So, the property is not applicable to this problem.

In summary, the problem involves verifying the identity and using the property from the textbook, but the property does not work due to the nature of the Del operator. The correct solution involves using the product rule and converting between cartesian and polar coordinates.
  • #1
Nat3
69
0

Homework Statement


[tex]\vec r = <x, y, z>, r = \left | \vec r \right |[/tex]

The problem is, verify the identity:

[tex]\nabla \cdot (r\vec r) = 4r[/tex]


Homework Equations


My book has the following property:
[tex](c\vec a)\cdot \vec b = c(\vec a \cdot \vec b)[/tex]


The Attempt at a Solution



I tried using the above property to rewrite the problem as:
[tex]r(\nabla \cdot\vec r)[/tex]

But that gives 3r and the correct answer is 4r.

Why does the property not work? How should I correctly solve the problem?

Thanks for your advice.
 
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  • #2
You need to use the product rule.
[tex]
r \vec r
[/tex] is <sqrt(x^2+y^2+z^2)x,sqrt(x^2+y^2+z^2)y,sqrt(x^2+y^2+z^2)z>. You need to use the product rule to evaluate the divergence. Equivalently div(r vec r)=grad(r).vec r+r*div(vec r). Sorry about my bad TeX skills. But you are missing the first term.
 
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  • #3
Have you tried writing the equation out in cartesian coordinates, do the deravative, and work back to polar coordinates again?
 
  • #4
But why doesn't the property from my textbook work? I understand that the way Dick did it, distributing the r inside the vector, I would need to use the product rule when differentiating, but according to the property I listed I shouldn't have to do that.

I'm really confused!
 
  • #5
Nat3 said:
But why doesn't the property from my textbook work? I understand that the way Dick did it, distributing the r inside the vector, I would need to use the product rule when differentiating, but according to the property I listed I shouldn't have to do that.

I'm really confused!

I'm afraid that the Del operator and indeed derivation in general do not simply comply with your property.
The Del operator may be written as a vector, and in a number of aspects it behaves like one, but in this case it doesn't.

More specifically, you cannot bring a factor outside of a derivation, if that factor is relevant to derivation (that is, not a constant).
 

FAQ: So, the property is not applicable to this problem.

What is the dot product and how is it calculated?

The dot product, also known as the scalar product, is a mathematical operation that takes two vectors and returns a scalar value. It is calculated by multiplying the corresponding components of the two vectors and then adding the products together.

What is the purpose of the dot product?

The dot product has several applications in mathematics and science. It can be used to calculate the angle between two vectors, determine the projection of one vector onto another, and solve equations in physics and engineering.

How does the dot product differ from the cross product?

The dot product and the cross product are both operations performed on two vectors, but they have different results. While the dot product returns a scalar value, the cross product returns a vector that is perpendicular to both of the original vectors.

Can the dot product be negative?

Yes, the dot product can be negative. This occurs when the angle between the two vectors is greater than 90 degrees. In this case, the dot product represents the projection of one vector onto the other in the opposite direction.

Is the dot product commutative?

No, the dot product is not commutative. This means that the order of the vectors matters when calculating the dot product. Switching the order of the vectors will result in a different value for the dot product.

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