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Ferenc Fodor*, Árpád Kurusa and Viktor Vígh

Inequalities for hyperconvex sets

Abstract:Anr-hyperconvex body is a set in thed-dimensional Euclidean space𝔼dthat is the intersection of a family of closed balls of radiusr. We prove the analogue of the classical Blaschke–Santaló inequality for r-hyperconvex bodies, and we also establish a stability version of it. The other main result of the paper is an r-hyperconvex version of the reverse isoperimetric inequality in the plane.

Keywords:Blaschke–Santaló inequality, hyperconvex sets, reverse isoperimetric problem, volume product.

2010 Mathematics Subject Classification:Primary 52A40; Secondary 52A20, 52A10, 52A01

DOI: 10.1515/advgeom-2016-0013. Received 24 September, 2014; revised 17 December, 2014

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Communicated by:M. Henk

1 Introduction and results

The concept of hyperconvexity may be considered as a generalization of the notion of convexity. Letr>0 be fixed, and letx,ybe points in thed-dimensional Euclidean space𝔼d. The closedr-spindle[x,y]rspanned by xandyis defined as the intersection of all closed balls of radiusrthat contain bothxandy, cf. for example [5, Definition 2.1 on page 203]. If the distance ofxandyis larger than 2r, then[x,y]r = 𝔼d. A setH ⊆ 𝔼d is calledr-hyperconvex if it contains[x,y]rfor every pair of pointsx,yH. For instance, convex bodies of constant widthrare prominent examples ofr-hyperconvex sets, cf. [8; 13].

In his 1935 paper, Mayer [21] introduced the term ‘Überkonvexität’ for this type of convexity in the plane.

Following the early literature of the subject, we decided to use the English translation of Mayer’s term. How- ever, we note that other expressions such as ‘spindle convex’ and ‘r-convex’ have also been used for these sets.

Recently, there has been much renewed interest inr-hyperconvex sets. For details on properties ofr- hyperconvex sets, further references and a history of the subject we refer, for example, to Bezdek et al. [5], Bezdek [2; 4], Fejes Tóth and Fodor [14], Lángi et al. [18], and Kupitz et al. [17].

It is a characteristic property of closed convex sets that they are intersections of closed half-spaces. It is known (see e.g. [5, Corollary 3.5 on page 205]) that closedr-hyperconvex sets can be represented as intersec- tions of closed balls of radiusr. We use this important property ofr-hyperconvex sets throughout the paper.

With a slight abuse of notation, if one considers closed balls of radius∞as closed half-spaces of𝔼d, then the closed∞-convex sets are exactly the closed convex sets of𝔼d. However, we exclude∞from the possible values ofrin this paper. Occasionally, we will refer to the classical notion of convexity aslinear convexityin the text when we want to emphasize its difference from hyperconvexity.

Note that the only unboundedr-hyperconvex set is the whole space𝔼d, and the onlyr-hyperconvex sets with no interior points are the one-point sets. We restrict our attention to compactr-hyperconvex sets, which we callr-hyperconvex bodies. For technical reasons, the one-point sets are also considered asr-hyperconvex bodies. We use the termr-hyperconvex disc for a 2-dimensionalr-hyperconvex body.

We denote the Euclidean scalar product in𝔼dby⟨⋅,⋅⟩, the (Euclidean) distance of two pointsx,y∈ 𝔼d byd(x,y), thed-dimensional volume (Lebesgue measure) of a compact setH ⊂ 𝔼dby vol(H). In the case thatd =2, we also use the notation area(H)for the area of the compact setHin𝔼2. Let thed-dimensional

*Corresponding author: Ferenc Fodor:Department of Geometry, Bolyai Institute, University of Szeged, Aradi vértanúk tere 1, 6720 Szeged, Hungary, and Department of Mathematics and Statistics, University of Calgary, Canada,

email: fodorf@math.u-szeged.hu

Árpád Kurusa, Viktor Vígh:Department of Geometry, Bolyai Institute, University of Szeged, Aradi vértanúk tere 1, 6720 Szeged, Hungary, email: kurusa@math.u-szeged.hu, vigvik@math.u-szeged.hu

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closed unit ball centred at the originobe denoted byBd, its boundary by bdBd = Sd−1, andκd =vol(Bd). The interior of a setAis denoted by intA.

The notion of polar duality plays an essential role in the theory of convex bodies. LetK⊂ 𝔼dbe a convex body withz∈intK. The polar ofKwith respect tozis defined as

Kz= {x∈ 𝔼d:⟨xz,yz⟩ ≤1 for allyK}.

It is clear thatKzis also a convex body withz∈intKz, and(Kz)z=K. The latter explains the use of the term

‘duality’. For basic properties of polar duality we refer to [25, Section 1.6]. Clearly,Kzdepends on the position ofz∈intK.

Santaló proved in [24] that for every convex bodyK, there exists a unique points ∈ intK such that vol(Ks) ≤ vol(Kz)for allz ∈ intK. This unique pointsis called the Santaló point ofK. For a convex body K, the quantity vol(K)vol(Ks)is usually called the volume product ofK. The Blaschke–Santaló inequality (see Blaschke [7], Santaló [24], Saint-Raymond [23], Petty [22])

vol(K)vol(Ks) ≤κ2d

provides the sharp upper boundκ2don the volume product for any convex bodyKin𝔼d. Equality holds in the Blaschke–Santaló inequality if and only ifKis an ellipsoid. On the other hand, it was conjectured by Mahler [20] that the minimum of the volume product is reached by simplices among general convex bodies and by cubes among centrally symmetric convex bodies. Although there are some important partial results in this direction, Mahler’s conjecture in its full generality is still unproven. For a discussion and further references on the history of the Blaschke–Santaló inequality and the Mahler conjecture, we refer to the survey paper by Lutwak [19] and to the paper by Böröczky [9].

Recently, Böröczky [9] established a stability version of the Blaschke–Santaló inequality. Note that the volume product of a convex body is invariant with respect to nonsingular affine transformations. Thus it is natural to measure the distance of two convex bodies by the Banach–Mazur distance when dealing with the volume product. Let GL(d)denote the group of nonsingular linear transformations ofℝd. The Banach–Mazur distance of two convex bodiesK1,K2⊂ 𝔼dis defined as

δBM(K1,K2) =min{λ≥1 :K1xM(K2y) ⊆λ(K1x)forM∈GL(d),x,y∈ 𝔼d}.

Theorem(Böröczky [9], Theorem 1.1). If K is a convex body in𝔼d, d≥3, andsis the Santaló point of K, and vol(K)vol(Ks) > (1−ε)κ2d

for ε∈ (0, 1/2), then for some constant𝛾0, depending only on the dimension d, it holds that δBM(K,Bd) <1+𝛾0ε6d1|logε|16.

A notion similar to the polar duality of convex sets can be introduced forr-hyperconvex sets following Kupitz et al. [17] and M. Bezdek [6]: ther-hyperconvex dualHrof a setH ⊆ 𝔼d consists of the centres of those closed balls of radiusrthat containH. In Section 2 we have collected a number of simple properties of r-hyperconvex duality.

LetS⊂ 𝔼dbe anr-hyperconvex body. Note that the dualSrdoes not depend on the choice of the coordi- nate system. We define ther-hyperconvex volume product ofSas

P(S):=vol(S)vol(Sr), (1) and observe immediately that

P(r

2Bd) =vol2(r

2Bd). (2)

AsP(rBd) = 0, there is no interestingr-hyperconvex version of the Mahler conjecture. However, ther- hyperconvex version of the Blaschke–Santaló inequality can be formulated in the following way.

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Theorem 1.1. If S⊂ 𝔼dis an r-hyperconvex body, then P(S) ≤P(r

2Bd). (3)

Equality holds if and only if S=r/2⋅Bd+zfor somez∈ 𝔼d.

We establish also a stability version of inequality (3) as follows.

Theorem 1.2. Let r>0, then there exist constants cd,r >0and εd,r∈ (0,12)depending only on d and r, and a monotonically decreasing positive real function µ(ε)with µ(ε) →0as ε→0such that an r-hyperconvex body S⊂ 𝔼dsatisfies

P(S) ≥ (1−ε)P(r

2Bd) (4)

for some ε∈ [0,εd,r]if and only if there exists a vectorz∈ 𝔼dsuch that δH(S, r

2Bd+z) ≤cd,rµ(ε), where δH( ⋅ , ⋅ )denotes the Hausdorff distance of compact sets.

In Section 4 we prove anr-hyperconvex analogue of the reverse isoperimetric inequality of Ball [1] in the plane. Ther-hyperconvex analogue of the reverse isoperimetric problem in the plane is concerned with finding ther-hyperconvex discs of a given perimeter that minimize the area. To the best of our knowledge, this problem was raised by K. Bezdek [3] who communicated it to one of the authors in 2010. K. Bezdek [3]

conjectured that amongr-hyperconvex bodies of a given surface area, ther-spindle is the unique body that has minimal volume. In our next result, we verify this conjecture in the plane.

Theorem 1.3. The r-spindle has minimal area among r-hyperconvex discs of equal perimeter.

Theorem 1.3 is proved in Section 4. We note that our argument does not yield that ther-spindle is the only minimal arear-hyperconvex disc among ther-hyperconvex discs of equal perimeter. Since the unique minimizer of the area is not known, we could not formulate a precise stability statement for ther-hyperconvex reverse isoperimetric problem. However, we have proved with a long and delicate calculation that if the area of anr-hyperconvex triangle is sufficiently close to anr-spindle of the same perimeter, then it is also close to anr-spindle in the Hausdorff metric. Since it is only a partial result, this proof is not included in this paper.

However, based on this fact, we formulate the following even stronger conjecture.

Conjecture. If the volume of an r-hyperconvex body S is sufficiently close to that of an r-spindle S󸀠of the same surface area, then S is close to S󸀠in the Hausdorff metric of compact sets.

2 Some general properties of r-hyperconvex duality

It follows from the definition that the intersection ofr-hyperconvex sets is r-hyperconvex. LetS be an r- hyperconvex body, letx ∈ bdSand letuSd−1be an outer unit normal vector toSatx. It is known that SrBd+xru(see e.g. [5, Corollary 3.4 on page 204]), and we say that the ballrBd+xrusupportsS atx(see [5, Definition 3.3 on page 205]). The following definition appears in several papers in some form, for example in [5], [6] and [17].

LetH⊆ 𝔼dbe a point set. We definethe r-hyperconvex dual HrofHas

Hr= {y∈ 𝔼d|HrBd+y}. (5)

Reformulating this asHr= {y∈ 𝔼d|d(x,y) ≤rfor everyxH}yields for any setH⊆ 𝔼dthat

Hr= ⋂x∈H(rBd+x). (6)

It is immediate from (6) that for any setHthe dualHris always anr-hyperconvex body (or it is empty).

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In the following theorem we summarize certain basic properties ofr-hyperconvex duality. We note that Parts (i)–(v) are known (see e.g. [5], [6], [17]). These properties (especially the first one) justify the use of the word ‘dual’ in view of the corresponding properties of classical polar duality of (linearly) convex bodies;

compare Theorems 1.6.1 and 1.6.2 on pages 33–34 in [25]. For a setH⊆ 𝔼d, let convrHdenote ther-hyperconvex hull ofH, which is defined as the intersection of allr-hyperconvex sets that containH.

Theorem 2.1. For arbitrary sets H,H1,H2⊆ 𝔼d, and for any r-hyperconvex bodies S,S1and S2in𝔼dwe have the following:

(i) Srr=S,

(ii) H1H2implies H1rH2r, (iii) (H1H2)r=H1rHr2,

(iv) Hr= (convrH)r= (convrH)r, (v) (S1S2)r=convr(Sr1Sr2).

Furthermore, if S1S2is r-hyperconvex, then S1rSr2is also r-hyperconvex.

Proof. Part (i) is seen as follows:Srr = ⋂y∈Sr(rBd+y) = ⋂y:S⊆rBd+y(rBd+y) = S. The proofs of (ii)–(v) are completely analogous to those of the corresponding statements in linear convexity; for details see e.g. [25, Section 1.6].

It remains to prove the last statement of Theorem 2.1. We claim that ifS1S2is r-hyperconvex, then S1rSr2= (S1S2)r. The relationSr1Sr2⊆ (S1S2)ris evident. We need to prove thatSr1S2r ⊇ (S1S2)r. For a setA ⊆ 𝔼d, let Ac denote the complement ofA. Suppose, on the contrary, that there exists a point y∈ (Sr1Sr2)cfor whichy∉ ((S1S2)r)c, and seek a contradiction.

I

x1 x2

o

y

zS1S2

z1 z2

>r >r

r

r r

Figure 1.The plane spanned byy,x1andx2

SinceySr1Sr2, there existx1S1withd(x1,y) >randx2S2withd(x2,y) >r. From the assumption thaty∉ ((S1S2)r)cit follows thatx1S2andx2S1. We may clearly assume that the pointsy,x1and x2are not collinear and thus they span a 2-dimensional affine subspaceL. We representedLin Figure 1 such that the line throughx1andx2is horizontal andyis in the upper half-plane. AsS1S2isr-hyperconvex, so is(S1S2) ∩ L. Thus we may joinx1andx2with a shorter circular arcIof radiusrand centreosuch thaty andIlie in different half-planes ofLdetermined by the line throughx1andx2, as shown in Figure 1.

By continuity, there exists a pointzS1S2on the arcIwithd(y,z) ≤r. Furthermore, there is a point z1on the the arc betweenx1andzwithd(y,z1) =r, and there is another pointz2on the arc betweenzand x2such thatd(y,z2) =r. (Note thatz1orz2(or both) may coincide withz.) Since it is assumed thatyandI

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are in different half-planes ofLdetermined by the line throughx1andx2, the pointyhas to coincide witho,

which is a contradiction. This finishes the proof of Theorem 1. 2

The support function of a nonempty closed convex setK ⊂ 𝔼dis defined ashK(x) := supy∈Kx,y⟩for x∈ 𝔼d. For basic properties of the support function we refer to [25, Section 1.7].

Note that a supporting hyperplane of anr-hyperconvex bodyShas exactly one contact point withS. For uSd−1, letx(u)denote the unique point of bdSat whichuis an outer unit normal vector. In the case that Sis of constant width,x(u)andx(−u)are called opposite points in the literature [8, page 135].

LetrBd+ybe a supporting ball ofSatx(u). Then, by definition,ySrand (6) implies thatSrrBd+x.

This fact can be summarized in the following well-known statement (see e.g. [8, Section 63]).

Proposition 2.2. For anyuSd−1and any r-hyperconvex body S, we have hS(u) +hSr(−u) =r.

Proposition 2.2 has a useful consequence, namely that

S+ (−Sr) =rBd+x (7)

for somex∈ 𝔼d.

We note that (7) shows that ifSis anr-hyperconvex body, then it is a Minkowski summand of the ballrBd. In fact, using Theorem 3.2.2 in [25] one obtains that for a convex bodySthe following are equivalent: (i)Sis anr-hyperconvex body, (ii)Sis a Minkowski summand ofrBd, (iii)Sslides freely inrBd(cf. page 143 in [25]).

For more information on Minkowski summands of convex bodies we refer to Sections 3.1 and 3.2 of [25].

If for a setHit holds thatH=Hr, then we say thatHis self-dual with radiusr. A self-dualr-hyperconvex bodyS⊂ 𝔼dwith radiusris equal to the intersection of all closed balls of radiusrwhose centre is contained inS. Eggleston [13] called this thespherical intersection propertyofS. He proved in [13] that a convex body has constant widthrif and only if it has the spherical intersection property, that is, it is self-dual with radiusr.

We state a somewhat similar result that is a direct consequence of Proposition 2.2.

Lemma 2.3. Let S be an r-hyperconvex body and ε≥0. If δH(S,Sr+y) ≤ε for somey∈ 𝔼d, then δH(S, r

2Bd+z) ≤ ε 2 for somez∈ 𝔼d.

Proof. From (7) we havehS(u) +h−Sr(u) = r+ ⟨u,x⟩for somex, and by [25, Theorem 1.8.11] we know that δH(S,Sr+y) =supu∈Sd−1|hS(u) −h−Sr+y(u)|. Thus the condition of the lemma implies

󵄨󵄨󵄨󵄨󵄨󵄨hS(u) − (r

2+ ⟨u,x+y 2 ⟩)󵄨󵄨󵄨󵄨󵄨󵄨 ≤ ε

2

for everyuSd−1, which proves the lemma withz= (x+y)/2. 2

The quermassintegralsWi(⋅)withi=0, . . . ,dare important geometric quantities associated with convex bodies; for the precise definition and basic properties of quermassintegrals see e.g. [25, Section 4.2]. Even though we will not need them in the proof of Theorems 1.1, 1.2 and 1.3, we note that combining Proposition 2.2 with a result of Chakerian [10] (see also [11, Formula (6.7) on page 66]) one can express the quermassintegrals Wi(Sr)withi=0, . . . ,dofSrin terms of those of ther-hyperconvex bodySas follows:

Wi(Sr) =

d−i

j=0

(−1)j(di

j )Wd−j(S)rd−i−j.

LetK ⊂ 𝔼dbe a convex body withC2boundary and strictly positive Gaussian curvature. Letr1(K,u) ≤ r2(K,u) ≤ ⋅ ⋅ ⋅ ≤rd−1(K,u)denote the principal radii of curvature of bdKatx. In the case thatKis of constant widthw, it is known (see [8, page 136]) that fori=1, 2, . . . ,d−1 it holds that

ri(K,u) +rd−i(K,u) =w.

Using Proposition 2.2, one can obtain a similar formula forr-hyperconvex bodies as follows:

ri(S,u) +rd−i(Sr,−u) =r.

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3 Proofs of Theorem 1.1 and Theorem 1.2

For the proof we need the classical Brunn–Minkowski inequality that states that ifC,D ⊂ 𝔼dare compact convex sets, then

vol1/d(C+D) ≥vol1/d(C) +vol1/d(D).

IfCandDare both proper (full-dimensional), then equality holds if and only ifCandDare (positive) homo- thetic copies; see [25, Theorem 6.1.1, page 309].

Proof of Theorem1.1. Using Proposition 2.2 one obtains vol(rBd) = vol(S+ (−Sr)), from which the Brunn–

Minkowski inequality and the inequality between the arithmetic and geometric means yield

vol1/d(rBd) =vol1/d(S+ (−Sr)) ≥vol1/d(S) +vol1/d(−Sr) ≥2√vol1/d(S) ⋅vol1/d(−Sr). (8) This implies that vol2(rBd) ≥ 22dvol(S) ⋅vol(Sr), henceP(2rBd) ≥ P(S). In this argument equality holds if and only ifSand−Srare positive homothetic copies of each other having the same volume vol(r/2⋅Bd). This means thatSand−Srare congruent, and hence Lemma 2.3 yields withε = 0 thatS = r/2⋅Bd+xfor some

x∈ 𝔼d. 2

For the proof of Theorem 1.2 we need the following stronger version of the inequality between the arith- metic and geometric means (only for two terms). Letabbe two positive numbers and writeλ= a/b−1.

Then

a+b

2 ≥ √ab+ 2

32 if 0≤λ≤8, and (9)

a+b 2 ≥ a

2 = a 3+ a

6 = √aa 9+ a

6 ≥ √ab+ a

6 if 8≤λ. (10)

Inequality (9) can be verified by a straightforward direct calculation which we leave to the reader.

In order to prove Theorem 1.2, we use the stability version of the Brunn–Minkowski inequality proved by Groemer [15, Theorem 3 on page 367]; see also [16, pages 134–135]. We do not state Groemer’s theorem in its most general form, we only formulate the following consequence of it which we use in our proof.

LetK1andK2be proper convex bodies in𝔼dand letϱ>0 be a real number with diam(Ki) ≤ϱvol1/d(Ki) fori=1, 2, where diam( ⋅ )denotes the diameter of a set. LetMdenote the maximum andmthe minimum of vol1/d(K1)and vol1/d(K2). Furthermore, letK󸀠1andK󸀠2be homothetic copies ofK1andK2, respectively, that share the same centroid and have unit volume. Then it holds that

vol1/d(K1+K2 2 ) ≥ 1

2vol1/d(K1) +1

2vol1/d(K2) +ωδd+1H (K󸀠1,K󸀠2), (11) where

ω= m

2d+2(d(3+2−13) 31/d (2M

m +2)ϱ)

−d−1

. (12)

Proof of Theorem1.2. Since the ‘if’ part of the statement is evident, we only prove the ‘only if’ part. Without loss of generality, we may assume that vol(S) ≥vol(Sr). Then using (2) we obtain from (4) and (3) that

vol(S) ≥ √P(S) ≥ (1−ε)vol(r

2Bd), (13)

vol(Sr) ≤ √P(S) ≤vol(r

2Bd). (14)

Leta=vol1/d(S)andb=vol1/d(Sr) =vol1/d(−Sr).

Assume thatλ≥8. Similarly as before, inequality (10) yields vol1/d(r

2Bd) = vol1/d(rBd)

2 = vol1/d(S+ (−Sr))

2 ≥ vol1/d(S) +vol1/d(−Sr) 2

≥ √ab+ a

6 ≥ √(P(S))1/d+ vol1/d(S)

6 .

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Raising both sides to the power 2d, then using (2) and (4), we obtain P(r

2Bd) ≥P(S) +vol2(S)

62d ≥ (1−ε)P(r

2Bd) +vol2(S) 62d , which can be reformulated by (2) and (13) as

62dε≥ vol2(S)

P(2rBd) ≥ (1−ε)2.

Therefore there is anεd,r∈ (0, 1/2)such that the above inequality cannot hold for anyε∈ (0,εd,r). From now on we assume thatε∈ (0,εd,r), whence we haveλ∈ (0, 8).

First we show that the volume ofSris close to that ofS. From the condition onλwe getba/9, thus vol(Sr) =bdad

9d ≥ 1−ε 9d vol(r

2Bd). Inequality (9) yields that

vol1/d(r

2Bd) = vol1/d(rBd)

2 = vol1/d(S+ (−Sr))

2 ≥ vol1/d(S) +vol1/d(−Sr) 2

≥ √ab+ 2

32 ≥ √(P(S))1/d+(1−ε)1/d

9 ⋅

vol1/d(2rBd)λ2

32 .

Raising both sides to the power 2dwe obtainP(2rBd) −P(S) ≥𝛾1λ4d, where𝛾1is a strictly positive constant depending only ondandr. Thus according to (4) we have

εP(r

2Bd) ≥P(r

2Bd) −P(S) ≥𝛾1λ4d.

SinceP(2rBd)is bounded from above, we getλ≤ 𝛾2ε1/4d, where𝛾2is a constant depending ondandr. As +b=a, this gives

vol1/d(S) −vol1/d(Sr) ≤𝛾3ε1/4d. (15) for some positive constant𝛾3that depends ondandronly.

Equations (13) and (14) with (15) give vol1/d(S) −vol1/d(r

2Bd) ≤vol1/d(S) −vol1/d(Sr) ≤𝛾3ε1/4d and vol1/d(r

2Bd) −vol1/d(S) ≤ε1/dvol1/d(r

2Bd) ≤ε1/4dvol1/d(r 2Bd).

Thus, using (15), we can choose a positive constant𝛾4that depends only ondandrand satisfies max{󵄨󵄨󵄨󵄨󵄨󵄨vol1/d(S) −vol1/d(r

2Bd)󵄨󵄨󵄨󵄨󵄨󵄨,󵄨󵄨󵄨󵄨󵄨󵄨vol1/d(Sr) −vol1/d(r

2Bd)󵄨󵄨󵄨󵄨󵄨󵄨} ≤𝛾4ε1/4d. (16) Having established (16), now we are ready to complete the proof using (11). LetŜand− ̂Srbe (positive) homo- thetic copies ofSand−Sr, respectively, that share a common centroid and have unit volume. Applying (11) to Sand−Sr, we get

vol1/d(r

2Bd) ≥ 1

2vol1/d(S) +1

2vol1/d(−Sr) +ωδd+1H ( ̂S,− ̂Sr), whereωis defined in (12).

Inequality (16) implies that there existsv0 >0 with the property that vol(−Sr) ≥v0for allSthat satisfy the conditions of Theorem 1.2. Thusmis bounded away from 0, andM/mis bounded from above (as usual, the constants depend onrandd). Moreover, there exists aρ > 0 withϱ < ρfor everySthat satisfies the conditions of Theorem 1.2. Thus, it follows from (12) that there exists anω0>0, that depends only ondand r, such thatω>ω0.

Finally, comparing this to (16) leads to 𝛾4ε1/4d≥vol1/d(r

2Bd) −1

2vol1/d(S) −1

2vol1/d(−Sr) ≥ω0δd+1H ( ̂S,− ̂Sr).

This implies the statement of Theorem 1.2 by Lemma 2.3. 2

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4 Proof of Theorem 1.3

Authors’ note. We note that the following proof of Theorem1.3, and especially the proof of Lemma4.1, is very similar to the one presented in Section 4 of Csikós, Lángi and Naszódi[12]on pages 125–126. We have learned of this similarity only after the manuscript had been accepted for publication.

Clearly, it is sufficient to prove Theorem 1.3 in the case thatr=1. We recall that the intersection of a finite number of closed unit radius circular discs is called a (convex) disc-polygon. The notion of side and vertex are self-explanatory, for more details we refer to [6, Definition 1.1]. First, we prove Theorem 1.3 for disc-triangles.

Letxyzbe a disc-triangle with verticesx,yandz, and with edge-lengths (central angles)α,βand𝛾, and letxyz△be the corresponding Euclidean triangle with verticesx,yandz, and (Euclidean) edge-lengthsa,b andc, as shown in Figure 2. We will show that if one keepsxandyfixed and moveszsuch that the perimeter ofxyzremains constant, then area(xyz)becomes minimal precisely whenxyzdegenerates into a spindle.

We will prove this fact using a combination of elementary geometry and basic calculus. Although the proof does not contain any deep tools, it is quite intricate.

x y z

c

b a

𝛾 β

α

Figure 2.The disc-trianglexyzwith edge-lenghtsα,βand𝛾, whereα+β+𝛾=κis the perimeter.

Denote the perimeter ofxyzbyκ = α+β+𝛾. Letµ = (α+β)/2 = (κ−𝛾)/2, and letξ be such that α=µ+ξandβ=µξ. Clearly, the variableξparametrizes the vertexzand makes area(xyz)a function ofξ. By symmetry, we may assume thatαβ, so it is enough to considerξ ∈ [0,𝛾/2]. Then we have

area(xyz) = α−sinα

2 + β−sinβ

2 +𝛾−sin𝛾

2 +area(xyz△). (17)

For the edges ofxyz△we havea = 2 sinα2,b = 2 sinβ2 andc = 2 sin𝛾2, whence the half perimeter iss =

a+b+c

2 =sinα2+sin2β+sin𝛾2. Heron’s formula yields area(xyz△) = √s(sa)(sb)(sc) = √( −sin2𝛾

2+ (sinα 2+sinβ

2)2)(sin2 𝛾

2− (sinα 2 −sinβ

2)2). Since sinα+sinβ=2 sinµcosξ, sinα2+sin2β =2 sinµ2cosξ2and sinα2−sin2β =2 sinξ2cosµ2, equation (17) and the above formula imply

area(xyz) =µ−sinµcosξ+ 𝛾−sin𝛾

2 +area(xyz△), area(xyz△) = √(4 sin2µ

2cos2 ξ

2−sin2𝛾

2)(sin2𝛾

2 −4 sin2 ξ 2cos2µ

2). (18)

To reduce clutter in the calculations below, we introduce the functions Â(ξ) = area(xyz)and A(ξ) = area(xyz△).

Lemma 4.1. We have dA(ξ)̂ ≤0for0≤ξ <𝛾/2, anddA(ξ)̂ =0if and only if ξ=0.

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Proof. Differentiation ofÂ(ξ)with respect toξyields dÂ(ξ)

=sinµsinξ+ 1

2A(ξ)( −4 sin2µ 2cosξ

2sinξ

2(sin2𝛾

2−4 sin2 ξ 2cos2µ

2)

−4 sinξ 2cosξ

2cos2µ

2(4 sin2µ 2cos2ξ

2−sin2𝛾 2))

=sinµsinξ−sinξ A(ξ)(sin2µ

2(sin2 𝛾

2−4 sin2ξ 2cos2µ

2) +cos2µ

2(4 sin2µ 2cos2ξ

2−sin2 𝛾 2))

=sinµsinξ−sinξ

A(ξ)(sin2µ(cos2 ξ

2−sin2 ξ

2) −sin2𝛾 2(cos2µ

2 −sin2µ 2))

= sinξsinµ

A(ξ) (A(ξ) −sinµcosξ+sin2 𝛾 2cotµ). ThusdA(ξ)̂ ≤0 if and only if

A(ξ) ≤sinµcosξ−sin2 𝛾

2cotµ, (19)

becauseξ∈ [0,𝛾2] ⊆ [0,π2]andµ∈ [0,π).

To verify (19), we first prove that its right-hand side is positive, and then we only have to show that A2(ξ) − (sinµcosξ−sin2𝛾

2cotµ)

2

≤0. (20)

Observe that the right-hand side of (19) is positive if and and only if sin2µcosξ−sin2 𝛾

2cosµ>0.

If cosµ < 0, this is obvious, becauseξ ∈ [0,2𝛾] ⊆ [0,π2]. If cosµ ≥ 0, then using sin2𝛾2−4 sin2µ2cos2ξ2 = s(cs) <0 we obtain that

sin2µcosξ−sin2𝛾

2cosµ>sin2µcosξ−4 sin2 µ 2cos2 ξ

2cosµ=4 sin2µ

2(cos2µ

2cosξ−cos2ξ 2cosµ)

=4 sin2µ 2(sin2µ

2cos2ξ

2−sin2ξ 2cos2 µ

2) =4 sin2µ

2sinµ+ξ

2 sinµξ 2 >0.

Thus the right-hand side of (19) is indeed positive.

To prove (20), we first compute from (18) that A2(ξ) = (4 sin2 µ

2cos2 ξ

2−sin2 𝛾

2)(sin2 𝛾

2−4 sin2ξ 2cos2 µ

2)

= ((4 sin2µ

2−sin2 𝛾

2) −4 sin2µ 2sin2 ξ

2)(sin2 𝛾

2−4 sin2ξ 2cos2µ

2)

=4 sin2 µ 2(sin2𝛾

2−4 sin2 ξ 2cos2µ

2) −sin2 𝛾 2(sin2 𝛾

2−4 sin2ξ 2cos2µ

2)

−4 sin2µ 2sin2 ξ

2sin2𝛾

2+4 sin2µ 2sin2ξ

24 sin2ξ 2cos2µ

2

=4 sin2 µ 2sin2 𝛾

2−4 sin2µsin2ξ

2−sin4𝛾

2+4 sin2 𝛾 2sin2 ξ

2cos2 µ

2−4 sin2µ 2sin2ξ

2sin2𝛾 2 +4 sin2µsin4ξ

2

=4 sin2µsin4ξ

2−4 sin2 ξ

2(sin2µ−sin2 𝛾 2cos2µ

2+sin2 µ 2sin2𝛾

2) +4 sin2 µ 2sin2𝛾

2 −sin4𝛾 2

=4 sin2µsin4ξ

2−4 sin2 ξ

2(sin2µ−sin2 𝛾

2cosµ) +4 sin2µ 2sin2𝛾

2−sin4 𝛾 2.

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Substituting this into the left-hand side of (20), we obtain A2(ξ) − (sinµcosξ−sin2 𝛾

2cotµ)2

=4 sin2µsin4 ξ

2−4 sin2ξ

2(sin2µ−sin2𝛾

2cosµ) +4 sin2µ 2sin2 𝛾

2−sin4 𝛾 2

−sin2µcos2ξ−sin4 𝛾

2cot2µ+2 sinµcosξsin2 𝛾 2cotµ

=4 sin2µsin4 ξ

2−4 sin2ξ

2(sin2µ−sin2𝛾

2cosµ) +4 sin2µ 2sin2 𝛾

2−sin4 𝛾 2

−sin2µ(1−2 sin2ξ

2)2−sin4𝛾

2cot2µ+2 sinµ(1−2 sin2ξ

2)sin2𝛾 2cotµ

= −4 sin2ξ

2(sin2µ−sin2𝛾

2cosµ) +4 sin2 µ 2sin2 𝛾

2−sin4𝛾

2 −sin2µ+4 sin2µsin2ξ 2

−sin4𝛾

2cot2µ+2 sinµsin2 𝛾

2cotµ−4 sin2ξ 2sin2 𝛾

2cosµ

=4 sin2µ 2sin2𝛾

2−sin4𝛾

2−sin2µ−sin4 𝛾

2cot2µ+2 sin2 𝛾 2cosµ

=sin2 𝛾

2(4 sin2µ

2 +2 cosµ) −sin4 𝛾

2(1+cot2µ) −sin2µ

=sin2 𝛾

2(4 sin2µ

2 +2(1−2 sin2 µ

2)) −sin4 𝛾 2

1

sin2µ−sin2µ

= −(sin2µ−sin2 𝛾

2)2/sin2µ.

This is clearly non-positive, hence (20) is proved.

IfdA(ξ)̂ =0, then by the first formula of this proof, eitherξ =0 orµ=0 or sin2µ=sin2(𝛾/2)by our last formula. As 2µ = α+β, we can exclude the second case. If sinµ= sin(𝛾/2)thenµ= 𝛾/2, henceα+β =𝛾, which means thatzis on the reflection of the arcxy(side ofxyz) to the straight linexy, i.e.xyzis not a proper

disc-triangle but a spindle. This finishes the proof of Lemma 4.1. 2

Now we proceed from disc-triangles to general disc-polygons with an arbitrary number of sides. LetDbe a disc-polygon with verticesx1,x2, . . . ,xn(n≥4). Assume that the vertices are labeled in a cyclic order on the boundary ofDsuch that the sidexn−2xn−1is not shorter than the sidexn−1xn. We apply Lemma 4.1 to the disc-trianglexn−2xn−1xnin such a way thatxn−1plays the role of the vertexz. We continuously movexn−1as described in Lemma 4.1 while all other vertices ofDremain fixed and the perimeter ofDalso remains fixed.

xn−1

xn

x1 xn−2

x󸀠n−1

The extreme position ofxn−1is when it is incident with the extension of the arc of the sidexnx1. Denote this new point byx󸀠n−1. By Lemma 4.1, area(xn−2x󸀠n−1xn) < area(xn−2xn−1xn). The pointsx1, . . . ,x󸀠n−1,xn determine a new disc-polygonD󸀠with fewer vertices thanD(xnis no longer a vertex), the same perimeter, and with area(D󸀠) <area(D).

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Since a general hyperconvex disc may be approximated by discn-gons arbitrarily well with respect to Hausdorff distance, a simple continuity argument finishes the proof of Theorem 1.3 for general hyperconvex discs.

Acknowledgements: Supported by the European Union and co-funded by the European Social Fund under the project “Telemedicine-focused research activities on the field of Mathematics, Informatics and Medical sciences” of project number “TÁMOP-4.2.2.A-11/1/KONV-2012-0073”.

Funding: The first author was supported by the János Bolyai Research Scholarship of the Hungarian Academy of Sciences.

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