Topology and Analysis III
Go to this course in the University Course Planner.
Solving equations is a crucial aspect of working in mathematics, physics, engineering, and many other fields. These equations might be straightforward algebraic statements, or complicated systems of differential equations, but there are some fundamental questions common to all of these settings: does a solution exist? If so, is it unique? And if we know of the existence of some specific solution, how do we determine it explicitly or as accurately as possible? This course develops the foundations required to rigorously establish the existence of solutions to various equations, thereby laying the basis for the study of solutions. Through an understanding of the foundations of analysis, we obtain insight critical in numerous areas of application, such areas ranging across physics, engineering, economics and finance.
To introduce students to the foundational ideas and
results in modern topology and analysis so as to equip them for
further studies in these areas or to be able to use this knowledge in
other fields such as differential equations, optimization, Fourier
series and mathematical physics. At the end of this course, students should:
understand how the notion of limit, introduced informally in
Mathematics I is made rigourous and applied in the more general
settings of normed vector spaces and metric spaces,
understand what a metric space is and how notions such as
continuity are interpreted in this framework and appreciate the
importance of the notion of compactness,
understand how to apply the Contraction Mapping Theorem to find the
solutions to various mathematical problems.
Topics covered are: sets, functions, metric spaces and normed linear spaces, compactness, connectedness, and completeness. Banach fixed point theorem and applications, uniform continuity and convergence. General topological spaces, generating topologies, topological invariants, quotient spaces. Introduction to Hilbert spaces and bounded operators on Hilbert spaces.
For students wishing to study mathematical
physics, the theory of differential equations, signal processing,
or any analysis area in Pure Mathematics this course is