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Wheeler, Mechanics

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epeated in a single term on the left, while i, j and k are each repeated on the right. The summed indices<br />

are called dummy indices, and single indices are called free indices. In every term of every equation the free<br />

indices must balance. We have a different equation for each value of each free index. The dummy indices<br />

can be changed for our convenience as long as we don’t change their positions or repeat the same dummy<br />

index more than the required two times in any one term. Thus, we can write<br />

or<br />

but not<br />

T ijk v j w k + ω i = S ij u j<br />

T imn v m w n + ω i = S ij u j<br />

T ijj v j w j + ω i = S im u m<br />

because using the same dummy index twice in the term T ijj v j w j means we don’t know whether to sum v j<br />

with the second or the third index of T ijk . We will employ the Einstein summation convention throughout<br />

the remainder of the book, with one further modification occurring in Section 5.<br />

Defining the transpose of R ij by<br />

R t ij = R ji<br />

we may write the defining equation as<br />

R t jix j R ik x k = x i x i<br />

Index notation has the advantage that we can rearrange terms as long as we don’t change the index relations.<br />

We may therefore write<br />

R t jiR ik x j x k = x i x i<br />

Finally, we introduce the identity matrix,<br />

so that we can write the right hand side as<br />

⎛<br />

δ ij = ⎝ 1 1<br />

1<br />

⎞<br />

⎠<br />

x i x i = x j δ jk x k = δ jk x j x k<br />

Since there are no unpaired, or “free” indices, it doesn’t matter that we have i on the left and j, k on the<br />

right. These “dummy” indices can be anything we like, as long as we always have exactly two of each kind<br />

in each term. In fact, we can change the names of dummy indices any time it is convenient. For example, it<br />

is correct to write<br />

x i x i = x j x j<br />

or<br />

We now have<br />

x ′ i = R ij x j = R ik x k<br />

R t jiR ik x j x k = δ jk x j x k<br />

⎞<br />

This expression must hold for all x j and x k . But notice that the product x j x k is really a symmetric matrix,<br />

the outer product of the vector with itself,<br />

⎛<br />

x 2 xy xz<br />

zx zy z 2<br />

x j x k = ⎝ yx y 2 yz ⎠<br />

Beyond symmetry, this matrix is arbitrary.<br />

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