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Advances in Applied Mathematics
www.elsevier.com/locate/yaama
The minimal Orlicz surface area
✩Du Zou,Ge Xiong∗
DepartmentofMathematics,ShanghaiUniversity,Shanghai,200444,PRChina
a r t i c l e i n f o a b s t r a c t
Articlehistory:
Received27October2013 Receivedinrevisedform30July 2014
Accepted7August2014
Availableonline17September2014
MSC:
52A40
Keywords:
OrliczBrunn–Minkowskitheory Minimalsurfacearea
Reverseisoperimetricinequality
Petty proved that a convex body in Rn has the minimal surface area amongst its SL(n) images, if, and only if, its surfaceareameasureisisotropic.Byintroducinganewnotion of minimal Orlicz surface area, wegeneralize thisresult to theOrliczsetting.TheanalogofBall’sreverse isoperimetric inequalityisestablished.
© 2014ElsevierInc.All rights reserved.
1. Introduction
AclassicalandusefulresultprovedbyPetty[41]istheminimalsurfaceareatheorem, which states: A convex body (i.e., a compact convex set with non-empty interior) in Euclidean n-space Rn has the minimal surface areaamongst its SL(n) images, if, and only if, its surface area measure is isotropic on the unit sphere Sn−1. Its importance was rediscovered in the 1990s. In [9], Clack generalized it to Minkowski space. Later,
✩ Research of the authors was supported by Innovation Program of Shanghai Municipal Education CommissionNo.11YZ11andNSFCNo.11471206.
* Correspondingauthor.
E-mailaddress:[email protected](G. Xiong).
http://dx.doi.org/10.1016/j.aam.2014.08.006 0196-8858/© 2014ElsevierInc.All rights reserved.
GiannopoulosandPapadimitrakis[14]usedisotropicsurfaceareameasuretostudy the hyperplane projectionsof convexbodies.
As theBrunn–Minkowskitheory[44] wasextendedto theLp Brunn–Minkowskithe- ory (see,e.g.,[7,8,10,20,25–34,40,43,45–47,50,49,51,53]),thenotionsofsurfaceareaand surface area measure were extended to those of Lp surface area and Lp surface area measure,respectively.SeetheinitialworksofLutwak[28,29].In[34],Lutwak,Yangand ZhangshowedthatPetty’stheoremhasanaturalLpgeneralization:TheLpsurfacearea ofaconvexbodyisminimalamongstitsSL(n) images,if,andonlyif,itsLpsurfacearea measure isisotropiconSn−1.
Beginningwith aseriesof ground-breaking articles[26,35,36,19]andthevery recent work[12],amorewideextension oftheLp Brunn–Minkowskitheoryemerged,whichis now called theOrlicz Brunn–Minkowski theory. In this context, the main goal of this paper istoseekanOrliczextension oftheminimalLp surfacearea.
Throughout thispaper,letϕ: [0,∞)→[0,∞) beconvexandstrictlyincreasingwith ϕ(0)= 0,anddenote byΦtheclassof thoseϕ.
Suppose K isa convexbody inRn with theorigin inits interior.Its Orlicz surface area Sϕ(K) withrespecttoϕisdefinedby
Sϕ(K) =
∂K
ϕ 1
x·ν(x)
x·ν(x)dHn−1(x).
Here, ν(x), x·ν(x) and Hn−1 denote the outer unit normal of ∂K at x ∈ ∂K, the standardinner product ofxandν(x), andthe(n−1)-dimensionalHausdorffmeasure, respectively.Notethatν(x) existsforHn−1-almost allx∈∂K.
Ifϕ(t)=tp,1≤p<∞,thenSϕ(K) ispreciselytheLp surfacearea[28,29]ofK.
In Section3, we demonstratethat moduloorthogonal transformations, the body K has a unique SL(n) image with minimal Orlicz surface area. In view of this fact, we define theminimalOrliczsurface areaofK withrespect toϕby
Aϕ(K) = min
Sϕ(T K) :T ∈SL(n) .
For ϕ ∈Φ∩C1(0,∞),i.e., forsmooth functions ϕin Φ, we introducethe transfor- mation, ϕ → ϕ, defined by ϕ(t) = tϕ(t). Then, for each Borel set ω ⊆ Sn−1, we write
Sϕ(K, ω) =
ν−1(ω)
ϕ 1
x·ν(x)
dHn−1(x).
Ifϕ(t)=tp,1≤p<∞,thenSϕ(K,·)/pisjusttheLp surfaceareameasureofK.
InSection4,weextendPetty’sresulttotheOrliczsetting.
Theorem 1.1. Suppose K is a convex body in Rn with the origin in its interior, and ϕ∈Φ∩C1(0,∞).ThenAϕ(K)=Sϕ(K)ifandonly if Sϕ(K,·) isisotropiconSn−1.
In the last section, we provide bounds for the minimal Orlicz surfacearea Aϕ(K).
When the volume of K is fixed, origin-symmetric ellipsoids attain the minimum; the volumeof L∞ Johnellipsoid introduced in[34] dominates it from above.Especially, if theJohn point (i.e., center ofthe John ellipsoid) ofbody K isat the origin,we prove thefollowing
Theorem1.2. AmongstallconvexbodiesinRn with thesamevolumeandJohnpointsat theorigin,moduloSL(n)transformations,then-dimensionalsimplexuniquelymaximizes the minimal Orlicz surface area. If the involved bodies are origin-symmetric, then the n-dimensionalparallelotopeistheuniquemaximizer.
2. Preliminaries
Inordertokeepthepaperself-contained,wecollectheresomebasicfactsfromConvex Geometry.GoodreferencesonthetheoryofconvexbodiesarethebooksbyGardner[11], Gruber[16], Pisier[42],Schneider[44], andThompson[48],etc.
Asusual, x·y denotes thestandardinner productof xandy inRn; B ={x∈Rn : x·x≤1}andSn−1=∂B denotetheunitball andunitsphereinRn,respectively.The volumeofB isπn/2/Γ(1 +n/2).
Accordingtothecontext,onecancatchclearlythatthenotation|·|hasseveraldiffer- entmeanings:theabsolutevalue,thestandardEuclideannormonRn,then-dimensional volume,theabsolute valueof determinantof ann×n matrix,and thetotalmass ofa finitemeasure.
Forbrevity,wewrite x=|x|−1x,forx∈Rn\ {0}.
GivenaconvexbodyK inRn,itssupportfunction hK :Rn →Risdefinedby hK(x) = max{x·y:y∈K}.
Thedefinitionimmediately givesthatforT ∈GL(n) andx∈Rn, hT K(x) =hK
Ttx
. (2.1)
Throughoutthispaper,KondenotestheclassofconvexbodiesinRn thatcontainthe origin intheir interiors. Kon is often equipped with the Hausdorff metric δH, which is definedforK1,K2∈ Kno,byδH(K1,K2)= maxSn−1|hK1−hK2|.
The classical surface area measure SK, of a convex body K, is the unique Borel measureonSn−1 suchthat
Sn−1
f(u)dSK(u) =
∂K
f νK(y)
dHn−1(y),
foreachcontinuousf :Sn−1→R.
Thecone-volumemeasureVK,ofaconvexbodyK,isaBorelmeasureonSn−1defined foraBorelsetω⊆Sn−1 by
VK(ω) = 1 n
ω
hKdSK.
It is convenient to use thenormalized cone-volumemeasure VK = V|K|K,of K. Observe that VK is a probability measure on Sn−1. Also, VK is GL(n)-invariant, i.e., for T ∈ GL(n) andaBorelsubsetω⊆Sn−1,ityields
VTtK(ω) =VK
T ω
, (2.2)
where T ω={ T u:u∈ω}.
Thecone-volumemeasurehasbeenappearedandinvestigatedwidelyinvariouscon- texts recently,see e.g.,[5,7,8,15,21,20,26,27,38–40,46,47,51].
What followsrecallssomefundamentalfactsestablishedin[12].
ForK∈ Kno,ϕ∈Φ,andε≥0,definethefunctionhϕ,ε:Rn →[0,∞) by
hϕ,ε(x) = inf λ >0 :ϕ
hK(x) λ
+εϕ
|x| λ
≤ϕ(1)
.
Observe that hϕ,ε is both sublinear and positive definite. Thus, there exists a unique convex bodyKϕ,ε∈ Kno suchthatitssupportfunctionispreciselyhϕ,ε.
Accordingto Lemmas8.2and 8.4in[12],wehaveKϕ,ε→K,as ε→0+, and
∂
∂ε
ε=0+
hϕ,ε= hK(u) ϕ−(1)ϕ
1 hK(u)
, uniformly foru∈Sn−1. Here,ϕ−(1) denotestheleft derivativeofϕat 1.
Note thath(ε,u)=hϕ,ε(u): (0,∞)×Sn−1 →(0,∞) is continuous ([54]). Thus, by Aleksandrov’svariationalprinciple(seeLemma3.1in[8],Lemma8.3in[12]orLemma 1 in[19]),ityieldsthat
d dε
ε=0+
|Kϕ,ε|= n ϕ−(1)
Sn−1
ϕ 1
hK
dVK.
If ϕ(t)=t,then Kϕ,ε=Kε:={x+y:x∈K,y∈εB}isprecisely theouterparallel body[44] ofK.Correspondingly,theaboveformulareducesto theclassicalversion
d dε
ε=0+
|Kε|=|SK|=Hn−1(∂K).
Inthissense,we introducethefollowing
Definition 2.1. TheOrlicz surface area Sϕ(K),of aconvex bodyK ∈ Kno withrespect toafunctionϕ∈Φ,isdefinedby
Sϕ(K) =n
Sn−1
ϕ 1
hK
dVK.
Ifϕ(t)=tp,1≤p<∞,then Sϕ(K) turnsto Sp(K),theLp surfaceareaofK.
RecallthattheOrlicz mixedvolumeVϕ(K,L),ofK,L∈ Kno,isdefinedby
Vϕ(K, L) = 1 n
Sn−1
ϕ hL
hK
dVK.
(See,e.g.,[12,52,54]).Thus,Sϕ(K)=nVϕ(K,B).
3. TheminimalOrliczsurfacearea
InordertodemonstratetheexistenceanduniquenessofminimalOrliczsurfacearea, webeginbyprovingtwo lemmas.
Lemma3.1. SupposeK∈ Kno,ϕ∈Φand T ∈GL(n).Then
Sϕ(T K) =n|T|
Sn−1
ϕ
hT−1B
hK
dVK.
Proof. From Definition 2.1,(2.1)and(2.2),wehave
Sϕ(T K) =n|T K|
Sn−1
ϕ 1
hT K(u)
dVT K(u)
=n|T||K|
Sn−1
ϕ
|T−t Ttu| hK( Ttu)
dVK
Ttu
=n|T||K|
Sn−1
ϕ
hT−1B( Ttu) hK(Ttu)
dVK
Ttu
=n|T|
Sn−1
ϕ
hT−1B
hK
dVK,
asdesired. 2
Given anorigin-symmetricellipsoidE inRn,letdE= max{hE(u):u∈Sn−1}.Then there existsavE∈Sn−1 suchthatforallu∈Sn−1,
dE|u·vE| ≤hE(u). (3.1)
Lemma 3.2.Suppose K∈ Kno,ϕ∈ΦandT ∈SL(n).Then
dT−1B ≤ n|K|ϕ−1(Sϕn|K|(T K)) minv∈Sn−1
Sn−1|u·v|dSK(u), where ϕ−1 istheinverse functionofϕ.
Proof. FromLemma 3.1,thestrictmonotonicityofϕtogetherwith(3.1),theconvexity of ϕtogether withJensen’sinequality,wehave
Sϕ(T K) n|K| =
Sn−1
ϕ
hT−1B
hK
dVK
≥
Sn−1
ϕ
dT−1B|u·vT−1B| hK(u)
dVK(u)
≥ϕ
Sn−1
dT−1B|u·vT−1B|
hK(u) dVK(u)
≥ϕ
dT−1B
n|K| min
v∈Sn−1
Sn−1
|u·v|dSK(u)
.
Since ϕ−1 is strictly increasing in [0,∞), and minv∈Sn−1
Sn−1|u·v|dSK(u)>0 by the fact thatSK is notconcentrated on any great subsphere,the desired inequalityis derived. 2
Withthepreviouslemmasinhand,wecanshowthattheminimalOrliczsurfacearea is well-defined.
Theorem 3.3. Suppose K ∈ Kno and ϕ ∈ Φ. Then modulo orthogonal transformations, there existsauniquesolution totheminimization problem
min
T∈SL(n)Sϕ(T K).
Alternatively, by using Orlicz mixed volume, we can reformulate this theorem as follows: Theunitball B hasauniqueSL(n) imageE0 suchthat
Vϕ(K, E0) = min
Vϕ(K, T B) :T ∈SL(n) .
Proof. Let{Tk}k ⊂SL(n) beaminimizingsequence fortheproblem,thatis,
klim→∞Sϕ(TkK) = inf
Sϕ(T K) :T ∈SL(n) .
Notethat
inf
Sϕ(T K) :T ∈SL(n)
≤Sϕ(K)<∞,
this implies {Sϕ(TkK)}k, therefore {ϕ−1(Sϕn|K|(TkK))}k, is bounded from above. So, by Lemma 3.2, {Tk−1B}k is bounded with respect to the Hausdorff metric. From the Blaschkeselectiontheorem,{Tk−1B}k hasaconvergentsubsequence{Tk−1
j B}j thatcon- vergestoabodyE.SincevolumefunctionaliscontinuouswithrespecttotheHausdorff metric, and |Tk−j1B| = ωn for each j, it yields that |E| = ωn; Since the conver- genceof {Tk−j1B}j is equivalent to theuniform convergence of{hT−1
kj B}j onSn−1,and hT−1
kjB(u)=hT−1
kj B(−u) forallu∈Sn−1,ityieldsthathE(u)=hE(−u) forallu∈Sn−1. Thus,E isanon-degeneratedorigin-symmetricellipsoid.
Consequently, there exists atransformation T0 ∈ SL(n) such thatE =T0−1B. This demonstratestheexistenceof solutionsto theconsideredproblem.
Now, we prove the uniqueness by contradiction. Assume there are two solutions T1,T2 ∈ SL(n) to the considered problem, and they don’t differ only by an orthogo- naltransformation. Itis knownthatTi−1 canbe representedin theform Ti−1 =PiQi, i= 1,2,wherePiisasymmetricpositivedefinitematrixandQiisanorthogonalmatrix.
Theabove assumption implies thatP1 = λP2, for allλ >0. Hence,the Minkowski inequalityforsymmetricpositivedefinitematricesshowsthat
det
P1+P2
2 n1
> 1
2det (P1)n1 +1
2det (P2)n1 = 1.
Let
T3=
det
P1+P2 2
−n1(P1+P2) 2
−1
. Then, T3 ∈SL(n) andhT−1
3 B(u)< h1
2(P1+P2)B(u), forall u∈Sn−1. Sinceϕ isstrictly increasingandconvexin[0,∞),wehave
ϕ hT−1
3 B
hK
< ϕ h1
2(P1+P2)B
hK
≤ 1 2ϕ
hP1B
hK
+1 2ϕ
hP2B
hK
.
Thus,byLemma 3.1, wehave Sϕ(T3K) =n
Sn−1
ϕ hT−1
3 B
hK
dVK
<n 2
Sn−1
ϕ hP1B
hK
dVK+n 2
Sn−1
ϕ hP2B
hK
dVK
=1
2Sϕ(T1K) +1
2Sϕ(T2K)
=Sϕ(T1K)
=Sϕ(T2K).
Thatis,
Sϕ(T3K)< Sϕ(T1K) =Sϕ(T2K).
However,bythepreviousassumptiononT1 andT2,wehave Sϕ(T3K)≥Sϕ(T1K) =Sϕ(T2K), whichisacontradiction.Theproof iscomplete. 2
InviewofTheorem 3.3, naturally,weintroducethefollowing Definition 3.4.SupposeK∈ Kon andϕ∈Φ.Thequantity
Aϕ(K) = min
Sϕ(T K) :T ∈SL(n)
is calledtheminimalOrlicz surfaceareaof theconvex bodyK withrespect toϕ.
Obviously, Aϕ(K) isSL(n) invariantand ageneralizationof Petty’sminimal surface area. If ϕ(t)=tp,1≤p< ∞,then the notionof minimal Orlicz surface areareduces to thatofminimal Lp surfaceareaandparticularlythatofminimaltotalLp curvature, whenevertheboundary∂Kisof classC+2. See[34].
4. AcharacterizationoftheminimalOrliczsurfacearea
Throughoutthissection,weimposeaconditiononϕ∈Φ,thatϕissmoothin(0,∞).
SupposeK∈ Kno andϕ∈Φ∩C1(0,∞).Recallthat Sϕ(K, ω) =
ω
ϕ 1
hK
dSK,
foreachBorelsubsetω⊆Sn−1.
For further discussion, we introduce the important notion of isotropy of measures.
A nonnegativeBorelmeasureμonSn−1 issaidtobe isotropicif
Sn−1
(u·v)2dμ(u) = |μ|
n , for allv∈Sn−1. Thedefinitionimmediately yields
Sn−1
u2idμ(u) = |μ| n ,
whereuidenotestheithcomponentofthecoordinateofu.Formoreinformationabout theisotropy,wereferto[1,2,6,13,14,37].
Forx∈Rn\ {0},themapx⊗x:Rn →Rn istherank1 linearoperatory→(x·y)x.
So,itfollowsthattr(x⊗x)=|x|2.
Thenexttheorem characterizestheconvexbodywithminimalOrliczsurfacearea.
Theorem4.1. SupposeK ∈ Kno, ϕ∈Φ∩C1(0,∞) andT0 ∈SL(n).Then thefollowing assertionsare equivalent:
(1) Aϕ(K)=Sϕ(T0K).
(2) The measureSϕ(T0K,·) isisotropiconSn−1. (3) Forallx∈Rn,thetransformationT0 satisfies
|x|2
ω
T0−tuϕ
|T0−tu| hK(u)
dSK(u) =n
Sn−1
|x·T0−tu|2
|T0−tu| ϕ
|T0−tu| hK(u)
dSK(u).
Proof. First,weprovetheequivalenceof (1)and(2).
Suppose that(1) holds. Since Aϕ(K) isSL(n) invariant, we mayassume thatT0 is then×nidentitymatrixIn.
Let T be alinear transformation. Then there exists ε0 > 0 such thatfor each ε ∈ (0,ε0),thematricesIn+εT andIn−εT arestillpositivedefinite.Forε∈(0,ε0),define
Tε= In+εT
|In+εT|n1.
Ifεissufficientlysmall,fromLemma 3.1,thesmoothnessofϕ,togetherwiththetwo equalities
|In+εT|1n = 1 + ε
ntrT+o ε2
, (In+εT)−tu= 1−εu·Ttu+o
ε2 ,
andthedefinitionofSϕ,wehave Sϕ(TεK) =
Sn−1
ϕ
|Tε−tu| hK(u)
hK(u)dSK(u)
=
Sn−1
ϕ
|In+εT|1n|(In+εT)−tu| hK(u)
hK(u)dSK(u)
=Sϕ(K) +ε
Sn−1
trT
n −u·Ttu
ϕ 1
hK(u)
dSK(u) +o ε2
=Sϕ(K) +ε
Sn−1
trT
n −u·Ttu
dSϕ(u) +o ε2
.
BytheassumptionthatSϕ(TεK)≥Sϕ(K),itimmediatelyyields
Sn−1
trT
n −u·Ttu
dSϕ(u)≥0.
Replacing T by−T intheaboveinequality,weget
Sn−1
trT
n −u·Ttu
dSϕ(u)≤0.
Hence,
Sn−1
u·TtudSϕ(K, u) =trT
n Sϕ(K,·).
Taking T =x⊗x,with x∈Rn\ {0},andusing thefactsu·(x⊗x)tu=|x·u|2 and tr(x⊗x)=|x|2,wehave
Sn−1
(x·u)2dSϕ(K, u) = |Sϕ(K,·)| n |x|2, whichshows theisotropyofSϕ(K,·).
Next, we show the implication “(2) =⇒ (1)”. The proof will be completed by two steps.
Firstly,forapoint a= (a1,· · ·,an)∈[0,∞)n,let F(a) =
Sn−1
ϕ
|diag(a1,· · ·, an)u| hK(u)
dVK(u),
where diag(a1,· · ·,an) denotes thediagonalmatrixwithdiagonalelements a1,· · ·,an. Weaimto showthat
F(a)≥F(e), whenevera1a2· · ·an= 1. (4.1) Here,edenotesthepoint(1,· · ·,1).
Itcanbe checked thatF : [0,∞)n →[0,∞) is continuousand convex, andF(λa) is strictly increasing inλ∈[0,∞), forany a∈(0,∞)n. Thus, F−1([0,F(e)]) is compact, convexandofnon-emptyinterior. Precisely,itisaconvexbody.
By the smoothness of ϕ and that |diag(a1,· · ·,an)u| is smooth in (a1,· · ·,an) uni- formlyforu∈Sn−1,wehave
∂
∂aj
a=e
F(a) =
Sn−1
∂
∂aj
a=e
ϕ
|diag(a1,· · ·, an)u| hK(u)
dVK(u)
= 1 n
Sn−1
u2jdSϕ(K, u).
Meanwhile, since the boundary of F−1([0,F(e)]) is given by the equation F(a) = F(e) with a ∈ Rn+, so the vector
Sn−1(u21,· · ·,u2n)dSϕ(K,u) is an outer normal of F−1([0,F(e)]) at theboundarypointe.Note thatSϕ(K,·) isisotropic,ityields
Sn−1
u21,· · ·, u2n
dSϕ(K, u) = |Sϕ(K,·)|
n (1,· · ·,1) = |Sϕ(K,·)| n e.
Thus,eisanouternormalofF−1([0,F(e)]) attheboundarypointe. Consequently, F−1
0, F(e)
⊂
a∈Rn:a·e≤n .
Thatis to say, for alla ∈ [0,∞)n, if F(a)≤ F(e), then a·e≤ n. In contrast, for all b= (b1,· · ·,bn)∈(0,∞)n withb1· · ·bn = 1,theAM-GMinequalityyieldsthatb·e≥n, withequalityifandonlyifb=e.Thus,(4.1)isderived.
Secondly,with(4.1)inhand,weaimtoshowthatforallT ∈SL(n),Sϕ(T K)≥Sϕ(K), withequalityifandonlyifT isorthogonal.
ItisknownthatT−tcanberepresentedintheformT−t=P AQ,whereP andQare n×n orthogonal matrices, and A = diag(a1,· · ·,an) is diagonal and positivedefinite.
So,byLemma 3.1, (2.2), (4.1), andLemma 3.1again, wehave
Sϕ(T K) =n
Sn−1
ϕ
|Au| hQK(u)
dVQK(u)
=n
Sn−1
ϕ
|diag(a1,· · ·, an)u| hQK(u)
dVQK(u)
≥n
Sn−1
ϕ
|diag(1,· · ·,1)u| hQK(u)
dVQK(u)
=n
Sn−1
ϕ 1
hQK(u)
dVQK(u)
=Sϕ(QK)
=Sϕ(K),
equality holds if and only if (a1,· · ·,an) = (1,· · ·,1), equivalently, if and only if T is orthogonal. Thus,theimplication“(2) =⇒(1)” isshown.
Intherest, weprovetheequivalenceof(2)and (3).
From the definitions of Sϕ(T0K,·) and cone-volume measure, (2.1), and (2.2), we have
dSϕ(T0K, u) =nϕ 1
hT0K(u) 1
hT0K(u)dVT0K(u)
=nϕ
|T0−t T0tu| hK( T0tu)
|T0−t T0tu| hK( T0tu)dVK
T0tu
=ϕ
|T0−t T0tu| hK( T0tu)
T0−t
T0tudSK
T0tu ,
whichimmediately yieldsthat
Sn−1
T0−tvϕ
|T0−tv| hK(v)
dSK(v) =Sϕ(T0K,·).
Meanwhile, forx∈Rn we have
Sn−1
|x·u|2dSϕ(T0K, u)
=
Sn−1
x·T0−t
T0tu2T0tu2ϕ
|T0−t T0tu| hK( T0tu)
T0−t
T0tudSK
T0tu
=
Sn−1
x·T0−tv2T0−tv−2ϕ
|T0−tv| hK(v)
T0−tvdSK(v)
=
Sn−1
x·T0−tv2T0−tv−1ϕ
|T0−tv| hK(v)
dSK(v).
Withthese,theequivalenceof(2)and(3)isshown.
Theproof iscomplete. 2
5. BoundsfortheminimalOrliczsurfacearea
Inthissection, weestimate theminimalOrlicz surfaceareaAϕ(K).Lemma 5.1 and Theorem 5.2givelowerbounds. Theorem 5.3andTheorem 5.7giveupperbounds.
WriteA(K)= min{Hn−1(∂(T K)):T ∈SL(n)} for theminimal surface areaof K.
Note thatforour purpose,this quantityis alittledifferent from thatof Giannopoulos andPapadimitrakis[14].
Thenextlemmashows therelationshipbetweenAϕ(K) andA(K),and isneededin theproofsofTheorem 5.2, Lemma 5.4andLemma 5.5.
Lemma5.1. SupposeK∈ Kno andϕ∈Φ.Then
Aϕ(K)≥n|K|ϕ A(K)
n|K|
. (5.1)
If K has an SL(n) image K such that: (1) SK is isotropic; (2) hK|suppSK, that is, the restriction of hK to the support set of SK, is constant, then equality holds in(5.1).
Conversely,ifϕisstrictlyconvex,thenequalityholdsin(5.1)onlyifKhasanSL(n) image K whichsatisfies(1) and(2).
Proof. ForT ∈SL(n),recallthat Sϕ(T K)
n|K| =
Sn−1
ϕ 1
hT K
dVT K,
and
Hn−1(∂(T K)) n|K| =
Sn−1dST K n|K| =
Sn−1
1 hT K
dVT K.
SinceϕisconvexandVT K isaprobabilitymeasure,byJensen’sinequality,wehave Sϕ(T K)
n|K| ≥ϕ
Sn−1
1
hT KdVT K
=ϕ
Hn−1(∂(T K)) n|K|
,
whichyields(5.1)bytheexistenceofAϕ(K) andA(K).
Weproceedtoprovetheequalitycondition.
Ononehand,byPetty’sminimalsurfaceareatheoremand (1),wehave A(K) =Hn−1
∂K .
ByTheorem 4.1,(1)and(2),wehave Aϕ(K) =Sϕ
K
=n|K|ϕ
Hn−1(∂K) n|K|
.
Thus, Aϕ(K)=n|K|ϕ(A(K)n|K|).
Conversely,theequalityAϕ(K)=n|K|ϕ(A(K)n|K|),aswellastheexistenceofA(K) and Aϕ(K),impliesthatK hastwoSL(n) imagesK1and K2 whichsatisfythefollowing:
(3) Sϕ(K1)=Aϕ(K).
(4) Sϕ(K1)=n|K|ϕ(Hn−1n|K|(∂K2)).
(5) For allT ∈ SL(n), Hn−1(∂(T K2))≥ Hn−1(∂K2), with equality ifand onlyif T is orthogonal.
TheprovedinequalitySϕ(K1)≥n|K|ϕ(Hn−1n|K|(∂K1)) togetherwith(4), yields
ϕ
Hn−1(∂K2) n|K|
≥ϕ
Hn−1(∂K1) n|K|
.
Since ϕis strictlyincreasing,wehave
Hn−1(∂K2)≥ Hn−1(∂K1).
Withthisand(5),weconcludethatK1differsfromK2onlybyanorthogonaltransfor- mation. Thus, byPetty’sminimal surfaceareatheorem,weknow thatSK1 isisotropic onSn−1.Moreover,bytheorthogonalinvarianceofHn−1and(4), wehave
Sϕ(K1) =n|K|ϕ
Hn−1(∂K1) n|K|
.
Thatis,
Sn−1
ϕ 1
hK1
dVK1=ϕ
Sn−1
1 hK1dVK1
.
SinceVK1 isaprobabilitymeasureandϕisstrictlyconvex,bytheequalitycondition of Jensen’sinequality,itfollowsthathK1|suppVK1,i.e.,hK1|suppSK1,isconstant. 2 Theorem 5.2.SupposeK∈ Kno andϕ∈Φ.Then
Aϕ(K)≥n|K|ϕ |B|
|K| 1n
. (5.2)
If ϕ is strictly convex, then equality holds in (5.2) if and only if K is an origin- symmetricellipsoid.
Proof. ApplyingtheclassicalisoperimetricinequalitytoA(K),wehave A(K)
n|K| ≥ |B|
|K| n1
,
withequalityifandonlyifKis anellipsoid.Withthisand(5.1),(5.2)isestablished.
Supposeϕisstrictlyconvex.SinceK∈ Kno,byLemma 5.1andtheequalitycondition in the above inequality, it follows that equality holds in (5.2) if and only if K is an origin-symmetricellipsoid. 2
In what follows, we use the L∞ John ellipsoid discovered in [34] to estimate the minimalOrliczsurfaceareaAϕ(K).
Suppose K ∈ Kno. Recall that the L∞ John ellipsoid, E∞K, is the unique origin- symmetricellipsoid contained inK with maximal volume.Thatis, amongst allorigin- symmetricellipsoidsE,E∞Kistheuniqueonethatsolvestheconstrainedmaximization problem
maxE |E| subject toV∞(K, E)≤1,
whereV∞(K,E)= max{hhEK(u)(u) :u∈suppSK}.Indeed,E∞K necessarilysatisfies V∞(K,E∞K) = 1.
WriteE∞K for(|E|B|
∞K|)1/nE∞K. Asitwasshownin[34],E∞K istheuniqueSL(n) imageofB whichsatisfies
V∞(K,E∞K) = min
V∞(K, T B) :T ∈SL(n) .
ItisknownthattheclassicalJohnellipsoidJKofK,istheuniqueellipsoidcontained inK withmaximal volume.NotethatiftheJohn pointofK, i.e.,thecenterof JK, is attheorigin,thenE∞KispreciselyJK.FormoreinformationabouttheJohnellipsoid, wereferto[3,13,18,17,22–24].
Theorem5.3. SupposeK∈ Kon andϕ∈Φ.Then
Aϕ(K)≤n|K|ϕ
|B|
|E∞K| n1
.
Proof. Suppose T ∈SL(n) and1≤p<∞. From Lemma 3.1,Jensen’s inequality,and thedefinitionofV∞,wehave
Sϕ(T K) n|K| =
Sn−1
ϕ
hT−1B
hK
dVK
≤
Sn−1
ϕ
hT−1B
hK
p
dVK
1/p
≤ lim
p→∞
Sn−1
ϕ
hT−1B
hK
p
dVK 1/p
= max ϕ
hT−1B(u) hK(u)
:u∈suppSK
=ϕ
max hT−1B(u)
hK(u) :u∈suppSK
=ϕ V∞
K, T−1B .
Thatis,
Sϕ(T K) n|K| ≤ϕ
V∞
K, T−1B
. (5.3)
Now, from(5.3)andthedefinitionsofAϕ(K),E∞K,V∞ andE∞K,itfollowsthat Aϕ(T K)
n|K| ≤min ϕ
V∞
K, T−1B
:T ∈SL(n)
=ϕ min
V∞
K, T−1B
:T ∈SL(n)
=ϕ
V∞(K,E∞K)
=ϕ
|B|
|E∞K| 1/n
V∞(K,E∞K)
=ϕ
|B|
|E∞K| 1/n
,
as desired. 2
If theJohn pointof K is atthe origin,two precise upperbounds forAϕ(K) canbe obtained.
Lemma 5.4.Suppose Tn isann-dimensionalregularsimplex inRn.Then (1) The surfaceareameasure STn isisotropicon Sn−1.
(2) A(Tn)=Hn−1(∂Tn).
(3) If theJohnpointof Tn isattheorigin, thenforallϕ∈Φ, Aϕ(Tn) =Sϕ(Tn) =n|Tn|ϕ
A(Tn) n|Tn|
.
Proof. Lete1,· · ·,en bethestandardorthonormalbasisofRnandtakeRn+1asRn×R. Letu(n)1 ,· · ·,u(n)n+1betheouterunitnormalvectorsofTn.Withoutlossofgenerality,we mayassumeu(n)n+1=−en.ThenSTn canbe representedby
STn= |STn| n+ 1
n+1
j=1
δu(n) j
,
whereδu(n)
j denotestheDiracmeasureat u(n)j .
Weprove(1)byinductiononthedimensionn. Ifn= 1,itisobvious.
Assume(1)holdsforn.Then,forallx1∈Rn,fromthedefinitionofisotropy,wehave
n+1
j=1
x1·u(n)j 2
= n+ 1
|STn| · |STn| n+ 1
n+1
j=1
x1·u(n)j 2
= n+ 1
|STn| ·|STn|
n |x1|2= n+ 1 n |x1|2.
ThefactthatthecentroidofSTn is attheorigin,i.e.,n+1 j=1 |STn|
n+1u(n)j = 0,impliesthat forallx1∈Rn,
n+1
j=1
x1·u(n)j = 0.
Notethatforeachj= 1,· · ·,n+ 1, u(n+1)j = 1
n+ 1
n2+ 2nu(n)j ,1 .
Hence,forallx= (x1,x2)∈Rn×R,
|STn+1| n+ 2
n+2
j=1
x·u(n+1)j 2=|STn+1| n+ 2
n2+ 2n (n+ 1)2
n+1
j=1
x1·u(n)j 2
+n+ 2 n+ 1x22
=|STn+1| n+ 2
n2+ 2n (n+ 1)2 ·n+ 1
n |x1|2+n+ 2 n+ 1x22
=|STn+1| n+ 1 |x|2,
whichshowstheisotropyofSTn+1,andthereforeconcludes(1).
Petty’sminimal surfaceareatheoremimpliesthat(1)and(2)areequivalent.