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Unit · year 3

MU-302 · Measure & Integration

Threads space · chance24 lectures5 theorems

The Lebesgue theory: a robust notion of size and integral.

PREREQUISITES

MU-201

Lectures

L01
Why the Riemann Integral Is Not Enough
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L02
Algebras, σ-Algebras, and Measurable Spaces
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L03
Measures and Their Basic Properties
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L04
Outer Measures
L05
Carathéodory's Extension Theorem
L06
Construction of Lebesgue Measure
L07
Non-Measurable Sets and the Axiom of Choice
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L08
Measurable Functions
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L09
Simple Functions and Approximation
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L10
The Lebesgue Integral of Non-Negative Functions
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L11
The Monotone Convergence Theorem
L12
Fatou's Lemma
L13
Integrable Functions and Linearity
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L14
The Dominated Convergence Theorem
L15
Comparison with the Riemann Integral
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L16
Modes of Convergence: a.e., in Measure, in Lᵖ
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L17
Lᵖ Spaces and Hölder's Inequality
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L18
Minkowski's Inequality and Completeness of Lᵖ
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L19
Product Measures
L20
The Fubini–Tonelli Theorem
L21
Signed Measures and the Hahn Decomposition
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L22
Radon–Nikodym Derivatives and Densities
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L23
Differentiation of Measures and Lebesgue Points
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L24
Synthesis: Limits That Pass Through the Integral

Theorems in this unit