Research article

The geominimal integral curvature

  • Received: 01 April 2022 Revised: 19 May 2022 Accepted: 27 May 2022 Published: 02 June 2022
  • MSC : 52A20, 53A15

  • In this paper, the geominimal integral curvature on the convex body is introduced. The existence and uniqueness of the geominimal integral curvature are proved. Some other properties for the geominimal integral curvature, such as continuity, are investigated.

    Citation: Shuang Mou. The geominimal integral curvature[J]. AIMS Mathematics, 2022, 7(8): 14338-14353. doi: 10.3934/math.2022790

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  • In this paper, the geominimal integral curvature on the convex body is introduced. The existence and uniqueness of the geominimal integral curvature are proved. Some other properties for the geominimal integral curvature, such as continuity, are investigated.



    The geominimal surface area belongs to the research category of convex geometric analysis. The classical geominimal surface area, which can be dated back to 1974, was firstly introduced by Petty [21], in his paper, the classical Petty body was obtained and some classical affine isoperimetric inequalities were established. With the development of the Lp-Brunn-Minkowski theory, the classical geominimal surface area has been extended to Lp cases by Lutwak [14] (for p>1) and Ye [26] (for np<1) (also see [28,30]). The dual Lp-Brunn-Minkowski theory was introduced by Lutwak [13,15]. Wang and Chen [25] introduced the dual Lp geominimal surface area. For more results of the geominimal surface area, one can refer to [9,10,11,18,27,29,31] and so on.

    We shall work in the n-dimensional Euclidean space Rn with the standard inner product xy of x and y in Rn. For xRn, write |x|=xx for the Euclidean norm of x. We call a set KRn is convex if provided that for any two points x,yK and λ[0,1], one has λx+(1λ)yK. A convex subset KRn is called a convex body if K is compact with nonempty interior, and the interior point of a convex body K can be written as intK. Moreover, if for any two points x,yK (xy) and λ(0,1), λx+(1λ)yintK holds, we call the convex body K is a strictly convex.

    Throughout this paper, let Kn be the class of all convex bodies in Rn and Kn0 be the class of all convex bodies in Rn that contain the origin in their interiors and Kne be the class of all origin-symmetric convex bodies in Rn. The standard Lebesgue measure of a set K in Rn will be denoted by |K|, we call |K| is the n-dimensional volume of a set KKn. The volume radius of the convex body K is defined as vrad(K)=(|K|/ωn)1/n. The origin-symmetric unit ball in n-dimensional Euclidean space is denote by Bn2, i.e., Bn2={xRn:|x|1}, and we use ωn to denote the volume of the unit ball Bn2. We use Sn1 to denote the unit sphere in Rn, and we let κn be the surface area measure of Bn2. Let K|u be the orthogonal projection of K onto the subspace orthogonal to u and Vn1(K|u) be the (n1)-dimensional volume of K|u. Let C(Sn1) be the set of continuous functions defined on the unit sphere Sn1.

    As we all know, the notion of geominimal surface area was introduced by Petty [21]. For KKn0, the geominimal surface area of K, is defined by the following optimal problem:

    inf{Sn1hQ(u)dS(K,u):QKnsand |Q|=ωn}. (1.1)

    Here Q denotes polar body of Q, hQ() is the support function of convex body Q (see Section 2), Kns is the class of convex bodies in Rn whose Santalˊo points are at origin point o (see [23]), and S(K,) is the surface area measure of convex body K, i.e., for any KKn and any measurable subset ΩSn1, the surface area measure S(K,Ω), is defined by

    S(K,Ω)=ν1K(Ω)dHn1,

    where ν1K:Sn1K is the inverse Gauss map and Hn1 is the (n1)-dimensional Hausdorff measure on K.

    In [16], Lutwak extended over body Q restricted to Kn0. It follows that

    inf{Sn1hQ(u)dS(K,u):QKn0and |Q|=ωn}. (1.2)

    For any two convex bodies K,QKn, the mixed volume V1(K,Q) of K,Q is defined by

    V1(K,Q)=1nSn1hQ(u)dS(K,u).

    Moreover, for any KKn, the volume of K is defined by

    |K|=1nSn1hK(u)dS(K,u). (1.3)

    Together with (1.2), one has,

    inf{nV1(K,Q):QKn0and |Q|=ωn}. (1.4)

    Lutwak [16] proved the uniqueness of the solution to (1.4). This shows that the mixed volume V1(,) is a necessary premise of classical geominimal surface area. Hence, utilizing the relationship between the minimum surface area and the corresponding mixed volume, one can investigate the geominimal integral curvature with the help of the mixed entropy.

    We define a new concept of the entropy functional of the convex body, i.e., the entropy functional E(K) of the convex body KKn0 can be defined by

    E(K)=Sn1loghK(u)du,

    where the integration is with respect to spherical Lebesgue measure (see, Huang et al.[7]).

    For two convex bodies K,LKn0, the Lp mixed entropy is defined by

    Ep(K,L)=limε0E(Kˆ+pεL)E(K)ε,

    where Kˆ+pεL is the harmonic Lp combination of K,L for p1 and Kˆ+pεLKn0 is a new convex body. In Section 2, we will show that the convex body Kˆ+pεLKn0 can be defined for all pR and even for negative ϵ of sufficiently small absolute value. In this paper, we mainly study the mixed entropy functional when p=0, i.e., for K,LKn0

    E0(K,L)=limε0E(Kˆ+0εL)E(K)ε=Sn1logρL(u)dJ(K,u), (1.5)

    where ρL is the radial function of convex body L and J(K,) is the Aleksandrov integral curvature of the convex body K (see Section 2). For some of the the Aleksandrov integral recent resilts, see [1,3,8,19,20,22].

    There exists a natural problem: whether there is a convex body LKn0 with |L|=ωn such that L is a solution to the following problem:

    inf{E0(K,Q):QKn0 with |Q|=ωn}. (1.6)

    In this paper, let GE(K) be the geominimal integral curvature of the convex body KKn0, it can be defined by optimal problem in (1.6). Together with (1.5), it is equivalent to solve the optimal problem as follows:

    GE(K)=sup{Sn1logρQ(u)dJ(K,u):QKn0,|Q|=ωn}.

    Based on the concept of the Petty body, we will study the entropy form of the Petty body. The following is our main result.

    Theorem 1.1. Let KKno, then there exists a convex body MKne with |M|=ωn such that

    Sn1logρM(u)dJ(K,u)=sup{Sn1logρL(u)dJ(K,u):LKne,|L|=ωn}.

    In addition, in the plane R2, these bodies are unique or their polar bodies are parallelograms with parallel sides.

    This paper is organized as follows. In Section 2, we collect some basic concepts and various facts that will be used in the proofs of our results. In Section 3, we study the properties of the L0 mixed entropy. In Section 4, we obtain the existence and uniqueness of the geominimal integral curvature.

    We now introduce some basic facts and standard notations needed in this paper. For more details and concepts in convex geometry, please see [4,5,24].

    The Minkowski sum of two convex sets K and L is denoted by

    K+L={x+y:xK, yL}.

    The scalar product of λR and KKn is defined by λK={λx:xK}. For any convex body K in Rn, the support function of K, hK:Sn1R, is defined by

    hK(u)=max{xu:xK}, for all uSn1.

    For the convex body K and uSn1, the hyperplane

    HK(u)={xRn:xu=hK(u)}

    is called the supporting hyperplane of K with unit normal u. For xK, if there is only one supporting hyperplane of K passing through point x, we call xK is a smooth point. If there exist more than a supporting hyperplane of K passing through point x, we call xK is a singlar point. For each xK is a smooth point, we call the convex body K is smooth. If a convex body K is strictly convex and smooth, we say that K is a regular convex body. For each KKn, there exists a regular convex body sequence Ki such that Ki converges to K as i (see [24]).

    Let lu={tu:t0} for uSn1. If Llu is a closed line segment for all uSn1, we say LRn is star-shaped with respect to the origin. Let L be compact and star-shaped with respect to the origin, the radial function ρL:Sn1[0,) is defined by

    ρL(u)=max{λ0:λuL}, for all   uSn1.

    A compact star-shaped set with respect to the origin is uniquely determined by its radial function. If ρL is positive and continuous on Sn1, then the star-shaped L is called a star body about the origin. Let In0 be the set of all star bodies about the origin. Clearly, the radial function of a convex body in Kn0 is continuous and positive, i.e., Kn0In0. If KKn0, then

    K={ρK(u)u:uSn1}.

    And the volume of KKn0 can be rewritten by

    |K|=1nSn1ρnK(u)du. (2.1)

    For Borel set ηSn1, let ρ:η(0,) be a continuous function, then the set {ρ(u)u:uη} is a Borel set. For a set KRn, the convex hull of K, write convK, is the intersection of all convex sets containing K. Hence, the convex hull ρ generated by ρ,

    ρ=conv{ρ(u)u:uη} (2.2)

    is a compact set (see [24]). Let ηSn1 always be a closed set and not contained in any great hemisphere of Sn1, then we have ρKn0. By the definition of convex hull of the function ρ, we have

    ρρ(u)ρ(u),  for  all  uSn1. (2.3)

    If the function ρ is an even function on Sn1, then the convex hull conv{ρ(u)u:uSn1} is an origin-symmetric body. Thus a convex body K is origin-symmetric if and only if the radial function ρK of the convex body K is an even function.

    The definitions of radial function and support function immediately give that for λ>0 and K,LKn0, one has hλK=λhK, ρλK=λρK and hK+L=hK+hL. Moreover

    KL  hK(u)hL(u) and KLρK(u)ρL(u), for all uSn1.

    If KKn0, the following formulas hold for all uSn1,

    hK(u)=1ρK(u)andρK(u)=1hK(u), (2.4)

    where K is the polar body of K, and it is given by

    K={xRn:xy1, for all yK}.

    On the set Kn, we consider the topology generated by the Hausdorff metric dH(,). For K,KKn, the Hausdorff metric dH(K,K) is defined by

    dH(K,K)=hKhK=supuSn1|hK(u)hK(u)|.

    A sequence {Ki}i1Kn converges to a convex body K0Kn if dH(Ki,K0)0 as i, i.e.,

    dH(Ki,K0)0 if and only if hKihK0 uniformly as i.

    The radial metric is defined by

    dρ(K,L)=ρKρL=supuSn1|ρK(u)ρL(u)|

    for K,LIn0. We use the fact that on Kn0, the Hausdorrf metric and the radial metric are topologically equivalent, i.e.,

    dH(Ki,K0)0 if and only if dρ(Ki,K0)0

    for {Ki}i1Kn0 and K0Kn0.

    If the function f:η(0,) is continuous, the Wulff shape [f]Kn0 determined by f is a convex body defined by

    [f]=uη{xRn:xuf(u)}.

    Note that, if f=hK is a support function of convex body KKn0, one has

    [f]=K.

    Furthermore, if the function f:η(0,) is continuous, we have (see e.g., [17] p.95)

    [f]=1/f. (2.5)

    The Lp Minkowski combination is a basic concept in the Lp-Brunn-Minkowski theory. For each p1, the Minkowski-Firey Lp-combination K+pL introduced by Firey (see, e.g., [24]) can be defined by the support function as follows, i.e., for K,LKn0 and a,b>0

    hpaK+pbL=ahpK+bhpL.

    Now we fix p0. For K,LKn0 and a,b>0, we define the general Lp Minkowski combination, aK+pbLKn0, via the Wulff shape,

    aK+pbL=[(ahpK+bhpL)1/p].

    When p=0, we define aK+0bLKn0 via the Wulff shape,

    aK+0bL=[haKhbL]. (2.6)

    Note that "" is written without its subscript p.

    For any pR, Huang et al.[7] gave the definition of the Lp-harmonic combination (1λ)Kˆ+pλLKn0, i.e.,

    (1λ)Kˆ+pλL=((1λ)K+pλL). (2.7)

    Hence, together with (2.4)–(2.6), we obtain that

    [haKhbL]=ρaKρbL. (2.8)

    Let {Ki}i=1Kn0 and KKn0, combined with (2.4), this implies that

    KiK if and only if KiK. (2.9)

    For a convex body K in Rn, the Gauss image of σK is defined by

    ννK(σ)={vSn1:xHK(v) for some xσ}Sn1.

    The reverse Gauss image of ηSn1 is defined by

    ννK(η)={xK:xHK(v) for some vη}K.

    Let σK={x:xK is a singlar point}K. It is known that Hn1(σK)=0 (see, p.84 of Schneider [24]). The Gauss map of the convex body K is defined by

    νK:KσKSn1.

    From Lemma 2.2.12 of Schneider [24] we know that the Gauss map νK is continuous. The set ηKSn1 consisting of all vSn1, for which the set ννK({v}), abbreviated as ννK(v), contains more than a single element, is of Hn1-measure 0. The inverse Gauss map of the convex body K is defined by

    ν1K:Sn1ηKK,

    From Lemma 2.2.12 of Schneider [24] we also know that the function ν1K is continuous.

    For KKn0, define the radial map of the convex body K

    rK():Sn1K  by  rK(u)=ρK(u)uK,

    for uSn1. Note that r1K():KSn1 is the map r1K(x)=ˉx=x/|x|. For ωSn1, define the radial Gauss image of ω by

    ααK(ω)=ννK(rK(ω))Sn1.

    Thus, for uSn1

    ααK(u)={vSn1:rK(u)HK(v)}.

    Define the radial Gauss map of the convex body KKn0

    αK:Sn1ωKSn1 by αK=νKrK,

    where ωK={x/|x|:xσK}.

    Define the reverse radial Gauss image of ηSn1 by

    ααK:Sn1Sn1 by αα1K(η)=r1K(ννK(η)).

    The inverse radial Gauss map of the convex body KKn0 is defined by

    α1K:Sn1ηKSn1 by α1K=r1Kν1K.

    Note that since both r1K and ν1K are continuous, α1K is continuous.

    The integral curvature J(K,) of convex body KKn0 is defined by,

    J(K,ω)=Hn1(ααK(ω)), (2.10)

    for each Borel set ωSn1. The total integral curvature of convex body K, is the surface area of the unit sphere Sn1, thus J(K,Sn1)=κn. The concept of integral curvature was introduced by Aleksandrov.

    Following formula (2.10), and characteristic function I on Sn1, then

    Sn1Iω(u)dJ(K,u)=Sn1IααK(ω)(u)du=Sn1Iω(α1K(u))du, (2.11)

    the last identity holds from the fact that vααK(ω) if and only if α1Kω for almost all u with respect to the spherical Lebesgue measure (see (2.20) in [6]). Furthermore, from formula (2.11), we have that

    Sn1f(u)dJ(K,u)=Sn1f(αK(u))du (2.12)

    for each continuous function f on Sn1.

    Lemma 2.1. ([6] Lemma 2.2) Let KiKn0 be such that limiKi=K0Kn0. Let ω=i=0ωKi be the set (of Hn1-measure zero) off of which all of the αKi are defined. If uiSn1ω are such that limiui=u0Sn1ω, then limiαKi(ui)=αK0(u0).

    Lemma 2.2. ([6] Lemma 2.5) Let KKn0, then

    ααK(η)=ααK(η)

    for each ηSn1.

    Note that if KiK0 in the Hausdorff metric, then for all fC(Sn1), by formulas (2.9), (2.12), Lemmas 2.1 and 2.2, one has

    limiSn1f(u)dJ(Ki,u)=Sn1f(u)dJ(K0,u).

    This proves that the integral curvature J(K,) is weakly convergence measure.

    Lemma 2.3. ([12] Lemma 2.1) If a sequence of measures {μi}i=1 on Sn1 converges weakly to a finite measure μ on Sn1 and a sequence of functions {fi}i1C(Sn1) converges uniformly to a function f0C(Sn1), then

    limiSn1fi(u) dμi=Sn1f0(u) dμ.

    Thus, by Lemma 2.3, if {fi}i1C(Sn1) is uniformly convergent to f0C(Sn1) and {Ki}i1Kn0 converges to K0Kn0 in the Hausdorff metric, together with the weak convergence of J(K,), we have

    limiSn1fi(u) dJ(Ki,u)=Sn1f0(u) dJ(K0,u). (2.13)

    The Blaschke selection theorem is a powerful tool in convex geometry (see [5,24]) and will be often used in this paper. It reads: Every bounded sequence of convex bodies has a subsequence that converges to a convex set.

    We will also use the following lemmas in the proofs of our main results.

    Lemma 2.4. (see [12]) If {Ki}i1Kn0 is a bounded sequence and {|Ki|}i1 is also a bounded sequence, there is a subsequence {Kij}j1 of the sequence {Ki}i1 and a body KKn0 such that KijK. In addition, if |Ki|=ωn, then |K|=ωn.

    Lemma 2.5. (see [16]) Let {Ki}i1Kn0 be a convergent sequence with limit K0, i.e., KiK0 in the Hausdorff distance. If the sequence{|Ki|}i1 is bounded, then K0Kn0.

    In this section, we mainly prove some properties for the L0 mixed entropy. We now prove the continuity of the L0 mixed entropy as follows.

    Proposition 3.1. Let {Ki}i=0Kn0 and {Li}i=0Kn0 be two sequences of convex bodies such that KiK0Kn0 and LiL0Kn0 as i in the Hausdorff metric, then

    E0(Ki,Li)E0(K0,L0)   as  i.

    Proof. Since KiK0Kn0 and LiL0Kn0 as i in the Hausdorff metric, then J(Ki,) converges weakly to J(K0,) and the radial functions ρLi converges uniformly to ρL0, as i. And there are two constants r, R>0 such that for all i1,

    rBn2 LiRBn2.

    We have rρLiR, for all i1. Furthermore, together with the continuity of the logarithmic function on [r,R], we get

    logρLi(u)logρL0(u) uniformly on Sn1.

    By formula (2.13), one has

    limiE0(Ki,Li)=limiSn1logρLidJ(Ki,u)limiE0(Ki,Li)=Sn1logρL0dJ(K0,u)limiE0(Ki,Li)=E0(K0,L0).

    Proposition 3.2. Let {Ki}i=1Kn0 and KKn0 be regular convex bodies such that KiK as i in the Hausdorff metric. For {Li}i=1Kne, then {E0(Ki,Li)}i=1 is bounded and {Li}i=1 is uniformly bounded if and only if there exist α,r>0 such that for all i1

    rBn2Li and |Li|α.

    Proof. The boundedness of {E0(Ki,Li)}i=1 is equivalent to the boundedness of {E0(Ki,Li)}i=1, which shows that there are constants c and C such that cE0(Ki,Li)C for all i1.

    We first show that the sequence {Li}i=1 contains a small ball. For uiSn1, let

    Ri(ui)=max{ρLi(u):uSn1}.

    Since the sequence {Li}i=1 is bounded, there is a constant β>0, such that Ri(ui)β for all i, we have β1Bn2Li for all i. Hence

    |Li|ωnβn

    for all i.

    On the other hand, by the Blaschke selection theorem, there is a subsequence of {Li}i=1, for convenience, we still record it as {Li}i=1, and a compact convex set L0, such that LiL0 as i in the Hausdorff metric, the radial function sequence ρLi is uniformly continuous, we have that ρL0 is continuous, now we prove that L0 contains a small ball rBn2, if not, then there is a nonzero set ω and a sufficiently small real ϵ>0 such that ω={u:ρL0(u)<ϵ}, according to the regularity of the convex body K, we have J(K,ω)>0 and J(K,Sn1ω)logR<. Thus, by Proposition 3.1,

    climiE0(Ki,Li)=E0(K,L0)=Sn1logρL0(u)dJ(K,u)limiE(Ki,Li)E(K,L0)ωlogϵdJ(K,u)+Sn1ωlogρL0(u)dJ(K,u)limiE(Ki,Li)E(K,L0)J(K,ω)logϵ+J(K,Sn1ω)logR.

    Let ϵ0+, hence J(K,ω)logϵ, This is a contradiction to the boundedness of the mixed entropy E0(Ki,Li).

    Now we prove that the sequence {Li}i=1 is bounded. We let Ri(ui)=max{ρLi(u):uSn1} for some uiSn1. Since the sequence {Li}i=1 contains a small ball, there is a constant r>0 such that rBn2Li for all i1, let Qi be the convex hull of point Ri(ui)ui and rBn2|ui, i.e.,

    Qi=conv{Ri(ui)ui,rBn2|ui}.

    Obviously, QiLi, together with the monotonicity of volume and (1.3),

    |Li||Qi|=1nRi(ui)Vn1(rBn2|ui).

    By the Blaschke-Stantalˊo inequality, i.e., for LiKne,

    |Li||Li|ω2n.

    Combined with |Li|α, this implies that

    Ri(ui)=nVn1(rBn2|ui)|Qi|nVn1(rBn2|ui)|Li|nω2nαrn1ωn1, (3.1)

    for all i. Thus the sequence {Li}i=1 is bounded. There are two constants r,R>0 such that rBn2LiRBn2 for all i, together with (2.10), we know that J(Ki,Sn1)=κn, then for all i,

    κnlogRE0(Ki,Li)=Sn1logρLidJ(Ki,u)κnlogr.

    This shows that the sequence {E0(Ki,Li)}i=1 is bounded.

    Remark 1. According to the above proof of Proposition 3.2, if {Li}i=1Kne and some α>0 such that rBn2Li and |Li|α, then we can remove the condition that KKn0 is a regular convex body, we also obtain the results that {E0(Ki,Li)}i=1 is bounded and {Li}i=1 is uniformly bounded.

    Throughout this section, we suppose that KKn0, we mainly prove the existence and uniqueness of the Entropy-Petty body. For further discussion, we introduce the continuity of the geominimal integral curvature GE(K). We first define the geominimal integral curvature GE(K) as follows:

    Definition 4.1. Suppose KKn0 is a convex body, the geominimal integral curvature of K is defined by

    GE(K)=supL Kne{Sn1logρ(vrad(L)L,u)dJ(K,u)}˜GE(K)=sup{Sn1logρ(L,u)dJ(K,u):L Kne with |L|=ωn}.

    Remark 2. We show that the above definition is well defined. In fact, since |L|=ωn and LKne, by the Blaschke-Stantalˊo inequality, we have |L|ωn. Hence, by (2.1) and the Jensen inequality

    ωn1nSn1ρnL(u)duκnn(1κnSn1ρL(u)du)n.

    Hence Sn1ρL(u)du is uniformly bounded. In the next, we assume KKn0 is a regular convex body, by the concavity of Logarithmic function, we obtain that

    Sn1logρ(L,u)dJ(K,u)κnlog(1κnSn1ρ(L,u)dJ(K,u))=κnlog(1κnSn1ρ(L,u)du)<.

    For any KKn0, we choose a regular convex body sequence Ki such that KiK as i, combined with Proposition 3.1, this implies that

    Sn1logρ(L,u)dJ(K,u)<.

    Hence Definition 4.1 is well defined.

    In the next, we prove our mainly result Theorem 1.1.

    proof of Theorem 1.1. Firstly, we prove the existence. By Definition 4.1, there is a sequence {Mi}i=1Kne with |Mi|=ωn such that

    0=Sn1logρBn2(u)dJ(K,u)Sn1logρMi(u)dJ(K,u)<,for all i1.

    Let KKn0 be a regular convex body, we have

    0Sn1logρMi(u)dJ(K,u)=Sn1logρMi(u)du<.

    By formula (2.4), we get

    <Sn1loghMi(u)du0.

    Let Ri(ui)=max{ρMi(u):uSn1}, and since MiKne, we have [Ri(ui)ui,Ri(ui)ui]Mi. Hence h(Mi,u)Ri(ui)|uui| for all uSn1. Therefore

    κnlogRi(ui)+Sn1log|uui|duSn1loghMi(u)du0.

    Now, assume KKn0 is not a regular convex body, we can choose a regular convex body sequence Ki such that KiK as i, combined with Proposition 3.1, this implies that

    κnlogRi(ui)+Sn1log|uui|duSn1loghMi(u)dJ(K,u)0.

    Since the integral on the left is independent of ui, this implies that Ri(ui) is uniformly bounded. Hence, there exists r>0 such that rBn2Mi for all i1. By Proposition 3.2, the sequence {Mi}i=1 is bounded. By the Blaschke selection theorem, there is a subsequence, for convenience, it is still recorded it as {Mi}i=1, which converges to a compact convex set M. Since |Mi|=ωn, by Lemma 2.5, we have MKn0. Therefore MiKne, gives MKne. By Proposition 3.1, we obtain that

    GE(K)=limiSn1logρMi(u)dJ(K,u)=Sn1logρM(u)dJ(K,u) with |M|=ωn.

    Next, we prove the uniqueness of theorem in the plane R2. Assume that there are two convex bodies M1,M2K2e with |M1|=|M2|=π such that

    GE(K)=Sn1logρM1(u)dJ(K,u)=Sn1logρM2(u)dJ(K,u).

    Now we define a new set MRn about M1,M2 and together with (2.7), we have

    M=12M1ˆ+012M2=(12M1+012M2).

    Combining (2.3) and (2.8), we obtain M=ρ1/2M1ρ1/2M2, this together with M1,M2K2e implies that the function ρ(u)=ρ1/2M1(u)ρ1/2M2(u) is even function on Sn1. Hence MK2e and

    ρ(M,u)ρ(M1,u)12ρ(M2,u)12, for all uSn1. (4.1)

    Furthermore, by the log Brunn-Minkowski inequality in the plane (see [2]),

    |M|=|12M1+012M2||M1||M2|=π,

    with equality if and only if M1 and M2 are dilates or they are parallelograms with parallel sides. If M1 and M2 are dilates, we let M1=sM2 for real number s>0 and together with |M1|=s2|M2|, we have s=1, thus we see M1=M2, which can be checked that vrad(M)1, with equality if and only if M1=M2 or their polar bodies are parallelograms with parallel sides. By (4.1) and Definition 4.1, we have

    GE(K)S1logρ(vrad(M)M,u)dJ(K,u)GE(K)S1logρ(M,u)dJ(K,u)GE(K)S1log[ρ12(M1,u)ρ12(M2,u)]dJ(K,u)GE(K)=S112[logρM1(u)+logρM2(u)]dJ(K,u)GE(K)=GE(K).

    Hence, this forces vrad(M)=1 and then M1=M2 or their polar bodies are parallelograms with parallel sides.

    We will prove the continuity of GE(K) as follows:

    Theorem 4.1. Let {Ki}i=1Kn0 and KKn0 be such that KiK as i in the Hausdorff metric, then limiGE(Ki)=GE(K).

    Proof. Let {Ki}i=1Kn0 be such that KiKKn0 as i. For any fixed small ε>0, by Definition 4.1 and Proposition 3.1, there is a convex body Mε with |Mε|=ωn, we have

    GE(K)εE0(K,Mε)=limiE0(Ki,Mε)=lim infiE0(Ki,Mε)lim infiGE(Ki).

    Since ε>0 is arbitrary small, one has

    GE(K)lim infiGE(Ki). (4.2)

    We now assume that MiKne with |Mi|=ωn such that GE(Ki)=E0(Ki,Mi),

    0=Sn1logρBn2(u)dJ(Ki,u)Sn1logρMi(u)dJ(Ki,u)<,for all  i1.

    Since both the sequence E0(Ki,Mi) and {Mi}i=1 are bounded, the Blaschke selection theorem now yields that a subsequence {Mij}j=1 of {Mi}i=1 converges to some compact convex set M. But |Mij|=ωn, by LemmaS 2.4, 2.5, and MiKne, the set MKne is an origin-symmetric convex body and |(M)|=ωn. Together with the Definition 4.1, Proposition 3.1 and Theorem 1.1, we obtain

    GE(K)E0(K,M)=limiE0(Ki,Mi)=limiGE(Ki)=lim supiGE(Ki). (4.3)

    Combining (4.2) and (4.3), we complete the proof, i.e.,

    limiGE(Ki)=GE(K).

    In the following corollary, we show that if the convex body K is an origin-symmetric polytope, then the optimal problem has an origin-symmetric polytope solution.

    Corollary 4.1. Let KKne be a polytope with vertices u1,u2,,um. If MKne such that

    GE(K)=E0(K,M) with |M|=ωn,

    then M is a polytope with vertices v1,v2,,vm. Moreover, vi=λiui for λi>0, i{1,2,,m}.

    Proof. Let KKne be a polytope with vertK={u1,u2,,um} (m=2Nn+1). Obviously, {u1|u1|,,um|um|}Sn1 are not concentrated in any closed hemisphere of Sn1. Then the integral curvature measure J(K,) about convex body K is the discrete measure concentrated on {u1|u1|,,um|um|}Sn1. Let P be a polytope

    P=conv{ρ(M,ˉu1)ˉu1,ρ(M,ˉu2)ˉu2,,ρ(M,ˉum)ˉum}. (4.4)

    where ˉui=ui|ui|Sn1 for i=1,...m. Let uP,i=ρ(M,ˉui)ˉuiP be vertices of polytope P, then these are λi>0 such that uP,i=λiui for i{1,2,,m}.

    In the next, we only need prove P=M. By (4.4), we have ρ(P,ˉui)=ρ(M,ˉui) (1im) and PM. Thus

    vrad(P)vrad(M)=1.

    We obtain

    GE(K)=supLKne{Sn1log[vrad(L)ρ(L,u)]dJ(K,u)}GE(K)Sn1log[vrad(P)ρ(P,u)]dJ(K,u)GE(K)Sn1logρ(P,u)dJ(K,u)GE(K)=mi=1logρ(P,ˉui)J(K,{ˉui})GE(K)=mi=1logρ(M,ˉui)J(K,{ˉui})GE(K)=Sn1logρ(M,u)dJ(K,u)GE(K)=supLKne{Sn1log[vrad(L)ρ(L,u)]dJ(K,u)}GE(K)=GE(K).

    This shows that vrad(P)=vrad(M)=1. Hence we know that |M|=|P|. Thus P=M.

    In this paper, the geominimal integral curvature on the convex body is introduced. The existence and uniqueness of the geominimal integral curvature are proved. Some other properties for the geominimal integral curvature, such as continuity, are investigated.

    The author declares that they have no competing interests.

    This research is supported by Youth Thousand Talents Plan, Grant (No. GK202101008) and Postgraduate Innovation Team Project of Shaanxi Normal University (No. TD2020008Z).



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