how would I go about finding the transition matrix for the following phenomenon (which can be modeled as a Markov process)?
Any hints or advice is appreciated!
During a study break, a student's evening habits vary from day to day:
- If he studies one night, there is a 20% probability that he will not study the following night.
- There is a 10% probability that he will not study for two nights in succession.
If we have 2 states: S = Study, S' = No Study.
Then we can form a 2 X 2 matrix(pardon my drawing, I am new at this)
S .8 .2
S' .9 .1
So the first row answers itself from your question. The row S says our current state(night 1) the student is studying. The column S says our next state(night 2) the student has an 80% chance of studying. So column S'(night 2) must be 20% he won't study.
In the second part of your question we know if he does not study in the current state(night 1) that there is a 10% chance he does not study next state( night 2).
The rows must sum to 1(probability must add up to 1). So there is a 90% if the student does not study in the current state(night 1), he will study in the next state(night 2)