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,y∈K satisfying [x,y]⊆K. If C,D are compact convex sets in Rn and λ≥0, the Minkowski sum of C and D is
C+D={x+y:x∈C,y∈D}, |
and the scalar product λC is λC={λx:x∈C}. 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 K∈K and the unit ball Bn2⊂Rn is the classical Borel measure, that is, the surface area of the convex body K can be formulated as:
S(K)=limε→0|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)=limε→0|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):Q∈K with |Q∘|=|Bn2|}, | (1.2) |
where Q∘ is the polar body of Q defined by Q∘={x∈Rn:⟨x,y⟩≤1,forall y∈Q}. 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)=1n∫Sn−1hQ(u)dS(K,u), | (1.3) |
where hQ is the support function of Q on the unit sphere Sn−1 in Rn, i.e., hQ(u)=max{⟨x,u⟩:x∈Q} for any u∈Sn−1, 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):Q∈K 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 p≥1) and Ye (see [35] for p∈R). 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,L∈K0 and a continuous function φ:(0,∞)→(0,∞), define the Orlicz Lφ mixed torsional rigidity as follows
τ1,φ(K,L)=1n+2∫Sn−1φ(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,L∈K0 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
∫Sn−1φ(τ(K)⋅hL(u)ˆτ1,φ(K,L)⋅hK(u))dμ∗τ(K,u)=1, |
where μ∗τ 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):L∈K0 and |L∘|=|Bn2|}; |
sup/inf{ˆτ1,φ(K,L):L∈K0 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 K∈K0 and φ:(0,∞)→(0,∞) is a strictly increasing function with limt→0+φ(t)=0, limt→∞φ(t)=∞ and φ(1)=1. The following statements hold:
(ⅰ) There exists a convex body M∈K0 such that |M∘|=|Bn2| and
τ1,φ(K,M)=inf{τ1,φ(K,L):L∈K0 and |L∘|=|Bn2|}. |
(ⅱ) There exists a convex body ˆM∈K0 such that |ˆM∘|=|Bn2| and
ˆτ1,φ(K,ˆM)=inf{ˆτ1,φ(K,L):L∈K0 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 Orlicz−Petty 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 limt→0+φ(t)=0, limt→∞φ(t)=∞ and φ(1)=1. Let {Ki}∞i=1⊆K0 be a sequence that converges to K∈K0. 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 K⊆Rn is called convex if λx+(1−λ)y∈K for any λ∈[0,1] and x,y∈K. 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,L∈K, denoted by K+L, the Minkowski sum, is defined as K+L={x+y:x∈K,y∈L}. The scalar product of α∈R and K∈K, denote by αK, is defined as αK={αx:x∈K}. For K∈K, |K| denotes to the volume of K and |Bn2|=ωn denotes the volume of the unit ball Bn2 in Rn. For K∈K, the volume radius of K, is defined as
vrad(K)=(|K|ωn)1n. |
For any K∈K0, the surface area measure S(K,⋅) of K (see [1]), is defined as follows:
S(K,A)=∫ν−1K(A)dHn−1, for any measurable subset A⊆Sn−1, | (2.1) |
where ν−1K:Sn−1→∂K (where ∂ denotes the boundary) is the inverse Gauss map and Hn−1 is the (n−1)-dimensional Hausdorff measure on ∂K.
Let C(Sn−1) be the class of all continuous functions on Sn−1. The following two Lemmas will be useful:
Lemma 2.1. (see [19,Lemma 2.1]) If a sequence of measures {μi}∞i=1 on Sn−1 converges weakly to a finite measure μ on Sn−1 and a sequence of functions {fi}∞i=1⊆C(Sn−1) converges uniformly to a function f∈C(Sn−1), then
limi→∞∫Sn−1fidμi=∫Sn−1fdμ. |
Lemma 2.2. (see [19,Lemma 2.2]) Let {Ki}∞i=1⊆K0 be a uniformly bounded sequence such that the sequence {|K∘i|}∞i=1 is bounded. Then, there exists a subsequence {Kij}∞j=1 of {Ki}∞i=1 and a convex body K∈K0 such that Kij→K. Moreover, if |K∘i|=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 C∞c(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:u∈W1,20(intK) and∫K|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 C∞c(intK) in the Sobolev space W1,2(intK). Clearly, τ(⋅) is monotone by the definition. Namely, for K,L∈K, one has
τ(K)≤τ(L) if K⊆L. | (2.2) |
Let K∈K, 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 K∈K0 and a>0. The torsional measure μτ(K,⋅) is a nonnegative Borel measure on Sn−1 which can be defined as (see [6]): for any measurable subset A⊆Sn−1,
μτ(K,A)=∫ν−1K(A)|∇u(x)|2dHn−1(x). | (2.4) |
For any a>0, it is easy to check that
μτ(aK,⋅)=an+1μτ(K,⋅) on Sn−1. |
In addition, μτ(K,⋅) is not concentrated on any closed hemisphere of Sn−1, that is,
∫Sn−1⟨v,u⟩+dμτ(K,u)>0 foranyv∈Sn−1, |
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(ν−1K(v))|2dS(K,v) forany v∈Sn−1. | (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 K∈K with hK being the support function, then
τ(K)=1n+2∫∂KhK(ν(x))|∇u(x)|2dHn−1(x)=1n+2∫Sn−1hK(v)dμτ(K,v), | (2.6) |
where u is the solution of (2.3). For any K∈K0, by (2.6), denote μ∗τ(K,⋅) by a probability measure on Sn−1
μ∗τ(K,⋅)=1n+2⋅hK(⋅)μτ(K,⋅)τ(K) on Sn−1. | (2.7) |
Let I be the set of continuous functions φ:(0,∞)→(0,∞), such that φ is strictly increasing with limt→0+φ(t)=0, limt→∞φ(t)=∞ and φ(1)=1. Let D be the set of continuous functions φ:(0,∞)→(0,∞), such that φ is strictly decreasing with limt→0+φ(t)=∞, limt→∞φ(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 φ∈I∪D and K,L∈K0. The Orlicz Lφ mixed torsional rigidity of K and L, denoted by τ1,φ(K,L), is defined as
τ1,φ(K,L)=1n+2∫Sn−1φ(hL(u)hK(u))hK(u)dμτ(K,u). |
Clearly, τ1,φ(K,K)=τ(K) for any φ∈I∪D. 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(c−1)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 φ∈I∪D and K,L∈K0. The homogeneous Orlicz Lφ mixed torsional rigidity of K and L, denoted by ˆτ1,φ(K,L), is defined as
∫Sn−1φ(τ(K)hL(u)ˆτ1,φ(K,L)hK(u))dμ∗τ(K,u)=1. | (3.1) |
Since μ∗τ(K,⋅) is a probability measure on Sn−1 and φ(1)=1, then ˆτ1,φ(K,K)=τ(K) for K∈K0. By (3.1), it can be easily checked that the functional ˆτ1,φ(⋅,⋅) is homogeneous as follows.
Corollary 3.1. Let K,L∈K0, and s,t>0. If φ∈I∪D, then
ˆτ1,φ(sK,tL)=sn+1⋅t⋅ˆτ1,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=1⊆K0 are two sequences of convex bodies, K,L∈K0 and φ∈I∪D. If Ki→K, Li→L as i→∞, then
τ1,φ(Ki,Li)→τ1,φ(K,L),ˆτ1,φ(Ki,Li)→ˆτ1,φ(K,L), |
as i→∞.
Proof. Since Ki,Li∈K0, then Ki→K and Li→L imply that h(Ki,⋅)→h(K,⋅) uniformly and h(Li,⋅)→h(L,⋅) uniformly on Sn−1. These further imply that there exist r,R>0 with r≤R such that
rBn2⊆Ki,Li⊆RBn2 for i≥1, | (3.2) |
and
hLi(u)hKi(u)∈[rR,Rr] for u∈Sn−1 and i≥1. | (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 Sn−1. |
The convergence Ki→K, also yields that
μτ(Ki,⋅)→μτ(K,⋅) weakly on Sn−1. |
Combining with Lemma 2.1, we have
1n+2∫Sn−1φ(hLi(u)hKi(u))hKi(u)dμτ(Ki,u)→1n+2∫Sn−1φ(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 φ∈D. 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)≤∫Sn−1φ(τ(Ki)hLi(u)ˆτ1,φ(Ki,Li)hKi(u))dμ∗τ(Ki,u)=1≤φ(τ(rBn2)rˆτ1,φ(Ki,Li)R). |
Since φ∈D and φ(1)=1, thus for i≥1,
0<τ(rBn2)⋅rR≤ˆτ1,φ(Ki,Li)≤τ(RBn2)⋅Rr<∞, |
i.e., ˆτ1,φ(Ki,Li) is bounded from above and below. Let
X=lim infi→∞ˆτ1,φ(Ki,Li)>0,Y=lim supi→∞ˆτ1,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 limn→∞ˆτ1,φ(Kin,Lin)=X |
and
ˆτ1,φ(Kim,Lim)>mm+1Y with limm→∞ˆτ1,φ(Kim,Lim)=Y |
for m,n≥1. Since φ∈D, the Lemma 2.1 yields that,
1=limm→∞∫Sn−1φ(τ(Kim)hLim(u)ˆτ1,φ(Kim,Lim)hKim(u))dμ∗τ(Kim,u)≥limm→∞∫Sn−1φ((m+1)τ(Kim)hLim(u)mYhKim(u))dμ∗τ(Kim,u)=∫Sn−1φ(τ(K)hL(u)YhK(u))dμ∗τ(K,u). | (3.4) |
In the same manner, one can check that
1≤∫Sn−1φ(τ(K)⋅hL(u)X⋅hK(u))dμ∗τ(K,u). | (3.5) |
Combing (3.4) and (3.5), we have
lim supi→∞ˆτ1,φ(Ki,Li)≤ˆτ1,φ(K,L)≤lim infi→∞ˆτ1,φ(Ki,Li). |
This, together with the fact that "liminf≤limsup", yields that ˆτ1,φ(Ki,Li)→ˆτ1,φ(K,L) as i→∞. As for φ∈I, it can be obtained in the same way.
Theorem 3.2. Suppose φ∈I, {Ki}∞i=1⊆K0 and Ki→K∈K0 as i→∞. If {Mi}∞i=1⊆K0 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 Ki→K, then hKi(⋅)→hK(⋅) uniformly on Sn−1, and μτ(Ki,⋅)→μτ(K,⋅) weakly on Sn−1, we have τ(Ki)→τ(K) as i→∞. Since μτ(K,⋅) is not contained in a closed hemisphere of Sn−1, so ∫Sn−1⟨u,v⟩+dμτ(K,u)>0, for v∈Sn−1. This implies that there exist n0∈N and a constant c0>0 such that
∫Ω⟨u,v⟩+dμτ(K,u)≥c0, |
where Ω={u∈Sn−1:⟨u,v⟩+≥1n0}.
In addition, there exist two numbers r0,R0>0 with r0≤R0 such that
r0≤hKi(u),hK(u)≤R0 |
for i≥1 and u∈Sn−1.
Since Mi∈K0, let Ri=max{ρMi(u):u∈Sn−1} for i≥1. Suppose that vi∈Sn−1 with Ri=ρ(Mi,vi) for some i≥1. Then [0,Rivi]⊂Mi, thus Ri⟨u,vi⟩+≤hMi(u) for u∈Sn−1. Assume {Mi}∞i=1 is not uniformly bounded, i.e., supi≥1Ri=∞. As {τ1,φ(Ki,Mi)}∞i=1 is bounded, then there exists a positive constant c such that
c≥τ1,φ(Ki,Mi) |
for i≥1.
Let vi→v∈Sn−1 as i→∞ by the compactness of Sn−1. Since φ∈I is increasing, Definition 3.1 and Lemma 2.1, we have that for any constant T>0,
c≥lim infi→∞1n+2∫Sn−1φ(hMi(u)hKi(u))hKi(u)dμτ(Ki,u)≥lim infi→∞1n+2∫Sn−1φ(Ri⟨u,vi⟩+R0)hKi(u)dμτ(Ki,u)≥lim infi→∞1n+2∫Sn−1φ(T⋅⟨u,vi⟩+R0)hKi(u)dμτ(Ki,u)≥1n+2∫Sn−1lim infi→∞φ(T⋅⟨u,vi⟩+R0)hK(u)dμτ(K,u)=1n+2∫Sn−1φ(T⋅⟨u,v⟩+R0)hK(u)dμτ(K,u)≥r0n+2∫Sn−1φ(T⋅⟨u,v⟩+R0)dμτ(K,u)≥r0n+2φ(TR0n0)∫Ω⟨u,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):L∈K0,|L∘|=ωn}; | (4.1) |
sup/inf{ˆτ1,φ(K,L):L∈K0,|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 K∈K0 and φ∈I. The following statements hold:
(i) There exists a convex body M∈K0 with |M∘|=ωn and
τ1,φ(K,M)=inf{τ1,φ(K,L):L∈K0,|L∘|=ωn}. |
(ii) There exists a convex body ˆM∈K0 with |ˆM∘|=ωn and
ˆτ1,φ(K,ˆM)=inf{ˆτ1,φ(K,L):L∈K0,|L∘|=ωn}. |
Moreover, both of M and ˆM are unique if φ∈I is convex.
Proof. For simplicity, we write
Q1,φ(K)=inf{τ1,φ(K,L):L∈K0,|L∘|=ωn}; | (4.3) |
ˆQ1,φ(K)=inf{ˆτ1,φ(K,L):L∈K0,|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=1⊆K0 is an optimal sequence of (4.3), namely, τ1,φ(K,Mi)→Q1,φ(K) as i→∞ and |M∘i|=ωn for i≥1. 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 M∈K0 such that Mik→M as k→∞ and |M∘|=ωn. By Theorem 3.1, we have
Q1,φ(K)=limi→∞τ1,φ(K,Mi)=limk→∞τ1,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=1⊆K0 such that ˆτ1,φ(K,ˆMi)→ˆQ1,φ(K) as i→∞ and |ˆM∘i|=ωn for i≥1. 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 ˆM∈K0 such that ˆMik→ˆM as k→∞ and |ˆM∘|=ωn. Thus, Theorem 3.1 yields
ˆQ1,φ(K)=limi→∞ˆτ1,φ(K,ˆMi)=limk→∞ˆτ1,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,M2∈K0 and M1,M2 satisfy
|M∘1|=|M∘2|=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+2∫Sn−1φ(vrad(N∘)⋅hN(u)hK(u))hK(u)dμτ(K,u)≤1n+2∫Sn−1φ(hN(u)hK(u))hK(u)dμτ(K,u)≤1n+2∫Sn−1[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 ˆMOrlicz−Petty 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 K∈K0 and φ∈I. Define the set
P1,φ(K)={M∈K0:|M∘|=ωn and τ1,φ(K,M)=Q1,φ(K)}. |
Analogously, define the set
ˆP1,φ(K)={ˆM∈K0:|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 φ∈I. Since P1,φ(K) and ˆP1,φ(K) contain one element if φ∈I is convex, P1,φ:K0→K0 and ˆP1,φ:K0→K0 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 φ∈I and {Ki}∞i=1⊆K0 and K∈K0 be such that Ki→K as i→∞. The following statements hold:
(i) Q1,φ(Ki)→Q1,φ(K) and ˆQ1,φ(Ki)→ˆQ1,φ(K) as i→∞.
(ii) If φ∈I 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 M∈P1,φ(K) and Mi∈P1,φ(Ki) for i≥1, then Theorem 3.1 and (4.3) yields that
Q1,φ(K)=τ1,φ(K,M)=limi→∞τ1,φ(Ki,M)=lim supi→∞τ1,φ(Ki,M)≥lim supi→∞Q1,φ(Ki). | (4.5) |
Thus, {Q1,φ(Ki)}∞i=1 is bounded. Since Q1,φ(Ki)=τ1,φ(Ki,Mi) for i≥1, then {Mi}∞i=1 is uniformly bounded by Theorem 3.2. Let {Mik}∞k=1⊆{Mi}∞i=1 be a bounded subsequence such that
limk→∞Q1,φ(Kik)=lim infi→∞Q1,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 M0∈K0 such that Mikj→M0 as j→∞ and |M∘0|=ωn. Hence, Theorem 3.1 leads to
lim infi→∞Q1,φ(Ki)=limj→∞Q1,φ(Kikj)=limj→∞τ1,φ(Kikj,Mikj)=τ1,φ(K,M0)≥Q1,φ(K). | (4.6) |
Combining (4.5) with (4.6), we have
Q1,φ(K)=limi→∞Q1,φ(Ki). | (4.7) |
Next, we prove that ˆQ1,φ(Ki)→ˆQ1,φ(K) as i→∞. Let ˆM∈ˆP1,φ(K) and ˆMi∈ˆP1,φ(Ki) for i≥1. By Theorem 3.1 and (4.4), we have
ˆQ1,φ(K)=ˆτ1,φ(K,ˆM)=limi→∞ˆτ1,φ(Ki,ˆM)=lim supi→∞ˆτ1,φ(Ki,ˆM)≥lim supi→∞ˆQ1,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 i≥1 that {ˆMi}∞i=1 is uniformly bounded. Let {Kil}∞l=1⊆{Ki}∞i=1 be a subsequence such that
liml→∞ˆQ1,φ(Kil)=lim infi→∞ˆQ1,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 ˆM0∈K0 such that ˆMilj→ˆM0 as j→∞ and |^M0∘|=ωn. Thus
limi→∞infˆQ1,φ(Ki)=limj→∞ˆQ1,φ(Kilj)=limj→∞ˆτ1,φ(Kilj,ˆMilj)=ˆτ1,φ(K,ˆM0)≥ˆQ1,φ(K). | (4.9) |
From (4.8) and (4.9), one concludes that
ˆQ1,φ(K)=limi→∞ˆQ1,φ(Ki). | (4.10) |
(ⅱ) Assume that φ∈I 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 i≥1, respectively. Let {Mik}∞k=1⊆{Mi}∞i=1 and {ˆMil}∞l=1⊆{ˆMi}∞i=1. By (4.7) and (4.10)
Q1,φ(K)=limk→∞Q1,φ(Kik)=limk→∞τ1,φ(Kik,Mik); | (4.11) |
ˆQ1,φ(K)=liml→∞ˆQ1,φ(Kil)=limk→∞ˆτ1,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,I∈K0 such that Mikj1→S, ˆMilj2→I, and |S∘|=|I∘|=ωn. By Theorem 3.1, (4.11) and (4.12), we have
Q1,φ(K)=limj1→∞Q1,φ(Kikj1)=limj1→∞τ1,φ(Kikj1,Mikj1)=τ1,φ(K,S); |
ˆQ1,φ(K)=limj2→∞ˆQ1,φ(Kilj2)=limj2→∞ˆτ1,φ(Kilj2,ˆMilj2)=ˆτ1,φ(K,I). |
It follows that M=S and ˆM=I. That is, Mi→M and ^Mi→ˆM as i→∞.
The following proposition shows that the Orlicz-Petty bodies for torsional rigidity of polytopes are still polytopes.
Proposition 4.1. If φ∈I and K∈K0 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}⊆Sn−1. By (2.5), the torsional measure μτ(K,⋅) is also concentrated on {u1,u2,…,um}. If M∈P1,φ(K), then let P1 be a polytope with {u1,u2,…,um} as the unit normal vectors of its faces such that P1=⋂1≤i≤m{x∈Rn:⟨x,ui⟩≤hM(ui)}. Therefore, we have hP1(ui)=hM(ui) (1≤i≤m). Then
τ1,φ(K,P1)=1n+2∫Sn−1φ(hP1(u)hK(u))hK(u)dμτ(K,u)=1n+2m∑i=1φ(hP1(ui)hK(ui))hK(ui)⋅μτ(K,{ui})=1n+2m∑i=1φ(hM(ui)hK(ui))hK(ui)⋅μτ(K,{ui})=1n+2∫Sn−1φ(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(P∘1)P1). |
Since φ is strictly increasing, then vrad(P∘1)≥1. The inclusion P∘1⊆M∘ shows that vrad(P∘1)≤vrad(M∘)=1. Hence, |P∘1|=|M∘|. Then M=P1, that is, each M∈P1,φ(K) is a polytope with faces parallel to those of K.
Using the same method, one can prove that each ˆM∈ˆP1,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 K∈K0 be a polytope with surface area measure S(K,⋅) being concentrated on a finite subset {u1,u2,…,um}⊆Sn−1.
(i) If φ∈D and the jth coordinates of u1,u2,…,um are nonzero, then
inf{τ1,φ(K,L):L∈K0 and |L∘|=ωn}=0;sup{ˆτ1,φ(K,L):L∈K0 and |L∘|=ωn}=∞. |
(ii) If φ∈I, then
sup{τ1,φ(K,L):L∈K0 and |L∘|=ωn}=sup{ˆτ1,φ(K,L):L∈K0 and |L∘|=ωn}=∞. |
Proof. (ⅰ) Let bj=min1≤i≤m{|(ui)j|} be the jth coordinate of ui (1≤i≤m and 1≤j≤n), by assumption, bj>0. Then there exists a constant b>0 such that bj≥b for all 1≤j≤n. 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 1≤i≤m. For any d>0, we write
Td=diag(d,…,d,1,d,…,d) and Ld=d1−nnTdBn2, |
where 1 is in the jth column of the matrix Td. Then, L∘d=dn−1n(Ttd)−1Bn2 and |L∘d|=ωn. It is easily check that,
|Tdui|=√d2(ui)21+⋯+(ui)2j+⋯+d2(ui)2n≥|(ui)j|≥b |
for 1≤i≤m. Thus,
hLd(ui)=maxv1∈Ld⟨v1,ui⟩=maxv2∈Bn2⟨Tdv2d1−nn,ui⟩=d1−nnmaxv2∈Bn2⟨v2,Tdui⟩=d1−nn|Tdui|≥bdn−1n. |
Due to φ∈D is decreasing, so
1n+2∫Sn−1φ(hLd(u)hK(u))hK(u)dμτ(K,u)=1n+2m∑i=1φ(hLd(ui)hK(ui))hK(ui)μτ(K,{ui})≤1n+2m∑i=1φ(1cbdn−1n)cμτ(K,{ui})=cn+2φ(bcdn−1n)μτ(K,Sn−1). |
Since φ(b/cdn−1n)→0 as d→0\ by the monotonicity of φ, then
inf{τ1,φ(K,L):L∈K0 and |L∘|=ωn}≤cn+2φ(bcdn−1n)μτ(K,Sn−1)→0 as d→0. |
Similarly, we can check that sup{ˆτ1,φ(K,L):L∈K0 and |L∘|=ωn}=∞ if φ∈D.
(ⅱ) Firstly, suppose that μτ(K,{u1})>0. Since K∈K0, then there exists a positive number c1 such that hK(ui)≥c1>0 as 1≤i≤m. 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 1≤i≤m. By the Schmidt orthogonalization, it can be found an orthogonal matrix T∈O(n) with u1 as its first column vector. For any d>0, let
Td=Tdiag(d−1,d,1,1,…,1)Tt and Ld=TdBn2. |
It follows that, |L∘d|=ωn and
hLd(u1)=maxv1∈Ld⟨v1,u1⟩=maxv2∈Bn2⟨Tdv2,u1⟩=maxv2∈Bn2⟨v2,Tdu1⟩=maxv2∈Bn2⟨v2,d−1u1⟩=1d. |
Then
1n+2∫Sn−1φ(hLd(u)hK(u))hK(u)dμτ(K,u)=1n+2m∑i=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):L∈K0 and |L∘|=ωn}=∞ as d→0. |
Similarly, one can check that sup{ˆτ1,φ(K,L):L∈K0 and |L∘|=ωn}=∞ under the condition that φ∈I.
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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