Graduate Gradient Divergence of Nabla Operator Defined

[LagrangeEuler]

Nabla operator is defined by

\nabla = \sum^3_{i=1} \frac{1}{h_i}\frac{\partial}{\partial q_i}\vec{e}_{q_i}
where $q_i$ are generalized coordinates (spherical polar, cylindrical...) and $h_i$ are Lame coefficients. Why then
div(\vec{A})=\sum^3_{i=1} \frac{1}{h_i}\frac{\partial}{\partial q_i}\vec{e}_{q_i} \cdot \sum_j A_j\vec{e}_{q_j}=\sum_i\frac{1}{h_i}\frac{\partial}{\partial q_i}A_i
where I am making the mistake?
here is different definition.
https://www.jfoadi.me.uk/documents/lecture_mathphys2_05.pdf

 

[pasmith]

The unit vectors are generally functions of position; only in cartesian coordinates are they constants. This is why we generally write <br /> \nabla = \sum_i \mathbf{e}_i h_i^{-1} \partial_i to make it clear that the derivative does not operate on \mathbf{e}_i or h_i. However for divergence we get <br /> \sum_i \mathbf{e}_i h_i^{-1} \partial_i \cdot \left( \sum_j A_j \mathbf{e}_j \right) =<br /> \sum_i \sum_j \mathbf{e}_i h_i^{-1} \cdot \left( A_j \partial_i\mathbf{e}_j + \mathbf{e}_j \partial_i A_j \right)

 

[LagrangeEuler]

Thanks a lot. It makes sense of course. What is the easiest way to calculate $A_j \partial_i \vec{e}_j$? How to write that in order to get real expression of divergence with the Lame coefficients and derivatives.