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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

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Offerings (1)

  • Second semesterClayton · ON-CAMPUS