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)∋w↦H(w,Ω):=∫Ω|Dw|p+κ∑ν=1aν(x)|Dw|pν dx, |
where the modulating coefficients {aν}κν∈1 and exponents (p,p1,⋯,pκ) satisfy
0≤aν(⋅)∈C0,αν(Ω)and1<p<minν∈Iκpν | (1.1) |
and the shorthands
Iκ:={1,⋯,κ}andH(x,z):=|z|p+κ∑ν=1aν(x)|z|pν | (1.2) |
will always be used. Exponents p, pν, αν are related by the constraint
pνp≤1+ανnfor all ν∈Iκ, | (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 v∈W1,ploc(Ω) be a local minimizer of functional H(⋅) and Bϱ(x0)⊂B2ϱ(x0)⋐Ω be concentric balls with radius ϱ∈(0,1] and J≥4 be a constant. Then
● in the degenerate regime degJ(Bϱ(x0)) for all d≥1 it holds that
(∫−Bϱ/2(x0)|Dv|d dx)1/d≤cJΓ(∫−Bϱ(x0)H(x,Dv) dx)1/p, | (1.4) |
with c≡c(data,‖H(⋅,Dv)‖L1+δg(B2ϱ(x0)),d) and Γ≡Γ(data0);
● in the nondegenerate regime ndegJ(Bϱ(x0)) or in the mixed one mixJ(Bϱ(x0)), for all d≥1, μ∈(0,1] it is
(∫−Bϱ/2(x0)|Dv|d dx)1/d≤cϱ−μ(∫−Bϱ(x0)H(x,Dv) dx)1/p, | (1.5) |
for c≡c(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.:
maxν∈Iκαν≤2minν∈Iκαν, | (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)∋w↦G(w,Ω):=∫Ω[H(x,Dw)−⟨G(x,F),Dw⟩] dx | (1.7) |
where G:Ω×Rn→Rn 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:Ω→Rn 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 u∈W1,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⋐˜Ω0⋐Ω so that dist(Ω0,∂˜Ω0)≈dist(˜Ω0,∂Ω)≈dist(Ω0,∂Ω); for every γ>1 there exists a radius r∗>0 and a constant c≥1, both depending on (datacz) such that
(∫−Bϱ/2(x0)H(x,Du)γ dx)1/γ≤c∫−Bϱ(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)∋w↦P(w,Ω):=∫Ω[|Dw|p+a(x)|Dw|q] dx,0≤a(⋅)∈C0,α(Ω),qp≤1+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 {x∈Ω: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 ν1≠ν2∈Iκ 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):=supx∈Bhighest eigenvalue of ∂2H(x,z)lowest eigenvalue of ∂2H(x,z)≤c(n,p,p1,⋯,pκ) | (1.11) |
for any z∈Rn and all balls B⋐Ω. 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):=supx∈Bhighest eigenvalue of ∂2H(x,z)infx∈Blowest eigenvalue of ∂2H(x,z)≲1+κ∑ν=1‖aν‖L∞(B)|z|pν−p, |
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×Rn→R with a rate of nonuniform ellipticity stronger than (1.11), i.e.:
{ |z|p≲F(x,z)≲1+|z|q RF(z)≲|z|q−pwith 1<p≤q. |
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/p≤1+o(n), where o(n)→n→∞0. 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 Ω⊂Rn 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):={x∈Rn:|x−x0|<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., Br≡Br(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, k∈N. With B⊂Rn being a measurable subset with bounded positive measure 0<|B|<∞, and with g:B→Rk, k≥1, being a measurable map, we shall denote the integral average of g over B by
(g)B≡∫−Bg(x) dx:=1|B|∫Bg(x) dx. |
Moreover, if g:Ω→Rk is any map, U⊂Ω is an open set and β∈(0,1] is a given number we shall denote
[g]0,β;U:=supx,y∈U;x≠y|g(x)−g(y)||x−y|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 g∈C1,β(U,Rk) provided that Dg∈C0,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:=maxν∈Iκ‖aν‖L∞(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:Ω→Rk, k≥1 and a vector h∈Rn, 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. x∈Ω|h|, |
where Ω|h|:={x∈Ω:dist(x,∂Ω)>|h|}. Let us record the fundamentals of fractional Sobolev spaces, see [37] for more details on this matter.
Definition 1. Let Ω⊂Rn be an open set with n≥2 (the case Ω≡Rn is allowed as well), α∈(0,1), p∈[1,∞) and k∈N be numbers. The fractional Sobolev space Wα,p(Ω,Rk) is defined by prescribing that w:Ω→Rk belongs to Wα,p(Ω,Rk) iff the following Gagliardo type norm is finite:
‖w‖Wα,p(Ω):=‖w‖Lp(Ω)+(∫Ω∫Ω|w(x)−w(y)|p|x−y|n+αp dxdy)1/p=:‖w‖Lp(Ω)+[w]α,p;Ω. |
Accordingly, if α=[α]+{α}∈N+(0,1)>1, we say that w∈Wα,p(Ω,Rk) iff the following quantity is finite
‖w‖Wα,p(Ω):=‖w‖W[α],p(Ω)+[D[α]w]{α},p;Ω. |
The local variant Wα,ploc(Ω,Rk) is defined by requiring that w∈Wα,p(˜Ω,Rk) for every open subset ˜Ω⋐Ω.
A class of spaces that is strictly related to fractional Sobolev spaces is that of Nikol'skii spaces.
Definition 2. Let Ω⊂Rn be an open set with n≥2 and α∈(0,1), p∈[1,∞), k∈Rn be numbers. The Nikol'skii space Nα,p(Ω,Rk) is defined by prescribing that w∈Nα,p(Ω,Rk) iff
‖w‖Nα,p(Ω):=‖w‖Lp(Ω)+(sup|h|≠0∫Ω|h||w(x+h)−w(x)|p|h|αp dx)1/p. |
The local variant Nα,ploc(Ω,Rk) is defined by requiring that w∈Nα,p(˜Ω,Rk) for every open subset ˜Ω⋐Ω.
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 Br⋐Rn be a ball with r≤1, w∈Lp(Br,Rk), p>1 and assume that, for α∈(0,1], S≥1 and concentric balls Bϱ⋐Br, there holds
‖τhw‖Lp(Bϱ,Rk)≤S|h|αforeveryh∈Rnwith0<|h|≤r−ϱK,whereK≥1. |
Then w∈Wβ,p(Bϱ,Rk) whenever β∈(0,α) and
‖w‖Wβ,p(Bϱ,Rk)≤c(α−β)1/p(r−ϱK)α−βS+c(Kr−ϱ)n/p+β‖w‖Lp(Br,Rk), |
holds, where c≡c(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 Bϱ⋐Br⋐Rn be concentric balls with r≤1. Let 0<s1<1<s2<2, 1<p,q<∞, t>1 and θ∈(0,1) be such that
1=θs1+(1−θ)s2,1t=θq+1−θp. |
Then every function w∈Ws1,q(Br)∩Ws2,p(Br) belongs to W1,t(Bϱ) and the inequality
‖Dw‖Lt(Bϱ)≤c(r−ϱ)κ[w]θs1,q;Br‖Dw‖1−θWs2−1,p(Br) | (2.1) |
holds for constants c,κ≡c,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:Rn→Rn, defined by
Vm(z):=|z|(p−2)/2z,m∈(1,∞) |
whenever z∈Rn. 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)(p−2)/4|z1−z2|, | (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,z2∈Rn being arbitrary vectors and B⊂Rn being a ball, we introduce two quantities that will be often used throughout the paper
V(z1,z2):=|Vp(z1)−Vp(z2)|2+κ∑ν=1aν(x)|Vpν(z1)−Vpν(z2)|2;V0(z1,z2;B):=|Vp(z1)−Vp(z2)|2+κ∑ν=1(supx∈ˉBaν(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,z2∈Rn be so that |z1|+|z|2>0. Then
∫10|z1+λ(z2−z1)|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,γ2≥0 be numbers. If
Z(τ1)≤εZ(τ2)+a1(τ2−τ1)γ1+a2(τ2−τ1)γ2forall ϱ≤τ1<τ2<R, |
then
Z(ϱ)≤c[a1(R−ϱ)γ1+a2(R−ϱ)γ2], |
holds with c≡c(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 0≤a(⋅)∈L∞(Ω) and (1.1)2 in force, a function v∈W1,1loc(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 B⋐Ω and all w∈W1,10(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 w∈W1,ploc(Ω) be any function so that whenever B⋐Ω 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}j∈N⊂C∞loc(Ω) so that it holds
{ ˜wj→w 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 Bϱ⋐Rn be a ball with radius ϱ∈(0,1] and w∈W1,p(Bϱ) be any function so that H(⋅,Dw)∈L1(Bϱ). Then there are a positive constant c≡c(data0,κ) and an exponent d≡d(n,p,p1,⋯,pκ)∈(0,1) so that
∫−BϱH(x,w−(w)Bϱϱ) dx≤c(1+κ∑ν=1[aν]0,αν;Bϱ‖Dw‖pν−pLp(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 Bϱ⊂B2ϱ⋐Ω be any ball with radius ϱ∈(0,1] and v∈W1,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 δg≡δg(data,M) so that
(∫−BϱH(x,Dv)1+δ dx)11+δ≤c∫−B2ϱH(x,Dv) dx, | (3.3) |
for all δ∈(0,δg], with c≡c(data,M).
The global counterpart of Lemma 3.1 is in the next lemma.
Lemma 3.4. Under assumptions (1.1)–(1.3), let Bϱ⋐Ω be a ball with radius ϱ∈(0,1], u0∈W1,p(1+δ0)(Bϱ) for some δ0>0 with ‖H(⋅,Du0)‖L1(Bϱ)≤M0 be any function and v0∈u0+W1,p0(Bϱ) be the solution of Dirichlet problem
u0+W1,p0(Bϱ)∋w↦minH(w,Bϱ). |
There exists an higher integrability threshold σg≡σg(data,M0,δ0)∈(0,δ0) so that
∫−BϱH(x,Dv0)1+σg dx≤c∫−BϱH(x,Du0)1+σg dx, |
for c≡c(data,M0,δ0).
We further recall a straightforward manipulation of [36,Theorem 2].
Theorem 3. Under assumptions (1.1)–(1.3), let B⊂2B⋐Ω be a ball and v∈W1,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 Bσ1⊂Bσ2⋐B are concentric balls with radii 0<σ1≤σ2≤1, for every β∈(0,n) it holds that
∫Bσ1H(x,Dv) dx≤c(σ1σ2)n−β∫Bσ2H(x,Dv) dx, |
with c≡c(data,Mg,β). In particular, v∈C0,γ0(B) for all γ0∈(0,1) with
[v]0,γ0;B2σ/3≤cσ1−γ0(∫−BσH(x,Dv) dx)1/p, | (3.4) |
for c≡c(data,Mg,γ0).
Finally, we conclude this section with the main result of [36].
Theorem 4. Let v∈W1,ploc(Ω) be a local minimizer of functional H(⋅), with (1.1)–(1.3) in force. Then v∈C1,β0loc(Ω) for some β0≡β0(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 J≥4, we shall say that H(⋅) is in the degenerate phase degJ(Bϱ(x0)) on Bϱ(x0) if
infx∈Bϱ(x0)aν(x)≤J[aν]0,αν;Bϱ(x0)ϱανfor all ν∈Iκ, |
or H(⋅) is in the nondegenerate phase ndegJ(Bϱ(x0)) when
infx∈Bϱ(x0)aν(x)>J[aν]0,αν;Bϱ(x0)ϱανfor all ν∈Iκ, |
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,nd⊂Iκ which can be characterized as
{ infx∈Bϱ(x0)aν(x)≤J[aν]0,αν;Bϱ(x0)ϱανfor all ν∈d infx∈Bϱ(x0)aν(x)>J[aν]0,αν;Bϱ(x0)ϱανfor all ν∈nd. |
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 v∈W1,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 δg≡δg(data,‖H(⋅,Dv)‖L1(B2ϱ(x0))), so Lemma 3.1 applies and we obtain a sequence {˜vj}j∈N⊂C∞(ˉBϱ(x0)) so that (3.1) holds with B≡Bϱ(x0). We blow up v on Bϱ(x0) by defining B1(0)∋x↦vϱ(x):=(v(x0+ϱx)−(v)Bϱ(x0))ϱ−1 and notice that a simple scaling argument shows that vϱ∈W1,p(B1(0)) is a local minimizer of functional
W1,p(B1(0))∋w↦Hϱ(w,B1(0)):=∫B1(0)Hϱ(x,z) dx, |
with B1(0)∋x↦aν,ϱ(x):=aν(x0+ϱx) for all ν∈Iκ and
Hϱ(x,z):=[|z|p+κ∑ν=1aν,ϱ(x)|z|pν]. |
By definition we have that
{ ‖aν,ϱ‖L∞(B1(0))=‖aν‖L∞(Bϱ(x0))for all ν∈Iκ [aν,ϱ]0,αν;B1(0)=ϱαν[aν]0,αν;Bϱ(x0)for all ν∈Iκ Hϱ(vϱ,B1(0))=ϱ−nH(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 δg≡δg(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))ϱ−1, by (3.1) with B≡B1(0) we have a sequence {vj,ϱ}j∈N⊂C∞(ˉB1(0)) so that
{ ˜vj,ϱ→vϱ 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 ν∈Iκ and j∈N, we correct the growth of Hϱ(⋅) by introducing the regularized integrands
Hj(x,z):=Hϱ(x,z)+κ∑ν=1σνj|z|pν≡|z|p+κ∑ν=1(aν,ϱ(x)+σνj)|z|pν, |
where we set
σνj:=j−1(1+j+‖D˜vj,ϱ‖2pνLpν(B1(0))+‖D˜vj,ϱ‖2pνLpν(1+δg)(B1(0)))−1. |
By very definition, it is
κ∑ν=1σνj∫B1(0)|D˜vj,ϱ|pν dx+κ∑ν=1(σνj)1+δg∫B1(0)|D˜vj,ϱ|pν(1+δg) dx→0 | (4.3) |
Keeping in mind (1.1)2, we set ˉp:=maxν∈Iκpν and define the family of auxiliary Dirichlet problems
˜vj,ϱ+W1,ˉp0(B)∋w↦Hj(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
vj∈W1,∞(B1(0)), | (4.5) |
given that ˜vj,ϱ∈C∞(ˉB1(0)) and σνj>0 for all ν∈Iκ, 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+σνϱ∈C0,αν(Ω) verify [aν,ϱ+σνϱ]0,αν;B1(0)=[aν,ϱ]0,αν;B1(0) for all ν∈Iκ, therefore Lemma 3.4 applies and there is an exponent σg≡σg(data,‖H(⋅,Dv)‖L1(B2ϱ(x0)))∈(0,δg) so that
‖Hj(⋅,Dvj)‖L1+σg(B1(0))≤c‖Hj(⋅,D˜vj,ϱ)‖L1+σg(B1(0))(4.2),(4.3)≤c(‖Hϱ(⋅,Dvϱ)‖L1+δg(B1(0))+1), | (4.6) |
with c≡c(data,‖H(⋅,Dv)‖L1(B2ϱ(x0))).
Step 2: covergence
Let us prove that the sequence {vj}j∈N⊂W1,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))+κ∑ν=1∫B1(0)σνj|D˜vj,ϱ|pν dx(4.3)≤Hϱ(˜vj,ϱ,B1)+o(j)(4.2)2≤Hϱ(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)2≤Hϱ(˜v,B1(0))≤lim infj→∞Hϱ(vj,B1(0))≤lim supj→∞Hϱ(vj,B1(0))≤lim supj→∞Hj(vj,B1(0))≤lim supj→∞[Hϱ(˜vj,ϱ,B1(0))+κ∑ν=1∫B1(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 z↦Hϱ(⋅,z) we obtain
˜v=vϱ a.e. in B1(0)andlimj→∞Hϱ(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 φ∈W1,ˉp0(B1(0)). We take any vector h∈Rn∖{0} so that |h|≤2−10, a cut-off function η∈C2c(B1(0)) so that
1B3/4(0)≤η≤1B5/6(0),|Dη|2+|D2η|≲1 |
and test (4.10) with φ:=τ−h(η2τhvj). Exploiting the integration by parts formula for finite difference operators, we obtain
0=∫B1(0)⟨τh∂Hj(x,Dvj),D(η2τhvj)⟩ dx=∫B1(0)η2⟨τh∂Hj(x,Dvj),τhDvj⟩ dx+2∫B1(0)ητhvj⟨τh∂Hj(x,Dvj),Dη⟩ dx=:(I)+(II). |
Let us introduce quantities
δ:=minν∈Iκαν,Aν,j:=(‖aν,ϱ‖2L∞(B1(0))+[aν,ϱ]20,α;B1(0)+(σνj)2)12pν−p |
and set for m∈{p,p1,⋯,pκ}
D(h):=[|Dvj(x+h)|2+|Dvj(x)|2],Im(h):=∫10|Dvj(x+λh)|m−2Dvj(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 ϕ∈C∞(B1(0)), so that ‖ϕ‖L1(0)=1, let ϕ|h|:=|h|−nϕ(x/|h|) and regularize for all ν∈Iκ coefficient aν,ϱ(⋅) as done in [30,Section 5] via convolution against {ϕ|h|}|h|>0 thus getting aν|h|:=aν,ϱ∗ϕ|h|∈C∞(B7/8(0)). The newly defined coefficients have the following features:
{ ‖aν|h|‖L∞(B7/8(0))≤‖aν,ϱ‖L∞(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|αν−1for all x∈B7/8(0), | (4.11) |
with c≡c(n). This will be helpful in a few lines. Finally, we record that whenever γ>1 and G∈Lγγ−1(B1(0),Rn), F∈W1,γ0(B5/6(0),Rn) and |h|≤2−10 it is
∫B1(0)⟨τhG,F⟩ dx=−|h|∫B1(0)∫10⟨G(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)=p∫B1(0)η2⟨τh(|Dvj|p−2Dvj),τhDvj⟩ dx+κ∑ν=1pν∫B1(0)η2(aν,ϱ(x)+σνj)⟨τh(|Dvj|pν−2Dvj),τhDvj⟩ dx+κ∑ν=1pν∫B1(0)η2(aν,ϱ(x+h)−aν,ϱ(x))⟨|Dvj(x+h)|pν−2Dvj(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)≥c∫B1(0)η2|τhVp(Dvj)|2 dx+cκ∑ν=1∫B1(0)η2(aν,ϱ(x)+σνj)|τhVpν(Dvj)|2 dx, |
with c≡c(n,p,p1,⋯,pκ), while by Young inequality and standard properties of translation operators we have
|(I)3|≤cκ∑ν=1|h|αν[aν,ϱ]0,αν;B1(0)∫B1(0)η2D(h)pν−12±p−24|τhDvj| dx≤ε∫B1(0)η2D(h)p−22|τhDvj|2 dx+cεκ∑ν=1|h|2αν[aν,ϱ]20,αν;B1(0)∫B1(0)|Dvj|2pν−p dx(2.1)≤cε∫B1(0)η2|τhVp(Dvj)|2 dx+c|h|2δεκ∑ν=1∫B1(0)A2pν−pν,j|Dvj|2pν−p dx, |
for c≡c(n,p,p1,⋯,pκ,κ). Now let us expand term (II):
(II)=2p∫B1(0)ητhvj⟨τh|Dvj|p−2Dvj,Dη⟩ dx+2κ∑ν=1pνσνj∫B1(0)ητhvj⟨τh(|Dvj|pν−2Dvj),Dη⟩ dx+2κ∑ν=1pν∫B1(0)ηaν,ϱ(x)τhvj⟨τh(|Dvj|pν−2Dvj),Dη⟩ dx+2κ∑ν=1pν∫B1(0)η(aν,ϱ(x+h)−aν,ϱ(x))τhvj⟨τh(|Dvj|pν−2Dvj),Dη⟩ dx=:(II)1+(II)2+(II)3+(II)4. |
Set 1p:=1 if p≥2 and 1p=0 when p∈(1,2) and estimate via Lemma 2.3, Young inequality and Hölder inequality with conjugate exponents (p2,pp−2) in the superquadratic case and by (4.12), Hölder inequality with conjugate exponents (p2(p−1),p2−p), Jensen inequality and standard properties of translation operators in the subquadratic case:
|(II)1|≤1p|(II)1|+(1−1p)|(II)1|≤ε1p∫B1(0)η2D(h)p−22|τhDvj|2 dx+c1pε∫B1(0)|Dη|2D(h)p−22|τhvj|2 dx+c|h|(1−1p)∫B1(0)|Ip(h)|[(|Dη|2+|D2η|)|τhvj|+η|Dη||τhDvj|] dx(2.1)≤cε∫B1(0)η2|τhVp(Dvj)|2 dx+c1p|h|2ε∫B1(0)|Dvj|p dx+c|h|(1−1p)(∫B5/6(0)|Ip(h)|pp−1 dx)p−1p(∫B5/6(0)|τhvj|p dx)1/p+c|h|2(1−1p)∫B5/6(0)|Ip(h)|2D(h)2−p2 dx≤cε∫B1(0)η2|τhVp(Dvj)|2 dx+c|h|2ε∫B1(0)|Dvj|p dx+c|h|2(1−1p)(∫B5/6(0)|Ip(h)|pp−1 dx)2(p−1)p(∫B5/6(0)D(h)p/2 dx)2−pp≤cε∫B1(0)η2|τhVp(Dvj)|2 dx+c|h|2ε∫B1(0)|Dvj|p dx, |
for c≡c(n,p). Now we abbreviate
(II)ν2:=2pνσνj∫B1(0)ητhvj⟨τh(|Dvj|pν−2Dvj),Dη⟩ dx;(II)ν3:=2pν∫B1(0)ηaν,ϱ(x)τhvj⟨τh(|Dvj|pν−2Dvj),Dη⟩ dx, |
and bound by means of (2.2), Lemma 2.3, Young inequality, Hölder inequality with conjugate exponents (2pν−p2,2pν−p2pν−p−2) when p≥2 and (p,pp−1), (2pν−p,2pν−p2pν−p−1), (2pν−p2(pν−1),2pν−p2−p) if p∈(1,2) and Jensen inequality,
|(II)ν2|≤1p|(II)ν2|+(1−1p)|(II)ν2|≤ε1p∫B1(0)η2|τhVp(Dvj)|2 dx+c1p(σνj)2ε∫B1(0)|Dη|2D(h)2pν−p−22|τhvj|2 dx+c|h|(1−1p)σνj∫B5/6(0)∫10|Dvj(x+λh)|pν−1|τhvj| dλ dx+c|h|(1−1p)σνj∫B1(0)η|Dη||Ipν(h)||τhDvj| dx≤ε∫B1(0)η2|τhVp(Dvj)|2 dx+c|h|2(σνj)2ε∫B1(0)|Dvj|2pν−p dx+c|h|(1−1p)∫B5/6(0)∫10[(σνj)2|Dvj(x+λh)|2pν−p−1+|Dvj(x+λh)|p−1]|τhvj| dx+c|h|2(1−1p)(σνj)2(∫B5/6(0)|Ipν(h)|2pν−ppν−1 dx)2(pν−1)2pν−p(∫B5/6(0)D(h)2pν−p2 dx)2−p2pν−p≤ε∫B1(0)η2|τhVp(Dvj)|2 dx+c|h|2ε∫B1(0)A2pν−pν,j|Dvj|2pν−p dx, | (4.13) |
with c≡c(n,p,pν). Summing the above inequality for ν∈Iκ we can conclude with
|(II)2|≤κ∑ν=1|(II)ν2|≤κε∫B1(0)η2|τhVp(Dvj)|2 dx+c|h|2εκ∑ν=1∫B1(0)A2pν−pν,j|Dvj|2pν−p dx, |
for c≡c(n,p,p1,⋯,pκ,κ). In a similar way, we control
|(II)ν3|≤1p|(II)ν3|+(1−1p)|(II)ν3|(4.11)1,2≤cε∫B1(0)η2|τhVp(Dvj)|2 dx+c1p‖aν,ϱ‖2L∞(B1(0))ε∫B1(0)|Dη|2D(h)pν−2−p−22|τhvj|2 dx+c(1−1p)|h|αν∫B5/6(0)[[aν,ϱ]20,αν;B1(0)D(h)2pν−p−12+D(h)p−12]|τhvj| dx+c(1−1p)|h|‖aν,ϱ‖2L∞(B1(0))∫B5/6(0)∫10|Dvj(x+λh)|2pν−p−1|τhvj| dλ dx+c(1−1p)|h|∫B5/6(0)∫10|Dvj(x+λh)|p−1|τhvj| dλ dx+c(1−1p)|h|2‖aν,ϱ‖2L∞(B1(0))(∫B5/6(0)|Ipν(j)|2pν−ppν−1 dx)2(pν−1)2pν−p⋅(∫B5/6(0)D(h)2pν−p2 dx)2−p2pν−p+c|h|∫B5/6(0)|Ipν(h)||τhvj||Daν|h|| dx(4.11)3≤cε∫B1(0)η2|τhVp(Dvj)|2 dx+c|h|1+αν∫B1(0)|Dvj|p dx+cε|h|1+αν(‖aν,ϱ‖2L∞(B1(0))+[aν,ϱ]20,αν;B1(0))∫B1(0)|Dvj|2pν−p dx+c|h|αν∫B5/6(0)∫10[aν,ϱ]20,αν;B1(0)|Dvj(x+λh)|2pν−1|τhvj| dλ dx+c|h|αν∫B5/6(0)∫10|Dvj(x+λh)|p−1|τhvj| dλ dx≤cε∫B1(0)η2|τhVp(Dvj)|2 dx+c|h|1+αν∫B1(0)|Dvj|p dx+c|h|1+ανε∫B1(0)A2pν−pν,j|Dvj|2pν−p dx, | (4.14) |
with c≡c(n,p,pν). Summing the inequalities in the previous display we obtain
|(II)3|≤κ∑ν=1|(II)ν3|≤cε∫B1(0)η2|τhVp(Dvj)|2 dx+c|h|2δ∫B1(0)|Dvj|p dx+c|h|2δεκ∑ν=1∫B1(0)A2pν−pν,j|Dvj|2pν−p dx, |
for c≡c(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|≤cκ∑ν=1[aν,ϱ]0,αν;B1(0)|h|αν∫B5/6(0)η|Dη||τhvj|D(h)pν−12 dx≤cκ∑ν=1|h|αν∫B1(0)[[aν,ϱ]20,αν;B1(0)η2D(h)2pν−p−12+D(h)p−12|Dη|2]|τhvj| dx≤c|h|2δ∫B1(0)|Dvj|p dx+c|h|2δκ∑ν=1∫B1(0)A2pν−pν,j|Dvj|2pν−p dx, |
with c≡c(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 dx≤c|h|2δ∫B1(0)|Dvj|p dx+c|h|2δκ∑ν=1∫B1(0)A2pν−pν,j|Dvj|2pν−p dx, | (4.15) |
for c≡c(n,p,p1,⋯,pκ,κ). At this stage we treat separately the superquadratic case p≥2 and the subquadratic one p∈(1,2).
Step 4: Higher integrability via interpolation - p≥2
From (2.2) and (4.15) we obtain
∫B3/4(0)|τhDvj|p dx≤c|h|2δ∫B1(0)[|Dvj|p+κ∑ν=1A2pν−pν,j|Dvj|2pν−p] dx, |
with c≡c(n,p,p1,⋯,pκ,κ), so we apply Lemma 2.1 to deduce that Dvj∈Ws/p,p(B2/3(0),Rn) for all s∈(0,2δ), for simplicity choose s=δ, with
‖Dvj‖Ws/p,p(B2/3(0))≤c[‖Dvj‖Lp(B1(0))+κ∑ν=1‖Aν,jDvj‖2pν−ppL2pν−p(B1(0))], | (4.16) |
with c≡c(data0,κ). Recall that functional Hj(⋅) is of multi-phase type so Theorem 3 applies and vj∈C0,γ0(B2/3(0)) for all γ0∈(0,1) therefore for any 0<χ<γ0<1 and q≥1 it is
[vj]χ,q;B2/3(0)≤c[vj]0,γ0;B2/3(0)(q(γ0−χ))1/q(3.4)<∞, | (4.17) |
with c≡c(n) so we can apply Lemma 2.2 to get
‖Dvj‖Lt(B1/2(0))≤c[vj]θ1χ,q;B2/3(0)‖Dvj‖1−θ1Ws/p,p(B2/3(0))(4.16)≤c[vj]θ1χ,q;B2/3(0)[‖Dvj‖1−θ1Lp(B1(0))+κ∑ν=1‖Aν,jDvj‖(2pν−p)(1−θ1)pL2pν−p(B1(0))] | (4.18) |
where χ<γ0∈(0,1), q>p are arbitrary numbers, c≡c(data0,χ,q,θ1,t) and it is
1=θ1χ+(1−θ1)(1+s/p)and1t=θ1q+1−θ1p, | (4.19) |
which in turn yields that
{ θ1≡θ1(χ)=s/p1−χ+s/p ⟹ 1−θ1=1−χ1−χ+s/p t≡t(q,χ):=qppθ1+q(1−θ1)=q(p(1−χ)+s)s+q(1−χ), | (4.20) |
We stress that θ1≡θ1(p,α1,⋯,ακ,χ) is increasing with respect to χ and, keeping in mind that q>p, exponent t≡t(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:=(τ2−τ1)/4 and, for a finite J⊂N, take a covering of Bτ1(0) with a collection of balls {Bσ/2(yι)}ι∈J made by |J|=c(n)(τ2−τ1)−n balls so that yι∈Bτ1(0) for all ι∈J. 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):=σ−1(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))∋w↦min∫B1(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)=σχ−1−n/q[vj]χ,q;B2σ/3(yι), |
we can scale back to vj for getting
∫Bσ/2(yι)|Dvj|t dx≤cσtθ1(χ−1)+n(1−tθ1q−(1−θ1)tp)[vj]θ1tχ,q;B2σ/3(yι)⋅(∫Bσ(yι)[|Dvϱ|p+κ∑ν=1A2pν−pν,j|Dvj|2pν−p] dx)(1−θ1)tp(4.19)2≤c[vj]θ1tχ,q;B2σ/3(yι)σtθ1(1−χ)⋅(∫Bσ(yι)[|Dvϱ|p+κ∑ν=1A2pν−pν,j|Dvj|2pν−p] dx)(1−θ1)tp, | (4.21) |
where it is c≡c(data0,χ,q,θ1,t) and we also used that
{ ‖aνι‖L∞(B1(0))=‖aν,ϱ‖L∞(Bσ(yι)), [aνι]0,αν;B1(0)=σαν[aν,ϱ]0,αν;Bσ(yι)for all ν∈Iκ, |
which yields that
‖aνι‖2L∞(B1(0))+[aνι]20,αν;B1(0)+(σνj)2≤A2pν−pν,j. |
Summing (4.21) for ι∈J and using the discrete Hölder inequality (qθ1t,pt(1−θ1)) (legal by means of (4.19)2), we obtain
∫Bτ1(0)|Dvj|t dx≤∑ι∈J∫Bσ/2(yι)|Dvj|t dx≤cσtθ1(1−χ)∑ι∈J[vj]θ1tχ,q;B2σ/3(yι)⋅(∫Bσ(yι)[|Dvj|p+κ∑ν=1A2pν−pν,j|Dvj|2pν−p] dx)(1−θ1)tp≤cσtθ1(1−χ)(∑ι∈J[vj]qχ,q;B2σ/3(yι))θ1tq⋅(∑ι∈J∫Bσ(yι)[|Dvj|p+κ∑ν=1A2pν−pν,j|Dvj|2pν−p] dx)(1−θ1)tp≤c[vj]θ1tχ,q;B2/3(0)(τ2−τ1)tθ1(1−χ)(∫Bτ2(0)[|Dvj|p+κ∑ν=1A2pν−pν,j|Dvj|2pν−p] dx)(1−θ1)tp, |
for c≡c(data0,χ,q,θ1,t). Here, we also used that Bσ(yι)⊂Bτ2(0)⊂B2/3(0) and that Rn∋ω↦[vϱ]qχ,q;ω is superadditive as a set function. All in all, using also (4.17) and (3.4) we get
‖Dvj‖Lt(Bτ1(0))≤c[vj]θ1χ,q;B2/3(0)(τ2−τ1)θ1(1−χ)[‖Dvj‖1−θ1Lp(Bτ2(0))+κ∑ν=1‖Aν,jDvj‖(2pν−p)(1−θ1)pL2pν−p(Bτ2(0))]≤c[vj]θ10,γ0;B2/3(0)(τ2−τ1)θ1(1−χ)[‖Dvj‖1−θ1Lp(Bτ2(0))+κ∑ν=1‖Aν,jDvj‖(2pν−p)(1−θ1)pL2pν−p(Bτ2(0))]≤cHj(vj,B1(0))θ1/p(τ2−τ1)θ1(1−χ)[‖Dvj‖1−θ1Lp(Bτ2(0))+κ∑ν=1‖Aν,jDvj‖(2pν−p)(1−θ1)pL2pν−p(Bτ2(0))], | (4.22) |
with c≡c(data,‖H(⋅,Dv)‖L1+δg(B2ϱ(x0)),δ0,γ0,χ,q,θ1,t). Now fix any d>maxν∈Iκ2pν−p. A straightforward computation yields the chain of implications:
χ>1−s2d−p ⟹ θ1>1−p2d ⟹ p2−d(1−θ1)>0, |
which in turn implies that we can choose a suitable lower bound on q so that
q>2d>dpθ1p−d(1−θ1) ⟹ t>d. |
This means that in (4.22) we can use the interpolation inequalities:
‖Dvj‖L2pν−p(Bτ2(0))≤‖Dvj‖1−λνLt(Bτ2(0))‖Dvj‖λνLp(Bτ2(0)), |
where it is
12pν−p=1−λνt+λνp ⟹ λν=p(t+p−2pν)(2pν−p)(t−p)and1−λν=2t(pν−p)(2pν−p)(t−p), |
for all ν∈Iκ, to have
‖Dvj‖Lt(Bτ1(0))≤c(τ2−τ1)θ1(1−χ)Hj(vj,B1(0))1/p+cHj(vj,B1(0))θ1/p(τ2−τ1)θ1(1−χ)κ∑ν=1A(2pν−p)(1−θ1)pν,j‖Dvj‖Yν/pLt(Bτ2(0))‖Dvj‖(2pν−p)(1−θ1)λνpLp(Bτ2(0)), | (4.23) |
where
Yν:=(2pν−p)(1−θ1)(1−λν). | (4.24) |
At this stage, we can fix q=4d, notice that
χ>χ1:=max{1−s2d−p,maxν∈Iκ(1−s(4d−p)8d(pν−p))} ⟹ Yν/p<1 | (4.25) |
for all ν∈Iκ. Furthermore, fixing any μ∈(0,1] and in accordance increasing further the value of χ, it is
χ2:=max{χ1,maxν∈Iκ(1−sμp(4d−p)(pν−p)(2n(4d−p)+8μpd))}<χ⟹ maxν∈Iκ(2n(pν−p)(1−θ1)p(p−Yν))<μ. | (4.26) |
From (4.25) we see that we can apply Young inequality with conjugate exponents (pYν,pp−Yν) to get
‖Dvj‖Lt(Bτ1(0))≤116‖Dvj‖Lt(Bτ2(0))+c(τ2−τ1)θ1(1−χ)Hj(vj,B1(0))1/p+κ∑ν=1cHj(vj,B1(0))pθ1+(2pν−p)(1−θ1)λνp(p−Yν)A(2pν−p)(1−θ1)p−Yνν,j(τ2−τ1)pθ1(1−χ)p−Yν, |
for c≡c(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
‖Dvj‖Lt(B1/2(0))≤cHj(vj,B1(0))1/p+cκ∑ν=1Hj(vj,B1(0))pθ1+(2pν−p)(1−θ1)λνp(p−Yν)A(2pν−p)(1−θ1)p−Yνν,j, | (4.27) |
with c≡c(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,22−p) 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)2−p2(4.15)≤c|h|δp∫B1(0)|Dvj|p dx+c|h|δp(κ∑ν=1∫B1(0)A2pν−pν,j|Dvj|2pν−p dx)p/2(∫B1(0)|Dvj|p dx)2−p2≤c|h|δp∫B1(0)|Dvj|p dx+c|h|δpκ∑ν=1∫B1(0)A2pν−pν,j|Dvj|2pν−p dx, |
with c≡c(n,p,p1,⋯,pκ,κ), which by Lemma 2.1 yields that Dvj∈Ws,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,j→Aν as j→∞, where
Aν:=(‖aν,ϱ‖2L∞(B1(0))+[aν,ϱ]20,αν;B1(0))12pν−p. | (4.28) |
Moreover, we can use (4.8), (4.9) and weak lower semicontinuity for passing to the limit in (4.27) and obtain
‖Dvϱ‖Lt(B1/2(0))≤cHϱ(vϱ,B1(0))1/p+cκ∑ν=1Hϱ(vϱ,B1(0))pθ1+(2pν−p)(1−θ1)λνp(p−Yν)A(2pν−p)(1−θ1)p−Yνν. |
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+(2pν−p)(1−θ1)λνp(p−Yν) Γν2:=(2pν−p)(1−θ1)p−YνΓν:=2(1−θ1)p−Yν, | (4.29) |
we obtain
(∫−Bϱ/2(x0)|Dv|d dx)1/d≤c(∫−Bϱ(x0)H(x,Dv) dx)1/p+cκ∑ν=1AΓν2ν(∫−Bϱ(x0)H(x,Dv) dx)Γν1, | (4.30) |
with c≡c(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(pν−p)(1−θ1)p(p−Yν)+1p(4.25)>0, |
therefore with these expansions (4.30) becomes
(∫−Bϱ/2(x0)|Dv|d dx)1/d≤c(∫−Bϱ(x0)H(x,Dv) dx)1/p+cκ∑ν=1AΓν2ν(∫−Bϱ(x0)H(x,Dv) dx)2(pν−p)(1−θ1)p(p−Yν)+1p, | (4.31) |
with c≡c(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
‖aν‖L∞(Bϱ(x0))≤4ϱαν[aν]0,αν;Bϱ(x0)+infx∈Bϱ(x0)aν(x), | (4.32) |
so (4.32) and the definition in (4.28) yield that
A2pν−pν≤4J2ϱ2αν[aν]20,αν;Bϱ(x0), | (4.33) |
which means that we can rearrange (4.31) as
(∫−Bϱ/2(x0)|Dv|d dx)1/d≤c(∫−Bϱ(x0)H(x,Dv) dx)1/p+cκ∑ν=1JΓνϱΓν(αν−n(pν−p)p)‖H(⋅,Dv)‖Γν(pν−p)pL1(Bϱ(x0))⋅(∫−Bϱ(x0)H(x,Dv) dx)1/p(1.3)≤cJΓ(∫−Bϱ(x0)H(x,Dv) dx)1/p, |
where Γ:=maxν∈IκΓν and c≡c(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
A2pν−pν≤20(‖aν‖2L∞(Bϱ(x0))+[aν]20,αν;Bϱ(x0)), |
so we can conclude via (4.26) that
(∫−Bϱ/2(x0)|Dv|d dx)1/d≤c(∫−Bϱ(x0)H(x,Dv) dx)1/p+cϱ−μκ∑ν=1‖H(⋅,Dv)‖(pν−p)ΓνpL1(Bϱ(x0))(∫−Bϱ(x0)H(x,Dv) dx)1/p≤cϱ−μ(∫−Bϱ(x0)H(x,Dv) dx)1/p, |
with c≡c(data,‖aν‖L∞(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}j∈N 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], v∈W1,p(1+δg)(Bϱ(x0)) for some δg≡δg(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 δg≡δg(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 j∈N sufficiently large and, clearly, up to relabel there is no loss of generality in assuming that (4.34) holds for all integers j≥1. Looking at vj, solution to (4.4), we see that a global higher integrability result applies by means of Lemma 3.4 with δ0≡δg, 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)Mpν−pp0for all ν∈Iκ, | (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)Mpν−pp0=ϱαν−n(pν−p)p[aν]0,αν;Bϱ(x0)(‖H(⋅,Dv)‖L1(Bϱ(x0))+1)pν−pp(1.3)≤[aν]0,αν;Bϱ(x0)(‖H(⋅,Dv)‖L1(Bϱ(x0))+1)pν−pp. | (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)1≤‖Hϱ(⋅,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))≤c‖Hj(⋅,D˜vj,ϱ)‖L1+δg(B1(0))(4.34)2≤c‖Hϱ(⋅,Dvϱ)‖L1+δg(B1(0))+c, |
for c≡c(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)Mpν−ppg for all ν∈Iκ, so scaling back we get
[aν,ϱ]0,αν;B1(0)Mpν−ppg=ϱαν−n(pν−p)p(1+δg)[aν]0,αν;Bϱ(x0)(‖H(⋅,Dv)‖L1+δg(Bϱ(x0))+1)pν−pp(1.3)≤[aν]0,αν;Bϱ(x0)(‖H(⋅,Dv)‖L1+δg(Bϱ(x0))+1)pν−pp, |
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)‖vj‖pν−pL∞(B5/6(0)) for all ν∈Iκif p(1+σg)≤n [aν,ϱ]0,αν;B1(0)[vj]pν−p0,λg;B5/6(0) for all ν∈Iκif p(1+σg)>n, | (4.39) |
where σg≡σg(data,‖H(⋅,Dv)‖L1(B2ϱ(x0))) is the higher integrability threshold given by Lemma 3.4, λg:=1−np(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
‖vj‖pL∞(B5/6(0))≤c∫−B1(0)Hj(x,vj) dx≤c∫−B1(0)Hj(x,Dvj−D˜vj,ϱ) dx+c∫−B1(0)Hj(x,˜vj,ϱ) dx≤c∫−B1(0)Hj(x,D˜vj,ϱ) dx(4.3),(4.34)1≤c(‖Hϱ(⋅,Dvϱ)‖L1(B1(0))+1) |
where c≡c(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)‖vj‖pν−pL∞(B5/6(0))≤c[aν,ϱ]0,αν;B1(0)(‖Hϱ(⋅,Dvϱ)‖L1(B1(0))+1)pν−pp=cϱαν−n(pν−p)p[aν]0,αν;Bϱ(x0)(‖H(⋅,Dv)‖L1(Bϱ(x0))+1)pν−pp(1.3)≤c(‖H(⋅,Dv)‖L1(Bϱ(x0))+1)pν−pp, | (4.40) |
for c≡c(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)≤c‖vj‖W1,p(1+σg)(B5/6(0))≤c‖Dvj‖Lp(1+σg)(B5/6(0))+c‖D˜vj,ϱ‖Lp(1+σg)(B5/6(0))+c‖˜vj,ϱ‖Lp(1+σg)(B5/6(0))≤c‖Hj(⋅,D˜vj,ϱ)‖1/pL1+σg(B1(0))(4.34)2≤c(‖Hϱ(⋅,Dvϱ)‖L1+δg(B1(0))+1)1/p |
for c≡c(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), 0≤a(⋅)∈L∞(Ω) and (1.1)2, (1.8) be in force. A function u∈W1,1loc(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 B⋐Ω and all w∈W1,10(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 0≤aν(⋅)∈L∞(Ω) for all ν∈Iκ 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 δγ≡δγ(data,Λ,‖H(⋅,Du)‖L1(˜Ω0))<γ−1 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+δ≤c∫−Bϱ(x0)H(x,Du) dx+c(∫−Bϱ(x0)H(x,F)1+δ dx)11+δ | (5.2) |
for all δ∈(0,δγ] with c≡c(data,Λ,‖H(⋅,Du)‖L1(Bϱ(x0)),γ).
Step 2 - Exit time and covering of level sets
Let Ω0⋐˜Ω0⋐Ω be three open set as in the statement of Theorem 2 and Br⋐Ω0 be a ball with radius r≤r∗, 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 Br⋐Ω0.
Step 3 - Comparison, first time
We construct a first comparison problem. Precisely, we let vι∈u+W1,p0(4Bι) be the solution of Dirichlet problem
u+W1,p0(4Bι)∋w↦minH(w,4Bι), | (5.4) |
whose existence and uniqueness is guaranteed by standard direct methods. By minimality, vι satisfied the integral identity
0=∫−4Bι⟨∂H(x,Dvι),Dφ⟩ dx, | (5.5) |
for all φ∈W1,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) dx≤∫−4BιH(x,Du) dx ∫−4BιH(x,Dvι)1+σg dx≤c∫−4BιH(x,Du)1+σg dx, | (5.6) |
for c,σg≡c,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 vι∈C1,β0loc(4Bι) for some β0≡β0(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 u−vι≡0 in Ω∖4Bι 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) dx≤cε∫−4BιH(x,Du) dx+cε∫−4BιH(x,F) dx, | (5.7) |
for c≡c(n,Λ,p,p1,⋯,pκ,κ) and c≡c(n,Λ,p,p1,⋯,pκ,κ,ε).
Step 4 - Comparison, second time
We define
a+ι,ν:=supx∈¯2Bιaν(x)for all ν∈Iκ | (5.8) |
and notice that Theorem 4 yields that vι∈W1,∞(2Bι), therefore setting
Rn∋z↦H+(z):=|z|p+κ∑ν=1a+ι,ν|z|pν, |
it trivially holds that H+(Dvι)∈L1(2Bι). This means that we can consider the solution wι∈vι+W1,p(2Bι) of the second Dirichlet problem
vι+W1,p0(2Bι)∋w↦min∫2BιH+(Dw) dx. | (5.9) |
By minimality, wι satisfies
{ ∫−2Bι⟨∂H+(Dwι),Dφ⟩ dx=0 ∫−2BιH+(Dwι) dx≤∫−2BιH+(Dvι) dx, | (5.10) |
and in particular (5.10)1 holds for all φ∈W1,p0(2Bι) so that H+(Dφ)∈L1(2Bι). After extending vι−wι≡0 in Ω0∖2Bι, we see that the function vι−wι is admissible in both (5.5)–(5.10)1 so standard monotonicity arguments yield
∫−2BιV0(Dvι,Dwι;2Bι) dx≤c∫−2Bι⟨∂H+(Dvι)−∂H+(Dwι),Dvι−Dwι⟩ dx(5.5),(5.10)1=c∫−2Bι⟨∂H+(Dvι)−∂H(x,Dvι),Dvι−Dwι⟩ dx≤cκ∑ν=1∫−2Bι|a+ι,ν−aν(x)||Dvι|pν−1|Dvι−Dwι| dx≤cκ∑ν=1(osc2Bιaν)∫−2Bι|Dvι|pν−1|Dvι−Dwι| dx=:cκ∑ν=1(I)ν, | (5.11) |
for c≡c(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:
● cnd≡cnd(n,Λ,p,p1,⋯,pκ,κ);
● cm≡cm(datacz);
● cd≡cd(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 J≥4 that will eventually be fixed as a function of (n,Λ,p,p1,⋯,pκ,κ). In this setting, it is
osc2Bιaν≤4ϱανι[aν]0,αν;2Bι≤4aν(x)Jfor all ν∈Iκ. | (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) dx≤∫−2BιH+(Dwι) dx≤∫−2BιH+(Dvι) dx≤∫−2BιH(x,Dvι) dx+κ∑ν=1(osc2Bιaν)∫−2Bι|Dvι|pν dx(5.12)≤c∫−2BιH(x,Dvι) dx≤c∫−4BιH(x,Du) dx, | (5.13) |
for c≡c(n,κ), so we may estimate via Hölder inequality with conjugate exponents (pν,pνpν−1),
(I)ν(5.12)≤cndJ∫−2Bιaν(x)|Dvι|pν−1|Dvι−Dwι| dx≤cndJ(∫−2Bιaν(x)|Dvι|pν dx)pν−1pν(∫−2Bιaν(x)[|Dvι|pν+|Dwι|pν] dx)1/pν(5.13)≤cndJ∫−4BιH(x,Du) dx, |
for c≡c(n,p,pν,κ). Summing the content of the above display over ν∈Iκ we obtain
κ∑ν=1(I)ν≤cndJ∫−4BιH(x,Du) dx. | (5.14) |
Step 8 - Estimates in the mixed phase
Now we assume that mixJ(2Bι) holds with J≥4 still to be fixed, pick any
μ∈(0,minν∈Iκ1pν(αν−n(pν−p)p(1+δγ)))(1.3)≠{∅} (5.3)⟹ μ≡μ(data,‖H(⋅,Du)‖L1(˜Ω0)), | (5.15) |
where δγ is the higher integrability exponent determined in Step 1 and set
σ0:=minν∈Iκ(αν−μpν−n(pν−p)p(1+δγ))(1.3),(5.15)>0. |
Keeping in mind that
osc2Bιaν≤2a+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)ν≤cϱανι∫−2Bι|Dvι|pν dx+(osc2Bιaν)|2Bι|−1∫2Bι∩{|Dwι|≥J|Dvι|}|Dvι|pν−1|Dwι| dx+(osc2Bιaν)|2Bι|−1∫2Bι∩{|Dwι|<J|Dvι|}|Dvι|pν−1|Dwι| dx(5.16)≤c(1+J)ϱανι∫−2Bι|Dvι|pν dx+cJp−1∫−2Bιa+ι,ν|Dwι|pν dx(5.10)2≤c(1+J)ϱανι∫−2Bι|Dvι|pν dx+cJp−1∫−2BιH+(Dvι) dx(5.6)1≤cJϱανι∫−2Bι|Dvι|pν dx+cJp−1κ∑m=1ϱαmι∫−2Bι|Dvι|pm dx+cndJp−1∫−4BιH(x,Du) dx(1.5)≤cmJϱαν−pνμι(∫−4BιH(x,Dvι)1+σg dx)pν−pp(1+σg)∫−4BιH(x,Du) dx+cJp−1κ∑m=1ϱαm−μpmι(∫−4BιH(x,Dvι)1+σg dx)pm−pp(1+σg)∫−4BιH(x,Du) dx+cndJp−1∫−4BιH(x,Du) dx(5.3),(5.6)≤cmJϱσ0ι‖H(⋅,Du)‖pν−ppL1+δγ(4Bι)∫−4BιH(x,Du) dx+cndJp−1∫−4BιH(x,Du) dx+cmϱσ0ιJp−1(∫−4BιH(x,Du) dx)κ∑m=1‖H(⋅,Du)‖pm−ppL1+δγ(4Bι)≤(cmJϱσ0ι+cndJp−1)∫−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 ν∈Iκ we get
κ∑ν=1(I)ν≤(cmJϱσ0ι+cndJp−1)∫−4BιH(x,Du) dx. | (5.17) |
Step 9 - Estimates in the degenerate phase
Finally, we look at the case deg(2Bι). We set
τ0:=minν∈Iκ(αν−n(pν−p)p(1+δγ))(1.3)>0 (5.3)⟹ τ0≡τ0(data,‖H(⋅,Du)‖L1(˜Ω0)) |
and as done in Step 8 we estimate
(I)ν≤cϱανι∫−2Bι|Dvι|pν dx+c|2Bι|−1(osc2Bιaν)∫2Bι∩{|Dwι|≥J|Dvι|}|Dvι|pν−1|Dwι| dx+c|2Bι|−1(osc2Bιaν)∫2Bι∩{|Dwι|<J|Dvι|}|Dvι|pν−1|Dwι| dx(5.16)≤c(1+J)ϱανι∫−2Bι|Dvι|pν dx+cJp−1∫−2Bιa+ι,ν|Dwι|pν dx(5.10)2≤cJϱανι∫−2Bι|Dvι|pν dx+cJp−1κ∑m=1ϱαmι∫−2Bι|Dvι|pm dx+cJp−1∫−2BιH(x,Dvι) dx(1.4),(5.6)1≤cdJˉpΓ+1ϱανι(∫−4BιH(x,Dvι)1+σg dx)pν−pp(1+σg)∫−4BιH(x,Dvι) dx+cdJˉpΓ−p+1κ∑m=1ϱαmι(∫−4BιH(x,Dvι)1+σg dx)pm−pp(1+σg)∫−4BιH(x,Dvι) dx+cndJp−1∫−4BιH(x,Du) dx(5.3),(5.6)≤cdJ2ˉpΓϱτ0ι‖H(⋅,Du)‖pν−ppL1+δγ(4Bι)∫−4BιH(x,Du) dx+cndJp−1∫−4BιH(x,Du) dx+cdJ2ˉpΓϱτ0ι(∫−4BιH(x,Du) dx)κ∑m=1‖H(⋅,Du)‖pm−ppL1+δγ(4Bι)≤(cdJ2ˉpΓϱτ0ι+cndJp−1)∫−4BιH(x,Du) dx. |
Summing the content of the previous display over ν∈Iκ we obtain
κ∑ν=1(I)ν≤(cdJ2ˉpΓϱτ0ι+cndJp−1)∫−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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