The cross product of two vectors is defined only for vectors in 3-space, and is another vector.
Cross products |
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The determinant in the second line is symbolic only because technically, "real" determinants can have only numbers as entries. Nevertheless, the second form for the cross product is perhaps the easier way to remember the formula. |
Cross products have many properties that make them ideal for certain geometric applications.
Calculation rules for cross products | ||
For any vectors u, v and w in 3-space and any scalar c, |
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Proofs: Most of these rules can be proved by the "brute force" method: write the vectors in component form, then calculate out the left-hand side, calculate out the right-hand side and show they are equal. |
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For the "length" property |u x v| = |u||v|sin θ, first use brute force to prove the Lagrange identity
then substitute (u x v)•(u x v) = |u x v|2, u•u = |u|2, v•v = |v|2 and u•v = |u||v|cos θ to get
Take positive square roots to get |u x v| = |u||v|sin θ. (sin θ ≥ 0 since 0 ≤ θ ≤ π) |
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Notice one multiplication rule that's not included in this list: cross products are not associative. Here's a counterexample (an example that shows that something isn't always true). Calculate:
(i x i) x j = 0 x j = 0,
but
i x (i x j) = i x k = –j
so
(i x i) x j ≠ i x (i x j) .
As we did when we defined dot products, we cheated a bit by using a coordinate system to define cross products. The last two rules on the list save us this time by giving us a coordinate-free description of cross products: the cross product of two non-zero vectors u and v is the unique vector that:
Since this description gives us both a unique length and a unique direction for the cross product, it determines the cross product uniquely, and without using coordinates.