Dot-product of vectors

Dependencies:

  1. Vector

The dot product of $u$ and $v$ is defined as: \[ u \cdot v = \sum_{i=1}^n \overline{u_i}v_i \] where $\overline{u}$ is the conjugate of $u$. $\overline{u}$ is generally defined to be equal to $u$. There are a few exceptions, like complex numbers.

$u$ and $v$ are defined to be orthogonal iff $u \cdot v = 0$.

Dependency for:

  1. Matrices form an inner-product space

Info:

Transitive dependencies:

  1. Group
  2. Ring
  3. Vector