Applied Analysis
The purpose of this course is to learn a variety of mathematical methods for deriving useful approximate solutions of the differential equations and integrals found in the Mathematical Sciences. The course will be structured as follows: 1. Existence and uniqueness results for ordinary differential equations: The Lipschitz condition and Picard’s theorem. Comparison theorems. 2. Integral Equations: The Volterra integral equation and initial value problems, the Fredholm integral equation and boundary value problems. 3. Sturm-Liouville Theory: The adjoint differential operator, the Sturm-Liouville problem, basic properties of a Sturm-Liouville eigenvalue problem, unboundedness of the eigenvalues, completeness in the appropriate sense of the set of eigenfunctions 4. Theory of Infinite-dimensional vector spaces: Inner product spaces, complete metric spaces, Hilbert spaces, square summable series and square integrable functions
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Who teaches it
Named by students in their reviews. These ratings cover this module only, and don't count towards its overall score.
- Lennon Ó NáraighModule coordinator
3.0Mixed teaching1 rating · Spring 2025/26
Reviews(1)
Anonymous Student
Sep 22, 2026
In practice
Two lectures and a tutorial each week, with a generously graded homework assignment for 20%