Facebook Chat Widget by Quantalpha Algorithms
Home └Operations Research Markov Theory └Model #3 - Absorbing State Model

Operations Research Markov Theory

0 %

Completed

Course content

Model #3 - Absorbing State Model

10 XP
Prev Next
Fullscreen Share
markov markov chain markov theory absorbing state absorbing state model


Rating
0 0

There are no comments for now.

Join this Course
to be the first to leave a comment.

1. Question 1: What is an absorbing state in a Markov chain?
A) A state that can be left once entered B) A state that cannot be reached from any other state C) A state that, once entered, cannot be left D) A state that is recurrent but not absorbing
2. Question 2: In an absorbing Markov chain, how many absorbing states must be present for it to be classified as such?
A) At least one absorbing state B) No more than two absorbing states C) At least three absorbing states D) No absorbing states are required
3. Question 3: Which of the following is true about the transition matrix in an absorbing Markov chain?
A) All diagonal elements are zero B) Absorbing states have a transition probability of 1 to themselves C) Non-absorbing states transition to absorbing states with probability zero D) The transition matrix has no absorbing rows
4. Question 4: In an absorbing Markov chain, how do you compute the expected number of steps before absorption?
A) By solving for the eigenvalues of the transition matrix B) By using the inverse of the fundamental matrix (𝐼−𝑄)^(− 1), where 𝑄 Q is the matrix of transient states C) By counting the number of absorbing states in the system D) By calculating the determinant of the transition matrix
5. Question 5: In an absorbing Markov chain, what is the fundamental matrix (N) used for?
A) To calculate the long-term steady-state probabilities B) To find the probability of eventually being absorbed into any absorbing state C) To compute the number of absorbing states D) To determine the number of transitions between transient states