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Research article Special Issues

Gradient estimates for the double phase problems in the whole space

  • This paper presents Calderón-Zygmund estimates for the weak solutions of a class of nonuniformly elliptic equations in Rn, which are obtained through the use of the iteration-covering method. More precisely, a global Calderón-Zygmund type result

    |f|p1+a(x)|f|p2Ls(Rn)|Du|p1+a(x)|Du|p2Ls(Rn)foranys>1

    is established for the weak solutions of

    divA(x,Du)=divF(x,f)inRn,

    which are modeled on

    div(|Du|p12Du+a(x)|Du|p22Du)=div(|f|p12f+a(x)|f|p22f),

    where 0a()C0,α(Rn),α(0,1] and 1<p1<p2<p1+αp1n.

    Citation: Bei-Lei Zhang, Bin Ge. Gradient estimates for the double phase problems in the whole space[J]. Electronic Research Archive, 2023, 31(12): 7349-7364. doi: 10.3934/era.2023372

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  • This paper presents Calderón-Zygmund estimates for the weak solutions of a class of nonuniformly elliptic equations in Rn, which are obtained through the use of the iteration-covering method. More precisely, a global Calderón-Zygmund type result

    |f|p1+a(x)|f|p2Ls(Rn)|Du|p1+a(x)|Du|p2Ls(Rn)foranys>1

    is established for the weak solutions of

    divA(x,Du)=divF(x,f)inRn,

    which are modeled on

    div(|Du|p12Du+a(x)|Du|p22Du)=div(|f|p12f+a(x)|f|p22f),

    where 0a()C0,α(Rn),α(0,1] and 1<p1<p2<p1+αp1n.



    The main goal of this article is to derive the Calderón-Zygmund estimates for solutions to non-uniformly elliptic equations

    divA(x,Du)=divF(x,f)inRn, (1.1)

    where f:RnRn is given. Let A:Rn×RnRn be a continuous vector field that is C1(Rn{0})-regular in hRn and satisfies that

    {|A(x,h)|+|DhA(x,h)||h|L(|h|p11+a(x)|h|p21),l(|h|p12+a(x)|h|p22)|ξ|2DhA(x,h)ξ,ξ,|A(x1,h)A(x2,h)|L|a(x1)a(x2)||h|p21, (1.2)

    for any x,x1,x2Rn,hRn{0} and ξRn. Here, l and L denote fixed constants with 0<l1L. The symbol Dh stands for the partial differentiation in h and , stands for the standard inner product. The function a():Rn[0,) meets the following condition:

    0a()C0,α(Rn),α(0,1]. (1.3)

    The numbers p1,p2 satisfy

    1<p1<p2, (1.4)

    along with

    p2p1<1+αn. (1.5)

    To the right of Eq (1.1), the vector field F:Rn×RnRn is assumed to be continuous in h and measurable in x. In addition, F satisfies

    |F(x,h)|L(|h|p11+a(x)|h|p21). (1.6)

    Equation (1.1) is modeled on the following Euler-Lagrange equation

    div(p1|Du|p12Du+a(x)p2|Du|p22Du)=div(|f|p12f+a(x)|f|p22f),

    for the functional

    uRn(|Du|p1+a(x)|Du|p2)dxRn|f|p12f+a(x)|f|p22f,Dudx.

    Let

    P(u,U):=U(|Du|p1+a(x)|Du|p2)dx

    be the double phase functional, whenever uW1,1(U), URn is open, n2. Zhikov[1] was the first to propose and investigate the functional P. When studying the characterization of materials exhibiting strong anisotropy, Zhikov discovered that their hardening properties drastically change by the point; for example refer to [2]. According to Marcellini's terminology in [3], the functional P is one of the functionals, which are defined by integrals with nonstandard growth conditions. In the functional P, the coefficient function a() serves as an auxiliary tool to control the mixing between two distinct materials, which exhibits power hardening behaviors with rates p1 and p2. If a(x)>0, the composite includes the p2-material as one of its constituents, while the p1-material is the sole constituent when a(x)=0. The functional P also provides a new instance of the Lavrentiev phenomenon in action, see [4]. To find out more properties of the functional P and its current research status, readers can review [5,6,7] and the references contained within.

    An interesting topic is the Calderón-Zygmund type estimates (Lp estimates) of the double phase equations in the whole space Rn. The primary objective of Lp estimates is to derive the Lp bounds of various operators and solutions to equations in Sobolev spaces, which have been demonstrated to be a tool in numerous areas of partial differential equations and harmonic analysis.

    Iwaniec[8] is credited with initiating the study of the nonlinear Calderón-Zygmund theory. One of his groundbreaking contributions is the proof of the inequality

    upcfp,

    for fL2(Rn)Lp(Rn) with 1<p<. This inequality gives estimates of solutions to the equation

    div(u)=divf.

    In addition to this, Iwaniec also proved a local regularity result for weak solutions of

    div(|u|p2u)=div(|f|p2f),

    in the subdomain Ω of Rn. Specifically, he showed that for every s>1 there is

    |f|pLsloc|u|pLsloc.

    DiBenedetto and Manfredi[9] generalized Iwaniec's results to the case of vector-valued functions in the context of the p-laplace system. They have made important contributions to the development of this theory. DiBenedetto and Manfredi [9] also proved the following global Lp estimate

    Rn|u|pqdxCRn|f|pqdx, (1.7)

    for weak solutions of

    div(|u|p2u)=div(|f|p2f)inRn, (1.8)

    where 1<pq.

    Yao[10] extended it to the subsequent quasilinear equations

    div(g(|u|)u)=div(g(|f|)f)inRn, (1.9)

    where the function g:(0,)(0,)C1(0,) satisfies

    0inft>0tg(t)g(t)supt>0tg(t)g(t)<, (1.10)

    and the following conclusion is given by defining B(t)=t0τg(τ)dτ,

    Rn[B(|u|)]qdxCRn[B(|f|)]qdx. (1.11)

    In particular, if g(t)=tp2 for p2, then Eq (1.9) degenerates into Eq (1.8), where B(t)=tp. In this case, the corresponding conclusion (1.11) also becomes (1.7). In addition, regularity studies of solutions to other related equations in Rn can also be seen in [11,12,13].

    As yet, there have been no studies of Calderón-Zygmund estimates for the double phase problems in Rn. But, there are many results about the regularity of related double phase operators and equations in bounded domains in Rn, where n2. Throughout the rest of this article, ΩRn is used to denote the bounded open set. It is worth noting that Colombo and Mingione[5] proved that (|f|p1+a(x)|f|p2)Lsloc(Ω) which implies (|Du|p1+a(x)|Du|p2)Lsloc(Ω) for weak solutions of (1.1) in Ω. This has greatly contributed to the development of regularity estimates for the double phase problems. Additionally, there exists a plethora of relevant literature about the regularity theory of the double phase problems, for example [14,15,16,17,18,19].

    Inspired by the above papers, the Calderón-Zygmund estimates of double phase equations in Rn are established in this paper by using a method similar to that in [10]. But in this article, the introduction of the weight function a(x) in the double phase problems prevents the direct application of Lemma 2.4 in [10] when estimating the function. In this case, the frozen function equation needs to be introduced, and the inverse Hölder inequality needs to be used in the comparison estimates. However, the prerequisite for the inverse Hölder inequality to be used is that it is discussed in the sphere BR, R1, which leads to the fact that in this paper we need to discuss the region of integration during the final integration.

    It should be indicated that the optimal bound (1.5) is inevitable for the regularity under consideration here, see [20]. The fulfillment of condition (1.5) is critical in ensuring the stability of all the constants involved and ultimately maintaining the smallness of certain essential positive quantities.

    The following notation is used in this article to simplify the description,

    G(x,h):=|h|p1+a(x)|h|p2, (1.12)

    where xRn and hRn.

    Denote

    DD(n,p1,p2,l,L,α,[a]0,α,G(,Du)L1(Rn),G(,f)L1(Rn)),

    to shorten the notation. Then the primary result of this paper is as follows.

    Theorem 1.1. If u is the weak solution to problem (1.1) subject to the assumptions (1.2)–(1.6), and provided that G(x,Du) and G(x,f) belong to L1(Rn), then for every s>1, the following result holds:

    G(x,f)Ls(Rn)G(x,Du)Ls(Rn). (1.13)

    Moreover, for every s>1, there exists CC(D,s) such that

    Rn[G(x,Du)]sdxCRn[G(x,f)]sdx+C. (1.14)

    Remark 1.2. The difference between the conclusion presented in (1.14) of Theorem 1.1 and the conclusion presented in (1.11) from [10] lies in the presence of an additional constant C on the right side of (1.14). It is also interesting to obtain a result without the constant term. So, our subsequent research will be devoted to obtaining a result of the same form as (1.11). Specifically, our goal is to verify whether the following inequality holds:

    Rn[G(x,Du)]sdxCRn[G(x,f)]sdx.

    Theorem 1.1 can be proved by the technique developed in [21,22], which involves a new iteration-covering method introduced by Acerbi and Mingione. This approach utilizes an exit time argument and Vitali's covering lemma, instead of the Calderón-Zygmund decomposition and maximal functions, and has now become widely adopted in Lp-type regularity theory. Additionally, the applications of Calderón-Zygmund theory can be found in [23,24].

    The structure of this paper is arranged as follows. The subsequent section presents preliminary definitions and lemmas that are necessary for the discussion that follows. In the final section, several significant lemmas are presented, and the main conclusions are proved.

    In this paper, the notation c stands for a general constant and c1, which differs depending on the line. Similar notations will be used to denote special occurrences as ¯c,˜c,c1 and C. Furthermore, parentheses will be employed to emphasize the relevant dependence on parameters. For example, cc(D) signifies that c depends on D. The set Br(x0) is defined as {xRn:|xx0|<r}. Additionally, it is stated that B1=B1(0) unless otherwise specified. Moreover, for functions g1 and g2 on Rn, when g1g2 appears in this paper, it implies that there exist constants m,m0>0 making mg1g2m0g1 hold.

    Given a function b:RnR and a subset BRn, where α(0,1] is a given number, the notation is defined as follows:

    [b]0,α;B:=supx,yB,xy|b(x)b(y)||xy|α,[b]0,α[b]0,α;Rn.

    Furthermore, for a measurable set QRn with 0<|Q|<, and a locally integrable map d:QRk where k1, the integral average is represented as:

    (d)QQd(x)dx:=1|Q|Qd(x)dx.

    The following presents the definition of a weak solution and several lemmas that are required for subsequent use in this paper.

    Definition 2.1. A function uW1,1(Rn) is defined as a weak solution of problem (1.1) with G(x,Du),G(x,f)L1(Rn), if the following identity

    RnA(x,Du)Dφdx=RnF(x,f)Dφdx

    holds for all φW1,10(Rn).

    A result similar to Theorem 3.1 in [5] is given below, which also holds when the region under study changes from a bounded domain to Rn.

    Lemma 2.2. If conditions (1.2)–(1.5) hold, the function z0W1,1(˜B) satisfies G(x,Dz0)L1(˜B), where ˜BRn is open, then there exists a unique solution zz0+W1,p10(B) for the following Dirichlet problem

    {divA(x,Dz)=0inB,zz0+W1,p10(B),

    such that G(x,Dz)L1(B), where B˜BRn. Moreover, it follows that

    DzLnp1n2α1loc(B)Wmin{2α1p1,α1},p1loc(B),foreveryα1<α,

    and

    BG(x,Dz)dxcBG(x,Dz0)dx,

    where cc(n,p1,p2,l,L). In particular, it can be inferred that

    DzL2p2p1loc(B)Lp2loc(B).

    Proof. The main proof process can be found in the proof of Theorem 3.1 in [5]. It should be noted that the first step in its proof still holds when the region changes from a bounded domain Ω to Rn. This is because the first conclusion of Theorem 4.1 in [6] is still valid when the region is Rn.

    The specific reason is that remark 4 of [6] still allows us to take z0W1,p1(Rn) with the property that G(x,Dz0)L1(˜B) and find a sequence {˜zk}C(B) which satisfies the property that ˜zkz0 strongly in W1,p1(B) and

    BG(x,D˜zk)dxBG(x,Dz0)dx.

    Since the rest of the discussion is in B, the conclusion is valid in Rn.

    Once DzL2p2p1loc(B) is established, the conditional reverse Hölder type inequality can be derived.

    Lemma 2.3. ([5], Theorem 4.1) Consider zW1,p1(B), which is a solution to

    divA(x,Dz)=0inB,

    under the assumptions (1.2)–(1.5) and G(x,Dz)L1(B). In addition, assume

    maxx¯Bra(x)M1[a]0,αrα,

    where BrBRn, r1, and M11. Then, for all q less than np1/(n2α), if α=1 and n=2, then q=, and there exists a constant cc(D,M1,q) such that the following inequality holds:

    (Br/2|Du|qdx)1/qc(Br|Du|p1dx)1/p1,

    and the constant c increases monotonically with respect to Dh1Lp1(Br).

    Since Lemma 2.3 needs to be used in the proof process, R1 is selected first and will be determined later. Next, set

    λ0:=20n|B1|RnRn[G(x,Du)+1δG(x,f)]dx. (3.1)

    Take into account the sets

    E(Du,λ):={xRn:G(x,Du(x))>λ},=λ>0,

    and define a function Φ for any fixed point x0E(Du,λ) such that

    Φ(Bρ(x0)):=Bρ(x0)[G(x,Du)+1δG(x,f)]dx, (3.2)

    where Bρ(x0)Rn and 0<δ<1 are to be determined later. It should be noted that Φ is monotonically decreasing with respect to ρ.

    For the subsequent proof, the following iteration-covering lemma will be given, which is a pure PDE method and draws significant inspiration from [21].

    Lemma 3.1. For any λ>λ0, there is a collection of disjoint balls {Bρi(xi)}i satisfying and such that

    (3.3)

    and

    (3.4)

    Moreover,

    (3.5)

    Proof. For almost every , the Lebesgue differentiation theorem implies that

    (3.6)

    However, for any and , it can be shown that

    (3.7)

    Since is monotonic, it follows from and that for almost every , there is a radius such that

    Then, the family covers up to a negligible set. By Vitali's covering lemma, there is a countable collection of mutually disjoint balls , where and such that

    and

    That is, (3.3) and (3.4) have been confirmed.

    Next, it follows from (3.2) and that

    (3.8)

    Obviously, by decomposing the integral region in (3.8), it is clear that the following equality holds:

    Clearly, (3.5) holds.

    The comparison estimates, which are similar to those obtained in [5], will be discussed in the family of countable balls obtained in Lemma 3.1. The proof in [5] will also be modified in this paper to obtain suitable results.

    Before proceeding, two related problems need to be introduced. For every ball that is considered in (3.3), Lemma 2.2 states that can be established as the solution to

    (3.9)

    It follows that

    (3.10)

    and

    (3.11)

    where . Furthermore, a comparison estimate can be obtained as presented below.

    Lemma 3.2. For any , if is the weak solution of (1.1) in , then the inequality

    (3.12)

    holds for every .

    Proof. For the convenience of subsequent proof, here we show that for arbitrary , and , there is

    (3.13)

    Specifically distinguished into three cases to discuss.

    Case 1: . The definition of in (1.12) and the triangle inequality leads directly to the following estimate:

    (3.14)

    Since , (3.13) holds.

    Case 2: . For and any , using Young's inequality with gives that

    And since for , the inequality

    (3.15)

    holds for arbitrary , it can be further deduced that

    (3.16)

    Combining (3.16) with the fact that , then there is

    Thus it can be seen that

    Case 3: . Merging the two aforementioned situations leads to the conclusion that

    Thus, (3.13) is proved.

    Here, make , and in (3.13), and combined with (3.11), it is concluded that

    (3.17)

    where . For the first term on the right-hand side of (3.17), it is clear from (with ) and (3.2) that

    (3.18)

    For the second term on the right-hand side of (3.17), it is known from that for all and a.e., , there is

    (3.19)

    where , . Then, using Lemma 19 in [25] to get that

    (3.20)

    where . Multiplying both sides of inequality (3.20) by simultaneously gives that

    (3.21)

    where . Combining (3.19) and (3.21), and substituting and , we obtain that

    (3.22)

    where . Next we estimate the term to the right of (3.22). First, since is a solution to problem (3.9), using the test function we have that

    Naturally, we have

    (3.23)

    Then, combining (3.22) with (3.23) and (1.6), and utilizing Young's inequality with taken from the interval , we get that

    Recalling (3.11), (with ) and (3.2) yields that

    It can be inferred that

    (3.24)

    by taking , . Finally, from (3.24), (3.17) and (3.18), it shows that

    by selecting , .

    In the context of the above problem, considering a point such that

    It is known from Lemma 2.2 that can be established as the solution to

    and

    where . Then, comparison estimates are made in two cases, as shown below:

    (3.25)
    (3.26)

    for a constant that will be determined based on . (3.25) and (3.26) are respectively called -phase and -phase. In the case of (3.26), the calculation of the comparison estimate requires the use of Lemma 2.3, which is established because of (3.10). Finally, the following two inequalities are obtained through calculation,

    (3.27)

    where , and , and

    (3.28)

    where . For specific calculation of comparison estimates, please refer to steps 5–9 in the proof of Theorem 1.1 in [5].

    Next we give a few important lemmas to be used in this paper.

    Lemma 3.3. For any , the following inequality

    (3.29)

    holds for every .

    Proof. It can be known from (3.27) that the inequality

    (3.30)

    holds for any by taking , . Combining (3.30) with (3.13) and setting , , , , , then, using the definition of , we have

    Recalling again (3.11), (3.28), (3.18) and (3.27), we end up with that

    By selecting and , it can be shown that (3.29) holds true.

    Combining Lemma 3.2 with Lemma 3.3, the following final comparison estimate can be obtained.

    Lemma 3.4. If is the weak solution of (1.1) in , then for each there is

    (3.31)

    Proof. It can be seen from (3.15) that for any , the following inequality is valid:

    (3.32)

    where . From (3.12) and (3.29), it can be seen that

    where . The final result (3.31) is obtained by selecting .

    Lemma 3.5. For any , there exists such that

    (3.33)

    Proof. It is straightforward to use (3.28) in combination with (3.18) to get (3.33).

    Based on the above estimated results and (3.32), for any , it can be deduced as follows:

    Hence, it can be inferred from (3.5) that

    (3.34)

    Referring to (3.3) again, we know that the balls in are disjoint and

    for any . Then, by summing up (3.34) over , we have

    (3.35)

    The proof of Theorem 1.1 is given below.

    Proof of Theorem 1.1. We first give two important equations to be used subsequently.

    Elementary measure theory yields the following equations,

    (3.36)

    which is Theorem 1.9 in [26], and

    (3.37)

    which can be seen in [10]. By (3.36), the following calculation can be performed:

    Then, we can obtain that

    (3.38)

    where depends on . The definition of in (3.1) is used in the calculation, from which we can obtain that

    where is selected earlier in Lemma 3.3.

    For the estimate of , obviously through (3.35) and (3.37), there is

    (3.39)

    where and . Combining (3.38) with (3.39), we get that

    Eventually, selecting suitable such that , this yields

    where depends on , and then (1.13) holds. In summary, Theorem 1.1 is substantiated.

    The authors declare they have not used Artificial Intelligence (AI) tools in the creation of this article.

    This study was funded by the Natural Science Foundation of Heilongjiang Province of China (No. LH2023A007), the Fundamental Research Funds for the Central Universities (No. 3072022TS2402), the Postdoctoral research startup foundation of Heilongjiang (No. LBH-Q14044) and the Science Research Funds for Overseas Returned Chinese Scholars of Heilongjiang Province (No. LC201502).

    The authors declare there is no conflict of interest.



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