2019 Advanced topics in Analysis G

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Academic unit or major
Graduate major in Mathematics
Instructor(s)
Ninomiya Syoiti 
Course component(s)
Lecture
Mode of instruction
 
Day/Period(Room No.)
Thr3-4(H137)  
Group
-
Course number
MTH.C503
Credits
1
Academic year
2019
Offered quarter
1Q
Syllabus updated
2019/3/18
Lecture notes updated
2019/4/4
Language used
English
Access Index

Course description and aims

This lecture and its sequel ``Advanced topics in analysis H'' are aimed at those wishing to learn about Ito integral (stochastic integral) and stochastic differential equations.

Student learning outcomes

Understanding the notions of martingales in continuous time setting, Brownian motion, Ito integral, and stochastic differential equations.

Keywords

Martingale, Browinian motion, Ito integral, Stochastic Differential Equation, Mathematical Finance

Competencies that will be developed

Specialist skills Intercultural skills Communication skills Critical thinking skills Practical and/or problem-solving skills

Class flow

Blackboard and handouts

Course schedule/Required learning

  Course schedule Required learning
Class 1 Probability Theory Details will be provided each class session.
Class 2 Stochastic Process
Class 3 Martingale(1), definition
Class 4 Martingale(2), Optional Sampling Theorem
Class 5 Quadratic Variational Process
Class 6 Brownian motion(1) definition, existence
Class 7 Brownian motion (2): important properties
Class 8 Ito Integral (Stochastic Integral)

Textbook(s)

None in particular.

Reference books, course materials, etc.

Taniguchi, S., ``Stochastic Differential Equations,'' Kyoritsu (in Japanese)
Kusuoka, S., ``Stochastic Analysis,'' Chisenshokan (in Japanese)

Assessment criteria and methods

Based on reports. Details will be provided in the class.

Related courses

  • MTH.C361 : Probability Theory
  • MTH.C504 : Advanced topics in Analysis H

Prerequisites (i.e., required knowledge, skills, courses, etc.)

None in particular

Other

None in particular

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