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URL study guide

https://tue.osiris-student.nl/onderwijscatalogus/extern/cursus?cursuscode=2WAF0&collegejaar=2025&taal=en

Description

Metric spaces: basis notions of topology and convergence,
completeness of metric spaces, compactness.
Normed vector spaces and Banach spaces: linear operators 
and linear functionals, bounded linear operators and continuity,
range, null space and inverse operator, dual space.
Inner product spaces and Hilbert spaces: inner products and 
orthogonality, (total) orthonormal sequences, Fourier series,
Bessel inequality and Parseval relation, Riesz representation 
theorem, Hilbert adjoint operator.
Approximation of periodic functions with Fourier series: 
pointwise and uniform convergence of Fourier series.

Objectives

- a profound knowledge of the topological structure of metric 
spaces, and being able to provide proofs of elementary properties
of metric spaces.

- being able to carry out proofs for well-known metric spaces,
like l_p and L_p spaces, or the space of continuous functions 
on a compact interval.

- being able to prove whether a metric space is complete, 
and whether a subset of a metric space is compact. 

- a profound knowledge of both the algebraic and topological
structure of normed vector spaces and Banach spaces, and being
able to provide proofs of elementary properties of these spaces.

- being able to check whether an operator between normed vector 
spaces is linear and/or continuous/bounded. Being able to compute 
the norm of a bounded linear operator. Being able to determine 
the range and null space of a linear operator, and if applicable
its inverse.

- understand the notion of dual spaces, and being able to 
determine the dual space of a Banach space. Know that the dual 
space of a normed vector space is complete.

- a profound knowledge of the algebraic, topological and geometric
structure of inner product spaces and Hilbert spaces, and being
able to provide proofs of elementary properties of these spaces.

- understand the relationship between orthogonality and minimal 
distance. Being able to carry out proofs concerning orthogonal 
complements and orthogonal projections.

- know the notion of (total) orthonormal sets and sequences, 
including the relationship with Fourier series, the 
Bessel inequality and Parseval relation. Being able to use 
Fourier series for approximation in Hilbert spaces.

- being able to determine the classical Fourier series of 
simple periodic functions, and to check their convergence 
properties, i.e. being able to investigate the pointwise or 
uniform convergence of classical Fourier series.

- knowledge of the Riesz representation theorem for linear 
functionals on Hilbert spaces, and being able to apply 
this theorem, for example in the definition of the 
Hilbert adjoint operator

Method of Assessment

Written examination
Course period1/09/1331/08/26
Course levelAdvanced
Course formatCourse