Tensor Analysis

Chapter 2: Transformations and Vectors

2.1 Change of Basis

Let us reconsider the vector x=(2, 1, 3). Fully written out, it is


in a given Cartesian [1] frame e i, i=1, 2, 3. Suppose we appoint a new frame , i=1, 2, 3, such that


(From these expansions we could calculate the and verify that they are non-coplanar.) Recalling that x is an objective, frame-independent entity, we can write


In these calculations it is unimportant whether the frames are Cartesian; it is important only that we have the table of transformation


It is clear that we can repeat the same operation in general form. Let x be of the form

(2.1)

with the table of transformation of the frame given as


Then


Here have introduced a new notation, placing some indices as subscripts and some as superscripts. Although this practice may seem artificial, there are some fairly deep reasons for following it.

[1]This is one of the few times in which we do not use i as the symbol for a Cartesian frame vector.

2.2 Dual Bases

To perform operations with a vector x we must have a straightforward method of calculating its components-ultimately, no matter how advanced we are, we must be able to obtain the x i using simple arithmetic. We prefer formulas that permit us to find the components of vectors using dot multiplication only; we shall need these when doing frame transformations, etc. In a Cartesian frame the necessary...

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