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John Stillwell - Naive Lie Theory.pdf - Index of

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1.4 Consequences <strong>of</strong> multiplicative absolute value 13<br />

This relates the quaternion product uv to two other products on R 3 that are<br />

well known in linear algebra: the inner (or “scalar” or “dot”) product,<br />

u · v = u 1 v 1 + u 2 v 2 + u 3 v 3 ,<br />

and the vector (or “cross”) product<br />

∣ i j k ∣∣∣∣∣<br />

u × v =<br />

u 1 u 2 u 3 =(u 2 v 3 − u 3 v 2 )i − (u 1 v 3 − u 3 v 1 )j +(u 1 v 2 − u 2 v 1 )k.<br />

∣v 1 v 2 v 3<br />

In terms <strong>of</strong> the scalar and vector products, the quaternion product is<br />

uv = −u · v + u × v.<br />

Since u · v is a real number, this formula shows that uv is in Ri + Rj + Rk<br />

only if u · v = 0, that is, only if u is orthogonal to v.<br />

The formula uv = −u · v + u × v also shows that uv is real if and only<br />

if u × v = 0, that is, if u and v have the same (or opposite) direction. In<br />

particular, if u ∈ Ri + Rj + Rk and |u| = 1 then<br />

u 2 = −u · u = −|u| 2 = −1.<br />

Thus every unit vector in Ri + Rj + Rk is a “square root <strong>of</strong> −1.” (This, by<br />

the way, is another sign that H does not satisfy all the usual laws <strong>of</strong> algebra.<br />

If it did, the equation u 2 = −1 would have at most two solutions.)<br />

Exercises<br />

The cross product is an operation on Ri+Rj+Rk because u×v is in Ri+Rj+Rk<br />

for any u,v ∈ Ri + Rj + Rk. However, it is neither a commutative nor associative<br />

operation, as Exercises 1.4.1 and 1.4.3 show.<br />

1.4.1 Prove the antisymmetric property u × v = −v × u.<br />

1.4.2 Prove that u × (v × w)=v(u · w) − w(u · v) for pure imaginary u,v,w.<br />

1.4.3 Deduce from Exercise 1.4.2 that × is not associative.<br />

1.4.4 Also deduce the Jacobi identity for the cross product:<br />

u × (v × w)+w × (u × v)+v × (w × u)=0.<br />

The antisymmetric and Jacobi properties show that the cross product is not completely<br />

lawless. These properties define what we later call a <strong>Lie</strong> algebra.

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