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Research article

Energy minimizing maps with prescribed singularities and Gilbert-Steiner optimal networks

  • Received: 20 October 2022 Revised: 23 February 2023 Accepted: 23 February 2023 Published: 13 March 2023
  • We investigate the relation between energy minimizing maps valued into spheres having topological singularities at given points and optimal networks connecting them (e.g., Steiner trees, Gilbert-Steiner irrigation networks). We show the equivalence of the corresponding variational problems, interpreting in particular the branched optimal transport problem as a homological Plateau problem for rectifiable currents with values in a suitable normed group. This generalizes the pioneering work by Brezis, Coron and Lieb [10].

    Citation: Sisto Baldo, Van Phu Cuong Le, Annalisa Massaccesi, Giandomenico Orlandi. Energy minimizing maps with prescribed singularities and Gilbert-Steiner optimal networks[J]. Mathematics in Engineering, 2023, 5(4): 1-19. doi: 10.3934/mine.2023078

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  • We investigate the relation between energy minimizing maps valued into spheres having topological singularities at given points and optimal networks connecting them (e.g., Steiner trees, Gilbert-Steiner irrigation networks). We show the equivalence of the corresponding variational problems, interpreting in particular the branched optimal transport problem as a homological Plateau problem for rectifiable currents with values in a suitable normed group. This generalizes the pioneering work by Brezis, Coron and Lieb [10].



    In their celebrated paper [10], Brezis, Coron and Lieb showed, in the context of harmonic maps and liquid crystals theory, the existence of a close relation between sphere-valued harmonic maps having prescribed topological singularities at given points in R3 and minimal connections between those points, i.e., optimal mass transportation networks (in the sense of Monge-Kantorovich) having those points as marginals. This relation was further enlightened by Almgren, Browder and Lieb in [4], who recovered the results in [10] by interpreting the (minimal connection) optimal transportation problem as a suitable Plateau problem for rectifiable currents having the given marginals as prescribed boundary.

    Our aim is to consider minimizing configurations for maps valued into manifolds and with prescribed topological singularities when the energy is possibly more general than the Dirichlet energy, and investigate the connection with Plateau problems for currents (or flat chains) with coefficients in suitable groups. The choice of these groups is linked to the topology of the involved target manifolds.

    In this paper we will consider the particular case where the manifold is a product of spheres and the maps have assigned point singularities, and we will show, in Theorem 1 below, that energy minimizing configurations are related with Steiner-type optimal networks connecting the given points, i.e., solutions of the Steiner problem or solutions of the Gilbert-Steiner irrigation problem. The investigation of maps with values into product of spheres arises in several physical problems, such as the study of the structure of minimizers of two-component Ginzburg-Landau functionals, where the reference (ground state) manifold is a torus (S1×S1) (see [1]), or the case of Dipole-Free 3He-A, where the order parameter takes values into (S2× SO(3))/Z2, whose covering space is S2×S3 (see [18,24]). In a companion paper in preparation we will discuss and state the results which correspond to more general situations. Let us also stress that the generalization of the results to a broader class of energies (and thus different norms) is not moot, this being the case, for instance, for dislocations in crystals (see [15]).

    Steiner tree problems and Gilbert-Steiner (single sink) problems can be formulated as follows: given n distinct points P1,,Pn in Rd, where d,n2, we are looking for an optimal connected transportation network, L=n1i=1λi, along which the unit masses initially located at P1,,Pn1 are transported to the target point Pn (single sink); here λi can be seen as the path of the ith mass flowing from Pi to Pn, and the cost of moving a mass m along a segment with length l is proportional to lmα, α[0,1]. Therefore, we are led to consider the problem

    (I)inf{Iα(L):L=n1i=1λi with {Pi,Pn}λi, for every i=1,,n1}

    where the energy Iα is computed as Iα(L)=L|θ(x)|αdH1(x), with θ(x)=n1i=11λi(x). Let us notice that θ stands for the mass density along the network. In particular, we consider the range α[0,1]:

    ● when α=0 the problem is equivalent to optimize the total length of the graph L, as in the Steiner Tree Problem (STP);

    ● when α=1 the problem (I) becomes the well-known Monge-Kantorovich problem;

    ● and when 0<α<1 the problem is known as the Gilbert-Steiner problem, or, more generally, as a branched optimal transport problem, due to the fact that the cost is proportional to a concave function θα, which favours the clustering of the mass during the transportation, thus giving rise to the branched structures which characterize the solutions (we refer the reader to [5] for an overview on the topic).

    In the last decade, the communities of Calculus of Variations and Geometric Measure Theory made some efforts to study (Gilbert-)Steiner problems in many aspects, such as existence, regularity, stability and numerical feasibility (see for example [6,7,8,9,13,14,20,21,23,25,26,27] and references therein). Among all the significant results, we would like to mention recent works in [20,21] and [6,7], which are closely related to the present paper. To be more precise, in [20,21] the authors turn the problem (I) into the problem of mass-minimization of integral currents with multiplicities in a suitable group. For the sake of readability we postpone proper definitions about currents to Section 2, in this introduction we only recall that a 1-dimensional integral current with coefficients in a group can be thought as a formal sum of finitely many curves and countably many loops with coefficients in a given normed abelian group. For instance, considering the group Zn1 and assigning to the boundary datum P1,P2,,Pn1,Pn the multiplicities e1,e2,,en1,(e1++en1), respectively (where {ei}1in1 is the basis of Rn1), we recover the standard model in [20,21].

    In fact we can interpret the network L=n1i=1λi as the superposition of n1 paths λi connecting Pi to Pn labelled with multiplicity ei. This point of view requires a density function with values in Zn1, which corresponds to the so-called 1-dimensional current with coefficients in the group Zn1. Furthermore, by equipping Zn1 with a certain norm (depending on the cost of the problem), we may define the notion of mass of those currents, and problem (I) turns out to be equivalent to the Plateau problem.

    (M)inf{M(T):T=e1δP1+e2δP2++en1δPn1(e1+e2++en1)δPn}

    where T is a 1-dimensional current with coefficients in the group Zn1 (again, we refer the reader to the Section 2 for rigorous definitions). For mass minimization, there is the very useful notion of calibration (see section 3), that is, a tool to prove minimality when dealing with concrete configurations (see Example 3.2). To be precise, a calibration is a sufficient condition for minimality, see Definition 11 and the following remarks.

    In [6,7], by using [20,21], a variational approximation of the problem (I) was provided through Modica-Mortola type energies in the planar case, and through Ginzburg-Landau type energies (see [3]) in higher dimensional ambient spaces via Γ-convergence. The corresponding numerical treatment is also shown there.

    Following [6,7,20,21], and the strategy outlined in [4] (relating the energy of harmonic maps with prescribed point singularities to the mass of 1-dimensional classical integral currents) we provide here a connection between an energy functional with its energy comparable with k-harmonic map problem with prescribed point singularities and (Gilbert-)Steiner problems (I). More precisely, let P1,,Pn1,Pn in Rd be given, and consider the spaces Hi defined as the subsets of W1,d1loc(Rd;Sd1) where the functions are constant outside a neighbourhood of the segment joining Pi,Pn and have distributional Jacobian αd1d(δPiδPn), respectively. Here αd1 is the surface area of the unit ball in Rd.

    Let ψ be a norm on Rn1 which will be specified in Section 3 (see (3.1)), and set

    H(u)=Rdψ(|u1|d1,|u2|d1,,|un1|d1)dx (1.1)

    where u=(u1,,un1)H1×H2××Hn1 is a 2-tensor. The functional H is the so-called k-harmonic energy, it is modeled on the (d1)-Dirichlet energy. We will consider here a class of energies E for maps in H1×H2××Hn1 which are suitably related to M and H, according to Definition 13 below. In this case, we investigate the problem of characterizing

    (H)inf{E(u):uH1×H2××Hn1}.

    The main contribution of this paper is the following equivalence result in the minimization problem for the mass M and an energy E which is suitably related to M and H.

    Theorem 1. Assume that a minimizer of the problem (M) admits a calibration (see Definition 11). Consider an energy functional E which is suitably related to M and H, in the sense of Definition 13. Then, we have

    infE=αd1infM (1.2)

    or equivalently, in view of paper [20,21],

    infE=αd1infIα. (1.3)

    Currently, we cannot evade the assumption on the existence of a calibration, because it is still not known if a calibration, or even a weak version of it, is not only sufficient but also a necessary condition for minimality (see Section 2). Nonetheless, dropping this assumption we can still state some partial result as follows.

    Remark 2. (ⅰ) If α=1, ψ=1, E=1(d1)d12H, then we are able to prove that (1.2) still holds true, as a variant of the main result in [10].

    (ⅱ) In case 0α<1, we obtain the following inequality

    αd1infM=αd1infIαinfEαd1infN. (1.4)

    The investigation of equality in (1.4) when 0α<1 is delicate and will be considered in forthcoming works.

    Remark 3. We believe that the assumption of the existence of a calibration is not too restrictive. We actually conjecture that minimizing configurations for the problem (M) admit a calibration in case of uniqueness, which is somehow a generic property (see [11]). We carry out in Example 3.2 the construction of configurations of n points in Rn1 with n2 branching points which are generic in character and these configurations admit a calibration.

    The organization of the paper is as follows: in Section 2, we briefly review some basic notions of Geometric Measure Theory which will be used in the paper, in Section 3 we recall (Gilbert-) Steiner problems and briefly describe their connection with Plateau's problem for currents with coefficients in a group. Finally, in Section 4 we prove the Theorem 1.

    In this section, we present the notion 1-dimensional currents with coefficients in the group Rn1 in the ambient space Rd with n,d2. We refer to [22] for a more detailed exposition of the subject.

    Consider Rn1 equipped with a norm ψ and its dual norm ψ. Denote by Λ1(Rd) the space of 1-dimensional vectors and by Λ1(Rd) the space of 1-dimensional covectors in Rd.

    Definition 4. An (Rn1)-valued 1-covector on Rd is a bilinear map

    w:Λ1(Rd)×Rn1R.

    Let {e1,e2,,en1} be an orthonormal basis of Rn1, and let {e1,e2,,en1} be its dual. Then, each (Rn1)-valued 1-covector on Rd can be represented as w=w1e1++wn1en1, where wi is a "classical" 1-dimensional covector in Rd for each i=1,,n1. To be precise, the action of w on a pair (τ,θ)Λ1(Rd)×Rn1 can be computed as

    w;τ,θ=n1i=1θiwi,τ,

    where the scalar product on the right hand side is the standard Euclidean scalar product in Rd. We denote by Λ1(Rn1,ψ)(Rd) the space of (Rn1)-valued 1-covectors in Rd, endowed with the (comass) norm:

    |w|c,ψ:=sup{ψ(w;τ,):|τ|1}.

    Similarly, we can define the notion of space (Rn1)-valued 1-vectors in Rd, Λ1,(Rn1,ψ)(Rd), endowed with pre-dual (mass) norm: for any vΛ1,(Rn1,ψ)(Rd) we define:

    |v|m,ψ:=sup{w,v:|w|c,ψ1,wΛ1(Rn1,ψ)(Rd)}=inf{Ll=1ψ(zl)|τl|:τ1,,τlΛ1(Rd),z1,,zkRn1 s.t. v=Ll=1zlτl}. (2.1)

    Definition 5. An (Rn1)-valued 1-dimensional differential form defined on Rd is a map

    ω:RdΛ1(Rn1,ψ)(Rd).

    Let us remark that the regularity of ω is inherited from the components ωi, i=1,,n1. Let φ=(φ1,,φn1) be a function of class C1(Rd;Rn1). We denote

    dφ:=dφ1e1++dφn1en1,

    where dφi is the differential of φi. Thus dφC(Rd;Λ1(Rn1,ψ)(Rd)). $

    Definition 6. A 1-dimensional current T with coefficients in (Rn1,ψ) is a linear and continuous map

    T:Cc(Rd;Λ1(Rn1,ψ)(Rd))R.

    Here the continuity is meant with respect to the (locally convex) topology on Cc(Rd;Λ1(Rn1,ψ)(Rd)) defined in analogy with the topology on Cc(Rd;R) which allows the definition of distributions. The mass of T is defined as

    M(T):=sup{T(ω):supxRd|ω|c,ψ1}.

    Moreover, if T is a 1-dimensional current with coefficients in (Rn1,ψ), we define the boundary T of T as a distribution with coefficients in (Rn1,ψ), T:Cc(Rd;(Rn1,ψ))R, such that

    T(φ):=T(dφ).

    The mass of T is the supremum norm

    M(T):=sup{T(dφ):supxRdψ(φ)1}.

    A current T is said to be normal if M(T)+M(T)<. $

    Definition 7. A 1-dimensional rectifiable current with coefficients in the normed (abelian) group (Zn1,ψ) is a (1-dimensional) normal current (with coefficients in (Rn1,ψ)) such that there exists a 1-dimensional rectifiable set ΣRd, an approximate tangent vectorfield τ:ΣΛ1(Rd), and a density function θ:ΣZn1 such that

    T(ω)=Σω(x)τ(x),θ(x)dH1(x)

    for every ωCc(Rd;Λ1(Rn1,ψ)(Rd)). We denote such a current T by the triple [[Σ,τ,θ]]. $

    Remark 8. The mass of a rectifiable current T=[[Σ,τ,θ]] with coefficients in (Zn1,ψ) can be computed as

    M(T):=sup{T(ω):supxRd|ω|c,ψ1}=Σψ(θ(x))dH1(x).

    Moreover, T:Cc(Rd;(Rn1,ψ))R is a measure and there exist x1,,xmRd, p1,,pmZn1 such that

    T(φ)=mj=1pjφ(xj).

    Finally the mass of the boundary M(T) coincides with mj=1ψ(pj). $

    Remark 9. In the trivial case n=2, we consider rectifiable currents with coefficients in the discrete group Z and we recover the classical definition of integral currents (see, for instance, [16]). $

    Finally, it is useful to define the components T with respect to the index i{1,,n1}: for every 1-dimensional test form ˜ωCc(Rd;Λ1(Rd)) we set

    Ti(˜ω):=T(˜ωei).

    Notice that Ti is a classical integral current (with coefficients in Z). Roughly speaking, in some situations we are allowed to see a current with coefficients in Rn1 through its components (T1,,Tn1).

    For future convenience we adopt the notation

    infN:=min{M(T):T is a 1-dimensional normal current with coefficients in Rn1 and T=S}, (2.2)

    where S=e1δP1++en1δPn1(e1+e2++en1)δPn is a given boundary (and {ei}ni=1 is the canonical basis of Rn1).

    When dealing with the Plateau problem in the setting of currents, it is important to remark a couple of critical features. For the sake of understandability, we recall them here for the particular case of 1-dimensional currents, but the matter does not depend on the dimension.

    Remark 10. If a boundary {P1,,Pn}Rd is given, then the problem of the minimization of mass is well posed in the framework of rectifiable currents and in the framework of normal currents as well. In both cases the existence of minimizers is due to a direct method and, in particular, to the closure of both classes of currents. Obviously

    infNmin{M(T):T rectifiable current with coefficients in Zn1 and boundary {P1,,Pn}},

    but whether the inequality is actually an identity is not known for currents with coefficients in groups. The same question about the occurence of a Lavrentiev gap between normal and integral currents holds for classical currents of dimension bigger than 1 and it is closely related to the problem of the decomposition of a normal current in rectifiable ones (see [22] for a proper overview of this issue). $

    A formidable tool for proving the minimality of a certain current is to show the existence of a calibration.

    Definition 11. Consider a rectifiable current T=[[Σ,τ,θ]] with coefficients in Zn, in the ambient space Rd. A smooth (Rn)-valued differential form ω in Rd is a calibration for T if the following conditions hold:

    (ⅰ) for a.e. xΣ we have that ω(x);τ(x),θ(x)=ψ(θ(x));

    (ⅱ) the form is closed, i.e., dω=0;

    (ⅲ) for every xRd, for every unit vector tRd and for every hZn, we have that

    ω(x);t,hψ(h).

    It is straightforward to prove that the existence of a calibration associated to a current implies the minimality of the current itself. Indeed, with the notation in Definition 11, if T=[[Σ,τ,θ]] is a competitor, i.e., T is a rectifiable current with coefficients in Zn and T=T, then

    M(T)=Σψ(θ)=Σω;τ,θ=Σω;τ,θΣψ(θ)=M(T).

    We stress that fact that the existence of a calibration is a sufficient condition for the minimality of a current, so it is always a wise attempt when a current is a good candidate for mass minimization. Nonetheless, it is also natural to wonder if every mass minimizing current has its own calibration and this problem can be tackled in two ways: for specific currents or classes of currents (such as holomorphic subvarieties) one has to face an extension problem with the (competing) constraints (ⅱ) and (ⅲ), since condition (ⅰ) already prescribes the behaviour of the form on the support of the current. In general, one may attempt to prove the existence of a calibration as a result of a functional argument, picking it in the dual space of normal currents, but this approach has two still unsolved problems:

    ● the calibration is merely an element of the dual space of normal currents, thus it is far to be smooth;

    ● this argument works in the space of normal currents and it is not known whether a minimizer in this class is rectifiable as well (see Remark 10).

    Anyway, in this specific case of currents with coefficients in Zn which match the energy minimizing networks of a branched optimal transport problem (with a subadditive cost), we think that the Lavrentiev phenomenon cannot occur, as explained in Remark 3.

    We recall the definition of distributional Jacobian of a function uW1,d1loc(Rd;Rd)Lloc(Rd;Rd), see also [2,19].

    Definition 12. Let u be in W1,d1loc(Rd;Rd)Lloc(Rd;Rd), we define the pre-jacobian juL1loc(Rd;Rd) as

    ju:=(det(u,ux2,,uxd),det(ux1,u,,uxd),,det(ux1,,uxd1,u)),

    where uxj is a Ld1loc(Rd;Rd) representative of the partial derivative of u with respect to the jth direction. Thus we define the Jacobian Ju of u as 1dd(ju) in the sense of distributions. More explicitly, if φCc(Rd;R) is a test function, then one has

    RdφJudx=1dRdφjudx. (2.3)

    The identity required in (2.3) is clearer if one notices that ju has been chosen in such a way that div(φ˜u)=φj˜u+dφdetD˜u whenever ˜u is smooth enough to allow the differential computation.

    Once the singularities of the problem P1,,Pn have been prescribed, we can also introduce the energy spaces Hi, for each i=1,,n1. By definition a map uW1,d1loc(Rd;Sd1) belongs to Hi if Ju=αd1d(δPiδPn), and there exists a radius r=r(u)>0 such that u is constant outside B(0,r(u))Pi,Pn, where B(0,r) is the open ball of radius r centered at 0.

    For any uH1××Hn1, we define the (matrix-valued) pre-jacobian of u by

    ju=(ju1,,jun1) (2.4)

    and its Jacobian by

    Ju=(Ju1,,Jun1). (2.5)

    We observe that ju is actually a 1-dimensional normal currents with coefficients in Rn1. Moreover

    1dju=Ju. (2.6)

    Definition 13. Given P1,,PnRd and a norm ψ on Rn1, a functional E defined on H1××Hn1 is said to be suitably related to M and H (see (1.1) for its definition) if the following properties hold.

    (i) M( ju)E(u), where  ju is the normal current defined by the pre-jacobian.

    (ii) If there exist an open set URd and a subset I of the set of labels 1,,n1 such that ui=ul for every pair i,lI and ui=0 otherwise, we have

    E(uXU)1(d1)d12H(uXU), (2.7)

    where XU is the characteristic function of U.

    (iii) When k=1, the functional E coincides with the harmonic energy considered in [10].

    Let us point out that requirement (ii) is taylored on the dipole construction maps u=(u1,,un1) in the Step 1 of the proof of Theorem 1.

    We consider the following problem:

    (H)inf{E(u),u=(u1,,un1)H1×H2××Hn1}.

    As indicated in the introduction, the inspiration for considering the problem (H) and comparing it with the irrigation problem (I) is coming from the works [20,21] and [4]. More precisely, [20,21] provided a new framework for the problem (I) by proving it to be equivalent to the problem of mass-minimizing currents with coefficients in the group Zn1 with a suitable norm. The point is to look at each irrigation network L=n1i=1λi encoded in the current T=(T1,,Tn1) where Ti is a classical current supported by λi, and the irrigation cost of L is the mass of the current T. Then, combining this point of view with [4] (see also [10]), where the energy of harmonic maps with prescribed point singularities was related to 1-dimensional classical currents, we are led to investigate the problem (H) in connection with problem (I).

    Before moving to the next section, we provide a candidate for the functional E satisfying the properties in Definition 13. Let u=(u1,,un1)H1××Hn1. Let e1,,en1 be the canonical basis of Rn1, and let I be a subset of {1,,n1}, then we denote by eI the sum iIei. We define the energy density e(u) at a point xRd as

    e(u)(x)=(d1)d12inf{IIeIα|uI(x)|d1:where ju(x)=IIjuI(x)eIand I is a partition of {1,,n1}}. (2.8)

    To be precise, here the matrix ju(x) is decomposed according to a partition I of the set {1,,n1} in such a way that jui(x)=jul(x) for every pair i,lI.

    As an example, take u=(u1,u2)H1×H2 for some choice of the points P1,P2,P3Rd. Then, at some point xRd, either ju1(x)ju2(x) or ju1(x)=ju2(x).

    ● If ju1(x)ju2(x), then the unique decomposition that we are allowing is j(u)(x)=ju1(x)e1+ju2(x)e2 and e(u)(x)=cd(|u1(x)|d1+|u2(x)|d1), where we abbreviated cd=(d1)d12.

    ● If ju1(x)=ju2(x), then, thanks to the subadditivity of α, the most convenient decomposition is j(u)(x)=ju1(x)(e1+e2) and e(u)(x)=cde1+e2α|u1(x)|d1.

    Finally, we consider the functional

    E(u)=Rde(u)(x)dx. (2.9)

    Proposition 14. Let ψ be the norm defined as

    ψ(h)={||||α=(n1j=1|hj|1α)αincaseα(0;1],hZn1||||0=max{h1,,hn1}incaseα=0,hZn1. (2.10)

    Let E be the functional defined above, in (2.9). If α=1, i.e., ψ=1, we choose E=1(d1)d12H. Then E is suitably related to M and H in the sense of Definition 13.

    Proof. We start with property (i). Let ωCc(Rd;Λ1(Rn1,ψ)(Rd)) be a test form with comass norm supxRd|ω|c,ψ1. By using the very definition of ||m,ψ, see (2.1), we obtain

    |ju(ω)|=|Rdju(x),ω(x)dx|Rd|ju(x)|m,ψdx. (2.11)

    On the other hand, as already observed, for a.e. xRd we have

    |ju(x)|m,ψinf{IIeIα|juI(x)|:where ju(x)=IIjuI(x)eI,I part. of {1,,n1}}.

    Observe that for any vHl, l=1,,n1, one has for a.e. xRd

    |jv(x)|1(d1)d12|v(x)|d1, (2.12)

    see also [10,Page 64], [4,A.1.3]. Therefore, we obtain that for a.e. xRd

    |ju|m,ψ(x)e(u)(x) (2.13)

    This in turn implies that

    |ju(ω)|E(u). (2.14)

    So, by the arbitrariness of ω, we conclude that

    M(ju)E(u). (2.15)

    Concerning property (ii), assume that, in some open set U, each ui is equal to either 0 or a given function vW1,d1loc(Rd,Sd1), thus in U the jacobian ju can be written as ju=jveI, for some I{1,,n}. This implies that

    e(u)(x)eIα1(d1)d12|v(x)|d1 (2.16)

    for a.e. x in the dipole, so we can conclude that

    E(uXU)H(uXU). (2.17)

    Finally, if k=1 (i.e., we have just one component u=u), it is obvious that

    e(u)=1(d1)d12|u|d1. (2.18)

    To conclude the proof, we observe that, in case α=1, that is, ψ=1, E=1(d1)d12H and this functional obviously satisfies the three properties.

    Let us briefly recall the Gilbert-Steiner problem and the Steiner tree problem and see how it can be turned into a mass-minimization problem for integral currents in a suitable group.

    Let n distinct points P1,,Pn in Rd be given. Denote by G(A) the set of all acyclic graphs L=n1i=1λi, along which the unit masses located at P1,,Pn1 are transported to the target point Pn (single sink). Here λi is a simple rectifiable curve and represents the path of the mass at Pi flowing from Pi to Pn. In [20,21], the occurrence of cycles in minimizers is ruled out, thus the problem (I) is proved to be equivalent to

    (I)inf{L|θ(x)|αdH1(x),LG(A),θ(x)=n1i=11λi(x)}

    where θ is the mass density along the network L. Moreover, in [20,21] the problem (I) can be turned into a mass-minimization problem for integral currents with coefficients in the group Zn1: the idea is to label differently the masses located at P1,P2,Pn1 (source points) and to associate the source points P1,,Pn1 to the single sink Pn. Formally, we produce a 0-dimensional rectifiable current (a.k.a. a measure) with coefficients in Zn1, given by the difference between

    μ=e1δP1+e2δP2++en1δPn1 and μ+=(e1++en)δPn.

    We recall that {e1,e2,,en} is the canonical basis of Rn1. The measures μ,μ+ are the marginals of the problem (I). To any acyclic graph L=n1i=1λi we associate a current T with coefficients in the group Zn1 as follows: to each λi associate the current Ti=[[λi,τi,ei]], where τi is the tangent vector of λi. We associate to the graph L=n1i=1λi the current T=(T1,,Tn1) with coefficients in Zn1. By construction we obtain

    T=μ+μ.

    Choosing the norm ψ on Zn1 as

    ψ(h)={||||α=(n1j=1|hj|1α)αin case α(0;1],hZn1||||0=max{h1,,hn1}in case α=0,hZn1, (3.1)

    in view of Remark 8, the problem (I) is equivalent to

    (M)inf{M(T),T=μ+μ}.

    We refer the reader to [20,21] for more details. From now on we restrict our attention to the coefficients group (Zn1,||||α), 0α1.

    Remark 15. Let u=(u1,,un1)H1××Hn1. One has

    \begin{equation} \frac{1}{\alpha_{d-1}} \partial \,\boldsymbol{ju} = \mu^{+}-\mu^{-} \end{equation} (3.2)

    We remark that turning the problem (I) into a mass-minimization problem allows to rely on the (dual) notion of calibration, which is a useful tool to prove minimality, especially when dealing with concrete configurations. We also recall that the existence of a calibration (see Definition 11) associated with a current T implies that T is a mass-minimizing current for the boundary \partial T .

    Example 16. Let us consider an irrigation problem with \alpha = \frac{1}{2} . We will consider a minimal network joining n+1 points in \mathbb{R}^{n} , the construction of the network is explained below. Let us stress that in this example the coincidence of the dimension of the ambient space with the dimension of the space of coefficients is needed.

    Adopting the point of view of [17], we propose a calibration first, and only a posteriori we construct a current which fulfills the requirement (i) in Definition 11. We briefly remind that the problem (I) can be seen as the mass-minimization problem for currents with coefficients in \mathbb{Z}^{n} with the norm \Vert \cdot \Vert_{\frac{1}{2}} .

    Let \{{\rm d}x_1, \ldots, {\rm d}x_n\} be the (dual) basis of covectors of \mathbb{R}^n = {\rm span}(e_1, \ldots, e_n) . We now prove that the differential form

    \omega = \begin{bmatrix} {\rm d}x_{1}\\ {\rm d}x_{2}\\ \vdots \\ {\rm d}x_{n} \end{bmatrix}

    satisfies conditions (ⅱ) and (ⅲ) in Definition 11. Obviously {\rm d}\omega = 0 . Moreover, let \tau = (\tau_{1}, \tau_{2}, \ldots, \tau_{n})\in \mathbb{R}^{n} be a unit vector (with respect to the Euclidean norm). Thus, for our choice of the norm \psi = \|\cdot\|_{\frac 12} we can compute \Vert \langle \omega; \tau, \cdot \rangle \Vert^{\frac{1}{2}} = (\tau_{1}^{2}+\tau_{2}^{2}+\tau_{3}^{2}+\ldots+\tau_{n}^{2})^{\frac{1}{2}} = 1 .

    We will build now a configuration of n+1 points P_{1}, P_{2}, \ldots, P_{n+1} in \mathbb{R}^{n} calibrated by \omega . Notice that the network has n-1 branching points and is somehow generic in character. More precisely, our strategy in building such a configuration is to choose end points, and branching points following the directions parallel to e_{1}, e_{2}, e_{3}, \ldots, e_{n}, e_{1}+e_{2}, e_{1}+e_{2}+e_{3}, \ldots, e_{1}+e_{2}+\ldots+e_{n-1}, e_{1}+e_{2}+\ldots+e_{n} . We illustrate the construction in \mathbb{R}^{3}, \mathbb{R}^{4} . This process can be extended to any dimension.

    ● In \mathbb{R}^{3} , let us consider P_{1} = (-1, 0, 0) , P_{2} = (0, -1, 0) , P_{3} = (1, 1, -1) , P_{4} = (2, 2, 1) , as in Figure 1. Take, as branching points, G_{1} = (0, 0, 0) , G_{2} = (1, 1, 0) . Now consider the current T = \left[\!\left[\Sigma, \tau, \theta\right]\!\right] with support \Sigma obtained by the union of the segments \overline{P_1G_1}, \overline{P_2G_1}, \overline{G_1G_2}, \overline{P_3G_2}, \overline{G_2P_4} .

    Figure 1.  The picture illustrates the construction of T .

    The multiplicity \theta is set as

    \theta(x) = \begin{cases} e_{1} & \mbox{if } x\in \overline{P_{1}G_{1}} \\ e_{2} & \mbox{if } x\in \overline{P_{2}G_{1}} \\ e_{1}+e_{2} & \mbox{if } x\in \overline{G_{1}G_{2}} \\ e_{3} & \mbox{if } x\in \overline{P_{3}G_{2}} \\ e_{1}+e_{2}+e_{3} & \mbox{if } x\in \overline{G_{2}P_{4}} \\ 0 & \mbox{elsewhere}.\\ \end{cases}

    We observe that T is calibrated by \omega , thus T is a minimal network for the irrigation problem with sources P_1, P_2 and P_3 and sink P_4 . Notice that edges of the network meet at the branching points with the 90 degrees angles, as known for branched optimal structures with cost determined by \alpha = 1/2 .

    ● In \mathbb{R}^{4} , we keep points P_{1} = (-1, 0, 0, 0) , P_{2} = (0, -1, 0, 0) , P_{3} = (1, 1, -1, 0) and, in general, the whole network of the example above as embedded in \mathbb{R}^{4} . We relabel G_{3}: = (2, 2, 1, 0) . We now pick P_{4} and P_{5} in such a way that \overrightarrow{P_4G_{3}} = e_{4} and \overrightarrow{G_{3}P_{5}} = e_{1}+e_{2}+e_{3}+e_{4} . For instance, we choose P_{4} = (2, 2, 1, -1) and P_{5} = (3, 3, 2, 1) . As before, the marginals of the irrigation problem are P_1, P_2, P_3, P_4 as sources and P_5 as sink, while G_1, G_2, G_3 are branching points.

    Let us now consider the current T = \left[\!\left[\Sigma, \tau, \theta\right]\!\right] supported on the union of segments \overline{P_1, G_1}, \overline{P_2G_1}, \overline{G_1G_2}, \overline{P_3G_2}, \overline{G_2G_3}, \overline{P_4G_3}, \overline{G_3P_5} and multiplicity \theta given by

    \theta(x) = \begin{cases} e_{1} & \mbox{if } x\in \overline{P_{1}G_{1}} \\ e_{2} & \mbox{if } x\in \overline{P_{2}G_{1}} \\ e_{1}+e_{2} & \mbox{if } x\in \overline{G_{1}G_{2}} \\ e_{3} & \mbox{if } x\in \overline{P_{3}G_{2}} \\ e_{1}+e_{2}+e_{3} & \mbox{if } x\in \overline{G_{2}G_{3}} \\ e_{4} & \mbox{if } x\in \overline{P_{4}G_{3}} \\ e_{1}+e_{2}+e_{3}+e_{4} & \mbox{if } x\in \overline{G_{3}P_{5}} \\ 0 & \mbox{elsewhere}.\\ \end{cases}

    It is easy to check that the orientation of each segment coincides with the multiplicity, therefore T is calibrated by \omega .

    ● This procedure can be replicated to construct a configuration of n+1 points P_{1}, P_{2}, \ldots, P_{n+1} in \mathbb{R}^{n} calibrated by \omega , always in the case \alpha = 1/2 .

    Example 17. We now consider a Steiner tree problem. As in the previous example, we aim to construct calibrated configurations joining n+1 points in \mathbb{R}^{n} (with n-1 branching points). Consider the following differential form:

    \omega = \begin{bmatrix} \frac{1}{2}{\rm d}x_{1}+\frac{\sqrt{3}}{2}{\rm d}x_{2}\\ \frac{1}{2}{\rm d}x_{1}-\frac{\sqrt{3}}{2}{\rm d}x_{2}\\ \frac{-1}{2}{\rm d}x_{1}-\frac{\sqrt{3}}{2}{\rm d}x_{3}\\ \frac{-1}{4}{\rm d}x_{1}+\frac{\sqrt{3}}{4}{\rm d}x_{3}-\frac{\sqrt{3}}{2}{\rm d}x_{4}\\ \frac{-1}{8}{\rm d}x_{1}+\frac{\sqrt{3}}{8}{\rm d}x_{3}+\frac{\sqrt{3}}{4}{\rm d}x_{4}-\frac{\sqrt{3}}{2}{\rm d}x_{5}\\ \vdots\\ \frac{-1}{2^{n-2}}{\rm d}x_{1}+\frac{\sqrt{3}}{2^{n-2}}{\rm d}x_{3}+\frac{\sqrt{3}}{2^{n-3}}{\rm d}x_{4}+\ldots+\frac{\sqrt{3}}{2^{n-k}}{\rm d}x_{k+1}+\ldots+\frac{\sqrt{3}}{4}{\rm d}x_{n-1}-\frac{\sqrt{3}}{2}{\rm d}x_{n} \end{bmatrix}\,.

    It is easy to check that the differential form \omega is a calibration only among those currents having multiplicities e_{1}, e_{2}, e_{3}, \ldots, e_{n}, e_{1}+e_{2}, e_{1}+e_{2}+e_{3}, \ldots, e_{1}+e_{2}+\ldots+e_{n-1}, e_{1}+e_{2}+\ldots+e_{n} and hence it will allow to prove the minimality of configurations in the class of currents with those multiplicities (cf.[12] for the notion calibrations in families). Nevertheless, it is enough to prove the minimality of global minimizers in some configurations.

    ● Consider n = 3 and P_{1} = \left(\frac{-1}{2}, \frac{\sqrt{3}}{2}, 0\right) , P_{2} = \left(\frac{-1}{2}, \frac{-\sqrt{3}}{2}, 0\right) , P_{3} = \left(\frac{\sqrt{6}}{2}-\frac{1}{2}, 0, \frac{\sqrt{3}}{2}\right) , P_{4} = \left(\frac{\sqrt{6}}{2}-\frac{1}{2}, 0, -\frac{\sqrt{3}}{2}\right) (see also the example in [7,Section 3 ]). Indeed, we observe that the lengths |\overline{P_{1}P_{2}}| = |\overline{P_{1}P_{3}}| = |\overline{P_{1}P_{4}}| = |\overline{P_{2}P_{3}}| = |\overline{P_{2}P_{4}}| = |\overline{P_{3}P_{4}}| = \sqrt{3} , meaning that the convex envelope of points P_{1}, P_{2}, P_{3}, P_{4} is a tetrahedron: this observation allows us to restrict our investigation among all currents having multiplicities e_{1}, e_{2}, e_{3}, e_{1}+e_{2}, e_{1}+e_{2}+e_{3} . More precisely, given any 1 -dimensional integral current T with \partial T = (e_{1}+e_{2}+e_{3})\delta_{P_{4}}-e_{1}\delta_{P_{1}}-e_{2}\delta_{P_{2}}-\ldots -e_{3}\delta_{P_{3}} whose support is an acyclic graph with two additional Steiner points, we can always construct a corresponding current L with multiplicities e_{1}, e_{2} , e_{1}+e_{2} , e_{1}+e_{2}+e_{3} having the same boundary with T such that \mathbb{M}(T) = \mathbb{M}(L) thanks to the symmetric configuration P_{1}, P_{2}, P_{3}, P_{4} combined with the fact that any minimal configuration cannot have less than two Steiner points. Indeed, by contradiction, if a minimal configuration for the vertices of a tetrahedron had 1 Steiner point, then this configuration would violate the well-known property of the 120 degrees angles at Steiner points. Therefore, \omega calibrates the current T = \left[\!\left[\Sigma, \tau, \theta\right]\!\right] , where S_{1} = (0, 0, 0), S_{2} = \left(\frac{\sqrt{6}}{2}-1, 0, 0\right) are the Steiner points, \Sigma = \overline{P_{1}S_{1}}\cup \overline{P_{2}S_{1}} \cup \overline{S_{1}S_{2}} \cup \overline{P_{3}S_{2}} \cup \overline{S_{2}P_{4}} and the multiplicity is given by

    \theta(x) = \begin{cases} e_{1} & \mbox{if } x\in \overline{P_{1}S_{1}} \\ e_{2} & \mbox{if } x\in \overline{P_{2}S_{1}} \\ e_{1}+e_{2} & \mbox{if } x\in \overline{S_{1}S_{2}} \\ e_{3} & \mbox{if } x\in \overline{P_{3}S_{2}} \\ e_{1}+e_{2}+e_{3} & \mbox{if } x\in \overline{S_{2}P_{4}} \\ 0 & \mbox{elsewhere}\,.\\ \end{cases}

    ● Using the same strategy of Example 3.2, we can build a configuration P_{1}, P_{2}, P_{3}, P_{4}, P_{5} in \mathbb{R}^{4} starting from the points P_{1}, P_{2}, P_{3}, P_{4} above, in such a way that the new configuration is calibrated by \omega among all currents with multiplicities e_{1}, e_{2}, e_{3}, e_{4}, e_{1}+e_{2}, e_{1}+e_{2}+e_{3}, e_{1}+e_{2}+e_{3}+e_{4} . This construction can be extended to any dimension.

    The proof of Theorem 1 is much in the spirit of the dipole construction of [4,10] (in the version of [2]), the properties of the functional \mathbb{E} , and making use of the existence of calibration.

    Proof. Let \mathbb{E} be the functional which fulfills the requirements of Definition 13. In the first steps we prove the inequality

    \inf{\mathbb{E}}\leq \alpha_{d-1} \inf{I_\alpha}.

    We briefly recall the dipole construction (see, for instance, [10,Theorem 3.1,Theorem 8.1]). Given a segment \overline{AB}\subset \mathbb{R}^d and a pair of parameters \beta, \gamma > 0 , we define

    \begin{equation} U: = \{x\in \mathbb{R}^d:\,{\rm dist}(x,\overline{AB}) < \min\{\beta,\gamma\,{\rm dist}(x,\{A,B\})\}\}\subset \mathbb{R}^d \end{equation} (4.1)

    to be a pencil-shaped neighbourhood with core \overline{AB} and parameters \beta, \gamma . For any fixed \varepsilon > 0 , the dipole construction produces a function u\in W^{1, d-1}_{\rm loc}(\mathbb{R}^{d}; \mathbb{S}^{d-1}) with the following properties:

    u\equiv (0, \ldots, 0, 1) in \mathbb{R}^d\setminus U ;

    Ju = \frac{\alpha_{d-1}}{d}(\delta_{A}-\delta_{B}) ;

    ● moreover the map u satisfies the following inequality

    \begin{equation} \frac{1}{(d-1)^{\frac{d-1}{2}}\alpha_{d-1}}\int_{ \mathbb{R}^{d}}|\nabla u|^{d-1}dx \leq |AB|+\varepsilon\,, \end{equation} (4.2)

    Step 1. Let L = \bigcup_{i = 1}^{n-1}\lambda_i be an acyclic connected polyhedral graph, and T be the associated current with coefficients in \mathbb{Z}^{n-1} corresponding to L . Since L is polyhedral, it can also be written as L = \bigcup_{j = 1}^{k} I_{j} , where I_j are weighted segments. For each segment I_{j} we can find parameters \delta_j, \gamma_j > 0 such that the pencil-shaped neighbourhood U_j = \left\{ x \in \mathbb{R}^d:\, \text{dist}(x, I_{j}) \leq \min \left\{ \beta_{j}, \gamma_j\text{dist}(x, \partial I_{j}) \right\} \right\} (modelled after (4.1), see also Figure 2) is essentially disjoint from U_\ell for every \ell\neq j . Then, for every i = 1, \ldots, n-1 , let V_{i} = \bigcup_{j\in K_i} U_j be a sharp covering of the path \lambda_{i} . To be precise, we choose K_i\subset\{1, \ldots, k\} such that V_i\cap U_\ell is at most an endpoint of the segment I_\ell , if \ell\notin K_i .

    Figure 2.  A dipole construction of a Y-shaped graph connecting 3 points.

    For each path \lambda_i , i = 1, \ldots, n-1 , we build the map u_{i}\in H_{i} in such a way that it coincides with a dipole associated to the segment I_j in the neighbourhood U_j for each j\in K_i . We put u_i\equiv (0, \ldots, 0, 1) in \mathbb{R}^d\setminus V_i .

    We obtain that u_{i}\in W^{1, d-1}_{\rm loc}(\mathbb{R}^{d}; \mathbb{S}^{d-1}) and satisfies Ju_{i} = \frac{\alpha_{d-1}}{d}(\delta_{P_{i}}-\delta_{P_{n}}) . Moreover, summing up inequality (4.2) repeated for each segment I_j with j\in K_i , the following inequality holds

    \begin{equation*} \frac{1}{(d-1)^{\frac{d-1}{2}}\alpha_{d-1}}\int_{ \mathbb{R}^{d}}|\nabla u_{i}|^{d-1}dx \leq \mathbb{M}(T_{i})+k\varepsilon\,, \end{equation*}

    where T_{i} is the (classical) integral current corresponding to the i^{\rm th} component of T .

    In particular, let us stress that the maps u_1, \ldots, u_{n-1} have the following further property: if some paths \lambda_{i_1}, \lambda_{i_2}, \ldots, \lambda_{i_m} have a common segment I_j for some j\in K_{i_1}\cap K_{i_2}\cap\ldots\cap K_{i_m} , then u_{i_1}, \ldots, u_{i_m} agree in U_j . Furthermore, setting h_{i_{1}, i_{2}, \ldots, i_{m}} = (0, \ldots, |\nabla u_{i_{1}}|^{d-1}, \ldots, |\nabla u_{i_{m}}|^{d-1}, \ldots, 0) , we obtain

    \begin{equation*} \frac{1}{(d-1)^{\frac{d-1}{2}}\alpha_{d-1}}\int_{U_j}||h_{i_{1}, i_{2},\ldots,i_{m}}||_{\alpha}dx \leq m^{\alpha}(|I_j|+k\varepsilon)\,, \end{equation*}

    where h_{i_{1}, i_{2}, \ldots, i_{m}} = (0, \ldots, |\nabla u_{i_{1}}|^{d-1}, \ldots, |\nabla u_{i_{m}}|^{d-1}, \ldots, 0) . This holds for every \alpha\in[0, 1] .

    Combining all the previous observations, we can conclude that, given any \tilde \varepsilon > 0 , there exist u_{i}\in H_{i} , i = 1, \ldots, n-1 such that

    \begin{align*} \int_{ \mathbb{R}^{d}} ||(|\nabla u_{1}|^{d-1}, |\nabla u_{2}|^{d-1},\ldots,|\nabla u_{n-1}|^{d-1})||_{\alpha}\,dx \leq & (d-1)^{\frac{d-1}{2}}\alpha_{d-1} \int_{L}|\theta (x)|^{\alpha}d\mathcal{H}^{1}(x)+\tilde \varepsilon \\ = & (d-1)^{\frac{d-1}{2}}\alpha_{d-1}\mathbb{M}(T)+\tilde \varepsilon\,, \end{align*}

    where \theta(x) = \sum_{i = 1}^{n-1} \textbf{1}_{\lambda_i}(x) . Thus, by the properties of \mathbb{E} , one obtain that

    \begin{equation} \inf \mathbb{E} \leq \mathbb{E}(\textbf{u})\leq \frac{1}{(d-1)^{\frac{d-1}{2}}} \mathbb{H}(\textbf{u}) \leq \alpha_{d-1}\mathbb{M}(T)+\tilde \varepsilon. \end{equation} (4.3)

    Step 2. Considering an arbitrary acyclic graph L = \bigcup_{i = 1}^{n-1}\lambda_i , there is a sequence of acyclic polyhedral graphs \left(L_{m} \right)_{m\ge 1} , L_{m} = \bigcup_{i = 1}^{n-1}\lambda^{m}_i such that the Hausdorff distance d_{H}(\lambda^m_i, \lambda_i) \leq \frac{1}{m} , moreover (see [6,Lemma 3.10 ]) denoting by T and T_{m} the associated currents with coefficients in \mathbb{Z}^{n-1} we also have that

    \mathbb{M}(T_{m}) = \int_{L_{m}}|\theta_{m}(x)|^{\alpha}\,d\mathcal{H}^{1}(x) \leq \mathbb{M}(T) = \int_{L}|\theta(x)|^{\alpha}\,d\mathcal{H}^{1}(x) +\frac{1}{m}.

    here \theta_{m}(x) = \sum_{i = 1}^{n-1} \textbf{1}_{\lambda_i^{m}}(x) . On the other hand, by previous construction there exists a sequence \lbrace {\textbf u}_{m} \rbrace_{m} , {\textbf u}_{m} = (u_{1, m}, \ldots, u_{n-1, m})\in H_{1}\times \ldots \times H_{n-1} such that

    \begin{align*} \inf \mathbb{E} \leq \mathbb{E}(\textbf{u}_{m})\leq \frac{1}{(d-1)^{\frac{d-1}{2}}} \mathbb{H}(\textbf{u}_{m}) &\leq \alpha_{d-1} \int_{L_{m}}|\theta_{m}(x)|^{\alpha}d\mathcal{H}^{1}(x)+\frac{1}{m}\\ & = \alpha_{d-1}\mathbb{M}(T_{m})+\frac{1}{m}\\ &\leq \alpha_{d-1}\mathbb{M}(T)+\frac{1+\alpha_{d-1}}{m}\\ & = \alpha_{d-1} \int_{L}|\theta(x)|^{\alpha}d\mathcal{H}^{1}(x)+\frac{1+\alpha_{d-1}}{m}.\,,\\ \end{align*}

    This implies that

    \begin{equation} \inf{\mathbb{E}}\leq \alpha_{d-1} \inf{I_\alpha} = \alpha_{d-1} \inf \mathbb{M}. \end{equation} (4.4)

    On the other hand, by the properties (i) of Definition 13, we also have that for any \textbf{u} = (u_1, \ldots, u_{n-1})\in H_{1}\times \ldots \times H_{n-1}

    \begin{equation} \alpha_{d-1} \inf \mathbb{N} \leq \mathbb{M}(\textbf{ju}) \leq \mathbb{E}(\textbf{u}) \end{equation} (4.5)

    (see Remark 15 to see why the constant \alpha_{d-1} appears in front of \inf \mathbb{N} and also see (2.2) for the definition of \inf \mathbb{N} ). This allows us to conclude that

    \begin{equation} \alpha_{d-1} \inf \mathbb{N} \leq \inf \mathbb{E}. \end{equation} (4.6)

    Therefore we obtain the following inequality:

    \begin{equation} \alpha_{d-1} \inf \mathbb{N} \leq \inf{\mathbb{E}}\leq \alpha_{d-1} \inf{I_\alpha} = \alpha_{d-1} \inf \mathbb{M}. \end{equation} (4.7)

    By assumption, a minimizer of the problem (M) admits a calibration, we have

    \begin{equation} \inf \mathbb{N} = \inf \mathbb{M} = \inf{I_\alpha}. \end{equation} (4.8)

    this also means that

    \begin{equation} \alpha_{d-1}\inf \mathbb{N} = \alpha_{d-1}\inf \mathbb{M} = \alpha_{d-1}\inf{I_\alpha} = \inf \mathbb{E} \end{equation} (4.9)

    which is the sought conclusion.

    Remark 18. In the proof of Theorem 1, step 3, we must assume the existence of a calibration \omega . Observe that, without this assumption, we still can deduce from that

    \begin{equation} \alpha_{d-1} \inf{\mathbb{M}} = \alpha_{d-1}\inf{I_\alpha} \geq \inf{\mathbb{E}} \geq \alpha_{d-1}\, \inf{\mathbb{N}} \end{equation} (4.10)

    where \inf{\mathbb{N}} is the infimum of the problem obtained measuring the mass among 1 -dimensional normal currents with coefficients in \mathbb{R}^{n-1} (see (2.2)).

    Moreover, in case \alpha = 1 , \psi = \| \cdot \|_{1} , \mathbb{E} = \mathbb{H} . First, (I) turns out to coincide with the Monge-Kantorovich problem. Then,

    \inf{\mathbb{H}}\geq (d-1)^{\frac{d-1}{2}}\alpha_{d-1} \inf{I_\alpha} = (d-1)^{\frac{d-1}{2}}\alpha_{d-1} \inf{\mathbb{M}\,.}

    To see this is to use the results of Brezis-Coron-Lieb [10] separately for each map u_{i} , i = 1, \ldots, n-1 , for the energy

    \mathbb{H}({\textbf u}) = \int_{ \mathbb{R}^{d}}(|\nabla u_{1}|^{d-1}+ |\nabla u_{2}|^{d-1}+\ldots+|\nabla u_{n-1}|^{d-1})\,dx\,,

    where, again, {\textbf u} = (u_{1}, \ldots, u_{n-1})\in H_{1}\times \ldots \times H_{n-1} . The investigation of equality cases in (4.10) , when 0\leq \alpha < 1 , will be considered in forthcoming works.

    The authors are partially supported by GNAMPA-INdAM. The research of the third author has been supported by European Union's Horizon 2020 programme through project 752018 and by STARS@unipd project "QuASAR – Questions About Structure And Regularity of currents" (MASS_STARS_MUR22_01).

    The authors wish to warmly thank Giacomo Canevari for extremely fruitful and enlightening discussions.

    The authors declare no conflict of interest.



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