Practice IB Mathematics Applications & Interpretation (AI) Topic AHL 4.19—transition Matrices – Markov Chains with authentic exam-style questions for both SL and HL students. This question bank focuses on the exact syllabus content for AHL 4.19—transition Matrices – Markov Chains and mirrors Paper 1, 2, 3 style where relevant.
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A particle moves between three states, , , and , according to a Markov chain. The transition matrix is:
Verify that is a valid transition matrix.
Find the probability that the particle is in state after two transitions, given it starts in state .
Determine the eigenvalues of .
The day-to-day lunch choice of a student is modelled by the transition matrix , where the states are Cafeteria and Food Truck in that order. The eigenvalues of are and . If the student chooses the Cafeteria on one day, the probability of choosing the Food Truck the next day is . If the student chooses the Food Truck, the probability of choosing the Cafeteria the next day is .
Determine an eigenvector associated with the eigenvalue . Present your result as , where .
Using your result from the previous part, or by another method, calculate the stationary (long-term) probability that the student chooses the Cafeteria. Express your final answer as , where .
The day-to-day travel choice of a commuter is modelled by the transition matrix , where the states are Bridge and Tunnel in that order. The eigenvalues of are and . If the commuter uses the Bridge on one day, the probability of using the Tunnel the next day is . If the commuter uses the Tunnel, the probability of using the Bridge the next day is .
Determine an eigenvector associated with the eigenvalue . Present your result as , where .
Using your result from the previous part, or by another method, calculate the stationary (long-term) probability that the commuter uses the Bridge route. Express your final answer as , where .
The status of a library copy of a popular novel at the end of each week is modelled by the transition matrix , where the states are On shelf and On loan in that order. The eigenvalues of are and . If the book is On shelf in one week, the probability of being On loan the next week is . If the book is On loan, the probability of being On shelf the next week is .
Determine an eigenvector associated with the eigenvalue . Present your result as , where .
Using your result from the previous part, or by another method, calculate the stationary (long-term) probability that the book is On shelf. Express your final answer as , where .