Is \(\nabla \times (\phi \nabla \phi) = 0\) for a Differentiable Scalar Field?

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Discussion Overview

The discussion centers around the mathematical expression \(\nabla \times (\phi \nabla \phi) = 0\) for a differentiable scalar field \(\phi\). Participants explore the meaning of a differentiable scalar field, the application of curl identities, and methods to prove the expression, including component-wise simplification.

Discussion Character

  • Technical explanation
  • Mathematical reasoning
  • Homework-related

Main Points Raised

  • One participant expresses confusion regarding the term "differentiable scalar field" and seeks clarification.
  • Another participant explains that a scalar field is a function that returns a number for each point in space and describes how to derive the vector function \(\nabla \phi\).
  • Some participants suggest that to prove the expression, one could expand it into its x, y, and z components and simplify.
  • Alternative methods involving curl identities are mentioned, with a reference to external resources for further information.
  • A later reply indicates that the original poster has figured out how to solve the problem, suggesting progress in understanding.

Areas of Agreement / Disagreement

Participants generally agree on the approach to proving the expression, but there is no consensus on the final outcome or correctness of the expression itself.

Contextual Notes

Some assumptions about the differentiability of the scalar field and the applicability of curl identities are not fully explored, leaving potential gaps in understanding.

cristina89
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How to prove that \nabla x (\phi\nabla\phi) = 0?
(\phi is a differentiable scalar field)

I'm a bit confused by this "differentiable scalar field" thing...
 
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Are you saying that you do not know what a "differentiable scalar field" means? A "scalar" is simply a number, rather than a vector. This is just saying that \Phi(x, y, z) is a (differentiable) function that returns a number for each point (x,y,z)- exactly the kind of function you are used to working with!

And, of course, \nabla \Phi is the vector function
\frac{\partial\Phi}{\partial x}\vec{i}+ \frac{\partial\Phi}{\partial y}\vec{j}+ \frac{\partial\Phi}{\partial z}\vec{k}

so that \Phi\nabla\Phi is that vector multiplied by the number \Phi:
\Phi\frac{\partial\Phi}{\partial x}\vec{i}+ \Phi\frac{\partial\Phi}{\partial y}\vec{j}+ \Phi\frac{\partial\Phi}{\partial z}\vec{k}
so is a "vector valued" function- it returns that vector at each point (x, y, z).

Finally,
\nabla\times(\Phi\nabla\Phi)
is the "curl" of that vector valued function.
 
Last edited by a moderator:
I like Serena said:
Hi!

The way to proof such an expression is to write it out into x, y, and z components and simplify it (as HallsofIvy is suggesting).

As an alternative you can use the curl identities that you can find for instance on wiki:
http://en.wikipedia.org/wiki/Curl_(mathematics)#Identities

Thank you! Just figured out how to solve this!
 

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