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Research article

A remark on the velocity averaging lemma of the transport equation with general case

  • Received: 18 October 2023 Revised: 08 January 2024 Accepted: 25 January 2024 Published: 01 February 2024
  • In this paper, we proved a new result for the celebrated velocity averaging lemma of the free transport equation with general case

    tf+a(v)xf=0.

    After averaging with some weight functions φ(v), we proved that the average quantity ρφ(t,x)=R3vf(t,x,v)φ(v)dv is in W1,px, p[1,+]. This result revealed the regularizing effect for the mean value with respect to the velocity of the solution. Our strategy was taking advantage of a modified vector field method to build up a bridge between the x-derivative and v-derivative. One significant point was that we first observed that the operator tx+([va(v)]T)1v commuted with t+a(v)x.

    Citation: Ming-Jiea Lyu, Baoyan Sun. A remark on the velocity averaging lemma of the transport equation with general case[J]. Networks and Heterogeneous Media, 2024, 19(1): 157-168. doi: 10.3934/nhm.2024007

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  • In this paper, we proved a new result for the celebrated velocity averaging lemma of the free transport equation with general case

    tf+a(v)xf=0.

    After averaging with some weight functions φ(v), we proved that the average quantity ρφ(t,x)=R3vf(t,x,v)φ(v)dv is in W1,px, p[1,+]. This result revealed the regularizing effect for the mean value with respect to the velocity of the solution. Our strategy was taking advantage of a modified vector field method to build up a bridge between the x-derivative and v-derivative. One significant point was that we first observed that the operator tx+([va(v)]T)1v commuted with t+a(v)x.



    Our goal of this paper is to consider the velocity averaging lemma of the following transport equation with general case a(v):

    tf+a(v)xf=0,(t,x,v)R+×Ωx×R3v, (1.1)
    f(0,x,v)=fin(x,v)0,(x,v)Ωx×R3v, (1.2)

    where the function f=f(t,x,v)0 describes the gas density distribution of particles at time tR+, position x=(x1,x2,x3)Ωx and the microscopic velocity v=(v1,v2,v3)R3v. Here the spatial domain Ωx is either the whole space R3x or the three-dimensional torus T3x. The vector-valued function a(v)=(a1(v),a2(v),a3(v)):R3vR3v with ai(v)C2(R3v) (i=1,2,3) and det(va(v))0, where det(va(v)) is the determinant of the matrix va(v).

    For the later presentation, we need to give the following notations. Let m(v)>0 be some given positive weight function on R3v. For the velocity variable v, we denote

    fLqv(m(v))=(R3v|f|qm(v)qdv)1q,q[1,+),

    and

    fLv(m(v))=supvR3v|f(v)|m(v).

    Next, let's consider the notations involving the space variable x. The higher-order Sobolev space Wσ,px for σN (N means the set of natural numbers) is defined by

    fWσ,px:=|α|σαxfLpx.

    Let C0(R3v) be the space of infinitely differentiable functions with compact support.

    Finally, we denote LqvLpx(m(v)) with exponent p,q[1,+], through the norms

    fLqvLpx(m(v)):=fLpxm(v)Lqv.

    Now, we state the main result on the velocity averaging lemma of the free transport problem (1.1) and (1.2).

    Theorem 1.1. Consider fL1([0,T];L1vLpx(m(v))) and vfinL1vLpx(m(v)) with p[1,+] such that the solution f satisfies the problem (1.1) and (1.2) in the weak sense. For any fixed weight fuction φ(v)C0(R3v), let us define the average quantity with φ(v) as

    ρφ(t,x):=R3vf(t,x,v)φ(v)dv,

    then ρφ satisfies:

    ρφW1,px(1+33t)φW1,v(finL1vLpx(m(v))+vfinL1vLpx(m(v))),

    where the function m(v)>0 is defined in Eq (2.8) below.

    Remark 1.1.

    (1) This theorem extends the result of the velocity averaging lemma for the free transport equation in [21] (see Lemma 4.17 for the non-relativistic case, that is, a(v)=v) to a more general case. Furthermore, ρφW1,px holds for whole space (see Theorem 2 in [25] for locally space with general a(v) and a singular source term (Δv)α2g), but in this paper, we need assume some extra regularity in v of the initial data fin.

    (2) If a(v)=ˆv=v1+|v|2, this is the relativistic free transport equation. For this case, we can choose m(v)=(1+|v|2)32 in Theorem 1.1; see also [35], which includes a detailed argument.

    (3) If a(v)=v|v|, this is the massless relativistic free transport equation [17]. Because det(vv|v|)=0, our approach cannot be adapted to this case.

    (4) Indeed, to avoid a lengthy discussion, we can extend our results to higher space dimension without essential difficulty.

    The celebrated velocity averaging lemmas concern the regularity results of solutions to the kinetic transport equation developed in [16,18,20,33,38], which reveal that the combination of transport operator and averaging in velocity variable v of the solution yields regularity with respect to the space variable x. Such results are an interesting and powerful mathematical tool in kinetic theory that have been extensively used to obtain regularity, global weak solutions, spectral analysis, and hydrodynamic limits of the kinetic equations. It is worth mentioning that another major application consists in showing the regularizing effect of solutions wherever the kinetic formulations exist, such as the isentropic gas dynamics, the Ginzburg-Landau model, and scalar conservation laws [15,19,24,26,31,36]. There are several types of proof provided, such as the Fourier transform, the Hörmander's commutators, the commutator method, the Harmonic analysis, the energy method, the real space method, and so on. For more on this topic, the reader may consult [1,2,3,4,13,14,25,28,29] for detailed discussion. There have been several variants, extensions and generalizations of velocity averaging lemmas made available, such as the kinetic transport equation with a force term, time discrete kinetic equations and stochastic case, and the phenomena of dispersion and hypoellipticity. We refer to [5,6,7,8,9,10,12,22,27,37] and the references therein.

    Now, we mention some literature that is relatively closer to our discussion. The velocity average lemma of the nonrelativistic transport equation has been investigated in the L2 framework. If one considers the solutions fL2 of the initial-value problem:

    tf+vxf=0,

    with suitable initial data fin, then ρφH12x for any φ(v)C0(R3v). Here, H12x=W12,2x denotes the usual fractional order Sobolev space defined by the Fourier transform. We note that there is no regularity assumption on fin. See also DiPerna, Lions and Meyer [16] for general Lp, 1<p<+ by applying the interpolation method. In [21], Gualdani, Mischler and Mouhot proved that ρφW1,px, p[1,+]. They obtained that a full derivative in the x variable is stronger than the previous half-derivative, but they assumed some additional regularity in v of the initial data fin.

    Compared with the non-relativistic case, the version of the relativistic transport equation has a relatively short history. In 2004, Rein [34] proved the global weak solution of the relativistic Vlasov-Maxwell system by the velocity averaging. Huang and Jiang [23] investigated the average regularity of the solution to the relativistic transport equation by adopting the same method in [18]. The analogous result as in [21] also holds for the relativistic free transport equation in [35]. Moreover, the authors also showed the quantitative effects of the particle mass and the speed of light.

    For the general case a(v), Eq (1.1) is typical of kinetic formulations for the multidimensional scalar conservation laws, and also in kinetic models under relativistic and quantum setting. The hyperbolic system can be reformulated as a kinetic equation by using an additional kinetic variable. Those formulations were derived in [31] and in [11] for a more complicated situation. In [32], Lions, Perthame, and Tadmor provide kinetic formulations for the isentropic gas dynamics and the p-systems. The derivation of these regularity results employs a kinetic formulation like Eq (1.1). The typical example of an application of velocity averaging lemmas to scalar conservation laws is [19,31]. The averaging lemmas for the Eq (1.1) were studied in [24,33]. In [27,28], Jabin and Vega introduced a new method that is performed in the real space to prove the velocity averaging lemma. Zhu [39] showed that in the setting of general transport operators, velocity averaging lemmas yield local boundedness and Hölder regularity of solutions under a suitable nondegeneracy condition on the rough vector field. Recently, Jabin, Lin, and Tadmor [25] found a commutator method with multipliers to prove averaging lemmas, the regularizing effect for the velocity average of solutions.

    Motivated by the above works, the main contribution of the current paper is to render a simple method with the vector field inspired from the methodological approach developed in [21]. We prove a new result for the celebrated velocity averaging lemma of Eq (1.1). These results are completely new and some of our calculations appear to be new too. The key point is employing the differential operator Dt in Lemma 2.2.

    One good strategy for the proof of the velocity averaging lemma, is to build up a bridge between the x-derivative and v-derivative. Gualdani, Mischler and Mouhot [21] proved that the operator tx+v can commute with the nonrelativistic transport operator t+vx. Thanks to this crucial differential operator tx+v, one can realize the exchange of regularity between the velocity variable v and the space variable x. However, for the relativistic model, it's difficult to find the associated operator commutes with the relativistic transport operator t+ˆvx, even for general case. Recently, Lin, Lyu and Wu [30] significantly observed that the operator tx+[v(ˆv)]1v can commute with the operator t+ˆvx. Motivated by [21,30], we try to find out the corresponding operator that can commute with t+a(v)x. Indeed, the novelty of this paper is that we can also find an anticipant operator tx+([va(v)]T)1v. This observation will play an important role in the proof of Theorem 1.1.

    In this section, we give the following lemma which will be used in the later proof. First, we will present some basic properties. For the sake of brevity and readability, the proof of Lemma 2.1 is shown in the Appendix.

    Lemma 2.1. For any σ, τ is equal to x or v, we have

    (a(v)σ)τf=[σ(τf)]a(v), (2.1)
    (a(v)x)Bvf=B(a(v)x)vf=B[x(vf)]a(v), (2.2)
    x(a(v)xf)=[x(xf)]a(v), (2.3)

    and

    v(a(v)xf)=[va(v)]Txf+[x(vf)]a(v), (2.4)

    where B is a 3×3 matrix and [va(v)]T is the transpose of the matrix va(v).

    By means of Lemma 2.1, we prove the crucial idea, which is the cornerstone of the proof of Theorem 1.1.

    Lemma 2.2. Let us define the differential operator Dt:=tx+([va(v)]T)1v, then we can prove that Dt commutes with the operator t+a(v)x, namely,

    [t+a(v)x,Dt]=0,

    where [A,B]=ABBA is the commutator.

    Proof. Set B=([va(v)]T)1. Applying Eqs (2.1)–(2.4), we can get

    [t+a(v)x,Dt]f=(t+a(v)x)DtfDt(t+a(v)x)f=t(txf+Bvf)+(a(v)x)(txf+Bvf)tx(tf+a(v)xf)Bv(tf+a(v)xf)=xf+tx(tf)+Bv(tf)+t(a(v)x)xf+(a(v)x)Bvftx(tf)tx(a(v)xf)Bv(tf)Bv(a(v)xf)=xf+tx(tf)+Bv(tf)+t[x(xf)]a(v)+B[x(vf)]a(v)tx(tf)t[x(xf)]a(v)Bv(tf)B[x(vf)]a(v)B[va(v)]Txf=xfB[va(v)]Txf.

    Since det(va(v))0, then B[va(v)]T=I. Therefore,

    [t+a(v)x,Dt]f=0.

    Next, we obtain a priori estimate.

    Lemma 2.3. For any positive weight function ω(v)>0, and for any t0, 1p,q+, then the solution f of the problem (1.1) and (1.2) verifies

    f(t,x,v)LqvLpx(ω(v))=fin(x,v)LqvLpx(ω(v)), (2.5)

    and

    Dtf(t,x,v)LqvLpx(ω(v))=Bvfin(x,v)LqvLpx(ω(v)). (2.6)

    Proof. We consider first that 1p,q<+,

    ddtfLqvLpx(ω(v))=ddt(R3v(Ωx|f|pdx)qpω(v)qdv)1q=f1qLqvLpx(ω(v))R3vfqpLpx(Ωx|f|p1sign(f)tfdx)ω(v)qdv=f1qLqvLpx(ω(v))R3vfqpLpx(Ωx1pa(v)x(|f|p)dx)ω(v)qdv=0. (2.7)

    Following the integration by parts, the term involving a(v)x vanishes.

    Similarly, by taking the limits p+ and q+ in Eq (2.7), the cases p=+ and q=+ are still holds.

    Thus,

    fLqvLpx(ω(v))=finLqvLpx(ω(v)).

    According to Lemma 2.2, we know that the differential operator Dt:=tx+Bv can commute with t+a(v)x. Thus,

    t(Dtf)+a(v)x(Dtf)=0.

    By taking the similar arguments as employed in Eq (2.7), it turns out that

    ddtDtfLqvLpx(ω(v))=Dtf1qLqvLpx(ω(v))R3vDtfqpLpx(Ωx1pa(v)x(|Dtf|p)dx)ω(v)qdv=0.

    Consequently, we have

    DtfLqvLpx(ω(v))=Dt=0finLqvLpx(ω(v))=BvfinLqvLpx(ω(v)).

    Thus, we conclude the proof of Lemma 2.3.

    Finally, let's introduce the weight function m(v)>0 in Theorem 1.1. For clarity, we write

    [va(v)]T=(aij(v))1i,j3=[v1a1(v)v1a2(v)v1a3(v)v2a1(v)v2a2(v)v2a3(v)v3a1(v)v3a2(v)v3a3(v)],

    where the entry aij(v)=viaj(v), i,j=1,2,3.

    A straightforward computation gives

    B=([va(v)]T)1=(bij(v))1i,j3=1det([va(v)]T)[a22a33a23a32a13a32a12a33a12a23a13a22a23a31a21a33a11a33a13a31a13a21a11a23a21a32a22a31a12a31a11a32a11a22a12a21].

    Next, we set

    m(v)=max{max1i,j3{|bij(v)|},max1i,j3{|vjbij(v)|}}>0. (2.8)

    This section is devoted to the proof of Theorem 1.1. In order to present it clear, we shall divide it into two steps.

    Proof. Step 1: We estimate the Lpx-norm of ρφ. By using the Minkowski's integral inequality and estimate Eq (2.5), we obtain that, for any 1p<+,

    ρφLpx=(Ωx|R3vf(t,x,v)φ(v)dv|pdx)1pR3v(Ωx|f(t,x,v)φ(v)|pdx)1pdvφLvfL1vLpx=φLvfinL1vLpx. (3.1)

    The case p=+ can be proved by the straightforward calculations as the reasoning above; hence, we omit the details.

    Step 2: We estimate the derivatives in x. We first compute the x-derivatives of ρφ as follows, for any i{1,2,3},

    xiρφ=R3vxifφ(v)dv=R3v1t[Dti(bi1v1+bi2v2+bi3v3)]fφ(v)dv=1tR3vDtifφ(v)dv+1tR3vf[v1(bi1φ(v))+v2(bi2φ(v))+v3(bi3φ(v))]dv1tR3v|Dtif||φ(v)|dv+1tR3v|f|m(v)[(|v1φ(v)|+|v2φ(v)|+|v3φ(v)|)+|φ(v)|]dv1tφ(v)LvDtifL1v+1tφ(v)W1,vfL1v(m(v)).

    Next, we continue by the Minkowski's integral inequality once again and the equality (2.6). It holds that

    xiρφLpx1tφ(v)Lv(ΩxDtifpL1vdx)1p+1tφ(v)W1,v(ΩxfpL1v(m(v))dx)1p1tφ(v)LvDtifL1vLpx+1tφ(v)W1,vfL1vLpx(m(v))=1tφ(v)Lv(bi1v1+bi2v2+bi3v3)finL1vLpx+1tφ(v)W1,vfinL1vLpx(m(v))3tφ(v)LvvfinL1vLpx(m(v))+1tφ(v)W1,vfinL1vLpx(m(v))3tφ(v)W1,v(finL1vLpx(m(v))+vfinL1vLpx(m(v))). (3.2)

    We now gather the above estimates Eqs (3.1) and (3.2) together to deduce that, for any p[1,+],

    ρφW1,px=ρφLpx+3i=1xiρφLpx(1+33t)φ(v)W1,v(finL1vLpx(m(v))+vfinL1vLpx(m(v))).

    Hence the proof of Theorem 1.1 is finished.

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

    The authors are very grateful to the anonymous referees for their constructive comments and helpful suggestions. They would like to thank Professor Kung-Chien Wu for his fruitful discussions and valuable advice during the preparation of this paper. M.-J. Lyu is supported by National Science and Technology Council under the grant NSTC 112-2115-M-033-002. B. Sun is partially supported by the National Natural Science Foundation of China (Grant No. 12171415) and the Scientific Research Foundation of Yantai University (Grant No. 2219008).

    The authors declare that they have no conflict of interest.

    In this appendix, we shall give a complete proof of Lemma 2.1.

    Proof of the equality (2.1). We only show for the case σ=x and τ=v. Since

    (a(v)x)vf=(a1(v)x1+a2(v)x2+a3(v)x3)[v1fv2fv3f]=[a1(v)x1v1f+a2(v)x2v1f+a3(v)x3v1fa1(v)x1v2f+a2(v)x2v2f+a3(v)x3v2fa1(v)x1v3f+a2(v)x2v3f+a3(v)x3v3f]=[x1v1fx2v1fx3v1fx1v2fx2v2fx3v2fx1v3fx2v3fx3v3f][a1(v)a2(v)a3(v)],

    then we have

    (a(v)x)vf=[x(vf)]a(v).

    Proof of the equality (2.2).

    (a(v)x)Bvf=(a1(v)x1+a2(v)x2+a3(v)x3)[b11b12b13b21b22b23b31b32b33][v1fv2fv3f]=(a1(v)x1+a2(v)x2+a3(v)x3)[b11v1f+b12v2f+b13v3fb21v1f+b22v2f+b23v3fb31v1f+b32v2f+b33v3f]=[a1(v)b11x1v1f+a1(v)b12x1v2f++a3(v)b12x3v2f+a3(v)b13x3v3fa1(v)b21x1v1f+a1(v)b22x1v2f++a3(v)b22x3v2f+a3(v)b23x3v3fa1(v)b31x1v1f+a1(v)b32x1v2f++a3(v)b32x3v2f+a3(v)b33x3v3f]=[b11b12b13b21b22b23b31b32b33][x1v1fx2v1fx3v1fx1v2fx2v2fx3v2fx1v3fx2v3fx3v3f][a1(v)a2(v)a3(v)]=B[x(vf)]a(v).

    Proof of the equality (2.3).

    x(a(v)xf)=[x1(a1(v)x1f+a2(v)x2f+a3(v)x3f)x2(a1(v)x1f+a2(v)x2f+a3(v)x3f)x3(a1(v)x1f+a2(v)x2f+a3(v)x3f)]=[a1(v)x1x1f+a2(v)x1x2f+a3(v)x1x3fa1(v)x2x1f+a2(v)x2x2f+a3(v)x2x3fa1(v)x3x1f+a2(v)x3x2f+a3(v)x3x3f]=[x1x1fx1x2fx1x3fx2x1fx2x2fx2x3fx3x1fx3x2fx3x3f][a1(v)a2(v)a3(v)]=x(xf)a(v) .

    Proof of the equality (2.4).

    v(a(v)xf)=[v1(a1(v)x1f+a2(v)x2f+a3(v)x3f)v2(a1(v)x1f+a2(v)x2f+a3(v)x3f)v3(a1(v)x1f+a2(v)x2f+a3(v)x3f)]=[v1a1(v)x1f+v1a2(v)x2f+v1a3(v)x3fv2a1(v)x1f+v2a2(v)x2f+v2a3(v)x3fv3a1(v)x1f+v3a2(v)x2f+v3a3(v)x3f]+[a1(v)v1x1f+a2(v)v1x2f+a3(v)v1x3fa1(v)v2x1f+a2(v)v2x2f+a3(v)v2x3fa1(v)v3x1f+a2(v)v3x2f+a3(v)v3x3f]=[v1a1(v)v1a2(v)v1a3(v)v2a1(v)v2a2(v)v2a3(v)v3a1(v)v3a2(v)v3a3(v)][x1fx2fx3f]+[x1v1fx2v1fx3v1fx1v2fx2v2fx3v2fx1v3fx2v3fx3v3f][a1(v)a2(v)a3(v)]=[va(v)]Txf+[x(vf)]a(v).


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