Vector Fields as Differential Operators
$begingroup$
Given a manifold $mathcal{M}$, the notion of a vector field $xi$ on $mathcal{M}$ can be interpreted as a collection of arrows on the manifold. In the book The Road to Reality by Roger Penrose, Chapter 12, Section 4, he mentions that the vector field $xi$ can act on any (smooth) scalar field $Phi$ to produce another scalar field $xi(Phi)$ in the manner of a differential operator. He uses the following definition:
The interpretation of $xi(Phi)$ is to be the 'rate of increase' of $Phi$ in the direction indicated by the arrows that represent $xi$ ...
The book would like the reader to show that the scalar product
begin{align*}
alphacdotxi=alpha_1xi^1+alpha_2xi^2+cdots+alpha_nxi^n
end{align*}
is consistent with $dPhicdotxi=xi(Phi)$, in the particular case where $alpha=dPhi$ using the chain rule, but unfortunately without knowing the precise definition of $xi(Phi)$, I have no way to prove this. There seems to be a similarity between this definition and the directional derivative, and I was always taught that the directional derivitive in multivariable calculus was $nabla_mathbf{v}f=nabla fcdotmathbf{v}$ by definition. But if that were true, there would be nothing to prove.
vector-fields differential-operators
$endgroup$
add a comment |
$begingroup$
Given a manifold $mathcal{M}$, the notion of a vector field $xi$ on $mathcal{M}$ can be interpreted as a collection of arrows on the manifold. In the book The Road to Reality by Roger Penrose, Chapter 12, Section 4, he mentions that the vector field $xi$ can act on any (smooth) scalar field $Phi$ to produce another scalar field $xi(Phi)$ in the manner of a differential operator. He uses the following definition:
The interpretation of $xi(Phi)$ is to be the 'rate of increase' of $Phi$ in the direction indicated by the arrows that represent $xi$ ...
The book would like the reader to show that the scalar product
begin{align*}
alphacdotxi=alpha_1xi^1+alpha_2xi^2+cdots+alpha_nxi^n
end{align*}
is consistent with $dPhicdotxi=xi(Phi)$, in the particular case where $alpha=dPhi$ using the chain rule, but unfortunately without knowing the precise definition of $xi(Phi)$, I have no way to prove this. There seems to be a similarity between this definition and the directional derivative, and I was always taught that the directional derivitive in multivariable calculus was $nabla_mathbf{v}f=nabla fcdotmathbf{v}$ by definition. But if that were true, there would be nothing to prove.
vector-fields differential-operators
$endgroup$
$begingroup$
You can think of $text{d}Phicdotxi=xi(Phi)$ as being a generalization of $nabla_mathbf{v}f=nabla fcdotmathbf{v}$. To a first order approximation, the rate of increase of $Phi$ in the direction of $xi$ at a specific point $P$ is a linear function of $xi$. We denote this linear function by the covector $text{d}Phi$.
$endgroup$
– gandalf61
Jan 15 at 10:51
$begingroup$
@gandalf61 Okay, I thought that it was related to directional derivatives. How is this definition more general though? It seems to me that they're identical.
$endgroup$
– Alex S
Jan 15 at 11:21
$begingroup$
@Alex_S $nabla$ can be applied to functions from $mathbb{R}^n$ to $mathbb{R}$ whereas $text{d} Phi$ can be applied to scalar functions on any differentiable manifold, which only needs to resemble $mathbb{R}^n$ locally.
$endgroup$
– gandalf61
Jan 15 at 12:25
add a comment |
$begingroup$
Given a manifold $mathcal{M}$, the notion of a vector field $xi$ on $mathcal{M}$ can be interpreted as a collection of arrows on the manifold. In the book The Road to Reality by Roger Penrose, Chapter 12, Section 4, he mentions that the vector field $xi$ can act on any (smooth) scalar field $Phi$ to produce another scalar field $xi(Phi)$ in the manner of a differential operator. He uses the following definition:
The interpretation of $xi(Phi)$ is to be the 'rate of increase' of $Phi$ in the direction indicated by the arrows that represent $xi$ ...
The book would like the reader to show that the scalar product
begin{align*}
alphacdotxi=alpha_1xi^1+alpha_2xi^2+cdots+alpha_nxi^n
end{align*}
is consistent with $dPhicdotxi=xi(Phi)$, in the particular case where $alpha=dPhi$ using the chain rule, but unfortunately without knowing the precise definition of $xi(Phi)$, I have no way to prove this. There seems to be a similarity between this definition and the directional derivative, and I was always taught that the directional derivitive in multivariable calculus was $nabla_mathbf{v}f=nabla fcdotmathbf{v}$ by definition. But if that were true, there would be nothing to prove.
vector-fields differential-operators
$endgroup$
Given a manifold $mathcal{M}$, the notion of a vector field $xi$ on $mathcal{M}$ can be interpreted as a collection of arrows on the manifold. In the book The Road to Reality by Roger Penrose, Chapter 12, Section 4, he mentions that the vector field $xi$ can act on any (smooth) scalar field $Phi$ to produce another scalar field $xi(Phi)$ in the manner of a differential operator. He uses the following definition:
The interpretation of $xi(Phi)$ is to be the 'rate of increase' of $Phi$ in the direction indicated by the arrows that represent $xi$ ...
The book would like the reader to show that the scalar product
begin{align*}
alphacdotxi=alpha_1xi^1+alpha_2xi^2+cdots+alpha_nxi^n
end{align*}
is consistent with $dPhicdotxi=xi(Phi)$, in the particular case where $alpha=dPhi$ using the chain rule, but unfortunately without knowing the precise definition of $xi(Phi)$, I have no way to prove this. There seems to be a similarity between this definition and the directional derivative, and I was always taught that the directional derivitive in multivariable calculus was $nabla_mathbf{v}f=nabla fcdotmathbf{v}$ by definition. But if that were true, there would be nothing to prove.
vector-fields differential-operators
vector-fields differential-operators
edited Jan 15 at 10:46
Alex S
asked Jan 15 at 10:23
Alex SAlex S
35518
35518
$begingroup$
You can think of $text{d}Phicdotxi=xi(Phi)$ as being a generalization of $nabla_mathbf{v}f=nabla fcdotmathbf{v}$. To a first order approximation, the rate of increase of $Phi$ in the direction of $xi$ at a specific point $P$ is a linear function of $xi$. We denote this linear function by the covector $text{d}Phi$.
$endgroup$
– gandalf61
Jan 15 at 10:51
$begingroup$
@gandalf61 Okay, I thought that it was related to directional derivatives. How is this definition more general though? It seems to me that they're identical.
$endgroup$
– Alex S
Jan 15 at 11:21
$begingroup$
@Alex_S $nabla$ can be applied to functions from $mathbb{R}^n$ to $mathbb{R}$ whereas $text{d} Phi$ can be applied to scalar functions on any differentiable manifold, which only needs to resemble $mathbb{R}^n$ locally.
$endgroup$
– gandalf61
Jan 15 at 12:25
add a comment |
$begingroup$
You can think of $text{d}Phicdotxi=xi(Phi)$ as being a generalization of $nabla_mathbf{v}f=nabla fcdotmathbf{v}$. To a first order approximation, the rate of increase of $Phi$ in the direction of $xi$ at a specific point $P$ is a linear function of $xi$. We denote this linear function by the covector $text{d}Phi$.
$endgroup$
– gandalf61
Jan 15 at 10:51
$begingroup$
@gandalf61 Okay, I thought that it was related to directional derivatives. How is this definition more general though? It seems to me that they're identical.
$endgroup$
– Alex S
Jan 15 at 11:21
$begingroup$
@Alex_S $nabla$ can be applied to functions from $mathbb{R}^n$ to $mathbb{R}$ whereas $text{d} Phi$ can be applied to scalar functions on any differentiable manifold, which only needs to resemble $mathbb{R}^n$ locally.
$endgroup$
– gandalf61
Jan 15 at 12:25
$begingroup$
You can think of $text{d}Phicdotxi=xi(Phi)$ as being a generalization of $nabla_mathbf{v}f=nabla fcdotmathbf{v}$. To a first order approximation, the rate of increase of $Phi$ in the direction of $xi$ at a specific point $P$ is a linear function of $xi$. We denote this linear function by the covector $text{d}Phi$.
$endgroup$
– gandalf61
Jan 15 at 10:51
$begingroup$
You can think of $text{d}Phicdotxi=xi(Phi)$ as being a generalization of $nabla_mathbf{v}f=nabla fcdotmathbf{v}$. To a first order approximation, the rate of increase of $Phi$ in the direction of $xi$ at a specific point $P$ is a linear function of $xi$. We denote this linear function by the covector $text{d}Phi$.
$endgroup$
– gandalf61
Jan 15 at 10:51
$begingroup$
@gandalf61 Okay, I thought that it was related to directional derivatives. How is this definition more general though? It seems to me that they're identical.
$endgroup$
– Alex S
Jan 15 at 11:21
$begingroup$
@gandalf61 Okay, I thought that it was related to directional derivatives. How is this definition more general though? It seems to me that they're identical.
$endgroup$
– Alex S
Jan 15 at 11:21
$begingroup$
@Alex_S $nabla$ can be applied to functions from $mathbb{R}^n$ to $mathbb{R}$ whereas $text{d} Phi$ can be applied to scalar functions on any differentiable manifold, which only needs to resemble $mathbb{R}^n$ locally.
$endgroup$
– gandalf61
Jan 15 at 12:25
$begingroup$
@Alex_S $nabla$ can be applied to functions from $mathbb{R}^n$ to $mathbb{R}$ whereas $text{d} Phi$ can be applied to scalar functions on any differentiable manifold, which only needs to resemble $mathbb{R}^n$ locally.
$endgroup$
– gandalf61
Jan 15 at 12:25
add a comment |
1 Answer
1
active
oldest
votes
$begingroup$
We begin by defining the scalar product of a covector and a vector as
begin{align*}
alphacdotxi=alpha_1xi^1+alpha_2xi^2+cdots+alpha_nxi^n
end{align*}
Since $alpha=dPhi$, we have
begin{align*}
alphacdotxi&=dPhicdotxi
end{align*}
The covector $dPhi$ is equal to
begin{align*}
dPhi=left(frac{partialPhi}{partial x^1},frac{partialPhi}{partial x^2},ldots,frac{partialPhi}{partial x^n}right)
end{align*}
Using the expression for the scalar product defined earlier,
begin{align*}
dPhicdotxi&=frac{partialPhi}{partial x_1}xi^1+frac{partialPhi}{partial x_2}xi^2+cdots+frac{partialPhi}{partial x_n}xi^n
end{align*}
The vector field $xi$ can be represented by its set of components in terms of partial differential operators, and we will of course choose the coordinates to be the same as the previously used coordinates for $Phi$:
begin{align*}
xi=xi^1frac{partial}{partial x^1}+xi^2frac{partial}{partial x^2}+cdots+xi^nfrac{partial}{partial x^n}
end{align*}
Therefore,
begin{align*}
xi(Phi)&=left(xi^1frac{partial}{partial x^1}+xi^2frac{partial}{partial x^2}+cdots+xi^nfrac{partial}{partial x^n}right)Phi\
&=xi^1frac{partialPhi}{partial x^1}+xi^2frac{partialPhi}{partial x^2}+cdots+xi^nfrac{partialPhi}{partial x^n}
end{align*}
Hence, the definition of the scalar product implies $dPhicdot xi=xi(Phi)$ as required.
$endgroup$
$begingroup$
Note that $alpha=dPhi$ is a 1-form, i.e. a (covector)-field, and the 'scalar product' above is a natural map which inputs a covector and a vector, and is not an inner product of two vectors.
$endgroup$
– Berci
Jan 15 at 13:14
$begingroup$
@Berci Yes, that was mentioned in the text. It should be clear by the use of indices though. Also I forgot to mention that $mathcal{M}$ is a finite dimensional manifold so doesn't every one-form essentially act like an inner product with respect to vectors? I read somewhere it has to do with the Riesz representation theorem but I'm not sure.
$endgroup$
– Alex S
Jan 15 at 13:50
add a comment |
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1 Answer
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1 Answer
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oldest
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oldest
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$begingroup$
We begin by defining the scalar product of a covector and a vector as
begin{align*}
alphacdotxi=alpha_1xi^1+alpha_2xi^2+cdots+alpha_nxi^n
end{align*}
Since $alpha=dPhi$, we have
begin{align*}
alphacdotxi&=dPhicdotxi
end{align*}
The covector $dPhi$ is equal to
begin{align*}
dPhi=left(frac{partialPhi}{partial x^1},frac{partialPhi}{partial x^2},ldots,frac{partialPhi}{partial x^n}right)
end{align*}
Using the expression for the scalar product defined earlier,
begin{align*}
dPhicdotxi&=frac{partialPhi}{partial x_1}xi^1+frac{partialPhi}{partial x_2}xi^2+cdots+frac{partialPhi}{partial x_n}xi^n
end{align*}
The vector field $xi$ can be represented by its set of components in terms of partial differential operators, and we will of course choose the coordinates to be the same as the previously used coordinates for $Phi$:
begin{align*}
xi=xi^1frac{partial}{partial x^1}+xi^2frac{partial}{partial x^2}+cdots+xi^nfrac{partial}{partial x^n}
end{align*}
Therefore,
begin{align*}
xi(Phi)&=left(xi^1frac{partial}{partial x^1}+xi^2frac{partial}{partial x^2}+cdots+xi^nfrac{partial}{partial x^n}right)Phi\
&=xi^1frac{partialPhi}{partial x^1}+xi^2frac{partialPhi}{partial x^2}+cdots+xi^nfrac{partialPhi}{partial x^n}
end{align*}
Hence, the definition of the scalar product implies $dPhicdot xi=xi(Phi)$ as required.
$endgroup$
$begingroup$
Note that $alpha=dPhi$ is a 1-form, i.e. a (covector)-field, and the 'scalar product' above is a natural map which inputs a covector and a vector, and is not an inner product of two vectors.
$endgroup$
– Berci
Jan 15 at 13:14
$begingroup$
@Berci Yes, that was mentioned in the text. It should be clear by the use of indices though. Also I forgot to mention that $mathcal{M}$ is a finite dimensional manifold so doesn't every one-form essentially act like an inner product with respect to vectors? I read somewhere it has to do with the Riesz representation theorem but I'm not sure.
$endgroup$
– Alex S
Jan 15 at 13:50
add a comment |
$begingroup$
We begin by defining the scalar product of a covector and a vector as
begin{align*}
alphacdotxi=alpha_1xi^1+alpha_2xi^2+cdots+alpha_nxi^n
end{align*}
Since $alpha=dPhi$, we have
begin{align*}
alphacdotxi&=dPhicdotxi
end{align*}
The covector $dPhi$ is equal to
begin{align*}
dPhi=left(frac{partialPhi}{partial x^1},frac{partialPhi}{partial x^2},ldots,frac{partialPhi}{partial x^n}right)
end{align*}
Using the expression for the scalar product defined earlier,
begin{align*}
dPhicdotxi&=frac{partialPhi}{partial x_1}xi^1+frac{partialPhi}{partial x_2}xi^2+cdots+frac{partialPhi}{partial x_n}xi^n
end{align*}
The vector field $xi$ can be represented by its set of components in terms of partial differential operators, and we will of course choose the coordinates to be the same as the previously used coordinates for $Phi$:
begin{align*}
xi=xi^1frac{partial}{partial x^1}+xi^2frac{partial}{partial x^2}+cdots+xi^nfrac{partial}{partial x^n}
end{align*}
Therefore,
begin{align*}
xi(Phi)&=left(xi^1frac{partial}{partial x^1}+xi^2frac{partial}{partial x^2}+cdots+xi^nfrac{partial}{partial x^n}right)Phi\
&=xi^1frac{partialPhi}{partial x^1}+xi^2frac{partialPhi}{partial x^2}+cdots+xi^nfrac{partialPhi}{partial x^n}
end{align*}
Hence, the definition of the scalar product implies $dPhicdot xi=xi(Phi)$ as required.
$endgroup$
$begingroup$
Note that $alpha=dPhi$ is a 1-form, i.e. a (covector)-field, and the 'scalar product' above is a natural map which inputs a covector and a vector, and is not an inner product of two vectors.
$endgroup$
– Berci
Jan 15 at 13:14
$begingroup$
@Berci Yes, that was mentioned in the text. It should be clear by the use of indices though. Also I forgot to mention that $mathcal{M}$ is a finite dimensional manifold so doesn't every one-form essentially act like an inner product with respect to vectors? I read somewhere it has to do with the Riesz representation theorem but I'm not sure.
$endgroup$
– Alex S
Jan 15 at 13:50
add a comment |
$begingroup$
We begin by defining the scalar product of a covector and a vector as
begin{align*}
alphacdotxi=alpha_1xi^1+alpha_2xi^2+cdots+alpha_nxi^n
end{align*}
Since $alpha=dPhi$, we have
begin{align*}
alphacdotxi&=dPhicdotxi
end{align*}
The covector $dPhi$ is equal to
begin{align*}
dPhi=left(frac{partialPhi}{partial x^1},frac{partialPhi}{partial x^2},ldots,frac{partialPhi}{partial x^n}right)
end{align*}
Using the expression for the scalar product defined earlier,
begin{align*}
dPhicdotxi&=frac{partialPhi}{partial x_1}xi^1+frac{partialPhi}{partial x_2}xi^2+cdots+frac{partialPhi}{partial x_n}xi^n
end{align*}
The vector field $xi$ can be represented by its set of components in terms of partial differential operators, and we will of course choose the coordinates to be the same as the previously used coordinates for $Phi$:
begin{align*}
xi=xi^1frac{partial}{partial x^1}+xi^2frac{partial}{partial x^2}+cdots+xi^nfrac{partial}{partial x^n}
end{align*}
Therefore,
begin{align*}
xi(Phi)&=left(xi^1frac{partial}{partial x^1}+xi^2frac{partial}{partial x^2}+cdots+xi^nfrac{partial}{partial x^n}right)Phi\
&=xi^1frac{partialPhi}{partial x^1}+xi^2frac{partialPhi}{partial x^2}+cdots+xi^nfrac{partialPhi}{partial x^n}
end{align*}
Hence, the definition of the scalar product implies $dPhicdot xi=xi(Phi)$ as required.
$endgroup$
We begin by defining the scalar product of a covector and a vector as
begin{align*}
alphacdotxi=alpha_1xi^1+alpha_2xi^2+cdots+alpha_nxi^n
end{align*}
Since $alpha=dPhi$, we have
begin{align*}
alphacdotxi&=dPhicdotxi
end{align*}
The covector $dPhi$ is equal to
begin{align*}
dPhi=left(frac{partialPhi}{partial x^1},frac{partialPhi}{partial x^2},ldots,frac{partialPhi}{partial x^n}right)
end{align*}
Using the expression for the scalar product defined earlier,
begin{align*}
dPhicdotxi&=frac{partialPhi}{partial x_1}xi^1+frac{partialPhi}{partial x_2}xi^2+cdots+frac{partialPhi}{partial x_n}xi^n
end{align*}
The vector field $xi$ can be represented by its set of components in terms of partial differential operators, and we will of course choose the coordinates to be the same as the previously used coordinates for $Phi$:
begin{align*}
xi=xi^1frac{partial}{partial x^1}+xi^2frac{partial}{partial x^2}+cdots+xi^nfrac{partial}{partial x^n}
end{align*}
Therefore,
begin{align*}
xi(Phi)&=left(xi^1frac{partial}{partial x^1}+xi^2frac{partial}{partial x^2}+cdots+xi^nfrac{partial}{partial x^n}right)Phi\
&=xi^1frac{partialPhi}{partial x^1}+xi^2frac{partialPhi}{partial x^2}+cdots+xi^nfrac{partialPhi}{partial x^n}
end{align*}
Hence, the definition of the scalar product implies $dPhicdot xi=xi(Phi)$ as required.
edited Jan 17 at 9:45
answered Jan 15 at 11:13
Alex SAlex S
35518
35518
$begingroup$
Note that $alpha=dPhi$ is a 1-form, i.e. a (covector)-field, and the 'scalar product' above is a natural map which inputs a covector and a vector, and is not an inner product of two vectors.
$endgroup$
– Berci
Jan 15 at 13:14
$begingroup$
@Berci Yes, that was mentioned in the text. It should be clear by the use of indices though. Also I forgot to mention that $mathcal{M}$ is a finite dimensional manifold so doesn't every one-form essentially act like an inner product with respect to vectors? I read somewhere it has to do with the Riesz representation theorem but I'm not sure.
$endgroup$
– Alex S
Jan 15 at 13:50
add a comment |
$begingroup$
Note that $alpha=dPhi$ is a 1-form, i.e. a (covector)-field, and the 'scalar product' above is a natural map which inputs a covector and a vector, and is not an inner product of two vectors.
$endgroup$
– Berci
Jan 15 at 13:14
$begingroup$
@Berci Yes, that was mentioned in the text. It should be clear by the use of indices though. Also I forgot to mention that $mathcal{M}$ is a finite dimensional manifold so doesn't every one-form essentially act like an inner product with respect to vectors? I read somewhere it has to do with the Riesz representation theorem but I'm not sure.
$endgroup$
– Alex S
Jan 15 at 13:50
$begingroup$
Note that $alpha=dPhi$ is a 1-form, i.e. a (covector)-field, and the 'scalar product' above is a natural map which inputs a covector and a vector, and is not an inner product of two vectors.
$endgroup$
– Berci
Jan 15 at 13:14
$begingroup$
Note that $alpha=dPhi$ is a 1-form, i.e. a (covector)-field, and the 'scalar product' above is a natural map which inputs a covector and a vector, and is not an inner product of two vectors.
$endgroup$
– Berci
Jan 15 at 13:14
$begingroup$
@Berci Yes, that was mentioned in the text. It should be clear by the use of indices though. Also I forgot to mention that $mathcal{M}$ is a finite dimensional manifold so doesn't every one-form essentially act like an inner product with respect to vectors? I read somewhere it has to do with the Riesz representation theorem but I'm not sure.
$endgroup$
– Alex S
Jan 15 at 13:50
$begingroup$
@Berci Yes, that was mentioned in the text. It should be clear by the use of indices though. Also I forgot to mention that $mathcal{M}$ is a finite dimensional manifold so doesn't every one-form essentially act like an inner product with respect to vectors? I read somewhere it has to do with the Riesz representation theorem but I'm not sure.
$endgroup$
– Alex S
Jan 15 at 13:50
add a comment |
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$begingroup$
You can think of $text{d}Phicdotxi=xi(Phi)$ as being a generalization of $nabla_mathbf{v}f=nabla fcdotmathbf{v}$. To a first order approximation, the rate of increase of $Phi$ in the direction of $xi$ at a specific point $P$ is a linear function of $xi$. We denote this linear function by the covector $text{d}Phi$.
$endgroup$
– gandalf61
Jan 15 at 10:51
$begingroup$
@gandalf61 Okay, I thought that it was related to directional derivatives. How is this definition more general though? It seems to me that they're identical.
$endgroup$
– Alex S
Jan 15 at 11:21
$begingroup$
@Alex_S $nabla$ can be applied to functions from $mathbb{R}^n$ to $mathbb{R}$ whereas $text{d} Phi$ can be applied to scalar functions on any differentiable manifold, which only needs to resemble $mathbb{R}^n$ locally.
$endgroup$
– gandalf61
Jan 15 at 12:25