Calculus: I can't understand why curl of gradient of a scalar is zero

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SUMMARY

The discussion centers on the mathematical properties of vector calculus, specifically the assertion that the curl of the gradient of a scalar function is zero. Participants confirm that this is a definitive property of conservative vector fields, which are characterized by having zero curl. Additionally, they clarify that the divergence of the curl of a vector function is also zero, while the gradient of the divergence of a vector function is not necessarily zero. The conversation emphasizes the importance of understanding these concepts in the context of electromagnetism and vector calculus.

PREREQUISITES
  • Understanding of vector calculus concepts such as curl, gradient, and divergence.
  • Familiarity with scalar and vector fields.
  • Knowledge of conservative vector fields and their properties.
  • Basic principles of electromagnetism, particularly Gauss's law.
NEXT STEPS
  • Study the mathematical proof of why the curl of the gradient of a scalar function is zero.
  • Explore the properties of conservative vector fields in more detail.
  • Learn about the implications of Gauss's law in vector calculus.
  • Investigate solenoidal vector fields and their characteristics.
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Students and professionals in mathematics, physics, and engineering who are looking to deepen their understanding of vector calculus and its applications in electromagnetism.

chingcx
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(Sorry, the title should read "...why curl of gradient of a scalar "function" is zero)

Of course I know how to compute curl, graident, divergence. Algebrically I know curl of gradient of a scalar function is zero.

But I want to know the reason behind this...and also the reason why gradient of divergence of a vector function is always zero.

This really makes me feeling bad for a long time. Thanks in advance.
 
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The gradient of a scalar function would always give a conservative vector field. Now think carefully about what curl is. If you've done an E&M course with vector calculus, think back to the time when the textbook (or your course notes) derived \nabla \times \mathbf{H} = \mathbf{J} using Ampere's circuital law. What is the closed path integral of a conservative field?

I'm wondering about your second question too...
 
chingcx said:
But I want to know the reason behind this...and also the reason why gradient of divergence of a vector function is always zero.

Is this true? In Gauss's law, the divergence of the electric field is to equal an arbitrary charge density. I would be surprised if the gradient of an arbitrary charge density is zero.
 
\nabla(\nabla \cdot \vec F) = 0

is certainly false. I think you mean

\nabla \cdot (\nabla \times \vec F) = 0

which is true.
 
chingcx said:
(Sorry, the title should read "...why curl of gradient of a scalar "function" is zero)

Hi chingcx! :smile:

(curl grad f)x = ∂/∂y(∂f/∂z) - ∂/∂z(∂A/∂y) = 0

Similarly, div curl A = 0
...and also the reason why gradient of divergence of a vector function is always zero.

But (grad div A)x = ∂/∂x(∂Ax/∂x) + ∂/∂x(∂Ay/∂y) + ∂/∂x(∂Ax/∂z) ≠ 0 :smile:
 
atyy said:
Is this true? In Gauss's law, the divergence of the electric field is to equal an arbitrary charge density. I would be surprised if the gradient of an arbitrary charge density is zero.
Hey you're right. Wow I can't believe I didn't even bother thinking about whether it might be correct, as opposed to why it might be correct.
 
Ben Niehoff said:
\nabla(\nabla \cdot \vec F) = 0

is certainly false. I think you mean

\nabla \cdot (\nabla \times \vec F) = 0

which is true.

ya, sorry, I mean divergence of curl of vector function is always zero. Why is that true?
 

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