How is the Gradient of a Dot Product Correctly Calculated?

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The calculation of the gradient of a dot product yields the result (2xz + z^2, 3y^2, x^2 + 2xz), which is confirmed as correct. However, using the formula for the operator (B · ∇)A leads to a different answer, causing confusion among participants. The discussion clarifies that (B · ∇)A represents a differential operator acting on each component of A, and the notation can be perplexing. The term "Material Derivative" is incorrectly used in the context, as it specifically refers to derivatives along a velocity field. Ultimately, the correct interpretation of the operations leads to the expected gradient result.
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Homework Statement
$$A = (x^2, y^2, z^2)$$
$$B = (z, y, x)$$

Calculate $$grad(A \cdot B)$$
Relevant Equations
$$\nabla (A \cdot B) = (B \cdot \nabla)A + (A \cdot \nabla)B + B \times (\nabla \times A) + A \times (\nabla \times B)$$
Calculating dot product then doing gradient on it gets you:
$$(2xz + z^2, 3y^2, x^2 + 2xz)$$
which is the correct answer.

Using the formula, which you're required to do, gets a whole different answer.
Lets do each term individually.
##(B \cdot \nabla)A##
$$(B \cdot \nabla) = 1$$

## (A \cdot \nabla)B##
$$(A \cdot \nabla) = 2(x + y + z)$$

For the cross product terms, ##(\nabla \times A)## and ##(\nabla \times B)## both gets you the zero vector, which cross with anything still just gives zero.

So you're left with
$$1A + 2(x + y + z)B = (x^2 + 2xz + 2yz +2z^2, 2xy + 3y^2 + 2yz, 2x^2 + 2xy + 2xz + z^2)$$

Which is nothing like the answer. I've recalculated every single piece of this equation 10 times and I can testify that the equation given in Relevant Equations is false.
 
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What makes you think that ##\vec B\cdot\nabla=1##? It should be a differential operator.

Edit: Note that it is not ##\nabla
\cdot \vec B##, which is equal to one.
 
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Addez123 said:
##(B \cdot \nabla)A##
$$(B \cdot \nabla) = 1$$

(B \cdot \nabla)A means B_x \frac{\partial A}{\partial x} + B_y\frac{\partial A}{\partial y} + B_z \frac{\partial A}{\partial z}.
 
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pasmith said:
(B \cdot \nabla)A means B_x \frac{\partial A}{\partial x} + B_y\frac{\partial A}{\partial y} + B_z \frac{\partial A}{\partial z}.
well that's a confusing use of parentheses.
 
Addez123 said:
well that's a confusing use of parentheses.

We’ll get used to it. If you are going into physics you’re going to need it.For instance the force on an electric dipole ##\vec{p}## is ## \vec{F} = \left( \vec{p} \cdot \nabla \right) \vec{E}## where ##\vec{E}## is the external field that the dipole is immersed in.

But yeah it is perplexing when you first come across it. You’re unlikely to come across it in a first multivariable calculus class. I’d bet money you’re doing Griffiths E&M now.
 
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You apply the expression ## \vec{p} \cdot \nabla## to each component of ##\vec{E}##

I believe this expression in general is called the “Material Derivative”
 
pasmith said:
(B \cdot \nabla)A means B_x \frac{\partial A}{\partial x} + B_y\frac{\partial A}{\partial y} + B_z \frac{\partial A}{\partial z}.
are you sure its not
$$(B \cdot \nabla)A = (B_x \frac{\partial A}{\partial x} , B_y\frac{\partial A}{\partial y} , B_z \frac{\partial A}{\partial z})$$
?
Because the answer is suppose to be a vector.

@PhDeezNutz not doing Griffiths rn, but good guess! :p
Funny fact I've completed electro magnetic course with almost an A, but it was years ago and I never actually passed the vector.
 
Addez123 said:
Because the answer is suppose to be a vector.
If ##A## is a vector then so is ##\partial A/\partial x## etc.

Addez123 said:
well that's a confusing use of parentheses.
Not as confusing as having differential operators acting to the left …
 
PhDeezNutz said:
I believe this expression in general is called the “Material Derivative”
It is not. The material derivative is the derivative of some quantity along the flow of some velocity field ##\vec u## and is given by
$$
\frac D{Dt} = \partial_t + \vec u \cdot \nabla
$$
 
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  • #10
@Addez123

The full expression for ##\left( \vec{A} \cdot \nabla \right) \vec{B} ## is the following

##\left( \vec{A} \cdot \nabla \right) \vec{B} = \left( A_x \frac{\partial }{\partial x} + A_y \frac{\partial }{\partial y} + A_z \frac{\partial }{\partial z} \right) \left( B_x, B_y, B_z \right)##

Distributing that entire operation over each of the components

##\left( \vec{A} \cdot \nabla \right) \vec{B} = \left( A_x \frac{\partial B_x}{\partial x} + A_y \frac{\partial B_x }{\partial y} + A_z \frac{\partial B_x}{\partial z} , A_x \frac{\partial B_y}{\partial x} + A_y \frac{\partial B_y }{\partial y} + A_z \frac{\partial B_y}{\partial z} , A_x \frac{\partial B_z}{\partial x} + A_y \frac{\partial B_z }{\partial y} + A_z \frac{\partial B_z}{\partial z} \right)##
 
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  • #11
Thanks a ton, just figured that out and now I get the correct answer.
Thanks! :)
 
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  • #12
Orodruin said:
It is not. The material derivative is the derivative of some quantity along the flow of some velocity field ##\vec u## and is given by
$$
\frac D{Dt} = \partial_t + \vec u \cdot \nabla
$$

I guess someone on wiki messed up

https://en.wikipedia.org/wiki/Del_in_cylindrical_and_spherical_coordinates

69ED9F9E-EB3D-4535-A0E2-2EBC207772CC_4_5005_c.jpeg


Yup they did, it's called the convective operator apparently.
 
  • #13
o,i calculate this way:
p =A \cdot B =x^2z+y^3+z^2x,
the answer should be Jacobian
(\frac{\partial p}{\partial x},\frac{\partial p}{\partial y},\frac{\partial p}{\partial z})
=(2xz+z^2,3y^2,x^2+2xz)
 
  • #14
alex_Hou said:
o,i calculate this way:
p =A \cdot B =x^2z+y^3+z^2x,
This was done in the OP already.
 

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