Given a smooth function $u$, how does one compute $\nabla u \otimes D^2 u$ (where $D^2$ is the Hessian matrix and $\otimes$ is the tensor product) and what is its meaning?
2026-03-27 07:17:18.1774595838
Given a smooth function $u$, what is the meaning of $\nabla u \otimes D^2 u$ (where $D^2$ is the Hessian matrix)?
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I'm going to use index notation (and in the process assume Cartesian coordinates) to elucidate.
In index form, those objects look like:
$$\nabla u = \frac{\partial u}{\partial x_i}, \quad D^2 u = \frac{\partial^2 u}{\partial x_j \partial x_k}$$
Taking the tensor product of both of them just means tacking everything together:
$$\nabla u \otimes D^2 u = \frac{\partial u}{\partial x_i}\frac{\partial^2 u}{\partial x_j \partial x_k}$$
This is a third-order tensor as noted by the three different indices. If you're trying to get some insight into what this object might represent, consider the following representation:
$$\nabla u \otimes D^2 u = \frac{\partial}{\partial x_i}\left(\frac{1}{2}\frac{\partial u}{\partial x_k}\frac{\partial u}{\partial x_j}\right)$$
In coordinate-free notation, this would appear to indicate:
$$\nabla u \otimes D^2 u = \frac{1}{2}\nabla\left(\nabla u\otimes \nabla u\right)$$
Hope this is helpful! Feel free to call me out if the third expression is wrong.