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Research article

Isoperimetric planar clusters with infinitely many regions

  • Received: 12 November 2021 Revised: 10 May 2022 Accepted: 08 July 2022 Published: 21 April 2023
  • In this paper we study infinite isoperimetric clusters. An infinite cluster E in Rd is a sequence of disjoint measurable sets EkRd, called regions of the cluster, k=1,2,3, A natural question is the existence of a cluster E with given volumes ak0 of the regions Ek, having finite perimeter P(E), which is minimal among all the clusters with regions having the same volumes. We prove that such a cluster exists in the planar case d=2, for any choice of the areas ak with ak<. We also show the existence of a bounded minimizer with the property P(E)=H1(˜E), where ˜E denotes the measure theoretic boundary of the cluster. Finally, we provide several examples of infinite isoperimetric clusters for anisotropic and fractional perimeters.

    Citation: Matteo Novaga, Emanuele Paolini, Eugene Stepanov, Vincenzo Maria Tortorelli. Isoperimetric planar clusters with infinitely many regions[J]. Networks and Heterogeneous Media, 2023, 18(3): 1226-1235. doi: 10.3934/nhm.2023053

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  • In this paper we study infinite isoperimetric clusters. An infinite cluster E in Rd is a sequence of disjoint measurable sets EkRd, called regions of the cluster, k=1,2,3, A natural question is the existence of a cluster E with given volumes ak0 of the regions Ek, having finite perimeter P(E), which is minimal among all the clusters with regions having the same volumes. We prove that such a cluster exists in the planar case d=2, for any choice of the areas ak with ak<. We also show the existence of a bounded minimizer with the property P(E)=H1(˜E), where ˜E denotes the measure theoretic boundary of the cluster. Finally, we provide several examples of infinite isoperimetric clusters for anisotropic and fractional perimeters.



    A finite cluster E is a sequence E=(E1,Ek,,EN) of Lebesgue measurable sets in Rd, such that |EkEj|=0 for kj, where || denotes the Lebesgue measure (usually called volume). The sets Ej are called regions of the cluster E, and E0:=RdNk=1Ek is called the external region. We denote the sequence of volumes of the regions of the cluster E as

    m(E):=(|E1|,|E2|,,|EN|) (1.1)

    and call the perimeter of the cluster the quantity

    P(E):=12[P(E0)+Nk=1P(Ek)], (1.2)

    where P(A) stands for the Caccioppoli perimeter of the set A. A cluster E is called minimal, or isoperimetric, if

    P(E)=min{P(F):m(F)=m(E)}.

    In this paper we consider infinite clusters, i.e., infinite sequences E=(Ek)k1 of essentially pairwise disjoint regions: |EjEi|=0 for ij (this can be interpreted as a model for a soap foam). We define E0:=Rdk=1Ek, i.e., the external region of the cluster E. The perimeter of an infinite cluster E is defined by Eq (1.2) with N:=+. Note that a finite cluster with N regions can also be considered a particular case of an infinite cluster, for example by posing Ek:= for k>N. Clusters with infinitely many regions of equal area were considered in [13], where it has been shown that the honeycomb cluster is the unique minimizer with respect to compact perturbations. Infinite clusters have been considered also in [4, 14, 16] dealing with Apollonian packing, in [18] where variational curvatures are prescribed rather than volumes, and in [24], where the existence of generalized minimizers for both finite and infinite isoperimetric clusters has been proven in the general setting of homogeneous metric measure spaces.

    Note that very few explicit examples of minimal clusters are known [11,15,20,26,27], and only with a finite (and quite small) number of regions. An example of an infinite minimal cluster, described in details in Example 4.1, is the Apollonian packing of a circle shown in Figure 1 (see [16]). In fact, this cluster is composed of isoperimetric regions and hence should trivially have minimal perimeter among clusters with regions of the same areas. However, it turns out that this cluster has an infinite perimeter; hence all clusters with the same prescribed areas have an infinite perimeter too. Nevertheless, quite curiously, Apollonian packings of a circle give nontrivial examples of infinite isoperimetric clusters for fractional perimeters [5,7,8], as shown in Example 4.1. An even simpler example of an infinite isoperimetric planar cluster is given in Example 4.2 (see Figure 1) where the Caccioppoli perimeter is replaced by an anisotropic perimeter functional. For general results about finite clusters minimizing anisotropic perimeters, we refer to [1,6,9,17,22,23].

    Figure 1.  The Apollonian gasket; on the left, is a cluster with a minimal fractional perimeter. On the right is a similar construction with squares: this is a minimal cluster with respect to the perimeter induced by the Manhattan distance.

    Our main result, Theorem 3.1, states that if d=2 (the planar case), given any sequence of positive numbers a=(a1,a2,,ak,) such that k=0ak<+, there exists a minimal cluster E in R2 with m(E)=a and with finite perimeter. The assumption on a in fact is necessary to have at least a competitor cluster with a finite perimeter. The proof relies on two facts that are only available in the planar case: the isodiametric inequality for connected sets and the semicontinuity of the length (i.e., the one-dimensional Hausdorff measure) of connected sets (Gołąb theorem).

    In dimension d>2, very few results are currently known. Existence can be obtained only in a generalized sense, as shown in [24], and we cannot even exclude that ˜E=Rd.

    For a set ERd with finite perimeter one can define the reduced boundary E as the set of boundary points x where the outer normal vector νE(x) can be defined. One has D1E=νEHd1E where 1E is the characteristic function of E and D1E is its distributional derivative (the latter is a vector valued measure and its total variation is denoted by |D1E|). We use a version of the measure theoretic boundary of a measurable set E defined by

    ˜E:={xRd:0<|EBρ(x)|<|Bρ(x)|for allρ>0}.

    The respective notions for clusters can be defined by setting

    E:=+k=1k1j=0EkEj,˜E:={xRd:0<|EkBρ(x)|<|Bρ(x)|for allρ>0andsomek=k(ρ,x)N}.

    Clearly E˜E because given an xE, there exists a k such that xEk, while ˜Ek˜E for all k. Also it is easy to check that ˜E is closed (and in fact is the closure of the union of all the measure theoretic boundaries ˜Ek). Moreover the following result holds true.

    Proposition 2.1. If E is a cluster with finite perimeter, then P(E)=Hd1(E).

    Proof. Consider the sets Xn, defined for 1n by

    Xn:={xRd:#{kN:xEk}=n}

    (notice that k=0N, the external region, is included in the count). It is clear that Xn= for all n3 because in every point of Ek there is an approximate tangent hyperplane which can only be shared by two regions.

    We claim that Hd1(X1)=0. To this aim suppose by contradiction that Hd1(X1)>0. Then there exists a jN such that

    |D1Ej|(X1)=Hd1(X1Ej)>0,

    because X1 is contained in the countable union (j=0X1)Ej. Hence there is a subset AX1Ej such that D1Ej(A)0. Notice that k=01Ek=1, hence also kD1Ek=0 in the sense of distributions. Moreover, if P(E)<+ the above convergence holds also in the sense of vector measures (in total variation), hence kD1Ek(A)=0. Since D1Ej(A)0, there must exist at least another index kj such that D1Ek(A)0, and therefore Hd1(AEk)>0. But then

    AEkX1EjEk,jk,

    contrary to the definition of X1, which proves the claim. In conclusion, the union of all the reduced boundaries Ek is contained in X2 up to an Hd1-negligible set. Hence

    P(E)=12+k=0P(Ek)=12+k=0Hd1(EkX2)==12+k=0jkHd1(EkEj)=+k=0+j=k+1Hd1(EkEj)==Hd1(+k=0+j=k+1EkEj)=Hd1(E)

    as claimed.

    In the following theorem we collect some known existence and regularity results for finite minimal clusters from [19,21].

    Theorem 2.2 (existence and regularity of planar N-clusters). Let a1,a2, ,aN be given positive real numbers. Then there exists a minimal N-cluster E=(E1,EN) in Rd, with |Ek|=ak for k=1,,N. If E is a minimal N-cluster and d=2, then ˜E is a pathwise connected set composed by circular arcs or line segments joining in triples at a finite number of vertices. Moreover in this case P(E)=H1(˜E).

    Proposition 2.3 (cluster truncation). Let E=(E1,,Ek,) be a (finite or infinite) cluster and let TNE be the N-cluster (E1,,EN).

    Then

    P(TNE)P(E).

    Proof. For measurable sets E,F the inequality

    P(EF)+P(EF)P(E)+P(F)

    holds, hence if |EF|=0, one has

    P(E)=P((EF)(RdF))P(EF)+P(F).

    It follows that

    2P(TNE)=nk=1P(Ek)+P(nk=1Ek)nk=1P(Ek)+P(k=1Ek)+P(k=n+1Ek)nk=1P(Ek)+P(k=1Ek)+k=n+1P(Ek)=k=1P(Ek)+P(k=1Ek)=2P(E)

    as claimed.

    Lemma 2.4. Let E be a measurable set and Ω be an open connected set. If ˜EΩ=, then either |ΩE|=0 or |ΩE|=0.

    Proof. Notice that Ω˜E=A0A1, where

    A0:={xΩ:|Bρ(x)E|=0for some ρ>0},A1:={xΩ:|Bρ(x)E|=0for someρ>0}.

    It is clear that A0 and A1 are open disjoint sets, and if ˜EΩ=, then their union is the whole set Ω. If Ω is connected, it implies that either A0 or A1 is equal to Ω which means that either |ΩE|=0 or |ΩE|=0.

    The statement below provides existence of infinite planar isoperimetric clusters.

    Theorem 3.1 (existence). Let a=(a1,,ak,) be a sequence of nonnegative numbers such that k=1ak<. Then there exists a minimal cluster E in R2, with m(E)=a satisfying additionally

    k=1Ekisbounded, (3.1)
    ˜Eispathwiseconnected, (3.2)
    H1(˜EE)=0. (3.3)

    Remark 3.2. In view of Eq (3.3) and Proposition 2.1, for the minimal cluster provided by Theorem 3.1, one has

    P(E)=H1(˜E)=H1(E). (3.4)

    Of course there exists a set with finite perimeter E such that P(E)<H1(˜E), so that Eq (3.4) is false for general clusters that are not minimal.

    It is interesting to note that, as shown in Example 4.3, there exists a finite cluster E satisfying Eq (3.4), for which one does not have P(Ek)=H1(˜Ek) for all k. It would be interesting to see whether these equalities hold for minimal clusters.

    Proof. Let ˉp:=2πk=1ak<+, and

    p:=inf{P(E):EclusterinR2with|Ek|=ak,k=1,2,,n,},pn:=inf{P(E):EnclusterinR2with|Ek|=ak,k=1,,n},

    so that a cluster E with measures m(E)=a is minimal, if and only if P(E)=p, while an n-cluster E with measures |Ek|=ak for k=1,,n is minimal, if and only if P(E)=pn.

    If E is a competitor for p, then TnE is a competitor for pn and, by Proposition 2.3, one has P(TnE)P(E). Hence pnp. Moreover one can build a competitor for p which is composed by circular disjoint regions (B1,,Bj,), where Bj are disjoint balls of radii ajπ, to find that pˉp<+.

    For each n1 consider a minimal n-cluster Fn with |Fnk|=ak for kn, and Fnk:= for k>n, so that P(Fn)=pn. By the regularity properties of minimal clusters (Theorem 2.2), the boundary ˜Fn is connected and composed by a finite union of circular arcs, hence diam˜Fnpnˉp. Up to translations, we shall suppose that all the regions Fnk of all the clusters Fn are contained in a ball of radius ˉp. In fact,

    ˉppsupnpn=supnP(Fn)supndiam˜Fn.

    Up to a subsequence we can hence assume that the first regions Fn1 converge to a set E1 in the sense that their characteristic functions 1Fn1 converge to the characteristic function 1E1 in the Lebesgue space L1(R2) as n (we call this convergence L1 convergence of sets). Analogously, up to a sub-subsequence also the second regions Fn2 converge in L1 sense to a set E2. In this way we define inductively the sets Ek for all k1. Then there exists a diagonal subsequence with indices nj such that for all k one has FnjkEk in L1 for all k1 as j+.

    Consider the cluster E with the regions Ek defined above. By continuity we have m(E)=a because FnjkEk in L1 as j and |Fnjk|=ak for all j. We claim that the union of all the regions of Fnj also converges to the union of all the regions of E. For all ε>0 take N such that k=N+1akε and notice that

    (k=1Ek)(k=1Fnjk)Nk=1(EkFnjk)k=N+1Ekk=N+1Fnjk.

    Hence

    lim supj|k=1Ekk=1Fnjk|limjNk=1|EkFnjk|+2ε=2ε.

    Letting ε0 we obtain the claim.

    By the lower semicontinuity of the perimeter, we have

    P(Ek)lim infj+P(Fnjk)andP(+k=1Ek)lim infj+P(+k=1Fnjk),

    and hence P(E)lim infjP(Fnj)p, proving that E is actually a minimal cluster. Since all the regions Fnk are equibounded, we obtain Eq (3.1).

    We are going to prove Eq (3.3). By Theorem 2.2 the minimal n-cluster Fn has a measure theoretic boundary ˜Fn which is a compact and connected set such that P(Fn)=H1(˜Fn). Up to a subsequence, the compact sets ˜Fnj, being uniformly bounded, converge with respect to the Hausdorff distance, to a compact set K. Without loss of generality suppose nj is labeling this new subsequence.

    We claim that ˜EK. In fact for any given x˜E and any ρ>0 there exists k=k(ρ) such that Bρ(x)Ek and Bρ(x)Ek both have positive Lebesgue measure. Since |Bρ(x)Fnjk||Bρ(x)Ek|>0 and |Bρ(x)Fnjk||Bρ(x)Ek|>0 for j=j(ρ) sufficiently large by Lemma 2.4, there is a point xjkBρ(x)˜Fnjk. As ρ0 the sequence xjk converges to x, and since ˜Fnjk˜Fnj we conclude that xK.

    The sets ˜Fn are connected, and therefore, by the classical Gołąb theorem on semicontinuity of one-dimensional Hausdorff measure over sequences of connected sets (see [3,Theorem 4.4.17] or [25,theorem 3.3] for its most general statement and a complete proof), one has

    H1(K)lim infnH1(˜Fn)

    and K is itself connected. Summing up and using Proposition 2.1, we get

    P(E)=H1(E)H1(˜E)H1(K)lim infnP(Fn)lim supnpnpP(E), (3.5)

    hence H1(E)=H1(˜E)=H1(K), pnp, and Eq (3.3) follows.

    Finally, to prove that ˜E is connected, it is enough to show ˜E=K. We already know that ˜EK so we suppose by contradiction that there exists an xK˜E. Take any yK. The set K is arcwise connected by rectifiable arcs, since it is a compact connected set of finite one-dimensional Hausdorff measure (see e.g., [10,lemma 3.11] or [3,theorem 4.4.7]), in other words, there exists an injective continuous curve γ:[0,1]K with γ(0)=x and γ(1)=y. Since ˜E is closed in K there is a small ε>0 such that γ([0,ε])K˜E, and hence H1(K˜E)>0 contrary to H1(K)=H1(˜E). This contradiction shows the last claim and hence concludes the proof.

    We collect here some interesting examples of infinite planar clusters.

    Example 4.1 (Apollonian packing). A cluster E, as depicted in Figure 1, can be constructed so that each region Ek=Brk(xk), k0, is a ball contained in the ball B:=B1(0). The balls can be chosen to be pairwise disjoint and such that |Bk=1Ek|=0 (see [16]).

    Clearly such a cluster must be minimal because each region Ek has the minimum possible perimeter among sets with the given area and the same is true for the complement of the exterior region E0 which is their union. However, one has P(E)=+. In fact, H1(E)=0 since EkEj is either empty or a singleton for all kj, and by Proposition 2.1 if P(E)<+ one would have P(E)=H1(E)=0, while on the other hand P(E)>P(E0)/2>0, a contradiction.

    Note that this is a quite pathological example of an infinite cluster for which H1(E)=0 but both P(E)=+ and H1(˜E)=+. In fact, the measure theoretic boundary ˜E of this cluster is the residual set, i.e. the set of zero measure which remains when the balls Ek are removed from the large ball ¯B:

    ˜E=¯B+k=1Brk(xk). (4.1)

    This set has Hausdorff dimension d>1 (see [14]) and hence H1(˜E)=+.

    However we can consider the fractional (nonlocal) perimeter Ps defined by

    Ps(E):=ER2E1|xy|2+sdxdy

    which induces the respective nonlocal perimeter Ps(E) of the cluster E by means of definition (1.2) with Ps in place of P. If rk is the radius of the k-th disk of the cluster it turns out (see [4]) that the infimum of all α, such that the series krαk converges, is equal to d, the Hausdorff dimension of ˜E. Since d(1,2) for all s<2d, we have

    kr2sk<+,

    and since Ps(Br)=Cr2s (with 0<C<+), we obtain Ps(E)<+ for such s. It is well known (see [12]) that the solution to the fractional isoperimetric problem is given by balls, hence E provides an example of an infinite minimal cluster with respect to the fractional perimeter Ps.

    Example 4.2 (Anisotropic isoperimetric packing). We can find a similar example, if we consider an anisotropic perimeter such that the isoperimetric problem has the square (instead of the circle) as a solution. If ϕ is any norm on R2, one can define the perimeter Pϕ which is the relaxation of the functional Pϕ defined on regular sets ER2 by the formula

    Pϕ(E):=Eϕ(νE(x))dH1(x),

    where νE(x) is the exterior unit normal vector to the reduced boundary E in x. If ϕ(x,y)=|x|+|y| (the Manhattan norm) it is well known that the Pϕ-minimal set with prescribed area (i.e., the Wulff shape) is a square with sides parallel to the coordinate axes (which is the ball for the dual norm). It is then easy to construct an infinite cluster E=(E1,,Ek), where each Ek is a square and also the union of all such squares is a square, see Figure 1. By iterating such a construction it is not difficult to understand that given any sequence ak, k=1,2, of numbers such that their sum is equal to 1 and each number is a power of 14, it is possible to find a cluster E with m(E)=a such that each Ek is a square and the union kEk is the unit square.

    Example 4.3 (Cantor circles). See Figure 2 and [2,example 2 pp. 59]. Take a rectangle R divided in two by a segment S on its axis. Let C be a Cantor set with positive measure constructed on S. Consider the set E3 which is the union of the balls with diameter on the intervals composing the complementary set SC. Let E1 and E2 be the two connected components of R¯E3. It turns out that the 3-cluster E=(E1,E2,E3) has finite perimeter and the perimeter of E is represented by the Hausdorff measure of the boundary

    P(E)=H1(˜E).
    Figure 2.  An example of a cluster E with finite perimeter such that P(E)=H1(˜E), but P(E3)<H1(˜E3).

    However the same is not true for each region. In fact the boundary ˜E3 of the region E3 includes C and hence

    P(E3)<H1(˜E3).

    The first and second authors are members of the INDAM/GNAMPA and were supported by the PRIN Project 2019/24. The work of the third author has been partially financed by the RFBR grant #20-01-00630 A

    The authors declare that there is no conflict of interest.



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