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Optimal gradient estimates for multi-phase integrals

  • We prove sharp reverse Hölder inequalities for minima of multi-phase variational integrals and apply them to Calderón-Zygmund estimates for nonhomogeneous problems.

    Citation: Cristiana De Filippis. Optimal gradient estimates for multi-phase integrals[J]. Mathematics in Engineering, 2022, 4(5): 1-36. doi: 10.3934/mine.2022043

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  • We prove sharp reverse Hölder inequalities for minima of multi-phase variational integrals and apply them to Calderón-Zygmund estimates for nonhomogeneous problems.



    In this paper we complete the regularity theory started in [36] for local minimizers of multi-phase functionals, i.e., variational integrals of the type

    W1,p(Ω)wH(w,Ω):=Ω|Dw|p+κν=1aν(x)|Dw|pν dx,

    where the modulating coefficients {aν}κν1 and exponents (p,p1,,pκ) satisfy

    0aν()C0,αν(Ω)and1<p<minνIκpν (1.1)

    and the shorthands

    Iκ:={1,,κ}andH(x,z):=|z|p+κν=1aν(x)|z|pν (1.2)

    will always be used. Exponents p, pν, αν are related by the constraint

    pνp1+ανnfor all  νIκ, (1.3)

    which is sharp in the light of the counterexamples in [5,38,40,63]. Precisely, our first achievement concerns some reverse Hölder type inequalities in the spirit of those obtained in [28,30,31] for double phase problems.

    Theorem 1. Under assumptions (1.1)(1.3), let vW1,ploc(Ω) be a local minimizer of functional H() and Bϱ(x0)B2ϱ(x0)Ω be concentric balls with radius ϱ(0,1] and J4 be a constant. Then

    ● in the degenerate regime degJ(Bϱ(x0)) for all d1 it holds that

    (Bϱ/2(x0)|Dv|d dx)1/dcJΓ(Bϱ(x0)H(x,Dv) dx)1/p, (1.4)

    with cc(data,H(,Dv)L1+δg(B2ϱ(x0)),d) and ΓΓ(data0);

    ● in the nondegenerate regime ndegJ(Bϱ(x0)) or in the mixed one mixJ(Bϱ(x0)), for all d1, μ(0,1] it is

    (Bϱ/2(x0)|Dv|d dx)1/dcϱμ(Bϱ(x0)H(x,Dv) dx)1/p, (1.5)

    for cc(data,A,H(,Du)L1+δg(B2ϱ(x0)),μ,d).

    We refer to Sections 2.1 and 4 for more details on the terminology adopted in the above statement. A result analogous to the one described in Theorem 1 has been obtained in [4,Theorem 4.1] for generalized [3,19] triple phase problems, which in principle include also our functional H(). However, in [4] to prove estimates similar to (1.4)–(1.5), extra technical assumptions on {αν}κν=1 are required, i.e.:

    maxνIκαν2minνIκαν, (1.6)

    cf. [4,(1.17), (1.22) and (6.8)]. Condition (1.6) seems to be unavoidable according to the arguments developed in [4], inspired by [30,31] and essentially relying on a boost of integrability that results from a combination of a Caccioppoli type inequality with the classical fractional Sobolev embedding theorem. In sharp contrast with what happens in [30,31], the rate of nonhomogeneity in multi-phase problems is too high and causes competition among the Hölder continuity exponents {αν}κν=1. This drastically affects the integrability improvement granted by Sobolev embedding theorem and possibly leads to violations of the bounds in (1.3). Here, we rather follow the approach of [28], replace fractional Sobolev embedding theorem with a suitable fractional Gagliardo-Nirenberg inequality [17], which matches the controlled gradient fractional differentiability assured by Caccioppoli inequality with the Morrey type result obtained in [36,Theorem 2]. Precisely, the idea consists in exploiting Gagliardo-Nirenberg inequality to translate the β0-Hölder continuity of minima for arbitrary β0(0,1) consequence of [36,Theorem 2], into gradient higher integrability up to any finite exponent, thus bypassing all structural obstructions due to the coexistence of multiple phases. In the light of [36,Theorem 1], inequalities (1.4)–(1.5) do not add any substantial information on the regularity of minima of functional H(). Anyway, they turn out to be fundamental for instance when such minimizers play the role of comparison map in variational problems governed by the nonhomogeneous functional

    W1,p(Ω)wG(w,Ω):=Ω[H(x,Dw)G(x,F),Dw] dx (1.7)

    where G:Ω×RnRn is a Carathéodory vector field so that

    |G(x,z)|ΛH(x,z)|z|for all  (x,z)Ω×Rn  and some  Λ>0 (1.8)

    and F:ΩRn verifies

    H(,F)Lγloc(Ω)with  γ>1. (1.9)

    For local minima of the functional in (1.7) we have the following Calderón-Zygmund type result.

    Theorem 2. Under assumptions (1.1), (1.3), (1.8), (1.9), let uW1,p(Ω) be a local minimizer of functional G(). Then the sharp Calrderón-Zygmund implication

    H(,F)Lγloc(Ω)  H(,Du)Lγloc(Ω)

    holds for all γ>1. Moreover, fix open sets Ω0˜Ω0Ω so that dist(Ω0,˜Ω0)dist(˜Ω0,Ω)dist(Ω0,Ω); for every γ>1 there exists a radius r>0 and a constant c1, both depending on (datacz) such that

    (Bϱ/2(x0)H(x,Du)γ dx)1/γcBϱ(x0)H(x,Du) dx+c(Bϱ(x0)H(x,F)γ dx)1/γ, (1.10)

    for all balls Bϱ(x0)Ω0 with ϱ(0,r).

    We remark that Theorem 2 is not included in [4,Theorem 1.1] as we do not assume (1.6). Let us put our results into the context of the available literature. Multi-phase functionals provide the natural generalization of the double-phase energy

    W1,ploc(Ω)wP(w,Ω):=Ω[|Dw|p+a(x)|Dw|q] dx,0a()C0,α(Ω),qp1+αn,

    first studied in [63,64], with emphasis about homogenization and on the possible occurrence of Lavrentiev phenomenon and later on, regularity has been obtained in [7,9,28,30], see also [18,29,31] concerning Calderón-Zygmund estimates, [34] on the general vectorial setting and the manifold-constrained case, [24] about potential theoretic considerations and [33] for sharp regularity of nonhomogenous systems with double phase structure and related obstacle problems and [2,3,4,8,19,20,36,39,60,61] for further extensions and more general models. The peculiarity of the double phase energy is the subtle interaction between the p-phase and the (p,q)-phase, whose alternance is controlled by the modulating coefficient a(): in proximity of the zero level set {xΩ:a(x)=0}, the integrand in P() behaves as the p-Laplacian, while in correspondence of the positivity set of a() it acts as a Δ2-Young function. This phenomenon is in some sense magnified in the multi-phase framework: in [36] it is observed that each pν-phase interacts only with the elliptic p-phase as quantified by (1.3); in particular no additional relation between pν1, pν2 or αν1, αν2 with ν1ν2Iκ should be imposed. On a more formal level, according to the classification done in [33] we see that the integrand in H() is pointwise uniformly elliptic, in the sense that its ellipticity ratio is uniformly bounded:

    RH(z):=supxBhighest eigenvalue of 2H(x,z)lowest eigenvalue of 2H(x,z)c(n,p,p1,,pκ) (1.11)

    for any zRn and all balls BΩ. However, the possible vanishing of the coefficients creates a deficit in the structure that can be better measured via a nonlocal counterpart of the ellipticity ratio defined as

    RH(z):=supxBhighest eigenvalue of 2H(x,z)infxBlowest eigenvalue of 2H(x,z)1+κν=1aνL(B)|z|pνp,

    which may blow up as |z|. From this analysis it is clear that nonuniform ellipticity of multi-phase integrands is caused by the coefficients, but it is rather soft and still allows a perturbative approach to regularity. The multi-phase energy is a particular instance of Musielak-Orlicz functional, an abstract class of variational integrals described for instance in [45], that permits to treat in a unified fashion the regularity of minima of several model functionals such as double phase, multi-phase, p(x)-Laplacian or double phase with variable exponent and the functional analytic properties of related Lagrangian spaces, see [6,12,25,26,44,46,47,48,50] for an (incomplete) list of references and [57,59] for reasonable surveys. It is worth mentioning that energy H() also falls into the realm of functional with (p,q)-growth, i.e., variational integrals defined by means of a sufficiently smooth integrand F:Ω×RnR with a rate of nonuniform ellipticity stronger than (1.11), i.e.:

    { |z|pF(x,z)1+|z|q RF(z)|z|qpwith  1<pq.

    This class of functionals has first been introduced in the seminal papers [53,54,55,56] and intensively investigated since then, cf. [10,11,14,15,16,21,22,23,27,32,33,35,38,49,62], see also [13,57,59] for an overview of the state of the art. The main idea in this case consists in neglecting the precise structure of the integrand and retaining only the extremals of the growth. In such a way it is possible to prove regularity results for minima of a quite large family of variational integrals at the price of imposing precise closeness conditions between exponents (p,q) and loosing some informations that are distinctive of the specific structure, compare in this perspective [33,Theorem 1] with [33,Theorem 3]. The regularity for general functionals with (p,q)-growth is guaranteed provided that q/p1+o(n), where o(n)n0. This turns out to be a necessary and sufficient condition for regularity, see e.g., [38,55,58] about counterexamples/sharpness of the upper bound on the ratio q/p and [11,49,62] for improvements in the autonomous setting. The constraint linking exponents (p,q) has interpolative nature in the sense that if minimizers a priori feature a higher regularity than the one naturally allowed by the ellipticity of the functional, then the restriction imposed on the size of q/p can be relaxed, in particular it can be made independent on the space dimension, cf. [1,9,13,21,22,27,28,32,34,35,60]. The main tool exploited in most of such papers are Gagliardo-Nirenberg type inequalities [17] that grant a trading between the extra regularity properties of minima and the higher integrability of their gradients. This transaction weakens in some sense the nonuniform ellipticity of the functional, thus either allowing for larger bounds on q/p or drastically reducing the rate of fractional differentiability of the gradient needed for boost its integrability. The latter is the cornerstone of the arguments presented here.

    Organization of the paper

    This paper is organized as follows. In Section 2 we describe our notation and collect some auxiliary results, Section 3 contains an overview of the regularity theory for local minimizers of multi-phase integrals and Sections 4 and 5 are devoted to the proofs of Theorems 1 and 2 respectively.

    In this section we shall collect some well-known results that will be useful in the proof of Theorems 1 and 2.

    We denote by ΩRn an open domain and, since our estimates will be local, we shall always assume, without loss of generality, that Ω is also bounded. We denote by c a general constant larger than one. Different occurrences from line to line will be still denoted by c. Important dependencies on parameters will be as usual emphasized by putting them in parentheses. We shall denote N as the set of positive integers. As usual, we denote by Br(x0):={xRn:|xx0|<r} the open ball with center x0 and radius r>0; when it is clear from the context, we omit denoting the center, i.e., BrBr(x0). When not otherwise stated, different balls in the same context will share the same center. Finally, with B being a given ball with radius r and δ being a positive number, we denote by δB the concentric ball with radius δr and by B/δ(1/δ)B. In denoting several function spaces like Lp(Ω), W1,p(Ω), we shall denote the vector valued version by Lp(Ω,Rk),W1,p(Ω,Rk) in the case the maps considered take values in Rk, kN. With BRn being a measurable subset with bounded positive measure 0<|B|<, and with g:BRk, k1, being a measurable map, we shall denote the integral average of g over B by

    (g)BBg(x) dx:=1|B|Bg(x) dx.

    Moreover, if g:ΩRk is any map, UΩ is an open set and β(0,1] is a given number we shall denote

    [g]0,β;U:=supx,yU;xy|g(x)g(y)||xy|β,[g]0,β:=[g]0,β;Ω.

    The quantity in the previous definition is a seminorm and g is included in the Hölder space C0,β(U,Rk) iff [g]0,β;U<. We also point out that gC1,β(U,Rk) provided that DgC0,β(U,Rk×n). Furthermore, we shall always avail ourselves of the notation displayed in (1.2). Finally, for the sake of simplicity, we collect the main parameters of the problem in the shorthands

    { A:=maxνIκaνL(Ω) data0:=(n,p,p1,,pκ,α1,,ακ), data:=(data0,[a1]0,α1,,[aκ]0,ακ,κ) datacz:=(data,A,Λ,H(,Du)L1(˜Ω0),H(,F)Lγ(˜Ω0),γ,dist(˜Ω0,Ω)),

    see Sections 3–5 for more informations about the quantities mentioned in the previous display.

    Given a function w:ΩRk, k1 and a vector hRn, we denote by τh:L1(Ω,Rk)L1(Ω|h|,Rk) the standard finite difference operator pointwise defined as

    τhw(x):=w(x+h)w(x)for a.e. xΩ|h|,

    where Ω|h|:={xΩ:dist(x,Ω)>|h|}. Let us record the fundamentals of fractional Sobolev spaces, see [37] for more details on this matter.

    Definition 1. Let ΩRn be an open set with n2 (the case ΩRn is allowed as well), α(0,1), p[1,) and kN be numbers. The fractional Sobolev space Wα,p(Ω,Rk) is defined by prescribing that w:ΩRk belongs to Wα,p(Ω,Rk) iff the following Gagliardo type norm is finite:

    wWα,p(Ω):=wLp(Ω)+(ΩΩ|w(x)w(y)|p|xy|n+αp dxdy)1/p=:wLp(Ω)+[w]α,p;Ω.

    Accordingly, if α=[α]+{α}N+(0,1)>1, we say that wWα,p(Ω,Rk) iff the following quantity is finite

    wWα,p(Ω):=wW[α],p(Ω)+[D[α]w]{α},p;Ω.

    The local variant Wα,ploc(Ω,Rk) is defined by requiring that wWα,p(˜Ω,Rk) for every open subset ˜ΩΩ.

    A class of spaces that is strictly related to fractional Sobolev spaces is that of Nikol'skii spaces.

    Definition 2. Let ΩRn be an open set with n2 and α(0,1), p[1,), kRn be numbers. The Nikol'skii space Nα,p(Ω,Rk) is defined by prescribing that wNα,p(Ω,Rk) iff

    wNα,p(Ω):=wLp(Ω)+(sup|h|0Ω|h||w(x+h)w(x)|p|h|αp dx)1/p.

    The local variant Nα,ploc(Ω,Rk) is defined by requiring that wNα,p(˜Ω,Rk) for every open subset ˜ΩΩ.

    Whenever Ω is a sufficiently regular domain, it is Wα0,p(Ω,Rk)Nα0,p(Ω,Rk)Wβ,p(Ω,Rk) for all β(0,α0). This chain of inclusions can be in some sense quantified, and this is the content of the next lemma, cf. [32,Section 2.2].

    Lemma 2.1. Let BrRn be a ball with r1, wLp(Br,Rk), p>1 and assume that, for α(0,1], S1 and concentric balls BϱBr, there holds

    τhwLp(Bϱ,Rk)S|h|αforeveryhRnwith0<|h|rϱK,whereK1.

    Then wWβ,p(Bϱ,Rk) whenever β(0,α) and

    wWβ,p(Bϱ,Rk)c(αβ)1/p(rϱK)αβS+c(Krϱ)n/p+βwLp(Br,Rk),

    holds, where cc(n,p).

    We conclude this section with a fractional Gagliardo-Nirenberg type inequality, whose proof can be found in [17,Corollary 3.2], see also [28,Lemma 2.6] for a localized version.

    Lemma 2.2. Let BϱBrRn be concentric balls with r1. Let 0<s1<1<s2<2, 1<p,q<, t>1 and θ(0,1) be such that

    1=θs1+(1θ)s2,1t=θq+1θp.

    Then every function wWs1,q(Br)Ws2,p(Br) belongs to W1,t(Bϱ) and the inequality

    DwLt(Bϱ)c(rϱ)κ[w]θs1,q;BrDw1θWs21,p(Br) (2.1)

    holds for constants c,κc,κ(n,s1,s2,p,q,t).

    When dealing with m-Laplacean type problems with m>1, we shall often use the auxiliary vector fields Vm:RnRn, defined by

    Vm(z):=|z|(p2)/2z,m(1,)

    whenever zRn. In Sections 4 and 5, we shall adopt the above definition with m{p,p1,,pκ}. A useful related inequality is contained in the following

    |Vm(z1)Vm(z2)|(|z1|2+|z2|2)(p2)/4|z1z2|, (2.2)

    where the equivalence holds up to constants depending only on n,m. Given the specific form of the integrand defining H(), for z1,z2Rn being arbitrary vectors and BRn being a ball, we introduce two quantities that will be often used throughout the paper

    V(z1,z2):=|Vp(z1)Vp(z2)|2+κν=1aν(x)|Vpν(z1)Vpν(z2)|2;V0(z1,z2;B):=|Vp(z1)Vp(z2)|2+κν=1(supxˉBaν(x))|Vpν(z1)Vpν(z2)|2.

    An important property which is usually related to such field is recorded in the following lemma.

    Lemma 2.3. Let t>1, and z1,z2Rn be so that |z1|+|z|2>0. Then

    10|z1+λ(z2z1)|t dλ(|z1|2+|z2|2)t2,

    with constants implicit in "" depending only on t.

    Finally, the "simple, but fundamenta" iteration lemma of [41,Section 1].

    Lemma 2.4. Let Z:[ϱ,R)[0,) be a function which is bounded on every interval [ϱ,R] with R<R. Let ε(0,1), a1,a2,γ1,γ20 be numbers. If

    Z(τ1)εZ(τ2)+a1(τ2τ1)γ1+a2(τ2τ1)γ2forall  ϱτ1<τ2<R,

    then

    Z(ϱ)c[a1(Rϱ)γ1+a2(Rϱ)γ2],

    holds with cc(ε,γ1,γ2).

    In this section we collect some well-known regularity results for minima of functional H(), i.e., maps verifying the following definition.

    Definition 3. With 0a()L(Ω) and (1.1)2 in force, a function vW1,1loc(Ω) with H(,Dv)L1loc(Ω) is a local minimizer of functional H() if and only if the minimality relation H(v,B)H(v+w,B) holds for every ball BΩ and all wW1,10(B) so that H(,Dw)L1(B).

    The details of the proof of all the results listed below can be found in [36] for the case of three phases, i.e., H(x,z)[|z|p+a1(x)|z|p1+a2(x)|z|p2], but, as stressed in [36,Section 1], they can be adapted in a straightforward way to an arbitrary (finite) number of phases, see also [47,Section 2 and Theorems 7.2–7.4]. We start by discussing a peculiar feature of variational integrals with Musielak-Orlicz structure which is the absence of Lavrentiev Phenomenon, see [31,Lemma 1] and [38,Lemma 13].

    Lemma 3.1. Under assumptions (1.1)(1.3), let wW1,ploc(Ω) be any function so that whenever BΩ is a bounded, open set it is H(,Dw)L1+δ(B)< for some δ>0. Then there exists a sequence of smooth maps {˜wj}jNCloc(Ω) so that it holds

    { ˜wjw  in  W1,p(1+δ)(B) H(,D˜wj)L1(B)H(,Dw)L1(B) H(,D˜wj)L1+δ(B)H(,Dw)L1+δ(B). (3.1)

    Next, a Sobolev-Poincaré inequality for multi-phase problems, [36,Lemma 2].

    Lemma 3.2. Under assumptions (1.1)–(1.3), let BϱRn be a ball with radius ϱ(0,1] and wW1,p(Bϱ) be any function so that H(,Dw)L1(Bϱ). Then there are a positive constant cc(data0,κ) and an exponent dd(n,p,p1,,pκ)(0,1) so that

    BϱH(x,w(w)Bϱϱ) dxc(1+κν=1[aν]0,αν;BϱDwpνpLp(Bϱ))(BϱH(x,Dw)d dx)1/d. (3.2)

    Let us record a local higher integrability result of Gehring type, cf. [36,Lemma 4].

    Lemma 3.3. Under assumptions (1.1)(1.3), let BϱB2ϱΩ be any ball with radius ϱ(0,1] and vW1,ploc(Ω) be a local minimizer of functional H() so that H(,Dv)L1(B2ϱ)M for some constant M>0. Then there exists a positive higher integrability threshold δgδg(data,M) so that

    (BϱH(x,Dv)1+δ dx)11+δcB2ϱH(x,Dv) dx, (3.3)

    for all δ(0,δg], with cc(data,M).

    The global counterpart of Lemma 3.1 is in the next lemma.

    Lemma 3.4. Under assumptions (1.1)(1.3), let BϱΩ be a ball with radius ϱ(0,1], u0W1,p(1+δ0)(Bϱ) for some δ0>0 with H(,Du0)L1(Bϱ)M0 be any function and v0u0+W1,p0(Bϱ) be the solution of Dirichlet problem

    u0+W1,p0(Bϱ)wminH(w,Bϱ).

    There exists an higher integrability threshold σgσg(data,M0,δ0)(0,δ0) so that

    BϱH(x,Dv0)1+σg dxcBϱH(x,Du0)1+σg dx,

    for cc(data,M0,δ0).

    We further recall a straightforward manipulation of [36,Theorem 2].

    Theorem 3. Under assumptions (1.1)(1.3), let B2BΩ be a ball and vW1,ploc(Ω) be a local minimizer of functional H() so that H(,Dv)L1+δg(2B)Mg, where δg is the higher integrability threshold coming from Lemma 3.3. Then, whenever Bσ1Bσ2B are concentric balls with radii 0<σ1σ21, for every β(0,n) it holds that

    Bσ1H(x,Dv) dxc(σ1σ2)nβBσ2H(x,Dv) dx,

    with cc(data,Mg,β). In particular, vC0,γ0(B) for all γ0(0,1) with

    [v]0,γ0;B2σ/3cσ1γ0(BσH(x,Dv) dx)1/p, (3.4)

    for cc(data,Mg,γ0).

    Finally, we conclude this section with the main result of [36].

    Theorem 4. Let vW1,ploc(Ω) be a local minimizer of functional H(), with (1.1)–(1.3) in force. Then vC1,β0loc(Ω) for some β0β0(data0).

    Remark 3.1. We stress that all the constants appearing in Lemmas 3.3–3.4 and Theorem 3 are nondecreasing in M, M0 and Mg respectively, cf. [36].

    In this section we prove our main result, i.e., a reverse Hölder inequality for minima of H() in the spirit of those appearing in [28,30,31] without imposing any relation between the Hölder continuity exponents {αν}κν=1. A similar result has been obtained in [4,Theorem 4.1] for generalized multi-phase problems with the additional technical constraint (1.6). We believe that our proof can be adapted to more general functionals than H() that still preserve specific Musielak-Orlicz structure. Moreover, since the results in [36] can be transferred essentially verbatim to the vectorial setting, our approach can be successfully applied also to vectorial problems. Following a by now standard terminology see [9,28,29,30,31,33,34] and in particular [36,Section 4], given any ball Bϱ(x0)Ω, we identify three scenarios, according to the behavior of coefficients {aν()}κν=1. Precisely, given any constant J4, we shall say that H() is in the degenerate phase degJ(Bϱ(x0)) on Bϱ(x0) if

    infxBϱ(x0)aν(x)J[aν]0,αν;Bϱ(x0)ϱανfor all  νIκ,

    or H() is in the nondegenerate phase ndegJ(Bϱ(x0)) when

    infxBϱ(x0)aν(x)>J[aν]0,αν;Bϱ(x0)ϱανfor all  νIκ,

    while H() is in a mixed phase mixJ(Bϱ(x0)) provided that the set of indexes Iκ is the union of two nonempty subsets d,ndIκ which can be characterized as

    { infxBϱ(x0)aν(x)J[aν]0,αν;Bϱ(x0)ϱανfor all  νd infxBϱ(x0)aν(x)>J[aν]0,αν;Bϱ(x0)ϱανfor all  νnd.

    The above configurations will play a key role in the next sections.

    For the transparency of presentation, we split the proof of Theorem 1 into nine steps. Since the dependencies of the constants declared throughout the proof may seem quite weird, we shall provide a detailed explanation of the behavior of such constants in Step 9.

    Step 1: scaling and approximation

    Let vW1,ploc(Ω) be a local minimizer of functional H() and Bϱ(x0)B2ϱ(x0)Ω be any ball with radius ϱ(0,1]. By Lemma 3.3 we know that H(,Dv)L1+δg(Bϱ(x0)) for some δgδg(data,H(,Dv)L1(B2ϱ(x0))), so Lemma 3.1 applies and we obtain a sequence {˜vj}jNC(ˉBϱ(x0)) so that (3.1) holds with BBϱ(x0). We blow up v on Bϱ(x0) by defining B1(0)xvϱ(x):=(v(x0+ϱx)(v)Bϱ(x0))ϱ1 and notice that a simple scaling argument shows that vϱW1,p(B1(0)) is a local minimizer of functional

    W1,p(B1(0))wHϱ(w,B1(0)):=B1(0)Hϱ(x,z) dx,

    with B1(0)xaν,ϱ(x):=aν(x0+ϱx) for all νIκ and

    Hϱ(x,z):=[|z|p+κν=1aν,ϱ(x)|z|pν].

    By definition we have that

    { aν,ϱL(B1(0))=aνL(Bϱ(x0))for all  νIκ [aν,ϱ]0,αν;B1(0)=ϱαν[aν]0,αν;Bϱ(x0)for all  νIκ Hϱ(vϱ,B1(0))=ϱnH(v,Bϱ(x0)). (4.1)

    We stress that by construction, vϱ retains the same higher integrability features of v, i.e., Hϱ(,Dvϱ)L1+δg(B1(0)) where δgδg(data,H(,Dv)L1(B2ϱ(x0))) is the same higher integrability exponent of v. Moreover, setting B1(0)x˜vj,ϱ(x):=(˜vj(x0+ϱx)(˜vj)Bϱ(x0))ϱ1, by (3.1) with BB1(0) we have a sequence {vj,ϱ}jNC(ˉB1(0)) so that

    { ˜vj,ϱvϱ  strongly in  W1,p(1+δg)(B1(0)) Hϱ(,D˜vj,ϱ)L1(B1(0))Hϱ(,Dvϱ)L1(B1(0)) Hϱ(,D˜vj,ϱ)L1+δg(B1(0))Hϱ(,Dvϱ)L1+δg(B1(0)). (4.2)

    For νIκ and jN, we correct the growth of Hϱ() by introducing the regularized integrands

    Hj(x,z):=Hϱ(x,z)+κν=1σνj|z|pν|z|p+κν=1(aν,ϱ(x)+σνj)|z|pν,

    where we set

    σνj:=j1(1+j+D˜vj,ϱ2pνLpν(B1(0))+D˜vj,ϱ2pνLpν(1+δg)(B1(0)))1.

    By very definition, it is

    κν=1σνjB1(0)|D˜vj,ϱ|pν dx+κν=1(σνj)1+δgB1(0)|D˜vj,ϱ|pν(1+δg) dx0 (4.3)

    Keeping in mind (1.1)2, we set ˉp:=maxνIκpν and define the family of auxiliary Dirichlet problems

    ˜vj,ϱ+W1,ˉp0(B)wHj(w,B1(0)):=B1(0)Hj(x,z) dx. (4.4)

    Direct methods assure that problem (4.4) admits a unique solution vj˜vj,ϱ+W1,p0(B1(0)) and, according to the regularity theory in [51] it is

    vjW1,(B1(0)), (4.5)

    given that ˜vj,ϱC(ˉB1(0)) and σνj>0 for all νIκ, so Hj() has standard ˉp-growth. We further notice that functional Hj() is of multi-phase type. In fact (1.3) is always in force and (1.1) trivially holds since the coefficients aν,ϱ+σνϱC0,αν(Ω) verify [aν,ϱ+σνϱ]0,αν;B1(0)=[aν,ϱ]0,αν;B1(0) for all νIκ, therefore Lemma 3.4 applies and there is an exponent σgσg(data,H(,Dv)L1(B2ϱ(x0)))(0,δg) so that

    Hj(,Dvj)L1+σg(B1(0))cHj(,D˜vj,ϱ)L1+σg(B1(0))(4.2),(4.3)c(Hϱ(,Dvϱ)L1+δg(B1(0))+1), (4.6)

    with cc(data,H(,Dv)L1(B2ϱ(x0))).

    Step 2: covergence

    Let us prove that the sequence {vj}jNW1,ˉp(B1(0))W1,(B1(0)) of solutions to problem (4.4) converge to vϱ, local minimizer on B1(0) of Hϱ(). By minimality it is

    Hj(vj,B1(0))Hj(˜vj,ϱ,B1(0))Hϱ(˜vj,ϱ,B1(0))+κν=1B1(0)σνj|D˜vj,ϱ|pν dx(4.3)Hϱ(˜vj,ϱ,B1)+o(j)(4.2)2Hϱ(vϱ,B1(0))+o(j), (4.7)

    which means that (keep (4.2)1 in mind)

    vj˜v  weakly in  W1,p(B1(0))and˜v|B1(0)=v|B1(0). (4.8)

    The content of the previous display allows using weak lower semicontinuity and the minimality of vϱ in (4.7) to get

    Hϱ(vϱ,B1(0))(4.8)2Hϱ(˜v,B1(0))lim infjHϱ(vj,B1(0))lim supjHϱ(vj,B1(0))lim supjHj(vj,B1(0))lim supj[Hϱ(˜vj,ϱ,B1(0))+κν=1B1(0)σνj|D˜vj,ϱ|pν dx](4.3)Hϱ(vϱ,B1(0)).

    This implies that Hϱ(˜v,B1(0))=Hϱ(vϱ,B1(0)), so using also the strict convexity of zHϱ(,z) we obtain

    ˜v=vϱ  a.e. in  B1(0)andlimjHϱ(vj,B1(0))=Hϱ(vϱ,B1(0)). (4.9)

    Step 3: fractional Caccioppoli inequality

    The minimality of vj in Dirichlet class ˜vj,ϱ+W1,ˉp0(B1(0)) guarantees the validity of the Euler Lagrange equation

    B1(0)Hj(x,Dvj),Dφ dx=0 (4.10)

    for all φW1,ˉp0(B1(0)). We take any vector hRn{0} so that |h|210, a cut-off function ηC2c(B1(0)) so that

    1B3/4(0)η1B5/6(0),|Dη|2+|D2η|1

    and test (4.10) with φ:=τh(η2τhvj). Exploiting the integration by parts formula for finite difference operators, we obtain

    0=B1(0)τhHj(x,Dvj),D(η2τhvj) dx=B1(0)η2τhHj(x,Dvj),τhDvj dx+2B1(0)ητhvjτhHj(x,Dvj),Dη dx=:(I)+(II).

    Let us introduce quantities

    δ:=minνIκαν,Aν,j:=(aν,ϱ2L(B1(0))+[aν,ϱ]20,α;B1(0)+(σνj)2)12pνp

    and set for m{p,p1,,pκ}

    D(h):=[|Dvj(x+h)|2+|Dvj(x)|2],Im(h):=10|Dvj(x+λh)|m2Dvj(x+λh) dλ.

    Notice that there is no loss of generality in assuming that D(h)>0, otherwise both terms (I)(II) identically vanish. Moreover, consider a nonnegative, radially symmetric mollifier ϕC(B1(0)), so that ϕL1(0)=1, let ϕ|h|:=|h|nϕ(x/|h|) and regularize for all νIκ coefficient aν,ϱ() as done in [30,Section 5] via convolution against {ϕ|h|}|h|>0 thus getting aν|h|:=aν,ϱϕ|h|C(B7/8(0)). The newly defined coefficients have the following features:

    { aν|h|L(B7/8(0))aν,ϱL(B1(0)) |aν|h|(x)aν,ϱ(x)|4[aν,ϱ]0,αν;B1(0)|h|αν |Daν|h||c[aν,ϱ]0,αν;B1(0)|h|αν1for all  xB7/8(0), (4.11)

    with cc(n). This will be helpful in a few lines. Finally, we record that whenever γ>1 and GLγγ1(B1(0),Rn), FW1,γ0(B5/6(0),Rn) and |h|210 it is

    B1(0)τhG,F dx=|h|B1(0)10G(x+λh),h/|h|F dλ dx, (4.12)

    see [30,(5.29)]. Now we are ready to estimate terms (I)-(II). Notice that

    (I)=pB1(0)η2τh(|Dvj|p2Dvj),τhDvj dx+κν=1pνB1(0)η2(aν,ϱ(x)+σνj)τh(|Dvj|pν2Dvj),τhDvj dx+κν=1pνB1(0)η2(aν,ϱ(x+h)aν,ϱ(x))|Dvj(x+h)|pν2Dvj(x+h),τhDvj dx=(I)1+(I)2+(I)3.

    Via standard monotonicity properties and Lemma 2.3 we bound

    (I)1+(I)2(2.1)cB1(0)η2|τhVp(Dvj)|2 dx+cκν=1B1(0)η2(aν,ϱ(x)+σνj)|τhVpν(Dvj)|2 dx,

    with cc(n,p,p1,,pκ), while by Young inequality and standard properties of translation operators we have

    |(I)3|cκν=1|h|αν[aν,ϱ]0,αν;B1(0)B1(0)η2D(h)pν12±p24|τhDvj| dxεB1(0)η2D(h)p22|τhDvj|2 dx+cεκν=1|h|2αν[aν,ϱ]20,αν;B1(0)B1(0)|Dvj|2pνp dx(2.1)cεB1(0)η2|τhVp(Dvj)|2 dx+c|h|2δεκν=1B1(0)A2pνpν,j|Dvj|2pνp dx,

    for cc(n,p,p1,,pκ,κ). Now let us expand term (II):

    (II)=2pB1(0)ητhvjτh|Dvj|p2Dvj,Dη dx+2κν=1pνσνjB1(0)ητhvjτh(|Dvj|pν2Dvj),Dη dx+2κν=1pνB1(0)ηaν,ϱ(x)τhvjτh(|Dvj|pν2Dvj),Dη dx+2κν=1pνB1(0)η(aν,ϱ(x+h)aν,ϱ(x))τhvjτh(|Dvj|pν2Dvj),Dη dx=:(II)1+(II)2+(II)3+(II)4.

    Set 1p:=1 if p2 and 1p=0 when p(1,2) and estimate via Lemma 2.3, Young inequality and Hölder inequality with conjugate exponents (p2,pp2) in the superquadratic case and by (4.12), Hölder inequality with conjugate exponents (p2(p1),p2p), Jensen inequality and standard properties of translation operators in the subquadratic case:

    |(II)1|1p|(II)1|+(11p)|(II)1|ε1pB1(0)η2D(h)p22|τhDvj|2 dx+c1pεB1(0)|Dη|2D(h)p22|τhvj|2 dx+c|h|(11p)B1(0)|Ip(h)|[(|Dη|2+|D2η|)|τhvj|+η|Dη||τhDvj|] dx(2.1)cεB1(0)η2|τhVp(Dvj)|2 dx+c1p|h|2εB1(0)|Dvj|p dx+c|h|(11p)(B5/6(0)|Ip(h)|pp1 dx)p1p(B5/6(0)|τhvj|p dx)1/p+c|h|2(11p)B5/6(0)|Ip(h)|2D(h)2p2 dxcεB1(0)η2|τhVp(Dvj)|2 dx+c|h|2εB1(0)|Dvj|p dx+c|h|2(11p)(B5/6(0)|Ip(h)|pp1 dx)2(p1)p(B5/6(0)D(h)p/2 dx)2ppcεB1(0)η2|τhVp(Dvj)|2 dx+c|h|2εB1(0)|Dvj|p dx,

    for cc(n,p). Now we abbreviate

    (II)ν2:=2pνσνjB1(0)ητhvjτh(|Dvj|pν2Dvj),Dη dx;(II)ν3:=2pνB1(0)ηaν,ϱ(x)τhvjτh(|Dvj|pν2Dvj),Dη dx,

    and bound by means of (2.2), Lemma 2.3, Young inequality, Hölder inequality with conjugate exponents (2pνp2,2pνp2pνp2) when p2 and (p,pp1), (2pνp,2pνp2pνp1), (2pνp2(pν1),2pνp2p) if p(1,2) and Jensen inequality,

    |(II)ν2|1p|(II)ν2|+(11p)|(II)ν2|ε1pB1(0)η2|τhVp(Dvj)|2 dx+c1p(σνj)2εB1(0)|Dη|2D(h)2pνp22|τhvj|2 dx+c|h|(11p)σνjB5/6(0)10|Dvj(x+λh)|pν1|τhvj| dλ dx+c|h|(11p)σνjB1(0)η|Dη||Ipν(h)||τhDvj| dxεB1(0)η2|τhVp(Dvj)|2 dx+c|h|2(σνj)2εB1(0)|Dvj|2pνp dx+c|h|(11p)B5/6(0)10[(σνj)2|Dvj(x+λh)|2pνp1+|Dvj(x+λh)|p1]|τhvj| dx+c|h|2(11p)(σνj)2(B5/6(0)|Ipν(h)|2pνppν1 dx)2(pν1)2pνp(B5/6(0)D(h)2pνp2 dx)2p2pνpεB1(0)η2|τhVp(Dvj)|2 dx+c|h|2εB1(0)A2pνpν,j|Dvj|2pνp dx, (4.13)

    with cc(n,p,pν). Summing the above inequality for νIκ we can conclude with

    |(II)2|κν=1|(II)ν2|κεB1(0)η2|τhVp(Dvj)|2 dx+c|h|2εκν=1B1(0)A2pνpν,j|Dvj|2pνp dx,

    for cc(n,p,p1,,pκ,κ). In a similar way, we control

    |(II)ν3|1p|(II)ν3|+(11p)|(II)ν3|(4.11)1,2cεB1(0)η2|τhVp(Dvj)|2 dx+c1paν,ϱ2L(B1(0))εB1(0)|Dη|2D(h)pν2p22|τhvj|2 dx+c(11p)|h|ανB5/6(0)[[aν,ϱ]20,αν;B1(0)D(h)2pνp12+D(h)p12]|τhvj| dx+c(11p)|h|aν,ϱ2L(B1(0))B5/6(0)10|Dvj(x+λh)|2pνp1|τhvj| dλ dx+c(11p)|h|B5/6(0)10|Dvj(x+λh)|p1|τhvj| dλ dx+c(11p)|h|2aν,ϱ2L(B1(0))(B5/6(0)|Ipν(j)|2pνppν1 dx)2(pν1)2pνp(B5/6(0)D(h)2pνp2 dx)2p2pνp+c|h|B5/6(0)|Ipν(h)||τhvj||Daν|h|| dx(4.11)3cεB1(0)η2|τhVp(Dvj)|2 dx+c|h|1+ανB1(0)|Dvj|p dx+cε|h|1+αν(aν,ϱ2L(B1(0))+[aν,ϱ]20,αν;B1(0))B1(0)|Dvj|2pνp dx+c|h|ανB5/6(0)10[aν,ϱ]20,αν;B1(0)|Dvj(x+λh)|2pν1|τhvj| dλ dx+c|h|ανB5/6(0)10|Dvj(x+λh)|p1|τhvj| dλ dxcεB1(0)η2|τhVp(Dvj)|2 dx+c|h|1+ανB1(0)|Dvj|p dx+c|h|1+ανεB1(0)A2pνpν,j|Dvj|2pνp dx, (4.14)

    with cc(n,p,pν). Summing the inequalities in the previous display we obtain

    |(II)3|κν=1|(II)ν3|cεB1(0)η2|τhVp(Dvj)|2 dx+c|h|2δB1(0)|Dvj|p dx+c|h|2δεκν=1B1(0)A2pνpν,j|Dvj|2pνp dx,

    for cc(n,p,p1,,pκ,κ). We stress that when dealing with terms (II)ν2-(II)ν3 we assumed that |Dvj(x+λh)|>0 in the sixth and in the fifth and sixth line of displays (4.13)–(4.14) respectively. There is no loss of generality in this as otherwise the integrals in such lines would vanish identically. Concerning term (II)4, we have

    |(II)4|cκν=1[aν,ϱ]0,αν;B1(0)|h|ανB5/6(0)η|Dη||τhvj|D(h)pν12 dxcκν=1|h|ανB1(0)[[aν,ϱ]20,αν;B1(0)η2D(h)2pνp12+D(h)p12|Dη|2]|τhvj| dxc|h|2δB1(0)|Dvj|p dx+c|h|2δκν=1B1(0)A2pνpν,j|Dvj|2pνp dx,

    with cc(n,p,p1,,pκ,κ). Combining the content of all the previous displays and suitably reducing the size of ε>0 we obtain

    B1(0)η2|τhVp(Dvj)|2 dxc|h|2δB1(0)|Dvj|p dx+c|h|2δκν=1B1(0)A2pνpν,j|Dvj|2pνp dx, (4.15)

    for cc(n,p,p1,,pκ,κ). At this stage we treat separately the superquadratic case p2 and the subquadratic one p(1,2).

    Step 4: Higher integrability via interpolation - p2

    From (2.2) and (4.15) we obtain

    B3/4(0)|τhDvj|p dxc|h|2δB1(0)[|Dvj|p+κν=1A2pνpν,j|Dvj|2pνp] dx,

    with cc(n,p,p1,,pκ,κ), so we apply Lemma 2.1 to deduce that DvjWs/p,p(B2/3(0),Rn) for all s(0,2δ), for simplicity choose s=δ, with

    DvjWs/p,p(B2/3(0))c[DvjLp(B1(0))+κν=1Aν,jDvj2pνppL2pνp(B1(0))], (4.16)

    with cc(data0,κ). Recall that functional Hj() is of multi-phase type so Theorem 3 applies and vjC0,γ0(B2/3(0)) for all γ0(0,1) therefore for any 0<χ<γ0<1 and q1 it is

    [vj]χ,q;B2/3(0)c[vj]0,γ0;B2/3(0)(q(γ0χ))1/q(3.4)<, (4.17)

    with cc(n) so we can apply Lemma 2.2 to get

    DvjLt(B1/2(0))c[vj]θ1χ,q;B2/3(0)Dvj1θ1Ws/p,p(B2/3(0))(4.16)c[vj]θ1χ,q;B2/3(0)[Dvj1θ1Lp(B1(0))+κν=1Aν,jDvj(2pνp)(1θ1)pL2pνp(B1(0))] (4.18)

    where χ<γ0(0,1), q>p are arbitrary numbers, cc(data0,χ,q,θ1,t) and it is

    1=θ1χ+(1θ1)(1+s/p)and1t=θ1q+1θ1p, (4.19)

    which in turn yields that

    { θ1θ1(χ)=s/p1χ+s/p  1θ1=1χ1χ+s/p tt(q,χ):=qppθ1+q(1θ1)=q(p(1χ)+s)s+q(1χ), (4.20)

    We stress that θ1θ1(p,α1,,ακ,χ) is increasing with respect to χ and, keeping in mind that q>p, exponent tt(p,q,α,α1,,ακ,χ) is increasing with respect to both, χ and q. Next, we fix τ1,τ2[1/2,2/3], τ1<τ2 and, following [28,Section 3.6] we set σ:=(τ2τ1)/4 and, for a finite JN, take a covering of Bτ1(0) with a collection of balls {Bσ/2(yι)}ιJ made by |J|=c(n)(τ2τ1)n balls so that yιBτ1(0) for all ιJ. Notice that such a covering can be chosen in such a way that the finite intersection property is satisfied, in the sense that each doubled ball Bσ(yι) intersects at most 8n of other doubled balls from the same family. We further scale vj on every ball Bσ(yι) by defining vι(x):=σ1(vj(yι+σx)(vj)Bσ(yι)), aνι(x):=aν,ϱ(yι+σx) and Hι(x,z):=[|z|p+κν=1aνι(x)|z|pν]. Since vj is the solution of (4.4) and therefore it is a local minimizer of functional Hj() on B1(0), it is easy to see that vι minimizes functional

    W1,ˉp(B1(0))wminB1(0)Hι(x,Dw) dx,

    and, keeping (4.5) in mind, we see that (4.15) holds for vι as well. Recalling that

    [vι]χ,q;B2/3(0)=σχ1n/q[vj]χ,q;B2σ/3(yι),

    we can scale back to vj for getting

    Bσ/2(yι)|Dvj|t dxcσtθ1(χ1)+n(1tθ1q(1θ1)tp)[vj]θ1tχ,q;B2σ/3(yι)(Bσ(yι)[|Dvϱ|p+κν=1A2pνpν,j|Dvj|2pνp] dx)(1θ1)tp(4.19)2c[vj]θ1tχ,q;B2σ/3(yι)σtθ1(1χ)(Bσ(yι)[|Dvϱ|p+κν=1A2pνpν,j|Dvj|2pνp] dx)(1θ1)tp, (4.21)

    where it is cc(data0,χ,q,θ1,t) and we also used that

    { aνιL(B1(0))=aν,ϱL(Bσ(yι)), [aνι]0,αν;B1(0)=σαν[aν,ϱ]0,αν;Bσ(yι)for all  νIκ,

    which yields that

    aνι2L(B1(0))+[aνι]20,αν;B1(0)+(σνj)2A2pνpν,j.

    Summing (4.21) for ιJ and using the discrete Hölder inequality (qθ1t,pt(1θ1)) (legal by means of (4.19)2), we obtain

    Bτ1(0)|Dvj|t dxιJBσ/2(yι)|Dvj|t dxcσtθ1(1χ)ιJ[vj]θ1tχ,q;B2σ/3(yι)(Bσ(yι)[|Dvj|p+κν=1A2pνpν,j|Dvj|2pνp] dx)(1θ1)tpcσtθ1(1χ)(ιJ[vj]qχ,q;B2σ/3(yι))θ1tq(ιJBσ(yι)[|Dvj|p+κν=1A2pνpν,j|Dvj|2pνp] dx)(1θ1)tpc[vj]θ1tχ,q;B2/3(0)(τ2τ1)tθ1(1χ)(Bτ2(0)[|Dvj|p+κν=1A2pνpν,j|Dvj|2pνp] dx)(1θ1)tp,

    for cc(data0,χ,q,θ1,t). Here, we also used that Bσ(yι)Bτ2(0)B2/3(0) and that Rnω[vϱ]qχ,q;ω is superadditive as a set function. All in all, using also (4.17) and (3.4) we get

    DvjLt(Bτ1(0))c[vj]θ1χ,q;B2/3(0)(τ2τ1)θ1(1χ)[Dvj1θ1Lp(Bτ2(0))+κν=1Aν,jDvj(2pνp)(1θ1)pL2pνp(Bτ2(0))]c[vj]θ10,γ0;B2/3(0)(τ2τ1)θ1(1χ)[Dvj1θ1Lp(Bτ2(0))+κν=1Aν,jDvj(2pνp)(1θ1)pL2pνp(Bτ2(0))]cHj(vj,B1(0))θ1/p(τ2τ1)θ1(1χ)[Dvj1θ1Lp(Bτ2(0))+κν=1Aν,jDvj(2pνp)(1θ1)pL2pνp(Bτ2(0))], (4.22)

    with cc(data,H(,Dv)L1+δg(B2ϱ(x0)),δ0,γ0,χ,q,θ1,t). Now fix any d>maxνIκ2pνp. A straightforward computation yields the chain of implications:

    χ>1s2dp  θ1>1p2d  p2d(1θ1)>0,

    which in turn implies that we can choose a suitable lower bound on q so that

    q>2d>dpθ1pd(1θ1)  t>d.

    This means that in (4.22) we can use the interpolation inequalities:

    DvjL2pνp(Bτ2(0))Dvj1λνLt(Bτ2(0))DvjλνLp(Bτ2(0)),

    where it is

    12pνp=1λνt+λνp  λν=p(t+p2pν)(2pνp)(tp)and1λν=2t(pνp)(2pνp)(tp),

    for all νIκ, to have

    DvjLt(Bτ1(0))c(τ2τ1)θ1(1χ)Hj(vj,B1(0))1/p+cHj(vj,B1(0))θ1/p(τ2τ1)θ1(1χ)κν=1A(2pνp)(1θ1)pν,jDvjYν/pLt(Bτ2(0))Dvj(2pνp)(1θ1)λνpLp(Bτ2(0)), (4.23)

    where

    Yν:=(2pνp)(1θ1)(1λν). (4.24)

    At this stage, we can fix q=4d, notice that

    χ>χ1:=max{1s2dp,maxνIκ(1s(4dp)8d(pνp))}  Yν/p<1 (4.25)

    for all νIκ. Furthermore, fixing any μ(0,1] and in accordance increasing further the value of χ, it is

    χ2:=max{χ1,maxνIκ(1sμp(4dp)(pνp)(2n(4dp)+8μpd))}<χ maxνIκ(2n(pνp)(1θ1)p(pYν))<μ. (4.26)

    From (4.25) we see that we can apply Young inequality with conjugate exponents (pYν,ppYν) to get

    DvjLt(Bτ1(0))116DvjLt(Bτ2(0))+c(τ2τ1)θ1(1χ)Hj(vj,B1(0))1/p+κν=1cHj(vj,B1(0))pθ1+(2pνp)(1θ1)λνp(pYν)A(2pνp)(1θ1)pYνν,j(τ2τ1)pθ1(1χ)pYν,

    for cc(data,H(,Dv)L1+δg(B2ϱ(x0)),μ,d). Such a dependency can be justified by the fact that all the parameters coming from Lemma 2.2 ultimately depend only on (data0,μ,d). The content of the previous display legalizes an application of Lemma 2.4, so we obtain

    DvjLt(B1/2(0))cHj(vj,B1(0))1/p+cκν=1Hj(vj,B1(0))pθ1+(2pνp)(1θ1)λνp(pYν)A(2pνp)(1θ1)pYνν,j, (4.27)

    with cc(data,H(,Dv)L1+δg(B2ϱ(x0)),μ,d).

    Step 5: Higher integrability via interpolation - 1 < p < 2

    We jump back to (4.15) and apply Hölder and Young inequalities with conjugate exponents (2p,22p) to get

    B1(0)η2|τhDvj|p dx(2.1)c(B1η2|τhVp(Dvj)|2 dx)p/2(B1(0)η2D(h)p/2 dx)2p2(4.15)c|h|δpB1(0)|Dvj|p dx+c|h|δp(κν=1B1(0)A2pνpν,j|Dvj|2pνp dx)p/2(B1(0)|Dvj|p dx)2p2c|h|δpB1(0)|Dvj|p dx+c|h|δpκν=1B1(0)A2pνpν,j|Dvj|2pνp dx,

    with cc(n,p,p1,,pκ,κ), which by Lemma 2.1 yields that DvjWs,p(B2/3(0),Rn) for all s(0,δ). At this stage, upon choosing s=δ/p, the procedure remains identical to the one described for the superquadratic case, so (4.27) holds also when p(1,2).

    Step 6: Conclusions

    Notice that Aν,jAν as j, where

    Aν:=(aν,ϱ2L(B1(0))+[aν,ϱ]20,αν;B1(0))12pνp. (4.28)

    Moreover, we can use (4.8), (4.9) and weak lower semicontinuity for passing to the limit in (4.27) and obtain

    DvϱLt(B1/2(0))cHϱ(vϱ,B1(0))1/p+cκν=1Hϱ(vϱ,B1(0))pθ1+(2pνp)(1θ1)λνp(pYν)A(2pνp)(1θ1)pYνν.

    Scaling back to v, using Hölder inequality on the left-hand side to control the Ld-average of v (keep in mind that t>d) and setting

    { Γν1:=pθ1+(2pνp)(1θ1)λνp(pYν) Γν2:=(2pνp)(1θ1)pYνΓν:=2(1θ1)pYν, (4.29)

    we obtain

    (Bϱ/2(x0)|Dv|d dx)1/dc(Bϱ(x0)H(x,Dv) dx)1/p+cκν=1AΓν2ν(Bϱ(x0)H(x,Dv) dx)Γν1, (4.30)

    with cc(data,H(,Dv)L1+δg(B2ϱ(x0)),μ,d). Now notice that the choice of parameters made in Step 4 and definitions (4.24)–(4.29) yield that

    Γν1=2(pνp)(1θ1)p(pYν)+1p(4.25)>0,

    therefore with these expansions (4.30) becomes

    (Bϱ/2(x0)|Dv|d dx)1/dc(Bϱ(x0)H(x,Dv) dx)1/p+cκν=1AΓν2ν(Bϱ(x0)H(x,Dv) dx)2(pνp)(1θ1)p(pYν)+1p, (4.31)

    with cc(data,H(,Dv)L1+δg(B2ϱ(x0)),μ,d).

    Step 7: Degenerate phase

    If degJ(Bϱ(x0)) is in force, we first set μ=1/2 to remove it from the dependencies of the constants as it will not have a role in this scenario. Furthermore, (1.1) and a quick computation show that

    aνL(Bϱ(x0))4ϱαν[aν]0,αν;Bϱ(x0)+infxBϱ(x0)aν(x), (4.32)

    so (4.32) and the definition in (4.28) yield that

    A2pνpν4J2ϱ2αν[aν]20,αν;Bϱ(x0), (4.33)

    which means that we can rearrange (4.31) as

    (Bϱ/2(x0)|Dv|d dx)1/dc(Bϱ(x0)H(x,Dv) dx)1/p+cκν=1JΓνϱΓν(ανn(pνp)p)H(,Dv)Γν(pνp)pL1(Bϱ(x0))(Bϱ(x0)H(x,Dv) dx)1/p(1.3)cJΓ(Bϱ(x0)H(x,Dv) dx)1/p,

    where Γ:=maxνIκΓν and cc(data,H(,Dv)L1+δg(B2ϱ(x0)),d).

    Step 8: Nondegenerate/mixed phase

    Assume that either ndegJ(Bϱ(x0)) or mixJ(Bϱ(x0)) is in force. Keeping (4.32) in mind, this means that either (4.33) never holds or that it is verified only for all those indices belonging to d. So it is convenient to replace (4.33) with

    A2pνpν20(aν2L(Bϱ(x0))+[aν]20,αν;Bϱ(x0)),

    so we can conclude via (4.26) that

    (Bϱ/2(x0)|Dv|d dx)1/dc(Bϱ(x0)H(x,Dv) dx)1/p+cϱμκν=1H(,Dv)(pνp)ΓνpL1(Bϱ(x0))(Bϱ(x0)H(x,Dv) dx)1/pcϱμ(Bϱ(x0)H(x,Dv) dx)1/p,

    with cc(data,aνL(B2ϱ(x0)),H(,Dv)L1+δg(B2ϱ(x0)),μ,d).

    Step 9: Dependency of constants and their stability under blow up

    In Step 1 we stressed that the functional Hj() preserves the multi-phase structure, therefore all the results listed in Section 3 apply. In particular, given that we are working on approximating, rescaled problems, we are interested in studying the stability of the constants appearing in Theorem 3 when it is applied to the sequence {vj}jN solutions to (4.4) with respect to scaling and passage to the limit as j. As already pointed out in Step 1, we notice that by Lemma 3.3, the original local minimizer v of functional H() is locally more integrable, in the sense that whenever Bϱ(x0)B2ϱ(x0)Ω is any ball with radius ϱ(0,1], vW1,p(1+δg)(Bϱ(x0)) for some δgδg(data,H(,Dv)L1(B2ϱ(x0))). Such information is directly transferred on the blown up map vϱ defined at the very beginning of Step 1, which now satisfies Hϱ(,Dvϱ)W1,1+δg(B1(0)), where δgδg(data,H(,Dv)L1(B2ϱ(x0))) is of course the same higher integrability threshold of v. By (4.2)3 and (4.3) it is

    { Hj(,D˜vj,ϱ)L1(B1(0))Hϱ(,Dvϱ)L1(B1(0))+1 Hj(,D˜vj,ϱ)L1+δg(B1(0))Hϱ(,Dvϱ)L1+δg(B1(0))+1, (4.34)

    for jN sufficiently large and, clearly, up to relabel there is no loss of generality in assuming that (4.34) holds for all integers j1. Looking at vj, solution to (4.4), we see that a global higher integrability result applies by means of Lemma 3.4 with δ0δg, cf. (4.6) and, by Remark 3.1 the dependency of c from M0 is nondecreasing and always appears in the form

    [aν,ϱ]0,αν;B1(0)Mpνpp0for all  νIκ, (4.35)

    where we have also exploited that

    [aν,ϱ+σνj]0,αν;B1(0)[aν,ϱ]0,αν;B1(0). (4.36)

    Precisely, by (4.34)1 it is M0:=Hϱ(,Dvϱ)L1(B1(0))+1, so scaling (4.35) back on Bϱ(x0), we can conclude that

    [aν,ϱ]0,αν;B1(0)Mpνpp0=ϱανn(pνp)p[aν]0,αν;Bϱ(x0)(H(,Dv)L1(Bϱ(x0))+1)pνpp(1.3)[aν]0,αν;Bϱ(x0)(H(,Dv)L1(Bϱ(x0))+1)pνpp. (4.37)

    Recalling that c is nondecreasing in M0, we deduce that

    c(data,M0)(4.35),(4.37)c(data,H(,Dv)L1(B2ϱ(x0))). (4.38)

    The same procedure applies for the constant appearing in the local higher integrability result of Lemma 3.3 with M=M0 as by minimality it is

    Hj(,Dvj)L1(B1(0))Hj(,D˜vj,ϱ)L1(B1(0))(4.34)1Hϱ(,Dvϱ)L1(B1(0))+1,

    and the dependencies of the constants from Gehring Lemmas have been fixed. We further stress that, looking at the proof of Gehring Lemmas, [36,Lemmas 4 and 5], [43,Chapter 6] and [42,Theorem 3 and Proposition 1,Chapter 2], we can exploit (4.38) to make sure that the higher integrability thresholds δg and σg depend ultimately on (data,H(,Dv)L1(B2ϱ(x0))). From Remark 3.1, we see also that the all the constants appearing in Theorem 3 are nondecreasing with respect to Mg, with the (obvious) choice Mg=Hϱ(,Dvϱ)L1+δg(B1(0))+1. In fact, Lemma 3.4 renders

    Hj(,Dvj)L1+σg(B1(0))cHj(,D˜vj,ϱ)L1+δg(B1(0))(4.34)2cHϱ(,Dvϱ)L1+δg(B1(0))+c,

    for cc(data,H(,Dv)L1(B2ϱ(x0))), cf. (4.38). Again, keeping (4.36) in mind, from [36] we have that this dependency is of the form [aν,ϱ]0,αν;B1(0)Mpνppg for all νIκ, so scaling back we get

    [aν,ϱ]0,αν;B1(0)Mpνppg=ϱανn(pνp)p(1+δg)[aν]0,αν;Bϱ(x0)(H(,Dv)L1+δg(Bϱ(x0))+1)pνpp(1.3)[aν]0,αν;Bϱ(x0)(H(,Dv)L1+δg(Bϱ(x0))+1)pνpp,

    so we can conclude that c(data,Mg)c(data,H(,Dv)L1+δg(B2ϱ(x0))). Moreover, looking carefully to the arguments developed in [36], in addition to those described above, another kind of dependency appears that seems to be dangerous for our blow up procedure. In fact, suitably adapting [36,Corollary 3] to our framework, we have constants that are nondecreasing functions of

    { [aν,ϱ]0,αν;B1(0)vjpνpL(B5/6(0))  for all  νIκif  p(1+σg)n [aν,ϱ]0,αν;B1(0)[vj]pνp0,λg;B5/6(0)  for all  νIκif  p(1+σg)>n, (4.39)

    where σgσg(data,H(,Dv)L1(B2ϱ(x0))) is the higher integrability threshold given by Lemma 3.4, λg:=1np(1+σg) is the Hölder continuity exponent given by Morrey's embedding theorem and we also used (4.36). Now, if p(1+σg)n, we recall from the proof of [36,Lemma 6] that

    vjpL(B5/6(0))cB1(0)Hj(x,vj) dxcB1(0)Hj(x,DvjD˜vj,ϱ) dx+cB1(0)Hj(x,˜vj,ϱ) dxcB1(0)Hj(x,D˜vj,ϱ) dx(4.3),(4.34)1c(Hϱ(,Dvϱ)L1(B1(0))+1)

    where cc(data,H(,Dv)L1(B2ϱ(x0))) behaves as described in (4.35) so no issues about it arise, see also [30,proof of Theorem 1.1]. Here, we also exploited the minimality of vj, that by construction it is (˜vj,ϱ)B1(0)=0 and Poincaré inequality (3.2). This means that scaling back to Bϱ(x0) in (4.39)1 we have

    [aν,ϱ]0,αν;B1(0)vjpνpL(B5/6(0))c[aν,ϱ]0,αν;B1(0)(Hϱ(,Dvϱ)L1(B1(0))+1)pνpp=cϱανn(pνp)p[aν]0,αν;Bϱ(x0)(H(,Dv)L1(Bϱ(x0))+1)pνpp(1.3)c(H(,Dv)L1(Bϱ(x0))+1)pνpp, (4.40)

    for cc(data,H(,Dv)L1(B2ϱ(x0))) (which, as already mentioned, has been treated in (4.38)). On the other hand if p(1+σg)>n, via Morrey embedding theorem, Lemma 3.4 and Poincaré inequality we have

    [vj]0,λg;B5/6(0)cvjW1,p(1+σg)(B5/6(0))cDvjLp(1+σg)(B5/6(0))+cD˜vj,ϱLp(1+σg)(B5/6(0))+c˜vj,ϱLp(1+σg)(B5/6(0))cHj(,D˜vj,ϱ)1/pL1+σg(B1(0))(4.34)2c(Hϱ(,Dvϱ)L1+δg(B1(0))+1)1/p

    for cc(data,H(,Dv)L1(B2ϱ(x0))) and we also used that (˜vj,ϱ)B1(0)=0. With this last inequality at hand, we can jump back to (4.39)2 and conclude as in (4.40).

    Remark 4.1. We stress that the constants appearing in (1.4)–(1.5) are nondecreasing with respect to H(,Dv)L1+δg(B2ϱ(x0)) and to J.

    In this section we provide Calderón-Zygmund type estimates for local minimizers of the nonhomogeneous functional G(), according to the following definition.

    Definition 4. Let H(,F)L1loc(Ω), 0a()L(Ω) and (1.1)2, (1.8) be in force. A function uW1,1loc(Ω) with H(,Du)L1loc(Ω) is a local minimizer of G() if and only if the minimality relation G(u,B)G(u+w,B) holds for every ball BΩ and all wW1,10(B) with H(,Dw)L1(B).

    The outline of the proof of Theorem 2 is analogous to the one of [4,29,31], therefore we shall follow the same steps indicated there and point out only the relevant changes.

    Step 1 - Existence and uniform higher integrability

    Existence and uniqueness for minima of functional G() follows by direct methods under the minimal assumptions 0aν()L(Ω) for all νIκ and H(,F)L1(Ω), that are in any case guaranteed by (1.1), (1.8) and (1.9), cf. [29,Remark 1.2] and Definition 4. Moreover, a straightforward manipulation of [31,Theorem 4] assures that there is a positive higher integrability threshold δγδγ(data,Λ,H(,Du)L1(˜Ω0))<γ1 so that

    H(,Du)L1+δγloc(˜Ω0) (5.1)

    and whenever Bϱ(x0)Ω is a ball with radius ϱ(0,1] it is

    (Bϱ/2(x0)H(x,Du)1+δ dx)11+δcBϱ(x0)H(x,Du) dx+c(Bϱ(x0)H(x,F)1+δ dx)11+δ (5.2)

    for all δ(0,δγ] with cc(data,Λ,H(,Du)L1(Bϱ(x0)),γ).

    Step 2 - Exit time and covering of level sets

    Let Ω0˜Ω0Ω be three open set as in the statement of Theorem 2 and BrΩ0 be a ball with radius rr, a threshold that will be fixed in a few lines. We recall that (5.1)–(5.2) and a standard covering argument render

    H(,Du)L1+δγ(Ω0)c(data,Λ,H(,Du)L1(˜Ω0),H(,F)Lγ(˜Ω0),γ,dist(˜Ω0,Ω)). (5.3)

    We apply the exit time and covering argument as in [29,Theorem 1.1], which in particular yields the collection of balls {Bι}{Bϱι(xι)}{5˜Bι} as denoted in [29,(4.9)–(4.11)]. All such balls are contained in BrΩ0.

    Step 3 - Comparison, first time

    We construct a first comparison problem. Precisely, we let vιu+W1,p0(4Bι) be the solution of Dirichlet problem

    u+W1,p0(4Bι)wminH(w,4Bι), (5.4)

    whose existence and uniqueness is guaranteed by standard direct methods. By minimality, vι satisfied the integral identity

    0=4BιH(x,Dvι),Dφ dx, (5.5)

    for all φW1,p0(4Bι) so that H(,Dφ)L1(4Bι). Moreover, by the minimality of vι in Dirichlet class u+W1,p0(4Bι), (5.3), Lemma 3.4 and Remark 3.1 we have

    { 4BιH(x,Dvι) dx4BιH(x,Du) dx 4BιH(x,Dvι)1+σg dxc4BιH(x,Du)1+σg dx, (5.6)

    for c,σgc,σg(datacz) and σg(0,δγ). To get this dependency, motivated by (5.3) and (5.6)1, we choose in Lemma 3.4 M0=H(,Du)L1(˜Ω0). Moreover, by Theorem 4 we have that vιC1,β0loc(4Bι) for some β0β0(data0) and, according to Theorem 1, reverse Hölder inequalities (1.4)–(1.5) hold for all d[1,) and any μ(0,1] within 4Bι. Extending uvι0 in Ω4Bι and recalling the definitions given in Section 2.3, we see that we can proceed as in [29,(4.17)] to get

    4BιV(Du,Dvι) dxcε4BιH(x,Du) dx+cε4BιH(x,F) dx, (5.7)

    for cc(n,Λ,p,p1,,pκ,κ) and cc(n,Λ,p,p1,,pκ,κ,ε).

    Step 4 - Comparison, second time

    We define

    a+ι,ν:=supx¯2Bιaν(x)for all  νIκ (5.8)

    and notice that Theorem 4 yields that vιW1,(2Bι), therefore setting

    RnzH+(z):=|z|p+κν=1a+ι,ν|z|pν,

    it trivially holds that H+(Dvι)L1(2Bι). This means that we can consider the solution wιvι+W1,p(2Bι) of the second Dirichlet problem

    vι+W1,p0(2Bι)wmin2BιH+(Dw) dx. (5.9)

    By minimality, wι satisfies

    { 2BιH+(Dwι),Dφ dx=0 2BιH+(Dwι) dx2BιH+(Dvι) dx, (5.10)

    and in particular (5.10)1 holds for all φW1,p0(2Bι) so that H+(Dφ)L1(2Bι). After extending vιwι0 in Ω02Bι, we see that the function vιwι is admissible in both (5.5)–(5.10)1 so standard monotonicity arguments yield

    2BιV0(Dvι,Dwι;2Bι) dxc2BιH+(Dvι)H+(Dwι),DvιDwι dx(5.5),(5.10)1=c2BιH+(Dvι)H(x,Dvι),DvιDwι dxcκν=12Bι|a+ι,νaν(x)||Dvι|pν1|DvιDwι| dxcκν=1(osc2Bιaν)2Bι|Dvι|pν1|DvιDwι| dx=:cκν=1(I)ν, (5.11)

    for cc(n,p,p1,,pκ,κ). Here we employed again the definitions given in Section 2.3. In the following we shall introduce three new positive constants, which may vary from line to line, but will always have the same dependencies:

    cndcnd(n,Λ,p,p1,,pκ,κ);

    cmcm(datacz);

    cdcd(data,Λ,H(,Du)L1(˜Ω0),H(,F)Lγ(˜Ω0),γ,dist(˜Ω0,Ω)).

    Step 5 - Estimates in the nondegenerate phase

    Assume that ndegJ(2Bι) is in force for some J4 that will eventually be fixed as a function of (n,Λ,p,p1,,pκ,κ). In this setting, it is

    osc2Bιaν4ϱανι[aν]0,αν;2Bι4aν(x)Jfor all  νIκ. (5.12)

    Notice that the very definition of H+() and the minimality of wι in class vι+W1,p0(2Bι) and of vι in class u+W1,p0(4Bι) yield that

    2BιH(x,Dwι) dx2BιH+(Dwι) dx2BιH+(Dvι) dx2BιH(x,Dvι) dx+κν=1(osc2Bιaν)2Bι|Dvι|pν dx(5.12)c2BιH(x,Dvι) dxc4BιH(x,Du) dx, (5.13)

    for cc(n,κ), so we may estimate via Hölder inequality with conjugate exponents (pν,pνpν1),

    (I)ν(5.12)cndJ2Bιaν(x)|Dvι|pν1|DvιDwι| dxcndJ(2Bιaν(x)|Dvι|pν dx)pν1pν(2Bιaν(x)[|Dvι|pν+|Dwι|pν] dx)1/pν(5.13)cndJ4BιH(x,Du) dx,

    for cc(n,p,pν,κ). Summing the content of the above display over νIκ we obtain

    κν=1(I)νcndJ4BιH(x,Du) dx. (5.14)

    Step 8 - Estimates in the mixed phase

    Now we assume that mixJ(2Bι) holds with J4 still to be fixed, pick any

    μ(0,minνIκ1pν(ανn(pνp)p(1+δγ)))(1.3){} (5.3) μμ(data,H(,Du)L1(˜Ω0)), (5.15)

    where δγ is the higher integrability exponent determined in Step 1 and set

    σ0:=minνIκ(ανμpνn(pνp)p(1+δγ))(1.3),(5.15)>0.

    Keeping in mind that

    osc2Bιaν2a+ι,ν, (5.16)

    we can proceed as in [4,Section 6] and apply (1.5) with d=pν and μ as in (5.15) to control

    (I)νcϱανι2Bι|Dvι|pν dx+(osc2Bιaν)|2Bι|12Bι{|Dwι|J|Dvι|}|Dvι|pν1|Dwι| dx+(osc2Bιaν)|2Bι|12Bι{|Dwι|<J|Dvι|}|Dvι|pν1|Dwι| dx(5.16)c(1+J)ϱανι2Bι|Dvι|pν dx+cJp12Bιa+ι,ν|Dwι|pν dx(5.10)2c(1+J)ϱανι2Bι|Dvι|pν dx+cJp12BιH+(Dvι) dx(5.6)1cJϱανι2Bι|Dvι|pν dx+cJp1κm=1ϱαmι2Bι|Dvι|pm dx+cndJp14BιH(x,Du) dx(1.5)cmJϱανpνμι(4BιH(x,Dvι)1+σg dx)pνpp(1+σg)4BιH(x,Du) dx+cJp1κm=1ϱαmμpmι(4BιH(x,Dvι)1+σg dx)pmpp(1+σg)4BιH(x,Du) dx+cndJp14BιH(x,Du) dx(5.3),(5.6)cmJϱσ0ιH(,Du)pνppL1+δγ(4Bι)4BιH(x,Du) dx+cndJp14BιH(x,Du) dx+cmϱσ0ιJp1(4BιH(x,Du) dx)κm=1H(,Du)pmppL1+δγ(4Bι)(cmJϱσ0ι+cndJp1)4BιH(x,Du) dx.

    We stress that here we also used Remark 4.1 and (5.1)–(5.3) to determine such dependencies for the various constants appearing above. Summing the above inequalities over νIκ we get

    κν=1(I)ν(cmJϱσ0ι+cndJp1)4BιH(x,Du) dx. (5.17)

    Step 9 - Estimates in the degenerate phase

    Finally, we look at the case deg(2Bι). We set

    τ0:=minνIκ(ανn(pνp)p(1+δγ))(1.3)>0 (5.3) τ0τ0(data,H(,Du)L1(˜Ω0))

    and as done in Step 8 we estimate

    (I)νcϱανι2Bι|Dvι|pν dx+c|2Bι|1(osc2Bιaν)2Bι{|Dwι|J|Dvι|}|Dvι|pν1|Dwι| dx+c|2Bι|1(osc2Bιaν)2Bι{|Dwι|<J|Dvι|}|Dvι|pν1|Dwι| dx(5.16)c(1+J)ϱανι2Bι|Dvι|pν dx+cJp12Bιa+ι,ν|Dwι|pν dx(5.10)2cJϱανι2Bι|Dvι|pν dx+cJp1κm=1ϱαmι2Bι|Dvι|pm dx+cJp12BιH(x,Dvι) dx(1.4),(5.6)1cdJˉpΓ+1ϱανι(4BιH(x,Dvι)1+σg dx)pνpp(1+σg)4BιH(x,Dvι) dx+cdJˉpΓp+1κm=1ϱαmι(4BιH(x,Dvι)1+σg dx)pmpp(1+σg)4BιH(x,Dvι) dx+cndJp14BιH(x,Du) dx(5.3),(5.6)cdJ2ˉpΓϱτ0ιH(,Du)pνppL1+δγ(4Bι)4BιH(x,Du) dx+cndJp14BιH(x,Du) dx+cdJ2ˉpΓϱτ0ι(4BιH(x,Du) dx)κm=1H(,Du)pmppL1+δγ(4Bι)(cdJ2ˉpΓϱτ0ι+cndJp1)4BιH(x,Du) dx.

    Summing the content of the previous display over νIκ we obtain

    κν=1(I)ν(cdJ2ˉpΓϱτ0ι+cndJp1)4BιH(x,Du) dx. (5.18)

    Step 10 - Matching phases and comparison estimates

    Combining (5.11), (5.14), (5.17) and (5.18) we obtain

    \begin{eqnarray} \mathop{\int\hskip -1,05em -\, \!\!\!}\nolimits_{2B_{\iota}}\mathcal{V}_{0}(Dv_{\iota}, Dw_{\iota};2B_{\iota}) \ {\, {{\rm{d}}}x}&\le&c\left(c_{\texttt{m}}J \varrho_{\iota}^{\sigma_{0}}+c_{\texttt{d}}J^{2\bar{p}\Gamma} \varrho_{\iota}^{\tau_{0}}+\frac{c_{\texttt{nd}}}{J^{p-1}}\right) \mathop{\int\hskip -1,05em -\, \!\!\!}\nolimits_{4B_{\iota}}H(x, Du) \ {\, {{\rm{d}}}x}, \end{eqnarray} (5.19)

    with c\equiv c(n, \Lambda, p, p_{1}, \cdots, p_{ \kappa}, \kappa) , so via triangular inequality we get

    \begin{eqnarray} \mathop{\int\hskip -1,05em -\, \!\!\!}\nolimits_{2B_{\iota}}\mathcal{V}(Du, Dw_{\iota}) \ {\, {{\rm{d}}}x}&\le&c \mathop{\int\hskip -1,05em -\, \!\!\!}\nolimits_{2B_{\iota}}\left[\mathcal{V}_{0}(Dv_{\iota}, Dw_{\iota};2B_{\iota})+\mathcal{V}(Du, Dv_{\iota})\right] \ {\, {{\rm{d}}}x} \\ &\stackrel{(5.7), (5.19)}{\le}&c\left(\varepsilon+c_{\texttt{m}}Jr^{\sigma_{0}}+c_{\texttt{d}}J^{2\bar{p}\Gamma}r^{\tau_{0}}+\frac{c_{\texttt{nd}}}{J^{p-1}}\right) \mathop{\int\hskip -1,05em -\, \!\!\!}\nolimits_{4B_{\iota}}H(x, Du) \ {\, {{\rm{d}}}x} \\ &&+c_{\varepsilon} \mathop{\int\hskip -1,05em -\, \!\!\!}\nolimits_{4B_{\iota}}H(x, F) \ {\, {{\rm{d}}}x}, \end{eqnarray} (5.20)

    for c\equiv c(n, \Lambda, p, p_{1}, \cdots, p_{ \kappa}, \kappa) . Here we also used that \varrho_{\iota}\le r , cf. Step 2. Next, we set

    \begin{eqnarray*} \mathcal{S}(\varepsilon, r, J, M): = c\varepsilon+cc_{\texttt{m}}Jr^{\sigma_{0}}+cc_{\texttt{d}}J^{2\bar{p}\Gamma}r^{\tau_{0}}+\frac{cc_{\texttt{nd}}}{J^{p-1}}+\frac{c_{\varepsilon}}{M}, \end{eqnarray*}

    with c\equiv c(n, \Lambda, p, p_{1}, \cdots, p_{ \kappa}, \kappa) and use the informations contained in [29,(4.14) _{2} ] (which come from a covering and exit time argument, so they do not depend on the particular form of H(\cdot) therefore apply in our case as well) to establish that

    \begin{eqnarray} \mathop{\int\hskip -1,05em -\, \!\!\!}\nolimits_{2B_{\iota}}\mathcal{V}(Du, Dw_{\iota}) \ {\, {{\rm{d}}}x}\le \mathcal{S}(\varepsilon, r, J, M)\lambda, \end{eqnarray} (5.21)

    which holds for any J\ge 4 and for all balls B_{\iota} from the covering in Step 2. We stress that (5.21) holds true independently from the degenerate/nondegenerate/mixed status of H(\cdot) . Next, we show that

    \begin{eqnarray} \mathop{\int\hskip -1,05em -\, \!\!\!}\nolimits_{2B_{\iota}}H_{+}(Dw_{\iota}) \ {\, {{\rm{d}}}x}\le c\lambda, \end{eqnarray} (5.22)

    with c\equiv c(\texttt{data}_{ \text{cz}}) . Assume first that \texttt{ndeg}_{ \text{J}}(2B_{\iota}) holds with J = 10 . Then we have

    \begin{eqnarray*} \mathop{\int\hskip -1,05em -\, \!\!\!}\nolimits_{2B_{\iota}}H_{+}(Dw_{\iota}) \ {\, {{\rm{d}}}x}&\stackrel{(5.10)_{2}}{\le}& \mathop{\int\hskip -1,05em -\, \!\!\!}\nolimits_{2B_{\iota}}H_{+}(Dv_{\iota}) \ {\, {{\rm{d}}}x}\nonumber \\ &\stackrel{(5.12)}{\le}&c \mathop{\int\hskip -1,05em -\, \!\!\!}\nolimits_{2B_{\iota}}H(x, Dv_{\iota}) \ dx\le c \mathop{\int\hskip -1,05em -\, \!\!\!}\nolimits_{4B_{\iota}}H(x, Du) \ {\, {{\rm{d}}}x}\le c\lambda, \end{eqnarray*}

    with c\equiv c(\texttt{data}) . On the other hand, if \texttt{deg}_{ \text{J}}(2B_{\iota}) or \texttt{mix}_{ \text{J}}(2B_{\iota}) hold again with J = 10 , we have

    \begin{eqnarray*} \mathop{\int\hskip -1,05em -\, \!\!\!}\nolimits_{2B_{\iota}}H_{+}(Dw_{\iota}) \ {\, {{\rm{d}}}x}&\stackrel{(5.10)_{2}}{\le}& \mathop{\int\hskip -1,05em -\, \!\!\!}\nolimits_{2B_{\iota}}H_{+}(Dv_{\iota}) \ {\, {{\rm{d}}}x}\nonumber \\ &\stackrel{(5.6)_{1}}{\le}&c\sum\limits_{\nu = 1}^{ \kappa} \varrho_{\iota}^{\alpha_{\nu}} \mathop{\int\hskip -1,05em -\, \!\!\!}\nolimits_{2B_{\iota}}\lvert {Dv_{\iota}}\rvert^{p_{\nu}} \ {\, {{\rm{d}}}x}+c \mathop{\int\hskip -1,05em -\, \!\!\!}\nolimits_{4B_{\iota}}H(x, Du) \ {\, {{\rm{d}}}x}\nonumber \\ &\stackrel{(1.5)}{\le}&c\sum\limits_{\nu = 1}^{ \kappa} \varrho_{\iota}^{\alpha_{\nu}-p_{\nu}\mu}\left( \mathop{\int\hskip -1,05em -\, \!\!\!}\nolimits_{4B_{\iota}}H(x, Dv_{\iota})^{1+\sigma_{g}} \ {\, {{\rm{d}}}x}\right)^{\frac{p_{\nu}-p}{p(1+\sigma_{g})}} \mathop{\int\hskip -1,05em -\, \!\!\!}\nolimits_{4B_{\iota}}H(x, Dv_{\iota}) \ {\, {{\rm{d}}}x}\nonumber \\ &&+c \mathop{\int\hskip -1,05em -\, \!\!\!}\nolimits_{4B_{\iota}}H(x, Du) \ {\, {{\rm{d}}}x}\nonumber\\ &\stackrel{(5.3), (5.6)}{\le}&c \varrho^{\sigma_{0}}_{\iota}\left( \mathop{\int\hskip -1,05em -\, \!\!\!}\nolimits_{4B_{\iota}}H(x, Du) \ {\, {{\rm{d}}}x}\right)\sum\limits_{\nu = 1}^{ \kappa}\lVert {H(\cdot, Du)} \rVert_{L^{1+\delta_{\gamma}}(4B_{\iota})}^{\frac{p_{\nu}-p}{p}}+c \mathop{\int\hskip -1,05em -\, \!\!\!}\nolimits_{4B_{\iota}}H(x, Du) \ {\, {{\rm{d}}}x}\nonumber \\ &\le&c \mathop{\int\hskip -1,05em -\, \!\!\!}\nolimits_{4B_{\iota}}H(x, Du) \ {\, {{\rm{d}}}x} \le c\lambda, \end{eqnarray*}

    for c\equiv c(\texttt{data}_{ \text{cz}}) and (5.22) is completely proven.

    Step 11 - A priori estimates for Dw_{\iota}

    Notice that the frozen integrands H_{+}(\cdot) falls into the realm of those treated in [52]; in particular it is

    \begin{eqnarray*} \sup\limits_{x\in B_{\iota}}H_{+}(Dw_{\iota})\le c \mathop{\int\hskip -1,05em -\, \!\!\!}\nolimits_{2B_{\iota}}H_{+}(Dw_{\iota}) \ {\, {{\rm{d}}}x} \stackrel{(5.22)}{\le}c\lambda \ \Longrightarrow \ \sup\limits_{x\in B_{\iota}}H(\cdot, Dw_{\iota})\le c_{*}\lambda, \end{eqnarray*}

    with c, c_{*}\equiv c, c_{*}(\texttt{data}_{ \text{cz}}) , where we used the definition in (5.8). At this stage, we can proceed exactly as in [29,Steps 10 and 11] to first determine J\equiv J(\texttt{data}_{ \text{cz}})\ge 4 , then \varepsilon\equiv \varepsilon(\texttt{data}_{ \text{cz}})\in (0, 1) , M\equiv M(\texttt{data}_{ \text{cz}}) and finally the threshold radius r_{*}\equiv r_{*}(\texttt{data}_{ \text{cz}})\in (0, 1] to obtain (1.9) and the proof is complete.

    This work is supported by the University of Turin via the project "Regolaritá e proprietá qualitative delle soluzioni di equazioni alle derivate parzial".

    The author declares no conflict of interest.



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