This paper establishes the isodiametric inequality in both spherical and hyperbolic geometries, extending classical geometric results to non-Euclidean spaces.
Contribution
The paper provides the first proof of the isodiametric inequality in spherical and hyperbolic spaces, generalizing Euclidean results to curved geometries.
Findings
01
Proved the isodiametric inequality in spherical space.
02
Proved the isodiametric inequality in hyperbolic space.
03
Extended classical geometric inequalities to non-Euclidean geometries.
Abstract
We prove the isodiametric inequality in the spherical and in the hyperbolic space
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TopicsPoint processes and geometric inequalities · Geometric Analysis and Curvature Flows · Mathematics and Applications
Full text
The isodiametric problem on the sphere and in the hyperbolic space
Károly J. Böröczky, Ádám Sagmeister
Alfréd Rényi Institute of Mathematics, Hungarian Academy
of Sciences, Reltanoda u. 13-15, H-1053 Budapest, Hungary, and
Department of Mathematics, Central European University, Nador u 9, H-1051, Budapest, Hungary
Let Mn be either the Euclidean space Rn, hyperbolic space Hn or spherical space Sn for n≥2. We write VMn to denote the n-dimensional volume (Lebesgue measure) on Mn,
and dMn(x,y) to denote the geodesic distance between x,y∈Mn.
For a bounded set X⊂Mn, its diameter diamMnX is the supremum of the geodesic distances dMn(x,y) for x,y∈X.
For D>0 and n≥1, our goal is to determine the maximal volume of a subset of Mn of diameter at most D. For any z∈Mn and r>0, let
[TABLE]
be the n-dimensional ball centered at z where it is natural to assume r<π if Mn=Sn.
When it is clear from the context what space we consider, we drop the subscript referring to the ambient space.
In order to speak about the volume of a ball of radius r, we fix a reference point z0∈Mn where
z0=o the origin if Mn=Rn.
It is well-known, due to Bieberbach [4] in R2 and
P. Urysohn [8] in Rn, that if X⊂Rn is measurable and bounded with
diamX=D, then
[TABLE]
and equality holds if and only if the closure of X is a ball of radius D/2.
We prove the following hyperbolic- and spherical analogues of (1).
Theorem 1.1**.**
If D>0 and X⊂Hn is measurable and bounded with
diamX≤D, then
[TABLE]
and equality holds if and only if the closure of X is a ball of radius D/2.
Theorem 1.2**.**
If D∈(0,π) and X⊂Sn is measurable with
diamX≤D, then
[TABLE]
and equality holds if and only if the closure of X is a ball of radius D/2.
On S2, Hernández Cifre, Martínez Fernández [6] proved a stronger version of
Theorem 1.2 for centrally symmetric sets of diameter less than π/2.
The proofs of Theorem 1.1 and Theorem 1.2 build strongly on ideas related to two-point symmetrization in the paper
Aubrun, Fradelizi [1].
After reviewing the basic properties of spaces of constant curvature in Secion 2,
we consider the extremal sets in Section 3 and convex sets in
Section 4 from our point of view. The main tool of this paper, two-point symmetrization, is introduced in
Section 5 where we actually prove Theorem 1.2 if D≤2π and Theorem 1.1. The reason why the argument is reasonably simple (kind of a proof from Erdős’ Book) for
Theorem 1.2 if D≤2π and for Theorem 1.1 is that it is easy to show that the extremal sets are convex in these cases. However, if D>2π in the spherical case, then a priori much less information is availabe on the extremal sets, therefore a more technical argument is provided in
Section 6.
2. Spaces of constant curvature
Let Mn be either Rn, Hn or Sn. Our focus is on the spherical- and hyperbolic space, and we assume that Sn is embedded into Rn+1 the standard way,
and Hn is embedded into Rn+1 using the hyperboloid model. We write ⟨⋅,⋅⟩ to denote
the standard scalar product in Rn+1, write
z⊥={x∈Rn+1:⟨x,e⟩=0} for z∈Rn+1\o and fix an e∈Rn+1.
In particular, we have
[TABLE]
For Hn, we also consider the following symmetric bilinear form B on Rn+1: If x=x0+te∈Rn+1 and y=y0+se∈Rn+1 for
x0,y0∈e⊥ and t,s∈R, then
[TABLE]
In particular,
[TABLE]
Again let Mn be either Rn, Hn or Sn using the models as above for Hn and Sn. For
z∈Mn, we define the tangent space Tz as
[TABLE]
We observe that Tz is an n-dimensional real vector space equipped with the scalar product
−B(⋅,⋅) if Mn=Hn, and with the scalar product
⟨⋅,⋅⟩ if Mn=Sn or Mn=Rn.
Let us consider lines and (n−1)-dimensional (totally geodesic) subspaces of Mn. A line ℓ⊂Mn passing through
a z∈Mn is given by a unit vector u∈Tz; namely, −B(u,u)=1 if
Mn=Hn, and ⟨u,u⟩=1 if
Mn=Sn or Mn=Rn, and the line ℓ is parameterized by
[TABLE]
where dMn(x,z)=∣t∣. In addition, the (n−1)-dimensional subspace of Mn
passing through z∈Mn and having normal vector v∈Tz\{o} is
[TABLE]
We say that a non-empty compact set C⊂Mn with C=Sn is solid, if C is the closure of intMnC.
For such a C, we say that x∈∂MnC is strongly regular if there exists
r>0 and z∈C such that BMn(z,r)⊂C and
x∈∂MnBMn(z,r). In this case,
we set NC(x)∈Tx to be an exterior unit vector at x; namely,
[TABLE]
Lemma 2.1**.**
If C⊂Mn is solid, then the strongly regular boundary points are dense
in ∂MnC.
Proof.
Let z∈∂MnC, and let ε>0. As C is solid, we may choose
an x∈intMnC such that dMn(x,z)<ε/2. Let r>0
be maximal with the property that BMn(x,r)⊂C, and hence
r≤dMn(x,z) and there exists
[TABLE]
Therefore y is a strongly regular boundary point, and the triangle inequality yields that dMn(y,z)<ε.
∎
According to Vinberg [9], the “Standard Hypersurfaces” in either Rn, Hn or Sn are as follows:
•
Hyperplanes of the form
{x∈Rn:⟨x,p⟩=t} in Rn for p∈Rn\o and t∈R;
•
∂RnB(z,r)={x∈Rn:⟨x−z,x−z⟩=r2} in Rn for z∈Rn and r>0;
•
∂SnB(z,r)={x∈Sn:⟨x,z⟩=cosr} in Sn for z∈Sn and r∈(0,π), hence
for any p∈Rn+1\o and t∈R, the set {x∈Sn:⟨x,p⟩=t} is either empty, a point, or the boundary of a spherical ball;
•
∂HnB(z,r)={x∈Hn:⟨x,z⟩=chr} in Hn for
r>0 and z∈Hn, hence for any t∈R and p∈Rn+1\o
with B(p,p)>0, the set {x∈Hn:B(x,p)=t} is either empty, a point, or the boundary of a hyperbolic ball;
•
Hyperplanes of the form
{x∈Hn:B(x,p)=0} in Hn for p∈Rn\o with B(p,p)<0;
•
Hyperspheres of the form
{x∈Hn:B(x,p)=t} in Hn for t∈R\0 and p∈Rn\o with B(p,p)<0;
•
Horospheres of the form
{x∈Hn:B(x,p)=t} in Hn for t∈R\0 and p∈Rn\o with B(p,p)=0.
We note the following properties.
Lemma 2.2**.**
If Ξ is a standard hypersurface in Mn
where Mn is either Rn, Hn or Sn, then
Mn\Ξ has two connected components,
the boundary of both components is Ξ, and any of these components is bounded if and only if the component is an open ball.
Corollary 2.3**.**
If Mn is either Rn, Hn or Sn, and C⊂Mn, C=Mn is a solid set whose strongly regular boundary points are contained in a fixed standard hypersurface, then C is a ball.
Proof.
Let Ξ be standard hypersurface containing the strongly regular boundary points of C.
Since Ξ is closed and strongly regular boundary points are dense in ∂MnC according to Lemma 2.1, we have
[TABLE]
Next we prove
[TABLE]
We suppose that there exists z∈Ξ\∂MnC, and seek a contradiction. We consider
some y∈(intMnC)\Ξ, thus Lemma 2.2 yields that
there exists a continuous curve γ:[0,1]→Mn such that γ(0)=y, γ(1)=z
and γ(t)∈Ξ for t<1. As z∈C, there exists s=max{t:γ(t)∈C}<1. It follows that
γ(s)∈(∂MnC)\Ξ, contradicting (3), and proving (4).
We deduce from (4) that
intMnC is the union of the components of Mn\Ξ,
and since C=Mn,
intMnC is one of the components of Mn\Ξ by Lemma 2.2.
As C is bounded, we conclude that C is a ball again by Lemma 2.2.
∎
In the final part of this section, we assume that Mn is either Hn or Sn, and
use the models in Rn+1 above.
For k=1,…,n−1, the k-dimensional totally geodesic subspaces are of the form L∩Mn where
L is a linear (k+1)-dimensional subspace of Rn+1 with L∩Mn=∅. Next, we define π:Rn+1\e⊥→e⊥+e by
[TABLE]
It follows that the restriction of π to Hn is a diffeomorphism into
the “open” n-ball {x∈e⊥+e:dRn+1(x,e)<1}, and
the restriction of π to intSnBSn(e,2π) is a diffeomorphism into
the affine n-plane e⊥+e of Rn+1. In addition,
for any k=1,…,n−1, π induces a natural bijection between
certain k-dimensional affine subspaces of e⊥+e and certain
k-dimensional totally geodesic subspaces of Mn not contained in e⊥.
In particular, if L is a (k+1)-dimensional linear subspace of Rn+1, then
[TABLE]
3. D-maximal sets
The main tool to obtain convex bodies with extremal properties is the Blaschke Selection Theorem.
First we impose a metric on non-empty compact subsets. Let Mn be either Rn, Hn or Sn.
For a non-empty compact set C⊂Mn and z∈Mn, we set dMn(z,C)=minx∈CdMn(z,x).
For any non-empty compact set C1,C2⊂Mn, we define their Hausdorff distance
[TABLE]
The Hausdorff distance is a metric on the space of non-empty compact subsets in Mn.
We say that a sequence {Cm} of non-empty compact subsets of Mn is bounded if there is a ball containing every Cm.
For non-empty compact sets Cm,C⊂Mn, we write Cm→C to denote if
the sequence {Cm} tends to C in terms of the Hausdorff distance.
The following is well-known and we present the easy argument for the sake of completeness (see Theorem 1.8.8 in R. Schneider [7] for the case when each set is convex).
Lemma 3.1**.**
For non-empty compact sets Cm,C⊂Mn where Mn is either Rn, Hn or Sn, we have Cm→C if and only if
**(i): **
assuming xm∈Cm, the sequence {xm} is bounded and any accumulation point of {xm}
lies in C;
**(ii): **
for any y∈C, there exist xm∈Cm for each m such that limm→∞xm=y.
Proof.
First we assume that Cm→C. For (i), if xm∈Cm, then let ym∈C be a point closest to xm. Now limm→∞dMn(xm,Cm)=0 yields that {xm} is bounded and the sequences {xm} and {ym} have the same set of accumulation points, proving (i). For (ii), let y∈C, and let xm∈Cm be a point closest to y.
We have limm→∞xm=y because limm→∞dMn(y,Cm)=0.
Next we assume that (i) and (ii) hold for {Cm} and C. Let xm∈Cm be a point farthest from C and let
ym∈C be a point farthest to Cm, and hence both {xm} and {ym} are bounded. We choose
subsequences {xm′}⊂{xm} and {ym"}⊂{ym} such that
[TABLE]
We may also assume that limm′→∞xm′=x and limm"→∞ym"=y where
x∈C by (i) and y∈C by the compactness of C. On the one hand, it follows that
limm→∞dMn(xm,C)=0. On the other hand, there exists zm∈Cm such that
limm→∞zm=y by (ii), therefore limm→∞dMn(ym,Cm)=0 as well.
∎
The space of non-empty compact subsets of Mn is locally compact according to the Blaschke Selection Theorem
(see R. Schneider [7]).
Theorem 3.2** (Blaschke).**
If Mn is either Rn, Hn or Sn,
then any bounded sequence of non-empty compact subsets of Mn has
a convergent subsequence.
Let us consider convergent sequences of compact subsets of Mn.
Lemma 3.3**.**
Let Mn be either Rn, Hn or Sn, and
let the sequence {Cm} of non-empty compact subsets of Mn tend to C.
For (ii), it is sufficient to prove that for any ε>0, there exists M such that
VMn(Cm)≤VMn(C)+ε if m≥M. Choose r>0
such that the open set
[TABLE]
satisfies VMn(Ur)≤VMn(C)+ε. Such an r exists as C is compact.
We choose M such that δMn(Cm,C)<r if m≥M, and hence
Cm⊂Ur if m≥M.
∎
For D>0 where D<π if Mn=Sn, we say that a compact set C⊂Mn
is D-maximal if diamMnC≤D and
[TABLE]
Theorem 3.4**.**
Let Mn be either Rn, Hn or Sn, and let
D>0 where D<π if Mn=Sn.
**(i): **
There exists a D-maximal set in Mn.
**(ii): **
For any D-maximal set C in Mn and z∈∂MnC,
there exists y∈∂MnC such that dMn(z,y)=D.
Proof.
Let {Cm} be a sequence of compact subsets of Mn with z0∈Cm,
diamMnCm≤D and
[TABLE]
According to the Blaschke Selection Theorem Theorem 3.2, we may asume that
the sequence {Cm} tends to a compact subset X⊂Mn. Here X is a D-maximal set by Lemma 3.3.
Next let C be any D-maximal set in Mn, and let z∈∂MnC.
We suppose that
Δ=maxx∈CdMn(z,x)<D,
and seek a contradiction. As z∈∂MnC, there exists some
y∈BMn(z,21(D−Δ))\C, and hence
BMn(y,r)∩C=∅ for some r∈(0,21(D−Δ)).
Therefore X=C∪BMn(z,r) satisfies that
VMn(X)>VMn(C) and diamMnX≤D,
which is a contradiction verifying (ii).
∎
4. Convex sets
Let Mn be either Rn, Hn or Sn.
For x,y∈Mn where x=−y if Mn=Sn, we write [x,y]Mn to denote the geodesic segment between x and y whose length is
dMn(x,y).
We call X⊂Mn convex if [x,y]Mn⊂X
for any x,y∈X, and in addition we assume that X is contained in an open hemisphere if Mn=Sn.
For Z⊂Mn where we assume that
Z is contained in an open hemisphere if Mn=Sn, the convex hull convMnZ is the intersection of all convex sets containing Z.
We observe that for a non-empty compact convex Z⊂Mn, the conditions that VMn(Z)>0,
intMnZ=∅ and Z is solid are equivalent.
We deduce from (5) and (6) that
if x,y∈Hn or x,y∈intSnBSn(e,2π),
and Mn is either Hn or Sn, respectively, then
π([x,y]Mn)=[π(x),π(y)]Rn+1; namely, the Euclidean segment in e⊥+e.
Thus for a
subset Z of either Hn or intSnBSn(e,2π), Z is convex
on Hn or Sn, respectively, if and only if π(Z)⊂e⊥+e is convex.
Since on the sphere, it is an important issue whether a set Z⊂Sn is contained in an open hemisphere, we note the following condition:
Lemma 4.1**.**
If diamSnX<arccosn+1−1 for X⊂Sn, then X is contained in
an open hemisphere.
Proof.
We may assume that X is compact. Let Z=convRn+1X, and hence Z is compact as well.
Let z∈Z be the unique closest point of Z to o.
It follows from the Charathéodory theorem applied in Rn+1
that there exist x1,…,xn+2∈X and α1,…,αn+2∈[0,1]
satisfying α1+…+αn+2=1 and
[TABLE]
As diamSnX<arccosn+1−1, we have
⟨xi,xj⟩>n+1−1 for any i=j. We deduce
from 2αiαj≤αi2+αj2 that
[TABLE]
therefore X⊂Z⊂{x∈Rn+1:⟨x,z⟩>0}.
∎
Lemma 4.2**.**
If either Mn=Hn and r>0, or Mn=Sn
and r∈(0,2π), then BMn(z,r) is convex for any z∈Mn. In addition,
if X⊂Sn convex, then X∩BSn(z,2π) is convex.
Proof.
For the case Mn=Hn and r>0, or Mn=Sn
and r∈(0,2π), we may assume that z=e. Thus π(BMn(z,r)) is a Euclidean ball in e⊥+e, which in turn yields that BMn(e,r) is convex.
If X⊂Sn is convex, then we may assume that X⊂intSnBSn(e,2π).
For H+={x∈Rn+1:⟨z,x⟩≥0}, we have
[TABLE]
which is convex, and hence X∩BSn(z,2π) is convex as well.
∎
We remark that
BSn(z,r) is not convex if r∈[2π,π).
Lemma 4.3**.**
Let Mn be either Rn, Hn or Sn, and let
X⊂Mn be compact, non-empty and satisfy
diamX≤2π in the case of Mn=Sn. Then
**(i): **
diamMnconvMnX=diamMnX;
**(ii): **
VMn(convMnX)>VMn(X)* if VMn(convMnX)>0
and convMnX=X.*
Proof.
For (i), let diamX=D and let x1,x2∈convMnX.
First, we consider the case when Mn is either Rn or Hn.
Since X⊂BMn(x1,D) and BMn(x1,D) is convex
by Lemma 4.2, we have
x2∈BMn(x1,D). Therefore dMn(x1,x2)≤D.
If Mn=Sn, then Lemma 4.1 yields that
X⊂BSn(z,R) for some z∈Sn and R∈(0,2π).
Since X⊂BSn(x1,D)∩BSn(z,R), which is convex
by Lemma 4.2, we have
x2∈BSn(x1,D)∩BSn(z,R). Therefore dSn(x1,x2)≤D,
finally proving (i).
For (ii), we assume that V(Z)>0 for Z=convMnX and Z=X.
As Z is convex, it follows that the closure of intZ is Z
Since X is compact and X=Z, there exists some z∈(intZ)\X. Therefore
BMn(z,r)⊂(intZ)\X for some r>0, proving that
V(Z)>V(X).
∎
Theorem 3.4 guarantees the existence of D-maximal sets, and Lemma 4.3
yields
Corollary 4.4**.**
If Mn is either Rn, Hn or Sn, and
D>0 where D≤2π if Mn=Sn, then
any D-maximal set in Mn is convex.
Using the map π, (5) and (6) in the spherical- and hyperbolic case, we deduce
from Lemma 2.1
Lemma 4.5**.**
If Mn is either Rn, Hn or Sn,
K⊂Mn is convex with intMnK=∅
and z∈∂MnK, then there exists a supporting hyperplane of Mn
containing z and not intersecting intMnK. In addition,
if z is a strongly regular boundary point, then there exists a unique supporting hyperplane, and its
unit exterior normal is NK(z).
In turn, we deduce the following statement, which will be important in identifying boundary points of
a two-point symmetrization.
Lemma 4.6**.**
Let Mn be either Rn, Hn or Sn,
let K⊂Mn be convex with intMnK=∅,
and let x,y∈∂MnK.
**(i): **
If [x,y]Mn∩intMnK=∅,
then ℓ∩K=[x,y]Mn for the line ℓ passing through x and y.
**(ii): **
If [x,y]Mn⊂∂MnK, then there exists
a supporting hyperplane Π to K containing [x,y]Mn.
5. Two-point symmetrization
Let Mn be either Rn, Hn or Sn, let H+ be a closed half space bounded by the (n−1)-dimensional subspace H in Mn, and let
X⊂Mn be compact and non-empty. We write H− to denote the other closed half space of Mn determined by H and
σH(X) to denote the reflected image of X through the (n−1)-subspace H.
The two-point symmetrization τH+(X) of X with respect to H+ is a rearrangement of X by replacing
(H−∩X)\σH(X) by its reflected image through H where readily this reflected image is disjoint from X. Naturally, interchanging the role of H+ and H− results in taking the reflected image of τH+(X) through H. Since this operation does not change any relevant property of the new set, we simply use the notation τH(X) (see Figure 1).
Lemma 5.1**.**
Let Mn be either Rn, Hn or Sn, let H+ be a half space, and let
X⊂Mn be compact and non-empty such that diamMn(X)<π if Mn=Sn. Then τH(X)=τH+(X) is compact and satisfies
Properties (i) and (ii) are just reformulations of the definition of two-point symmetrization, and they
directly yield (iii) and the compactness of τH(X).
For (iv), let x,y∈τH(X).
If either x,y∈X or x,y∈σH(X), then readily
dMn(x,y)≤diamMn(X). Otherwise, we may assume that
x∈X\σH(X) and y∈σH(X)\X, thus
x∈X∩(H+\H) and y∈σH(X)∩(H+\H).
It follows that σH(y)∈X∩(H−\H), and hence
[x,σH(y)]Mn intersects H in a unique z where
x,σH(y)∈X implies that [x,σH(y)]Mn is well-defined even if
Mn=Sn.
Applying the triangle inequality to x,y,z, we deduce that
[TABLE]
∎
Two-point symmetrization appeared first in V. Wolontis [10]. It is applied to prove the
isoperimetric inequality in the spherical space by
Y. Benyamini [2], and the spherical analogue of the Blaschke-Santaló inequality by
Gao, Hug, Schneider [5].
The following statement was proved by
Aubrun, Fradelizi [1] in the Euclidean- and spherical case. Here we provide a somewhat more detailed version of the argument in [1].
Part of the reason for more details is that
in the case 2π<D<π of Theorem 1.2 concerned about Sn,
we use many ideas of the proof of Theorem 5.2 on the one hand,
however, many essential ingredients of the argument for Theorem 5.2 do not hold anymore.
Theorem 5.2**.**
If Mn is either Hn or Sn, and the compact, convex K⊂Mn
with non-empty interior satisfies that
τH(K) is convex for any (n−1)-dimensional subspace H of Mn, then K is a ball.
Proof.
Let the compact and convex K⊂Mn with non-empty interior satisfy that
τH(K) is convex for any (n−1)-dimensional subspace H of Mn.
First we prove that for any pair x,y∈∂MnK, x=y, of strongly regular points,
writing H to denote the perpendicular bisector (n−1)-subspace of [x,y]Mn, we have
by observing [x,y]Mn⊂τH(K) and distinguishing two cases.
If [x,y]Mn⊂∂MnK, then
there exists a supporting (n−1)-dimensional subspace Π to K containing [x,y]Mn
according to Lemma 4.6.
It follows that Π is a supporting (n−1)-dimensional subspace to σHK, and in turn
to τH(K), proving (8) in this case.
On the other hand, if [x,y]Mn∩intMnK=∅, then let ℓ⊂Mn be the one-dimensional subspace of x and y, and hence
ℓ∩K=[x,y]Mn by Lemma 4.6. As x∈∂MnσH(K),
we deduce from Lemma 5.1 (i) and (ii) that
ℓ∩τH(K)=[x,y]Mn, and in turn (8) finally follows.
Since x∈∂MnτH(K), there exists a supporting (n−1)-dimensional subspace
Ξ to τH(K) at x, and let τH(K)⊂Ξ+. We deduce from Lemma 5.1 (i) that σH(K),K⊂Ξ+, thus σH(Ξ) is a supporting (n−1)-dimensional subspace
to K at y with K⊂σH(Ξ+). As x and y are strongly regular points, we conclude
(7) by Lemma 4.6.
In turn, we deduce from (7) that
for any pair x,y∈∂MnK, x=y, of strongly regular points, there exists
λ(x,y)∈R such that
[TABLE]
Obviously, λ(x,y)=λ(y,x).
We fix a strongly regular point x0∈∂MnK. We claim that if x,y∈∂MnK are strongly regular points different from x0, then
[TABLE]
We distiguishing two cases. If x0,x,y are not contained in a one-dimensional subspace, then (9)
yields that
[TABLE]
Adding up the three relations yields
λ(x0,x)(x0−x)+λ(x,y)(x−y)+λ(y,x0)(y−x0)=o.
Since any two of x0−x,x−y,y−x0 are independent in Rn+1, we have
λ(x0,x)=λ(x,y)=λ(y,x0), and hence (10) holds in this case.
On the other hand, if x0,x,y are contained in a one-dimensional subspace, then
as strongly regular points are dense in ∂MnK, there exists a strongly regular point z∈∂MnK not contained in the one-dimensional subspace passing through x0,x,y. Applying the previous case
first to the triple x0,x,z, then to the triple x0,y,z,
it follows that λ(x0,x)=λ(x0,z)=λ(x0,y), proving (10).
According to (10), there exists a common value λ of λ(x0,x)
for all strongly regular points x∈∂MnK. Setting
p=NK(x0)−λx0∈Rn+1, we deduce from (9) that
[TABLE]
The rest of the argument is split between the hyperbolic- and spherical case.
If x∈∂HnK is a strongly regular point, then NK(x)∈Tx, thus (11) yields that
0=B(NK(x),x)=B(p+λx,x), and hence
B(p,x)=−λ. As p=o, we deduce that each strongly regular point
of ∂HnK is contained in the standard hypersurface
{x∈Hn:B(p,x)=−λ}
(see the list before Lemma 2.2), therefore
Corollary 2.3 yields that K is a ball.
If x∈∂SnK is a strongly regular point, then NK(x)∈Tx, thus (11) yields that
0=⟨NK(x),x⟩=⟨p+λx,x⟩, and hence
⟨p,x⟩=−λ. As p=o, we deduce that each strongly regular point
of ∂SnK is contained in the boundary
{x∈Sn:⟨p,x⟩=−λ} of a fixed spherical ball
(see the list before Lemma 2.2), therefore
Corollary 2.3 yields that K is a spherical ball.
∎
**Remark: ** In Rn, a similar argument works, but some changes have to be instituted.
Instead of (7), we have NK(x)=σH(NK(y)) where
H is the linear (n−1)-plane in Rn parallel to H, therefore
(9) still holds. Similarly as above, (9) leads to (11).
For the final part of the argument, we have λ=0, because otherwise
(11) yields that NK(x)=p for any strongly regular point x∈∂RnK, contradicting that the strongly regular
points are dense in x∈∂RnK. As (11) implies that
if x∈∂RnK is a strongly regular point, then
[TABLE]
and hence each strongly regular point
of ∂RnK is contained in the boundary
{x∈Rn:⟨x+λ−1p,x+λ−1p⟩=λ−2} of a fixed ball.
Therefore
Corollary 2.3 yields that K is a ball.
**Proof of Theorem 1.2 when D≤2π and
of Theorem 1.1 **
Let Mn=Hn, or let Mn=Sn and D≤2π.
Theorem 3.4 (i) yields the existence of D-maximal sets in Mn,
and any D-maximal set is convex according to Corollary 4.4.
Let C be any D-maximal set, and hence C is convex. We deduce from
from Lemma 5.1 that for any (n−1)-dimensional subspace H of
Mn, τH(C)
is D-maximal, thus convex, therefore Theorem 5.2 yields that C is a ball. The maximality of V(C) implies that the radius of C is D/2, proving Theorem 1.2 when D≤π/2 and also
Theorem 1.1. □
**Remark: ** In Rn, (1) can proved in a similar way.
Let 2π<D<π. We frequently drop the index “Sn” in the formulas, say we simply write B(x,r), V(X) and
∂X for x∈Sn, X⊂Sn and r∈(0,π).
Let us recall from Section 3 that C⊂Sn is D-maximal if
•
C is compact;
•
diamSnC≤D;
•
V(C)=sup{V(X):X⊂Sn\mboxcompactanddiamSnX≤D}.
According to Theorem 3.4 (i), there exist D-maximal sets in Sn.
We deduce from Lemma 5.1 that if C⊂Sn is D-maximal, then
[TABLE]
As D>2π, it is a priori not clear whether a D-maximal set is convex. However,
Theorem 3.4 (ii) implies that for
any D-maximal set C in Sn and z∈∂C,
there exists y∈C such that
[TABLE]
Lemma 6.1**.**
If 2π<D<π and C is a D-maximal set in Sn, then there exists a solid D-maximal set
C0⊂C.
Proof.
Let X⊂C be the set of density points; namely,
[TABLE]
thus readily intC⊂X. It follows from Lebesgue’s Density Theorem that
[TABLE]
In addition, if z∈∂C, then (15) yields that z∈X, and hence
X=intC. We conclude that C0 can be taken as the closure of X.
∎
The idea of the proof of
Theorem 1.2 when 2π<D<π is similar to the case D≤2π; more precisely,
the idea is to prove that
if 2π<D<π and C⊂Sn is a solid D-maximal set, then there exist p∈Rn+1 and λ∈R such that
[TABLE]
Thus from now on, the main goal is to understand properties of solid D-maximal sets. We use two-point symmetrization again. The difficulty in the D>2π case is that
if x,y∈∂C, x=y, are strongly regular points of a solid D-maximal set C in Sn,
and H is the perpendicular bisector of [x,y]Sn, then
a priorix may lie in intτHC.
Lemma 6.2**.**
Let 2π<D<π, and let C be a solid D-maximal set in Sn.
If x,y∈∂C, x=y, are strongly regular points, then
there exist
λ(x,y)∈R and η(x,y)∈{−1,1} such that
[TABLE]
where η(y,x)=η(x,y) and λ(y,x)=η(x,y)λ(x,y).
Proof.
It is equivalent to prove that
[TABLE]
where H is the perpendicular bisector (n−1)-dimensional subspace of [x,y]Sn. In turn,
(18) is equivalent proving that if we assume
[TABLE]
then we have
[TABLE]
Let x∈H+. We deduce from (15) and from the fact that x and y are strongly regular boundary points
that
there exist r>0 and x0,x1,y0,y1∈C such that
[TABLE]
Readily, we have NC(x)=NB(x0,r)(x)=NB(x1,D)(x) and
NC(y)=NB(y0,r)(y)=NB(y1,D)(y).
It follows from (14) that τHC is D-maximal as well.
As x=σHy∈τHC and
[TABLE]
by Lemma 5.1, and
(19) yields that x is a boundary point of B(x1,D)∪σHB(y1,D),
we deduce that
x∈∂τHC. We deduce from
(15) that
τHC⊂B(z,D) and x∈∂B(z,D) for some z∈τHC.
Now x∈B(x0,r)∩σHB(y0,r)∩∂B(z,D) and
[TABLE]
by Lemma 5.1, therefore B(x0,r)=σHB(y0,r). We conclude
(20), and in turn (18), proving Lemma 6.2.
∎
As a first step to prove (16), we consider certain specific triples of strongly regular points.
Lemma 6.3**.**
Let 2π<D<π, and let C be a solid D-maximal set in Sn.
If x0,x,y∈∂C are strongly regular points not contained in a one-dimensional subspace of Sn
such that η(x0,y)=1 and η(x0,x)=η(y,x), then for λ=λ(y,x0)=λ(x0,y), we have
λ(x0,x)=λ and
Since η∈{−1,1}, we replace the first equality by ηNC(x)−NC(y)=ηλ(x,y)(x−y)
and add up these three relations, and hence we obtain
[TABLE]
Since any two of x0−x,x−y,y−x0 are independent in Rn+1, we have
ηλ(x,y)=λ(x0,x)=λ(y,x0) where λ(y,x0)=λ.
We deduce that
NC(x0)−ηNC(x)=λ(x0−x), proving Lemma 6.3.
∎
Let us show that we have the setup in Lemma 6.3 if x and y are close enough strongly regular boundary points.
Lemma 6.4**.**
Let 2π<D<π, and let C be a solid D-maximal set in Sn, and let x0∈∂C be a strongly regular point.
**(i): **
If limm→∞ym=x0 for ym∈∂C strongly regular boundary points, then
[TABLE]
**(ii): **
For any strongly regular point z∈∂C, z=x0, there exists ϱ∈(0,2π) depending on x0,z and C such that
η(x0,y)=1 and η(x0,z)=η(y,z) if
y∈B(x0,ϱ)∩∂C is a strongly regular point with y=x0.
Proof.
There exist some r∈(0,2π) and z0,z1∈C such that
B(z0,r)⊂C⊂B(z1,D) and x0∈∂B(z0,r)∩∂B(z1,D)
according to Theorem 3.4 (ii).
For (i), there exist some wm∈C with C⊂B(wm,D) and ym∈∂B(wm,D), and we may assume that B(wm,D) tends to some B(w,D) for w∈C. As B(z0,r)⊂B(w,D) and
x0∈∂B(z0,r)∩∂B(w,D), we have w=z1. This yields that
limm→∞NC(ym)=NC(x0). In addition,
limm→∞⟨NC(x0),dRn+1(ym,x0)ym−x0⟩=0 follows from
limm→∞ym=x0 and ym∈B(z1,D)\intB(z0,r).
We prove (ii) by contradiction, and we assume that there exists a sequence of
strongly regular boundary points ym∈∂C such that limm→∞ym=x0, and
**(a): **
either NC(x0)+NC(ym)=λ(x0,ym)(x0−ym) for each m,
**(b): **
or NC(z)+η(z,x0)NC(ym)=λ(z,ym)(z−ym) for each m.
If (a) holds, then readily ∣λ(x0,ym)∣≤2/dRn+1(x0,ym), thus
(i) yields that
[TABLE]
what is absurd.
If (b) holds, then as z−x0 and NC(x0)∈Tx0 are independent, there exists some
u∈Sn−1 such that ⟨u,z−x0⟩=0 and ⟨u,NC(x0)⟩>0. We also observe that
if m is large, then
∣λ(z,ym)∣≤3/dRn+1(z,x0).
We deduce from limm→∞NC(ym)=NC(x0) that
[TABLE]
what is again a contradiction, proving (ii).
∎
Now we choose the right strongly regular “base point” x0.
Lemma 6.5**.**
Let 2π<D<π, and let C be a solid D-maximal set in Sn. There exists
a strongly regular point x0∈∂C such that for any
one-dimensional subspace ℓ of Sn passing through x0 and any ε∈(0,2π),
one finds a strongly regular point y∈∂C∩(B(x0,ε)\ℓ).
Proof.
First let n≥3, let x0∈∂C be any strongly regular point, and let ε∈(0,2π).
As C is solid, there exist
[TABLE]
Since intB(x0,ε)\ℓ is connected (this is the point where we use that n≥3), connecting y and z by
a continuous curve in intB(x0,ε)\ℓ implies that there exists a
w∈∂C∩[intB(x0,ε)\ℓ]. It follows from the fact
that strongly regular points in ∂C are dense that there exists
a strongly regular point w~∈∂C∩[intB(x0,ε)\ℓ].
Next let n=2. In this case, the argument is indirect. Since strongly regular points are dense on the boundary,
we suppose that for any strongly regular point w∈∂C, there exist a one-dimensional subspace ℓw
pasing through w
and an rw∈(0,2π) such that
[TABLE]
and seek a contradiction. As C is solid, there exist
[TABLE]
For any x∈B(w,rw)∩ℓw, the piecewise linear path [y,x]Sn∪[x,z]Sn
intersects ∂C, and the intersection can be only x by (21). Therefore
[TABLE]
It also follows that one component of intB(w,rw)\ℓw is part of intC and
the other component is disjoint from C,
and hence any x∈ℓw∩intB(z,rw) is a strongly regular boundary point with
[TABLE]
Let us choose a strongly regular point w∈∂C and an other strongly regular point
v∈∂C\ℓw. It follows that ℓv=ℓw.
We deduce from Lemma 6.4 (ii) and (23) that
there exists a y∈lw∩∂C with y=w and η∈{−1,1} such that
[TABLE]
On the one hand, we deduce from
from NC(y)=NC(w) that λ(w,y)=λ(y,w)=0 in Lemma 6.2, therefore Lemma 6.3 yields that ηNC(v)=NC(w).
However ℓv=ℓw and (23) imply
NC(v)=±NC(w) in Rn+1, thus we have arrived at a contradiction,
verifying Lemma 6.5 also if n=2.
∎
**Proof of Theorem 1.2 when 2π<D<π: **
Let C be any D-maximal set, and let C0⊂C be the solid D-maximal set provided by
Lemma 6.1. According to Lemma 6.5, there exists
a strongly regular point x0∈∂C0 such that for any
one-dimensional subspace ℓ passing through x0 and any ε∈(0,2π),
one finds a strongly regular point y∈∂C∩(B(x0,ε)\ℓ).
We deduce from Lemma 6.4 (ii)
that there exists r~∈(0,2π) depending on x0 and C
such that
η(x0,y)=1 for any strongly regular point
y∈B(x0,r~)∩∂C with y=x0. We claim that there exist
r∈(0,r~) and
λ∈R such that
[TABLE]
Readily, η(x0,y)=1 by r<r~. To have the right value of λ(x0,y),
first we fix a strongly regular point
y0∈B(x0,r~)∩∂C with y0=x0, and write ℓ0 to denote
the one-dimensional subspace spanned by x0 and y0. Set
[TABLE]
Lemma 6.3 and Lemma 6.4 (ii) applied to the triple x0,y,y0 imply the existence of an r0∈(0,r~)
such that λ(x0,y)=λ holds for any strongly regular point
y∈∂C∩(B(x0,r0)\ℓ0).
We fix such a strongly regular point
y1∈∂C∩(B(x0,r0)\ℓ0), and write ℓ1 to denote
the one-dimensional subspace spanned by x0 and y1. In particular,
ℓ0=ℓ1.
Finally,
applying Lemma 6.3 and Lemma 6.4 (ii)
to the triple x0,y,y1, there exists
r∈(0,r0)
such that λ(x0,y)=λ holds for any strongly regular point
y∈∂C∩(B(x0,r)\ℓ1). Since
either y∈ℓ0 or y∈ℓ1 hold for any point
y∈∂C∩(B(x0,r)\x0), we conlcude (24).
Our next goal is to verify that p=NC(x0)−λx0 satisfies that
if x∈∂C is a strongly regular point, then
[TABLE]
where we set η(x0,x0)=1. Writing ℓ to denote the one-dimensional subspace
passing through x0 and x, the choice of x0 and Lemma 6.4 (ii)
yield the existence of a strongly regular point y∈∂C∩(B(x0,r)\ℓ)
such that η(x0,y)=1 and η(x0,x)=η(y,x).
Therefore we conclude (25) by Lemma 6.3.
If x∈∂C is a strongly regular point, then NK(x)∈Tx, thus (25) yields that
0=⟨η(x0,x)NC0(x),x⟩=⟨p+λx,x⟩, and hence
⟨p,x⟩=−λ. As p=o, we deduce that each strongly regular point
of ∂C0 is contained in the boundary
{x∈Sn:⟨p,x⟩=−λ} of a fixed spherical ball, therefore
Corollary 2.3 yields that C0 is a spherical ball.
As C0 has maximal volume among sets of diameter at most D,
it follows that the radius of C0 is D/2, say C0=B(z,D/2).
Finally, we show that C=B(z,D/2). To prove this, let x∈Sn\B(z,D/2), and
let ℓ be the (or a) one-dimensional subspace of Sn passing through x and x0. As ℓ intersects
B(z,D/2) in an arc of length D, this arc contains a point y with dSn(x,y)>D. Therefore
x∈C, completing the proof of Theorem 1.2 when D>π/2. □
**Acknowledgement: ** We are grateful for the careful referee whose remarks have substantially improved the paper.
Károly J. Böröczky is supported by NKFIH projects ANN 121649, K 109789,
K 116451 and KH 129630.
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