- Department: Mathematics
- Credit value: 10 credits
- Credit level: M
- Academic year of delivery: 2022-23
Pre-requisite modules
Co-requisite modules
- None
Prohibited combinations
- None
Pre-requisite knowledge for MSc students: familiarity with and maturity in handling sets, functions, knowledge of (e.g. first courses in) both discrete and analytic number theory.
Occurrence | Teaching period |
---|---|
A | Autumn Term 2022-23 |
To continue the development of number theory.
To provide a deeper and more quantitative understanding of the structure of the real numbers through Diophantine approximation.
To illustrate the interplay of different branches of mathematics by the use of algebra, probability and basic results from the theory of Lebesgue measure and fractal geometry.
At the end of the module you should be able to:
Understand a range of ideas and techniques in Diophantine approximation.
Be familiar with the basic use of algebraic and probabilistic ideas within metric number theory.
Understand the role of fractals within number theory.
Understand the interplay between number theory and basic dynamical systems.
Syllabus
Continued fractions and best approximations to real numbers
Hurwitz's theorem
Continued fractions and quadratic irrationalities
Badly approximable numbers
The Borel-Cantelli Lemma
Khintchine's theorem on approximations by rational numbers
Hausdorff measures and dimension
The middle third Cantor set and its dimension
Hausdorff dimension and badly approximable numbers
The Jarnik-Besicovitch theorem
The Pigeonhole Principle and Dirichlet's theorem in higher dimensions
Minkowski's theorem for convex bodies and systems of linear forms
Task | % of module mark |
---|---|
Closed/in-person Exam (Centrally scheduled) | 100 |
None
Task | % of module mark |
---|---|
Closed/in-person Exam (Centrally scheduled) | 100 |
Current Department policy on feedback is available in the student handbook. Coursework and examinations will be marked and returned in accordance with this policy.
G H Hardy and E M Wright, The Theory of Numbers, Oxford University Press.