Multiplying Vectors into a Vector
In three dimensions there is a second product, the cross product , which — unlike the dot product — returns a vector. Its two defining geometric features:
- Direction: is perpendicular to both and , pointing along the normal to the plane they span (with orientation given by the right-hand rule).
- Magnitude: , which is exactly the area of the parallelogram formed by and .
So the cross product answers geometric questions the dot product cannot: it produces a normal direction and measures area. Note the sine (versus the dot product's cosine): the cross product is largest when the vectors are perpendicular and zero when they are parallel — parallel vectors span no area. This gives a parallelism test: exactly when and are parallel (the mirror of the dot product's orthogonality test).
The cross product is anticommutative: — swapping the order reverses the resulting vector. This is unlike ordinary multiplication and unlike the dot product (which is symmetric), and it reflects the two possible perpendicular directions.
A related quantity, the scalar triple product , gives the signed volume of the parallelepiped spanned by three vectors; it is zero exactly when the three vectors are coplanar (lie in a common plane), a clean test for whether three directions are independent in space.
Common pitfall: expecting the cross product to be commutative, or confusing it with the dot product. — order matters and flips the direction (anticommutative), whereas the dot product is symmetric. And the cross product returns a vector perpendicular to both inputs (magnitude ), while the dot product returns a scalar () — different outputs, different geometry.
Two vectors spanning a parallelogram, the accent cross-product vector rising perpendicular from the plane and the shaded area labeled |u||v|sin(theta) — direction and area together.