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Measure Theory (V): Lebesgue Integration (II)

In this post, we extend the Lebesgue integral from nonnegative measurable functions to all measurable functions.

Measurable functions

Recall that the positive part and negative part of $f$ are defined by $f^+=\max(f,0)$, $f^-=-\min(f,0)$, with the following properties:

  • $f^+,f^-\geq0$;
  • $f^+-f^-=f$; and
  • $f^++f^-=\lvert f\rvert$.

Then we can just define the Lebesgue integral of $f$ by

whenever RHS is defined (ie. when the two integrals are not both $\infty$). We say that $f$ is $\mu$-integrable, or integrable, if both integrals on RHS are finite.

Note that this definition agrees with the previous definition on nonnegative measurable functions, since for any $f\geq0$ we have $f^+=f$ and $f^-=0$.

For convenience, we write

for any measurable set $A\in\Sigma$.

Proposition: The Lebesgue integral satisfies the following properties on all measurable functions:

  1. Linearity: For all $c\in\bb R$, we have

  2. Monotonicity: If $f\geq g$, then $\int\!f\,d\mu\geq\int\!g\,d\mu$.
  3. $\int\!\lvert f\rvert\,d\mu=0$ if and only if $f=0$ $\mu$-a.e.
  4. If $f=g$ $\mu$-a.e., then $\int\!f\,d\mu=\int\!g\,d\mu$.
  5. $f$ is integrable if and only if $\lvert f\rvert$ is integrable.

Note that it is possible for the Lebesgue integral to be undefined; thus, whenever we say that two integrals are equal, we mean the following: if one of the integrals is defined, then both are defined and are equal to each other.

Proof: (1): We have

To prove additivity, we essentially analyse each combination of the signs of the functions. Given measurable functions $f,g$, define

and similarly $S_{-+}^+,S_{-+}^-,S_{- -}$: the subscripts indicate the signs of $f,g$, and the superscripts indicate the sign of $f+g$. Then

Now note that

and similarly for the other three cases. Plugging these six integrals into the previous expression and collecting terms gives

(2): This follows from the fact that $f\geq g$ implies $f^+\geq g^+$ and $f^-\leq g^-$.

(3): Note that both statements are equivalent to the condition that $\lvert f\rvert=0$ $\mu$-a.e.

(4): If $f=g$ $\mu$-a.e. then $f-g=0$ $\mu$-a.e., so

ie. $\int\!f\,d\mu=\int\!g\,d\mu$.

(5): Note that

and LHS is finite if and only if both terms in RHS are finite. $\qed$

Example: Counting measure

Let us work out an explicit example, when $\mu$ is the counting measure on $\Omega$, and $\Sigma=\mc P(\Omega)$. In this case, every function $f:\Omega\to\bb R$ is measurable.

For $f\geq0$, note that $f\chi_F$ is a nonnegative step function for every finite subset $F\subseteq\Omega$. Hence

On the other hand, for any nonnegative step function $0\leq\varphi\leq f$, let $A=\{\varphi>0\}$, and note that:

  • If $A$ is finite, then $\varphi\leq f\chi_A$, so

  • If $A$ is infinite, then $\varphi$ attains some nonzero value infinitely often (since the image of $A$ is finite), say $\lvert\varphi^{-1}(a)\rvert=\infty$. Then

    so $I(\varphi)=\infty$. On the other hand, for any finite subset $B\subseteq\varphi^{-1}(a)$, we have

    which is unbounded as we increase $\lvert B\rvert$.

In either case, we deduce that

where the supremum is taken over all finite subsets $F\subseteq\Omega$.

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