Understanding Vector Directional Derivatives

[Dinosaur]

I looked up the formula for \nabla \times (\vec{A} \times \vec{B}):

\nabla \times (\vec{A} \times \vec{B}) = \vec{A}(\nabla \cdot \vec{B}) - \vec{B}(\nabla \cdot \vec{A}) + (\vec{B} \cdot \nabla)\vec{A} - (\vec{A} \cdot \nabla)\vec{B}

What does a vector followed by a del mean? Mathworld says that in the context of a unit vector it's the directional derivative. It's unclear to me how this works because then you have a vector times a vector for the last two terms. Can someone please clarify how this works?

 

[Data]

Edit: IGNORE!

{\vec A} \cdot \nabla = \nabla \cdot {\vec A}.

The directional derivative is a scalar.

 

[Dinosaur]

Ah, ok. Dot products are commutative. Thanks.

 

[Galileo]

The expression (\vec A \cdot \vec \nabla ) is an operator, like \vec \nabla. It has to work on a vector. You can see what it does by treating \vec \nabla as a genuine vector:

\vec A \cdot \vec \nabla = A_x \frac{\partial}{\partial x}+A_y \frac{\partial}{\partial y}+ A_z\frac{\partial}{\partial z}

Ofcourse, you can always check it by writing out the components :P

 

[Data]

oops, yeah, I'm insane! Though I should note that it can actually also work on a scalar.

 

[dextercioby]

Here's the proof for that vector identity.

https://www.physicsforums.com/showthread.php?t=72623

Daniel.