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. 24. λ 1 = 1.1 , λ 2 = 0.9
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. 24. λ 1 = 1.1 , λ 2 = 0.9
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.
24.
λ
1
=
1.1
,
λ
2
=
0.9
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.
Consider the weighted voting system [16: 15, 8, 3, 1]Find the Banzhaf power distribution of this weighted voting system.List the power for each player as a fraction:
P1:
P2:
P3:
P4:
Solutions of inequalitie
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Is (-3, 2) a solution of 7x+9y > -3?
Choose 1 answer:
A
Yes
B
No
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