Discussion Overview
The discussion revolves around the concept of calculating the divergence of a 3x3 matrix, with participants exploring the definitions and interpretations of divergence in relation to matrices and tensors. The scope includes theoretical considerations and potential applications in fields such as physics and engineering.
Discussion Character
- Debate/contested
- Conceptual clarification
Main Points Raised
- One participant asserts that "divergence" is typically a vector-valued differentiation of a scalar function and is not generally defined for matrices, suggesting that applying divergence to each component could yield a matrix with vector components.
- Another participant points out that divergence is a scalar quantity and implies that only a 1x1 matrix can represent a scalar.
- A different viewpoint suggests that the original poster might be referring to the divergence of a vector field in R^3, which could be represented as a 3x3 matrix.
- Another participant proposes the possibility of interpreting the question as concerning the divergence of a tensor field, which would result in another tensor field of lower valence.
- The original poster clarifies that they are specifically asking about the divergence of a 3x3 tensor related to the anisotropic diffusion coefficient in 3D, suggesting that it involves taking the derivative of each component with respect to x, y, and z, but expresses uncertainty about this approach.
Areas of Agreement / Disagreement
Participants do not reach a consensus on the definition and application of divergence to a 3x3 matrix or tensor. Multiple competing views remain regarding the interpretation of the term "divergence" in this context.
Contextual Notes
There are limitations regarding the assumptions made about the nature of the matrix or tensor in question, as well as the dependence on the variables involved (x, y, z). The discussion also highlights the ambiguity in the interpretation of divergence when applied to matrices or tensors.