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Introduction to vector and tensor analysis

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4.2.1 Cartesian coordinate transformation<br />

A particular case of an orthonormal basis transformation is the transformation<br />

between two cartesian coordinate systems, C = (O, R) <strong>and</strong> C ′ = (O ′ , R ′ ). Here,<br />

the form of the vec<strong>to</strong>r transformation, Eq. (4.4), can be directly translated <strong>to</strong><br />

the coordinates themselves. To show this we employ the simple relation between<br />

coordinates <strong>and</strong> the position vec<strong>to</strong>r, Eq. (2.9), valid in any cartesian system.<br />

The displacement vec<strong>to</strong>r between any two points is given by ∆r = ∆xiei. This<br />

vec<strong>to</strong>r –or its differential analogue dr = dxiei – is a proper vec<strong>to</strong>r independent<br />

of the coordinate system. Following relation between the coordinate differentials<br />

must then be satisfied<br />

dxi <strong>and</strong> dx ′ j<br />

Multiplying with e ′ j<br />

or equivalently<br />

we obtain<br />

dr = dxiei = dx ′ j e′ j<br />

∂x ′ j<br />

dx ′ j = dxiei · e ′ j<br />

= e ′ j · ei = aji, (4.9)<br />

∂xi<br />

where aji is defined as in Eq. (4.3). Since the rhs. is constant (constant basis<br />

vec<strong>to</strong>rs) the integration of Eq. (4.9) gives<br />

x ′ j = ajixi + dj. (4.10)<br />

Here, dj is the j’th coordinate of the origin, O, of the unprimed coordinate<br />

system as seen from the primed coordinate system, d = (x ′ )C ′(O). In matrix<br />

notation Eq. (4.10) takes the form<br />

x ′ = A · x + d, A = (aij), (4.11)<br />

which is identical <strong>to</strong> Eq. (4.6) except from the optional displacement.<br />

4.2.2 The orthogonal group<br />

Considering Eq. (4.4) <strong>and</strong> Eq. (4.5) as a set of two matrix equations we note<br />

that the transpose matrix A t operates as the inverse of A<br />

A · A t = 1, (4.12)<br />

where 1 is the identity matrix, (1)ij = δij. In index notation<br />

(A · A t )ij = aikakj = δij<br />

(4.13)<br />

A matrix with the above property is called orthogonal, <strong>and</strong> the set of of all<br />

orthogonal 3×3 matrices constitutes a continuous group 3 called O(3). According<br />

<strong>to</strong> Eq. (4.12)<br />

det(A · A t ) = det(A) 2 = 1,<br />

3 Recall, that a mathematical group (G, ∗) is a set G with a binary opera<strong>to</strong>r, ∗, that satisfies<br />

following axioms:<br />

45

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