TheoremBase

The nonnegative case follows by approximating from below by simple functions and applying monotone convergence; the integrable case follows by splitting into positive and negative parts.

Proof

Step 0 (auxiliary facts). (a) Sums and scalar multiples of measurable functions are measurable. By claim 3 of Rational Intervals and Rays Generate the Borel Sigma-Algebra of the Real Line, a function h:Xβ†’Rh:X\to\mathbb{R} is measurable if and only if {h>a}∈F\{h>a\}\in\mathcal{F} for every real aa; we use this criterion in both directions. For real-valued measurable f,gf,g and a∈Ra\in\mathbb{R}: {f+g>a}=⋃q({f>q}∩{g>aβˆ’q})\{f+g>a\}=\bigcup_{q}\bigl(\{f>q\}\cap\{g>a-q\}\bigr), the union over the rational qq, which are countably many by The Integers and the Rational Numbers are Countable (if f(x)+g(x)>af(x)+g(x)>a, choose rational qq with f(x)>q>aβˆ’g(x)f(x)>q>a-g(x) by claim 1 of The Rational Numbers are Dense in the Real Numbers); each member is in F\mathcal{F}, so the union is. For c>0c>0, {cf>a}={f>a/c}\{cf>a\}=\{f>a/c\}; for c<0c<0, {cf>a}={f<a/c}\{cf>a\}=\{f<a/c\}, where {f<b}=Xβˆ–{fβ‰₯b}\{f<b\}=X\setminus\{f\ge b\} and {fβ‰₯b}=β‹‚j∈N{f>bβˆ’1/j}∈F\{f\ge b\}=\bigcap_{j\in\mathbb{N}}\{f>b-1/j\}\in\mathcal{F}, the inclusion βŠ‡\supseteq by The Archimedean Property of the Real Numbers; and for c=0c=0 the function cfcf is constant, hence measurable. The same identities give these facts for [0,∞][0,\infty]-valued measurable functions in the sense of Lebesgue Integral of a Nonnegative Measurable Function, with cβ‰₯0c\ge0 and the conventions of Measure, Measure Space, and Probability Measure. The same intersection gives {fβ‰₯b}∈F\{f\ge b\}\in\mathcal{F} for such ff and real bb. In the sum identity the choice of qq needs two extra cases. If f(x)+g(x)>af(x)+g(x)>a and g(x)=∞g(x)=\infty, take q=βˆ’1q=-1, which is less than f(x)β‰₯0f(x)\ge0. If f(x)=∞f(x)=\infty and g(x)g(x) is real, take a rational qq with aβˆ’g(x)<q<aβˆ’g(x)+1a-g(x)<q<a-g(x)+1, by claim 1 of The Rational Numbers are Dense in the Real Numbers. Conversely, f(x)>qf(x)>q and g(x)>aβˆ’qg(x)>a-q give f(x)+g(x)>af(x)+g(x)>a in every case.

(b) Simple approximation. Every measurable f:Xβ†’[0,∞]f:X\to[0,\infty] is the pointwise supremum of a nondecreasing sequence of nonnegative simple functions: put

sm(x)=min⁑{m,β€…β€Š2βˆ’m⌊2mf(x)βŒ‹}s_m(x)=\min\bigl\{m,\;2^{-m}\lfloor 2^{m}f(x)\rfloor\bigr\}

where ⌊tβŒ‹\lfloor t\rfloor denotes the greatest integer ≀t\le t and sm(x)=ms_m(x)=m when f(x)=∞f(x)=\infty. Each sms_m takes finitely many values, and its level sets are the sets {j2βˆ’m≀f<(j+1)2βˆ’m}\{j2^{-m}\le f<(j+1)2^{-m}\} for 0≀j<m2m0\le j<m2^{m} and {fβ‰₯m}\{f\ge m\}. Each of these lies in F\mathcal{F}, because {fβ‰₯b}∈F\{f\ge b\}\in\mathcal{F} for real bb and {f<b}=Xβˆ–{fβ‰₯b}\{f<b\}=X\setminus\{f\ge b\}. Hence smβˆ’1(B)s_m^{-1}(B), a finite union of level sets, lies in F\mathcal{F} for every Borel set BB, so sms_m is measurable. Further, sm≀sm+1s_m\le s_{m+1}, because 2βˆ’m⌊2mtβŒ‹β‰€2βˆ’mβˆ’1⌊2m+1tβŒ‹β‰€t2^{-m}\lfloor2^{m}t\rfloor\le2^{-m-1}\lfloor2^{m+1}t\rfloor\le t for real tβ‰₯0t\ge0. And sup⁑msm=f\sup_m s_m=f pointwise: if f(x)f(x) is real, then f(x)βˆ’2βˆ’m<sm(x)≀f(x)f(x)-2^{-m}<s_m(x)\le f(x) once m>f(x)m>f(x); if f(x)=∞f(x)=\infty, then sm(x)=ms_m(x)=m.

(c) Additivity for simple functions. If s,ts,t are nonnegative simple with standard representations on partitions (Ai)(A_i), (Bj)(B_j), then on the common refinement (Ai∩Bj)(A_i\cap B_j) both are constant, and computing the integral of s+ts+t over the refinement gives, by finite additivity of μ\mu (Measure, Measure Space, and Probability Measure) and rearrangement of finite sums,

∫X(s+t) dΞΌ=∫Xs dΞΌ+∫Xt dΞΌ,∫Xcs dΞΌ=c∫Xs dΞΌΒ (cβ‰₯0),\int_X(s+t)\,d\mu=\int_X s\,d\mu+\int_X t\,d\mu,\qquad \int_X cs\,d\mu=c\int_X s\,d\mu\ (c\ge 0),

using that the integral of a nonnegative simple function may be computed from any representation over a finite measurable partition on which it is constant (grouping equal values and adding measures).

Claim 1. Measurability of f+gf+g and cfcf is Step 0(a). For monotonicity, suppose f≀gf\le g. Every nonnegative simple function ss with s≀fs\le f also satisfies s≀gs\le g. So the set of values whose supremum defines ∫Xf dΞΌ\int_X f\,d\mu in Lebesgue Integral of a Nonnegative Measurable Function is contained in the set defining ∫Xg dΞΌ\int_X g\,d\mu, and hence ∫Xf dΞΌβ‰€βˆ«Xg dΞΌ\int_X f\,d\mu\le\int_X g\,d\mu. For additivity: take simple approximations sm↑fs_m\uparrow f, tm↑gt_m\uparrow g from Step 0(b); then sm+tm↑f+gs_m+t_m\uparrow f+g, and by Monotone Convergence Theorem and Step 0(c),

∫X(f+g) dΞΌ=sup⁑m∫X(sm+tm) dΞΌ=sup⁑m(∫Xsm dΞΌ+∫Xtm dΞΌ)=∫Xf dΞΌ+∫Xg dΞΌ,\int_X(f+g)\,d\mu=\sup_m\int_X(s_m+t_m)\,d\mu=\sup_m\Bigl(\int_X s_m\,d\mu+\int_X t_m\,d\mu\Bigr)=\int_X f\,d\mu+\int_X g\,d\mu,

the last step because both inner sequences are nondecreasing, so the supremum of the sum is the sum of the suprema in [0,∞][0,\infty]. The scalar case is analogous via csm↑cfcs_m\uparrow cf (for c>0c>0; c=0c=0 is trivial by the convention 0β‹…βˆž=00\cdot\infty=0).

Claim 2. Let f,gf,g be integrable and a,b∈Ra,b\in\mathbb{R}. af+bgaf+bg is measurable by Step 0(a). Since ∣f∣=f++fβˆ’|f|=f^{+}+f^{-}, claim 1 gives ∫∣fβˆ£β€‰dΞΌ=∫f+dΞΌ+∫fβˆ’dΞΌ<∞\int|f|\,d\mu=\int f^{+}d\mu+\int f^{-}d\mu<\infty, and likewise for gg. Pointwise ∣af+bgβˆ£β‰€βˆ£aβˆ£β€‰βˆ£f∣+∣bβˆ£β€‰βˆ£g∣|af+bg|\le|a|\,|f|+|b|\,|g|, so claim 1 (monotonicity, additivity and homogeneity) gives ∫∣af+bgβˆ£β€‰dΞΌ<∞\int|af+bg|\,d\mu<\infty. Writing h=af+bgh=af+bg, claim 1 again gives ∫∣hβˆ£β€‰dΞΌ=∫h+dΞΌ+∫hβˆ’dΞΌ\int|h|\,d\mu=\int h^{+}d\mu+\int h^{-}d\mu, so both integrals on the right are finite, and hh is integrable by Integrable Function and the Lebesgue Integral. For additivity with a=b=1a=b=1: write h=f+gh=f+g; from h+βˆ’hβˆ’=f+βˆ’fβˆ’+g+βˆ’gβˆ’h^{+}-h^{-}=f^{+}-f^{-}+g^{+}-g^{-} (pointwise identity of real numbers) we get

h++fβˆ’+gβˆ’=hβˆ’+f++g+h^{+}+f^{-}+g^{-}=h^{-}+f^{+}+g^{+}

pointwise, with all six functions nonnegative measurable; claim 1 gives equality of the integrals of the two sides, all terms finite, and rearranging real numbers yields ∫h dΞΌ=∫f dΞΌ+∫g dΞΌ\int h\,d\mu=\int f\,d\mu+\int g\,d\mu. For scalars: if aβ‰₯0a\ge 0 then (af)Β±=afΒ±(af)^{\pm}=af^{\pm} and claim 1 applies; if a<0a<0 then (af)+=(βˆ’a)fβˆ’(af)^{+}=(-a)f^{-} and (af)βˆ’=(βˆ’a)f+(af)^{-}=(-a)f^{+}, and the definition gives ∫af dΞΌ=a∫f dΞΌ\int af\,d\mu=a\int f\,d\mu. Combining, ∫(af+bg) dΞΌ=a∫f dΞΌ+b∫g dΞΌ\int(af+bg)\,d\mu=a\int f\,d\mu+b\int g\,d\mu.

Finally, Β±fβ‰€βˆ£f∣\pm f\le|f| pointwise, so by the integrable-case monotonicity β€” which follows since gβˆ’fβ‰₯0g-f\ge 0 implies ∫g dΞΌβˆ’βˆ«f dΞΌ=∫(gβˆ’f) dΞΌβ‰₯0\int g\,d\mu-\int f\,d\mu=\int(g-f)\,d\mu\ge 0 by additivity and nonnegativity of the integral of a nonnegative function β€” we get ±∫Xf dΞΌβ‰€βˆ«X∣fβˆ£β€‰dΞΌ\pm\int_X f\,d\mu\le\int_X|f|\,d\mu, i.e. ∣∫Xf dΞΌβˆ£β‰€βˆ«X∣fβˆ£β€‰dΞΌ\bigl|\int_X f\,d\mu\bigr|\le\int_X|f|\,d\mu. β– \blacksquare

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