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Suppose we have a one-form \alpha having a skew-symmetric total derivative matrix. I mean something like \alpha(x,y) = -y dx + x dy, that is, in canonical (x, y, \xi, \eta) coordinates of the cotangent bundle, \alpha(x,y) = (x, y, -y , x ).
The "total derivate matrix" I mean
\left(\begin{array}{c} -b \\ a \end{array} \right) = \left( \begin{array}{cc} 0 & -1 \\ 1 & 0 \end{array} \right) \left(\begin{array}{c} a \\ b \end{array}\right)
A bit more generally, if our 1-form is \alpha(x,y) = \xi(x,y) dx + \eta(x,y) dy then the "total derivative matrix" is D\alpha = \left( \begin{array}{cc} \frac{\partial \xi}{\partial x} & \frac{\partial \xi}{\partial y} \\ \frac{\partial \eta}{\partial x} & \frac{\partial \eta}{\partial y} \end{array} \right).
This matrix can always decompose into the sum of its symmetric and antisymmetric parts, where the symmetric and antisymmetric parts are
S = \frac{1}{2} \left( \begin{array}{cc} 2\frac{\partial \xi}{\partial x} & \frac{\partial \xi}{\partial y} + \frac{\partial \eta}{\partial x} \\ \frac{\partial \eta}{\partial x} + \frac{\partial \xi}{\partial y} & 2\frac{\partial \eta}{\partial y} \end{array} \right) and A = \frac{1}{2} \left( \begin{array}{cc} 0 & \frac{\partial \xi}{\partial y} - \frac{\partial \eta}{\partial x} \\ \frac{\partial \eta}{\partial x} - \frac{\partial \xi}{\partial y} & 0 \end{array} \right) respectivelly. If D\alpha is itself symmetric then D\alpha = S, while when it is antisymmetric (as in our previous example), then D\alpha = A.
The exterior derivative of \alpha is d \alpha= -\frac{\partial \xi}{\partial y} dx\wedge dy + \frac{\partial \eta}{\partial x} dx\wedge dy = (-\frac{\partial \xi}{\partial y} + \frac{\partial \eta}{\partial x}) dx\wedge dy.
This is just the twice of the negative of the bilinear form represented by matrix A. In the special case when D\alpha is antisymmetric, then this holds for D\alpha, i.e for the total derivative matrix itself.
My questions:
1. Is this accidental, or there is a deeper geometrical interconnection between the total derivative matrix and the exterior derivative?
2. Does the matrix S also have any meaning in the world of forms?
The "total derivate matrix" I mean
D\alpha = \left( \begin{array}{cc} 0 & -1 \\ 1 & 0 \end{array} \right)
because the tangent mapping of \alpha is
a \frac{\partial}{\partial x} + b\frac{\partial}{\partial y} \mapsto a \frac{\partial}{\partial x} + b \frac{\partial}{\partial y} -b \frac{\partial}{\partial \xi} + a \frac{\partial}{\partial \eta}
and the projection of this vector on the \{\frac{\partial}{\partial x}, \frac{\partial}{\partial y} \} plane is always a \frac{\partial}{\partial x} + b\frac{\partial}{\partial y}
itself (independently of \alpha), while the projection on the \{ \frac{\partial}{\partial \xi}, \frac{\partial}{\partial \eta} \} plane is -b \frac{\partial}{\partial \xi} + a \frac{\partial}{\partial \eta},
that is, in column vector representation :
\left(\begin{array}{c} -b \\ a \end{array} \right) = \left( \begin{array}{cc} 0 & -1 \\ 1 & 0 \end{array} \right) \left(\begin{array}{c} a \\ b \end{array}\right)
A bit more generally, if our 1-form is \alpha(x,y) = \xi(x,y) dx + \eta(x,y) dy then the "total derivative matrix" is D\alpha = \left( \begin{array}{cc} \frac{\partial \xi}{\partial x} & \frac{\partial \xi}{\partial y} \\ \frac{\partial \eta}{\partial x} & \frac{\partial \eta}{\partial y} \end{array} \right).
This matrix can always decompose into the sum of its symmetric and antisymmetric parts, where the symmetric and antisymmetric parts are
S = \frac{1}{2} \left( \begin{array}{cc} 2\frac{\partial \xi}{\partial x} & \frac{\partial \xi}{\partial y} + \frac{\partial \eta}{\partial x} \\ \frac{\partial \eta}{\partial x} + \frac{\partial \xi}{\partial y} & 2\frac{\partial \eta}{\partial y} \end{array} \right) and A = \frac{1}{2} \left( \begin{array}{cc} 0 & \frac{\partial \xi}{\partial y} - \frac{\partial \eta}{\partial x} \\ \frac{\partial \eta}{\partial x} - \frac{\partial \xi}{\partial y} & 0 \end{array} \right) respectivelly. If D\alpha is itself symmetric then D\alpha = S, while when it is antisymmetric (as in our previous example), then D\alpha = A.
The exterior derivative of \alpha is d \alpha= -\frac{\partial \xi}{\partial y} dx\wedge dy + \frac{\partial \eta}{\partial x} dx\wedge dy = (-\frac{\partial \xi}{\partial y} + \frac{\partial \eta}{\partial x}) dx\wedge dy.
This is just the twice of the negative of the bilinear form represented by matrix A. In the special case when D\alpha is antisymmetric, then this holds for D\alpha, i.e for the total derivative matrix itself.
My questions:
1. Is this accidental, or there is a deeper geometrical interconnection between the total derivative matrix and the exterior derivative?
2. Does the matrix S also have any meaning in the world of forms?
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