MA409      Half Unit
Continuous Time Optimisation

This information is for the 2013/14 session.

Teacher responsible

Prof Adam Ostoja-Ostaszewski


This course is available on the MSc in Applicable Mathematics and MSc in Risk and Stochastics. This course is available as an outside option to students on other programmes where regulations permit.


Students must have completed Further Mathematical Methods (MA212).

Course content

This is a course in optimisation theory using the methods of the Calculus of Variations. No specific knowledge of functional analysis will be assumed and the emphasis will be on examples. It introduces key methods of continuous time optimisation in a deterministic context, and later under uncertainty. Calculus of variations and the Euler-Lagrange Equations. Sufficiency conditions. Pontryagin Maximum Principle. Extremal controls. Transversality conditions. Linear time-invariant state equations. Bang-bang control and switching functions. Singular control. Dynamical programming. Control under uncertainty. Itô's Lemma. Hamilton-Jacobi-Bellman equation. Verification lemma. Applications to Economics and Finance: Economic Growth models, Consumption and investment, Optimal Abandonment. If time allows: Black-Scholes model.


20 hours of lectures and 20 hours of seminars in the LT. 6 hours of lectures and 6 hours of seminars in the ST.

Indicative reading

A full set of lecture notes will be provided. Reference will be made to the following books: E R Pinch, Optimal Control and the Calculus of Variations, Oxford Science Publications; G Leitmann, Calculus of Variations and Optimal Control, Plenum; A K Dixit & R S Pindyck, Investment under Uncertainty, Princeton University Press; D Duffie, Security Markets, Academic Press; D J Bell & D H Jacobsen, Singular Optimal Control, Academic Press; J L Troutman, Variational Calculus and Optimal Control, Springer; W H Fleming & R W Rishel, Deterministic and Stochastic Optimal Control, Springer; W H Fleming; H M Soner Controlled Markov Processes & Viscosity Solutions, Springer; G Hadley; M C Kemp, Variational Methods in Economics, North Holland; D Burghes; A Graham Control and Optimal Control Theories with Applications,Horwood.


Exam (100%, duration: 2 hours) in the main exam period.

Key facts

Department: Mathematics

Total students 2012/13: 24

Average class size 2012/13: 25

Value: Half Unit

Guidelines for interpreting course guide information

Personal development skills

  • Self-management
  • Problem solving
  • Application of information skills
  • Communication
  • Application of numeracy skills
  • Specialist skills