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Markov chains and random walks
MTH5230
Synopsis
Homogeneous Markov chains in finite and countable state space. Foster-Lyapunov criterion for recurrence and transience. Random walks in one and more dimensions. Polya theorem. Limit theorems: law of iterated logarithms, functional central limit theorem. Connections with the Brownian motion and the heat equation. Applications of random walks to finance and insurance.
Sourced from the Monash Handbook 2026.
Quick facts
- Credit points
- 6
- Level
- 5
- Audience
- Postgraduate
- Type
- Coursework
- School
- Faculty of Science
- Faculty
- School of Mathematics
- Handbook year
- 2026
Prerequisites (1)
What it unlocks
Nothing in the visible graph depends on this unit.
Offerings (1)
- Second semesterClayton · ON-CAMPUS