













Study with the several resources on Docsity
Earn points by helping other students or get them with a premium plan
Prepare for your exams
Study with the several resources on Docsity
Earn points to download
Earn points by helping other students or get them with a premium plan
Community
Ask the community for help and clear up your study doubts
Discover the best universities in your country according to Docsity users
Free resources
Download our free guides on studying techniques, anxiety management strategies, and thesis advice from Docsity tutors
Vector components in different coordinates are mentioned in this lecture.
Typology: Lecture notes
1 / 21
This page cannot be seen from the preview
Don't miss anything!
Ryan C. Daileda
Trinity University
Calculus III
Vectors represent quantities that have both size (magnitude) and direction.
Examples of vector quantities: displacement, velocity, acceleration, force, electric/magnetic fields, etc.
In the context of vectors, real numbers are referred to as scalars.
Examples of scalar quantities: speed, mass, temperature, energy, etc.
We use boldface type for variables that represent vectors, e.g. u, v, w.
Alternate terminology:
magnitude = length
terminal point = tip
initial point = tail
The magnitude of a vector v is denoted |v|.
There’s no standard way to denote the direction of a vector.
Two vectors u and v are considered equal (i.e. u = v) whenever they have the same magnitude and direction. Equality of vectors does not depend on their location in space.
v
u
v
u
v
u
u = v u 6 = v u 6 = v
Vector Addition: Two vectors can be added by positioning them “tip-to-tail,” and then inserting a vector from the tail of the first to the tip of the second.
u
v
tip-to-tail u v
u + v
The following diagram shows that vector addition is commutative:
u + v = v + u.
u v
u + (^) v
v u
It is also geometrically clear that the zero vector “acts like zero”:
v + 0 = 0 + v = v.
v
(^2) v
2
(^1) _ (^) v^ (-1)^ v^ = - v^^2
-^3 _^ v
Notice that | 0 v| = | 0 | · |v| = 0 · |v| = 0, which means that
0 v = 0.
So again zero “acts like zero.”
We combine addition and scalar multiplication and define
u − v = u + (−v).
Because −v interchanges the tip and tail of v, we have the following diagram:
v u
u - v
That is, we subtract vectors by placing them “tail-to-tail.”
Notice that, in particular, this means v − v = 0.
We now consider vectors from the analytic point of view.
Given a vector v (in R^2 or R^3 ) we position it with its tail at the origin:
v (^) move tail v to origin O
P =( a,b,c )
In this configuration, the coordinates of the tip of v (the point P) are the components of v.
We write v = 〈a, b, c〉.
Both points and vectors now have “coordinates.” The difference between the two is primarily how we interpret them:
The coordinates of a point tell you its location.
The components of a vector tell you where the tip is, relative to the tail. Vector components provide a symbolic means of talking about magnitude and direction.
We will focus on components in R^3 , but everything that follows holds for R^2 as well, if one simply “forgets” the third component.
Example 1 If a = 〈 1 , 2 − 3 〉 and b = 〈− 2 , − 1 , 5 〉, find a + b, 2a + 3b and |a − b|.
Solution. We have
a + b = 〈1 + (−2), 2 + (−1), − 3 + 5〉 = 〈− 1 , 1 , 2 〉.
Likewise
2 a + 3b = 〈 2 , 4 , − 6 〉 + 〈− 6 , − 3 , 15 〉 = 〈− 4 , 1 , 9 〉.
Finally
|a − b| =
Example 2
Find the components of the vector that points from A = (a 1 , a 2 , a 3 ) to B = (b 1 , b 2 , b 3 ).
Solution. We introduce the origin O and consider the following diagram:
b
a
Example 3
Find a unit vector (vector of length 1) that points in the direction of v = 〈− 1 , 3 , 4 〉.
Solution. Notice that the vector (^) |^1 v| v has magnitude
∣∣ ∣ ∣
|v|
v
|v|
· |v| = 1,
and the same direction as v since 1/|v| > 0.
So we simply need to “divide” v by |v| to obtain the vector we want:
u =
The standard basis vectors are
i = 〈 1 , 0 , 0 〉, j = 〈 0 , 1 , 0 〉, k = 〈 0 , 0 , 1 〉.
They represent unit displacements along the coordinate axes.
Every vector can be expressed in terms of i, j and k:
〈a, b, c〉 = 〈a, 0 , 0 〉 + 〈 0 , b, 0 〉 + 〈 0 , 0 , c〉
= a〈 1 , 0 , 0 〉 + b〈 0 , 1 , 0 〉 + c〈 0 , 0 , 1 〉
= ai + bj + ck.
This alternate notation will be useful when we discuss the cross product of vectors.