Defining the Tensor Product of Gradients for Different Coordinate Systems

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Discussion Overview

The discussion centers around the definition of the tensor product of gradients, specifically ##\nabla \otimes \nabla f##, and how it varies across different coordinate systems such as rectangular, spherical, and cylindrical coordinates. Participants explore the implications of coordinate systems on the components of this tensor.

Discussion Character

  • Technical explanation
  • Debate/contested

Main Points Raised

  • One participant seeks a definition and resources for ##\nabla \otimes \nabla f##, noting its dependence on the coordinate system.
  • Another participant asserts that the tensor itself does not change with the coordinate system, but its components do, emphasizing that it is derived from taking the gradient twice.
  • A participant provides an example of the gradient in cylindrical coordinates and proposes a specific matrix representation for ##\nabla \otimes \nabla f##.
  • Another participant challenges the matrix representation, pointing out the omission of terms involving Christoffel symbols, which arise when taking the gradient of a vector.
  • A participant acknowledges the need for Christoffel symbols due to the changing unit vectors with position and requests a reference table for this information.
  • One participant suggests looking up the equations for the gradient of a vector in the relevant coordinate system as a solution.

Areas of Agreement / Disagreement

There is disagreement regarding the completeness of the proposed matrix representation for ##\nabla \otimes \nabla f##, particularly concerning the inclusion of Christoffel symbols. Participants have differing views on the necessity of deriving the information from scratch versus finding existing resources.

Contextual Notes

The discussion highlights the complexity of defining the tensor product of gradients across different coordinate systems and the potential need for additional mathematical constructs like Christoffel symbols, which may not be universally understood or agreed upon among participants.

member 428835
Does anyone know where I can find the definition of ##\nabla \otimes \nabla f##? I tried googling this but nothing comes up. I know it will change depending on the coordinate system, so does anyone know the general definition OR a table for rectangular, spherical, cylindrical coordinates?

Thanks so much.
 
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It does not change with the coordinate system. That is the entire point. However, its components in a particular coordinate system may be different.

It is the tensor you obtain by taking the gradient twice.
 
Orodruin said:
It does not change with the coordinate system. That is the entire point. However, its components in a particular coordinate system may be different.

It is the tensor you obtain by taking the gradient twice.
Okay, so in cylindrical coordinates, for example, ##\nabla f = \langle f_r , f_\theta r^{-1}, f_z\rangle##. So does this imply $$\nabla \otimes \nabla f =
\begin{bmatrix}
f_r^2 & f_r f_\theta r^{-1} & f_r f_z\\
f_\theta r^{-1} f_r & f_\theta^2 r^{-2} & f_\theta r^{-1} f_z\\
f_rf_z & f_z f_\theta r^{-1} & f_z^2
\end{bmatrix}$$
 
No, you are missing all of the terms involving Christoffel symbols that you get when taking the gradient of a vector
 
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Ohhhhh yeaaaa, because the unit vectors change with position. Is there a table anywhere with this information? I'd prefer not to derive it all from scratch if I can help it.
 
All you need to do is look up the equations for the gradient of a vector for your particular coordinate system, since ##\nabla f## is a vector.
 

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