Section 2.1 Vectors and linear combinations
Activity 2.1.0.1.
(a)
Find expressions for the vectors
and sketch them in the
plane.
(b)
What geometric effect does scalar multiplication by a positive number have on a vector? (A) preserves the length, changes the direction, (B) preserves the direction, changes the length, (C) changes the length and the direction.
(c)
What geometric effect does scalar multiplication by a negative number have on a vector? (A) preserves the length, changes the direction, (B) preserves the direction, changes the length, (C) changes the length and the direction.
Activity 2.1.0.2.
As in the previous activity, suppose that
(a)
Sketch the vectors
in the
plane.
(b)
Consider vectors that have the form
where
is any scalar. Sketch a few of these vectors when, say,
and
Consider the points at the tips of each of these vectors. An appropriate geometric description for this set of points would be
a line through the tip of
parallel to
a line through the tip of
parallel to
a line through
parallel to
Activity 2.1.0.3.
As in the previous activity, suppose that
(a)
If
and
are two scalars, then the vector
is called a
linear combination of the vectors
and
Find the vector that is the linear combination when
and
(b)
Can the vector
be represented as a linear combination of
and
Activity 2.1.0.4.
In this activity, we will look at linear combinations of a pair of vectors,
(a)
The weight
is initially set to 0. Explain what happens as you vary
with
How is this related to scalar multiplication?
(b)
What is the linear combination of
and
when
and
You may find this result using the diagram, but you should also verify it by computing the linear combination.
(c)
The vectors that arise when the weight
is set to 1 and
is varied is
a line through
parallel to
a line through
parallel to
a line through
parallel to
(d)
Can the vector
be expressed as a linear combination of
and
If so, what are weights
and
(e)
Can the vector
be expressed as a linear combination of
and
If so, what are weights
and
(f)
Verify the result from the previous part by algebraically finding the weights
and
that form the linear combination
(g)
Can the vector
be expressed as a linear combination of
and
What about the vector
(h)
Are there any two-dimensional vectors that cannot be expressed as linear combinations of
and
Activity 2.1.0.5.
we ask if
can be expressed as a linear combination of
and
Rephrase this question by writing a linear system for the weights
and
and use the Sage cell below to answer this question.
Activity 2.1.0.6.
Consider the following linear system.
Identify vectors
and
and rephrase the question "Is this linear system consistent?" by asking "Can
be expressed as a linear combination of
and
"
Activity 2.1.0.7.
(a)
Which statement is the most accurate for
The vector
can be expressed as a linear combination of
and
in exactly one way.
The vector
can be expressed as a linear combination of
and
in more than one way.
The vector
cannot be expressed as a linear combination of
and
(b)
Considering just the vectors
and
determine the most accurate statement.
Every three dimensional vector
can be expressed as a linear combination of
and
in exactly one way.
Every three dimensional vector
can be expressed as a linear combination of
and
in more than one way.
There are vectors
that cannot be expressed as a linear combination of
and
Be able to explain how the pivot positions of the matrix
help answer this question.
Activity 2.1.0.8.
(a)
Which statement is the most accurate for
The vector
can be expressed as a linear combination of
and
in exactly one way.
The vector
can be expressed as a linear combination of
and
in more than one way.
The vector
cannot be expressed as a linear combination of
and
(b)
Considering just the vectors
and
from the previous part, determine the most accurate statement.
Every three dimensional vector
can be expressed as a linear combination of
and
in exactly one way.
Every three dimensional vector
can be expressed as a linear combination of
and
in more than one way.
There are vectors
that cannot be expressed as a linear combination of
and
Be able to explain how the pivot positions of the matrix
help answer this question.
davidaustinm.github.io/ula/sec-vectors-lin-combs.html#activity-11