Laplacian Vector: Definition & Derivation

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Discussion Overview

The discussion revolves around the definition and derivation of the Laplacian of a vector field, particularly in the context of curvilinear coordinate systems. Participants explore the implications of defining the Laplacian for vector fields in non-Cartesian coordinates and the potential complications that arise from such definitions.

Discussion Character

  • Technical explanation
  • Debate/contested

Main Points Raised

  • One participant questions why the Laplacian of a vector field in non-Cartesian coordinates is not defined similarly to the scalar Laplacian of each component, suggesting it would be more intuitive.
  • Another participant explains that in curvilinear coordinates, the Laplacian of a vector field involves additional terms due to the dependence of basis vectors on position, which complicates the definition.
  • A participant reiterates the expression for the Laplacian of a vector field in curvilinear coordinates, seeking clarification on its equivalence to established identities.
  • There is a discussion about the linearity of the Laplacian and whether the equation presented is a preliminary step in deriving the vector Laplacian.
  • One participant expresses confusion regarding the implications of coordinate systems on the definition of the Laplacian, particularly when transitioning between spherical and Cartesian coordinates.

Areas of Agreement / Disagreement

Participants express differing views on the appropriateness and implications of defining the Laplacian of vector fields in non-Cartesian coordinates. There is no consensus on whether the proposed definitions and approaches are equivalent or valid across different coordinate systems.

Contextual Notes

The discussion highlights the complexity of defining the Laplacian in curvilinear coordinates, including the need to consider additional terms arising from the coordinate system's properties. Participants acknowledge that the definitions may vary depending on the chosen coordinate system.

pivoxa15
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In http://mathworld.wolfram.com/Laplacian.html under

'Using the vector derivative identity' It has that forumula for the laplacian of a vector. In cartesian coords it can be derived but I read in books that the this laplacian on vector fields that are not cartesian can only be defined. But why don't they define it in other systems as the scalar laplacian (wrt to their own coords systems) of each components of their vector field? It would make more sense wouldn't it?
 
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If (u,v,w) is an arbitrary curvilinear coordinate system, then:

[tex]\nabla^2 \vec A = \nabla^2 (\hat e_u A_u + \hat e_v A_v + \hat e_w A_w ) = \nabla^2 (\hat e_u A_u) + \nabla^2 ( \hat e_v A_v) + \nabla^2 ( \hat e_w A_w )[/tex]

In a system where the basis vectors depended on position, there will be extra terms, eg:

[tex]\nabla^2 (\hat e_u A_u) = \hat e_u \nabla^2 A + 2 (\nabla \cdot \hat e_u) \nabla A_u + A_u \nabla^2 \hat e_u[/tex]

If you're asking why we don't just define the Laplacian so that:

[tex]\nabla^2 \vec A = \hat e_u \nabla^2 (A_u) + \hat e_v \nabla^2 (A_v)+ \hat e_w \nabla^2 (A_w)[/tex]

the reason is that the answer we'd get would depend on the coordinate system we're using, which is something we don't want.
 
StatusX said:
If (u,v,w) is an arbitrary curvilinear coordinate system, then:

[tex]\nabla^2 \vec A = \nabla^2 (\hat e_u A_u + \hat e_v A_v + \hat e_w A_w ) = \nabla^2 (\hat e_u A_u) + \nabla^2 ( \hat e_v A_v) + \nabla^2 ( \hat e_w A_w )[/tex]

So is this equation equivalent to the (established) vector derivative identity given in MathWorld for any coordinate system?
 
I don't know what you mean. All that equation used was the expansion of A in the (u,v,w) coordinate system and the linearity of the laplacian.
 
I think my question arose from a misunderstanding on my behalf. Is it the case that the equation (highlighted in post 3) is the first step in solving the vector Laplacian of A. The next step is to apply the definition of a Laplacian vector on each component, like breaking a complicated problem into smaller bits but applying the same principle, which in this case is the definition of a Laplacian vector.

When you say the answer would depend on the coord system, do you mean that if I got in spherical coords, A=r(wrt r coord) than in cartesian, it should be A=(x,y,z). But this doesen't always happen if you (hypothetically) define the Laplacian as you have done in the last equation of post 2.
 
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