Measure theory [ LMAT1322 ]
3.0 crédits ECTS
22.5 h + 15.0 h
1q
Teacher(s) |
Roselli Paolo ;
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Language |
French
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Place of the course |
Louvain-la-Neuve
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Prerequisites |
Analysis 1, 2 and 3.
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Main themes |
Chapter I. Lebesgue outer measure ;
Chapter II. Measures on a sigma-algebra;
Chapter III. Integration ;
Chapter IV. Product measures ; Tonelli's and Fubini's theorems ;
Chapter V. Lebesgue decomposition theorem (and the Radon-Nikodym theorem) ;
Chapter VI. Riesz representation theorem.
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Aims |
this teaching unit should bring its students to acquire an expertise, in an abstract setting, of the fundamental theorems related to integration which have already be taught during the previous courses in analysis, in the special case when the underlying space is the n-dimensional Euclidean space ; it should also give to its students an experience in the specific techniques of measure theory.
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Evaluation methods |
a final oral assignment will be divided in two parts ; the first part will test the students on the content of the weekly lectures, on a basis of three questions (one of which concerning either convergence theorems, Tonelli's or Fubini's theorems or Riesz representation theorem) ; the second part will count two exercise assignments, and students will be required to solve one of them.
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Teaching methods |
The lectures (22h30) will be taught at an hebdomadary rythm of 2 hours. Besides those, exercise assignments (15h) will be given to the students twice a month.
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Content |
we shall start from historical motivations and from the example of the outer Lebesgue measure on the real line, and prove in this context various results which generalize easily to arbitrary measures. Afterwards, we shall introduce the abstract notion of measure, keeping in mind our previously acquired experience in the Lebesgue setting. The most famous and useful integration theorems will then be proved in this new context.
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Bibliography |
The approach we shall use is close in spirit to H.L.Royden 'Real Analysis', to G.B.Folland 'Real Analysis', and to D.L.Cohn 'Measure Theory'.
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Cycle et année d'étude |
> Bachelor in Information and Communication
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> Bachelor in Motor skills : General
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> Bachelor in Sociology and Anthropology
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> Bachelor in Mathematics
> Bachelor in Biomedicine
> Bachelor in Engineering
> Bachelor in Religious Studies
> Master [120] in Statistics: General
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Faculty or entity in charge |
> MATH
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