3.3 VECTORS
Dot Product;
The Angle Between Vectors
 Let u and v be two nonzero vectors in 2-space or
3-space, and assume these vectors have been
positioned so their initial points coincided. By the
angle between u and v, we shall mean the
angleθ determined by u and v that satisfies 0 ≤
θ ≤ π.
Dot Product
 If u and v are non zero vectors in R2 or R3 , and if θ is
the angle between u and v, then the dot product (also
called the Euclidean inner product) of u and v is denoted
by u · v and is defined as
 u · v = ∥u∥∥v∥ cos θ If u = 0 or v = 0, then we define u ·
v to be 0.
 Θ is acute if u·v >0. • θ is obtuse if u·v<0. • θ=π/2 if
u·v=0.
Example of Dot product
Component Form of the Dot
Product (1/2)
Component Form of the Dot
Product (2/2)
 The formula is also valid if u=0 or v=0.
 If u and v are nonzero vectors then
it also can be written as
Finding the Angle Between
Vectors
Dot Product
Example 3
Finding Dot products from Components
Theorem 3.3.2
Properties of the Dot Product
If u, v and w are vectors in 2- or 3-space
and k is a scalar, then:
Orthogonal Vectors
Example 4
A Vector Perpendicular to a Line
 Show that in 2-space the nonzero vector n=(a,b) is
perpendicular to the line ax+by+cz=0.
 Solution
Example 5
Vector Component of u Along a
Distance between Point &
Plane or line
Example 7
Using the Distance Formula
Planes in 3-Space
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Example 1
Finding the Point-Normal
Equation of a Plane
Distance between Point &
Plane
Distance between Parallel
planes
3.5 Lines and Planes
in 3-Space
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Vector Form of Equation of a
Plane
Parametric equations of a
plane
Example 1
Vector Equation of a Plane
Example 2
Parametric Equations of a Line

Vectors mod-1-part-2