What does the notation \vec A \cdot \vec\nabla \vec B mean in vector calculus?

In summary, (\vec{A}\cdot \vec\nabla) \vec B is an operator that represents the directional derivative of vector B along the direction of vector A. It can be defined as (\vec{A}\cdot \nabla)\vec{B}= \vec{A}\cdot (\nabla\vec{B}) in any coordinate system, and in Cartesian coordinates it is equivalent to A_x\frac{\partial B_x}{\partial x}+ A_y\frac{\partial B_y}{\partial y}+A_z\frac{\partial B_z}{\partial z}. This can also be seen as a definition of the vector gradient \nabla \vec{B}, which represents the
  • #1
tim_lou
682
1
what does
[tex]\left (\vec{A}\cdot \vec\nabla \right ) \vec B[/tex] mean?
 
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  • #2
There've been a few a threads recently on "A.del". You may want to search the forum.

In short, A.del is an operator

[tex]\vec{A}.\vec{\nabla} \equiv A_x\frac{\partial}{\partial x}+ A_y\frac{\partial}{\partial y}+A_z\frac{\partial}{\partial z}[/tex]
 
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  • #3
Specifically
[tex](\vec{A}\cdot \nabla)\vec{B}= \vec{A}\cdot (\nabla\vec{B})= A_x\frac{\partial B_x}{\partial x}+ A_y\frac{\partial B_y}{\partial y}+A_z\frac{\partial B_z}{\partial z}[/tex]
 
  • #4
How can vector multiplyed by scalar give scalar??
 
  • #5
HallsofIvy said:
Specifically
[tex](\vec{A}\cdot \nabla)\vec{B}= \vec{A}\cdot (\nabla\vec{B})= A_x\frac{\partial B_x}{\partial x}+ A_y\frac{\partial B_y}{\partial y}+A_z\frac{\partial B_z}{\partial z}[/tex]

Semo727 said:
How can vector multiplyed by scalar give scalar??

Do you mean HallsofIvy's? If so A_x, A_y, and A_z are vectors. Hence the whole thing is a vector.
 
  • #6
HallsofIvy made a mistake. The correct expression is:
[tex](\vec{A}\cdot\nabla)\vec{B}=A_{x}\frac{\partial\vec{B}}{\partial{x}}+A_{y}\frac{\partial\vec{B}}{\partial{y}}+A_{z}\frac{\partial\vec{B}}{\partial{z}}[/tex]
 
  • #7
And I also guess that [itex](\vec{A}\cdot\vec\nabla)\, \vec{B}\neq\vec{A}\,(\vec\nabla\cdot\vec{B})[/itex] since

[tex]\vec{A}\,(\vec\nabla\cdot\vec{B})=\vec{A}\,\frac{\partial B_x}{\partial x}+ \vec{A}\,\frac{\partial B_y}{\partial y}+\vec{A}\,\frac{\partial B_z}{\partial z}[/tex]
 
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  • #8
wait, hold on, so the correct result is arildno's? the operation gives you a vector..?
 
  • #9
tim_lou said:
wait, hold on, so the correct result is arildno's? the operation gives you a vector..?

I see we've turned mathematics into a democracy today. :rofl:

Yes, Arildno's explanation was the correct one.
 
  • #10
arunma said:
I see we've turned mathematics into a democracy today. :rofl:

Yes, Arildno's explanation was the correct one.
I WON!
:smile:
 
  • #11
Actually, I just screwed up the whole thing!
 
  • #12
interpretation

Sorry for butting in so late :blushing: , but I needed to expand on this subject. I’ll try and get to Tim-Lou’s question:

what does [tex]\left (\vec{A}\cdot \vec\nabla \right ) \vec B[/tex]mean?

but first, a few notes:

arildno said that

[tex](\vec{A}\cdot\nabla)\vec{B} = A_{x}\frac{\partial\vec{B}}{\partial{x}} + A_{y}\frac{\partial\vec{B}}{\partial{y}}+A_{z}\frac{\partial\vec{B}}{\partial{z}}[/tex]

This can be seen as a definition of [tex] \nabla \vec{B} [/tex] since HallsofIvy pointed out that [tex](\vec{A}\cdot \nabla)\vec{B}= \vec{A}\cdot (\nabla\vec{B}) [/tex] (even though my fluids mechanics teacher gave an explicit warning in class, after deriving the expression of the convective derivative, that [tex](\vec{A}\cdot \nabla)\vec{B}= \vec{A}\cdot (\nabla\vec{B}) [/tex] only for Cartesian Systems, and then in the following class happened to mention that this is true for any curvilinear orthogonal coordinate system (it's in my class notes, so I know he said it) . . . but that doesn’t make any sense to me, because an expression written in coordinate free notation cannot depend on a coordinate system, no? I'll assume that my teacher went through a moment of mental fogginess, though when I've tried to approach him on the subject he just refers me to the bibliography. In fact, I did do some research, and most books I've seen write [tex](\vec{A}\cdot \nabla)\vec{B}[/tex] instead of [tex] \vec{A}\cdot (\nabla\vec{B}) [/tex] though they don't make any refernce to the latter not being valid - except one book, which stated flatly that [tex](\vec{A}\cdot \nabla)\vec{B} \neq \vec{A}\cdot (\nabla\vec{B}) [/tex] but didn't offer any explanation, so I'm not going to believe that. So I was happy to see HallsofIvy's post).

So let [tex](\vec{A}\cdot \nabla)\vec{B}= \vec{A}\cdot (\nabla\vec{B}) [/tex] (valid, of course, in any coordinate system, as the coordinate-free notation suggests) - as I said, this can be viewed as a definition of [tex] \nabla \vec{B} [/tex] since we know how to compute [tex](\vec{A}\cdot \nabla)\vec{B} [/tex] from vector calculus, resulting in arildno's expression in Cartesian Coordinates (note that arildo's expression is ONLY valid for Cartsian Coordinates).

Now, if we restrict ourselves to Cartesian Coordinates, the derivative of a vector [tex]\vec{v}[/tex] with respect to the coordinates is given by

[tex]\frac{\partial\vec{v}}{\partial{x_i}} = \frac{\partial{v_j}}{\partial{x_i}} \vec{e_j}[/tex]​

where [tex]{\vec{e_i}} [/tex] are the standard Cartesian Basis Vectors.

Let [tex]\vec{v}(x,y,z) [/tex] represent a vector field. Remember that the differential of [tex]\vec{v}[/tex] is map that for a given [tex](\Delta{x},\Delta{y},\Delta{z}) \equiv \Delta{\vec{r}}[/tex] returns the linear part (in terms of [tex]\Delta{\vec{r}}[/tex]) of the increment [tex]\Delta{\vec{v}} \equiv \vec{v}(\vec{r}+\Delta\vec{r} ) - \vec{v}(\vec{r})[/tex], where [tex]\vec{r}[/tex] is the position vector. By definition, the differential of [tex]\vec{v}[/tex] is:

[tex]d\vec{v}= \frac{\partial\vec{v}}{\partial{x_i}} d{x_i} = \frac{\partial{v_j}}{\partial{x_i}} \vec{e_j} d{x_i} = d{x_i} \frac{\partial}{\partial{x_i}} ( v_j \vec{e_j}) = (d \vec{r} \cdot \nabla) \vec{v} = d \vec{r} \cdot \nabla \vec{v} [/tex]

That is, [tex]d \vec{r} \cdot \nabla \vec{v} = \Delta \vec{r} \cdot \nabla \vec{v} [/tex] (note that the differential of the independent variable is equal to its increment) is the linear part of [tex]\Delta \vec{v}[/tex], or, in other words, the derivative of [tex]\vec{v}[/tex] along [tex]\Delta \vec{r}[/tex].

Thus, [tex] \vec{a} \cdot \nabla \vec{b} [/tex] is the directional derivative of [tex]\vec{b}[/tex] along [tex]\vec{a} [/tex], that is, the linear part (in terms of [tex]a_i = \Delta x_i[/tex] ), of [tex]\Delta{\vec{b}} \equiv \vec{b}(\vec{r}+\Delta\vec{a} ) - \vec{b}(\vec{r})[/tex].

Note that some authors define the vector gradient [tex]\nabla \vec{v} [/tex] as the transpose of how we have defined it here - no biggie, only in that case the differential of [tex]\vec{v}[/tex] would be [tex] d\vec{v}= \nabla \vec{v} \cdot d \vec{r}[/tex], and the directional derivative of [tex]\vec{b}[/tex] would be [tex] \nabla \vec{b} \cdot \vec{a} [/tex] instead.

I'll be expanding on this topic in a separate thread, as I think the questions I have to ask would no longer fall under the object of the present thread.

~Bee
 
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  • #13
Hi Bee, welcome to PF. Are the you the same Bee that runs 'Backreaction'? :biggrin:
 
  • #14
Hi neutrino,
thank you! No, I'm a newbie bee to this and all other forums/blogs - I don't run anything. Just your average bee - please bear with me as I get lost sometimes.
~Bee
 

1. What is the purpose of vector calculus notation?

Vector calculus notation is used to represent and manipulate mathematical concepts related to vectors and vector fields. It allows for concise and efficient communication of complex mathematical ideas.

2. How is vector calculus notation different from regular calculus notation?

Vector calculus notation includes symbols and operators specifically designed to represent vector quantities, such as vectors, dot and cross products, and divergence and gradient operators. This differs from regular calculus notation, which primarily deals with scalar quantities.

3. What are some common vector calculus notations and their meanings?

Some common vector calculus notations include:
- (del) operator, which represents the gradient of a scalar or vector field
- · (dot) product, which represents the magnitude of the projection of one vector onto another
- × (cross) product, which represents the magnitude of the vector perpendicular to two given vectors
- (integral) symbol, which represents the area or volume under a vector field

4. How is vector calculus notation used in physics and engineering?

Vector calculus notation is used extensively in physics and engineering to describe and analyze physical phenomena and systems. It is especially useful in fields such as electromagnetism, fluid mechanics, and quantum mechanics.

5. Can vector calculus notation be translated into other mathematical notations?

Yes, vector calculus notation can be translated into other mathematical notations, such as matrix notation or index notation. This allows for different perspectives on the same mathematical concepts and can be helpful in solving complex problems.

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