majormuss
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Does ∇⋅A = A ⋅∇? If not then, what does the latter actually equal?
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.
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.
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.
So they are equal? Since it is multiplication, they are the same then?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]
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!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].