What is the difference between differential 1-form and duality pairing?
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I am trying to learn the basics of differential geometry. The duality pairing between a coordinate basis and its canonical basis is given by the Kronecker delta, which is nothing but a scalar value. Whereas, the differential 1-form in my notes is given as $alpha = alpha_i (x^1,...,x^n) dx^i$. In the above relation, am i right in assuming that $(x^1,...,x^n)$ is the vector of expansion coefficients of any tangent vector, if $alpha_i$ are the expansion coefficients of the corresponding cotangent vector? If so, how does the relation for differential 1-form has a dimension of 1? Also how does one physically interpret duality pairing and differential 1-form?
general-topology differential-geometry
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I am trying to learn the basics of differential geometry. The duality pairing between a coordinate basis and its canonical basis is given by the Kronecker delta, which is nothing but a scalar value. Whereas, the differential 1-form in my notes is given as $alpha = alpha_i (x^1,...,x^n) dx^i$. In the above relation, am i right in assuming that $(x^1,...,x^n)$ is the vector of expansion coefficients of any tangent vector, if $alpha_i$ are the expansion coefficients of the corresponding cotangent vector? If so, how does the relation for differential 1-form has a dimension of 1? Also how does one physically interpret duality pairing and differential 1-form?
general-topology differential-geometry
add a comment |Â
up vote
0
down vote
favorite
up vote
0
down vote
favorite
I am trying to learn the basics of differential geometry. The duality pairing between a coordinate basis and its canonical basis is given by the Kronecker delta, which is nothing but a scalar value. Whereas, the differential 1-form in my notes is given as $alpha = alpha_i (x^1,...,x^n) dx^i$. In the above relation, am i right in assuming that $(x^1,...,x^n)$ is the vector of expansion coefficients of any tangent vector, if $alpha_i$ are the expansion coefficients of the corresponding cotangent vector? If so, how does the relation for differential 1-form has a dimension of 1? Also how does one physically interpret duality pairing and differential 1-form?
general-topology differential-geometry
I am trying to learn the basics of differential geometry. The duality pairing between a coordinate basis and its canonical basis is given by the Kronecker delta, which is nothing but a scalar value. Whereas, the differential 1-form in my notes is given as $alpha = alpha_i (x^1,...,x^n) dx^i$. In the above relation, am i right in assuming that $(x^1,...,x^n)$ is the vector of expansion coefficients of any tangent vector, if $alpha_i$ are the expansion coefficients of the corresponding cotangent vector? If so, how does the relation for differential 1-form has a dimension of 1? Also how does one physically interpret duality pairing and differential 1-form?
general-topology differential-geometry
asked Jul 22 at 7:59
K. Sripathy
31
31
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1 Answer
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To fix the language: For a finite dimensional real vector space $V$, its dual space is defined as
$$V^* := alpha: V to mathbb R mid alpha text is linear .$$
A dual pairing is now a map
$$<cdot,cdot>: V times V^* to mathbb R: (v,alpha) mapsto alpha(v). $$
If $ e_1, dots, e_n$ is a basis of $V$, we call $ e^1, dots, e^n$ the dual basis of $V^*$, if
$$ e^i(e_j) = delta_ij, text for all i,j.$$
Is $alpha(x^1, dots, x^n)$ the vector of expansion coefficients of any tangent vector?
No. I would assume, that these are coefficients which depend on the current coordinates.
A differential 1-form is a smooth map $alpha:TM to mathbb R$ which is linear on each fiber, i.e. at each point $p$, the restriction $alpha_p: T_p M to mathbb R$ is a linear map, or equivalently $alpha_p in (T_pM)^* =: T^*_pM$
A given chart implies a basis of the tangent space $left fracpartialpartial x^1 subset T_pM$ and a dual basis of the cotangent space $left dx^1_p, dots, dx^n_p right subset T^*_p M$.
Now at each point $p$ we can find coefficients $lambda_i(p)$, to write the covector $alpha_p$ as a linear combination of the dual basis vectors, i.e. $alpha_p = sum_i lambda_i(p) dx^i_p.$
But these coefficients depend on the current point $p$!
Therefore, if we want to describe $alpha$ not only at $p$ but in the domain of a chart $x$, we may write
$$ alpha = sum_i lambda_i(x^1, dots, x^n) dx^i.$$
Relation to the dual pairing?
The dual pairing is already hidden in the construction of the dual basis!
For tangential and cotangential vectors, the relation between a basis and a dual basis reads
$$ dx^jleft( fracpartialpartial x^i right) = delta_ij.$$
In particular
$$alphaleft(fracpartialpartial x^jright) = sum_i lambda_i dx^ileft(fracpartialpartial x^jright) = lambda_j.$$
Physical interpretation
That's a question on its own. There are many important 1-forms in physics, for example momentum and (often) force. In physics these are usually called contravariant vectors, since they transform differently than tangent vectors.
Thanks for the clarification. It makes more sense now that the expansion coefficient of co-vector is a function of the position in tangential vector space. I tend to get lost in the syntax for these expressions. Hypothetically, had it been a vector of expansion coefficients, would I represent it with $x^j$ in that case?
– K. Sripathy
Jul 22 at 11:47
If you have a tangent vector $v in TM$, you could represent it with respect to a chart $x$ via $v = sum mu_i fracpartialpartial x^i = sum_i dx^i( v ) fracpartialpartial x^i$. A bit confusing, I know... So, if you want to get a (locally defined) chart $TM to mathbb R^2n$, it would be $mapsto left(x^1(p), dots x^n(p), dx^1(v), dots dx^n(v)right)$. Here $p$ is the point such that $v in T_pM$. The expansion coefficients of $v$ with respect the chart's tangent basis are $dx^i(v)$.
– Steffen Plunder
Jul 22 at 11:59
Much appreciated!
– K. Sripathy
Jul 22 at 12:43
add a comment |Â
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
0
down vote
accepted
To fix the language: For a finite dimensional real vector space $V$, its dual space is defined as
$$V^* := alpha: V to mathbb R mid alpha text is linear .$$
A dual pairing is now a map
$$<cdot,cdot>: V times V^* to mathbb R: (v,alpha) mapsto alpha(v). $$
If $ e_1, dots, e_n$ is a basis of $V$, we call $ e^1, dots, e^n$ the dual basis of $V^*$, if
$$ e^i(e_j) = delta_ij, text for all i,j.$$
Is $alpha(x^1, dots, x^n)$ the vector of expansion coefficients of any tangent vector?
No. I would assume, that these are coefficients which depend on the current coordinates.
A differential 1-form is a smooth map $alpha:TM to mathbb R$ which is linear on each fiber, i.e. at each point $p$, the restriction $alpha_p: T_p M to mathbb R$ is a linear map, or equivalently $alpha_p in (T_pM)^* =: T^*_pM$
A given chart implies a basis of the tangent space $left fracpartialpartial x^1 subset T_pM$ and a dual basis of the cotangent space $left dx^1_p, dots, dx^n_p right subset T^*_p M$.
Now at each point $p$ we can find coefficients $lambda_i(p)$, to write the covector $alpha_p$ as a linear combination of the dual basis vectors, i.e. $alpha_p = sum_i lambda_i(p) dx^i_p.$
But these coefficients depend on the current point $p$!
Therefore, if we want to describe $alpha$ not only at $p$ but in the domain of a chart $x$, we may write
$$ alpha = sum_i lambda_i(x^1, dots, x^n) dx^i.$$
Relation to the dual pairing?
The dual pairing is already hidden in the construction of the dual basis!
For tangential and cotangential vectors, the relation between a basis and a dual basis reads
$$ dx^jleft( fracpartialpartial x^i right) = delta_ij.$$
In particular
$$alphaleft(fracpartialpartial x^jright) = sum_i lambda_i dx^ileft(fracpartialpartial x^jright) = lambda_j.$$
Physical interpretation
That's a question on its own. There are many important 1-forms in physics, for example momentum and (often) force. In physics these are usually called contravariant vectors, since they transform differently than tangent vectors.
Thanks for the clarification. It makes more sense now that the expansion coefficient of co-vector is a function of the position in tangential vector space. I tend to get lost in the syntax for these expressions. Hypothetically, had it been a vector of expansion coefficients, would I represent it with $x^j$ in that case?
– K. Sripathy
Jul 22 at 11:47
If you have a tangent vector $v in TM$, you could represent it with respect to a chart $x$ via $v = sum mu_i fracpartialpartial x^i = sum_i dx^i( v ) fracpartialpartial x^i$. A bit confusing, I know... So, if you want to get a (locally defined) chart $TM to mathbb R^2n$, it would be $mapsto left(x^1(p), dots x^n(p), dx^1(v), dots dx^n(v)right)$. Here $p$ is the point such that $v in T_pM$. The expansion coefficients of $v$ with respect the chart's tangent basis are $dx^i(v)$.
– Steffen Plunder
Jul 22 at 11:59
Much appreciated!
– K. Sripathy
Jul 22 at 12:43
add a comment |Â
up vote
0
down vote
accepted
To fix the language: For a finite dimensional real vector space $V$, its dual space is defined as
$$V^* := alpha: V to mathbb R mid alpha text is linear .$$
A dual pairing is now a map
$$<cdot,cdot>: V times V^* to mathbb R: (v,alpha) mapsto alpha(v). $$
If $ e_1, dots, e_n$ is a basis of $V$, we call $ e^1, dots, e^n$ the dual basis of $V^*$, if
$$ e^i(e_j) = delta_ij, text for all i,j.$$
Is $alpha(x^1, dots, x^n)$ the vector of expansion coefficients of any tangent vector?
No. I would assume, that these are coefficients which depend on the current coordinates.
A differential 1-form is a smooth map $alpha:TM to mathbb R$ which is linear on each fiber, i.e. at each point $p$, the restriction $alpha_p: T_p M to mathbb R$ is a linear map, or equivalently $alpha_p in (T_pM)^* =: T^*_pM$
A given chart implies a basis of the tangent space $left fracpartialpartial x^1 subset T_pM$ and a dual basis of the cotangent space $left dx^1_p, dots, dx^n_p right subset T^*_p M$.
Now at each point $p$ we can find coefficients $lambda_i(p)$, to write the covector $alpha_p$ as a linear combination of the dual basis vectors, i.e. $alpha_p = sum_i lambda_i(p) dx^i_p.$
But these coefficients depend on the current point $p$!
Therefore, if we want to describe $alpha$ not only at $p$ but in the domain of a chart $x$, we may write
$$ alpha = sum_i lambda_i(x^1, dots, x^n) dx^i.$$
Relation to the dual pairing?
The dual pairing is already hidden in the construction of the dual basis!
For tangential and cotangential vectors, the relation between a basis and a dual basis reads
$$ dx^jleft( fracpartialpartial x^i right) = delta_ij.$$
In particular
$$alphaleft(fracpartialpartial x^jright) = sum_i lambda_i dx^ileft(fracpartialpartial x^jright) = lambda_j.$$
Physical interpretation
That's a question on its own. There are many important 1-forms in physics, for example momentum and (often) force. In physics these are usually called contravariant vectors, since they transform differently than tangent vectors.
Thanks for the clarification. It makes more sense now that the expansion coefficient of co-vector is a function of the position in tangential vector space. I tend to get lost in the syntax for these expressions. Hypothetically, had it been a vector of expansion coefficients, would I represent it with $x^j$ in that case?
– K. Sripathy
Jul 22 at 11:47
If you have a tangent vector $v in TM$, you could represent it with respect to a chart $x$ via $v = sum mu_i fracpartialpartial x^i = sum_i dx^i( v ) fracpartialpartial x^i$. A bit confusing, I know... So, if you want to get a (locally defined) chart $TM to mathbb R^2n$, it would be $mapsto left(x^1(p), dots x^n(p), dx^1(v), dots dx^n(v)right)$. Here $p$ is the point such that $v in T_pM$. The expansion coefficients of $v$ with respect the chart's tangent basis are $dx^i(v)$.
– Steffen Plunder
Jul 22 at 11:59
Much appreciated!
– K. Sripathy
Jul 22 at 12:43
add a comment |Â
up vote
0
down vote
accepted
up vote
0
down vote
accepted
To fix the language: For a finite dimensional real vector space $V$, its dual space is defined as
$$V^* := alpha: V to mathbb R mid alpha text is linear .$$
A dual pairing is now a map
$$<cdot,cdot>: V times V^* to mathbb R: (v,alpha) mapsto alpha(v). $$
If $ e_1, dots, e_n$ is a basis of $V$, we call $ e^1, dots, e^n$ the dual basis of $V^*$, if
$$ e^i(e_j) = delta_ij, text for all i,j.$$
Is $alpha(x^1, dots, x^n)$ the vector of expansion coefficients of any tangent vector?
No. I would assume, that these are coefficients which depend on the current coordinates.
A differential 1-form is a smooth map $alpha:TM to mathbb R$ which is linear on each fiber, i.e. at each point $p$, the restriction $alpha_p: T_p M to mathbb R$ is a linear map, or equivalently $alpha_p in (T_pM)^* =: T^*_pM$
A given chart implies a basis of the tangent space $left fracpartialpartial x^1 subset T_pM$ and a dual basis of the cotangent space $left dx^1_p, dots, dx^n_p right subset T^*_p M$.
Now at each point $p$ we can find coefficients $lambda_i(p)$, to write the covector $alpha_p$ as a linear combination of the dual basis vectors, i.e. $alpha_p = sum_i lambda_i(p) dx^i_p.$
But these coefficients depend on the current point $p$!
Therefore, if we want to describe $alpha$ not only at $p$ but in the domain of a chart $x$, we may write
$$ alpha = sum_i lambda_i(x^1, dots, x^n) dx^i.$$
Relation to the dual pairing?
The dual pairing is already hidden in the construction of the dual basis!
For tangential and cotangential vectors, the relation between a basis and a dual basis reads
$$ dx^jleft( fracpartialpartial x^i right) = delta_ij.$$
In particular
$$alphaleft(fracpartialpartial x^jright) = sum_i lambda_i dx^ileft(fracpartialpartial x^jright) = lambda_j.$$
Physical interpretation
That's a question on its own. There are many important 1-forms in physics, for example momentum and (often) force. In physics these are usually called contravariant vectors, since they transform differently than tangent vectors.
To fix the language: For a finite dimensional real vector space $V$, its dual space is defined as
$$V^* := alpha: V to mathbb R mid alpha text is linear .$$
A dual pairing is now a map
$$<cdot,cdot>: V times V^* to mathbb R: (v,alpha) mapsto alpha(v). $$
If $ e_1, dots, e_n$ is a basis of $V$, we call $ e^1, dots, e^n$ the dual basis of $V^*$, if
$$ e^i(e_j) = delta_ij, text for all i,j.$$
Is $alpha(x^1, dots, x^n)$ the vector of expansion coefficients of any tangent vector?
No. I would assume, that these are coefficients which depend on the current coordinates.
A differential 1-form is a smooth map $alpha:TM to mathbb R$ which is linear on each fiber, i.e. at each point $p$, the restriction $alpha_p: T_p M to mathbb R$ is a linear map, or equivalently $alpha_p in (T_pM)^* =: T^*_pM$
A given chart implies a basis of the tangent space $left fracpartialpartial x^1 subset T_pM$ and a dual basis of the cotangent space $left dx^1_p, dots, dx^n_p right subset T^*_p M$.
Now at each point $p$ we can find coefficients $lambda_i(p)$, to write the covector $alpha_p$ as a linear combination of the dual basis vectors, i.e. $alpha_p = sum_i lambda_i(p) dx^i_p.$
But these coefficients depend on the current point $p$!
Therefore, if we want to describe $alpha$ not only at $p$ but in the domain of a chart $x$, we may write
$$ alpha = sum_i lambda_i(x^1, dots, x^n) dx^i.$$
Relation to the dual pairing?
The dual pairing is already hidden in the construction of the dual basis!
For tangential and cotangential vectors, the relation between a basis and a dual basis reads
$$ dx^jleft( fracpartialpartial x^i right) = delta_ij.$$
In particular
$$alphaleft(fracpartialpartial x^jright) = sum_i lambda_i dx^ileft(fracpartialpartial x^jright) = lambda_j.$$
Physical interpretation
That's a question on its own. There are many important 1-forms in physics, for example momentum and (often) force. In physics these are usually called contravariant vectors, since they transform differently than tangent vectors.
answered Jul 22 at 11:33
Steffen Plunder
45829
45829
Thanks for the clarification. It makes more sense now that the expansion coefficient of co-vector is a function of the position in tangential vector space. I tend to get lost in the syntax for these expressions. Hypothetically, had it been a vector of expansion coefficients, would I represent it with $x^j$ in that case?
– K. Sripathy
Jul 22 at 11:47
If you have a tangent vector $v in TM$, you could represent it with respect to a chart $x$ via $v = sum mu_i fracpartialpartial x^i = sum_i dx^i( v ) fracpartialpartial x^i$. A bit confusing, I know... So, if you want to get a (locally defined) chart $TM to mathbb R^2n$, it would be $mapsto left(x^1(p), dots x^n(p), dx^1(v), dots dx^n(v)right)$. Here $p$ is the point such that $v in T_pM$. The expansion coefficients of $v$ with respect the chart's tangent basis are $dx^i(v)$.
– Steffen Plunder
Jul 22 at 11:59
Much appreciated!
– K. Sripathy
Jul 22 at 12:43
add a comment |Â
Thanks for the clarification. It makes more sense now that the expansion coefficient of co-vector is a function of the position in tangential vector space. I tend to get lost in the syntax for these expressions. Hypothetically, had it been a vector of expansion coefficients, would I represent it with $x^j$ in that case?
– K. Sripathy
Jul 22 at 11:47
If you have a tangent vector $v in TM$, you could represent it with respect to a chart $x$ via $v = sum mu_i fracpartialpartial x^i = sum_i dx^i( v ) fracpartialpartial x^i$. A bit confusing, I know... So, if you want to get a (locally defined) chart $TM to mathbb R^2n$, it would be $mapsto left(x^1(p), dots x^n(p), dx^1(v), dots dx^n(v)right)$. Here $p$ is the point such that $v in T_pM$. The expansion coefficients of $v$ with respect the chart's tangent basis are $dx^i(v)$.
– Steffen Plunder
Jul 22 at 11:59
Much appreciated!
– K. Sripathy
Jul 22 at 12:43
Thanks for the clarification. It makes more sense now that the expansion coefficient of co-vector is a function of the position in tangential vector space. I tend to get lost in the syntax for these expressions. Hypothetically, had it been a vector of expansion coefficients, would I represent it with $x^j$ in that case?
– K. Sripathy
Jul 22 at 11:47
Thanks for the clarification. It makes more sense now that the expansion coefficient of co-vector is a function of the position in tangential vector space. I tend to get lost in the syntax for these expressions. Hypothetically, had it been a vector of expansion coefficients, would I represent it with $x^j$ in that case?
– K. Sripathy
Jul 22 at 11:47
If you have a tangent vector $v in TM$, you could represent it with respect to a chart $x$ via $v = sum mu_i fracpartialpartial x^i = sum_i dx^i( v ) fracpartialpartial x^i$. A bit confusing, I know... So, if you want to get a (locally defined) chart $TM to mathbb R^2n$, it would be $mapsto left(x^1(p), dots x^n(p), dx^1(v), dots dx^n(v)right)$. Here $p$ is the point such that $v in T_pM$. The expansion coefficients of $v$ with respect the chart's tangent basis are $dx^i(v)$.
– Steffen Plunder
Jul 22 at 11:59
If you have a tangent vector $v in TM$, you could represent it with respect to a chart $x$ via $v = sum mu_i fracpartialpartial x^i = sum_i dx^i( v ) fracpartialpartial x^i$. A bit confusing, I know... So, if you want to get a (locally defined) chart $TM to mathbb R^2n$, it would be $mapsto left(x^1(p), dots x^n(p), dx^1(v), dots dx^n(v)right)$. Here $p$ is the point such that $v in T_pM$. The expansion coefficients of $v$ with respect the chart's tangent basis are $dx^i(v)$.
– Steffen Plunder
Jul 22 at 11:59
Much appreciated!
– K. Sripathy
Jul 22 at 12:43
Much appreciated!
– K. Sripathy
Jul 22 at 12:43
add a comment |Â
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