When the Curl of a Vector Field is Orthogonal

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SUMMARY

The discussion centers on the properties of the curl of a vector field, specifically addressing the claim that the curl of a vector field is always orthogonal to itself. The example provided involves the magnetic vector potential A and the magnetic field B, where it is stated that A is perpendicular to B due to the dot product being zero. However, the participant challenges this assertion, noting that they have found counterexamples indicating that the curl is not universally orthogonal to itself. The inquiry extends to when the curl may be orthogonal to the original vector field, particularly in the context of electromagnetic theory.

PREREQUISITES
  • Understanding of vector calculus concepts, specifically curl and divergence.
  • Familiarity with electromagnetic theory, particularly magnetic vector potential.
  • Knowledge of dot products and their geometric interpretations.
  • Ability to analyze determinants and matrix properties.
NEXT STEPS
  • Study the properties of curl in vector calculus, focusing on specific examples and counterexamples.
  • Research the relationship between magnetic vector potential A and magnetic field B in electromagnetic theory.
  • Examine the conditions under which the curl of a vector field may be orthogonal to the field itself.
  • Explore the implications of adding constants to vector components on the curl and its geometric interpretations.
USEFUL FOR

Students and professionals in physics, particularly those studying electromagnetism and vector calculus, will benefit from this discussion. It is also relevant for educators seeking to clarify misconceptions about vector field properties.

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Simple question. It came out of lecture, so it's not homework or anything. My professor said that the curl of a vector field is always perpendicular to itself. The example he gave is that the magnetic vector potential A is always perpendicular to the direction of the magnetic field B. (I haven't seen contrary in Griffifth's so far.) The reason he gave is that if you dot A into the curl of A, you'll end up taking the determinant of matrix with two of the same rows. Therefore, that determinant is 0. Since that is the equivalent of taking the dot product of A and the curl of A, and the curl of A is B, then A and B are orthogonal because their dot product is zero, and only orthogonal vectors give a dot product of 0.

When I learned about the curl back in vector calculus, I was never told any of this. I can't even find in my book where it says that the curl is orthogonal to itself. This is because it's not. A simple google search gave me counterexamples of when the curl is not orthogonal to itself.

However, my question is this: when is the curl orthogonal to the original vector field? Will I ever see such situations in my E/M class?
 
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Doesn't sound right to me. You could add arbitrary constants to the components of A without changing the curl, but these constants will change the direction of A.

For a specific example, Let A = y##\hat{i}## + ##\hat{k}##
 

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