Introduction to Measure Theory, Section 1.3.3: Unsigned Lebesgue integrals #
A companion to (the introduction to) Section 1.3.3 of the book "An introduction to Measure Theory".
Definition 1.3.12 (Lower unsigned Lebesgue integral)
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- LowerUnsignedLebesgueIntegral f = sSup {R : EReal | ∃ (g : EuclideanSpace' d → EReal) (hg : UnsignedSimpleFunction g), ∀ (x : EuclideanSpace' d), g x ≤ f x ∧ R = hg.integ}
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Definition 1.3.12 (Upper unsigned Lebesgue integral)
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- UpperUnsignedLebesgueIntegral f = sInf {R : EReal | ∃ (g : EuclideanSpace' d → EReal) (hg : UnsignedSimpleFunction g), ∀ (x : EuclideanSpace' d), g x ≥ f x ∧ R = hg.integ}
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Exercise 1.3.10(i) (Compatibility with the simple integral)
Exercise 1.3.10(ii) (Monotonicity)
Exercise 1.3.10(iii) (Homogeneity)
Exercise 1.3.10(iv) (Equivalence)
Exercise 1.3.10(v) (Superadditivity)
Exercise 1.3.10(vi) (Subadditivity of upper integral)
Exercise 1.3.10(vii) (Divisibility)
Exercise 1.3.10(viii) (Vertical truncation)
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Exercise 1.3.10(ix) (Horizontal truncation)
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Exercise 1.3.10(x) (Reflection)
Definition 1.3.13 (Unsigned Lebesgue integral). For Lean purposes it is convenient to assign a "junk" value to this integral when f is not unsigned measurable.
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Exercise 1.3.11
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Multiplying an unsigned measurable function by a ball indicator preserves measurability. This is a key helper for the horizontal truncation argument in Corollary 1.3.14.
Helper: horizontal truncation produces functions with finite measure support.
Additivity of lower integral for finite-support functions. This is the key step where we can apply eq_upperIntegral and use the sandwich argument.
Corollary 1.3.14 (Finite additivity of Lebesgue integral )
Exercise 1.3.12 (Upper Lebesgue integral and outer measure)
Exercise 1.3.13 (Area interpretation of integral)
Exercise 1.3.14 (Uniqueness)
Exercise 1.3.15 (Translation invariance)
Exercise 1.3.16 (Linear change of variables)
Exercise 1.3.17 (Compatibility with the Riemann integral)
Lemma 1.3.15 (Markov's inequality)
Exercise 1.3.18 (ii)
Exercise 1.3.18 (ii)