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Given a $C^2$ multivariate function $f : \mathbb{R}^d \to \mathbb{R}$, the gradient defines a vector field, the divergence of this vector field, then, should be the trace of the Hessian matrix, right? I'm not entirely sure because the simplified version of divergence is only ever given for $d=3$.

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1 Answers1

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yes, evidently, according to @user72694 above, this is known as the "flat" Laplacian

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