The transformation rule of a 2nd rank tensor expresssed in a given basis is often written as follow:
$$F' = P^T FP $$
where $F$ is the matrix representation of the tensor in the old basis B, $F'$ its representation in the new basis B', $P$ is the transformation matrix and finally $P^T$ its transpose.
I'm currently trying to proove this using the displacement gradient tensor as an example. Its elements in a given basis can be defined from the derivatives of the displacement field $\overrightarrow u$ with respect to the coordinates $(x_i, i = 1,2,3)$:
$$ u_{ij} = \frac{\partial{u_i}}{\partial{x_j}} $$
I've tried to express the tensor components in a new basis $u_{ij}^{'} = \frac{\partial{u_{i}^{'}}}{\partial{x_{j}^{'}}}$ as a function of the $u_{ij}$ using the conventionnal chain rule and vector decomposition and I end up with $F' = P^{-1}FP$ which is correct only if the old and new basis are related by a rotation. In the most general case it's not true because $P^{T}\neq P^{-1}$ and I can't figure out where is my mistake. Is my reasoning wrong or did I make a calculus error ?
Any help in solving that issue would be greatly appreciated, thanks a lot.