What is the “determinant” of two vectors?
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I came across the notation $det(v,w)$ where $v$ and $w$ are vectors. Specifically, it was about the curvature of a plane curve:
$$kappa (t) = frac{det(gamma'(t), gamma''(t)) }{|gamma'(t)|^3}$$
What is it supposed to mean?
linear-algebra differential-geometry notation determinant
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add a comment |
$begingroup$
I came across the notation $det(v,w)$ where $v$ and $w$ are vectors. Specifically, it was about the curvature of a plane curve:
$$kappa (t) = frac{det(gamma'(t), gamma''(t)) }{|gamma'(t)|^3}$$
What is it supposed to mean?
linear-algebra differential-geometry notation determinant
$endgroup$
$begingroup$
Are they 2D vectors? You may want to see this section of the Wikipedia article on Curvature. As you should be able to see from there, $color{blue}{det(v,w)}$ means $color{blue}{det begin{pmatrix} v_1 & w_1 \ v_2 & w_2end{pmatrix}}$.
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– Minus One-Twelfth
6 hours ago
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@MinusOne-Twelfth yes
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– user
6 hours ago
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That is the determinant of their components.
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– Bernard
6 hours ago
add a comment |
$begingroup$
I came across the notation $det(v,w)$ where $v$ and $w$ are vectors. Specifically, it was about the curvature of a plane curve:
$$kappa (t) = frac{det(gamma'(t), gamma''(t)) }{|gamma'(t)|^3}$$
What is it supposed to mean?
linear-algebra differential-geometry notation determinant
$endgroup$
I came across the notation $det(v,w)$ where $v$ and $w$ are vectors. Specifically, it was about the curvature of a plane curve:
$$kappa (t) = frac{det(gamma'(t), gamma''(t)) }{|gamma'(t)|^3}$$
What is it supposed to mean?
linear-algebra differential-geometry notation determinant
linear-algebra differential-geometry notation determinant
asked 6 hours ago
useruser
613
613
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Are they 2D vectors? You may want to see this section of the Wikipedia article on Curvature. As you should be able to see from there, $color{blue}{det(v,w)}$ means $color{blue}{det begin{pmatrix} v_1 & w_1 \ v_2 & w_2end{pmatrix}}$.
$endgroup$
– Minus One-Twelfth
6 hours ago
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@MinusOne-Twelfth yes
$endgroup$
– user
6 hours ago
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That is the determinant of their components.
$endgroup$
– Bernard
6 hours ago
add a comment |
$begingroup$
Are they 2D vectors? You may want to see this section of the Wikipedia article on Curvature. As you should be able to see from there, $color{blue}{det(v,w)}$ means $color{blue}{det begin{pmatrix} v_1 & w_1 \ v_2 & w_2end{pmatrix}}$.
$endgroup$
– Minus One-Twelfth
6 hours ago
$begingroup$
@MinusOne-Twelfth yes
$endgroup$
– user
6 hours ago
$begingroup$
That is the determinant of their components.
$endgroup$
– Bernard
6 hours ago
$begingroup$
Are they 2D vectors? You may want to see this section of the Wikipedia article on Curvature. As you should be able to see from there, $color{blue}{det(v,w)}$ means $color{blue}{det begin{pmatrix} v_1 & w_1 \ v_2 & w_2end{pmatrix}}$.
$endgroup$
– Minus One-Twelfth
6 hours ago
$begingroup$
Are they 2D vectors? You may want to see this section of the Wikipedia article on Curvature. As you should be able to see from there, $color{blue}{det(v,w)}$ means $color{blue}{det begin{pmatrix} v_1 & w_1 \ v_2 & w_2end{pmatrix}}$.
$endgroup$
– Minus One-Twelfth
6 hours ago
$begingroup$
@MinusOne-Twelfth yes
$endgroup$
– user
6 hours ago
$begingroup$
@MinusOne-Twelfth yes
$endgroup$
– user
6 hours ago
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That is the determinant of their components.
$endgroup$
– Bernard
6 hours ago
$begingroup$
That is the determinant of their components.
$endgroup$
– Bernard
6 hours ago
add a comment |
3 Answers
3
active
oldest
votes
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They formed a matrix by stacking $gamma'(t)$ and $gamma''(t)$ next to each other as column vectors. You can also regard it as the cross product of the two vectors if you extend both with a $z=0$ coordinate and take the z component of the resulting vector (that way you can relate it to the 3d formula in a way).
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add a comment |
$begingroup$
In general, the determinant of $n$ vectors $v_1$, $v_2$, $dots$, $v_n$ in $mathbb R^n$ is the determinant of the matrix whose columns are $v_1$, $dots$, $v_n$ (in that order).
Seen as an application whose inputs are vectors, the determinant has nice properties:
multilinear, that is linear in each variable:
$$det(v_1,dots, a v_j+b w_j,dots,v_n)
=
a det(v_1,dots, v_j,dots,v_n)
+ bdet(v_1,dots, w_j,dots,v_n)$$alternating: switching two vectors transforms the determinant in its opposite
$$det(v_1,dots, v_i, dots, v_j,dots,v_n) = det(v_1,dots, v_j, dots, v_i,dots,v_n)$$
- The value on the canonical basis $(e_1,dots,e_n)$ of $mathbb R^n$ is $1$.
$$det(e_1,dots,e_n) = 1 $$
Actually, it can be proved that the determinant is the unique alternating multilinear form whose value on the canonical basis is $1$. Many (most?) Linear Algebra books use this as a definition of the determinant (before extending the definition to matrices and then linear applications). I think it is equivalent but more satisfying than introducing the determinant by the strange "expansion along a row" formula most PreCalculus textbook use.
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2
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I believe the issue here was not that he didn't know the definition of determinant, but rather the fact that he had a determinant of two vectors rather than a matrix.
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– lightxbulb
4 hours ago
add a comment |
$begingroup$
Vectors in a plane $v,w$ can be written as column matrices: $$v=begin{bmatrix}v_1\v_2end{bmatrix}, w=begin{bmatrix}w_1\w_2end{bmatrix}.$$ Put several of such column matrices side by side, and you get a square matrix: $$(v,w)=begin{bmatrix}v_1&w_1\v_2&w_2end{bmatrix}.$$ The determinant $det(v,w)$ is simply the determinant of this square matrix: $$det(v,w)=detbegin{bmatrix}v_1&w_1\v_2&w_2end{bmatrix}.$$
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add a comment |
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3 Answers
3
active
oldest
votes
3 Answers
3
active
oldest
votes
active
oldest
votes
active
oldest
votes
$begingroup$
They formed a matrix by stacking $gamma'(t)$ and $gamma''(t)$ next to each other as column vectors. You can also regard it as the cross product of the two vectors if you extend both with a $z=0$ coordinate and take the z component of the resulting vector (that way you can relate it to the 3d formula in a way).
$endgroup$
add a comment |
$begingroup$
They formed a matrix by stacking $gamma'(t)$ and $gamma''(t)$ next to each other as column vectors. You can also regard it as the cross product of the two vectors if you extend both with a $z=0$ coordinate and take the z component of the resulting vector (that way you can relate it to the 3d formula in a way).
$endgroup$
add a comment |
$begingroup$
They formed a matrix by stacking $gamma'(t)$ and $gamma''(t)$ next to each other as column vectors. You can also regard it as the cross product of the two vectors if you extend both with a $z=0$ coordinate and take the z component of the resulting vector (that way you can relate it to the 3d formula in a way).
$endgroup$
They formed a matrix by stacking $gamma'(t)$ and $gamma''(t)$ next to each other as column vectors. You can also regard it as the cross product of the two vectors if you extend both with a $z=0$ coordinate and take the z component of the resulting vector (that way you can relate it to the 3d formula in a way).
answered 6 hours ago
lightxbulblightxbulb
1,115311
1,115311
add a comment |
add a comment |
$begingroup$
In general, the determinant of $n$ vectors $v_1$, $v_2$, $dots$, $v_n$ in $mathbb R^n$ is the determinant of the matrix whose columns are $v_1$, $dots$, $v_n$ (in that order).
Seen as an application whose inputs are vectors, the determinant has nice properties:
multilinear, that is linear in each variable:
$$det(v_1,dots, a v_j+b w_j,dots,v_n)
=
a det(v_1,dots, v_j,dots,v_n)
+ bdet(v_1,dots, w_j,dots,v_n)$$alternating: switching two vectors transforms the determinant in its opposite
$$det(v_1,dots, v_i, dots, v_j,dots,v_n) = det(v_1,dots, v_j, dots, v_i,dots,v_n)$$
- The value on the canonical basis $(e_1,dots,e_n)$ of $mathbb R^n$ is $1$.
$$det(e_1,dots,e_n) = 1 $$
Actually, it can be proved that the determinant is the unique alternating multilinear form whose value on the canonical basis is $1$. Many (most?) Linear Algebra books use this as a definition of the determinant (before extending the definition to matrices and then linear applications). I think it is equivalent but more satisfying than introducing the determinant by the strange "expansion along a row" formula most PreCalculus textbook use.
$endgroup$
2
$begingroup$
I believe the issue here was not that he didn't know the definition of determinant, but rather the fact that he had a determinant of two vectors rather than a matrix.
$endgroup$
– lightxbulb
4 hours ago
add a comment |
$begingroup$
In general, the determinant of $n$ vectors $v_1$, $v_2$, $dots$, $v_n$ in $mathbb R^n$ is the determinant of the matrix whose columns are $v_1$, $dots$, $v_n$ (in that order).
Seen as an application whose inputs are vectors, the determinant has nice properties:
multilinear, that is linear in each variable:
$$det(v_1,dots, a v_j+b w_j,dots,v_n)
=
a det(v_1,dots, v_j,dots,v_n)
+ bdet(v_1,dots, w_j,dots,v_n)$$alternating: switching two vectors transforms the determinant in its opposite
$$det(v_1,dots, v_i, dots, v_j,dots,v_n) = det(v_1,dots, v_j, dots, v_i,dots,v_n)$$
- The value on the canonical basis $(e_1,dots,e_n)$ of $mathbb R^n$ is $1$.
$$det(e_1,dots,e_n) = 1 $$
Actually, it can be proved that the determinant is the unique alternating multilinear form whose value on the canonical basis is $1$. Many (most?) Linear Algebra books use this as a definition of the determinant (before extending the definition to matrices and then linear applications). I think it is equivalent but more satisfying than introducing the determinant by the strange "expansion along a row" formula most PreCalculus textbook use.
$endgroup$
2
$begingroup$
I believe the issue here was not that he didn't know the definition of determinant, but rather the fact that he had a determinant of two vectors rather than a matrix.
$endgroup$
– lightxbulb
4 hours ago
add a comment |
$begingroup$
In general, the determinant of $n$ vectors $v_1$, $v_2$, $dots$, $v_n$ in $mathbb R^n$ is the determinant of the matrix whose columns are $v_1$, $dots$, $v_n$ (in that order).
Seen as an application whose inputs are vectors, the determinant has nice properties:
multilinear, that is linear in each variable:
$$det(v_1,dots, a v_j+b w_j,dots,v_n)
=
a det(v_1,dots, v_j,dots,v_n)
+ bdet(v_1,dots, w_j,dots,v_n)$$alternating: switching two vectors transforms the determinant in its opposite
$$det(v_1,dots, v_i, dots, v_j,dots,v_n) = det(v_1,dots, v_j, dots, v_i,dots,v_n)$$
- The value on the canonical basis $(e_1,dots,e_n)$ of $mathbb R^n$ is $1$.
$$det(e_1,dots,e_n) = 1 $$
Actually, it can be proved that the determinant is the unique alternating multilinear form whose value on the canonical basis is $1$. Many (most?) Linear Algebra books use this as a definition of the determinant (before extending the definition to matrices and then linear applications). I think it is equivalent but more satisfying than introducing the determinant by the strange "expansion along a row" formula most PreCalculus textbook use.
$endgroup$
In general, the determinant of $n$ vectors $v_1$, $v_2$, $dots$, $v_n$ in $mathbb R^n$ is the determinant of the matrix whose columns are $v_1$, $dots$, $v_n$ (in that order).
Seen as an application whose inputs are vectors, the determinant has nice properties:
multilinear, that is linear in each variable:
$$det(v_1,dots, a v_j+b w_j,dots,v_n)
=
a det(v_1,dots, v_j,dots,v_n)
+ bdet(v_1,dots, w_j,dots,v_n)$$alternating: switching two vectors transforms the determinant in its opposite
$$det(v_1,dots, v_i, dots, v_j,dots,v_n) = det(v_1,dots, v_j, dots, v_i,dots,v_n)$$
- The value on the canonical basis $(e_1,dots,e_n)$ of $mathbb R^n$ is $1$.
$$det(e_1,dots,e_n) = 1 $$
Actually, it can be proved that the determinant is the unique alternating multilinear form whose value on the canonical basis is $1$. Many (most?) Linear Algebra books use this as a definition of the determinant (before extending the definition to matrices and then linear applications). I think it is equivalent but more satisfying than introducing the determinant by the strange "expansion along a row" formula most PreCalculus textbook use.
answered 5 hours ago
TaladrisTaladris
4,92431933
4,92431933
2
$begingroup$
I believe the issue here was not that he didn't know the definition of determinant, but rather the fact that he had a determinant of two vectors rather than a matrix.
$endgroup$
– lightxbulb
4 hours ago
add a comment |
2
$begingroup$
I believe the issue here was not that he didn't know the definition of determinant, but rather the fact that he had a determinant of two vectors rather than a matrix.
$endgroup$
– lightxbulb
4 hours ago
2
2
$begingroup$
I believe the issue here was not that he didn't know the definition of determinant, but rather the fact that he had a determinant of two vectors rather than a matrix.
$endgroup$
– lightxbulb
4 hours ago
$begingroup$
I believe the issue here was not that he didn't know the definition of determinant, but rather the fact that he had a determinant of two vectors rather than a matrix.
$endgroup$
– lightxbulb
4 hours ago
add a comment |
$begingroup$
Vectors in a plane $v,w$ can be written as column matrices: $$v=begin{bmatrix}v_1\v_2end{bmatrix}, w=begin{bmatrix}w_1\w_2end{bmatrix}.$$ Put several of such column matrices side by side, and you get a square matrix: $$(v,w)=begin{bmatrix}v_1&w_1\v_2&w_2end{bmatrix}.$$ The determinant $det(v,w)$ is simply the determinant of this square matrix: $$det(v,w)=detbegin{bmatrix}v_1&w_1\v_2&w_2end{bmatrix}.$$
$endgroup$
add a comment |
$begingroup$
Vectors in a plane $v,w$ can be written as column matrices: $$v=begin{bmatrix}v_1\v_2end{bmatrix}, w=begin{bmatrix}w_1\w_2end{bmatrix}.$$ Put several of such column matrices side by side, and you get a square matrix: $$(v,w)=begin{bmatrix}v_1&w_1\v_2&w_2end{bmatrix}.$$ The determinant $det(v,w)$ is simply the determinant of this square matrix: $$det(v,w)=detbegin{bmatrix}v_1&w_1\v_2&w_2end{bmatrix}.$$
$endgroup$
add a comment |
$begingroup$
Vectors in a plane $v,w$ can be written as column matrices: $$v=begin{bmatrix}v_1\v_2end{bmatrix}, w=begin{bmatrix}w_1\w_2end{bmatrix}.$$ Put several of such column matrices side by side, and you get a square matrix: $$(v,w)=begin{bmatrix}v_1&w_1\v_2&w_2end{bmatrix}.$$ The determinant $det(v,w)$ is simply the determinant of this square matrix: $$det(v,w)=detbegin{bmatrix}v_1&w_1\v_2&w_2end{bmatrix}.$$
$endgroup$
Vectors in a plane $v,w$ can be written as column matrices: $$v=begin{bmatrix}v_1\v_2end{bmatrix}, w=begin{bmatrix}w_1\w_2end{bmatrix}.$$ Put several of such column matrices side by side, and you get a square matrix: $$(v,w)=begin{bmatrix}v_1&w_1\v_2&w_2end{bmatrix}.$$ The determinant $det(v,w)$ is simply the determinant of this square matrix: $$det(v,w)=detbegin{bmatrix}v_1&w_1\v_2&w_2end{bmatrix}.$$
answered 39 mins ago
edmedm
3,6331425
3,6331425
add a comment |
add a comment |
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$begingroup$
Are they 2D vectors? You may want to see this section of the Wikipedia article on Curvature. As you should be able to see from there, $color{blue}{det(v,w)}$ means $color{blue}{det begin{pmatrix} v_1 & w_1 \ v_2 & w_2end{pmatrix}}$.
$endgroup$
– Minus One-Twelfth
6 hours ago
$begingroup$
@MinusOne-Twelfth yes
$endgroup$
– user
6 hours ago
$begingroup$
That is the determinant of their components.
$endgroup$
– Bernard
6 hours ago