Unit information: Martingale Theory with Applications 3 in 2010/11

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Unit name Martingale Theory with Applications 3
Unit code MATH36204
Credit points 10
Level of study H/6
Teaching block(s) Teaching Block 1 (weeks 1 - 12)
Unit director Dr. Yu
Open unit status Not open
Pre-requisites

Applied Probability 2 (MATH 21400)

Co-requisites

None

School/department School of Mathematics
Faculty Faculty of Science

Description including Unit Aims

The theory of martingales is of fundamental importance to probability theory, statistics, and mathematical finance. This unit is a concise introduction of the basic concepts, results and examples of this powerful and elegant theory. Along with lectures given by the main lecturer, there will be one week of lectures given by other staff that are devoted to specific examples of the application of martingale theory in current area of research in probability and statistics.

Aims

To stimulate through theory and examples, an interest and appreciation of the power of this elegant method in probability theory. And to lay foundations for further studies in probability theory.

Syllabus

Conditional expectation; definition of Martingales; optimal stopping theorem; martingale convergence theorem; L^2 martingales; Doob-Meyer decomposition; example of applications given by guest lecturers.

Relation to Other Units

Applied Probability 2 has introduced Martingales, but only covers the most basic of results. This unit will prove most of the results in a rigorous fashion, and will be essential for students who wish to go on to study post-graduate level probability theory. In particular, students will find the understanding of material in this unit very helpful in other related units, such as Financial Mathematics (MATH 35400) and Stochastic Processes (MATH M6006).

Intended Learning Outcomes

To gain an understanding of martingales, and to be able to formulate problems in probability/statistics theory in terms of martingales. Students will also gain more experience in writing proofs, thus laying the foundation for future studies in probability theory at a post-graduate level.

Transferable skills:

Formulation of probability/statistics problems in terms of martingales. Better ability in writing proofs.

Teaching Information

Lectures and homework assignments. Bi-weekly assignments to be done by the student and handed in for marking.

Assessment Information

The assessment mark for this unit will be based on a 1½-hour written examination in April consisting of THREE questions. A candidate's best TWO answers will be used for assessment. Calculators will NOT be permitted during this examination.

Reading and References

Williams, D., Probability with Martingales (CUP), Chapters 9-12.