Research article

The optimal problems for torsional rigidity

  • Received: 28 September 2020 Accepted: 25 January 2021 Published: 22 February 2021
  • MSC : 53A15, 52A39

  • In this paper, we consider the optimization problems associated with the nonhomogeneous and homogeneous Orlicz mixed torsional rigidities by investigating the properties of the corresponding mixed torsional rigidity. As the main results, the existence and the continuity of the solutions to these problems are proved.

    Citation: Jin Yang, Zhenzhen Wei. The optimal problems for torsional rigidity[J]. AIMS Mathematics, 2021, 6(5): 4597-4613. doi: 10.3934/math.2021271

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  • In this paper, we consider the optimization problems associated with the nonhomogeneous and homogeneous Orlicz mixed torsional rigidities by investigating the properties of the corresponding mixed torsional rigidity. As the main results, the existence and the continuity of the solutions to these problems are proved.



    The setting of this paper is in the n-dimensional Euclidean space Rn with inner product ,. A set of points K in Rn is convex if for all x,yK satisfying [x,y]K. If C,D are compact convex sets in Rn and λ0, the Minkowski sum of C and D is

    C+D={x+y:xC,yD},

    and the scalar product λC is λC={λx:xC}. Let K and K0 be the class of convex bodies (compact convex set with nonempty interior) and the class of convex bodies which contain the origin o in their interiors, respectively.

    The variation of volume of Minkowski sum of KK and the unit ball Bn2Rn is the classical Borel measure, that is, the surface area of the convex body K can be formulated as:

    S(K)=limε0|K+εBn2||K|ε,

    where |K| is the volume of K. More generally, for a fixed convex body Q, the relative surface area of a convex body K (relative to a convex body Q) can be given by

    S(K,Q)=limε0|K+εQ||K|ε. (1.1)

    However, if Q with |Q|=|Bn2| is taking over on K, then Petty (see [28]) considered the following optimization problem and provided the solution as follows: there exists a convex body M with |M|=|Bn2| such that

    S(K,M)=inf{S(K,Q):QK  with  |Q|=|Bn2|}, (1.2)

    where Q is the polar body of Q defined by Q={xRn:x,y1,forall yQ}. The minimum S(K,M) is called the geominimal surface area of K, denoted by G(K)=S(K,M) for geometric meaning, by Petty (see [28]).

    On the other hand, it has been proved that the variational formula (1.1) can be viewed as the integral formula of the mixed volume of convex bodies K and Q:

    V1(K,Q)=1nSn1hQ(u)dS(K,u), (1.3)

    where hQ is the support function of Q on the unit sphere Sn1 in Rn, i.e., hQ(u)=max{x,u:xQ} for any uSn1, and S(K,) is the surface area measure of K (see e.g., [1,7]). Combining (1.1), (1.2) and (1.3), one can conclude that the geominimal surface area G(K) of a convex body K can be written as

    G(K)=inf{nV1(K,Q):QK  with  |Q|=|Bn2|}. (1.4)

    Based on (1.4), Petty proved some affine isoperimetric inequalities for the geominimal surface area G(K) of a convex body K (see [28,29]). Along the development of the Lp Brunn-Minkowski theory (see e.g., [3,8,14,20,21,22,26,30,33,31]), the classical geominimal surface area was extended to Lp form by Lutwak (see [21] for p1) and Ye (see [35] for pR). One can also find more references for Lp geominimal surface area (see e.g., [17,38,41,44,45]). Recently, the Lp Brunn-Minkowski theory was extended to the Orlicz-Brunn-Minkowski theory by Lutwak, Yang and Zhang (see [23,24]), the Orlicz addition was also introduced by Gardner, Hug and Weil [9] and Xi, Jin and Leng [34], separately. This new theory is widely extended (see e.g., [2,4,9,10,11,12,13,18,27,36,43,46,47]). Simultaneously, the geominimal surface area is developed to Orlicz geominimal surface area (see e.g., [25,32,37,39,40]). Quite recently, the geominimal surface area associated with the capacity is also considered (see e.g., [15,19,42]).

    In [16], Li and Zhu proved the Orlicz version of the Hadamard variational formula for torsional rigidity, and introduced the Orlicz Lφ mixed torsional rigidity: for K,LK0 and a continuous function φ:(0,)(0,), define the Orlicz Lφ mixed torsional rigidity as follows

    τ1,φ(K,L)=1n+2Sn1φ(hL(u)hK(u))hK(u)dμτ(K,u), (1.5)

    where μτ is the torsional measure given in (2.5). Obviously, τ1,φ(,) is nonhomogeneous in its variables. Therefore, we introduce the definition of the homogeneous Orlicz mixed torsional rigidity in Section 3 as follows: for K,LK0 and a continuous function φ:(0,)(0,), we define the homogeneous Orlicz mixed torsional rigidity, denoted by ˆτ1,φ(K,L), of K and L as

    Sn1φ(τ(K)hL(u)ˆτ1,φ(K,L)hK(u))dμτ(K,u)=1,

    where μτ is a probability measure given by (2.7). In section 3, we will discuss some good properties for the nonhomogeneous and homogeneous Orlicz mixed torsional rigidities, such as the continuity of τ1,φ(,) and ˆτ1,φ(,).

    In Section 4, we consider the following optimization problems associated with τ1,φ(,) and ˆτ1,φ(,): under what conditions on φ, the following problems have solutions

    sup/inf{τ1,φ(K,L):LK0   and   |L|=|Bn2|};
    sup/inf{ˆτ1,φ(K,L):LK0   and  |L|=|Bn2|}.

    On the help of the properties of τ1,φ(,) and ˆτ1,φ(,), we prove that the above problems may be solvable. For example:

    Theorem 1.1. Suppose KK0 and φ:(0,)(0,) is a strictly increasing function with limt0+φ(t)=0, limtφ(t)= and φ(1)=1. The following statements hold:

    (ⅰ) There exists a convex body MK0 such that |M|=|Bn2| and

    τ1,φ(K,M)=inf{τ1,φ(K,L):LK0  and  |L|=|Bn2|}.

    (ⅱ) There exists a convex body ˆMK0 such that |ˆM|=|Bn2| and

    ˆτ1,φ(K,ˆM)=inf{ˆτ1,φ(K,L):LK0  and  |L|=|Bn2|}.

    In addition, both of M and ˆM are unique if φ is convex.

    The solutions M and ˆM in Theorem 1.1 are called the OrliczPetty bodies for torsionalrigidity. We use the set P1,φ(K) to denote the collection of convex bodies M, and the set ˆP1,φ(K) to denote the collection of convex bodies ˆM. For simplicity, we write

    Q1,φ(K)=τ1,φ(K,M)  and  ˆQ1,φ(K)=ˆτ1,φ(K,ˆM).

    Since the solutions M and ˆM are unique if φ is convex by Theorem 1.1, then the sets P1,φ(K) and ˆP1,φ(K) contain only one element and thus define two operators, we still use P1,φ(K) and ˆP1,φ(K) to denote these two operators. Thus the continuity of Q1,φ(K),ˆQ1,φ(K),ˆP1,φ(K) and P1,φ(K) can be obtained.

    Theorem 1.2. Let φ:(0,)(0,) be strictly increasing function with limt0+φ(t)=0, limtφ(t)= and φ(1)=1. Let {Ki}i=1K0 be a sequence that converges to KK0. Then, the following statements hold:

    (ⅰ) Q1,φ(Ki)Q1,φ(K) and ˆQ1,φ(Ki)ˆQ1,φ(K) as i.

    (ⅱ) If φ is convex, then P1,φ(Ki)P1,φ(K) and ˆP1,φ(Ki)ˆP1,φ(K) as i.

    A subset KRn is called convex if λx+(1λ)yK for any λ[0,1] and x,yK. A convex body is a convex compact subset of Rn with nonempty interior. Let K and K0 be the class of convex bodies and the class of convex bodies with the origin in their interiors, respectively. For K,LK, denoted by K+L, the Minkowski sum, is defined as K+L={x+y:xK,yL}. The scalar product of αR and KK, denote by αK, is defined as αK={αx:xK}. For KK, |K| denotes to the volume of K and |Bn2|=ωn denotes the volume of the unit ball Bn2 in Rn. For KK, the volume radius of K, is defined as

    vrad(K)=(|K|ωn)1n.

    For any KK0, the surface area measure S(K,) of K (see [1]), is defined as follows:

    S(K,A)=ν1K(A)dHn1, for any measurable subset ASn1, (2.1)

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

    Let C(Sn1) be the class of all continuous functions on Sn1. The following two Lemmas will be useful:

    Lemma 2.1. (see [19,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}i=1C(Sn1) converges uniformly to a function fC(Sn1), then

    limiSn1fidμi=Sn1fdμ.

    Lemma 2.2. (see [19,Lemma 2.2]) Let {Ki}i=1K0 be a uniformly bounded sequence such that the sequence {|Ki|}i=1 is bounded. Then, there exists a subsequence {Kij}j=1 of {Ki}i=1 and a convex body KK0 such that KijK. Moreover, if |Ki|=ωn for all i=1,2,, then |K|=ωn.

    Next we will introduce some basic concepts about the torsional rigidity which can be found in [6,16]. Suppose Cc(Rn) is the class of all infinitely differentiable functions on Rn with compact supports. The torsional rigidity of a convex body K, denote by τ(K), is defined as (see [5]):

    1τ(K)=inf{K|u(x)|2dx(K|u(x)|dx)2:uW1,20(intK) andK|u(x)|dx>0},

    where u is the gradient of u and W1,2(intK) (where intK is the interior of K) is appropriate for the Sobolev space of the functions in L2(intK) whose first-order weak derivatives belong to L2(intK), and W1,20(intK) denotes the closure of Cc(intK) in the Sobolev space W1,2(intK). Clearly, τ() is monotone by the definition. Namely, for K,LK, one has

    τ(K)τ(L) if KL. (2.2)

    Let KK, if u is the unique solution of the boundary-value problem

    {Δu=2in K   u=0on K, (2.3)

    then

    τ(K)=K|u(x)|2dx.

    The torsional rigidity is positively homogeneity of degree n+2, that is, τ(aK)=an+2τ(K), for any KK0 and a>0. The torsional measure μτ(K,) is a nonnegative Borel measure on Sn1 which can be defined as (see [6]): for any measurable subset ASn1,

    μτ(K,A)=ν1K(A)|u(x)|2dHn1(x). (2.4)

    For any a>0, it is easy to check that

    μτ(aK,)=an+1μτ(K,) on Sn1.

    In addition, μτ(K,) is not concentrated on any closed hemisphere of Sn1, that is,

    Sn1v,u+dμτ(K,u)>0 foranyvSn1,

    where v,u+=max{v,u,0}.

    From the previous definition (2.1) and (2.4), we have the following relation between μτ(K,) and S(K,) as follows:

    dμτ(K,v)=|u(ν1K(v))|2dS(K,v) forany vSn1. (2.5)

    By using the previous Borel measure, the integral formula of torsional rigidity τ was provided by Colesanti and Fimiani (see [6]) as follows: suppose KK with hK being the support function, then

    τ(K)=1n+2KhK(ν(x))|u(x)|2dHn1(x)=1n+2Sn1hK(v)dμτ(K,v), (2.6)

    where u is the solution of (2.3). For any KK0, by (2.6), denote μτ(K,) by a probability measure on Sn1

    μτ(K,)=1n+2hK()μτ(K,)τ(K) on Sn1. (2.7)

    Let I be the set of continuous functions φ:(0,)(0,), such that φ is strictly increasing with limt0+φ(t)=0, limtφ(t)= and φ(1)=1. Let D be the set of continuous functions φ:(0,)(0,), such that φ is strictly decreasing with limt0+φ(t)=, limtφ(t)=0 and φ(1)=1.

    The definition of the nonhomogeneous Orlicz Lφ mixed torsional rigidity was provided in [16] as follows.

    Definition 3.1. Let φID and K,LK0. The Orlicz Lφ mixed torsional rigidity of K and L, denoted by τ1,φ(K,L), is defined as

    τ1,φ(K,L)=1n+2Sn1φ(hL(u)hK(u))hK(u)dμτ(K,u).

    Clearly, τ1,φ(K,K)=τ(K) for any φID. In addition, for the particular example of the previous definition, it is easy to verify that

    τ1,φ(Bn2,cBn2)=φ(c)τ(Bn2),τ1,φ(cBn2,Bn2)=cn+2φ(c1)τ(Bn2)

    for any c>0. Thus τ1,φ(,) is nonhomogeneous if φ is nonhomogeneous. In this section, we introduce the homogeneous Orlicz Lφ mixed torsional rigidity as follows.

    Definition 3.2. Suppose φID and K,LK0. The homogeneous Orlicz Lφ mixed torsional rigidity of K and L, denoted by ˆτ1,φ(K,L), is defined as

    Sn1φ(τ(K)hL(u)ˆτ1,φ(K,L)hK(u))dμτ(K,u)=1. (3.1)

    Since μτ(K,) is a probability measure on Sn1 and φ(1)=1, then ˆτ1,φ(K,K)=τ(K) for KK0. By (3.1), it can be easily checked that the functional ˆτ1,φ(,) is homogeneous as follows.

    Corollary 3.1. Let K,LK0, and s,t>0. If φID, then

    ˆτ1,φ(sK,tL)=sn+1tˆτ1,φ(K,L).

    Next we will prove that τ1,φ(,) and ˆτ1,φ(,) are continuous on K0×K0.

    Theorem 3.1. Suppose {Ki}i=1,{Li}i=1K0 are two sequences of convex bodies, K,LK0 and φID. If KiK, LiL as i, then

    τ1,φ(Ki,Li)τ1,φ(K,L),ˆτ1,φ(Ki,Li)ˆτ1,φ(K,L),

    as i.

    Proof. Since Ki,LiK0, then KiK and LiL imply that h(Ki,)h(K,) uniformly and h(Li,)h(L,) uniformly on Sn1. These further imply that there exist r,R>0 with rR such that

    rBn2Ki,LiRBn2 for i1, (3.2)

    and

    hLi(u)hKi(u)[rR,Rr] for uSn1 and i1. (3.3)

    Together with the continuity of φ, we have

    φ(hLi(u)hKi(u))h(Ki,u)φ(hL(u)hK(u))h(K,u) uniformly on Sn1.

    The convergence KiK, also yields that

    μτ(Ki,)μτ(K,) weakly on Sn1.

    Combining with Lemma 2.1, we have

    1n+2Sn1φ(hLi(u)hKi(u))hKi(u)dμτ(Ki,u)1n+2Sn1φ(hL(u)hK(u))hK(u)dμτ(K,u).

    Therefore τ1,φ(Ki,Li)τ1,φ(K,L) as i.

    Next, we first prove ˆτ1,φ(Ki,Li)ˆτ1,φ(K,L) under the case φD. Since φ(1)=1, then τ(rBn2)τ(Ki)τ(RBn2) by (2.2). Together with (3.2) and (3.3), we have

    φ(τ(RBn2)Rˆτ1,φ(Ki,Li)r)φ(τ(Ki)hLi(u)ˆτ1,φ(Ki,Li)hK(u))φ(τ(rBn2)rˆτ1,φ(Ki,Li)R).

    Thus

    φ(τ(RBn2)Rˆτ1,φ(Ki,Li)r)Sn1φ(τ(Ki)hLi(u)ˆτ1,φ(Ki,Li)hKi(u))dμτ(Ki,u)=1φ(τ(rBn2)rˆτ1,φ(Ki,Li)R).

    Since φD and φ(1)=1, thus for i1,

    0<τ(rBn2)rRˆτ1,φ(Ki,Li)τ(RBn2)Rr<,

    i.e., ˆτ1,φ(Ki,Li) is bounded from above and below. Let

    X=lim infiˆτ1,φ(Ki,Li)>0,Y=lim supiˆτ1,φ(Ki,Li)<.

    So, there exist two subsequences {ˆτ1,φ(Kim,Lim)}m=1 and {ˆτ1,φ(Kin,Lin)}n=1 of ˆτ1,φ(Ki,Li) such that

    ˆτ1,φ(Kin,Lin)<n+1nX with limnˆτ1,φ(Kin,Lin)=X

    and

    ˆτ1,φ(Kim,Lim)>mm+1Y with limmˆτ1,φ(Kim,Lim)=Y

    for m,n1. Since φD, the Lemma 2.1 yields that,

    1=limmSn1φ(τ(Kim)hLim(u)ˆτ1,φ(Kim,Lim)hKim(u))dμτ(Kim,u)limmSn1φ((m+1)τ(Kim)hLim(u)mYhKim(u))dμτ(Kim,u)=Sn1φ(τ(K)hL(u)YhK(u))dμτ(K,u). (3.4)

    In the same manner, one can check that

    1Sn1φ(τ(K)hL(u)XhK(u))dμτ(K,u). (3.5)

    Combing (3.4) and (3.5), we have

    lim supiˆτ1,φ(Ki,Li)ˆτ1,φ(K,L)lim infiˆτ1,φ(Ki,Li).

    This, together with the fact that "liminflimsup", yields that ˆτ1,φ(Ki,Li)ˆτ1,φ(K,L) as i. As for φI, it can be obtained in the same way.

    Theorem 3.2. Suppose φI, {Ki}i=1K0 and KiKK0 as i. If {Mi}i=1K0 such that {τ1,φ(Ki,Mi)}i=1 or {ˆτ1,φ(Ki,Mi)}i=1 is bounded, then {Mi}i=1 is uniformly bounded.

    Proof. Since KiK, then hKi()hK() uniformly on Sn1, and μτ(Ki,)μτ(K,) weakly on Sn1, we have τ(Ki)τ(K) as i. Since μτ(K,) is not contained in a closed hemisphere of Sn1, so Sn1u,v+dμτ(K,u)>0, for vSn1. This implies that there exist n0N and a constant c0>0 such that

    Ωu,v+dμτ(K,u)c0,

    where Ω={uSn1:u,v+1n0}.

    In addition, there exist two numbers r0,R0>0 with r0R0 such that

    r0hKi(u),hK(u)R0

    for i1 and uSn1.

    Since MiK0, let Ri=max{ρMi(u):uSn1} for i1. Suppose that viSn1 with Ri=ρ(Mi,vi) for some i1. Then [0,Rivi]Mi, thus Riu,vi+hMi(u) for uSn1. Assume {Mi}i=1 is not uniformly bounded, i.e., supi1Ri=. As {τ1,φ(Ki,Mi)}i=1 is bounded, then there exists a positive constant c such that

    cτ1,φ(Ki,Mi)

    for i1.

    Let vivSn1 as i by the compactness of Sn1. Since φI is increasing, Definition 3.1 and Lemma 2.1, we have that for any constant T>0,

    clim infi1n+2Sn1φ(hMi(u)hKi(u))hKi(u)dμτ(Ki,u)lim infi1n+2Sn1φ(Riu,vi+R0)hKi(u)dμτ(Ki,u)lim infi1n+2Sn1φ(Tu,vi+R0)hKi(u)dμτ(Ki,u)1n+2Sn1lim infiφ(Tu,vi+R0)hK(u)dμτ(K,u)=1n+2Sn1φ(Tu,v+R0)hK(u)dμτ(K,u)r0n+2Sn1φ(Tu,v+R0)dμτ(K,u)r0n+2φ(TR0n0)Ωu,v+dμτ(K,u)c0r0n+2φ(TR0n0).

    Letting T, then c. This is a contradiction, which shows that {Mi}i=1 is uniformly bounded.

    Along the same line, one can check that {Mi}i=1 is uniformly bounded when {ˆτ1,φ(Ki,Mi)}i=1 is bounded.

    In this section, we will prove the existence, uniqueness and continuity of the Orlicz-Petty bodies for torsional rigidity. To do so, we study the following optimization problems for nonhomogeneous and homogeneous Orlicz Lφ mixed torsional rigidities:

    sup/inf{τ1,φ(K,L):LK0,|L|=ωn}; (4.1)
    sup/inf{ˆτ1,φ(K,L):LK0,|L|=ωn}. (4.2)

    The next theorem gives the existence of the solutions to the problems in (4.1) and (4.2).

    Theorem 4.1. Suppose that KK0 and φI. The following statements hold:

    (i) There exists a convex body MK0 with |M|=ωn and

    τ1,φ(K,M)=inf{τ1,φ(K,L):LK0,|L|=ωn}.

    (ii) There exists a convex body ˆMK0 with |ˆM|=ωn and

    ˆτ1,φ(K,ˆM)=inf{ˆτ1,φ(K,L):LK0,|L|=ωn}.

    Moreover, both of M and ˆM are unique if φI is convex.

    Proof. For simplicity, we write

    Q1,φ(K)=inf{τ1,φ(K,L):LK0,|L|=ωn}; (4.3)
    ˆQ1,φ(K)=inf{ˆτ1,φ(K,L):LK0,|L|=ωn}. (4.4)

    (ⅰ) By (4.3) and Definition 3.1, we have

    Q1,φ(K)τ1,φ(K,Bn2)<.

    Assume that {Mi}i=1K0 is an optimal sequence of (4.3), namely, τ1,φ(K,Mi)Q1,φ(K) as i and |Mi|=ωn for i1. Then {Mi}i=1 is uniformly bounded by Theorem 3.2. This together with Lemma 2.2, we have a subsequence {Mik}k=1 of {Mi}i=1 and MK0 such that MikM as k and |M|=ωn. By Theorem 3.1, we have

    Q1,φ(K)=limiτ1,φ(K,Mi)=limkτ1,φ(K,Mik)=τ1,φ(K,M).

    Hence M is a solution to (4.1).

    (ⅱ) By (4.4) and Definition 3.2, we have

    ˆQ1,φ(K)ˆτ1,φ(K,Bn2)<.

    Let {ˆMi}i=1K0 such that ˆτ1,φ(K,ˆMi)ˆQ1,φ(K) as i and |ˆMi|=ωn for i1. Then {ˆMi}i=1 is uniformly bounded by Theorem 3.2. This together with Lemma 2.2, we have a subsequence {ˆMik}k=1 of {ˆMi}i=1 and ˆMK0 such that ˆMikˆM as k and |ˆM|=ωn. Thus, Theorem 3.1 yields

    ˆQ1,φ(K)=limiˆτ1,φ(K,ˆMi)=limkˆτ1,φ(K,ˆMik)=ˆτ1,φ(K,ˆM).

    The proofs of the uniqueness of M and ˆM are similar, so we only provide the proof for M. Assume that M1,M2K0 and M1,M2 satisfy

    |M1|=|M2|=ωn, τ1,φ(K,M1)=Q1,φ(K)=τ1,φ(K,M2).

    Let N=(M1+M2)/2, by the Brunn-Minkowski inequality, vrad(N)1 with equality if and only if M1=M2. By the monotonicity and convexity of φ, one has

    Q1,φ(K)τ1,φ(K,vrad(N)N)=1n+2Sn1φ(vrad(N)hN(u)hK(u))hK(u)dμτ(K,u)1n+2Sn1φ(hN(u)hK(u))hK(u)dμτ(K,u)1n+2Sn1[12φ(hM1(u)hK(u))hK(u)+12φ(hM2(u)hK(u))hK(u)]dμτ(K,u)=τ1,φ(K,M1)+τ1,φ(K,M2)2=Q1,φ(K).

    This shows that vrad(N)=1, or equivalently M1=M2.

    We call the solutions M and ˆMOrliczPetty bodies for torsional rigidity. Following the idea of Petty, we call the minimums Q1,φ(K)=τ1,φ(K,M) and ˆQ1,φ(K)=ˆτ1,φ(K,ˆM) the corresponding geominimal surface area for torsional rigidity. We use P1,φ() and ˆP1,φ() to denote the sets of M and ˆM, respectively.

    Definition 4.1. Suppose that KK0 and φI. Define the set

    P1,φ(K)={MK0:|M|=ωn and τ1,φ(K,M)=Q1,φ(K)}.

    Analogously, define the set

    ˆP1,φ(K)={ˆMK0:|ˆM|=ωn and ˆτ1,φ(K,ˆM)=ˆQ1,φ(K)}.

    Obviously, the sets P1,φ(K) and ˆP1,φ(K) are nonempty which follow from Theorem 4.1 if φI. Since P1,φ(K) and ˆP1,φ(K) contain one element if φI is convex, P1,φ:K0K0 and ˆP1,φ:K0K0 define two operators on K0. The next theorem shows the continuity of Q1,φ(), ˆQ1,φ(), P1,φ() and ˆP1,φ().

    Theorem 4.2. Let φI and {Ki}i=1K0 and KK0 be such that KiK as i. The following statements hold:

    (i) Q1,φ(Ki)Q1,φ(K) and ˆQ1,φ(Ki)ˆQ1,φ(K) as i.

    (ii) If φI is convex, then P1,φ(Ki)P1,φ(K) and ˆP1,φ(Ki)ˆP1,φ(K) as i.

    Proof. (ⅰ) First of all, we will show that Q1,φ(Ki)Q1,φ(K) as i. If MP1,φ(K) and MiP1,φ(Ki) for i1, then Theorem 3.1 and (4.3) yields that

    Q1,φ(K)=τ1,φ(K,M)=limiτ1,φ(Ki,M)=lim supiτ1,φ(Ki,M)lim supiQ1,φ(Ki). (4.5)

    Thus, {Q1,φ(Ki)}i=1 is bounded. Since Q1,φ(Ki)=τ1,φ(Ki,Mi) for i1, then {Mi}i=1 is uniformly bounded by Theorem 3.2. Let {Mik}k=1{Mi}i=1 be a bounded subsequence such that

    limkQ1,φ(Kik)=lim infiQ1,φ(Ki).

    Since {Mik}k=1 is uniformly bounded, and by Lemma 2.2, there exist a subsequence {Mikj}j=1{Mik}k=1 and M0K0 such that MikjM0 as j and |M0|=ωn. Hence, Theorem 3.1 leads to

    lim infiQ1,φ(Ki)=limjQ1,φ(Kikj)=limjτ1,φ(Kikj,Mikj)=τ1,φ(K,M0)Q1,φ(K). (4.6)

    Combining (4.5) with (4.6), we have

    Q1,φ(K)=limiQ1,φ(Ki). (4.7)

    Next, we prove that ˆQ1,φ(Ki)ˆQ1,φ(K) as i. Let ˆMˆP1,φ(K) and ˆMiˆP1,φ(Ki) for i1. By Theorem 3.1 and (4.4), we have

    ˆQ1,φ(K)=ˆτ1,φ(K,ˆM)=limiˆτ1,φ(Ki,ˆM)=lim supiˆτ1,φ(Ki,ˆM)lim supiˆQ1,φ(Ki). (4.8)

    This leads to {ˆQ1,φ(Ki)}i=1 is bounded. It follows from Theorem 3.2 and ˆQ1,φ(Ki)=ˆτ1,φ(Ki,ˆMi) for i1 that {ˆMi}i=1 is uniformly bounded. Let {Kil}l=1{Ki}i=1 be a subsequence such that

    limlˆQ1,φ(Kil)=lim infiˆQ1,φ(Ki).

    Since {ˆMil}l=1 is uniformly bounded, and by Lemma 2.2, there exists a subsequence {ˆMilj}j=1 of {ˆMil}l=1 and ˆM0K0 such that ˆMiljˆM0 as j and |^M0|=ωn. Thus

    limiinfˆQ1,φ(Ki)=limjˆQ1,φ(Kilj)=limjˆτ1,φ(Kilj,ˆMilj)=ˆτ1,φ(K,ˆM0)ˆQ1,φ(K). (4.9)

    From (4.8) and (4.9), one concludes that

    ˆQ1,φ(K)=limiˆQ1,φ(Ki). (4.10)

    (ⅱ) Assume that φI is convex. By Theorem 4.1, P1,φ(K), P1,φ(Ki), ˆP1,φ(K) and ˆP1,φ(Ki) contain one element which will be denoted by M, Mi, ˆM and ˆMi for i1, respectively. Let {Mik}k=1{Mi}i=1 and {ˆMil}l=1{ˆMi}i=1. By (4.7) and (4.10)

    Q1,φ(K)=limkQ1,φ(Kik)=limkτ1,φ(Kik,Mik); (4.11)
    ˆQ1,φ(K)=limlˆQ1,φ(Kil)=limkˆτ1,φ(Kil,ˆMil). (4.12)

    It follows that {τ1,φ(Kik,Mik)}k=1 and {ˆτ1,φ(Kil,ˆMil)}l=1 are uniformly bounded. Thus, by Theorem 3.2, {Mik}k=1 and {ˆMil}l=1 are bounded. By Lemma 2.2, there exist subsequences {Mikj1}j1=1{Mik}k=1 and {ˆMilj2}j2=1{ˆMil}l=1, respectively, and S,IK0 such that Mikj1S, ˆMilj2I, and |S|=|I|=ωn. By Theorem 3.1, (4.11) and (4.12), we have

    Q1,φ(K)=limj1Q1,φ(Kikj1)=limj1τ1,φ(Kikj1,Mikj1)=τ1,φ(K,S);
    ˆQ1,φ(K)=limj2ˆQ1,φ(Kilj2)=limj2ˆτ1,φ(Kilj2,ˆMilj2)=ˆτ1,φ(K,I).

    It follows that M=S and ˆM=I. That is, MiM and ^MiˆM as i.

    The following proposition shows that the Orlicz-Petty bodies for torsional rigidity of polytopes are still polytopes.

    Proposition 4.1. If φI and KK0 is a polytope, then the elements in P1,φ(K) and ˆP1,φ(K) are polytopes with faces parallel to those of K.

    Proof. Since K is a polytope, then S(K,) must be concentrated on a finite subset {u1,u2,,um}Sn1. By (2.5), the torsional measure μτ(K,) is also concentrated on {u1,u2,,um}. If MP1,φ(K), then let P1 be a polytope with {u1,u2,,um} as the unit normal vectors of its faces such that P1=1im{xRn:x,uihM(ui)}. Therefore, we have hP1(ui)=hM(ui) (1im). Then

    τ1,φ(K,P1)=1n+2Sn1φ(hP1(u)hK(u))hK(u)dμτ(K,u)=1n+2mi=1φ(hP1(ui)hK(ui))hK(ui)μτ(K,{ui})=1n+2mi=1φ(hM(ui)hK(ui))hK(ui)μτ(K,{ui})=1n+2Sn1φ(hM(u)hK(u))hK(u)dμτ(K,u)=τ1,φ(K,M).

    By (4.3), we have

    τ1,φ(K,P1)=τ1,φ(K,M)=Q1,φ(K)τ1,φ(K,vrad(P1)P1).

    Since φ is strictly increasing, then vrad(P1)1. The inclusion P1M shows that vrad(P1)vrad(M)=1. Hence, |P1|=|M|. Then M=P1, that is, each MP1,φ(K) is a polytope with faces parallel to those of K.

    Using the same method, one can prove that each ˆMˆP1,φ(K) is a polytope with faces parallel to those of K.

    Finally, we list some counterexamples to show that the problems (4.1) and (4.2) may not be solvable in general case.

    Proposition 4.2. Let KK0 be a polytope with surface area measure S(K,) being concentrated on a finite subset {u1,u2,,um}Sn1.

    (i) If φD and the jth coordinates of u1,u2,,um are nonzero, then

    inf{τ1,φ(K,L):LK0 and |L|=ωn}=0;sup{ˆτ1,φ(K,L):LK0 and |L|=ωn}=.

    (ii) If φI, then

    sup{τ1,φ(K,L):LK0 and |L|=ωn}=sup{ˆτ1,φ(K,L):LK0 and |L|=ωn}=.

    Proof. (ⅰ) Let bj=min1im{|(ui)j|} be the jth coordinate of ui (1im and 1jn), by assumption, bj>0. Then there exists a constant b>0 such that bjb for all 1jn. Since K is a polytope with u1,u2,,um as the unit normal vectors of its faces, we know that K is bounded, then there exists a constant c>0 such that hK(ui)c for 1im. For any d>0, we write

    Td=diag(d,,d,1,d,,d) and Ld=d1nnTdBn2,

    where 1 is in the jth column of the matrix Td. Then, Ld=dn1n(Ttd)1Bn2 and |Ld|=ωn. It is easily check that,

    |Tdui|=d2(ui)21++(ui)2j++d2(ui)2n|(ui)j|b

    for 1im. Thus,

    hLd(ui)=maxv1Ldv1,ui=maxv2Bn2Tdv2d1nn,ui=d1nnmaxv2Bn2v2,Tdui=d1nn|Tdui|bdn1n.

    Due to φD is decreasing, so

    1n+2Sn1φ(hLd(u)hK(u))hK(u)dμτ(K,u)=1n+2mi=1φ(hLd(ui)hK(ui))hK(ui)μτ(K,{ui})1n+2mi=1φ(1cbdn1n)cμτ(K,{ui})=cn+2φ(bcdn1n)μτ(K,Sn1).

    Since φ(b/cdn1n)0 as d0\ by the monotonicity of φ, then

    inf{τ1,φ(K,L):LK0 and |L|=ωn}cn+2φ(bcdn1n)μτ(K,Sn1)0 as d0.

    Similarly, we can check that sup{ˆτ1,φ(K,L):LK0 and |L|=ωn}= if φD.

    (ⅱ) Firstly, suppose that μτ(K,{u1})>0. Since KK0, then there exists a positive number c1 such that hK(ui)c1>0 as 1im. Since K is a polytope with u1,u2,,um as the unit normal vectors of its faces, then K is bounded, namely, there exists a constant c0>0 such that hK(ui)c0 for 1im. By the Schmidt orthogonalization, it can be found an orthogonal matrix TO(n) with u1 as its first column vector. For any d>0, let

    Td=Tdiag(d1,d,1,1,,1)Tt and Ld=TdBn2.

    It follows that, |Ld|=ωn and

    hLd(u1)=maxv1Ldv1,u1=maxv2Bn2Tdv2,u1=maxv2Bn2v2,Tdu1=maxv2Bn2v2,d1u1=1d.

    Then

    1n+2Sn1φ(hLd(u)hK(u))hK(u)dμτ(K,u)=1n+2mi=1φ(hLd(ui)hK(ui))hK(ui)μτ(K,{ui})1n+2φ(hLd(u1)hK(u1))hK(u1)μτ(K,{u1})1n+2φ(1c01d)hK(u1)μτ(K,{u1})c1n+2φ(1c01d)μτ(K,{u1}).

    Sinse φ is increasing, then

    sup{τ1,φ(K,L):LK0 and |L|=ωn}= as d0.

    Similarly, one can check that sup{ˆτ1,φ(K,L):LK0 and |L|=ωn}= under the condition that φI.

    In this paper, we introduce the definition of the homogeneous Orlicz mixed torsional rigidities and obtain some properties of the nonhomogeneous and homogeneous Orlicz mixed torsional rigidities. Then we consider the optimization problems about the corresponding mixed torsional rigidity. As the main results, we prove the existence and the continuity of the solutions to these problems.

    We declare that we have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

    This paper is supported in part by the National Natural Science Foundation of China (No. 11971005).



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