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Transformation laws
Consider two sets of mutually orthogonal basis vectors which share a common origin. They correspond to a ‘new’ and an ‘old’ (original) Cartesian coordinate system which we assume to be right-handed characterized by two sets of basis vectors Transformation Laws - Civil Engineering (CE) and {ei}, respectively. Hence, the new coordinate system could be obtained from the original one by a rotation of the basis vectors ei about their origin. We then define the directional cosine matrix, Qij , as,

Transformation Laws - Civil Engineering (CE)                                                    (2.152)

Note that the first index on Qij indicates the ‘old’ components whereas the second index holds for the ‘new’ components.
It is worthwhile to mention that vectors and tensors themselves remain invariant upon a change of basis - they are said to be independent of the coordinate system. However, their respective components do depend upon the coordinate system introduced. This is the reason why a set of numbers arranged as a 3 by 1 or 3 by 3 matrix is not a vector or a tensor.


Vectorial transformation law 
Consider some vector u represented using the two sets of basis vectors {ei} and Transformation Laws - Civil Engineering (CE), i.e.,
Transformation Laws - Civil Engineering (CE)                                            (2.153)

Recalling the method to find the components of the vector along the basis directions, (2.15),

Transformation Laws - Civil Engineering (CE)

from the definition of the directional cosine matrix, (2.152). We assume that the relation between the basis vectors ei and Transformation Laws - Civil Engineering (CE) is known and hence given the components of a vector in a basis, its components in another basis can be found using equation (2.154).
In an analogous manner, we find that

Transformation Laws - Civil Engineering (CE)

The results of equations (2.154) and (2.155) could be cast in matrix notation as

Transformation Laws - Civil Engineering (CE) 
respectively. It is important to emphasize that the above equations are not identical to Transformation Laws - Civil Engineering (CE) and Transformation Laws - Civil Engineering (CE) respectively. In (2.156) [Transformation Laws - Civil Engineering (CE)] and [u] are column vectors characterizing components of the same vector in two different coordinate systems, whereas Transformation Laws - Civil Engineering (CE) and u are different vectors, in the later. Similarly, [Q] is a matrix of directional cosines, it is not a tensor even though it has the attributes of an orthogonal tensor as we will see next.
Combining equations (2.154) and (2.155), we obtain

Transformation Laws - Civil Engineering (CE)

Hence, Transformation Laws - Civil Engineering (CE) for any vector u. Therefore,

Transformation Laws - Civil Engineering (CE)

Thus, the transformation matrix, Qij is sometimes called as orthogonal matrix but never as orthogonal tensor.


Tensorial transformation law 
To determine the transformation laws for the Cartesian components of any second-order tensor A, we proceed along the lines similar to that done for vectors. Since, we seek the components of the same tensor in two different basis,

Transformation Laws - Civil Engineering (CE)

Then it follows from (2.46) that,

Transformation Laws - Civil Engineering (CE)

In matrix notation, Transformation Laws - Civil Engineering (CE) In an analogous manner, we find that

Transformation Laws - Civil Engineering (CE)

We emphasize again that these transformations relates the different matrices [à] and [A], which have the components of the same tensor A and the equations [Ã] = [Q]t [A][Q] and [A] = [Q][à ][Q]t differ from the tensor equations à = QtAQ and A = QÃQt , relating two different tensors, namely A and à .

Finally, the 3n components Aj1j2...jn of a tensor of order n (with n indices j1, j2, . . ., jn) transform as

Transformation Laws - Civil Engineering (CE)

This tensorial transformation law relates the different components Ãi1i2...in (along the directions ê1, ê2, ê3) and Aj1j2...jn (along the directions e1, e2, e3) of the same tensor of order n. We note that, in general a second order tensor, A will be represented as Aijei⊗Ej , where {ei} and {Ej} are different basis vectors spanning the same space. It is not necessary that the directional cosines Qij = Ei · Êi and qij = ei ·êi be the same, where êand Êj are the ‘new’ basis vectors with respect to which the matrix components of A is sought. Thus, generalizing the above is straightforward; each directional cosine matrices can be different, contrary to the assumption made.

Isotropic tensors 
A tensor A is said to be isotropic if its components are the same under arbitrary rotations of the basis vectors. The requirement is deduced from equation (2.161) as

Transformation Laws - Civil Engineering (CE)

Of course here we assume that the components of the tensor are with respect to a single basis and not two or more independent basis.
Note that all scalars, zeroth order tensors are isotropic tensors. Also, zero tensors and unit tensors of all orders are isotropic. It can be easily verified that for second order tensors spherical tensor is also isotropic. The most general isotropic tensor of order four is of the form
Transformation Laws - Civil Engineering (CE)

where α, β, γ are scalars. The same in component form is given by: αδijδkl + βδikδjl + γδilδjk.

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FAQs on Transformation Laws - Civil Engineering (CE)

1. What are transformation laws in mathematics?
Ans. Transformation laws in mathematics refer to the rules or formulas that describe how certain mathematical objects or expressions change when subjected to a transformation. These transformations can include translations, rotations, reflections, or scaling, and the laws provide a systematic way to understand how the mathematical objects are affected by these transformations.
2. Can you provide an example of a transformation law?
Ans. Yes, an example of a transformation law is the formula for rotating a point in a coordinate plane. Let's say we have a point (x, y) and we want to rotate it counterclockwise by an angle θ. The transformation law for this rotation is given by: x' = x*cos(θ) - y*sin(θ) y' = x*sin(θ) + y*cos(θ) Here, (x', y') represents the coordinates of the rotated point.
3. How do transformation laws help in solving mathematical problems?
Ans. Transformation laws provide a systematic approach to solving mathematical problems by allowing us to understand how objects or expressions change under different transformations. By applying these laws, we can simplify or manipulate mathematical expressions, analyze geometric shapes, solve equations, and derive new mathematical results. They help us to visualize and understand the effects of various transformations, making problem-solving more efficient and accurate.
4. Are transformation laws applicable only to geometric shapes?
Ans. No, transformation laws are not limited to geometric shapes. While they are commonly used in geometry to describe the effects of transformations on shapes, these laws can also be applied to other branches of mathematics. For example, transformation laws can be used in algebra to simplify equations, in calculus to evaluate integrals or derivatives, and in linear algebra to solve systems of equations. The versatility of transformation laws makes them a powerful tool across different mathematical disciplines.
5. How can understanding transformation laws benefit real-world applications?
Ans. Understanding transformation laws has numerous real-world applications. In computer graphics, transformation laws are used to create realistic 3D animations and simulations. In engineering, they are used to design and analyze complex structures or systems. In physics, transformation laws help describe the behavior of objects under various forces or motions. Additionally, understanding transformation laws can enhance problem-solving skills, logical reasoning, and spatial visualization abilities, which are valuable in many professional fields beyond mathematics.
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