Each result cited is universally quantified over the data appearing in its own statement, and is applied here to the data named in the statement above.
If X is empty, then the unique map XβR is measurable and its set of values is empty, hence finite, so it is a simple function and the constant sequence with that term satisfies every condition in the three claims vacuously. We therefore assume throughout that X is nonempty.
For a real number y we write βyβ for the integer part of y, the unique integer n with nβ€y<n+1. We shall use twice the inequality mβ€2m, valid for every mβN by induction: 1β€2, and if mβ€2m then m+1β€2m+1β€2m+2m=2m+1, since 1β€2m.
We also record once that for a measurable f:Xβ[0,β] and a real c the set Acβ={xβX:cβ€f(x)} belongs to F: for 0<c this is part of The Lebesgue Integral and Null Sets: Almost-Everywhere Comparison, Markov's Inequality, and Dominated Convergence Almost Everywhere Β§markov, and for cβ€0 we have Acβ=X because f is nonnegative. A real-valued measurable map with nonnegative values is measurable as a map into [0,β], by the agreement of the two readings recorded in Measure Spaces and the Lebesgue Integral: Standing Notation Β§measurable, so the same applies to it.
Claim 1. Fix mβN, put M=m2mβN and tiβ=i/2m for integers i with 0β€iβ€M, and define smβ:XβR by
smβ(x)=min{m,Β 2m1ββ2mf(x)β}Β Β ifΒ f(x)<β,smβ(x)=mΒ Β ifΒ f(x)=β.
(a) The values of smβ. Let x satisfy f(x)<β and put k=β2mf(x)β, so that kβ€2mf(x)<k+1. Since 0β€f(x) we have 0β€2mf(x), and k<0 would give k+1β€0β€2mf(x), contradicting 2mf(x)<k+1; hence 0β€k. If kβ€M then smβ(x)=min{m,tkβ}, which is tkβ or tMβ=m; if M<k then m=tMβ<tkβ and smβ(x)=m=tMβ. Together with the value m=tMβ taken where f(x)=β, this shows that smβ takes its values in Vmβ={t0β}βͺ{tiβ:iβ[M]}. The set [M] has M elements by claim 1 of Basic Properties of Finite Sets, so its image under iβ¦tiβ is finite by claim 4 of that lemma, and adjoining the single element t0β leaves a finite set by claim 2 of that lemma (or the same set, if t0β already belongs to the image). The set of values of smβ is a subset of the finite set Vmβ, hence finite by claim 3 of that lemma.
(b) Measurability. Let 0β€i<M. We show smβ1β({tiβ})=AtiβββAti+1ββ. If f(x)<β and k=β2mf(x)β, then k<M implies tkβ<m and hence smβ(x)=tkβ, while Mβ€k implies mβ€tkβ and hence smβ(x)=m=tMβ; as the numbers t0β,β¦,tMβ are distinct, smβ(x)=tiβ holds exactly when k=i, that is exactly when iβ€2mf(x)<i+1, that is exactly when tiββ€f(x)<ti+1β. If f(x)=β then smβ(x)=tMβξ =tiβ, and also xβAti+1ββ. This proves the asserted identity, and the right-hand side belongs to F.
Next, smβ1β({tMβ})=Amβ. Indeed if f(x)=β both sides contain x; and if f(x)<β then, by the description just given, smβ(x)=tMβ holds exactly when Mβ€k, which holds exactly when Mβ€2mf(x) (if Mβ€k then Mβ€kβ€2mf(x); conversely M is an integer with Mβ€2mf(x), so Mβ€β2mf(x)β=k), that is exactly when mβ€f(x). So smβ1β({tMβ})βF.
Since smβ takes its values among t0β,β¦,tMβ, for every Borel subset B of the real line the set smβ1β(B) is the union of those finitely many sets smβ1β({tiβ}) for which tiββB, hence belongs to F. Thus smβ is measurable and, by (a), a simple function; it is nonnegative because each tiβ is.
(c) smββ€f. If f(x)=β this is clear. Otherwise smβ(x)β€tkβ=k/2mβ€f(x), since kβ€2mf(x).
(d) Monotonicity in m. If f(x)=β then smβ(x)=mβ€m+1=sm+1β(x). Otherwise write u=f(x), k=β2muβ and kβ²=β2m+1uβ. The integer 2k satisfies 2kβ€2β
2mu=2m+1u<kβ²+1, so 2k<kβ²+1 and therefore 2kβ€kβ², both being integers. Dividing by 2m+1 gives k/2mβ€kβ²/2m+1. Since also mβ€m+1, taking the smaller of the two entries on each side gives smβ(x)β€sm+1β(x).
(e) The pointwise least upper bound. Fix x. If f(x)=β, then smβ(x)=m for every m, and by The Archimedean Property of the Real Numbers the set {m:mβN} has no real upper bound, so its least upper bound in [0,β] is β=f(x). Suppose f(x)=u<β. By (c) the number u is an upper bound of {smβ(x):mβN}. Let c be a real number with c<u. By The Archimedean Property of the Real Numbers there is mβN with u<m and 1/(uβc)<m, hence 1/m<uβc. For this m we have k/2mβ€u<m, so smβ(x)=k/2m; and 2mu<k+1 gives uβ1/2m<k/2m, while 1/2mβ€1/m<uβc because mβ€2m. Therefore smβ(x)=k/2m>uβ(uβc)=c, so c is not an upper bound. Hence u is the least upper bound, as asserted.
Claim 2. Fix mβN and define smβ(x)=2m1ββ2mf(x)β, which is meaningful because f is real-valued. From kβ€2mf(x)<k+1 with k=β2mf(x)β we get at once
0β€f(x)βsmβ(x)<2m1β,
which is the assertion. As in (a) above, 0β€k; and kβ€2mf(x)β€2mK, so kβ€Mβ²=β2mKβ because Mβ² is the greatest integer not exceeding 2mK. Hence smβ takes its values in {0}βͺ{i/2m:iβ[Mβ²]} when 1β€Mβ², and in {0} otherwise; in either case this set is finite, exactly as in (a). The preimages are smβ1β({i/2m})=Ai/2mββA(i+1)/2mβ for 0β€iβ€Mβ², by the computation of (b) with the truncation absent, and these belong to F; so smβ is a nonnegative simple function, as in (b).
Claim 3. Let f+=max(f,0) and fβ=max(βf,0) be the positive and negative parts of Integrable Function and the Lebesgue Integral, so that f=f+βfβ and β£fβ£=f++fβ pointwise; they are measurable by claims 1, 2 and 4 of Arithmetic, Absolute Values, and Pointwise Limits of Measurable Real-Valued Functions and take nonnegative real values. Apply claim 1 to f+ and to fβ, obtaining sequences (pmβ) and (qmβ) of nonnegative simple functions, nondecreasing in m, with pmββ€f+ and qmββ€fβ pointwise and with pointwise least upper bounds f+ and fβ. Put smβ=pmββqmβ, measurable by claim 2 of Arithmetic, Absolute Values, and Pointwise Limits of Measurable Real-Valued Functions.
Fix x. If 0β€f(x) then fβ(x)=0, so 0β€qmβ(x)β€0 and smβ(x)=pmβ(x); if f(x)<0 then f+(x)=0, so pmβ(x)=0 and smβ(x)=βqmβ(x). Hence, writing V and Vβ² for the sets of values of pmβ and of qmβ, which are finite and nonempty, the set of values of smβ is contained in the union of V and the image of Vβ² under vβ¦βv. That image is finite by claim 4 of Basic Properties of Finite Sets, the union of the two finite sets is finite by Peeling an Element off a Finite Set, and Unions of Finite Sets, and a subset of it is finite by claim 3 of Basic Properties of Finite Sets. So each smβ is a simple function.
In the first case β£smβ(x)β£=pmβ(x)β€f+(x)=β£f(x)β£, and in the second β£smβ(x)β£=qmβ(x)β€fβ(x)=β£f(x)β£; so β£smββ£β€β£fβ£ pointwise.
Finally, in the first case (smβ(x))mβ=(pmβ(x))mβ is nondecreasing with least upper bound f+(x)=f(x), which is a real number, so it converges to f(x) by A Bounded Monotone Sequence of Real Numbers Converges Β§nondecreasing; in the second case (qmβ(x))mβ is nondecreasing with least upper bound fβ(x), so it converges to fβ(x) by the same result, and hence (smβ(x))mβ=(βqmβ(x))mβ converges to βfβ(x)=f(x) by claim 3 of Arithmetic of Limits of Real Sequences. In both cases (smβ(x))mβ converges to f(x).