Understanding Tensor Gradients in R3

[EsmeeDijk]

Homework Statement

We have the following orthogonal tensor in R³:
t_{ij} (x^2) = a (x^2) x_i x_j + b(x^2) \delta _{ij} x^2 + c(x^2) \epsilon_ {ijk} x_k
Calculate the following quantities and simplify your expression as much as possible:

\nabla _j t_{ij}(x)
and
\epsilon _{ijk} \nabla _i t_{jk}(x) = 0​

Homework Equations

The equations given in my book are:
(\nabla f)_i = \Lambda _{ji} \frac{\partial f}{\partial x_j} ( with a tilda on the last x_j
\nabla _i = \Lambda_i^j \nabla _j (with a tilda "~" on the last nabla)

The Attempt at a Solution

My problem is that these equations that I have are all assuming that you have a tensor in the form of a matrix, but this is not the case I believe. Also in the book leading up to these equations you have a vector x which is dependent on x_i and on e_i. Which is now also not the case. Only the first term with a is dependent on x_i or x_j, but I can't imagine that the rest of the function just falls away..

 

[andrewkirk]

Your notation is unfamiliar.
What do $x,x^2$ and $x_i$ represent in your formula?
Does $t_{ij}(x^2)$ represent the $i,j$ component of the tensor, in some assumed (but unstated) basis, calculated in terms of a parameter $x^2$? Or does it represent the application of an order-2 tensor to a vector denoted by the symbol $x^2$?