dot product

the dot product of two vectors is
(the vectors arent column vectors here, they are written as such to make the operation easier to grasp.)
[cite:;taken from @calc_hubbard_2015 definition 1.4.1]
the dot product of two vectors can be written as the matrix product of the transpose of one vector by the other:
[cite:@calc_hubbard_2015 chapter 1 vectors, matrices, and derivatives]
let be vectors in or in , and let be the angle between them. then
[cite:;taken from @calc_hubbard_2015 proposition 1.4.3 geometric interpretation of the dot product]
the scalar product of 2 vectors A and B is defined as where is the angle between A and B when they are drawn tail to tail (to eliminate ambiguity, is always taken as the angle smaller than ):
when the vectors are in the form of a list of components, e.g. then the dot product is the sum of the products of corresponding components, i.e. given two vectors , their dot product is

some stuff from college

find a unit vector in the plane which is perpendicular to
we denote the perpendicular vector by , since is in the plane, , for B to be perpendicular to A, we have because , so:
hence , however, B is a unit vector, which means that
combining these gives , or and
the ambiguity in sign of and indicates that B can point along a line perpendicular to A in either of two directions