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Matrices and Vectors

Cross Product and Geometry in Space

In 3D space, the cross product u v multiplies two vectors to produce a new vector.

Mathematics I 277 words Free to read

Multiplying Vectors into a Vector

In 3D space, the cross product u×vu \times v multiplies two vectors to produce a new vector. Unlike the scalar dot product, it answers geometric questions by yielding a normal direction and a measured area.

FeatureCross Product (u×vu \times v)Dot Product (uvu \cdot v)
OutputVector (perpendicular)Scalar
Formulauvsinθ\|u\| \|v\| \sin\thetauvcosθ\|u\| \|v\| \cos\theta
Zero ConditionParallel (u×v=0u \times v = \mathbf{0})Orthogonal (uv=0u \cdot v = 0)

The magnitude u×v=uvsinθ\|u \times v\| = \|u\|\|v\|\sin\theta equals the area of the parallelogram formed by uu and vv. The cross product is largest when vectors are perpendicular, and zero when parallel.

Common pitfall: Expecting the cross product to be commutative. It is anticommutative: u×v=(v×u)u \times v = -(v \times u). Swapping the order flips the resulting direction.

Triple Products & Volume

The cross product is strictly limited to 3-dimensional space because it requires a mutually perpendicular third dimension to point into.

A related quantity, the scalar triple product u(v×w)u \cdot (v \times w), yields the signed volume of the parallelepiped spanned by three vectors.

PropertyScalar Triple Product
Formulau(v×w)u \cdot (v \times w)
OutputReal number (volume)
Coplanar TestEquals 00 when vectors lie in a flat plane

Pitfall distinction: The dot product yields a scalar measuring alignment (cosθ\cos\theta); the cross product yields a vector measuring area (sinθ\sin\theta); the scalar triple product combines both to measure 3D volume.

Cross Product and Geometry in Space

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Matrices and Vectors