Slides Chapter 1. Measure Theory and Probability
Slides Chapter 1. Measure Theory and Probability
Slides Chapter 1. Measure Theory and Probability
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<strong>1.</strong>6. MEASURABILITY AND LEBESGUE INTEGRAL<br />
Definition <strong>1.</strong>29 (Lebesgueintegralfor generalfunctions)<br />
For a measurable function f that can take negative values, we can<br />
write it as the sum of two non-negative functions in the form:<br />
f = f + −f − ,<br />
wheref + (ω) = max{f(ω),0}isthepositive part off <strong>and</strong>f − (ω) =<br />
max{−f(ω),0} is the negative part of f. If the integrals of f +<br />
<strong>and</strong> f − are finite, then the Lebesgue integral of f is<br />
∫ ∫ ∫<br />
f dµ = f + dµ− f − dµ,<br />
Ω<br />
Ω<br />
assuming that at least one of the integrals on the right is finite.<br />
Definition <strong>1.</strong>30 TheLebesgue integral ofameasurablefunction<br />
f over a subset A ∈ A is defined as<br />
∫ ∫<br />
f dµ = f1 A dµ.<br />
A<br />
Definition <strong>1.</strong>31 A function is said to be Lebesgue integrable if<br />
<strong>and</strong> only if ∣∫<br />
∣∣∣ f dµ<br />
∣ < ∞.<br />
Ω<br />
Moreover, if instead of doing the decomposition f = f + − f −<br />
we do another decomposition, the result is the same.<br />
Theorem <strong>1.</strong>6 Letf 1 ,f 2 ,g 1 ,g 2 benon-negative measurable functions<br />
<strong>and</strong> let f = f 1 −f 2 = g 1 −g 2 . Then,<br />
∫ ∫ ∫ ∫<br />
f 1 dµ− f 2 dµ = g 1 dµ− g 2 dµ.<br />
Ω<br />
Ω<br />
Proposition <strong>1.</strong>10 A measurable function f is Lebesgue integrable<br />
if <strong>and</strong> only if |f| is Lebesgue integrable.<br />
Ω<br />
Ω<br />
Ω<br />
Ω<br />
ISABEL MOLINA 27