Vector Identity: Understanding ∇⋅A and A ⋅∇ in Spherical Coordinates

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Discussion Overview

The discussion revolves around the vector identity involving the divergence and gradient operators, specifically comparing ∇⋅A and A ⋅∇ in the context of spherical coordinates. Participants explore the definitions and implications of these operators, as well as their applications in vector calculus and physics.

Discussion Character

  • Technical explanation
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • Some participants question whether ∇⋅A equals A ⋅∇ and seek clarification on the nature of these expressions.
  • It is noted that A ⋅∇ acts as an operator that can be applied to scalars or vectors, with an example provided for its application to a scalar φ.
  • Others assert that ∇⋅A is not an operator but rather the result of applying the operator ∇ to the vector A, yielding a scalar quantity known as the divergence of A.
  • A participant expresses interest in proving a relationship involving vector potentials and the curl operator, specifically ∇×A=B, and seeks guidance on the proof process.
  • Another participant suggests using the definition of the cross product and the product rule, mentioning the Levi-Civita symbol and Einstein's summation convention.
  • It is mentioned that the definition of the operator ∇ in spherical coordinates can be utilized, along with a specific identity involving the cross product of vectors.
  • A later reply emphasizes the need for caution when working with operators in spherical coordinates due to the non-zero derivatives of spherical unit vectors.

Areas of Agreement / Disagreement

Participants express disagreement regarding the equivalence of ∇⋅A and A ⋅∇, with some asserting they are not equal while others seem to suggest they might be. The discussion remains unresolved regarding the proof of the vector potential relationship.

Contextual Notes

Participants highlight the complexity of working with vector operators in spherical coordinates, noting that assumptions about the derivatives of unit vectors may not hold true.

majormuss
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Does ∇⋅A = A ⋅∇? If not then, what does the latter actually equal?
 
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if [itex]\vec{A}=(A_x,A_y,A_z)[/itex] then [itex]\vec{A}\cdot\nabla=A_x\frac{\partial}{\partial x}+A_y\frac{\partial}{\partial y}+A_z\frac{\partial}{\partial z}[/itex] that is A⋅∇ is still an operator and can be applied to a scalar or a vector. For example applied to scalar φ, [itex](\vec{A}\cdot\nabla)\phi=A_x\frac{\partial\phi}{\partial x}+A_y\frac{\partial\phi}{\partial y}+A_z\frac{\partial\phi}{\partial z}[/itex]
 
Delta² said:
if [itex]\vec{A}=(A_x,A_y,A_z)[/itex] then [itex]\vec{A}\cdot\nabla=A_x\frac{\partial}{\partial x}+A_y\frac{\partial}{\partial y}+A_z\frac{\partial}{\partial z}[/itex] that is A⋅∇ is still an operator and can be applied to a scalar or a vector. For example applied to scalar φ, [itex](\vec{A}\cdot\nabla)\phi=A_x\frac{\partial\phi}{\partial x}+A_y\frac{\partial\phi}{\partial y}+A_z\frac{\partial\phi}{\partial z}[/itex]
So they are equal? Since it is multiplication, they are the same then?
 
No they are not equal, [itex]\nabla\cdot\vec{A}[/itex] is not an operator itself , its the result of the operator [itex]\nabla[/itex]applied to vector [itex]\vec{A}[/itex] via the dot product and it is a scalar quantity referred as the divergence of vector A. It is [itex]\nabla\cdot\vec{A}=\frac{\partial{A_x}}{\partial x}+\frac{\partial{A_y}}{\partial y}+\frac{\partial{A_z}}{\partial z}[/itex].
 
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Delta² said:
No they are not equal, [itex]\nabla\cdot\vec{A}[/itex] is not an operator itself , its the result of the operator [itex]\nabla[/itex]applied to vector [itex]\vec{A}[/itex] via the dot product and it is a scalar quantity referred as the divergence of vector A. It is [itex]\nabla\cdot\vec{A}=\frac{\partial{A_x}}{\partial x}+\frac{\partial{A_y}}{\partial y}+\frac{\partial{A_z}}{\partial z}[/itex].
Nice thank you! Are you familiar with vector potentials in physics? I am working on proving the following but I have been running into trouble. Trying to prove that ∇xA=B!
 

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I assume that what you want to prove is the second equality in the second line. The proof is fairly long and tedious. You have to use a definition of the cross product, and the product rule. What definition of the cross product are you using? Are you familiar with this one (using the Levi-Civita symbol and Einstein's summation convention)?
$$(\vec A\times\vec B)_i=\varepsilon_{ijk} A_j B_k.$$
 
For that you can also use the definition of the operator ∇ in spherical coordinates and the identity [itex]\nabla\times(A\times B)=A(\nabla\cdot B)-B(\nabla\cdot A)+(B\cdot\nabla)A-(A\cdot\nabla)B[/itex] which can be simplified in this case where [itex]A=m[/itex] is a constant vector, by setting the 2 medium terms to zero.
 
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I found out this is not so long afterall if one knows how to do it in spherical coordinate system. However extra caution is needed when working with operators like [itex]\vec{m}\cdot\nabla[/itex] in spherical coordinates. The derivatives of the spherical unit vectors are not always zero.
 
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