Controls
Current State
-
Step
0
Transition Matrix (P)
The value at row i, col j is the probability of moving from state i to state j. Rows auto-adjust to sum to 1.
What is a Markov Chain?
A Markov chain describes a sequence of events where the probability of the next event depends only on the current state, not the past. This "memoryless" property makes it useful for modeling systems like weather patterns, Google search, financial markets, and more.