Vectors and Tensors I am currently studying Reliability engineering and hence need to deal with material properties like elasticity modulus and poisson's ratio. I am basically an electrical engineer and hence never had to deal with Tensors previously. What I figured out about the difference between a tensor and a vector is that, a vector when broken down to it's most basic components, is nothing but an n-dimensional array where every element in the array represents a scalar, but on the other hand if I try to represent a Tensor in an "array" and not a matrix then every element in the array is a vector too. Kindly help me out, because I am a zero in Tensor mathematics because I never had to deal with it. The knowledgeable man or woman answering my question, if they do have an idea, can also help my understanding by referring to the "stress tensor in material" and the "conductivity tensor in the Current density and Electric field intensity" examples, since I will need to deal with these. 
 A: This is really something that you should learn from a textbook, but I'll try to answer the second part of your question. 
When you apply forces on any deformable body in equilibrium, it must develop internal resisting forces to keep every piece of it in equilibrium, by Newton's 2nd law. This is usually demonstrated by cutting the body into two by an imaginary plane and replacing  material on one side of the body by a system of internal forces.
These internal forces vary from point to point in the body (think of the body as a well-behaved subset of $R^3$), but also depend on the direction in which you make the cut.
Since you can slice a 3D body in two through a point in an infinite number of ways, it would seem hopeless to specify these internal forces.
Cauchy proved that this need not be the case. All one needs is an entity called the stress tensor that, at a given point, maps normal vectors to these cutting planes to the vector force per unit area at that point (this is called the traction vector). 
Mathematically, the stress tensor is a linear map $\mathbb{\sigma}$ such that (in a euclidean background space)
$$
\mathbb{t} = \mathbb{\hat{n} \cdot \sigma = \sigma^T \cdot \hat{n}}
$$
where $\hat{n}$ is the unit normal to the plane and $\mathbb{t}$ is the traction vector.
Due to symmetry, $\sigma = \sigma^T$. 
So, in a Cartesian basis, you can think of $\sigma$ as a 3 x 3 symmetric matrix that premultiplies a 3 x 1 column vector containing the components of the unit normal $\hat{n}$
to produce a 3 x 1 column vector of traction components. 
$$
t_i = \sum_{j=1}^{3} \sigma_{ji} n_j \quad i=1,2,3
$$
(The summation sign is normally omitted)
In matrix form, 
$$
\{t\}_{3 \times 1} = [\sigma]_{3 \times 3} \{n\}_{3 \times 1}
$$
The stress tensor $\sigma_{ij}$ is a function of space and time - it is a tensor field - so you can think of it as a system of functions $\sigma_{ij}(x,y,z,t)$.
