Electrodynamics: Vector Calculus Question

In summary: And the distinction between the two is illustrated by the vector calculus identity$$\vec \nabla \times (\vec \nabla \times \vec A)=\vec \nabla(\vec \nabla \cdot \vec A)-\nabla^2 \vec A.$$
  • #1
majormuss
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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?
 

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  • #2
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.
 
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  • #3
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!
 
  • #4
$$\nabla(\nabla \cdot \vec v)$$
Is the OP pointing at the gradient of the divergence operation?
 
  • #5
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.
 
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  • #6
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.
 
  • #7
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,
$$\vec \nabla \cdot \vec \nabla \varphi =\left(\frac {\partial ^2}{\partial x^2} +\frac {\partial ^2}{\partial y^2}+\frac {\partial ^2}{\partial z^2} \right )\varphi.$$
 
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  • #8
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:
$$\nabla^2 \vec{A} = (\nabla^2 A_x) \hat{x} + (\nabla^2 A_y) \hat{y} + (\nabla^2 A_z) \hat{z}\ne \vec \nabla(\vec \nabla \cdot \vec A)$$
 
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  • #9
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
$$\vec \nabla \times (\vec \nabla \times \vec A)=\vec \nabla(\vec \nabla \cdot \vec A)-\nabla^2 \vec A.$$
 
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1. What is Electrodynamics?

Electrodynamics is a branch of physics that deals with the study of electric and magnetic fields, their interactions, and their effects on matter.

2. What is Vector Calculus?

Vector Calculus is a branch of mathematics that deals with the study of vector fields, their derivatives, and integrals. It is used in many areas of science and engineering, including electrodynamics.

3. How are Electrodynamics and Vector Calculus related?

Electrodynamics heavily relies on Vector Calculus for its mathematical framework. Vector calculus is used to describe and analyze the electric and magnetic fields, as well as their interactions with charged particles.

4. What are some common applications of Electrodynamics and Vector Calculus?

Electrodynamics and Vector Calculus have many practical applications, such as in the design of electronic circuits, electromagnetic devices, and communication systems. They are also used in the study of plasma physics, optics, and quantum mechanics.

5. What are some useful tools for solving Electrodynamics problems?

Some useful tools for solving Electrodynamics problems include Maxwell's equations, the divergence and curl operators, and various mathematical techniques from Vector Calculus, such as line integrals, surface integrals, and Stoke's theorem.

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