I have some cumbersome with derivative problems

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Discussion Overview

The discussion revolves around the differences between two vector calculus expressions involving the nabla operator: \((\vec{a} \times \nabla) \times \vec{b}\) and \((\nabla \times \vec{a}) \times \vec{b}\). Participants explore the implications of the nabla operator's directionality and its effects on the vectors involved, as well as related identities in vector calculus.

Discussion Character

  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • One participant notes the difference in how the nabla operator acts on the vectors in the two expressions, emphasizing that it acts to the right.
  • Another participant introduces an identity that relates the two expressions, highlighting that they involve different vectors being operated on.
  • A later reply points out that the first identity mentioned does not have a widely recognized name, but it serves to illustrate the differences in vector operations.
  • There is a comparison made to single-variable calculus, where the order of operations affects the outcome, suggesting a similar principle applies in vector calculus.

Areas of Agreement / Disagreement

Participants express differing levels of familiarity with the operations discussed, and while some clarify the implications of the nabla operator, there is no consensus on the naming of the identities or the broader implications of the expressions.

Contextual Notes

Some participants express uncertainty about the terminology and the specific identities involved, indicating a need for clearer definitions and references.

fdbjruitoirew
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I am confronting with how to realize the difference between two formulae belows
[itex]\left( {\vec a \times \nabla } \right) \times \vec b[/itex], and [itex]\left( {\nabla \times \vec a} \right) \times \vec b[/itex], in here
[itex]\nabla[/itex] is Del (also known as nabla)
Thanks
 
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Why these results are so different in formulae
 
Ah yes recall that
$$(\vec{a}\cdot \nabla)\vec{b}+\vec{a} \times (\nabla \times \vec{b})=\vec{a}(\nabla \cdot \vec{b})+(\vec{a} \times \nabla) \times \vec{b}$$

By convention the nabla operator acts to the right. For this reason we must be careful. In your formula
$$(\vec{a} \times \nabla )\times \vec{b}$$
Since nabla acts to the right it acts on b and not a
The left acting nabla would act on a and not b
$$(\vec{a} \times \overset{\leftarrow}{\nabla} )\times \vec{b}$$
This is nonstandard notation, but we can write it as
$$-(\nabla \times \vec{a} ) \times \vec{b}=\vec{b} \times (\nabla \times \vec{a} )$$
which is your second formula (with a minus sign)
The sum of the left and right forms is the bidirectional form
$$(\vec{a} \times \overset{\leftrightarrow}{\nabla} )\times \vec{b}=(\vec{a} \times \nabla )\times \vec{b}+\vec{b} \times (\nabla \times \vec{a} )$$
This is useful when you get to integrals because you will have
$$\int_{\partial V} (\vec{a} \times n )\times \vec{b} \, \mathrm{d}S=\int_V ((\vec{a} \times \nabla )\times \vec{b}+\vec{b} \times (\nabla \times \vec{a} )) \, \mathrm{d}V$$
Where we change a surface integral into a volume integral.

The short version if any of that was confusing is that since nabla acts to the right it acts on a and not b in one formula and b and not a in the other, they are very different.
 
I am new and unfamiliar with these operation, so what is the name of the first identity you wrote, then I could look up online for reference
thank you
 
I don't know if that identity has a name. I brought it up to illustrate that
$$( {\vec a \times \nabla } ) \times \vec b \text{ and } ( {\nabla \times \vec a} ) \times \vec b$$
have different vectors being operated on while
$$( {\vec a \times \nabla } ) \times \vec b \text{ and } ( {\nabla \times \vec b} ) \times \vec a$$
have the same vector being operated on
These two forms arise in the gradient of dot product identity
$$\nabla_\vec{b} (\vec{a} \cdot \vec{b})=(\vec{a}\cdot \nabla)\vec{b}+\vec{a} \times (\nabla \times \vec{b})=\vec{a}(\nabla \cdot \vec{b})+(\vec{a} \times \nabla) \times \vec{b}$$
The nabla subscript b means that a is not operated on.

In your original question the key point was that one expression had a being operated on while the other had b being operated on. This is similar to in single variable calculus if we have
(D indicates the derivative)
D(uv)=uDv+vDu
uDv and vDu are not equal because
in uDv
v is being operated on while u is not
and
in vDu
u is being operated on while v is not

http://en.wikipedia.org/wiki/Vector_calculus_identities
Does not include the identity I mention, but it includes others that may be of interest.
 

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