@0537 the rank of the tensor is the max number of indices, the type is the (m,n) it belongs to. As for order, I often seen it used interchageably with rank, but I am not sure whether strictly speaking it has a difference
@0celo7 I am not sure, you might end up getting the rules for the type of tensor for gradients and divergence wrong because of how they depend on +-1 of the cotravarient or covarient number in the (m,n) notation
But in practice, I guess it should not matter much since when you actually do the computation, the indices for the tensor notation should be in the correct places…