What is the fundamental matrix for a Markov process with absorbing states?
A)A matrix composed of the identity submatrix, a zero submatrix, a submatrix of the transition probabilities between the non-absorbing states and the absorbing states, and a submatrix of transition probabilities between the non-absorbing states.
B)A matrix representing the average number of times the process visits the non-absorbing states.
C)The inverse of the identity matrix minus the matrix of the transition probabilities between the non-absorbing states and the absorbing states.
D)The matrix product of the limiting transition matrix and the matrix of transition probabilities between the non-absorbing states.

Question

Quizplus · Accepted Answer

The fundamental matrix for a Markov process with absorbing states represents the expected number of times the process will be in each non-absorbing state before being absorbed. This matrix is calculated based on the transition probabilities between non-absorbing states, capturing the average number of visits to each non-absorbing state.

What Is the Fundamental Matrix for a Markov Process with Absorbing