Tensors are most easily understood by discussing the progression of tensor 'ranks'. Generally when one talks about tensors, though, one is referring to tensors of rank two or higher.
A scalar quantity is simply a number -- it has only magnitude. A scalar can be designated a tensor of rank zero.
A vector quantity has magnitude and direction. In two dimensional space, for example, it was x- and y-components, and in three dimensional space, it has 3 components. Vectors can have any number of dimensions. These components are commonly shown in a one dimensional column matrix.
A vector can be designated a tensor of rank one.
A tensor of rank two is represented by a matrix.
A rank-three tensor is represented with a cubic matrix, with components coming out of your computer screen.
(Tensors with rank higher than three are harder to represent; the most common notation is known as Einsteinian Notation, which makes use of indices. Note that a rank-four tensor is represented by a hyper-rectangular matrix. )
Visualizing tensors is very difficult, akin to visualizing hyperdimensional objects. One way to think of tensors is in terms of fields.
A scalar field is created by simply assigning scalar quantities (numbers) to each point in space. Think of temperature - each point in the room has a different temperature.
A vector field is created by assigning vectors to each point. An electric field is an example -- a test charge placed at a point in space will move at a certain speed and direction as represented by the vector at that point.
A tensor field has a tensor corresponding to each point space. An example is the stress on a material, such as a construction beam in a bridge.
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