Understanding the Vector Laplacian in the Navier Stokes Equations

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Discussion Overview

The discussion centers on the vector Laplacian in the context of the Navier-Stokes equations, exploring its formulation and implications for fluid dynamics. Participants examine the mathematical representation and properties of the Laplacian when applied to vector fields.

Discussion Character

  • Technical explanation
  • Mathematical reasoning
  • Debate/contested

Main Points Raised

  • One participant questions the formulation of the Laplacian for vectors, asking if it is simply the second partial derivatives applied to the vector components.
  • Another participant suggests that the symbol used may be misinterpreted, proposing that it looks like the gradient operator instead of the Laplacian.
  • A different participant confirms that the delta symbol represents the Laplacian, noting it can also be expressed as \(\nabla^2\).
  • One participant provides an identity involving the Laplacian of a vector, indicating a relationship between gradient, divergence, and curl operations.
  • Another participant seeks clarification on the identity, emphasizing the need to maintain parentheses due to non-associativity of the operations involved.
  • There is a discussion about the appropriateness of applying the Laplacian to vectors, with one participant asserting that it is permissible as long as the basis vectors are also differentiated.

Areas of Agreement / Disagreement

Participants express differing views on the interpretation and application of the Laplacian to vectors, with no consensus reached on the best approach or formulation.

Contextual Notes

Some participants highlight the importance of operator properties, such as associativity, which may affect the interpretation of expressions involving the Laplacian and vector fields.

Brad_Ad23
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I recently came across the vector version of the Navier Stokes equations for fluid flow.

[tex]\displaystyle{\frac{\partial \mathbf{u}}{\partial \mathbf{t}}} + ( \mathbf{u} \cdot \bigtriangledown) \mathbf{u} = v \bigtriangleup \mathbf{u} - grad \ p[/tex]

Ok, all is well until [tex]\bigtriangleup[/tex]. I know this represents the laplacian. What is the formulation of the Laplacian for this since it is a vector? Is it just simply the second partials dot product with the respective terms of the vector? Or is it something else?

edit: changed text where I say problem is [tex]\bigtriangledown[/tex] to the appropriate [tex]\bigtriangleup[/tex]
 
Last edited:
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For whatever reason, I can't seem to use laTex ... have to do a bit more reading first.

But, are you sure that the delta you've picked out is the Laplacian ... looks like grad to me.
 
Yes that is the Laplacian. Apparently they use that delta to represent it, it is also written as [tex]\bigtriangledown^2[/tex]
 
[tex]\nabla^2\boldsymbol{v}=\nabla\left(\nabla\cdot\boldsymbol{v}\right)-\nabla\times\left(\nabla\times\boldsymbol{v}\right)[/tex]
 
So let me make sure I have this straight.

[tex]\bigtriangledown^2 \ v = grad \ div \ v - curl \ curl \ v[/tex]
 
I believe that is the correct interpretation.
 
Well, that is an identity for the operators. But why don't you like the idea of the usual Laplacian acting on a vector? It's just a derivative operator, which is allowable on vectors as long as you remember that the basis vectors also have to be differentiated.

dhris
 
Originally posted by Brad_Ad23
So let me make sure I have this straight.

[tex]\bigtriangledown^2 \ v = grad \ div \ v - curl \ curl \ v[/tex]

these operations are not associative, so you should not remove the parantheses.
 

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