Mathematical Sciences Institute · ANU College of Systems and Society
This course is intended both for mathematics students and for those using mathematics at a high level in theoretical physics, engineering and information technology, and mathematical economics. Selected topics from below will be covered: Hilbert spaces - orthogonality, bounded linear operators, Riesz representation, adjoints, unitary operators, compact operators, the spectral theorem for compact self-adjoint operators with applications. Measure theory - abstract measure theory, integration, signed measures, total variation, absolute continuity, the Lebesgue-Radon-Nikodym theorem, Hausdorff measure. Banach spaces - bounded linear operators, dual spaces, adjoints, the Hahn-Banach theorem, Baire category theorem and its consequences (uniform boundedness principle, closed graph and open mapping theorems), weak convergence, sequential version of Banach-Alaoglu theorem, interpolation. Applications to harmonic analysis and partial differential equations, such as the Fourier transform, maximal functions, singular integrals, Strichartz estimates. Note: Graduate students attend joint classes with undergraduates enrolled in MATH3325 but will be assessed separately.
Regular written assignments Regardless of performance on other assessment items, a minimum score of 35% on the regular written assignments is required to pass the course. (This is known as a 'course hurdle'.)
Learning outcomes 1, 2, 3, 4, 5
Quizzes
Learning outcomes 1, 2, 3, 4
Midsemester Exam
Learning outcomes 1, 2, 3, 4
Final Exam
Learning outcomes 1, 2, 3, 4
The expected workload will consist of approximately 130 hours throughout the semester including: • Face-to face component which will consist of 3x1 hours (or 1x2 hours lecture and 1x1 hours) lectures per week for 12 week semester (36 hours) and 10x1 hours of workshops throughout the semester. • Approximately 84 hours of self-directed study which will include preparation for lectures, workshops, assignments, and exams.
E. M. Stein & R. Shakarchi, Real Analysis: Measure Theory, Integration, and Hilbert Spaces E. M. Stein & R. Shakarchi, Functional Analysis: Introduction to Further Topics in Analysis Preliminary Reading H. Brezis, Functional Analysis, Sobolev Spaces and Partial Differential Equations