a tensor

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  • 7/31/2019 A tensor

    1/2

    A tensor \sigma_{ij} can be used to represent the stress (Force Per Area) that acts on a small

    element of mass. If you do a search on 'stress tensor' in google, the wikipedia artical comes up

    that explains this tensor and gives a picture. One dimension of the tensor (say the index 'i')

    represents surfaces of a small element of mass (or sides of the cube). The other dimension (index

    'j') represents the set of forces that act on each of the surfaces. For each surface there can be one

    normal force (normal to the surface) and two shear forces (acting tangent to the surface). Note

    that although the cube has six sides, a tensor only represents three sides because the element is

    considered to be infinitesimal and the components of stress on one side of the cube are taken to

    be roughly equal and opposite those on the other side of the cube.

    Another use of tensors is to define a relationship between two different types of tensors

    quantities. For example, the stress tensor \sigma_{ij} repesents the Force per Area acting on a

    small element of mass. Another tensor called the strain tensor \epsilon_{kl} represents the shape

    of a small element of mass (for example, a small element of mass may be stretched like a

    rectangle, or possibly sheared like a diamond). You would expect that applying forces to a bodycauses the shape to change. In other words, there should be some relation between the stress in

    the body \sigma_

    {ij} (local force per area) and the strain \epsilon_{kl} (local change in shape). Often it is

    assumed that the relationship between the stress and strain is linear and a fourth order tensor

    E_{ijkl} called the Modulus of Elasticity is determined which relates stress to strain. The

    relationship \sigma_{ij}=E_{ijkl} \epsilon_{kl} is called Hooke's Law and relates the

    deformation of the mass to the associated stresses that the deformation causes. The Modulus of

    Elasticity is a material property that is determined empiracally (by strestching or twisting a the

    material of interest and seeing how much it deforms). For certain stress ranges, it turns out that a

    linear relationship between stress and strain (represented by the fourth order tensor E_{ijkl]) ispretty good. This is referred to as the plastic region for the material. Beyond this point, the

    relationship between stress and strain tends not to be linear. This region is referred to as the

    elastic region the Modulus of Elasticity is not valid. Note that Hooke's law is just a complicated

    version of the equation F=-kx for a spring which relates the stretch of a spring the the amount of

    force that is required to stretch the spring that far.

    Another common use of tensors is to relate two coordinate systems and convert vectors (or other

    tensors) from one coordinate system to a new coordinate system. For example, suppose you have

    a two dimensional newtonian mechanics problem F=ma represented in terms of coordinates x_1

    and x_2. The problem is rather complicated in terms of x_1 and x_2, so you choose a new set of

    coordinates y_1 (x_1 ,x_2 ) and y_2 (x_1 ,x_2 ) which (hopefully) simplifies the problem. The

    transformation to the new coordinate system is done via the chain rule. The chain rule is often

    represented in terms of the jacobian matrix which is multiplied by a vector to convert it from one

    set of coordinates to a new set of coordinates. Wikipedia has an article on the chain rule and on

    the jacobian which could give more clear interpretation in my opinion, but are worth looking at.

  • 7/31/2019 A tensor

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    when we are talking about states in quantum mechanics I like to think about it like this.

    Let's say we have to independent particles A and B, which both can be in the states 0 and 1. Fisrt

    let's think about what we meenby independent. We mean that when asked if the system is in a

    state ex. |00> (both A and B in state 0), we would like to calculate the probability by

    =

    next we meen that the particles can be in states independent of each other that is we have the

    possible states

    |00>,|10>,|01>,|11>

    So we start with two two dimensional statespaces lets say H_A and H_B (both with basis

    |0>,|1>), we now want to construct a new state space for the joint system that are again a vectorspace (in fact a Hilbertspace), with the porperties mensioned above already built in it.

    So we make a new construction called the tensor product of H_A and H_B

    H = H_A tensor H_B

    it can be shown that the new space has a basis given by

    |0> tensor |0>, |1> tensor |0>, |0> tensor |1> and |1> tensor |1>

    ok so it seems like we have got or four states |00>,|10>,|01>,|11>, but is it reasonble to identify

    these states with the basis vectors of H. It is because when we have to hilbert spaces with inner

    product < | >, then the tensor product of these becomes an Hilbert space witch an inner product

    given by

    () =

    sp if we indentufy |1> tensor |0> with |10> and so on, we see that the tensor product reflect or

    desired properties and is therefor a good way to work with these independent statespaces. This

    can of cause be generalized to more spaces and more states in the spaces.