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Mathematical Methods for Physicists: A concise introduction - Site Map

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MATRIX ALGEBRA<br />

Taking the dot product of Eq. (3.41) with ^e 1 0 and using the orthonormal relation<br />

^e i 0 ^e j 0 ˆ ij (where ij is the Kronecker delta symbol), we obtain x1 0 ˆ r ^e 1.<br />

0<br />

Similarly, we have x2 0 ˆ r ^e 2 0 and x3 0 ˆ r ^e 3. 0 Combining these results we have<br />

x 0<br />

i ˆ X3<br />

jˆ1<br />

^e 0<br />

i ^e j x j ˆ X3<br />

jˆ1<br />

ij x j ; i ˆ 1; 2; 3: …3:42†<br />

The quantities ij ˆ ^e 0<br />

i ^e j are called the coecients of trans<strong>for</strong>mation. They are<br />

the direction cosines of the primed coordinate axes relative to the unprimed ones<br />

or<br />

ij ˆ ^e 0<br />

i ^e j ˆ cos…x 0<br />

i ; x j †; i; j ˆ 1; 2; 3: …3:42a†<br />

Eq. (3.42) can be written conveniently in the following matrix <strong>for</strong>m<br />

0<br />

x1<br />

0 1 0<br />

10<br />

1<br />

11 12 13 x 1<br />

B<br />

@ x2<br />

0 C B<br />

A ˆ 21 22 CB<br />

@<br />

23 A x C<br />

@ 2 A<br />

31 32 33 x 3<br />

x 0 3<br />

…3:43a†<br />

~X 0 ˆ ~…† ~X; …3:43b†<br />

where ~X 0 and ~X are the column matrices, ~ …† is called a trans<strong>for</strong>mation (or<br />

rotation) matrix; it acts as a linear operator which trans<strong>for</strong>ms the vector X into<br />

the vector X 0 . Strictly speaking, we should describe the matrix ~ …† as the matrix<br />

representation of the linear operator ^. The concept of linear operator is more<br />

general than that of matrix.<br />

Not all of the nine quantities ij are independent; six relations exist among the<br />

ij , hence only three of them are independent. These six relations are found by<br />

using the fact that the magnitude of the vector must be the same in both systems:<br />

X 3<br />

iˆ1<br />

…x 0<br />

i † 2 ˆ X3<br />

With the help of Eq. (3.42), the left hand side of the last equation becomes<br />

! !<br />

X 3 X 3 X 3<br />

X 3 X 3<br />

ij x j ik x k ij ik x j x k ;<br />

iˆ1<br />

jˆ1<br />

kˆ1<br />

iˆ1<br />

ˆ X3<br />

x 2 i :<br />

iˆ1<br />

jˆ1 kˆ1<br />

which, by rearranging the summations, can be rewritten as<br />

…3:44†<br />

X 3 X 3<br />

kˆ1 jˆ1<br />

X 3<br />

iˆ1<br />

ij ik<br />

!x j x k :<br />

This last expression will reduce to the right hand side of Eq. (3.43) if and only if<br />

X 3<br />

iˆ1<br />

ij ik ˆ jk ; j; k ˆ 1; 2; 3: …3:45†<br />

118

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