Rotational in terms of vector calculus

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The discussion focuses on expressing the concept of rotational, specifically curl, in terms of vector calculus. The user highlights various definitions such as Jacobian, Hessian, Gradient, Divergence, and Laplacian, illustrating their matrix representations. They seek clarification on whether curl can similarly be expressed using vector or matrix calculus. The conversation emphasizes the importance of understanding these mathematical concepts in a unified framework. Ultimately, the user is looking for a clear expression of curl in the context of vector calculus.
Jhenrique
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Hellow!

I was noting that several definitions are, in actually, expressions of vector calculus, for example:

Jacobian:
\frac{d\vec{f}}{d\vec{r}}=\begin{bmatrix} \frac{df_1}{dx} & \frac{df_1}{dy} \\ \frac{df_2}{dx} & \frac{df_2}{dy} \\ \end{bmatrix}
Hessian:
\frac{d^2f}{d\vec{r}^2} = \begin{bmatrix} \frac{d^2f}{dxdx} & \frac{d^2f}{dydx}\\ \frac{d^2f}{dxdy} & \frac{d^2f}{dydy}\\ \end{bmatrix}
Gradient:
\frac{df}{d\vec{r}}=\begin{bmatrix} \frac{df}{dx} & \frac{df}{dy} \end{bmatrix}
Divergence:
trace\left ( \frac{d\vec{f}}{d\vec{r}} \right ) = trace \left ( \begin{bmatrix} \frac{df_1}{dx} & \frac{df_1}{dy} \\ \frac{df_2}{dx} & \frac{df_2}{dy} \\ \end{bmatrix} \right )
Laplacian:
trace\left ( \frac{d^2f}{d\vec{r}^2} \right ) = trace \left ( \begin{bmatrix} \frac{d^2f}{dxdx} & \frac{d^2f}{dydx}\\ \frac{d^2f}{dxdy} & \frac{d^2f}{dydy}\\ \end{bmatrix} \right )

However, still remained a doubt, is possible to express the rotational in terms of vector/matrix calculus, like above?
 
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OMG! I forgot that in english you do not speak "rotational" and yes "curl". My question is wrt curl ...
 
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