The Vector Laplacian: Understanding the Third Term

Click For Summary

Discussion Overview

The discussion revolves around the vector Laplacian and its application to the Laplacian of the cross product of two vector fields in three-dimensional space. Participants explore the mathematical formulation and implications of this operation, addressing both theoretical and conceptual aspects.

Discussion Character

  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • One participant presents a formulation for the Laplacian of the cross product of two vectors, expressing uncertainty about the term involving the derivatives of the vectors.
  • Another participant suggests a way to express the term using the trace of the product of gradients, though notes potential confusion regarding the axes involved.
  • A different participant questions the validity of the cross product of matrices, suggesting it is not a standard operation.
  • One participant proposes a definition for the cross product of tensors, indicating that vector notation may not be suitable in this context.
  • Several participants express confusion about the applicability of the Laplacian to vector functions, with one noting that the vector Laplacian is indeed defined for such functions.
  • Another participant clarifies the definition of the vector Laplacian and its validity in curvilinear coordinates, while also mentioning its application to differential forms.

Areas of Agreement / Disagreement

Participants exhibit a mix of agreement and disagreement, particularly regarding the definition and application of the Laplacian to vector fields. While some clarify the concept of the vector Laplacian, others express uncertainty about its legitimacy in the context of cross products.

Contextual Notes

There are unresolved assumptions regarding the definitions of operations on tensors and the applicability of the Laplacian to vector functions. The discussion also highlights potential ambiguities in notation and terminology.

William Crawford
Messages
41
Reaction score
36
TL;DR
I'm trying to work out different product rules for the Laplacian and I've gotten stuck on the Laplacian of a cross product.
Suppose ##A = A_i\mathbf{\hat{e}}_i## and ##B = B_i\mathbf{\hat{e}}_i## are vectors in ##\mathbb{R}^3##. Then

\begin{align}
\Delta\left(A\times B\right)
&= \epsilon_{ijk}\Delta\left(A_jB_k\right)\mathbf{\hat{e}}_i \\
&= \epsilon_{ijk}\left[A_j\Delta B_k + 2\partial_mA_j\partial_mB_k + B_k\Delta A_j\right]\mathbf{\hat{e}}_i \\
&= A\times\left(\Delta B\right) + 2\epsilon_{ijk}\partial_mA_j\partial_mB_k\mathbf{\hat{e}}_i + \left(\Delta A\right)\times B
\end{align}

I can't identify the term ##2\epsilon_{ijk}\partial_mA_j\partial_mB_k\mathbf{\hat{e}}_i## on the last line with anything more familiar in terms of standard vector calculus operations. This feels somewhat odd to me, as the additional two terms can be written neatly in terms of "standard" vector calculus operators (namely the cross product and the laplacian) but the third term can't. I hope someone can help me shed light on this matter.
 
Physics news on Phys.org
Given (\nabla \mathbf{A})_{ij} = \partial_iA_j I think you could write <br /> 2\operatorname{Tr}((\nabla A) \times (\nabla B)) although this does leave room for confusion concerning which axes the operatiors are being carried out over, and this may be one of those occasions where the suffix notation is much clearer.
 
Hi thanks for your respons. Isn't the cross-product of two matrices an ill defined notion? At least, I won't call it a "standard" opperation.
 
Given tensors A and B of ranks n and m respectively, I think it makes sense to define the rank n+m-1 tensor <br /> (A \times B)_{j_1 \cdots j_{n-1} k_1 \cdots k_{m-1}i} = \epsilon_{ij_nk_m} A_{j_1 \dots j_n}B_{k_1 \dots k_m}. But this may be another reason why vector notation does not work here.
 
William Crawford said:
TL;DR Summary: I'm trying to work out different product rules for the Laplacian and I've gotten stuck on the Laplacian of a cross product.

Suppose ##A = A_i\mathbf{\hat{e}}_i## and ##B = B_i\mathbf{\hat{e}}_i## are vectors in ##\mathbb{R}^3##. Then
\begin{align}
\Delta\left(A\times B\right)
&= ...
\end{align}##
Hi. Please humour me if I'm missing the point...

I thought the Laplacian operates only on scalar functions. Since ##A \times B## is a vector (not a scalar function) is ##\Delta (A \times B)## a legitimate expression?
 
Steve4Physics said:
I thought the Laplacian operates only on scalar functions. Since ##A \times B## is a vector (not a scalar function) is ##\Delta (A \times B)## a legitimate expression?
The Laplacian, or vector Laplacian to be precise, is naturally defined for vector functions as well. In the framework of vector calculus this is often done as
$$ \Delta\mathbf{v} = \nabla(\nabla\cdot\mathbf{v}) - \nabla\times(\nabla\times\mathbf{v}), $$
which has the added benefit of being valid for curvilinear coordinates (i.e. coordinate independent). In Cartesian coordinates the vector Laplacian takes the simple and obvious form
$$ \Delta\mathbf{v} = (\nabla\cdot\nabla)\mathbf{v} = \partial_j\partial_jv_i. $$
In general, the Laplacian can be defined for any differential ##p##-form, but this is a little beside the topic discussed here (please see Hodge Laplacian for more details).
 
  • Informative
Likes   Reactions: Steve4Physics
William Crawford said:
The Laplacian, or vector Laplacian to be precise, is naturally defined for vector functions as well. In the framework of vector calculus this is often done as
$$ \Delta\mathbf{v} = \nabla(\nabla\cdot\mathbf{v}) - \nabla\times(\nabla\times\mathbf{v}), $$
which has the added benefit of being valid for curvilinear coordinates (i.e. coordinate independent). In Cartesian coordinates the vector Laplacian takes the simple and obvious form
$$ \Delta\mathbf{v} = (\nabla\cdot\nabla)\mathbf{v} = \partial_j\partial_jv_i. $$
In general, the Laplacian can be defined for any differential ##p##-form, but this is a little beside the topic discussed here (please see Hodge Laplacian for more details).
Many thanks for the clarification. I'd only enccountered the 'basic' Laplacian.
 

Similar threads

  • · Replies 2 ·
Replies
2
Views
3K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 5 ·
Replies
5
Views
2K
  • · Replies 3 ·
Replies
3
Views
3K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 6 ·
Replies
6
Views
2K
  • · Replies 27 ·
Replies
27
Views
1K
  • · Replies 0 ·
Replies
0
Views
3K
  • · Replies 3 ·
Replies
3
Views
2K