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Measure, Integration & Real Analysis, 2021a

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Section 3A <strong>Integration</strong> with Respect to a <strong>Measure</strong> 85<br />

4 Give an example of a Borel measurable function f : [0, 1] → (0, ∞) such that<br />

L( f , [0, 1]) = 0.<br />

[Recall that L( f , [0, 1]) denotes the lower Riemann integral, which was defined<br />

in Section 1A. Ifλ is Lebesgue measure on [0, 1], then the previous exercise<br />

states that ∫ f dλ > 0 for this function f , which is what we expect of a positive<br />

function. Thus even though both L( f , [0, 1]) and ∫ f dλ are defined by taking<br />

the supremum of approximations from below, Lebesgue measure captures the<br />

right behavior for this function f and the lower Riemann integral does not.]<br />

5 Verify the assertion that integration with respect to counting measure is summation<br />

(Example 3.6).<br />

6 Suppose (X, S, μ) is a measure space, f : X → [0, ∞] is S-measurable, and P<br />

and P ′ are S-partitions of X such that each set in P ′ is contained in some set in<br />

P. Prove that L( f , P) ≤L( f , P ′ ).<br />

7 Suppose X is a set, S is the σ-algebra of all subsets of X, and w : X → [0, ∞]<br />

is a function. Define a measure μ on (X, S) by<br />

μ(E) = ∑ w(x)<br />

x∈E<br />

for E ⊂ X. Prove that if f : X → [0, ∞] is a function, then<br />

∫<br />

f dμ = ∑ w(x) f (x),<br />

x∈X<br />

where the infinite sums above are defined as the supremum of all sums over<br />

finite subsets of E (first sum) or X (second sum).<br />

8 Suppose λ denotes Lebesgue measure on R. Give an example of a sequence<br />

f 1 , f 2 ,... of simple Borel measurable functions from R to [0, ∞) such that<br />

lim k→∞ f k (x) =0 for every x ∈ R but lim k→∞<br />

∫<br />

fk dλ = 1.<br />

9 Suppose μ is a measure on a measurable space (X, S) and f : X → [0, ∞] is an<br />

S-measurable function. Define ν : S→[0, ∞] by<br />

∫<br />

ν(A) = χ A<br />

f dμ<br />

for A ∈S. Prove that ν is a measure on (X, S).<br />

10 Suppose (X, S, μ) is a measure space and f 1 , f 2 ,...is a sequence of nonnegative<br />

S-measurable functions. Define f : X → [0, ∞] by f (x) =∑ ∞ k=1 f k(x). Prove<br />

that<br />

∫<br />

∞ ∫<br />

f dμ = ∑ f k dμ.<br />

k=1<br />

11 Suppose (X, S, μ) is a measure space and f 1 , f 2 ,...are S-measurable functions<br />

from X to R such that ∑ ∞ ∫<br />

k=1 | fk | dμ < ∞. Prove that there exists E ∈Ssuch<br />

that μ(X \ E) =0 and lim k→∞ f k (x) =0 for every x ∈ E.<br />

<strong>Measure</strong>, <strong>Integration</strong> & <strong>Real</strong> <strong>Analysis</strong>, by Sheldon Axler

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