Steady State Probability Vector In Exercises 47-54, find the steady state probability vector for the matrix. An eigenvector v of an n × n matrix A is a steady state probability vector when A v = v and the components of v sum to 1. A = [ 0.7 0.1 0.1 0.2 0.7 0.1 0.1 0.2 0.8 ]
Steady State Probability Vector In Exercises 47-54, find the steady state probability vector for the matrix. An eigenvector v of an n × n matrix A is a steady state probability vector when A v = v and the components of v sum to 1. A = [ 0.7 0.1 0.1 0.2 0.7 0.1 0.1 0.2 0.8 ]
Solution Summary: The author explains the steady state probability vector for the given matrix: A=left[cc
Steady State Probability Vector In Exercises 47-54, find the steady state probability vector for the matrix. An eigenvector v of an
n
×
n
matrix A is a steady state probability vector when
A
v
=
v
and the components of v sum to 1.
A
=
[
0.7
0.1
0.1
0.2
0.7
0.1
0.1
0.2
0.8
]
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.
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