This paper characterizes Lebesgue null sets in Euclidean space by examining their intersections with Lipschitz-varying affine subspaces and establishing an equivalence involving Hausdorff measure.
Contribution
It provides a new criterion for Lebesgue null sets based on their intersection properties with affine subspaces that vary Lipschitz continuously.
Findings
01
A Borel set is Lebesgue null iff its intersection with almost every affine subspace has zero Hausdorff measure.
02
The result links measure-theoretic nullity to geometric intersection properties.
03
The approach uses Lipschitz variation of affine subspaces to characterize null sets.
Abstract
Letting A be a Borel subset of n dimensional Euclidean space, and W(x) be an m dimensional affine subspace containing x and varying in a Lipschitz way according to x, we establish that A is Lebesgue null if and only if A∩W(x) has m dimensional Hausdorff measure vanishing for almost every x.
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TopicsMathematical Dynamics and Fractals · Advanced Topology and Set Theory · Point processes and geometric inequalities
Full text
On Lebesgue Null Sets
Thierry De Pauw
School of Mathematical Sciences
Shanghai Key Laboratory of PMMP
East China Normal University
500 Dongchuang Road
Shanghai 200062
P.R. of China
and NYU-ECNU Institute of Mathematical Sciences at NYU Shanghai
3663 Zhongshan Road North
Shanghai 200062
China
Université Paris Diderot
Sorbonne Université
CNRS
Institut de Mathématiques de Jussieu – Paris Rive Gauche, IMJ-PRG
Let A be a subset of Euclidean space Rn, n⩾2, and let Ln denote the Lebesgue outer measure. We concern ourselves with the following question: Can one tell whether A is Lebesgue negligible from the knowledge only of its trace on each member of some given collection of <<lower dimensional>> subsets Γi⊆Rn, i∈I. Thus one expects that if A∩Γi is <<negligible in the dimension of Γi>>, for each i∈I then Ln(A)=0. Of course a necessary condition is that the sets Γi cover almost all of A, i.e. Ln(A∼∪i∈IΓi)=0. Consider for instance n=2, I=R and Γt={t}×R, t∈R, the collection of all vertical lines in the plane. It is not true in general that if A⊆R2 and A∩Γt is a singleton for each t∈R then L2(A)=0. There exist indeed functions f:R→R whose graph A=graphf has L2(A)>0, see e.g. [8, Chapter 2 Theorem 4] for an example due to W. Sierpiński. In order to rule out such examples we will henceforth assume that A⊆Rn be Borel measurable. In that case the Theorem of G. Fubini, together with the invariance of the Lebesgue measure under orthogonal transformations imply the following. Given an integer 1⩽m⩽n−1, if (Γi)i∈I is the collection of all m dimensional affine subspaces of Rn of some fixed direction, and if Hm(A∩Γi)=0 for all i∈I then Ln(A)=0. Here Hm denotes the m dimensional Hausdorff measure. A special feature of this collection (Γi)i∈I is that it partitions Rn, its members being the level sets f−1{y}, y∈Rn−m, of a <<nice map>> f:Rn→Rn−m, indeed an orthogonal projection. This is an occurrence of the following more general situation when f and its leaves f−1{y} are allowed to be nonlinear. The coarea formula due to H. Federer in [6] asserts that if f:Rn→Rn−m is Lipschitz and if A⊆Rn is Borel then
[TABLE]
Thus if the Jacobian coarea factor Jf is positive Ln almost everywhere in A then the collection (f−1{y})y∈Rn−m is suitable for detecting whether or not A is Lebesgue null. At Ln almost all x∈Rn the map f is differentiable according to H. Rademacher, and
In this paper we focus on the case when Γi, i∈I, are affine subspaces of Rn, but not necessarily members of a partition of the ambient space. Specifically, we assume that with each x∈Rn is associated an m dimensional affine subspace W(x) of Rn containing x. Given a Borel set A∈Rn, the question whether
[TABLE]
has a negative answer: O. Nikodým [9] exhibited a Borel subset A⊆R2 of the unit square, such that L2(A)=1 and for each x∈A there exists a line W(x)⊆R2 with the property that A∩W(x)={x}. In this context a selection Theorem due to J. von Neumann implies that (possibly considering a smaller, non Lebesgue null Borel subset of A) the correspondence x↦W(x) can be chosen to be Borel measurable (see 2.19) and in turn, it can be chosen to be continuous according to a result of N. Lusin. This was noted by A. Zygmund in connection with multiparameter Fourier analysis.
Our result assumes that W be Lipschitz. Below G(n,m) denotes the Grassmannian manifold of m dimensional linear subspaces of Rn.
Theorem. —
Assume W0:Rn→G(n,m) is Lipschitz and A⊆Rn is Borel. The following are equivalent.
(A)
Ln(A)=0;
2. (B)
For Ln almost every x∈A, Hm(A∩(x+W0(x)))=0;
3. (C)
For Ln almost every x∈Rn, Hm(A∩(x+W0(x)))=0.
This seems to be new. As should be apparent from the discussion above, the difficulty stands with the fact that the affine m planes W(x)=x+W0(x) need not be disjointed. The natural route is to reduce the problem to applying the coarea formula by spreading out the W(x)’s in a disjointed way, in a higher dimensional space, i.e. adding a variable u∈W(x) to the given x∈Rn and considering W(x) as a fiber above the base space Rn. We thus define
[TABLE]
where E⊆Rn is Borel. This set is n+m rectifiable owing to the Lipschitz continuity of W. It is convenient to assume that Ln(E)<∞ so that
[TABLE]
B⊆Rn, is a locally finite Borel measure, 2.16. Now Σ was precisely set up so that for each x∈E
[TABLE]
where π1 and π2 denote the projections of Rn×Rn to the x and u variable, respectively. Abbreviating ΣB=Σ∩π2−1(B) the coarea formula yields
[TABLE]
A simple calculation shows that JΣπ2>0Hn+m almost everywhere on ΣB, 4.4. Since also
[TABLE]
the implication (A)⇒(C) above should now be clear: Letting B=A and E=B(0,R) one infers from hypothesis (A) and (4) that Hn+m(ΣB)=0, thus ϕB(0,R)(A)=0 from (3) and in turn conclusion (C) from (2).
In order to establish that (B)⇒(A) we need to observe that JΣπ1>0Hn+m almost everywhere, 4.2 and ideally to show that Hm(ΣB∩π2−1{u})>0 for almost every u∈B. This last part offers some difficulty. To understand this we let m=n−1 in order to keep the notations short. Now u∈W(x) iff u−x∈W0(x) iff ⟨v0(x),x−u⟩=0 where v0(x)∈W0(x)⊥ is, say a unit vector. Abbreviating gu(x)=⟨v0(x),x−u⟩ we infer that
[TABLE]
The problem remains that two of the nonlinear m sets E∩gu−1{0} and E∩gu′−1{0} may intersect, thereby preventing another application of the coarea formula to look out for their lower bound. Yet we already know that
[TABLE]
where ZEW is a Radon-Nikodým derivative, 4.6 and also that (ZEW)(u) is comparable to Hm(E∩gu−1{0}), 4.8. Adding an extra variable y to the fibered space Σ, 4.10 we improve on this by showing that
[TABLE]
where the last equality defines YEW, and βn>0, 4.12 and 4.16. We are reduced to showing that YEW>0 almost everywhere. The reason why this holds is the following. Fix a Borel set Z⊆Rn, x0∈Rn and r>0. Let CW(x0,r) denote the cylindrical box consisting of those x∈Rn such that PW0(x0)(x−x0)⩽r and PW0(x0)⊥(x−x0)⩽r. We want to find a lower bound for
[TABLE]
To this end we fix z∈W0(x0)∩B(0,r) and we let Vz=Rn∩{x0+z+sv0(x0):−r⩽s⩽r} denote the corresponding vertical line segment. According to Fubini’s Theorem we are reduced to estimating
[TABLE]
According to Vitali’s Covering Theorem we can find a disjointed family of line segments I1,I2,… covering almost all Vz such that the above integral nearly equals
[TABLE]
where there first near equality follows from the coarea formula, the second one because ∣∇guk∣≅1 at small scales, 2.12 and the <<nonlinear horizontal stripes>> guk−1(Ik) are nearly pairwise disjoint. Verification of these claims takes up sections 5 and 6. Now we reach a contradiction if Z=Rn∩{YEW=0} is assumed to have Ln(Z)>0 and x0 is a point of density of Z.
I extend my warm thanks to Jean-Christophe Léger for carefully reading the manuscript.
2. Preliminaries
2.1. —
In this paper 1⩽m⩽n−1 are integers. The ambient space is Rn. The canonical inner product of x,x′∈Rn is denoted ⟨x,x′⟩ and the corresponding Euclidean norm of x is ∣x∣. If S⊆Rn we let B(S) denote the σ algebra of Borel subsets of S.
2.2Hausdorff measure. —
We let Ln denote the Lebesgue outer measure in Rn and α(n)=Ln(B(0,1)). For S⊆Rn we abbreviate ζm(S)=α(m)2−m(diamS)m. Given 0<δ⩽∞ we call δ cover of A⊆Rn a finite or countable family (Sj)j∈J of subsets of Rn such that A⊆∪j∈JSj and diamSj⩽δ for every j∈J. We define
[TABLE]
and Hm(A)=limδ→0+Hδm(A)=supδ>0Hδm(A). Thus Hm is the m dimensional Hausdorff outer measure in Rn.
(1)
If (Kk)k is a sequence of nonempty compact subsets of Rn converging in Hausdorff distance to K then H∞m(K)⩾limsupkH∞m(Kk).
Given ε>0 choose a cover (Sj)j=1,2,… of K such that H∞m(K)+ε⩾∑jζm(Sj). Since limr→0+ζm(U(Sj,r))=ζm(Sj) for each j=1,2,… we can choose an open set Uj containing Sj such that ζm(Uj)⩽ε2−j+ζm(Sj). Since U=∪jUj is open there exists an integer k0 such that Kk⊆U whenever k⩾k0. Thus in that case (Uj)j is a cover of Kk and therefore H∞m(Kk)⩽∑jζm(Uj)⩽2ε+H∞m(K). Take the limsup of the left hand side as k→∞, and then let ε→0.
(2)
For all A⊆Rm one has Lm(A)=Hm(A)=H∞m(A).
It suffices to note that Hm(A)⩾H∞m(A)⩾Lm(A)⩾Hm(A). The first inequality is trivial; the second one follows from the isodiametric inequality [7, 2.10.33]; the last one is a consequence of the Vitali Covering Theorem [4, Chapter 2 §2 Theorem 2].
(3)
If W⊆Rn is an m dimensional affine subspace and A⊆W then Hm(A)=H∞m(A).
Let Hm denote the m dimensional Hausdorff outer measures in the metric space W. In other words
[TABLE]
and Hm(A)=supδ>0Hδm(A).
It is elementary to observe that Hm(A)=Hm(A) and that H∞m(A)=H∞m(A). Now if f:W→Rm is an isometry then Hm(A)=Hm(A)=Hm(f(A))=H∞m(f(A))=H∞m(A)=H∞m(A), where the third equality follows from claim (2) above.
2.3Coarea formula. —
Here we recall two versions of the coarea formula. First if A⊆Rn is Ln measurable and f:A→Rn−m is Lipschitz then Rn−m→[0,∞]:y↦Hm(A∩f−1{y}) is Ln−m measurable and
[TABLE]
Here the coarea Jacobian factor is well defined Ln almost everywhere according to Rademacher’s Theorem and equals
Secondly if A⊆Rp is Hn measurable and countably (Hn,n) rectifiable, and if f:A→Rn−m is Lipschitz then Rn−m→[0,∞]:y↦Hm(A∩f−1{y}) is Ln−m measurable and
[TABLE]
To give a formula for the coarea Jacobian factor JAf(x) of f relative to A we consider a point x∈A where A admits an approximate n dimensional tangent space TxA and where f is differentiable along A. Letting L:TxA→Rn−m denote the derivative of f at x we have
In both cases it is useful to recall the following. If L:V→V′ is a linear map between two inner product spaces V and V′ then
[TABLE]
On the one hand ∥∧kL∥⩽∥L∥k [7, 1.7.6], and ∥L∥⩽Lipf with L as above. On the other hand if v1,…,vk are linearly independent vectors of V then
[TABLE]
Finally we observe that both coarea formulæ hold true when f is merely locally Lipschitz, according to the Monotone Convergence Theorem.
2.4Grassmannian. —
We let G(n,m) denote the set whose members are the m dimensional linear subspaces of Rn. With W∈G(n,m) we associate PW:Rn→Rn the orthogonal projection onto W. We give G(n,m) the structure of a compact metric space by letting d(W1,W2)=∥PW1−PW2∥. If W∈G(n,m) then W⊥∈G(n−m) is so that PW+PW⊥=idRn, therefore G(n,m)→G(n,n−m):W↦W⊥ is an isometry. The bijective correspondence φ:G(n,m)→Hom(Rn,Rn):W↦PW identifies G(n,m) with the submanifold Mn,m=Hom(Rn,Rn)∩{L:L∘L=L,L∗=L and traceL=m}. There exists an open neighborhood V of Mn,m in Hom(Rn,Rn) and a Lipschitz retraction ρ:V→Mn,m, according for instance to [7, 3.1.20]. Therefore if S⊆Rn and if W0:S→G(n,m) is Lipschitz then there exist an open neighborhood U of E in Rn and a Lipschitz extension W0:U→G(n,m) of W0. Indeed φ∘W0 admits a Lipschitz extension Y:Rn→Hom(Rn,Rn), see e.g. [7, 2.10.43], and it suffices to let U=Y−1(V) and W0=ρ∘(Y∣U).
2.5Orthonormal frames. —
We let V(n,m) denote the set orthonormal m frames in Rn, i.e. V(n,m)=(Rn)m∩{(w1,…,wm): the family w1,…,wm is orthonormal}. We will consider it as a metric space with its structure inherited from (Rn)m.
2.6. —
*Let V⊆G(n,m) be a nonempty closed set such that diamV<1. There exists a Lipschitz map Ξ:V→V(n,m) such that W=span{Ξ1(W),…,Ξm(W)} for every W∈V.
*
Proof.
Pick arbitrarily W0∈V. If W∈V then the map W0→W:w↦PW(w) is bijective: if w∈W0∼{0} then ∣PW(w)−w∣=∣PW(w)−PW0(w)∣<∣w∣ thus PW(w)=0. Letting w1,…,wm be an arbitrary basis of W0 it follows that for each W∈V the vectors wi(W)=PW(wi), i=1,…,m, constitute a basis of W. Furthermore the maps wi:V→Rn are Lipschitz: ∣wi(W)−wi(W′)∣=∣PW(wi)−PW′(wi)∣⩽d(W,W′)∣wi∣. We apply the Gram-Schmidt process:
[TABLE]
so that w1(W),…,wm(W) is readily an orthogonal basis of W depending upon W in a Lipschitz way. Since each ∣wi∣ is bounded away from zero on V the formula Ξi(W)=∣wi(W)∣−1wi(W), i=1,…,m, defines Ξ with the required property.
∎
2.7. —
*There exists a Borel measurable map Ξ:G(n,m)→V(n,m) with the property that W=span{Ξ1(W),…,Ξm(W)} for every W∈G(n,m).
*
Proof.
Since G(n,m) is compact it can partitioned into finitely many Borel sets V1,…,VJ each having diameter bounded by 1/2. Define Ξ piecewise to coincide on Vj with a Ξj associated with ClosVj in 2.6, j=1,…,J.
∎
2.8. —
Assume S⊆Rn, x0∈S and W0:S→G(n,m) is Lipschitz. There then exist an open neighbordhood U of x0 in Rn and Lipschitz maps w1,…,wm,v1,…,vn−m:U→Rn such that:
(1)
For every x∈U the family w1(x),…,wm(x),v1(x),…,vn−m(x) is an orthonormal basis of Rn;
2. (2)
For every x∈S∩U one has
[TABLE]
and
[TABLE]
Proof.
We let W0:U→G(n,m) be a Lipschitz extension of W0 where U is an open neighborhood of S in Rn (recall 2.4). Abbreviate W0:=W0(x0). Define V=G(n,m)∩{W:d(W,W0)<1/4} and V=U∩W0−1(V). Apply 2.6 to ClosV and denote Ξ the resulting Lipschitz map V→(Rn)m. Next define V⊥=G(n,n−m)∩{W⊥:W∈V}, apply 2.6 to ClosV⊥ and denote Ξ⊥ the resulting Lipschitz map V⊥→(Rn)n−m. Letting wi(x)=(Ξi∘W0)(x), i=1,…,m, and vi(x)=(Ξi⊥∘W0)(x), i=1,…,n−m, completes the proof.
∎
2.9. —
Assume W0:Rn→G(n,m) is Borel measurable. There then exist Borel measurable maps w1,…,wm,v1,…,vn−m:Rn→Rn such that:
(1)
For every x∈Rn the family w1(x),…,wm(x),v1(x),…,vn−m(x) is an orthonormal basis of Rn;
2. (2)
For every x∈Rn one has
[TABLE]
and
[TABLE]
Proof.
Choose Ξ:G(n,m)→V(n,m) and Ξ⊥:G(n,n−m)→V(n,n−m) be as in 2.7. Letting (w1(x),…,wm(x))=(Ξ∘W0)(x) and (v1(x),…,vn−m(x))=(Ξ⊥∘W0⊥)(x), x∈Rn, completes the proof.
∎
2.10Definition of W(x). —
The typical situation that arises in the remaining part of this paper is that we are given a set S⊆Rn, a Lipschitz map W0:S→G(n,m) and x0∈S. We will represent W0(x) and W0⊥(x) in a neighborhood U of x0 as in 2.8. We will then further reduce the size of U several times in order that various conditions be met. With no exception we will denote as W(x)=x+W0(x) the affine subspace containing x, of direction W0(x), whenever W0(x) is defined.
2.11Definition of gv1,…,vn−m,u and lower bound of its coarea factor. —
Given an open set U⊆Rn, a Lipschitz map v:U→Rn, and u∈Rn we define gv,u:U→R by the formula
[TABLE]
Clearly gv,u is locally Lipschitz. If v is differentiable at x∈U then so is gv,u and for every h∈Rn one has
[TABLE]
Next we assume we are given Lipschitz maps v1,…,vn−m:U→Rn. We define gv1,…,vn−m,u:U→Rn−m by the formula
[TABLE]
It is Lipschitz as well. The relevance of gv1,…,vn−m,u stems from the following observation, assuming that v1,…,vn−m are associated with W0 and W as in 2.8 and 2.10:
[TABLE]
In fact ∣gv1,…,vn−m,u(x)∣=PW0(x)⊥(x−u).
Abbreviate g=gv1,…,vn−m,u. If each vi is differentiable at x∈U, and h∈Rn, then
[TABLE]
where here and elsewhere e1,…,en−m denotes the canonical basis of Rn−m.
Thus if v1(x),…,vn−m(x) constitute an orthonormal family in Rn then
Given Λ>0 and 0<ε<1 there exists δ2.12(n,Λ,ε)>0 with the following property. Assume that
(1)
U⊆Rn* is open and u∈Rn;*
2. (2)
v1,…,vn−m:U→Rn* are Lipschitz;*
3. (3)
v1(x),…,vn−m(x)* is an orthonormal family for every x∈U.*
If
(4)
Lipvi⩽Λ* for each i=1,…,n−m;*
2. (5)
diam(U∪{u})⩽δ2.12(n,Λ,ε)**
then
[TABLE]
*at Ln almost every x∈U.
*
2.13Definition of πu and its relation with gv1,…,vn−m,u. —
With u∈Rn we associate
[TABLE]
When (ξ1,…,ξn−m)∈V(n,n−m) is fixed we also abbreviate as πξ1,…,ξn−m,u the map Rn→Rn−m defined by πξ1,…,ξn−m,u(x)=πu(ξ1,…,ξn−m,x). It is then rather useful to observe that in the context described in 2.8 and 2.10 the following holds:
[TABLE]
Indeed,
[TABLE]
In the sequel we will sometimes abbreviate ξ=(ξ1,…,ξn−m)∈V(n,n−m).
It also helps to notice that for given ξ∈V(n,n−m) and y∈Rn−m the set πξ,u−1{y} is an m dimensional affine subspace of Rn.
2.14. —
Assume B∈B(Rn) and u∈Rn. It follows that
[TABLE]
*is Borel measurable.
*
Proof.
We start by showing that when B is compact, hB is upper semicontinuous. Thus if (ξk,yk)∈V(n,n−m)×Rn−m converge to (ξ,y), we ought to show that
[TABLE]
where K=B∩πξ,u−1{y} and Kk=B∩πξk,u−1{yk}. This is indeed equivalent to the same inequality with H∞m replaced by Hm according to 2.2(3) and the last sentence of 2.13. Considering if necessary a subsequence of (Kk)k we may assume that none of the compact sets Kk is empty, and that the limsup in (11) is a lim. Since the set of nonempty compact subsets of the compact set B, equipped with the Hausdorff metric is compact, the sequence (Kk)k admits a subsequence (denoted the same way) converging to a compact set L⊆B. Given z∈L there are zk∈Kk converging to z. Thus πu(ξ,z)=limkπu(ξk,zk)=limkyk=y. In other words z∈K. Thus H∞m(K)⩾H∞m(L) and (11) follows from 2.2(1).
Next we abbreviate A=B(Rn)∩{B:hB is Borel measurable}. Thus we have just shown that A contains the collection K(Rn) of all compact subsets of Rn. Observe that if (Bj)j is an increasing sequence in A and B=∪jBj then hB=limjhBj pointwise, thus B∈A. In particular Rn∈A. Finally if B,B′∈A and B′⊆B then hB∼B′=hB−hB′ because all measures involved are finite, indeed hB(ξ,y)⩽α(m)rm for all (ξ,y). Accordingly B∼B′∈A. This means that A is a Dynkin class. Since K(Rn) is a π system, A contains the σ algebra generated by K(Rn), i.e. B(Rn), [1, Theorem 1.6.2].
∎
2.15. —
Assume B∈B(Rn), r>0 and W0:Rn→G(n,m) is Borel measurable. The following function is Borel measurable.
[TABLE]
Proof.
Let hW,B denote this function. Let v1,…,vn−m:Rn→Rn be Borel measurable maps associated with W0 as in 2.9. Fix u∈Rn arbitrarily. Define
[TABLE]
so that
[TABLE]
(where hB is the function associated with B and u in 2.14), according to (10). One notes that Υ is Borel measurable, and the conclusion ensues from 2.14.
∎
2.16Definition of ϕE,W. —
Let W0:Rn→G(n,m) be Borel measurable and let E∈B(Rn) be such that Ln(E)<∞. For each B∈B(Rn) we define
[TABLE]
This is well defined according to 2.15(2). It is easy to check that ϕE,W is a locally finite (hence σ finite) Borel measure on Rn; indeed ϕE,W(B)⩽α(m)(diamB)mLn(E).
To close this section we discuss the relevance of ϕE,W to the problem of existence of <<nearly Nikodým sets>>.
2.17Definition of Nearly Nikodým set. —
Let E∈B(Rn). We say that B∈B(E) is nearly m Nikodým in E if
(1)
Ln(B)>0;
2. (2)
For Ln almost each x∈E there is W∈G(n,m) such that Hm(B∩(x+W))=0.
In case n=2, m=1, E=[0,1]×[0,1], the existence of such B (with L2(B)=1) was established by O. Nikodým [9], see also [2, Chapter 8]. For arbitrary n⩾2 and m=n−1 the existence of such B was established by K. Falconer [5]. In fact in both cases these authors proved the stronger condition that for every x∈B, Hm(B∩(x+W))=0 can be replaced by B∩(x+W)={x}. Thus in case 1⩽m<n−1, if B is a set exhibited by K. Falconer, x∈B and W⊆∈G(n,n−1) is such that B∩(x+W)={x}, picking arbitrarily V∈G(n,m) such that V⊆W we see that B∩(x+V)={x}. Whence B is also nearly m Nikodým in B.
Assuming also that W0:E→G(n,m) is Borel measurable we say that B∈B(E) is nearly m Nikodým in E relative to W if
(1)
Ln(B)>0;
2. (2)
For Ln almost each x∈E one has Hm(B∩W(x))=0.
2.18. —
Let E∈B(Rn) and let W0:Rn→G(n,m) be Borel measurable. The following are equivalent.
(1)
Ln∣B(E)* is absolutely continuous with respect to ϕE,W∣B(E).*
2. (2)
There does not exist a nearly m Nikodým set relative to W.
Proof.
A set B∈B(E) such that ϕE,W(B)=0 and Ln(B)>0 is, by definition a nearly m Nikodým set relative to W. Condition (1) is equivalent to their nonexistence.
∎
2.19. —
Assume that E∈B(Rn) and that B∈B(E) is nearly m Nikodým. It follows that:
(1)
There exists W0:Rn→G(n,m) Borel measurable such that B is nearly m Nikodým in E relative to W.
2. (2)
There exists C⊆B compact and W0:Rn→G(n,m) continuous such that C is nearly m Nikodým in C relative to W.
Proof.
Define a Borel measurable map ξ:G(n,m)→V(n−m) by ξ(W)=Ξ(W⊥) where Ξ:G(n,n−m)→V(n,n−m) is as in 2.7. Choose arbitrarily u∈Rn and define a Borel measurable map
is Borel as well. The set N=E∩{x:Ex=∅} is coanalytic and Ln(N)=0 by assumption. According to von Neumann’s selection Theorem [10, 5.5.3] there exists a universally measurable map W~0:E∼N→G(n,m) such that W~0(x)∈Ex for every x∈E∼N, i.e. Hm(B∩(x+W~0(x)))=0. We extend W~0 to be an arbitrary constant on N. This makes W~0 an Ln measurable map defined on E. Therefore it is equal Ln almost everywhere to a Borel map W0:E→G(n,m). This proves (1).
In order to prove (2) we recall of 2.4, specifically the retraction ρ:V→Mn,m and the homeomorphic identification φ:G(n,m)→Mn,m. Owing to the compactness of Mn,m there are finitely many open balls Uj, j=1,…,J, whose closure are contained in V and covering Mn,m. Since Ln(B)>0 there exists j=1,…,J such that Ln(B∩Ej)>0 where Ej=(φ∘W0)−1(Uj). It follows from Lusin’s Theorem [7, 2.5.3] that there exists a compact set C⊆B∩Ej such that Ln(C)>0 and the restriction W0∣C is continuous. The map φ∘W0∣C takes its values in the closed ball ClosUj, therefore admits a continuous extension Y:Rn→ClosUj⊆V. Letting W=φ−1∘ρ∘Y completes the proof.
∎
3. Common setting
3.1Setting for the next three sections. —
In the next three sections we shall assume the following.
(1)
E⊆Rn is Borel and Ln(E)<∞.
2. (2)
U⊆Rn is open and E⊆U.
3. (3)
B⊆Rn is Borel.
4. (4)
W0:E→G(n,m) is Lipschitz.
5. (5)
W(x)=x+W0(x) for each x∈E.
6. (6)
Λ>0.
7. (7)
w1,…,wm:U→Rn and Lipwi⩽Λ, i=1,…,m.
8. (8)
v1,…,vn−m:U→Rn and Lipvi⩽Λ, i=1,…,n−m.
9. (9)
W0(x)=span{w1(x),…,wm(x)} for every x∈E.
10. (10)
W0(x)⊥=span{v1(x),…,vn−m(x)} for every x∈E.
11. (11)
w1(x),…,wm(x),v1(x),…,vn−m(x) constitute an orthonormal basis of Rn, for every x∈E.
4. Two fibrations
4.1A fibered space associated with E,B,w1,…,wm. —
We define
[TABLE]
as well as
[TABLE]
It is obvious that F is Lipschitz and therefore Σ is countably n+m rectifiable and Hn+m measurable. We also consider the two canonical projections
[TABLE]
as well as
[TABLE]
which is clearly also countably n+m rectifiable and Hn+m measurable. In view of applying the coarea formula to ΣB and π1 first, to ΣB and π2 next, we observe that
whenever u∈B. It now follows from the coarea formula that
[TABLE]
and
[TABLE]
For these formulæ to be useful we need to establish bounds for the coarea Jacobian factors JΣπ1 and JΣπ2. In order to do so we notice that if Σ∋(x,u)=F(x,t1,…,tm) and if F is differentiable at (x,t1,…,tm) then the approximate tangent space T(x,u)Σ exists and is generated by the following n+m vectors of Rn×Rn:
[TABLE]
As usual e1,…,en denotes the canonical basis of Rn.
4.2Coarea Jacobian factor of π1. —
For Hn+m almost every (x,u)∈Σ one has
[TABLE]
Proof.
We recall 2.3.
The right hand inequality follows from Lipπ1=1. Regarding the left hand inequality fix (x,u)=F(x,t) such that F is differentiable at (x,t) and let L:T(x,u)Σ→Rn denote the restriction of π1 to T(x,u)Σ. Put vj=∂xj∂F(x,t), j=1,…,n, and recall (6) that
[TABLE]
since L(vj)=ej, j=1…,n. Now notice that
[TABLE]
Since u=x+∑i=1mtiwi(x) one also has
[TABLE]
Finally,
[TABLE]
and the conclusion follows.
∎
4.3. —
Let 1⩽q⩽n−1 be an integer and let v1,…,vq be an orthonormal family in Rn. There then exists λ∈Λ(n,q) such that
[TABLE]
*Here Λ(n,q) denotes the set of increasing maps {1,…,q}→{1,…,n}.
*
Proof.
We define a linear map L:Rq→Rn:(s1,…,sq)↦∑k=1qskvk and we observe that L is an isometry. Therefore its area Jacobian factor JL=1, by definition. Now also
[TABLE]
according to the Binet-Cauchy formula [4, Chapter 3 §2 Theorem 4]. The conclusion easily follows.
∎
4.4Coarea Jacobian factor of π2. —
The following hold.
(1)
For Hn+m almost every (x,u)∈Σ one has
[TABLE]
2. (2)
For Hn+m almost every (x,u)∈Σ one has JΣπ2(x,u)>0.
Proof.
Clearly JΣπ2(x,u)⩽(Lipπ2)n⩽1. Regarding the left hand inequality fix (x,u)=F(x,t) such that F is approximately differentiable at (x,t) and this time let L:T(x,u)Σ→Rn denote the restriction of π2 to T(x,u)Σ. We will now define a family of n vectors v1,…,vn belonging to T(x,u)Σ. We choose vk=∂tk∂F(x,t)=(0,wk(x)) for k=1,…,m. For choosing the n−m remaining vectors we proceed as follows. We select λ∈Λ(n,n−m) as in 4.3 applied with q=n−m to v1(x),…,vn−m(x), and we let vm+j=∂xλ(j)∂F(x,t), j=1,…,n−m. Recalling (6) we have
and it remains only to find a lower bound for ∣L(v1)∧…∧L(vn)∣. This equals the absolute value of the determinant of the matrix of coefficients of L(vi), i=1,…,n, with respect to any orthonormal basis of Rn. We choose the basis w1(x),…,wm(x),v1(x),…,vn−m(x). Thus
[TABLE]
Abbreviate
[TABLE]
and observe that hλ(j)⩽mΛ∣t∣=mΛ∣x−u∣, j=1,…,n−m (recall the proof of 4.2). It remains only to remember that λ has been selected in order that
[TABLE]
and to infer from the multilinearity of the determinant that
[TABLE]
This completes the proof of conclusion (1).
Let E0 denote the subset of E consisting of those x such that each wi, i=1,…,m, is differentiable at x. Thus E0 is Borel and so is
[TABLE]
If (x,u)∈Σ∼F(A) then the restriction of π2 to T(x,u)Σ is surjective and therefore JΣπ2(x,u)>0. Thus we ought to show that Hn+m(F(A))=0. Since F is Lipschitz it suffices to establish that Ln+m(A)=0. As A is Borel it is enough to prove that Lm(Ax)=0 for every x∈E0, according to Fubini’s Theorem. Fix x∈E0. As in the proof of conclusion (1), choose λ∈Λ(n,n−m) associated with v1(x),…,vn−m(x) according to 4.3. Based on (16) we see that
[TABLE]
The set on the right is of the form Sx=Rm∩{(t1,…,tm):Px(t1,…,tm)=0} for some polynomial Px∈R[T1,…,Tm], and Px(0,…,0)=det(⟨eλ(j),vk(x)⟩)j,k=1,…,n−m=0. It follows that Lm(Sx)=0, see e.g. [7, 2.6.5] and the proof of (2) is complete.
∎
4.5 Proposition. —
The measure ϕE,W is absolutely continuous with respect to Ln.
Proof.
Let B∈B(Rn) be such that Ln(B)=0. It follows from (15) that
[TABLE]
It next follows from 4.4(2) that Hn+m(ΣB)=0. In turn (14) implies that
[TABLE]
∎
4.6Definition of ZEW. —
Note that ϕE,W is a σ finite Borel measure on Rn (see 2.16) and that it is absolutely continuous with respect to Ln (see 4.5). It then ensues from the Radon-Nikodým Theorem that there exists a Borel measurable function
[TABLE]
such that for every B∈B(Rn) one has
[TABLE]
Furthermore ZEW is univoquely defined only up to a Ln null set. This will not affect the reasonings in this paper. Each time we will write ZEW we will mean one particular Borel measurable function verifying the above equality for every B∈B(Rn).
4.7Definition of YE0W. —
We define YE0W:Rn→[0,∞] by the formula
[TABLE]
u∈Rn. Letting B=Rn in (13) one infers from 2.3 that YE0W is Ln measurable. Using the estimates we have established so far regarding coarea Jacobian factors we now show that ZEW and YE0W are comparable when the diameter of E is not too large.
4.8 Proposition. —
Given 0<ε<1 there exists δ4.8(n,Λ,ε)>0 with the following property. If diamE⩽δ4.8(n,Λ,ε) then
[TABLE]
for Ln almost every u∈E.
Proof.
We readily infer from 4.2 and 4.4(1) that there exists δ(n,Λ,ε)>0 such that for Hn+m almost all (x,u)∈Σ if ∣x−u∣⩽δ(n,Λ,ε) then
[TABLE]
and
[TABLE]
where the above define α and β.
Assume now that diamE⩽δ(n,Λ,ε). Given B∈B(E) we infer from (14), 4.2, 4.4(1), (15) and the above lower bounds that
[TABLE]
and
[TABLE]
Thus
[TABLE]
for every B∈B(Rn). The conclusion follows from the Ln measurability of both ZEW and YE0W.
∎
4.9Rest stop. —
The above upper bound for ZEW is already enough to bound it in turn, by a constant times (diamE)m, see 5.4. However I would not know how to use the above lower bound to establish that ZEW>0 almost everywhere in E, which is what we are after. Indeed in the definition (17) of YE0W(u), u does not appear as the covariable of the function whose level set we are measuring, thereby preventing the use of the coarea formula in an attempt to estimate YE0W(u). This naturally leads to adding a variable y∈Rn−m to the fibered space Σ, a covariable for gv1,…,vn−m,u.
4.10A fibered space associated with E,B,w1,…,wm,v1,…,vn−m. —
Let r>0, and abbreviate Cr=Rn−m∩{y:∣y∣⩽r} the Euclidean ball centered at the origin, of radius r in Rn−m. We define
[TABLE]
and
[TABLE]
so that F^r is Lipschitz and Σ^r is countably 2n rectifiable and H2n measurable. Similarly to 4.1 we define
[TABLE]
which clearly is also countably 2n rectifiable and H2n measurable. We aim to apply the coarea formula to Σ^r,B and to the two projections
[TABLE]
and
[TABLE]
To this end we notice that
[TABLE]
and thus
[TABLE]
for every (x,y)∈E×Cr. We further notice that
[TABLE]
because
[TABLE]
and therefore
[TABLE]
whenever u∈B and y∈Cr.
It now follows from the coarea formula and Fubini’s Theorem that
[TABLE]
and that
[TABLE]
4.11Coarea Jacobian factors of π1×π3 and π2×π3. —
The following inequalities hold for H2n almost every (x,u,y)∈Σ^r.
[TABLE]
and
[TABLE]
Proof.
The second conclusion is obvious since Lipπ2×π3=1. Regarding the first conclusion we reason similarly as in the proof of 4.2. Fix (x,u,y)=F^r(x,t,y) such that F^r is differentiable at (x,t,y) and denote by L the restriction of π1×π3 to T(x,u,y)Σ^r. This tangent space is generated by the following 2n vectors of Rn×Rn×Rn−m
[TABLE]
The range of π1×π3 being 2n−m dimensional we need to select 2n−m vectors v1,…,v2n−m in T(x,u,y)Σ^r to obtain a lower bound
[TABLE]
The obvious choice consists of vj=∂xj∂F^r(x,t,y), j=1,…,n, and vn+ℓ=∂yℓ∂F^r(x,t,y), ℓ=1,…,n−m, so that L(v1),…,L(vn−m) is the canonical basis of Rn×Rn−m and therefore the numerator in (22) equals 1. In order to determine an upper bound for its denominator we start by fixing j=1,…,n, we abbreviate aj(x,t,y)=∑i=1mti∂xj∂wi(x)(x) and bj(x,t,y)=∑i=1n−myi∂xj∂vi(x) and we notice that ∣aj(x,t,y)∣⩽mΛ∣t∣⩽nΛ∣t∣, ∣bj(x,t,y)∣⩽(n−m)Λ∣y∣⩽nΛ∣y∣. Furthermore since u−x=∑i=1mtiwi(x)+∑i=1n−myivi(x) one has ∣u−x∣2=∣t∣2+∣y∣2⩽max{∣t∣2,∣y∣2}. Therefore
[TABLE]
Moreover
[TABLE]
for each ℓ=1,…,n−m. We conclude that
[TABLE]
and the proof is complete.
∎
4.12Definition of YEW. —
It follows from the Coarea Theorem that the function
[TABLE]
is Ln⊗Ln−m measurable (recall 4.10 applied with B=Rn). It now follows from Fubini’s Theorem that for each r>0 the function
[TABLE]
is Ln measurable. In turn the function
[TABLE]
is Ln measurable. It is a replacement for YE0W defined in 4.7. We shall establish for ZEW a similar lower bound to that in 4.8, this time involving YEW. Before doing so, we notice the rather trivial fact that if F⊆E then
It follows from the Coarea Theorem that the function
[TABLE]
is Ln⊗Ln−m measurable (recall 4.10 applied with B=Rn). It therefore follows from Fubini’s Theorem as in 4.12 that
[TABLE]
is Ln measurable. Furthermore if B is bounded then ∣fj(x)∣⩽α(m)(diamB)m for every x∈Rn.
4.14. —
If B is compact then for every x∈E the function
[TABLE]
*is upper semicontinuous.
*
Proof.
The proof is analogous to that of 2.14.
For each y∈Rn−m define the compact set Ky=B∩(W(x)+∑i=1n−myivi(x)). If (yk)k is a sequence converging to y we ought to show that
[TABLE]
Since each Ky is a subset of an m dimensional affine subspace of Rn this is indeed equivalent to the same inequality with H∞m replaced by Hm according to 2.2(3). Considering if necessary a subsequence of (yk)k we may assume that none of the compact sets Kyk is empty and the the above limsup is a lim. Considering yet a further subsequence we may now assume that (Kyk)k converges in Hausdorff distance to some compact set L⊆B. One checks that L⊆Ky. It then follows from 2.2(1) that H∞m(Ky)⩾H∞m(L)⩾limsupkH∞m(Kyk).
∎
4.15 Proposition. —
Given 0<ε<1 there exists δ4.15(n,Λ,ε)>0 with the following property.
If diam(E∪B)⩽δ4.15(n,Λ,ε) and if B is compact then
[TABLE]
Proof.
We first observe that we can choose δ\reflb.1(n,Λ,ε)>0 small enough so that
[TABLE]
for H2n almost every (x,u,y)∈Σ^r provided ∣u−x∣⩽δ\reflb.1(n,Λ,ε), according to 4.11. Thus (23) holds for H2n almost every (x,u,y)∈Σ^r,B under the assumption that diam(E∪B)⩽δ\reflb.1(n,Λ,ε). When (20), (21) and 4.11 imply that
[TABLE]
Fix x∈E and β>0. According to 4.14 there exists a positive integer j(x,β) such that if j⩾j(x,β) then
[TABLE]
Taking the limsup as j→∞ on the right hand side, and letting β→0 we obtain
[TABLE]
As this holds for all x∈E we may integrate over E with respect to Ln. Noticing that for every j=1,2,… (with the notation of 4.13) ∣fj∣⩽α(m)(diamB)m\mathbbm1E, the latter being Ln summable, justifies the application of the reverse Fatou lemma below. Thus the following ensues from (25), the reverse Fatou lemma, (24), and the Fatou lemma:
[TABLE]
∎
4.16 Corollary. —
If 0<ε<1 and diamE⩽δ\reflb.1(n,Λ,ε) then
[TABLE]
for Ln almost every u∈E.
5. Upper bound for YEW and ZEW
5.1Bow Tie Lemma. —
Let S⊆Rn, W∈G(n,m) and 0<τ<1. Assume that
[TABLE]
There then exists F:PW(S)→Rn such that S=imF and LipF⩽1−τ21. In particular
[TABLE]
Proof.
Let x,x′∈S and define ρ=∣x−x′∣⩽diamS. Thus x′∈S∩B(x,ρ) and therefore ∣PW⊥(x−x′)∣⩽τρ=τ∣x−x′∣. Since ∣x−x′∣2=∣PW(x−x′)∣2+∣PW⊥(x−x′)∣2 we infer that
[TABLE]
Therefore PW∣S is injective, and the Lipschitz bound on F=(PW∣S)−1 clearly follows from the above inequality. Regarding the second conclusion,
[TABLE]
and PW(S) is contained in a ball of radius diamPW(S)⩽diamS.
∎
5.2. —
Given 0<τ<1 there exists δ5.2(n,Λ,τ)>0 with the following property. If
(1)
x0∈U* and u∈Rn;*
2. (2)
diam(E∪{x0}∪{u})⩽δ5.2(n,Λ,τ);
Then: For every y∈Rn−m, for every x∈E∩gv1,…,vn−m,u−1{y} and for every 0<ρ<∞ one has
[TABLE]
Proof.
We shall show that δ\refub.1(n,Λ,τ)=2Λnτ will do. Let x,x′∈E∩gv1,…,vn−m,u−1{y} for some y∈Rn−m. Thus gv1,…,vn−m,u(x)=gv1,…,vn−m,u(x′) and hence
[TABLE]
thus
[TABLE]
In turn,
[TABLE]
∎
5.3 Proposition. —
There are δ5.3(n,Λ)>0 and c5.3(m)⩾1 with the following property. If u∈U and diam(E∪{u})⩽δ5.3(n,Λ) then
[TABLE]
Proof.
Let δ\refupper.bound(n,Λ)=δ\refub.1(n,Λ,1/2).
Recall the definitions of YE0W and YEW from 4.7 and 4.12 respectively. If E=∅ the conclusion is obvious. If not pick x0∈E arbitrarily. Given any y∈Rn−m we see that 5.2 applies with τ=1/2 and in turn the bow-tie lemma 5.1 applies to S=E∩gv1,…,vn−m,u−1{y} and W=W0(x0). Thus
[TABLE]
The proposition is proved.
∎
5.4 Corollary. —
There are δ5.4(n,Λ)>0 and c5.4(n)⩾1 with the following property. If diamE⩽δ5.4(n,Λ) then
[TABLE]
for Ln almost every u∈E.
Proof.
Let δ\refcor.ub(n,Λ)=min{δ\refupper.bound(n,Λ),δ\refZ.1(n,Λ,1/2)}.
∎
6. Lower bound for YEW and ZEW
6.1Setting for this section. —
We enforce again the exact same assumptions as in 3.1, and as in 4.10 we let Cr=Rn−m∩{y:∣y∣⩽r}.
6.2Polyballs. —
Given x0∈Rn and r>0 we define
[TABLE]
We notice that if x∈CW(x0,r) then ∣x−x0∣⩽r2, in particular diamCW(x0,r)⩽22. We also notice that Ln(CW(x0,r))=α(m)α(n−m)rn.
6.3. —
Given 0<ε<1 there exists δ6.3(n,Λ,ε)>0 with the following property. If
(1)
0<r<δ6.3(n,Λ,ε);
2. (2)
u∈CW(x0,r)⊆U;
3. (3)
∣gv1,…,vn−m,u(x0)∣⩽(1−3ε)r;
4. (4)
C⊆Cεr* is closed;*
then
[TABLE]
6.4 Remark. —
With hopes that the following will help the reader form a geometrical imagery: Under the circumstances 6.3, CW(x0,r)∩gv1,…,vn−m,u−1(C) may be seen as a <<nonlinear stripe>>, <<horizontal>> with respect to W0(x0), <<at height>> gv1,…,vn−m,u(x0) with respect to x0, and of <<width>> C.
and we consider the isometric parametrization γz:Cr→Vz defined by the formula
[TABLE]
We also abbeviate fz,u=gv1,…,vn−m,u∘γz.
Claim #1. Lipfz,u⩽(1+ε)n−m1.
Since γz is an isometry it suffices to obtain an upper bound for Lipgv1,…,vn−m,u∣CW(x0,r). Let x,x′∈CW(x0,r),
[TABLE]
Recalling hypothesis (1) it is now apparent that δ\ref53 can be chosen small enough according to n, Λ and ε so that Claim #1 holds.
Claim #2. For Ln−m almost every y∈Cr one has ∥Dfz,u(y)−idRn−m∥⩽ε.
Let y∈Cr be such that fz,u is differentiable at y.
We shall estimate the coefficients of the matrix representing Dfz,u(y) with respect to the canonical basis. Fix i,j=1,…,n−m and recall (7):
[TABLE]
Next notice that
[TABLE]
where the last inequality follows from hypothesis (1) upon choosing δ\ref53 small enough according to n, Λ and ε. Moreover,
[TABLE]
Therefore if (aij)i,j=1,…,n−m is the matrix representing Dfz,u(y) with respect to the canonical basis we have shown that ∣aij−δij∣⩽n−mε for all i,j=1,…,n−m. This completes the proof of Claim #2.
Claim #3. Cεr⊆fz,u(Cr).
We shall show that ∣y−fz,u(y)∣⩽(1−ε)r for every y∈BdryCr and the conclusion will become a consequence of the Intermediate Value Theorem in case m=n−1, and a standard application of homology theory, see e.g. [3, 4.6.1] in case m<n−1. If m<n−1 it is clearly enough to establish this inequality for Hn−m−1 almost every y∈BdryCr: In that case, owing to the Coarea Theorem [7, 3.2.22] we choose such y in order that fz,u is differentiable H1 almost everywhere on the line segment Rn−m∩{sy:0⩽s⩽1}. Whether m<n−1 or m=n−1 it then follows from Claim #2 that
[TABLE]
Accordingly,
[TABLE]
and the claim will be established upon showing that ∣fz,u(0)∣⩽(1−2ε)r. Note that fz,u(0)=gv1,…,vn−m,u(x0+z), and we shall use hypothesis (3) to bound its norm from above. Given j=1,…,n−m recall that ⟨vj(x0),z⟩=0 thus
[TABLE]
where the last inequality holds according to hypothesis (1) provided δ\ref53 is chosen sufficiently small. In turn
[TABLE]
according to hypothesis (3).
Claim #4. For every z∈W0(x0)∩B(0,r) and every closed C⊆Cεr one has Hn−m(C)⩽(1+ε)Hn−m(gv1,…,vn−m,u−1(C)∩Vz).
First notice that
[TABLE]
and therefore
[TABLE]
since γz is an isometry. Now since C⊆Cεr⊆fz,u(Cr) according to Claim #3 we have
[TABLE]
It therefore follows from Claim #1 that
[TABLE]
We are now ready to finish the proof by an application of Fubini’s Theorem :
[TABLE]
∎
6.5Lower bound for YEW. —
Given 0<ε<1/3 there exists δ6.5(n,Λ,ε)>0 with the following property. If
(1)
0<r<δ6.5(n,Λ,ε);
2. (2)
CW(x0,r)⊆U;
3. (3)
A⊆U* is closed;*
4. (4)
Ln(A∩CW(x0,r))⩾(1−ε)Ln(CW(x0,r));
then
[TABLE]
*where c6.5(n)=5+6n.
*
Proof.
Similarly to the proof of 6.3 we will first establish a lower bound for YA∩CW(x0,r)W on <<vertical slices>> Vz of the given polyball and then apply Fubini. Given z∈W0(x0)∩B(0,r) we let Vz and γz be as in 6.3 and we also define
[TABLE]
(notice it is slightly smaller than Vz used in the proof of 6.3) and we consider the isometric parametrization γˇz:C(1−3ε)r→Vˇz defined by
[TABLE]
For part of the proof we find it convenient to abbreviate E=A∩CW(x0,r).
We also let YˇEW=(YEW)∘γˇz.
By definition of YEW for each γˇz(y)∈Vˇz there exists a collection Cy of closed balls in Rn−m with the following properties: For every C∈Cy, C is a ball centered at 0, C⊆Cεr,
[TABLE]
and inf{diamC:C∈By}=0.
Furthermore YˇEW being Ln−m summable according to 5.3 there exists N⊆C(1−3ε)r such that Ln−m(N)=0 and every y∈N is a Lebesgue point of YˇEW. For such y we may reduce Cy if necessary, keeping all the previously stated properties and enforcing that
[TABLE]
whenever C∈Cy.
We infer that for each y∈C(1−3ε)r∼N and each C∈Cy,
[TABLE]
It follows from the Vitali Covering Theorem that there is a sequence (yk)k in C(1−3ε)r∼N, and Ck∈Cyk, such that the balls yk+Ck, k=1,2,…, are pairwise disjoint, and Ln−m(C(1−3ε)r∼∪k=1∞(yk+Ck))=0. It therefore follows from (26) and the fact that γz is an isometry that
[TABLE]
where we have abbreviated uk=γˇz(yk). We also abbreviate Sk=gv1,…,vn−m,uk−1(Ck) and we infer from the coarea formula that for each k=1,2,…,
[TABLE]
where the last inequality follows from 2.12 applied with U=IntCW(x0,r) provided that δ\ref54(n,Λ,ε) is chosen smaller than (22)−1δ\refjac.g(n,Λ,ε). Letting S=∪k=1∞Sk, and recalling that E=A∩CW(x0,r), we infer from (27) and (28) that
[TABLE]
Applying 6.3 to each Sk does not immediately yield a lower bound for Ln(CW(x0,r)∩S) because the Sk are not necessarily pairwise disjoint. This is why we now introduce slightly smaller versions of these:
[TABLE]
Claim. The sets Sˇk∩CW(x0,r), k=1,2,…, are pairwise disjoint.
Assume if possible that there are j=k and x∈Sˇj∩Sˇk∩CW(x0,r). Letting ρj and ρk denote respectively the radius of Cj and Ck we notice that ρj+ρk<∣yj−yk∣ because (yj+Cj)∩(yk+Ck)=∅. Since γˇz is an isometry we have ∣uj−uk∣=∣γˇz(yj)−γˇz(yk)∣=∣yj−yk∣ and therefore also
[TABLE]
We now introduce the following vectors of Rn−m,
[TABLE]
and we notice that
[TABLE]
where the second equality holds because uj−uk∈W0(x0)⊥ as clearly follows from the definition of γˇz. Furthermore
[TABLE]
since we may choose δ\ref54(n,Λ,ε) to be so small that the last inequality holds according to hypothesis (1). Whence
[TABLE]
in contradiction with (30). The Claim is established.
Thus
[TABLE]
where the last ineqality follows from 6.3. We notice that indeed 6.3 applies since Cˇk⊆Ck⊆Cεr and ∣gv1,…,vn−m,uk(x0)∣=PW0(x0)⊥(uk−x0)=∣yk∣⩽(1−3ε)r.
There exists δ6.8(n,Λ)>0 with the following property. If diamE⩽δ6.8(n,Λ) then
[TABLE]
for Ln almost every u∈E.
Proof.
We let
[TABLE]
According to 4.16 it suffices to show that YEW(u)>0 for Ln almost every u∈E. Define Z=E∩{u:YEW(u)=0} and assume if possible that Ln(Z)>0. Since Z is Ln measurable (recall 4.12) there exists a compact set A⊆Z such that Ln(A)>0. Observe that the sets CW(x,r), x∈U and r>0, form a derivation basis for Ln measurable subsets of U (because their excentricity is bounded away from zero) thus there exists x0∈A and r0>0 such that
[TABLE]
whenever 0<r<r0. There is no restriction to assume that r0 is small enough for CW(x0,r0)⊆U. Thus if we let r=min{r0,δ\reflower.bound(n,Λ,1/(4c\reflower.bound(n)))} it follows from 6.6 that
[TABLE]
On the other hand recalling 4.12 and the fact that A∩CW(x0,r)⊆E we infer that YA∩CW(x0,r)W(u)⩽YE(u) for all u∈Rn. In particular YA∩CW(x0,r)W(u)=0 for all u∈A∩CW(x0,r)⊆Z, contradicting (33).
∎
7. Proof of the theorem
7.1 Theorem. —
Assume that S⊆Rn, W0:S→G(n,m) is Lipschitz and A⊆S is Borel. The following are equivalent.
(1)
Ln(A)=0.
2. (2)
For Ln almost every x∈A, Hm(A∩W(x))=0.
3. (3)
For Ln almost every x∈S, Hm(A∩W(x))=0.
Recall our convention that W(x)=x+W0(x).
Proof.
Since G(n,m) is complete we can extend W0 to the closure of S. Furthermore if the Theorem holds for ClosS then it also holds for S. Thus there is no restriction to assume that S is closed.
(1)⇒(3). It follows from 2.8 that each x∈S admits an open neighborhood Ux in Rn such that W(x) can be associated with a Lipschitz orthonormal frame verifying all the conditions of 3.1 for some Λx>0. Since S is Lindelöf there are countably many x1,x2,… such that S⊆∪jUxj. Letting Ej=S∩Uxj we infer from 4.5 that ϕEj,W is absolutely continuous with respect to Ln. Thus if Ln(A)=0 then Hm(A∩W(x))=0 for Ln almost every x∈Ej by definition of ϕEj,W. Since j is arbitrary the proof is complete.
(3)⇒(2) is trivial.
(2)⇒(1) Let A verify condition (3). It is enough to show that Ln(A∩B(0,r))=0 for each r>0. Fix r>0 and define Sr=S∩B(0,r). Consider the Uxj defined in the second paragraph of the present proof; since Sr is compact only finitely many of those, say Ux1,…,UxN, cover Sr. Let Λ=maxj=1,…,NΛxj. Partition each Uxj, j=1,…,N, into Borel sets Ej,k, k=1,…,Kj, such that diamEj,k⩽δ\refZ.positive(n,Λ). It then follows from 6.8 that
[TABLE]
for Ln almost every u∈A∩Ej,k. Now fix j and k. Observe that Hm(A∩Ej,k∩W(x))=0 for Ln almost every x∈A∩Ej,k. Thus ϕA∩Ej,k,W(A∩Ej,k)=0. Moreover,
[TABLE]
It follows from (34) that Ln(A∩Ej,k)=0. Since j and k are arbitrary, Ln(A)=0.
∎
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