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Piecewise-affine approximation of a measurable coefficient

Statement

Assume Countable Choice. Let Ω⊆C be a complex domain, let μ be a Beltrami coefficient on Ω, and suppose 0≤k<1 and ∥μ∥∞≤k. For n≥1, let Qn be the half-open dyadic squares in C≅R2 of side hn=2−n. Choose a measurable representative μ0 of μ and define its zero extension μ~ to C by μ~=μ0 on Ω and μ~=0 off Ω. For Q∈Qn put cQ:=1λ2(Q)∫Qμ~ dλ2, and set μn(x):=cQ for x∈Ω∩Q. Then:

(a) Each μn is measurable and constant, hence affine, on every dyadic cell Ω∩Q, and ∥μn∥∞≤k.

(b) μn(x)→μ0(x) at every x∈Ω that is a Lebesgue point of μ~. Consequently μn→μ almost everywhere on Ω.

(c) For any sequence of countable, locally finite triangulations of C whose mesh tends to zero, there are piecewise-constant coefficients νj with ∥νj∥∞≤k and νj→μ almost everywhere on Ω. Assign to each triangle T the average of μ~ over the ball centered at its barycenter with radius diam⁡T, and use that value on its cell. Averaging over the triangles themselves also gives convergence when the triangulations are uniformly shape-regular.

Facts & Assumptions

Given: Countable Choice; a complex domain Ω; a Beltrami coefficient μ on Ω; and 0≤k<1 with ∥μ∥∞≤k.

[F1]

A Beltrami coefficient is a Lebesgue-measurable almost-everywhere class of complex functions with its essential-supremum norm; planar domains carry two-dimensional Lebesgue measure (Measurable Beltrami coefficients and measurable conformal structures).

[F2]

Lebesgue measurability is understood through the real-coordinate measurable-space structure, and a complex domain is open in the Euclidean plane (Borel measurable and Lebesgue measurable functions on Rn, A complex domain is a nonempty connected open subset of C).

[F3]

Complex L∞ functions are a.e. classes with essential-supremum norm, and complex integration is defined by its real and imaginary parts (Complex Lp classes and Euclidean test-function conventions, The space Lp(μ) as the quotient by null functions).

[F4]

Every Euclidean ball has positive finite Lebesgue measure (Euclidean balls have positive finite Lebesgue measure).

[F5]

For complex f∈L∞ and g∈L1, ∫∣fg∣≤∥f∥∞∥g∥1 and ∣∫fg∣≤∥f∥∞∥g∥1 (Complex Holder, Minkowski, and the quotient norm).

[F7]

A.e.-equal integrable functions have equal integrals on every measurable set (Two integrable functions are equal almost everywhere exactly when all of their indefinite integrals agree).

[F8]

The ball average is Arf(x)=λ2(B(x,r))−1∫B(x,r)f, and a Lebesgue point is where the averages of ∣f(y)−f(x)∣ tend to zero (The average of a locally integrable function over a Euclidean ball, Lebesgue points and the Lebesgue set of an Lloc1 class).

[F9]

Almost every point of a locally integrable function is a Lebesgue point (Almost every point is a Lebesgue point of a locally integrable function).

[F10]

A measurable complex function is locally integrable when its absolute value has finite integral on every ball (A locally integrable function on Rn).

[F11]

Countable Choice states that every countable family of nonempty sets has a choice function (The Axiom of Countable Choice (ACω)).

Choice use. Countable Choice is assumed by the coefficient, measurable-function, Lebesgue-measure, and Lebesgue-point interfaces [F1], [F2], [F9], [F11]. Choosing one representative of the single given a.e. class is ordinary existential instantiation, and the averages are independent of that representative by [F7]. No full Axiom of Choice is used.

Proof

technique · direct
1.1F1F2F3F4F5F10given

Choose a measurable representative μ0 of the given a.e. class and extend it by zero off Ω, obtaining μ~. Since Ω is open and hence Borel, [F2] makes the extension measurable. It satisfies ∥μ~∥∞=∥μ∥∞≤k. For every ball B, [F4] gives 1B∈L1 with norm λ2(B)<∞, and [F5] gives ∫B∣μ~∣≤kλ2(B). Thus μ~∈Lloc1(R2) by [F10].

2.1F2F3F5F6F7step 1.1

Write hn=2−n. Each Q∈Qn has λ2(Q)=hn2>0 by [F6], so its average cQ is defined. A.e. changes of μ0 do not change any cQ by [F7]. The half-open squares form a countable measurable partition of R2, so on Ω the function μn is measurable and constant on each Ω∩Q. Moreover [F5] gives ∣cQ∣=1hn2∣∫Qμ~∣≤∥μ~∥∞∥1Q∥1hn2≤k, hence ∥μn∥∞≤k.

3.1F6F8F9F11step 1.1step 2.1

Let x∈Ω be a Lebesgue point of μ~, and let Qn(x) be its unique half-open dyadic square. Every point of Qn(x) is within distance 2hn of x, so Qn(x)⊂B(x,2hn). The containing square of side 22hn has area 8hn2 by [F6], whence λ2(B(x,2hn))/hn2≤8. Therefore, writing gx(y)=∣μ~(y)−μ~(x)∣, ∣μn(x)−μ~(x)∣≤1hn2∫Qn(x)gx≤8A2hngx(x)⟶0 by [F8]. The Lebesgue points of μ~ have full measure by [F9], proving (b) on Ω.

4.1F2F3F4F5F6F8step 1.1step 3.1given

For a countable locally finite triangulation Tj with mesh δj→0, fix an enumeration of its triangles and assign shared faces to the first incident cell, giving a Borel partition. For a triangle T, write dT=diam⁡T>0, let cT be its barycenter, and assign the constant aT:=1λ2(B(cT,dT))∫B(cT,dT)μ~ to its cell in Ω. The resulting function is measurable by [F2]. If x belongs to that cell, then ∣x−cT∣≤dT, so B(cT,dT)⊂B(x,2dT). The inner ball contains a square of side 2dT and the outer ball lies in a square of side 4dT; [F4] and [F6] therefore give λ2(B(x,2dT))λ2(B(cT,dT))≤16dT22dT2=8. Thus at every Lebesgue point x the same estimate as in step 3.1 gives ∣aT−μ~(x)∣≤8A2dTgx(x), which tends to zero uniformly as dT≤δj→0. The averages remain bounded by k by [F5]. If averages over T itself are used and λ2(T)≥c(diam⁡T)2 uniformly, then T⊂B(x,2dT) and the outer-to-cell measure ratio is at most 16/c, giving the analogous estimate; this is the uniform shape-regularity condition stated in (c).

5.1step 2.1step 3.1step 4.1∎

Steps 2.1 and 3.1 prove (a) and (b), and step 4.1 proves the shape-independent triangulation version of (c).

Source notes

Lyubich §14.5 Exercise 14.3 asks for approximation of measurable coefficients by real-analytic ones, first via continuous coefficients, but does not supply the proof. Bishop Ch. 3 §1 computes the affine map between two labelled triangles; §2 states a continuous-coefficient mapping theorem, but its printed proof is blank. The proof here is supplied directly by zero extension, boundedness, and the Lebesgue-point theorem. The triangle version uses ball averages so its comparison is uniform without a shape assumption; cell averages themselves require shape regularity.

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