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Crashworthiness performance of gradient energy-absorbing structure for subway vehicles under quasi-static loading

  • To improve the uncertainty of the deformation sequence of the energy-absorbing structures at the end of the subway vehicles during crushing, this paper adopts the gradient design idea of honeycomb structure size, collapse initiator groove and diaphragm. To this end, this paper proposes a honeycomb-filled gradient energy-absorbing structure (HGES) as an energy absorber. The crashworthiness of HGES under axial crushing was investigated by means of finite element (FE) simulations and quasi-static loading tests. After performing parametric analyses on HGES, it was discovered that the wall thickness and the platform intensity of honeycomb had an evident impact, whereas the diaphragm thickness had a relatively little impact on the crashworthiness of HGES. The HGES is then given a multi-objective optimization to further enhance its crashworthiness. The wall thickness, the platform intensity of honeycomb and diaphragm thickness were utilized as the design parameters, while minimal peak crushing force (PCF) and maximal specific energy absorption (SEA) were set as optimization objectives. Finally, a methodology integrating entropy and the order preference by similarity to an ideal solution (TOPSIS) is employed to find the optimal HGES configuration. The SEA and PCF of optimized HGES are enhanced by 19.81 and 25.28%, respectively, when compared to the baseline.

    Citation: Dongtao Wang, Ping Xu, Chengxing Yang, Shuguang Yao, Zhen Liu. Crashworthiness performance of gradient energy-absorbing structure for subway vehicles under quasi-static loading[J]. Electronic Research Archive, 2023, 31(6): 3568-3593. doi: 10.3934/era.2023181

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  • To improve the uncertainty of the deformation sequence of the energy-absorbing structures at the end of the subway vehicles during crushing, this paper adopts the gradient design idea of honeycomb structure size, collapse initiator groove and diaphragm. To this end, this paper proposes a honeycomb-filled gradient energy-absorbing structure (HGES) as an energy absorber. The crashworthiness of HGES under axial crushing was investigated by means of finite element (FE) simulations and quasi-static loading tests. After performing parametric analyses on HGES, it was discovered that the wall thickness and the platform intensity of honeycomb had an evident impact, whereas the diaphragm thickness had a relatively little impact on the crashworthiness of HGES. The HGES is then given a multi-objective optimization to further enhance its crashworthiness. The wall thickness, the platform intensity of honeycomb and diaphragm thickness were utilized as the design parameters, while minimal peak crushing force (PCF) and maximal specific energy absorption (SEA) were set as optimization objectives. Finally, a methodology integrating entropy and the order preference by similarity to an ideal solution (TOPSIS) is employed to find the optimal HGES configuration. The SEA and PCF of optimized HGES are enhanced by 19.81 and 25.28%, respectively, when compared to the baseline.



    Dedicatoria. Al Ingenioso Hidalgo Don Ireneo.

    In this paper we consider a nonlinear operator arising from the superposition of a classical p-Laplace operator and a fractional p-Laplace operator, of the form

    Lp,s=Δp+(Δ)sp (1.1)

    with s(0,1) and p[2,+). Here, as usual, Δpu=div(|u|p2u), while the fractional p-Laplace operator is defined (up to a multiplicative constant that we neglect) as

    (Δ)spu(x):=2p.v.Rn|u(x)u(y)|p2(u(x)u(y))|xy|n+psdy

    where p.v. stands for the principal value notation.

    Given a bounded open set ΩRn, we consider the eigenvalue problem for the operator Lp,s with homogeneous Dirichlet boundary conditions (i.e., the eigenfunctions are prescribed to vanish in the complement of Ω). In particular, we define λ1(Ω) to be the smallest of such eigenvalues and λ2(Ω) to be the second smallest one (in the sense made precise in [8,29]).

    The main result that we present here is a version of the Hong–Krahn–Szegö inequality for the second Dirichlet eigenvalue λ2(Ω), according to the following statement:

    Theorem 1.1. Let ΩRn be a bounded open set. Let B be any Euclidean ball with volume |Ω|/2. Then,

    λ2(Ω)>λ1(B). (1.2)

    Furthermore, equality is never attained in (1.2); however, the estimate is sharp in the following sense: if {xj}j,{yj}jRn are two sequences such that

    limj+|xjyj|=+,

    and if we define Ωj:=Br(xj)Br(yj), then

    limj+λ2(Ωj)=λ1(Br). (1.3)

    To the best of our knowledge, Theorem 1.1 is new even in the linear case p=2. Also, an interesting consequence of the fact that equality in (1.2) is never attained is that, for all c>0, the shape optimization problem

    inf|Ω|=cλ2(Ω)

    does not admit a solution.

    Remark 1.2. We stress that in this paper we deal with the case p2. As a matter of fact, as we shall see in Section 4, a key tool for the proof of Theorem 1.1 is the interior regularity of the Lp,s-Dirichlet eigenfunctions (see Section 2 for the relevant definitions); we establish this regularity result by adapting an idea already exploited by Brasco, Lindgren and Schikorra [12] in the purely non-local case, which requires the bound p2.

    On the other hand, after this paper was completed, the manuscript [28] appeared in the literature, in which the Authors mention a result implying the global Hölder regularity of the Lp,s-Dirichlet eigenfunctions for every p>1; see, precisely, [28,Remark 2.4]. Using this result, one could possibly drop the assumption p2 and prove Theorem 1.1 for every p>1.

    Before diving into the technicalities of the proof of Theorem 1.1, we devote Section 1.1 to showcase the available results on the shape optimization problems related to the first and the second eigenvalues of several elliptic operators.

    One of the classical shape optimization problems is related to the detection of the domain that minimizes the first eigenvalue of the Laplacian with homogeneous boundary conditions. This is the content of the Faber–Krahn inequality [24,32], whose result can be stated by saying that among all domains of fixed volume, the ball has the smallest first eigenvalue.

    In particular, as a physical application, one has that that among all drums of equal area, the circular drum possesses the lowest voice, and this somewhat corresponds to our intuition, since a very elongated rectangular drum produces a high pitch related to the oscillations along the short edge.

    Another physical consequence of the Faber–Krahn inequality is that among all the regions of a given volume with the boundary maintained at a constant temperature, the one which dissipates heat at the slowest possible rate is the sphere, and this also corresponds to our everyday life experience of spheres minimizing contact with the external environment thus providing the optimal possible insulation.

    From the mathematical point of view, the Faber–Krahn inequality also offers a classical stage for rearrangement methods and variational characterizations of eigenvalues.

    In view of the discussion in Section A, the subsequent natural question investigates the optimal shape of the second eigenvalue. This problem is addressed by the Hong–Krahn–Szegö inequality [31,33,37], which asserts that among all domains of fixed volume, the disjoint union of two equal balls has the smallest second eigenvalue.

    Therefore, for the case of the Laplacian with homogeneous Dirichlet data, the shape optimization problems related to both the first and the second eigenvalues are solvable and the solution has a simple geometry.

    It is also interesting to point out a conceptual connection between the Faber–Krahn and the Hong–Krahn–Szegö inequalities, in the sense that the proof of the second typically uses the first one as a basic ingredient. More specifically, the strategy to prove the Hong–Krahn–Szegö inequality is usually:

    ● Use that in a connected open set all eigenfunctions except the first one must change sign,

    ● Deduce that λ2(Ω)=max{λ1(Ω+),λ1(Ω)}, for suitable subdomain Ω+ and Ω which are either nodal domains for the second eigenfunction, if Ω is connected, or otherwise connected components of Ω,

    ● Utilize the Faber–Krahn inequality to show that λ1(Ω±) is reduced if we replace Ω± with a ball of volume |Ω±|,

    ● Employ the homogeneity of the problem to deduce that the volumes of these two balls are equal.

    That is, roughly speaking, a cunning use of the Faber–Krahn inequality allows one to reduce to the case of disjoint balls, which can thus be addressed specifically.

    A natural extension of the optimal shape results for the Laplacian recalled in Section 1.1.1 is the investigation of the nonlinear operator setting and in particular the case of the p-Laplacian. This line of research was carried out in [10] in which a complete analogue of the results of Section 1.1.1 have been established for the p-Laplacian. In particular, the first Dirichlet eigenvalue of the p-Laplacian is minimized by the ball and the second by any disjoint union of two equal balls.

    We stress that, in spite of the similarity of the results obtained, the nonlinear case presents its own specific peculiarities. In particular, in the case of the p-Laplacian one can still define the first eigenvalue by minimization of a Rayleigh quotient, in principle the notion of higher eigenvalues become more tricky, since discreteness of the spectrum is not guaranteed and the eigenvalues theory for nonlinear operators offers plenty of open problems at a fundamental level. For the second eingevalue however one can obtain a variational characterization in terms of a mountain-pass result, still allowing the definition of a spectral gap between the smallest and the second smallest eigenvalue.

    We now consider the question posed by the minimization of the first and second eigenvalues in a nonlocal setting.

    The optimal shape problems for the first eigenvalue of the fractional Laplacian with homogeneous external datum was addressed in [3,9,11,41], showing that the ball is the optimizer.

    As for the nonlinear case, the spectral properties of the fractional p-Laplacian possess their own special features, see [26], and they typically combine the difficulties coming from the nonlocal world with those arising from the theory of nonlinear operators. In [11] the optimal shape problem for the first Dirichlet eigenvalue of the fractional p-Laplacian was addressed, by detecting the optimality of the ball as a consequence of a general Pólya–Szegö principle.

    For the second eigenvalue, however, the situation in the nonlocal case is quite different from the classical one, since in general nonlocal energy functionals are deeply influenced by the mutual position of the different connected components of the domain, see [35].

    In particular, the counterpart of the Hong–Krahn–Szegö inequality for the fractional Laplacian and the fractional p-Laplacian was established in [13] and it presents significant differences with the classical case: in particular, the shape optimizer for the second eigenvalue of the fractional p-Laplacian with homogeneous external datum does not exist and one can bound such an eigenvalue from below by the first eigenvalue of a ball with half of the volume of the given domain (and this is the best lower bound possible, since the case of a domain consisting of two equal balls drifting away from each other would attain such a bound in the limit).

    The study of mixed local/nonlocal operators has been recently received an increasing level of attention, both in view of their intriguing mathematical structure, which combines the classical setting and the features typical of nonlocal operators in a framework that is not scale-invariant [1,4,5,6,8,16,17,20,21,23,27,39], and of their importance in practical applications such as the animal foraging hypothesis [22,36].

    In regard to the shape optimization problem, a Faber–Krahn inequality for mixed local and nonlocal linear operators when p=2 has been established in [7], showing the optimality of the ball in the minimization of the first eigenvalue. The corresponding inequality for the nonlinear setting presented in (1.1) will be given here in the forthcoming Theorem 4.1.

    The inequality of Hong–Krahn–Szegö type for mixed local and nonlocal linear operators presented in (1.1) would thus complete the study of the optimal shape problems for the first and second eigenvalues of the operator in (1.1).

    The rest of this paper is organized as follows. Section 2 sets up the notation and collects some auxiliary results from the existing literature.

    In Section 3 we discuss a regularity theory which, in our setting, plays an important role in the proof of Theorem 1.1 in allowing us to speak about nodal regions for the corresponding eigenfunction (recall the bullet point strategy presented on page 3). In any case, this regularity theory holds in a more general setting and can well come in handy in other situations as well.

    Section 4 introduces the corresponding Faber–Krahn inequality for the operator in (1.1) and completes the proof of Theorem 1.1.

    In Appendix A we also discuss the importance of first and second eigenvalues in general problems of applied mathematics (not necessarily related to partial differential equations, nor to integro-differential equations).

    To deal with the nonlinear and mixed local/nonlocal operator in (1.1), given an open and bounded set ΩRn, it is convenient to introduce the space

    X1,p0(Ω)W1,p(Rn),

    defined as the closure of C0(Ω) with respect to the global norm

    u(Rn|u|pdx)1/p.

    We highlight that, since Ω is bounded, X1,p0(Ω) can be equivalently defined by taking the closure of C0(Ω) with respect to the full norm

    u(Rn|u|pdx)1/p+(Rn|u|pdx)1/p;

    however, we stress that X1,p0(Ω) is different from the usual space W1,p0(Ω), which is defined as the closure of C0(Ω) with respect to the norm

    u(Ω|u|pdx)1/p.

    As a matter of fact, while the belonging of a function u to W1,p0(Ω) only depends on its behavior inside of Ω (actually, u does not even need to be defined outside of Ω), the belonging of u to X1,p0(Ω) is a global condition, and it depends on the behavior of u on the whole space Rn (in particular, u has to be defined on Rn). Just to give an example of the difference between these spaces, let uC0(Rn){0} be such that

    supp(u)¯Ω=.

    Since u0 inside of Ω, we clearly have that uW1,p0(Ω); on the other hand, since u0 in RnΩ, one has uX1,p0(Ω) (even if uW1,p(Rn)).

    Although they do not coincide, the spaces X1,p0(Ω) and W1,p0(Ω) are related: to be more precise, using [14,Proposition 9.18] and taking into account the definition of X1,p0(Ω), one can see that

    (i) if uW1,p0(Ω), then u1ΩX1,p0(Ω);

    (ii) if uX1,p0(Ω), then u|ΩW1,p0(Ω).

    Moreover, we can actually characterize X1,p0(Ω) as follows:

    X1,p0(Ω)={uW1,p(Rn):u|ΩW1,p0(Ω)andu=0a.e.inRnΩ}.

    The main issue in trying to use (ⅰ)–(ⅱ) to identify W1,p0(Ω) with X1,p0(Ω) is that, if u is globally defined and uW1,p(Rn), then

    u|ΩW1,p0(Ω)u1ΩX1,p0(Ω);

    however, we cannot say in general that u=u1Ω. Even if they cannot allow to identify X1,p0(Ω) with W1,p0(Ω), assertions (ⅰ)–(ⅱ) can be used to deduce several properties of the space X1,p0(Ω) starting from their analog in W1,p0(Ω); for example, we have the following fact, which shall be used in the what follows:

    uX1,p0(Ω)|u|,u+,uX1,p0(Ω).

    Remark 2.1. In the particular case when the open set Ω is of class C1, it follows from [14,Proposition 9.18] that, if uW1,p(Rn) and u=0 a.e. in RnΩ, then

    u|ΩW1,p0(Ω).

    As a consequence, we have

    X1,p0(Ω)={uW1,p(Ω):u=0a.e.inRnΩ}.

    This fact shows that, when Ω is sufficiently regular, X1,p0(Ω) coincides with the space Xp(Ω) introduced in [5] (for p=2) and in [8] (for a general p>1).

    For future reference, we introduce the following set

    M(Ω):={uX1,p0(Ω):Rn|u|pdx=1}. (2.1)

    After these preliminaries, we can turn our attention to the Dirichlet problem for the operator Lp,s. Throughout the rest of this paper, to simplify the notation we set

    Jp(t):=|t|p2t for all tR. (2.2)

    Moreover, we define

    p:={npnpifp<n,+ifpn,and(p):={pp1ifp<n,1ifpn.

    Definition 2.2. Let q(p), and let fLq(Ω). We say that a function uW1,p(Rn) is a weak solution to the equation

    Lp,su=finΩ (2.3)

    if, for every ϕX1,p0(Ω), the following identity is satisfied

    Ω|u|p2u,ϕdx+R2nJp(u(x)u(y))(ϕ(x)ϕ(y))|xy|n+psdxdy=Ωfϕdx, (2.4)

    Moreover, given any gW1,p(Rn), we say that a function uW1,p(Rn) is a weak solution to the (Lp,s)-Dirichlet problem

    {Lp,su=finΩ,u=ginRnΩ, (2.5)

    if u is a weak solution to (2.3) and, in addition,

    ugX1,p0(Ω).

    Remark 2.3. (1) We point out that the above definition is well-posed: indeed, if u,vW1,p(Ω), by Hölder's inequality and [19,Proposition 2.2] we get

    R2n|u(x)u(y)|p1|v(x)v(y)||xy|n+psdxdy (R2n|u(x)u(y)|p|xy|n+psdxdy)1/p(R2n|v(x)v(y)|p|xy|n+psdxdy)1/pcuW1,p(Rn)vW1,p(Rn)<+.

    Moreover, since fLq(Ω) and q(p), again by Hölder's inequality and by the Sobolev Embedding Theorem (applied here to vW1,p(Rn)), we have

    Ω|f||v|dxfL(p)(Ω)vLp(Ω)<+.

    (2) If W1,p(Rn) is is a weak solution to the (Lp,s)-Dirichlet problem (2.5), it follows from the definition of X1,p0(Ω) that

    (ug)|ΩW1,p0(Ω)andu=ga.e.inRnΩ.

    Thus, X1,p0(Ω) is the 'right space' for the weak formulation of (2.5).

    With Definition 2.2 at hand, we now introduce the notion of Dirichlet eigenvalue/eigenfunction for the operator Lp,s.

    Definition 2.4. We say that λR is a Dirichlet eigenvalue for Lp,s if there exists a solution uW1,p(Ω){0} of the (Lp,s)-Dirichlet problem

    {Lp,su=λ|u|p2uinΩ,u=0inRnΩ. (2.6)

    In this case, we say that u is an eigenfunction associated with λ.

    Remark 2.5. We note that Definition 2.4 is {well-posed}. Indeed, if u is any function in W1,p(Rn), by the Sobolev Embedding Theorem we have

    f:=|u|p2uLpp1(Ω);

    then, a direct computation shows that q:=p/(p1)(p). As a consequence, the notion of weak solution for (2.6) agrees with the one contained in Definition 2.2. In particular, if u is an eigenfunction associated with some eigenvalue λ, then

    uX1,p0(Ω),

    and thus u|ΩW1,p0(Ω) and u=0a.e.inRnΩ.

    After these definitions, we close the section by reviewing some results about eigenvalues/eigenfucntions for Lp,s which shall be used here below.

    To begin with, we recall the following result proved in [8,Proposition 5.1] which establishes the existence of the smallest eigenvalue and detects its basic properties.

    Proposition 2.6. The smallest eigenvalue λ1(Ω) for the operator Lp,s is strictly positive and satisfies the following properties:

    1) λ1(Ω) is simple;

    2) the eigenfunctions associated with λ1(Ω) do not change sign in Rn;

    3) every eigenfunction associated to an eigenvalue

    λ>λ1(Ω)

    is nodal, i.e., sign changing.

    Moreover, λ1(Ω) admits the following variational characterization

    λ1(Ω)=minuM(Ω)(Ω|u|pdx+R2n|u(x)u(y)|p|xy|n+psdxdy), (2.7)

    where M(Ω) is as in (2.1). The minimum is always attained, and the eigenfunctions for Lp,s associated with λ1(Ω) are precisely the minimizers in (2.7).

    We observe that, on account of Proposition 2.6, there exists a unique non-negative eigenfunction u0M(Ω)X1,p0(Ω) associated with λ1(Ω); in particular, u0 is a minimizer in (2.7), so that

    λ1(Ω)=Ω|u0|pdx+R2n|u0(x)u0(y)|p|xy|n+psdxdy. (2.8)

    We shall refer to u0 as the principal eigenfunction of Lp,s.

    The next result was proved in [29,Section 5] and concerns the second eigenvalue for Lp,s.

    Theorem 2.7. We define:

    λ2(Ω):=inffKmaxuIm(f){Ω|u|pdx+R2n|u(x)u(y)|p|xy|n+psdxdy}, (2.9)

    where K:={f:S1M(Ω):fiscontinuousandodd}, with M(Ω) as in (2.1).

    Then:

    1) λ2(Ω) is an eigenvalue for Lp,s;

    2) λ2(Ω)>λ1(Ω);

    3) If λ>λ1(Ω) is an eigenvalue for Lp,s, then λλ2(Ω).

    In the rest of this paper, we shall refer to λ1(Ω) and λ2(Ω) as, respectively, the first and second eigenvalue of Lp,s (in Ω). We notice that, as a consequence of (2.7)–(2.9), both λ1() and λ2() are translation-invariant, that is,

    λ1(x0+Ω)=λ1(Ω) and λ2(x0+Ω)=λ2(Ω).

    To proceed further, we now recall the following global boundedness result for the eigenfunctions of Lp,s (associated with any eigenvalue λ) established in [8,Theorem 4.4].

    Theorem 2.8. Let uX1,p0(Ω){0} be an eigenfunction for Lp,s, associated with an eigenfunction λλ1(Ω). Then, uL(Rn).

    Remark 2.9. Actually, in [8,Theorem 4.4] it is proved the global boundedness of any non-negative weak solution to the more general Dirichlet problem

    {Lp,s=f(x,u)inΩ,u0a.e.inRnΩ,

    where f:Ω×RR is a Carathéodory function satisfying the properties

    (a) f(,t)L(Ω) for every t0;

    (b) There exists a constant cp>0 such that

    |f(x,t)|cp(1+tp1)fora.e.xΩandeveryt0.

    However, by scrutinizing the proof of the theorem, it is easy to check that the same argument can be applied to our context, where we have

    f(x,t)=λ|t|p2tforallxΩandtR,

    but we do not make any assumption on the sign of u (see also [40,Proposition 4]).

    Finally, we state here an algebraic lemma which shall be useful in the forthcoming computations.

    Lemma 2.10. Let 1<p<+ be fixed. Then, the following facts hold.

    1) For every a,bR such that ab0, it holds that

    Jp(ab)a{|a|p(p1)|ab|p2ab,if1<p2,|a|p(p1)|a|p2ab,ifp>2.

    2) There exists a constant cp>0 such that

    |ab|p|a|p+|b|p+cp(|a|2+|b|2)p22|ab|,a,bR.

    In this section we prove the interior Hölder regularity of the eigenfunctions for Lp,s, which is a fundamental ingredient for the proof of Theorem 1.1. As a matter of fact, on account of Theorem 2.8, we establish the interior Hölder regularity for any bounded weak solution of the non-homogeneous equation (2.3), when

    fL(Ω).

    In what follows, we tacitly understand that

    2pnands(0,1);

    moreover, ΩRn is a bounded open set and fL(Ω).

    Remark 3.1. The reason why we restrict ourselves to consider 2pn follows from the definition of weak solution to (2.3).

    Indeed, if u is a weak solution to (2.3), then by definition we have uW1,p(Rn); as a consequence, if p>n, by the classical Sobolev Embedding Theorem we can immediately conclude that uC0,γ(Rn), where γ=1n/p.

    In order to state (and prove) the main result of this section, we need to fix a notation: for every zRn,ρ>0 and uLp(Rn), we define

    Tail(u,z,ρ):=(ρpRnBρ(z)|u|p|xz|n+psdx)1/p.

    The quantity Tail(u,z,ρ) is referred to as the (Lp,s)-tail of u, see e.g., [18,34].

    Theorem 3.2. Let fL(Ω), and let uW1,p(Rn)L(Rn) be a weak solution to (2.3). Then, there exists some β=β(n,s,p)(0,1) such that uC0,βloc(Ω).

    More precisely, for every ball BR0(z)Ω we have the estimate

    [u]pC0,β(BR0(z))C(fL(Ω)+upL(Ω)+Tail(u,z,R1)p+1), (3.1)

    where

    R1:=R0+dist(BR0(z),Ω)2

    and C>0 is a constant independent of u and R1.

    In order to prove Theorem 3.2, we follow the approach in [12]; broadly put, the main idea behind this approach is to transfer to the solution u the oscillation estimates proved in [27] for the Lp,s-harmonic functions.

    To begin with, we establish the following basic existence/uniqueness result for the weak solutions to the (Lp,s)-Dirichlet problem (2.5).

    Proposition 3.3. Let fL(Ω) and gW1,p(Rn) be fixed. Then, there exists a unique solution u=uf,gW1,p(Rn) to the Dirichlet problem (2.5).

    Proof. We consider the space

    W(g):={uW1,p(Rn):ugX1,p0(Ω)},

    and the functional J:W(g)R defined as follows:

    J(u):=1pΩ|u|pdx+1pΩ×Ω|u(x)u(y)|p|xy|n+ps+2pΩ×(RnΩ)|u(x)g(y)|p|xy|n+psΩfudx.

    On account of [12,Remark 2.13], we have that J is strictly convex; hence, by using the Direct Methods in the Calculus of Variations, we derive that J has a unique minimizer u=uf,g on W(g), which is the unique weak solution to (2.5).

    Thanks to Proposition 3.3, we can prove the following result. Throughout the rest of this paper, if uL1loc(Ω) and if AΩ is a measurable set with positive measure, we adopt the classical notation

    Au(x)dx:=1|A|Au(x)dx.

    In particular, if A=B(x0,r), we set

    ¯ux0,r:=B(x0,r)u(x)dx.

    Lemma 3.4. Let fL(Ω) and let uW1,p(Rn) be a weak solution to (2.3). Moreover, let B be a given Euclidean ball such that BΩ, and let vW1,p(Rn) be the unique weak solution to the Dirichlet problem

    {Lp,sv=0inΩ,v=uinRnΩ. (3.2)

    Then, there exists a constant C=C(n,s,p)>0 such that

    [uv]pWs,p(Rn)C|B|pp(nsp)npfpL(Ω). (3.3)

    In particular, we have

    B|uv|pdxC|B|pp(nsp)np+spn1fpL(Ω). (3.4)

    Proof. We observe that the existence of v is ensured by Proposition 3.3. Then, taking into account that u is a weak solution to (2.3) and v is the weak solution to (3.2), for every ϕX1,p0(B) we get

    B(|u|p2u,ϕ|v|p2v,ϕ)dx+R2n(Jp(u(x)u(y))Jp(v(x)v(y)))(ϕ(x)ϕ(y))|xy|n+psdxdy=Bfϕ.

    Choosing, in particular, ϕ:=uv (notice that, since v is a weak solution of (3.2), by definition we have vuX1,p0(Ω)), we obtain

    ΩB(u,v)dx+R2n(Jp(t1)Jp(t2))(t1t2)|xy|n+psdxdy=Bf(uv)dx, (3.5)

    where t1:=u(x)u(y),t2:=v(x)v(y) and

    B(a,b):=|a|p+|b|p(|a|p2+|b|p2)a,b for all a,bR.

    Now, an elementary computation based on Cauchy-Schwarz's inequality gives

    B(a,b)0 for all a,bR. (3.6)

    Moreover, since p2, by exploiting [12,Remark A.4] we have

    (Jp(t1)Jp(t2))(t1t2)1C|t1t2|p, (3.7)

    where C=C(p)>0 is a constant only depending on p. Thus, by combining (3.5), (3.6) and (3.7), we obtain the following estimate:

    [uv]pWs,p(Rn)=R2n|t1t2|p|xy|n+psdxdyC(ΩB(u,v)dx+R2n(Jp(t1)Jp(t2))(t1t2)|xy|n+psdxdy)CBf(uv)dxCfL(Ω)B|uv|dxC|B|11psfL(Ω)uvLps(B),

    where we have also used the Hölder's inequality and ps>1 is the so-called fractional critical exponent, that is,

    ps:=npnsp.

    Finally, by applying the fractional Sobolev inequality to ϕ=uv (notice that ϕ is compactly supported in B), we get

    [uv]pWs,p(Rn)C|B|11psfL(Ω)[uv]Ws,p(Rn),

    and this readily yields the desired (3.3). To prove (3.4) we observe that, by using the Hölder inequality and again the fractional Sobolev inequality, we have

    B|uv|pdx(B|uv|psdx)ppsC|B|psp[uv]pWs,p(Rn);

    thus, estimate (3.4) follows directly from (3.3).

    Using Lemma 3.4, we can prove the following excess decay estimate.

    Lemma 3.5. Let fL(Ω) and let uW1,p(Rn) be a weak solution to (2.3). Moreover, let x0Ω and let R(0,1) be such that B4R(x0)Ω.

    Then, for every 0<rR we have the estimate

    Br(x0)|u¯ux0,r|pdxC(Rr)nRγfpL(Ω)+C(rR)αp(RγfpL(Ω)+B4R(x0)|u|pdx+Tail(u,x0,4R)p), (3.8)

    where C,γ and α are positive constants only depending on n, s and p.

    Proof. Let vW1,p(Rn) be the unique weak solution to the problem

    {Lp,sv=0inB3R(x0),v=uonRnB3R(x0). (3.9)

    We stress that the existence of v is guaranteed by Proposition 3.3. We also observe that, for every r(0,R], we have that

    |¯ux0,r¯vx0,r|p=|Br(x0)(uv)dx|pBr(x0)|uv|pdx.

    As a consequence, we obtain

    Br(x0)|u¯ux0,r|pdxκBr(x0)|uv|pdx+κBr(x0)|v¯vx0,r|pdx+κBr(x0)|¯ux0,r¯vx0,r|pdxκ(Br(x0)|uv|pdx+Br(x0)|v¯vx0,r|pdx), (3.10)

    where κ=κp>0 is a constant only depending on p.

    Now, since B3R(x0)Ω and v is the weak solution to (3.9), by Lemma 3.4 we have

    Br(x0)|uv|pdxCrnpp(nsp)p+spnfpL(Ω)C(Rr)nRnpp(nsp)p+spnfpL(Ω). (3.11)

    On the other hand, since vW1,p(Rn) and v is Lp,s-harmonic in B3R(x0) (that is, Lp,sv=0 in the weak sense), we can apply [27,Theorem 5.1], obtaining

    Br(x0)|v¯vx0,r|pdx=Br(x0)|Br(x0)(v(x)v(y))dy|pdxBr(x0)(Br(x0)|v(x)v(y)|pdy)dx(oscBr(x0)v)pC(rR)αp(Tail(v,x0,R)p+B2R(x0)|v|pdx), (3.12)

    where C and α are positive constants only depending on n, s and p. By combining estimates (3.11)-(3.12) with (3.10), we then get

    Br(x0)|u¯ux0,r|pdxC(Rr)nRγfpL(Ω)+C(rR)αp(Tail(v,x0,R)p+B2R(x0)|v|pdx), (3.13)

    where we have set

    γ:=npp(nsp)p+spn>0. (3.14)

    To complete the proof of (3.8) we observe that, since uv a.e. on RnB3R(x0) (and 0<R1), by definition of Tail(v,x0,R) we have

    Tail(v,x0,R)p=RpRnBR(x0)|v|p|xx0|n+psdx=RpRnB4R(x0)|v|p|xx0|n+psdx+RpB4R(x0)BR(x0)|v|p|xx0|n+psdxC(Tail(u,x0,4R)p+B4R(x0)|v|pdx). (3.15)

    Moreover, by using again Lemma 3.4, we get

    B4R(x0)|v|pdxCB4R(x0)|uv|pdx+CB4R(x0)|u|pdxC(RγfpL(Ω)+B4R(x0)|u|pdx). (3.16)

    Thus, by inserting (3.15)-(3.16) into (3.13), we obtain the desired (3.8).

    By combining Lemmata 3.4 and 3.5, we can provide the

    Proof of Theorem 3.2. The proof follows the lines of [12,Theorem 3.6]. First, we consider a ball BR0(z)⊂⊂Ω and we define the quantities

    d:=dist(BR0(z),Ω)>0andR1:=d2+R0. (3.17)

    Thus, we can choose a point x0BR0(z) and the ball B4R(x0), where R<min{1,d8}. In particular, this implies that B4R(x0)BR1(z). Since R<1, we can then apply Lemma 3.5: this gives, for every 0<rR,

    Br(x0)|u¯ux0,r|pdxC(Rr)nRγfpL(Ω)+C(rR)αp(RγfpL(Ω)+B4R(x0)|u|pdx+Tail(u,x0,4R)p)C(Rr)nRγfpL(Ω)+C(rR)αp(dγfpL(Ω)+upL(Ω)dx+Tail(u,x0,4R)p), (3.18)

    where γ>0 is as in (3.14). Now, we notice that for every xBR1(z) it holds that

    |xx0||xz||zx0|R1|zx0|R1|xz|.

    Therefore, we have

    Tail(u,x0,4R)p=(4R)pRnBR1(z)|u|p|xx0|n+psdx+(4R)pBR1(z)B4R(x0)|u|p|xx0|n+psdx(4RR1)p(R1R1|zx0|)n+psTail(u,z,R1)p+CupL(Ω)Tail(u,z,R1)p+CupL(Ω)

    for a constant C depending on n, s and p. We recall that in the last estimate we exploited that

    4RR1<d2R0+d2<1and4RR1|x0z|4RR1R0<1.

    Consequently, continuing the estimate started with (3.18), we find that

    Br(x0)|u¯ux0,r|pdxC(Rr)nRγfpL(Ω)+C(rR)αp(dγfpL(Ω)+upL(Ω)dx+Tail(u,z,R1)p). (3.19)

    We can now define the positive number

    θ:=1+γn+αp,

    and take r:=Rθ in (3.19), which yields

    rβpBr(x0)BR0(z)|u¯ux0,r|pdxC((dγ+1)fpL(Ω+upL(Ω)+Tail(u,z,R1)p),

    where we have set

    β:=γαn+αp+γ>0.

    This shows that uLp,n+βγ(BR0(z)), the Campanato space isomorphic to the Hölder space C0,β(¯BR0(z)). This completes the proof of Theorem 3.2.

    By gathering together Theorems 2.8 and 3.2, we can easily prove the needed interior Hölder regularity of the eigenfunctions of Lp,s.

    Theorem 3.6. Let λλ1(Ω) be an eigenvalue of Lp,s, and let ϕλX1,p0(Ω){0} be an eigenfunction associated with λ. Then, ϕλC(Ω).

    Proof. On account of Theorem 2.8, we know that ϕλL(Rn). As a consequence, ϕλ is a globally bounded weak solution to (2.3), with

    f:=λ|ϕλ|p2ϕλL(Ω).

    We are then entitled to apply Theorem 3.2, which ensures that ϕλC0,βloc(Ω) for some β=β(n,s,p)(0,1). This ends the proof of Theorem 3.6.

    In this last section of the paper we provide the proof of Theorem 1.1. Before doing this, we establish two preliminary results.

    First of all, we prove the following Faber-Krahn type inequality for Lp,s.

    Theorem 4.1. Let ΩRn be a bounded open set, and let m:=|Ω|(0,). Then, if B(m) is any Euclidean ball with volume m, one has

    λ1(Ω)λ1(B(m)). (4.1)

    Moreover, if the equality holds in (4.1), then Ω is a ball.

    Proof. The proof is similar to that in the linear case, see [7,Theorem 1.1]; however, we present it here in all the details for the sake of completeness.

    To begin with, let ˆB(m) be the Euclidean ball with centre 0 and volume m. Moreover, let u0M(Ω) be the principal eigenfunction for Lp,s. We recall that, by definition, u0 is the unique non-negative eigenfunction associated with the first eigenvalue λ1(Ω); in particular, we have (see (2.8))

    λ1(Ω)=Ω|u0|pdx+R2n|u0(x)u0(y)|p|xy|n+psdxdy. (4.2)

    Then, we define u0:RnR as the (decreasing) Schwarz symmetrization of u0. Now, since u0M(Ω), from the well-known inequality by Pólya and Szegö (see e.g., [38]) we deduce that

    u0M(ˆB(m))andˆB(m)|u0|pdxΩ|u|pdx. (4.3)

    Furthermore, by [2,Theorem 9.2] (see also [25,Theorem A.1]), we also have

    R2n|u0(x)u0(y)|p|xy|n+psdxdyR2n|u0(x)u0(y)|p|xy|n+psdxdy. (4.4)

    Gathering all these facts and using (4.2), we get

    λ1(Ω)=Ω|u0|2dx+R2n|u0(x)u0(y)|2|xy|n+2sdxdyˆB(m)|u0|2dx+R2n|u0(x)u0(y)|2|xy|n+2sdxdyλ1(ˆB(m)). (4.5)

    From this, since λ1() is translation-invariant, we derive the validity of (4.1) for every Euclidean ball B(m) with volume m.

    To complete the proof of Theorem 4.1, let us suppose that

    λ1(Ω)=λ1(B(m))

    for some (and hence, for every) ball B(m) with |B(m)|=m. By (4.5) we have

    Ω|u0|pdx+R2n|u0(x)u0(y)|p|xy|n+psdxdy=λ1(Ω)=λ1(ˆB(m))=ˆB(m)|(u0)|pdx+R2n|u0(x)u0(y)|p|xy|n+psdxdy.

    In particular, by (4.3) and (4.4) we get

    R2n|u0(x)u0(y)|p|xy|n+psdxdy=R2n|u0(x)u0(y)|p|xy|n+psdxdy.

    We are then in the position to apply once again [25,Theorem A.1], which ensures that u0 must be proportional to a translation of a symmetric decreasing function. As a consequence of this fact, we immediately deduce that

    Ω={xRn:u0(x)>0}

    must be a ball (up to a set of zero Lebesgue measure). This completes the proof of Theorem 4.1.

    Then, we establish the following lemma on nodal domains.

    Lemma 4.2. Let λ>λ1(Ω) be an eigenvalue of Lp,s, and let ϕλX1,p0(Ω){0} be an eigenfunction associated with λ. We define the sets

    Ω+:={xΩ:ϕλ(x)>0}andΩ:={xΩ:ϕλ(x)<0}.

    Then λ>max{λ1(Ω+),λ1(Ω)}.

    The proof of Lemma 4.2 takes inspiration from [13,Lemma 6.1] (see also [29,Lemma 4.2]).

    Proof of Lemma 4.2. First of all, on account of Theorem 3.6 we have that the sets Ω+ and Ω are open, and therefore the eigenvalues λ1(Ω±) are well–defined.

    Moreover, thanks to Proposition 2.6, we know that ϕλ changes sign in Ω, and therefore it is convenient to write ϕλ=ϕ+λϕλ, where ϕ+λ and ϕλ denote, respectively, the positive and negative parts of ϕλ, with the convention that both the functions ϕ+λ and ϕλ are non-negative.

    Let us now prove that λ>λ1(Ω+). By using the fact that ϕλ is an eigenfuction of Lp,s corresponding to λ, it follows that

    Ω|ϕλ|p2ϕλ,vdx+R2n|ϕλ(x)ϕλ(y)|p2(ϕλ(x)ϕλ(y))(v(x)v(y)|xy|n+psdxdy=λΩ|ϕλ|p2ϕλvdx, for all vX1,p0(Ω).

    In consideration of the fact that ϕ+λX1,p0(Ω), we can take v=ϕ+λ as a test function.

    Now, since

    ϕ+λ(x)ϕλ(x)=0for a.e.xΩ,

    we easily get that

    (ϕ+λ(x)ϕ+λ(y))(ϕλ(x)ϕλ(y))0.

    Moreover, since both Ω+ and Ω are non-void open set (remind that ϕλ is continuous on Ω and it changes sign in Ω), we have

    R2n|ϕλ(x)ϕλ(y)|p2(ϕ+λ(x)ϕ+λ(y))(ϕλ(x)ϕλ(y))|xy|n+psdxdyΩ+Ω|ϕλ(x)ϕλ(y)|p2ϕ+λ(x)ϕλ(y)|xy|n+psdxdy<0

    and

    R2n|ϕ+λ(x)ϕ+λ(y)|p2(ϕ+λ(x)ϕ+λ(y))(ϕλ(x)ϕλ(y))|xy|n+psdxdyΩ+Ω|ϕ+λ(x)|p2ϕ+λ(x)ϕλ(y)|xy|n+psdxdy<0.

    We can therefore exploit Lemma 2.10-(1) with

    a:=ϕ+λ(x)ϕ+λ(y)andb:=ϕλ(x)ϕλ(y),

    obtaining (remind that, by assumption, p2)

    λΩ+|ϕ+λ|pdx=λΩ|ϕλ|p2ϕλϕ+λdx=Ω|ϕλ|p2ϕλ,ϕ+λdx+R2n|ϕλ(x)ϕλ(y)|p2(ϕλ(x)ϕλ(y))(ϕ+λ(x)ϕ+λ(y)|xy|n+psdxdy=Ω+|ϕ+λ|pdx+R2n|ϕλ(x)ϕλ(y)|p2(ϕλ(x)ϕλ(y))(ϕ+λ(x)ϕ+λ(y)|xy|n+psdxdy>Ω+|ϕ+λ|pdx+R2n|ϕ+λ(x)ϕ+λ(y)|p|xy|n+psdxdyλ1(Ω+)Ω+|ϕ+λ|pdx,

    where we used the variational characterization of λ1(Ω+), see (2.7). In particular, this gives that λ>λ1(Ω+). With a similar argument (see e.g., [13,Lemma 6.1]), one can show that λ>λ1(Ω) as well, and this closes the proof of Lemma 4.2.

    By virtue of Theorem 4.1 and Lemma 4.2, we can provide the

    Proof of Theorem 1.1. We split the proof into two steps.

    Step Ⅰ: In this step, we prove inequality (1.2). To this end, let ϕM(Ω) be a Lp-normalized eigenfunction associated with λ2(Ω) (recall the definition of the space M(Ω) in (2.1)). On account of Theorem 2.7, we know that ϕC(Ω).

    Moreover, since ϕ changes sign in Ω (see Proposition 2.6), we can define the non-void open sets

    Ω+:={u>0}andΩ:={u<0}.

    Then, by combining Lemma 4.2 with Theorem 4.1, we get

    λ2(Ω)>max{λ1(B+),λ1(B)}, (4.6)

    where B+ is a Euclidean ball with volume equal to |Ω+| and B is a Euclidean ball with volume |Ω|.

    Now, since Ω+Ω=Ω, we have

    |B+|+|B|=|Ω+|+|Ω||Ω|=m.

    Taking into account this inequality, we claim that

    max{λ1(B+),λ1(B)}λ1(B), (4.7)

    being B a ball of volume |Ω|/2. In order to prove (4.7), we distinguish three cases.

    (i) |B+|,|B|m/2. In this case, since λ1() is translation-invariant, we can assume without loss of generality that BB+,B; as a consequence, since λ1() is non-increasing, we obtain

    λ1(B+),λ1(B)λ1(B),

    and this proves the claimed (4.7).

    (ii) |B|<m/2<|B+|. In this case, we can assume that BBB+; from this, since λ1() is non-increasing, we obtain

    λ1(B+)λ1(B)λ1(B),

    and this immediately implies the claimed (4.7).

    (iii) |B+|<m/2<|B|. In this last case, it suffices to interchange the roles of the balls B and B+, and to argue exactly as in case (ii).

    Gathering (4.6) and (4.7), we obtain the claim in (1.2).

    Step Ⅱ: Now we prove the sharpness of (1.2). To this end, according to the statement of the theorem, we fix r>0 and we define

    Ωj:=Br(xj)Br(yj),

    where {xj}j,{yj}jRn are two sequences satisfying

    limj+|xjyj|=+. (4.8)

    On account of (4.8), we can assume that

    Br(xj)Br(yj)= for all j1. (4.9)

    Let now u0M(Br) be a Lp-normalized eigenfunction associated with λ1(Br) (here, Br=Br(0)). For every natural number j1, we set

    ϕj(x):=u0(xxj)andψj(x):=u0(xyj). (4.10)

    Since λ1() is translation-invariant, it is immediate to check that ϕj and ψj are normalized eigenfunctions associated with λ1(Br(xj)) and λ1(Br(yj)), respectively.

    Moreover, taking into account (4.9), it is easy to see that

    ϕj0onRnBr(xj)Br(yj)andψj0onRnBr(yj)Br(xj) (4.11)

    and on .

    We then consider the function defined as follows:

    Taking into account that and , it is readily seen that .

    Furthermore, the function is clearly odd and continuous. Also, using (4.9) and the fact that out of , one has

    We are thereby entitled to use in the definition of , see (2.9): setting and to simplify the notation, this gives, together with (4.9) and (4.11), that

    On the other hand, by applying Lemma 2.10-(2), we get

    where we have also used that is a normalized eigenfunction associated with the first eigenvalue .

    Summarizing, we have proved that

    (4.12)

    We now set

    and we claim that as .

    Indeed, since on , we have that

    As a consequence, recalling (4.11)

    Taking into account (4.8), we thereby conclude that

    (4.13)

    Gathering together (4.12) and (4.13), we obtain the desired result in (1.3).

    The authors are members of INdAM. S. Biagi is partially supported by the INdAM-GNAMPA project Metodi topologici per problemi al contorno associati a certe classi di equazioni alle derivate parziali. S. Dipierro and E. Valdinoci are members of AustMS. S. Dipierro is supported by the Australian Research Council DECRA DE180100957 PDEs, free boundaries and applications. E. Valdinoci is supported by the Australian Laureate Fellowship FL190100081 Minimal surfaces, free boundaries and partial differential equations. E. Vecchi is partially supported by the INdAM-GNAMPA project Convergenze variazionali per funzionali e operatori dipendenti da campi vettoriali.

    The authors declare no conflict of interest.



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