' \
A'' & B'' & C'' \ endarray right) &= left( beginarrayccc
a & b & c \
a' & b' & c' \
a'' & b'' & c'' endarray right)left( beginarrayccc
alpha & beta & gamma \
alpha' & beta' & gamma' \
alpha'' & beta'' & gamma'' \ endarray right)\[.25cm] &= left( beginarrayccc
aalpha+balpha' + calpha'' & abeta+bbeta' + cbeta'' & agamma+bgamma' + cgamma'' \
a'alpha+b'alpha' + c'alpha'' & a'beta+b'beta' + c'beta'' & a'gamma+b'gamma' + c'gamma'' \
a''alpha+b''alpha' + c''alpha'' & a''beta+b''beta' + c''beta'' & a''gamma+b''gamma' + c''gamma''endarray right)endalign$$
This is the standard definition of matrix multiplication. I must believe that matrix multiplication was defined to deal with this specific problem. The paper continues to mention several properties of matrix multiplication such as non-commutativity, composition with unity and zero and exponentiation.
Here is the written rule of composition:
Any line of the compound matrix is obtained by combining the corresponding line of the first component matrix successively with the several columns of the second matrix (p. 21)
answered Jun 2 '14 at 13:35
Brad
4,22021348
4,22021348
1
Should the set of linear functions $(ax + by + cz, a'z + b'y + c'z, a''z + b''y + c''z)$ be $(ax + by + cz, a'x + b'y + c'z, a''x + b''y + c''z)$?
â Vilhelm Gray
May 11 '17 at 18:11
Brad's is THE answer, I think. The eventual coefficients obtained from a double transformation of (x, y, z) require row elements of the left transform matrices to be multiplied by their corresponding column element of the right transform matrix. My own old idea was that if multiplication of a vector by a matrix is done like A (x, y, z) = (x', y', z'), i.e. using row vectors, then the resulting system will not "read" as clearly as if the (x, y, z) & (x', y', z') were written as a column vectors. And this is only for a 3-D system. Higher order systems harder still. But Brad's idea is dead-on.
â Trunk
Dec 28 '17 at 15:57
add a comment |Â
1
Should the set of linear functions $(ax + by + cz, a'z + b'y + c'z, a''z + b''y + c''z)$ be $(ax + by + cz, a'x + b'y + c'z, a''x + b''y + c''z)$?
â Vilhelm Gray
May 11 '17 at 18:11
Brad's is THE answer, I think. The eventual coefficients obtained from a double transformation of (x, y, z) require row elements of the left transform matrices to be multiplied by their corresponding column element of the right transform matrix. My own old idea was that if multiplication of a vector by a matrix is done like A (x, y, z) = (x', y', z'), i.e. using row vectors, then the resulting system will not "read" as clearly as if the (x, y, z) & (x', y', z') were written as a column vectors. And this is only for a 3-D system. Higher order systems harder still. But Brad's idea is dead-on.
â Trunk
Dec 28 '17 at 15:57
1
1
Should the set of linear functions $(ax + by + cz, a'z + b'y + c'z, a''z + b''y + c''z)$ be $(ax + by + cz, a'x + b'y + c'z, a''x + b''y + c''z)$?
â Vilhelm Gray
May 11 '17 at 18:11
Should the set of linear functions $(ax + by + cz, a'z + b'y + c'z, a''z + b''y + c''z)$ be $(ax + by + cz, a'x + b'y + c'z, a''x + b''y + c''z)$?
â Vilhelm Gray
May 11 '17 at 18:11
Brad's is THE answer, I think. The eventual coefficients obtained from a double transformation of (x, y, z) require row elements of the left transform matrices to be multiplied by their corresponding column element of the right transform matrix. My own old idea was that if multiplication of a vector by a matrix is done like A (x, y, z) = (x', y', z'), i.e. using row vectors, then the resulting system will not "read" as clearly as if the (x, y, z) & (x', y', z') were written as a column vectors. And this is only for a 3-D system. Higher order systems harder still. But Brad's idea is dead-on.
â Trunk
Dec 28 '17 at 15:57
Brad's is THE answer, I think. The eventual coefficients obtained from a double transformation of (x, y, z) require row elements of the left transform matrices to be multiplied by their corresponding column element of the right transform matrix. My own old idea was that if multiplication of a vector by a matrix is done like A (x, y, z) = (x', y', z'), i.e. using row vectors, then the resulting system will not "read" as clearly as if the (x, y, z) & (x', y', z') were written as a column vectors. And this is only for a 3-D system. Higher order systems harder still. But Brad's idea is dead-on.
â Trunk
Dec 28 '17 at 15:57
add a comment |Â
up vote
13
down vote
beginalign
u & = 3x + 7y \ v & = -2x + 11y \ \ \ \
p & =13u-20v \ q & = 2u+6v
endalign
Given $x$ and $y$, how do you find $p$ and $q$? How do you write:
beginalign
p & = bullet, x + bullet, y \ q & = bullet, x+bullet, yquadtext?
endalign
What numbers go where the four $bullet$'s are?
That is what matrix multiplication is. The rationale is mathematical, not historical.
add a comment |Â
up vote
13
down vote
beginalign
u & = 3x + 7y \ v & = -2x + 11y \ \ \ \
p & =13u-20v \ q & = 2u+6v
endalign
Given $x$ and $y$, how do you find $p$ and $q$? How do you write:
beginalign
p & = bullet, x + bullet, y \ q & = bullet, x+bullet, yquadtext?
endalign
What numbers go where the four $bullet$'s are?
That is what matrix multiplication is. The rationale is mathematical, not historical.
add a comment |Â
up vote
13
down vote
up vote
13
down vote
beginalign
u & = 3x + 7y \ v & = -2x + 11y \ \ \ \
p & =13u-20v \ q & = 2u+6v
endalign
Given $x$ and $y$, how do you find $p$ and $q$? How do you write:
beginalign
p & = bullet, x + bullet, y \ q & = bullet, x+bullet, yquadtext?
endalign
What numbers go where the four $bullet$'s are?
That is what matrix multiplication is. The rationale is mathematical, not historical.
beginalign
u & = 3x + 7y \ v & = -2x + 11y \ \ \ \
p & =13u-20v \ q & = 2u+6v
endalign
Given $x$ and $y$, how do you find $p$ and $q$? How do you write:
beginalign
p & = bullet, x + bullet, y \ q & = bullet, x+bullet, yquadtext?
endalign
What numbers go where the four $bullet$'s are?
That is what matrix multiplication is. The rationale is mathematical, not historical.
edited Nov 6 '17 at 21:12
answered Jan 7 '13 at 4:45
Michael Hardy
206k23187466
206k23187466
add a comment |Â
add a comment |Â
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As to the last, matrix multiplication definitely came first (centuries first), and I'm reasonably certain from a compact representation of systems of linear equations. Leibniz already had a determinant formula. As I have no historic sources for first use, this doesn't answer your question though.
â gnometorule
Jan 7 '13 at 4:19
Matrices are linear operators and have meaning only when it acts on vectors. Given matrices $A$ and $B$, what would we want the operator/matrix $BA$ to mean? Ideally, we would want $BA$ to mean the following. For all vectors $x$, we want $(BA)x = B(Ax)$ Once we have this i.e. $(BA)x = B(Ax)$ for all $x$, then we are forced to live with the way we currently multiply matrices. And as to why matrix-vector product is defined in the way it is, the primary reason for introducing matrices was to handle linear transformation in a notationally convenient way.
â user17762
Jan 7 '13 at 4:21
There is another question, of course, which is not so much why matrix multiplication was defined like this, but why it stuck - why this apparently curious definition took off, and didn't die the death of so many putative definitions. And that was because it proved mathematically fruitful.
â Mark Bennet
Jan 7 '13 at 8:47
1
Possible duplicate of math.stackexchange.com/questions/192835/â¦.
â lhf
Jun 2 '14 at 12:45
Why is it "not intuitive"? If you ask someone how to multiply two matrices and they think about what that multiplication is supposed to mean, they absolutely will come up with the usual definition.
â m_t_
Nov 30 '16 at 15:25