I have the following property which says:
$∇ × (f G) = ∇f × G + f (∇ × G)$
Where $f$ is a differentiable function in an open set $S$ on $\mathbb {R}^3$ , and $G$ is a $C^1$ class vector field on $S$
I can't wrap my mind around where should I start for proving it, since I don't know how to do, from the left side, the curl of a product of a given function and a vector field (the $f G$ part)
From the right side, I don't know what $∇f × G $ means , while I guess that $f (∇ × G)$ is the function of the curl of G
Any hints or even solutions are welcome. I'm a bit green on this...
Solved:
$∇f×G$=$(\frac{∂f}{∂x},\frac{∂f}{∂y},\frac{∂f}{∂z}) × (G_1,G_2, G_3)=(\frac{∂f}{∂y}G3-\frac{∂f}{∂z}G2,\frac{∂f}{∂z}G1-\frac{∂f}{∂x}G3,\frac{∂f}{∂x}G2-\frac{∂f}{∂y}G1)$ ,
$f(∇×G)=f((\frac{∂G3}{∂y}-\frac{∂G2}{∂z},\frac{∂G1}{∂z}-\frac{∂G3}{∂x},\frac{∂G2}{∂x}-\frac{∂G1}{∂y})$ , (which to be expanded, ending up with the equivalent of the above with $f$ and $G_x$ "switched")
and on the left side:
$∇×(fG)=(\frac{∂fG3}{∂y}-\frac{∂fG2}{∂z},\frac{∂fG1}{∂z}-\frac{∂fG3}{∂x},\frac{∂fG2}{∂x}-\frac{∂fG1}{∂y})$, (which is to be expanded with the product rule)
From the left, the product $fG$ is still a vector field, so if you know how to calculate curls, go right ahead, since $f$ just scales the components of $G.$
On the right, $\nabla f×G$ is the cross between the gradient of $f$ (a vector by definition), and $G,$ also a vector, both three-dimensional, so the product is defined; also, $f(\nabla × G)$ is just $f,$ a scalar field, times the curl of $G,$ a vector. This is also defined. So you have two vectors on the right summing to the vector on the left.
As for proving, just go component wise; it might be easier working from right to left.
Finally, note that this can be remembered easily by the analogous Leibniz rule in single-variable calculus for differentiating the product of two functions.