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Proof of Approximation of Measurable Functions by Simple Functions

lemmalem:simple-function-approximation-2026a
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Β· 8,294 chars Β· 11 deps Β· depth 17 Reason: First version. Explicit dyadic truncations built from the integer part, with simplicity and monotonicity checked directly.

The approximating functions are the dyadic truncations of the integrand, built from the integer part; monotonicity and convergence are checked pointwise, and the real-valued case is obtained from the positive and negative parts.

Proof

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 XX is empty, then the unique map X→RX\to\mathbb{R} 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 XX is nonempty.

For a real number yy we write ⌊yβŒ‹\lfloor y\rfloor for the integer part of yy, the unique integer nn with n≀y<n+1n\le y<n+1. We shall use twice the inequality m≀2mm\le 2^{m}, valid for every m∈Nm\in\mathbb{N} by induction: 1≀21\le 2, and if m≀2mm\le 2^{m} then m+1≀2m+1≀2m+2m=2m+1m+1\le 2^{m}+1\le 2^{m}+2^{m}=2^{m+1}, since 1≀2m1\le 2^{m}.

We also record once that for a measurable f:Xβ†’[0,∞]f:X\to[0,\infty] and a real cc the set Ac={x∈X:c≀f(x)}A_{c}=\{x\in X:c\le f(x)\} belongs to F\mathcal{F}: for 0<c0<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 c≀0c\le 0 we have Ac=XA_{c}=X because ff is nonnegative. A real-valued measurable map with nonnegative values is measurable as a map into [0,∞][0,\infty], 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 m∈Nm\in\mathbb{N}, put M=m2m∈NM=m2^{m}\in\mathbb{N} and ti=i/2mt_{i}=i/2^{m} for integers ii with 0≀i≀M0\le i\le M, and define sm:Xβ†’Rs_{m}:X\to\mathbb{R} by

sm(x)=min⁑{m,Β 12m⌊2mf(x)βŒ‹}Β Β ifΒ f(x)<∞,sm(x)=mΒ Β ifΒ f(x)=∞.s_{m}(x)=\min\Bigl\{m,\ \frac{1}{2^{m}}\bigl\lfloor 2^{m}f(x)\bigr\rfloor\Bigr\}\ \text{ if }f(x)<\infty,\qquad s_{m}(x)=m\ \text{ if }f(x)=\infty .

(a) The values of sms_{m}. Let xx satisfy f(x)<∞f(x)<\infty and put k=⌊2mf(x)βŒ‹k=\lfloor 2^{m}f(x)\rfloor, so that k≀2mf(x)<k+1k\le 2^{m}f(x)<k+1. Since 0≀f(x)0\le f(x) we have 0≀2mf(x)0\le 2^{m}f(x), and k<0k<0 would give k+1≀0≀2mf(x)k+1\le 0\le 2^{m}f(x), contradicting 2mf(x)<k+12^{m}f(x)<k+1; hence 0≀k0\le k. If k≀Mk\le M then sm(x)=min⁑{m,tk}s_{m}(x)=\min\{m,t_{k}\}, which is tkt_{k} or tM=mt_{M}=m; if M<kM<k then m=tM<tkm=t_{M}<t_{k} and sm(x)=m=tMs_{m}(x)=m=t_{M}. Together with the value m=tMm=t_{M} taken where f(x)=∞f(x)=\infty, this shows that sms_{m} takes its values in Vm={t0}βˆͺ{ti:i∈[M]}V_{m}=\{t_{0}\}\cup\{t_{i}:i\in[M]\}. The set [M][M] has MM elements by claim 1 of Basic Properties of Finite Sets, so its image under i↦tii\mapsto t_{i} is finite by claim 4 of that lemma, and adjoining the single element t0t_{0} leaves a finite set by claim 2 of that lemma (or the same set, if t0t_{0} already belongs to the image). The set of values of sms_{m} is a subset of the finite set VmV_{m}, hence finite by claim 3 of that lemma.

(b) Measurability. Let 0≀i<M0\le i<M. We show smβˆ’1({ti})=Atiβˆ–Ati+1s_{m}^{-1}(\{t_{i}\})=A_{t_{i}}\setminus A_{t_{i+1}}. If f(x)<∞f(x)<\infty and k=⌊2mf(x)βŒ‹k=\lfloor 2^{m}f(x)\rfloor, then k<Mk<M implies tk<mt_{k}<m and hence sm(x)=tks_{m}(x)=t_{k}, while M≀kM\le k implies m≀tkm\le t_{k} and hence sm(x)=m=tMs_{m}(x)=m=t_{M}; as the numbers t0,…,tMt_{0},\dots,t_{M} are distinct, sm(x)=tis_{m}(x)=t_{i} holds exactly when k=ik=i, that is exactly when i≀2mf(x)<i+1i\le 2^{m}f(x)<i+1, that is exactly when ti≀f(x)<ti+1t_{i}\le f(x)<t_{i+1}. If f(x)=∞f(x)=\infty then sm(x)=tMβ‰ tis_{m}(x)=t_{M}\ne t_{i}, and also x∈Ati+1x\in A_{t_{i+1}}. This proves the asserted identity, and the right-hand side belongs to F\mathcal{F}.

Next, smβˆ’1({tM})=Ams_{m}^{-1}(\{t_{M}\})=A_{m}. Indeed if f(x)=∞f(x)=\infty both sides contain xx; and if f(x)<∞f(x)<\infty then, by the description just given, sm(x)=tMs_{m}(x)=t_{M} holds exactly when M≀kM\le k, which holds exactly when M≀2mf(x)M\le 2^{m}f(x) (if M≀kM\le k then M≀k≀2mf(x)M\le k\le 2^{m}f(x); conversely MM is an integer with M≀2mf(x)M\le 2^{m}f(x), so Mβ‰€βŒŠ2mf(x)βŒ‹=kM\le\lfloor 2^{m}f(x)\rfloor=k), that is exactly when m≀f(x)m\le f(x). So smβˆ’1({tM})∈Fs_{m}^{-1}(\{t_{M}\})\in\mathcal{F}.

Since sms_{m} takes its values among t0,…,tMt_{0},\dots,t_{M}, for every Borel subset BB of the real line the set smβˆ’1(B)s_{m}^{-1}(B) is the union of those finitely many sets smβˆ’1({ti})s_{m}^{-1}(\{t_{i}\}) for which ti∈Bt_{i}\in B, hence belongs to F\mathcal{F}. Thus sms_{m} is measurable and, by (a), a simple function; it is nonnegative because each tit_{i} is.

(c) sm≀fs_{m}\le f. If f(x)=∞f(x)=\infty this is clear. Otherwise sm(x)≀tk=k/2m≀f(x)s_{m}(x)\le t_{k}=k/2^{m}\le f(x), since k≀2mf(x)k\le 2^{m}f(x).

(d) Monotonicity in mm. If f(x)=∞f(x)=\infty then sm(x)=m≀m+1=sm+1(x)s_{m}(x)=m\le m+1=s_{m+1}(x). Otherwise write u=f(x)u=f(x), k=⌊2muβŒ‹k=\lfloor 2^{m}u\rfloor and kβ€²=⌊2m+1uβŒ‹k'=\lfloor 2^{m+1}u\rfloor. The integer 2k2k satisfies 2k≀2β‹…2mu=2m+1u<kβ€²+12k\le 2\cdot 2^{m}u=2^{m+1}u<k'+1, so 2k<kβ€²+12k<k'+1 and therefore 2k≀kβ€²2k\le k', both being integers. Dividing by 2m+12^{m+1} gives k/2m≀kβ€²/2m+1k/2^{m}\le k'/2^{m+1}. Since also m≀m+1m\le m+1, taking the smaller of the two entries on each side gives sm(x)≀sm+1(x)s_{m}(x)\le s_{m+1}(x).

(e) The pointwise least upper bound. Fix xx. If f(x)=∞f(x)=\infty, then sm(x)=ms_{m}(x)=m for every mm, and by The Archimedean Property of the Real Numbers the set {m:m∈N}\{m:m\in\mathbb{N}\} has no real upper bound, so its least upper bound in [0,∞][0,\infty] is ∞=f(x)\infty=f(x). Suppose f(x)=u<∞f(x)=u<\infty. By (c) the number uu is an upper bound of {sm(x):m∈N}\{s_{m}(x):m\in\mathbb{N}\}. Let cc be a real number with c<uc<u. By The Archimedean Property of the Real Numbers there is m∈Nm\in\mathbb{N} with u<mu<m and 1/(uβˆ’c)<m1/(u-c)<m, hence 1/m<uβˆ’c1/m<u-c. For this mm we have k/2m≀u<mk/2^{m}\le u<m, so sm(x)=k/2ms_{m}(x)=k/2^{m}; and 2mu<k+12^{m}u<k+1 gives uβˆ’1/2m<k/2mu-1/2^{m}<k/2^{m}, while 1/2m≀1/m<uβˆ’c1/2^{m}\le 1/m<u-c because m≀2mm\le 2^{m}. Therefore sm(x)=k/2m>uβˆ’(uβˆ’c)=cs_{m}(x)=k/2^{m}>u-(u-c)=c, so cc is not an upper bound. Hence uu is the least upper bound, as asserted.

Claim 2. Fix m∈Nm\in\mathbb{N} and define sm(x)=12m⌊2mf(x)βŒ‹s_{m}(x)=\frac{1}{2^{m}}\lfloor 2^{m}f(x)\rfloor, which is meaningful because ff is real-valued. From k≀2mf(x)<k+1k\le 2^{m}f(x)<k+1 with k=⌊2mf(x)βŒ‹k=\lfloor 2^{m}f(x)\rfloor we get at once

0≀f(x)βˆ’sm(x)<12m,0\le f(x)-s_{m}(x)<\frac{1}{2^{m}},

which is the assertion. As in (a) above, 0≀k0\le k; and k≀2mf(x)≀2mKk\le 2^{m}f(x)\le 2^{m}K, so k≀Mβ€²=⌊2mKβŒ‹k\le M'=\lfloor 2^{m}K\rfloor because Mβ€²M' is the greatest integer not exceeding 2mK2^{m}K. Hence sms_{m} takes its values in {0}βˆͺ{i/2m:i∈[Mβ€²]}\{0\}\cup\{i/2^{m}:i\in[M']\} when 1≀Mβ€²1\le M', and in {0}\{0\} otherwise; in either case this set is finite, exactly as in (a). The preimages are smβˆ’1({i/2m})=Ai/2mβˆ–A(i+1)/2ms_{m}^{-1}(\{i/2^{m}\})=A_{i/2^{m}}\setminus A_{(i+1)/2^{m}} for 0≀i≀Mβ€²0\le i\le M', by the computation of (b) with the truncation absent, and these belong to F\mathcal{F}; so sms_{m} is a nonnegative simple function, as in (b).

Claim 3. Let f+=max⁑(f,0)f^{+}=\max(f,0) and fβˆ’=max⁑(βˆ’f,0)f^{-}=\max(-f,0) be the positive and negative parts of Integrable Function and the Lebesgue Integral, so that f=f+βˆ’fβˆ’f=f^{+}-f^{-} and ∣f∣=f++fβˆ’|f|=f^{+}+f^{-} 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+f^{+} and to fβˆ’f^{-}, obtaining sequences (pm)(p_{m}) and (qm)(q_{m}) of nonnegative simple functions, nondecreasing in mm, with pm≀f+p_{m}\le f^{+} and qm≀fβˆ’q_{m}\le f^{-} pointwise and with pointwise least upper bounds f+f^{+} and fβˆ’f^{-}. Put sm=pmβˆ’qms_{m}=p_{m}-q_{m}, measurable by claim 2 of Arithmetic, Absolute Values, and Pointwise Limits of Measurable Real-Valued Functions.

Fix xx. If 0≀f(x)0\le f(x) then fβˆ’(x)=0f^{-}(x)=0, so 0≀qm(x)≀00\le q_{m}(x)\le 0 and sm(x)=pm(x)s_{m}(x)=p_{m}(x); if f(x)<0f(x)<0 then f+(x)=0f^{+}(x)=0, so pm(x)=0p_{m}(x)=0 and sm(x)=βˆ’qm(x)s_{m}(x)=-q_{m}(x). Hence, writing VV and Vβ€²V' for the sets of values of pmp_{m} and of qmq_{m}, which are finite and nonempty, the set of values of sms_{m} is contained in the union of VV and the image of Vβ€²V' under vβ†¦βˆ’vv\mapsto -v. 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 sms_{m} is a simple function.

In the first case ∣sm(x)∣=pm(x)≀f+(x)=∣f(x)∣|s_{m}(x)|=p_{m}(x)\le f^{+}(x)=|f(x)|, and in the second ∣sm(x)∣=qm(x)≀fβˆ’(x)=∣f(x)∣|s_{m}(x)|=q_{m}(x)\le f^{-}(x)=|f(x)|; so ∣smβˆ£β‰€βˆ£f∣|s_{m}|\le|f| pointwise.

Finally, in the first case (sm(x))m=(pm(x))m(s_{m}(x))_{m}=(p_{m}(x))_{m} is nondecreasing with least upper bound f+(x)=f(x)f^{+}(x)=f(x), which is a real number, so it converges to f(x)f(x) by A Bounded Monotone Sequence of Real Numbers Converges Β§nondecreasing; in the second case (qm(x))m(q_{m}(x))_{m} is nondecreasing with least upper bound fβˆ’(x)f^{-}(x), so it converges to fβˆ’(x)f^{-}(x) by the same result, and hence (sm(x))m=(βˆ’qm(x))m(s_{m}(x))_{m}=(-q_{m}(x))_{m} converges to βˆ’fβˆ’(x)=f(x)-f^{-}(x)=f(x) by claim 3 of Arithmetic of Limits of Real Sequences. In both cases (sm(x))m(s_{m}(x))_{m} converges to f(x)f(x).

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