For the linear system in Example 5 of Section 1.2, express the general solution that we obtained in that example as a linear combination of column vectors that contain only numerical entries. [ Suggestion : Rewrite the general solution as a single column vector, then write that column vector as a sum of column vectors each of which contains at most one parameter, and then factor out the parameters.] EXAMPLE 5 | Gauss–Jordan Elimination Solve by Gauss–Jordan elimination. x 1 + 3 x 2 − 2 x 3 + 2 x 5 = 0 2 x 1 + 6 x 2 − 5 x 3 − 2 x 4 + 4 x 5 − 3 x 6 = − 1 5 x 3 + 10 x 4 + 15 x 6 = 5 2 x 1 + 6 x 2 + 8 x 4 + 4 x 5 + 18 x 6 = 6
For the linear system in Example 5 of Section 1.2, express the general solution that we obtained in that example as a linear combination of column vectors that contain only numerical entries. [ Suggestion : Rewrite the general solution as a single column vector, then write that column vector as a sum of column vectors each of which contains at most one parameter, and then factor out the parameters.] EXAMPLE 5 | Gauss–Jordan Elimination Solve by Gauss–Jordan elimination. x 1 + 3 x 2 − 2 x 3 + 2 x 5 = 0 2 x 1 + 6 x 2 − 5 x 3 − 2 x 4 + 4 x 5 − 3 x 6 = − 1 5 x 3 + 10 x 4 + 15 x 6 = 5 2 x 1 + 6 x 2 + 8 x 4 + 4 x 5 + 18 x 6 = 6
For the linear system in Example 5 of Section 1.2, express the general solution that we obtained in that example as a linear combination of column vectors that contain only numerical entries. [Suggestion: Rewrite the general solution as a single column vector, then write that column vector as a sum of column vectors each of which contains at most one parameter, and then factor out the parameters.]
EXAMPLE 5 | Gauss–Jordan Elimination
Solve by Gauss–Jordan elimination.
x
1
+
3
x
2
−
2
x
3
+
2
x
5
=
0
2
x
1
+
6
x
2
−
5
x
3
−
2
x
4
+
4
x
5
−
3
x
6
=
−
1
5
x
3
+
10
x
4
+
15
x
6
=
5
2
x
1
+
6
x
2
+
8
x
4
+
4
x
5
+
18
x
6
=
6
Quantities that have magnitude and direction but not position. Some examples of vectors are velocity, displacement, acceleration, and force. They are sometimes called Euclidean or spatial vectors.
A research study in the year 2009 found that there were 2760 coyotes
in a given region. The coyote population declined at a rate of 5.8%
each year.
How many fewer coyotes were there in 2024 than in 2015?
Explain in at least one sentence how you solved the problem. Show
your work. Round your answer to the nearest whole number.
Answer the following questions related to the following matrix
A =
3
³).
Elementary Statistics: Picturing the World (7th Edition)
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