Throughout, the section at xβX of a function on XΓY is its composite with the insertion yβ¦(x,y) (Precomposition Commutes with Pointwise Operations, and Sections of Functions Are Precompositions (iv)), and composites commute with the pointwise operations and send indicators to indicators of preimages, here of sections (Precomposition Commutes with Pointwise Operations, and Sections of Functions Are Precompositions (ii), Precomposition Commutes with Pointwise Operations, and Sections of Functions Are Precompositions (i), Rectangles, Sections and the Swap: Set Identities (iii)). So for functions f,g on XΓY, cβ[0,β], EβXΓY and xβX,
(f+g)xβ=fxβ+gxβ,(cf)xβ=cfxβ,(1Eβ)xβ=1Exββ,β£fβ£xβ=β£fxββ£,(fΒ±)xβ=(fxβ)Β±,
and if (fmβ) is a sequence of functions XΓYβ[0,β] and h(p)=supmβfmβ(p) for every pβXΓY, then hxβ(y)=supmβ(fmβ)xβ(y) for every yβY; likewise at yβY. Sections of measurable functions are measurable (The Product Ο-Algebra: Rectangles, Generators, Sections, Projections, Pairings and the Swap (v)): for fβM+(XΓY,FβG), fxββM+(Y,G) and fyβM+(X,F), and for a measurable f:XΓYβR, fxβ:YβR and fy:XβR are measurable.
Proof of (i). We prove that xβ¦β«YβfxβdΞ½ lies in M+(X,F) and that the first two integrals in the display agree. The statements about yβ¦β«XβfydΞΌ follow by the same argument with sections at y in place of sections at x, using the second formula of Existence and Uniqueness of the Product Measure (iii) in Step 1.
For fβM+(XΓY,FβG) write Ξ¦fβ(x)=β«YβfxβdΞ½ for xβX, and let H be the set of those fβM+(XΓY,FβG) for which
Ξ¦fββM+(X,F)andβ«XβΞ¦fβdΞΌ=β«XΓYβfd(ΞΌβΞ½).
We show H=M+(XΓY,FβG).
Step 1: indicators. Let EβFβG. Then 1EββM+(XΓY,FβG) and, as ExββG (The Product Ο-Algebra: Rectangles, Generators, Sections, Projections, Pairings and the Swap (iv)), Ξ¦1Eββ(x)=β«Yβ1ExββdΞ½=Ξ½(Exβ) (Basic Properties of the Integral of Nonnegative Measurable Maps (ii), on both spaces). By Existence and Uniqueness of the Product Measure (iii), Ξ¦1EβββM+(X,F) and
β«XβΞ¦1EββdΞΌ=β«XβΞ½(Exβ)dΞΌ(x)=(ΞΌβΞ½)(E)=β«XΓYβ1Eβd(ΞΌβΞ½).
So 1EββH.
Step 2: multiples. Let fβH and let cβ₯0 be real. Then (cf)xβ=cfxβ, and Basic Properties of the Integral of Nonnegative Measurable Maps (iv) on Y, on X and on XΓY gives Ξ¦cfβ=cΞ¦fββM+(X,F) and
β«XβΞ¦cfβdΞΌ=cβ«XβΞ¦fβdΞΌ=cβ«XΓYβfd(ΞΌβΞ½)=β«XΓYβcfd(ΞΌβΞ½).
So cfβH.
Step 3: nonnegative simple functions. Let sβS+(XΓY,FβG), let C=s[XΓY], a finite set of nonnegative reals, and let Ecβ=sβ1({c})βFβG for cβC (Simple Functions, Nonnegative Simple Functions, and the Simple Integral (iv)). Then
s=cβCββc1Ecββ,sxβ=cβCββc1(Ecβ)xββ(xβX)
pointwise (at pβXΓY the only term that can be nonzero is the one with c=s(p), Finite Sums: Vanishing Terms, Finite Additivity of Measures, and Finite Sums of Series in [0,β] (iii)), and each c1Ecββ lies in H by Steps 1 and 2. The integral of a finite sum in M+ is the sum of the integrals (Integrals of Finite Sums of Nonnegative Functions, and Constant Multiples of a Measure (i)). Applied on Y, this gives Ξ¦sβ=βcβCβΞ¦c1Ecβββ; applied on X, Ξ¦sββM+(X,F); and applied on X and on XΓY,
β«XβΞ¦sβdΞΌ=cβCβββ«XβΞ¦c1EcβββdΞΌ=cβCβββ«XΓYβc1Ecββd(ΞΌβΞ½)=β«XΓYβsd(ΞΌβΞ½).
So sβH.
Step 4: all of M+. Let fβM+(XΓY,FβG), and let smβ=smβ(f) be its dyadic approximations: smββS+(XΓY,FβG), smββ€sm+1β and f=supmβsmβ pointwise (Approximation of Measurable Functions by Dyadic Simple Functions (i)). By Step 3, smββH for every m. For xβX the sections (smβ)xβ increase to fxβ, so the monotone convergence theorem on (Y,G,Ξ½) (Monotone Convergence Theorem (ii)) gives
Ξ¦fβ(x)=msupβΞ¦smββ(x).
The functions Ξ¦smβββM+(X,F) increase with m (Basic Properties of the Integral of Nonnegative Measurable Maps (iii)), so Ξ¦fββM+(X,F) (Monotone Convergence Theorem (i)), and monotone convergence on (X,F,ΞΌ) and on (XΓY,FβG,ΞΌβΞ½) (Monotone Convergence Theorem (ii)) gives
β«XβΞ¦fβdΞΌ=msupββ«XβΞ¦smββdΞΌ=msupββ«XΓYβsmβd(ΞΌβΞ½)=β«XΓYβfd(ΞΌβΞ½).
So fβH, which proves (i).
Proof of (ii). Let fβL1(ΞΌβΞ½). Then β£fβ£,f+,fββM+(XΓY,FβG) and
β«XΓYββ£fβ£d(ΞΌβΞ½)=β«XΓYβf+d(ΞΌβΞ½)+β«XΓYβfβd(ΞΌβΞ½)<β
(Linearity and Monotonicity of the Lebesgue Integral, and the Integrability Criterion (iv)).
The exceptional set. Let G(x)=β«Yββ£fxββ£dΞ½. By (i) applied to β£fβ£, GβM+(X,F) and β«XβGdΞΌ=β«XΓYββ£fβ£d(ΞΌβΞ½)<β. By the integrability criterion on (Y,G,Ξ½) (Linearity and Monotonicity of the Lebesgue Integral, and the Integrability Criterion (iv)), fxββL1(Ξ½) if and only if G(x)<β, so
N={xβX:G(x)=β},
which lies in F and has ΞΌ(N)=0 by The Lebesgue Integral and Null Sets (v).
The function I. Let P(x)=β«Yβ(fxβ)+dΞ½ and Q(x)=β«Yβ(fxβ)βdΞ½. By (i) applied to f+ and fβ, P,QβM+(X,F) with
β«XβPdΞΌ=β«XΓYβf+d(ΞΌβΞ½)<β,β«XβQdΞΌ=β«XΓYβfβd(ΞΌβΞ½)<β.
Since G=P+Q (Linearity and Monotonicity of the Lebesgue Integral, and the Integrability Criterion (iv) on Y), P(x) and Q(x) are real for xβ/N. Let P~=P1XβNβ and Q~β=Q1XβNβ; they are real-valued and, as 1XβNββM+(X,F) (Basic Properties of the Integral of Nonnegative Measurable Maps (ii)), lie in M+(X,F) (Arithmetic of Measurable Real- and [0,β]-Valued Maps (iii)), and so are measurable as real functions (Measurable Maps: Generators, Composition, Continuous Maps, Restrictions, and Criteria for Real- and [0,β]-Valued Maps (vii)). As P~=P outside the null set N, β«XβP~dΞΌ=β«XβPdΞΌ<β (The Lebesgue Integral and Null Sets (ii)), so P~βL1(ΞΌ) with integral β«XΓYβf+d(ΞΌβΞ½) (Linearity and Monotonicity of the Lebesgue Integral, and the Integrability Criterion (vi)); likewise Q~ββL1(ΞΌ) with integral β«XΓYβfβd(ΞΌβΞ½).
For xβ/N, the definition of the integral of fxββL1(Ξ½) (Integrable Functions and Their Lebesgue Integral (iii)) gives I(x)=P(x)βQ(x)=P~(x)βQ~β(x), and for xβN, I(x)=0=P~(x)βQ~β(x). Hence I=P~βQ~ββL1(ΞΌ) and, by linearity (Linearity and Monotonicity of the Lebesgue Integral, and the Integrability Criterion (vii)) and the definition of the integral of f (Integrable Functions and Their Lebesgue Integral (iii)),
β«XβIdΞΌ=β«XβP~dΞΌββ«XβQ~βdΞΌ=β«XΓYβf+d(ΞΌβΞ½)ββ«XΓYβfβd(ΞΌβΞ½)=β«XΓYβfd(ΞΌβΞ½).
Proof of (iii). This is the argument for (ii) with sections at y in place of sections at x, using the second equality of (i) in place of the first.