LEARNING OUTCOMES
After this course you will know how to apply real analysis methods in research.
Credits: 5
Schedule: 28.02.2022 - 08.04.2022
Teacher in charge (valid for whole curriculum period):
Teacher in charge (applies in this implementation): Juha Kinnunen
Contact information for the course (applies in this implementation):
CEFR level (valid for whole curriculum period):
Language of instruction and studies (applies in this implementation):
Teaching language: English. Languages of study attainment: English
CONTENT, ASSESSMENT AND WORKLOAD
Content
valid for whole curriculum period:
Lebesgue spaces (Hölder's and Minkowski's inequalities, Riesz-Fischer theorem, dual spaces and weak convergence), Hardy-Littlewood maximal function (Vitali covering theorem, Marcinkiewicz interpolation theorem, maximal function theorem, Lebesgue's differentiation theorem), convolution approximations, differentiation of Radon measures (Besicovitch covering theorem, Lebesgue points), Radon-Nikodym theorem, Riesz representation theorem, weak convergence and compactness for Radon measures, Sobolev spaces (Poincare and Sobolev inequalities).
Assessment Methods and Criteria
valid for whole curriculum period:
Teaching methods: lectures and tutorials
Assessment methods: homework assignments and attendance (100%)
Workload
valid for whole curriculum period:
Contact hours 36 h
Self-study ca 100h
DETAILS
Substitutes for Courses
valid for whole curriculum period:
Prerequisites
valid for whole curriculum period:
FURTHER INFORMATION
Further Information
valid for whole curriculum period:
Teaching Language : English
Teaching Period : 2022-2023 No teaching
2023-2024 Spring IVEnrollment :
Registration takes place in Sisu (sisu.aalto.fi).