The cross product is a Vector operation that only applies to two vectors in , i.e. vectors in 3D Real Space. It returns a vector perpendicular to both vectors.

The cross product is only defined in

Definition

Formula
  • = Two vectors in
  • = Unit vectors in
  • = Angle between and
  • = Unit vector perpendicular to both and
(More common) Matrix Formula

Properties

Let be two vectors and be a scalar.

  1. Anti-Commutative: Switching the vectors in a cross product returns a negative of the original cross product.$$\vec{v} \times \vec{u} = -(\vec{u} \times \vec{v})
2. **Distributive**: The cross product can be expanded. $$(\vec{u} + \vec{v}) \times \vec{w} = \vec{u} \times \vec{w} + \vec{v} \times \vec{w}
  1. Non-Associative: Just like the Dot Product, we can’t switch around the parenthesis in the cross product.$$\vec{u} \times (\vec{v} + \vec{w}) \neq (\vec{u} + \vec{v}) \times \vec{w} \ \ \ \ \ \ \ \vec{u} \times (\vec{v} + \vec{w}) = \vec{u} \times \vec{v} + \vec{u}\times \vec{w}
5. **Obeys scalar multiplication**: We can 'pull out' the scalar from a cross product operation:$$(k\vec{u})\times \vec{v} = \vec{u} \times (k\vec{v})= k(\vec{u} \times \vec{v})
  1. The cross product of a vector against itself is always zero.$$\vec{v} \times \vec{v} = 0
7. The cross product of parallel vectors is always zero.$$\vec{u} \times \vec{v} \iff \vec{u} \parallel\vec{v}

Geometry

images 4#todo

The cross product of two vectors can be thought of as the signed area of a parallelogram created from those two vectors: Pasted image 20240830142332