Find the getschgorin bounds on the eigenvalurd of the matrix
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Because that is a stochastic matrix you just need to fine the fixed probability vector or steady state vector.
(t1,t2)⋅(0.90.20.10.8)=(t1,t2)
Notice I have transposed A for convenience and this yields the simultaneous set of equations
.9⋅t1+.2⋅t2=t1
.1⋅t1+.8⋅t2=t2
t1+t2=1
this is easily solved to get
t1=23
t2=13
Because this is a regular Markov chain all the rows of A∞ are equal to (t1,t2), so
A∞=(23231313)
Transpose A back:
A∞=(23132313)
Hope this helps you ☺️☺️✌️✌️
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