Curl in terms of "fractional" notation

In summary, the first equation defines the norm of a matrix as its determinant and shows how it can be written using a wedge product. The second equation is a lengthy way of calculating the trace of a matrix, and the third equation explains how the curl can be expressed in terms of the determinant of a specific matrix.
  • #1
Bruno Tolentino
97
0
See these equations:
[tex]
\left | \frac{d \vec{f}}{d \vec{r}} \right | = \left | \frac{d(f_1,f_2)}{d(x,y)} \right | =
\frac{\partial f_1 \wedge \partial f_2}{\partial x \wedge \partial y}
=
\left |
\begin{bmatrix}
\frac{\partial f_1}{\partial x} & \frac{\partial f_1}{\partial y} \\
\frac{\partial f_2}{\partial x} & \frac{\partial f_2}{\partial y} \\
\end{bmatrix}
\right | = \frac{\partial f_1}{\partial x}\frac{\partial f_2}{\partial y} - \frac{\partial f_1}{\partial y} \frac{\partial f_2}{\partial x}
[/tex]

[tex]
\vec{\nabla} \cdot \vec{f} = \text{tr}\left ( \frac{d \vec{f}}{d \vec{r}} \right )
=
\text{tr}\left ( \begin{bmatrix}
\frac{\partial f_1}{\partial x} & \frac{\partial f_1}{\partial y} \\
\frac{\partial f_2}{\partial x} & \frac{\partial f_2}{\partial y} \\
\end{bmatrix} \right )
=
\frac{\partial f_1}{\partial x} + \frac{\partial f_2}{\partial y}
[/tex]
Realize how in the second equation I could to write the divergence in terms of df/dr. Now, what I want do is express the curl through of notation df/dr. Note that although of the first equation recall the expression of curl, is not the curl... Do you can help me with this?
 
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  • #2
I am a little vague on your first equation. It appears that you have defined the norm of a matrix to be its determinant. Is that what you intended? Also, the form in the middle of your first equation where you have a wedge product on the top and a wedge product on the bottom is kind of weird.

Your second equation seems unduly cumbersome. It seems you are calculating (or at least referencing) the off-diagonal elements only to drop them. Why not just use the fact that you have a dot product defined in a perfectly straight forward fashion.

The curl needs three dimensions. You can use a determinant as a sort of memory aid if you want. The first row in the matrix consists of the unit vectors in the three coordinate directions. The second row consists of the partial derivative operators for x, y, and z. And the third row consists of the components of the vector field you will take the curl of. Then you take the determinant of this matrix.
 
  • #3
I'll rewrite the 1st equation for you understand:
[tex]
\text{det} \left ( \frac{d \vec{f}}{d \vec{r}} \right ) = \text{det} \left ( \frac{d(f_1,f_2)}{d(x,y)} \right ) =
\frac{\partial f_1 \wedge \partial f_2}{\partial x \wedge \partial y}
=
\text{det} \left (
\begin{bmatrix}
\frac{\partial f_1}{\partial x} & \frac{\partial f_1}{\partial y} \\
\frac{\partial f_2}{\partial x} & \frac{\partial f_2}{\partial y} \\
\end{bmatrix}
\right ) = \frac{\partial f_1}{\partial x}\frac{\partial f_2}{\partial y} - \frac{\partial f_1}{\partial y} \frac{\partial f_2}{\partial x}
[/tex]
 

FAQ: Curl in terms of "fractional" notation

What is the definition of curl in fractional notation?

The curl of a vector field in fractional notation is defined as the partial derivatives of the vector field with respect to its components in each coordinate direction.

How is curl expressed in fractional notation?

Curl is typically expressed as a vector, with each component representing the partial derivative in the corresponding coordinate direction.

How does fractional notation differ from traditional notation in expressing curl?

Fractional notation explicitly shows the partial derivatives in each coordinate direction, while traditional notation combines them into a single expression.

Can fractional notation be used to calculate curl in different coordinate systems?

Yes, fractional notation can be used to calculate curl in any coordinate system, as long as the partial derivatives are taken with respect to the appropriate coordinate directions.

How is curl related to the circulation of a vector field?

Curl is mathematically equivalent to the circulation of a vector field, which is the line integral of the vector field around a closed loop. In fractional notation, curl is the limit of the circulation divided by the area of the loop as the loop shrinks to a point.

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