or
|A+B|^2 =|A|^2 +2(A·B)+ |B |^2 ≤| A|^2 +2 |A·B |+|B|^2 (6 .19)
Using the Schwarz inequality |A·B |≤| A|| B |the equation (6.19) can be expressed
|A+B |^2 ≤|A|^2 +2 |A|| B |+|B |^2 = (|A|+|B |)^2 (6 .20)
Taking the square root of both sides of the equation (6.20) gives the triangle inequal-
ity |A+B |≤|A|+|B|.
The Cross Product or Outer Product
The cross or outer product of two nonzero vectors A and B is denoted using the
notation A×B and represents the construction of a new vector C defined as
C=A×B =|A||B|sin θˆen, (6 .21)
where θis the smaller angle between the two nonzero vectors
A and B when their origins coincide, and eˆn is a unit vector
perpendicular to the plane containing the vectors A and B
when their origins are made to coincide. The direction of ˆen
is determined by the right-hand rule. Place the fingers of your
right-hand in the direction of A and rotate the fingers toward
the vector B, then the thumb of the right-hand points in the
direction C.
The vectors A, B, C then form a right-handed system.^2 Note that the cross product
A×B is a vector which will always be perpendicular to the vectors Aand B, whenever
A and B are linearly independent.
A special case of the above definition occurs when A×B = 0 and in this case one
can state that either θ= 0 , which implies the vectors A and B are parallel or A= 0
or B= 0.
Use the above definition of a cross product and show that the orthogonal
unit vectors ˆe 1 , eˆ 2 , ˆe 3 satisfy the relations
ˆe 1 ׈e 1 = 0
ˆe 1 ׈e 2 = ˆe 3
ˆe 1 ׈e 3 =−ˆe 2
ˆe 2 ׈e 1 =−ˆe 3
ˆe 2 ׈e 2 = 0
ˆe 2 ׈e 3 = ˆe 1
ˆe 3 ׈e 1 = ˆe 2
ˆe 3 ׈e 2 =−ˆe 1
ˆe 3 ׈e 3 = 0
(6 .22)
(^2) Note many European technical books use left-handed coordinate systems which produces results different from
using a right-handed coordinate system.