On functionals involving the torsional rigidity related to some classes of nonlinear operators
Francesco Della Pietra, Nunzia Gavitone, Serena Guarino Lo Bianco

TL;DR
This paper investigates optimal bounds for anisotropic p-torsional rigidity functionals, relating geometric properties of domains to torsional measures, extending understanding of nonlinear operator effects on shape optimization.
Contribution
It introduces new estimates for functionals involving anisotropic p-torsional rigidity, connecting geometric domain features with nonlinear operator properties.
Findings
Derived bounds for $rac{T_p( abla)}{| abla| M( abla)}$
Established relationships between torsional rigidity and anisotropic inradius
Provided insights into nonlinear operator effects on domain functionals
Abstract
In this paper we study optimal estimates for two functionals involving the anisotropic -torsional rigidity , . More precisely, we study and , where is the maximum of the torsion function and is the anisotropic inradius of .
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On functionals involving the torsional rigidity
related to some classes of nonlinear operators
Francesco Della Pietra
Nunzia Gavitone
Serena Guarino Lo Bianco
Università degli studi di Napoli Federico II, Dipartimento di Matematica e Applicazioni “R. Caccioppoli”
Via Cintia, Monte S. Angelo - 80126 Napoli, Italia. Email: [email protected], [email protected], [email protected]
Abstract
Abstract: In this paper we study optimal estimates for two functionals involving the anisotropic -torsional rigidity , . More precisely, we study and , where is the maximum of the torsion function and is the anisotropic inradius of .
Keywords: torsional rigidity, anisotropic operators, optimal estimates
MSC 2010: 49Q10, 35J25
1 Introduction
Let , , be a convex, even, -homogeneous and function such that , . The anisotropic laplacian is the operator defined by
[TABLE]
For , is the so-called Finsler Laplacian, while when is the Euclidean norm, reduces to the well known -Laplace operator.
Given a bounded domain in , let us consider the torsion problem for :
[TABLE]
The anisotropic -torsional rigidity of is the number defined by
[TABLE]
where is the torsion function, that is the unique solution of (1).
The main aim of the paper is the study of optimal estimates for the following two functionals involving :
[TABLE]
Here and after we will denote by the Hölder conjugate of , , by the maximum of the torsion function and by the anisotropic inradius of (see Section 2 for the precise definitions). Observe that the functionals and are scaling invariant with respect to the domain. Indeed:
[TABLE]
Our main result is the following.
Theorem 1.1**.**
Let be a convex bounded domain in . It holds that
- i)
**
The right-hand side inequality is optimal for a suitable sequence of thinning rectangles. 2. ii)
**
The left-hand side inequality holds as an equality if and only if is a Wulff shape, that is a ball in the dual norm ; the right-hand side inequality is optimal for a suitable sequence of thinning rectangles.
When is the Euclidean norm, there is a wide literature on sharp estimates for related to several geometrical quantities depending on . For example, in the classical case of the torsional rigidity for the Laplace operator (), with , it is known that
[TABLE]
where is the standard Euclidean inradius of . The left-hand side inequality is due to Pólya and Szegő (see [PZ]), while the right-hand side inequality was proved by Makai in [M]. As regards the case , in [FGL], among other results, estimates for are given in the planar case, obtaining an upper bound and a sharp lower bound. In the anisotropic case, in [BGM] the estimates in ii) are proved for .
As regards the functional , up to our knowledge, it seems that the only known result is in the Euclidean case for . Indeed, in [HLP] the authors prove the following estimates:
[TABLE]
Moreover, they show the optimality of the upper bound, while they conjecture that the lower bound is not optimal, and that the sharp constant in the plane is , achieved on a sequence of thinning isosceles triangles. In our result, we improve the constant , replacing it with . Anyway, we believe that is not optimal, and for we show that there is a sequence of thinning isosceles triangles such that .
In order to prove our main result, among the main tools involved, the following estimate for the maximum of the torsion function plays a key role.
Theorem 1.2**.**
Let be a bounded convex domain in , , and let the anisotropic inradius of . Let be the solution of (1). For it holds that
[TABLE]
The right-hand side inequality is optimal for a suitable sequence of thinning -rectangular domains. The other inequality, holds as an equality if and only if is the Wulff shape .
The upper bound in (2) has been proved in [P] in the Euclidean case for , (see also [S]), by using a -function computation and a maximum principle. Anyway, many other estimates for the torsion function are known; the interested reader can refer, for example, to [vB, BFr, HLP] and the reference therein contained. We prove inequality (2) generalizing the -function technique to the case , and in the anisotropic case.
Finally, we recall that in the Euclidean case, several other estimates for the -torsional rigidity, involving different geometrical quantities, are known (for the Eucidean case, see for instance [vBBV, vBFNT, S] (), [FGL] (), and [DG1] for the anisotropic case ()).
The paper is organized as follows. In Section 2 we fix some notation and recall prelimiary results about Finsler metrics and the anisotropic -torsional rigidity. In Section 3 we prove Theorem 1.2 by using the -function method. Finally, in Section 4 we give the proof of the main Theorem 1.1. We will split it in several partial results.
2 Notation and preliminaries
Throughout the paper we will consider a convex even 1-homogeneous function
[TABLE]
that is a convex function such that
[TABLE]
and such that
[TABLE]
for some constant . The hypotheses on imply there exists such that
[TABLE]
Moreover, throughout the paper we will assume that , and
[TABLE]
with .
The hypothesis (6) on ensures that the operator
[TABLE]
is elliptic, hence there exists a positive constant such that
[TABLE]
for some positive constant , for any and for any .
Remark 2.1**.**
We stress that for the condition
[TABLE]
implies (6).
The polar function of is defined as
[TABLE]
It is easy to verify that also is a convex function which satisfies properties (3) and (4). Furthermore,
[TABLE]
From the above property it holds that
[TABLE]
The set
[TABLE]
is the so-called Wulff shape centered at the origin. We put , where denotes the Lebesgue measure of . More generally, we denote with the set , that is the Wulff shape centered at with measure , and .
We observe that is the support function of . In general for a nonempty closed convex set , the support function is defined by
[TABLE]
The following properties of and hold true:
[TABLE]
2.1 Anisotropic mean curvature
Let be a bounded domain, and be the unit outer normal at , and let such that , and on . The anisotropic outer normal to is given by
[TABLE]
It holds
[TABLE]
The anisotropic mean curvature of is defined as
[TABLE]
It holds that
[TABLE]
In [X] it has been proved that for a smooth function , on its level sets it holds
[TABLE]
where . In the next result we generalize (14) for .
Proposition 2.2**.**
Let be a function with a regular level set . Then we have
[TABLE]
where is the anisotropic mean curvature of as defined in (12).
Proof.
By definition of , (14) and (13), we have
[TABLE]
that is the thesis. ∎
Finally we recall the definition of the anisotropic distance from the boundary and the anisotropic inradius.
Let us consider a domain , that is a connected open set of , with non-empty boundary.
The anisotropic distance of to the boundary of is the function
[TABLE]
We stress that when then , the Euclidean distance function from the boundary.
It is not difficult to prove that is a uniform Lipschitz function in and, using the property of we have
[TABLE]
Obviously, assuming , and the quantity
[TABLE]
is called anisotropic inradius of .
For further properties of the anisotropic distance function we refer the reader to [CM].
2.2 Anisotropic -torsional rigidity
In this subsection we summarize some properties of the anisotropic -torsional rigidity. We refer the reader to [DG1] for further details.
Let be a bounded domain in , and . Throughout the paper we will denote by the Hölder conjugate of ,
[TABLE]
Let us consider the torsion problem for the anisotropic Laplacian
[TABLE]
By classical result there exists a unique solution of (17), that we will always denote by , which is positive in . Moreover, by (6) and being , then (see [LU, To]).
In view of the above considerations, we define the -torsional anisotropic rigidity of the number such that
[TABLE]
A characterization of is provided by the equality , where is the best constant in the Sobolev inequality
[TABLE]
that is
[TABLE]
and the solution of (17) realizes the maximum in (19).
It is immediate to see that if , then
[TABLE]
Moreover, by the maximum principle it holds that
[TABLE]
where is the maximum of the torsion function in .
A consequence of the anisotropic Pólya-Szegő inequality (see [AFLT]) is the following upper bound for in terms of the measure of .
Theorem 2.3**.**
Let be a bounded open set of . Then,
[TABLE]
where is the Wulff shape centered at the origin with the same Lebesgue measure as .
Remark 2.4**.**
If , by the simmetry of the problem, and the solution of (17) can be explicity calculated. We have:
[TABLE]
Remark 2.5**.**
We point out that the lower bound in statement ii) of Theorem 1.1 gives a stability type inequality for (22). Indeed we have
[TABLE]
where
3 An estimate of the maximum of the torsion function
In order to give a sharp upper bound for the maximum of the torsion function , we will take into account the following -function:
[TABLE]
where . The following result is proved in [CFV].
Proposition 3.1**.**
Let be a domain in , , and be a solution of (17). Set
[TABLE]
Then it holds that
[TABLE]
where
[TABLE]
As a consequence of the previous result we get the following maximum principle for .
Theorem 3.2**.**
Let be a bounded domain in , , with nonnegative anisotropic mean curvature on , and the torsion function. Then
[TABLE]
that is the function achieves its maximum at the points such that .
Proof.
Let us denote by the set of the critical points of , that is . Being , by the Hopf Lemma (see for example [CT]), .
Applying Proposition 3.1, the function verifies a maximum principle in the open set . Then we have
[TABLE]
Hence one of the following three cases occur
the maximum point of is on ; 2. 2.
the maximum point of is on ; 3. 3.
the function is constant in .
In order to prove the theorem we have to show that statement 1 cannot happen. Let us compute the derivative of in the direction of the anisotropic normal , in the sense of (13). Hence we get
[TABLE]
where last identity follows by (15). On the other hand, if a maximum point of is on , by Hopf Lemma either is constant in , or . Hence being we have a contradiction. ∎
As a consequence of the previous result we get the following optimal estimate for the maximum of .
Theorem 3.3**.**
Let be a bounded convex domain in , , and . It holds that
[TABLE]
Remark 3.4**.**
In the next section we will show that the right-hand side inequality in (25) is optimal on a suitable sequence of thinning rectangles (see Proposition 4.4 and (36). We stress that, in general, the quotient approaches the value also for different sequences of sets (see the example 4.7).
Proof.
The left-hand side inequality of (25) follows by (21) and (23). Hence, let us prove the other inequality.
First of all, suppose that is a , strictly convex domain. Let be a direction in . By Theorem 3.2 and property (7) we have
[TABLE]
where is the maximum of in Let us denote by the point of such that , by such that and by the direction of the straight line joining the points and . Then by (26) we get
[TABLE]
Being , we get
[TABLE]
which gives the estimate (25) for smooth convex domains. To prove the estimate in the case of a general convex body , we proceed by approximation. It is well-known (see for example [BF]) that a convex body can be approximated in the Hausdorff distance by an increasing sequence of smooth strictly convex bodies . Clearly, .
Let be the torsion function in . In order to conclude the proof we have to show that as . We first observe that by (25),
[TABLE]
hence are bounded in . Furthermore, applying Theorem 3.2 in we have
[TABLE]
Then by property (5)
[TABLE]
Hence by (27) and (28), using Ascoli-Arzelà theorem we get that uniformly in and this allows to pass to the limit in (27) and the proof is completed. ∎
Remark 3.5**.**
We point out that if we take smooth, the thesis of Theorem 3.3 holds if we assume only that the anisotropic mean curvature of is nonnegative.
4 Proof of Theorem 1.1
We split the proof in various theorems. We first prove the lower bound for in ii).
Theorem 4.1**.**
If is a convex bounded domain, , and , then
[TABLE]
where is the anisotropic inradius of defined in (16). Moreover the equality holds when is a Wulff shape.
Proof.
Let us assume first that is a strictly convex domain and then we remove this assumption with a proof that follows by approximation as in Theorem 3.3. Let us consider as test function into (19) the following
[TABLE]
where is the support function of the polar set of , defined in (8) . Then . By (23), we observe that when then is exactly the torsion function of the Wulff shape.
We start computing
[TABLE]
where . Then we have
[TABLE]
Let us now compute
[TABLE]
where last equality follows by the identity . Being , it follows that , so we have
[TABLE]
Joining together (30) and (31), we have the thesis.
Now we prove the validity of (29) without the assumption on the strict convexity of the domain . As in the proof of Theorem 3.3, let be a sequence of smooth strictly convex bodies such that . Such a convergence ensures that, as ,
[TABLE]
By (20), it follows that
[TABLE]
and by applying (29) to each , we find
[TABLE]
which, combined with (32), gives the desired result. Finally we stress that if is a Wulff shape, the equality case follows from Remark 2.4. On the other hand, if the equality holds in (29), then equality must hold in (31), and then , which implies . ∎
Let us consider the functional
[TABLE]
As consequence of theorems 4.1 and 3.3, we can prove the following estimates for (33) which is statement i) of Theorem 1.1.
Theorem 4.2**.**
For any bounded convex domain , , it holds that
[TABLE]
Proof.
We first prove the lower bound for the functional . By (29) and (25) we have
[TABLE]
which gives the lower bound in (34).
In order to prove the inequality in the right-hand side in (34), by Theorem 3.2 we have
[TABLE]
Integrating in both sides and recalling (18), we get
[TABLE]
which implies the upper bound in (34). ∎
In the following last result we prove the upper bound in statement ii) of Theorem 1.1, which follows immediately by the preceding results. We stress that in the anisotropic setting, the case was previously considered in [BGM] with a completely different proof.
Theorem 4.3**.**
Let be a bounded convex domain, , . It holds that
[TABLE]
Proof.
By the right-hand side inequality in (34), and (25), we have
[TABLE]
∎
The final part of the section is devoted to prove the optimality of (35). As a consequence, by (36) this will give the optimality of the right-hand side inequality of (34), and of (25).
Proposition 4.4**.**
Let be the -rectangle , and suppose that . Then
[TABLE]
The hypothesis is not restrictive, in the sense that if it is not true we can choose a rotated -rectangle where for some direction , and use the remark below.
Remark 4.5**.**
If is a rotation matrix, then, denoting by , it holds that
[TABLE]
(see [DGP] for the details). Hence, emphasizing the dependence on by denoting , we have
[TABLE]
Proof of Proposition 4.4.
First of all, we observe that
[TABLE]
Indeed, being , it holds that
[TABLE]
where is the Euclidean outer normal vector to . Hence by (10) and (9), we have
[TABLE]
where last equality follows by .
Let , where , and . Setting with and , we consider the function defined by
[TABLE]
We can estimate the anisotropic -torsional rigidity by using as test function. We have:
[TABLE]
We now compute
[TABLE]
and
[TABLE]
We notice that both and are negligible, since they go to zero as . By recalling that
[TABLE]
we have
[TABLE]
which concludes the proof. ∎
Remark 4.6**.**
We believe that the lower bound of in (34) is not optimal. Actually, in the Euclidean setting, with our bound improves the analogous result of [HLP]:
[TABLE]
Moreover in [HLP] the authors conjecture that for , and it holds
[TABLE]
and
[TABLE]
where is a sequence of isosceles triangles degenerating to a segment.
In the following example, for , and , we find a sequence of degenerating triangles such that (37) holds.
Example 4.7**.**
Let
[TABLE]
We want to show that there exists a sequence of thinning isosceles triangles of the plane such that
[TABLE]
where is the torsional rigidity of , is the maximum of the torsion function in and is the area of the triangle.
First of all, we recall that by a result contained in [FGL], for any sequence of isosceles triangles such that the ratio , where is the width of , then
[TABLE]
Hence, recalling that in a triangle it holds that then
[TABLE]
the result is proved if we find a sequence of triangles with vanishing ratio and such that tends to .
To this aim, let
[TABLE]
and consider a point , with . Let be the isosceles triangle constructed with one side on the -axis and with each side tangent to the ellipse at the points , as in Figure 1.
The vertices of the triangle are:
[TABLE]
Let us observe that as , while the first coordinate of diverges.
Then, denoting by and respectively the area and the perimeter of , and by
[TABLE]
we have:
[TABLE]
Now, being , by the comparison principle and (25) it holds that
[TABLE]
where the maximum of the torsion function on follows by a direct computation. Then, being and as , we have
[TABLE]
and (38) is proved.
We explicitly observe that, from the above computations, it holds
[TABLE]
Acnowledgements
This work has been partially supported by the FIRB 2013 project “Geometrical and qualitative aspects of PDE’s” and by GNAMPA of INdAM.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
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