Study Guide 1 (For week of 8/22/00-8/29/00)
(Math 2422, Calculus III, Section 002, Fall 2000)
Homework:
Read Sections 10.1 - 10.3, and work the following problems:
(You do not need to
hand these problems in, but any of them may appear on the quiz
on Tuesday 8/29/00.)
- Section 10.1: 7; 13a,b; 21, 24, 29, 33, 39a,b,c,d,e,f;
41, 44, 49, 52, 57, 63(can just use calculator), 84-89
- Section 10.2: 1, 7, 17, 23, 25, 31, 34, 45, 51, 54, 62, 85
- Section 10.3: 1, 9, 16, 24, 25, 31, 32, 45, 48, 62, 65
Overview:
Vectors will play a major role throughout this course (as well
as in Calc IIIb). It is essential that you master them right away.
Some key points:
- Vectors are ordered lists of numbers that can be used to
represent a variety of things:
- points in the plane or in space, (perhaps representing the position
of an object)
- directed line segments, (representing for example velocity,
acceleration, force, etc).
- NOTE: The text talks about vectors only as directed line segments.
This is the way physicists typically use vectors, but I find this to
be cumbersome at times--
particularly when we discuss space curves and vector valued functions.
So be aware that I will treat vectors slightly differently than the text
does.
- We can associate a direction and magnitude to any vector. You
should know how to calculate these.
- You can add two vectors together and you can multiply vectors by
scalars--this is all very intuitive, and should be easy for you to
master.
- Page 703 gives some geometric interpretations of vector addtion
and scalar multiplication. These pictures will be very important later
on.
- You can also multiply two vectors together, but this is NOT
obvious how to do. In fact, there are two different definitions of
multiplication (DOT product and CROSS product). We are studying
the DOT product this week. You must learn special rules for how
to compute the DOT product, and you will need to practice doing it
until it is second nature. IT IS ESSENTIAL THAT YOU MASTER DOT
PRODUCTS THIS WEEK, OR YOU WILL STRUGGLE LATER ON!!!
- DOT products are useful for determining the angle between two
vectors. Memorize the formula in Theorem 10.5, but more importantly
remember this: TWO VECTORS ARE ORTHOGONAL IF THEIR DOT PRODUCT IS ZERO.
- The relationship between DOT products and angles plays a key
role in deriving the formula for deriving the formula in Theorem 10.6
for the projection of one vector onto another. We'll use this
formula a lot this semester, so (this sounds like a broken record),
but memorize this formula now and practice using it--you'll be glad
you did later on.
In addition to introducing vectors this week, we will also focus on
some fundamentals of 3-dimensional geometry. Some key results:
- Distance formula.
- Equation of a sphere. (Focus on the intuition behind this formula)
What you should know by the end of this week:
Terminology: Component form of a vector, directed line
segment, norm, vector sum, scalar multiple, unit vector,
standard unit vectors (i,j,k), linear combination,
right-handed, coordinate system,
zero vector, equality of vectors, parallel vectors, orthogonal vectors,
dot product, projection, vector components.
- Given a directed line segment, find the component form of the
vector it represents.
- Find the length and direction (angle with the x-axis) of a given
vector in component form.
- Find the component form of a vector of a given length and direction.
- Draw a picture illustrating how to find the sum of two vectors, or
what effect scalar multiplication has on a vector.
- Write a vector as a linear combination of unit vectors.
- Find the equation of a sphere given two points on either end
of a diameter.
- Determine whether two vectors are parallel.
- Calculate the dot product of two vectors.
- Find the angle between two vectors.
- Find the projection of a vector onto another vector.
- Find the component of a vector orthogonal to another vector.
- Find a unit vector in the same direction as a given vector.
- Use vectors to determine whether three points are collinear.
- Calculate direction angles in 3-dimensional space.
- Applications
- Force (see 10.1, example 7)
- Velocity (10.1, example 8)
- Work (calculate the work done by a force acting on a moving object).