Confusion in the derivation of the force on a magnetic dipole

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SUMMARY

The discussion centers on the derivation of the force on a magnetic dipole, represented by the equation f = ∇(m · B). Two proofs are examined: one assumes ∇ × B = 0 at the dipole's location, while the other, from Griffiths, does not make this assumption. Both proofs yield the same result, but Griffiths provides a broader context by demonstrating that the force equation holds even when ∇ × B ≠ 0, particularly in scenarios involving external current densities. This clarification resolves confusion regarding the conditions under which the force on a magnetic dipole is derived.

PREREQUISITES
  • Understanding of vector calculus, particularly vector identities.
  • Familiarity with magnetic fields and dipoles, specifically magnetic dipole moment (m).
  • Knowledge of Maxwell's equations, especially the implications of ∇ × B.
  • Experience with Griffiths' "Introduction to Electrodynamics," particularly problem 6.5 in the 3rd edition.
NEXT STEPS
  • Study the implications of ∇ × B = μ₀J in different physical contexts.
  • Explore the derivation of the force on a magnetic dipole without assuming ∇ × B = 0.
  • Review Griffiths' treatment of magnetic dipoles in external fields, focusing on problem 6.5.
  • Investigate the relationship between magnetic dipoles and induced magnetic fields in materials.
USEFUL FOR

Physicists, electrical engineers, and students studying electromagnetism, particularly those interested in the behavior of magnetic dipoles in varying magnetic fields.

  • #31
wait i was looking through wikipedia and found this
f5d9854a6668509bf50f8d6db476f2c16895ef0c

this seems to suggest
##
(A \cdot \nabla)B
##
is not
##
A \cdot (\nabla B)
##
 
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  • #32
timetraveller123 said:
wait i was looking through wikipedia and found this
f5d9854a6668509bf50f8d6db476f2c16895ef0c

this seems to suggest
##
(A \cdot \nabla)B
##
is not
##
A \cdot (\nabla B)
##
Here, the notation ##\nabla B## is not the dyadic formed from ##\nabla## and ##B##. So, here,
##A \cdot (\nabla B) \neq (A \cdot \nabla)B##.

Here, ##\nabla B## is the gradient of the vector B as define at https://en.wikipedia.org/wiki/Gradient#Gradient_of_a_vector
or in (1.14.3) here http://homepages.engineering.auckla...ensors/Vectors_Tensors_14_Tensor_Calculus.pdf

In matrix notation, the gradient of B, ##\nabla B##, as used in the Wikipedia article is the transpose of the matrix representing the dyadic ##\left( \nabla B \right)_{\rm dyadic}##.

See also the thread https://www.physicsforums.com/threads/gradients-of-vectors-and-dyadic-products.139000/
 
  • Like
Likes timetraveller123
  • #33
ok thanks again i will look more into the subject
 

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