In Exercises 24 through 29, consider a dynamical system x → ( t + 1 ) = A x → ( t ) with two components. The accompanying sketch shows the initial state vector x → 0 and two eigenvectors, υ → 1 and υ → 2 , of A (with eigenvalues λ 1 and λ 2 , respectively). For the given values of λ 1 and λ 2 , sketch a rough trajectory. Consider the future and the past of the system. 28. λ 1 = 1.2 , λ 2 = 1.1
In Exercises 24 through 29, consider a dynamical system x → ( t + 1 ) = A x → ( t ) with two components. The accompanying sketch shows the initial state vector x → 0 and two eigenvectors, υ → 1 and υ → 2 , of A (with eigenvalues λ 1 and λ 2 , respectively). For the given values of λ 1 and λ 2 , sketch a rough trajectory. Consider the future and the past of the system. 28. λ 1 = 1.2 , λ 2 = 1.1
Solution Summary: The author illustrates the rough trajectory of the system for the Eigen values.
In Exercises 24 through 29, consider a dynamical system
x
→
(
t
+
1
)
=
A
x
→
(
t
)
with two components. The accompanying sketch shows the initial state vector
x
→
0
and two eigenvectors,
υ
→
1
and
υ
→
2
, of A (with eigenvalues
λ
1
and
λ
2
, respectively). For the given values of
λ
1
and
λ
2
, sketch a rough trajectory. Consider the future and the past of the system.
28.
λ
1
=
1.2
,
λ
2
=
1.1
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).
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