Electrodynamics: Vector Calculus Question

Click For Summary
The discussion centers on the distinction between the operations of the Del operator in vector calculus, specifically why the expression $$\nabla(\nabla \cdot \vec{A})$$ does not simplify to $$\nabla^2$$. It emphasizes that $$\nabla(\nabla \cdot \vec{A})$$ results in a vector, while $$\nabla^2$$, or the Laplacian, operates on a scalar and yields a scalar result. Participants clarify that the two operations are fundamentally different, with one acting on vectors and the other on scalars. The conversation also references common vector calculus texts for further explanation of these concepts. Understanding this distinction is crucial for correctly applying vector calculus in electrodynamics.
majormuss
Messages
124
Reaction score
4
Homework Statement
Please see attached screenshot. Why are the red circled Del operators not combining to give a net result of 0?
Relevant Equations
Vector Calculus
Why are the red circled Del operators not combining to become 'Del-squared' to cancel out the second term to give a net result of 0?
 

Attachments

  • Question.jpg
    Question.jpg
    47.4 KB · Views: 542
Physics news on Phys.org
Because $$\nabla(\nabla. ) \neq (\nabla.\nabla = \nabla^2) $$

Alternatively,the red circled termed is vector whereas ##\nabla^2 ## is scalar called Laplacian.

This thing you can find in almost all Basic Vector Calculus books.
 
  • Like
Likes Delta2, JD_PM, majormuss and 1 other person
Abhishek11235 said:
Because $$\nabla(\nabla. ) \neq (\nabla.\nabla = \nabla^2) $$

Alternatively,the red circled termed is vector whereas ##\nabla^2 ## is scalar called Laplacian.

This thing you can find in almost all Basic Vector Calculus books.
Thanks!
 
$$\nabla(\nabla \cdot \vec v)$$
Is the OP pointing at the gradient of the divergence operation?
 
JD_PM said:
$$\nabla(\nabla \cdot \vec v)$$
Is the OP pointing at the gradient of the divergence operation?
yea. Sorry, I only just saw this.
 
  • Informative
Likes JD_PM
Abhishek11235 said:
Because $$\nabla(\nabla. ) \neq (\nabla.\nabla = \nabla^2) $$

Alternatively,the red circled termed is vector whereas ##\nabla^2 ## is scalar called Laplacian.

This thing you can find in almost all Basic Vector Calculus books.
Could you please cite a page number or section from an online page where that distinction is fully explained? I thought I understood it what you meant but I am still getting tripped up.
 
There is a basic difference between the two, one operates on a vector and the result is a vector,
$$\vec \nabla(\vec \nabla \cdot \vec A)=\left(\frac {\partial}{\partial x} ~\hat x+\frac {\partial}{\partial y} ~\hat y+\frac {\partial}{\partial z} ~\hat z \right )\left(\frac {\partial A_x}{\partial x} +\frac {\partial A_y}{\partial y}+\frac {\partial A_z}{\partial z} \right ).$$The other operates on a scalar and the result is a scalar,
$$\vec \nabla \cdot \vec \nabla \varphi =\left(\frac {\partial ^2}{\partial x^2} +\frac {\partial ^2}{\partial y^2}+\frac {\partial ^2}{\partial z^2} \right )\varphi.$$
 
  • Like
Likes majormuss, Abhishek11235, JD_PM and 1 other person
kuruman said:
There is a basic difference between the two, one operates on a vector and the result is a vector,
$$\vec \nabla(\vec \nabla \cdot \vec A)=\left(\frac {\partial}{\partial x} ~\hat x+\frac {\partial}{\partial y} ~\hat y+\frac {\partial}{\partial z} ~\hat z \right )\left(\frac {\partial A_x}{\partial x} +\frac {\partial A_y}{\partial y}+\frac {\partial A_z}{\partial z} \right ).$$The other operates on a scalar and the result is a scalar,
$$\vec \nabla \cdot \vec \nabla \varphi =\left(\frac {\partial ^2}{\partial x^2} +\frac {\partial ^2}{\partial y^2}+\frac {\partial ^2}{\partial z^2} \right )\varphi.$$

To add to this. In the attached example, ##\nabla^2## is actually acting on a vector. In this case, by definition:
$$\nabla^2 \varphi = \vec \nabla \cdot \vec \nabla \varphi =\left(\frac {\partial ^2}{\partial x^2} +\frac {\partial ^2}{\partial y^2}+\frac {\partial ^2}{\partial z^2} \right )\varphi.$$
And, also by definition:
$$\nabla^2 \vec{A} = (\nabla^2 A_x) \hat{x} + (\nabla^2 A_y) \hat{y} + (\nabla^2 A_z) \hat{z}\ne \vec \nabla(\vec \nabla \cdot \vec A)$$
 
  • Like
Likes majormuss, kuruman, Abhishek11235 and 1 other person
PeroK said:
To add to this. In the attached example, ##\nabla^2## is actually acting on a vector. In this case, by definition:
$$\nabla^2 \varphi = \vec \nabla \cdot \vec \nabla \varphi =\left(\frac {\partial ^2}{\partial x^2} +\frac {\partial ^2}{\partial y^2}+\frac {\partial ^2}{\partial z^2} \right )\varphi.$$
And, also by definition:
$$\nabla^2 \vec{A} = (\nabla^2 A_x) \hat{x} + (\nabla^2 A_y) \hat{y} + (\nabla^2 A_z) \hat{z}\ne \vec \nabla(\vec \nabla \cdot \vec A)$$
And the distinction between the two is illustrated by the vector calculus identity
$$\vec \nabla \times (\vec \nabla \times \vec A)=\vec \nabla(\vec \nabla \cdot \vec A)-\nabla^2 \vec A.$$
 
  • Like
Likes Abhishek11235 and PeroK

Similar threads

  • · Replies 3 ·
Replies
3
Views
4K
  • · Replies 26 ·
Replies
26
Views
6K
  • · Replies 9 ·
Replies
9
Views
2K
Replies
1
Views
3K
  • · Replies 5 ·
Replies
5
Views
3K
  • · Replies 9 ·
Replies
9
Views
1K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 2 ·
Replies
2
Views
1K
  • · Replies 5 ·
Replies
5
Views
2K
  • · Replies 10 ·
Replies
10
Views
2K