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Local well-posedness of 1D degenerate drift diffusion equation

  • This paper proves the well-posedness of locally smooth solutions to the free boundary value problem for the 1D degenerate drift diffusion equation. At the free boundary, the drift diffusion equation becomes a degenerate hyperbolic-Poisson coupled equation. We apply the Hardy's inequality and weighted Sobolev spaces to construct the appropriate a priori estimates, overcome the degeneracy of the system and successfully establish the existence of solutions in the Lagrangian coordinates.

    Citation: La-Su Mai, Suriguga. Local well-posedness of 1D degenerate drift diffusion equation[J]. Mathematics in Engineering, 2024, 6(1): 155-172. doi: 10.3934/mine.2024007

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  • This paper proves the well-posedness of locally smooth solutions to the free boundary value problem for the 1D degenerate drift diffusion equation. At the free boundary, the drift diffusion equation becomes a degenerate hyperbolic-Poisson coupled equation. We apply the Hardy's inequality and weighted Sobolev spaces to construct the appropriate a priori estimates, overcome the degeneracy of the system and successfully establish the existence of solutions in the Lagrangian coordinates.



    We consider the well-known drift diffusion equation which usually describes the motion of elections in the semiconductor device [21]:

    {ρtpx(ρ)=(ρϕx)x,ϕxx=ρD(x), (1.1)

    where ρ,ϕ represent the electron density and the electrostatic potential, respectively. The function D(x) is called the doping profile standing for the density of impurities in semiconductor device, which plays an important role for the existence of solution to the mathematical models of semiconductor [1,11,12,14,23,24,26,27]. The pressure p(ρ) is given by γ-law, namely,

    p(ρ)=ργforγ>1. (1.2)

    From the point of view of mathematics, one of the main motivations for studying system (1.1) is to consider the relation between with the unipolar hydrodynamic semiconductor model [5,6]. The main reason is that the unipolar hydrodynamic semiconductor model reduces to the system (1.1) as the relaxation time (parameter in the semiconductor model) goes to the zero, which calls the zero-relaxation limit. However, the system (1.1) is a coupled system of a parabolic equation and the Poisson equation, but the unipolar hydrodynamic semiconductor model is a coupled system of a hyperbolic equation and the Poisson equation. This property occurs the initial layer and makes the mathematical justification of the relaxation limit more complicated. There have been a lot of works to study the 1D zero-relaxation limit such as in [8,13,15,20,21,22,23]. In particular, Marcati and Natalini [20] made a pioneering work in the field and provided new methods and perspectives for the relevant research field. To the best of our knowledge, beside we [19] proved the local well-posedness of smooth solution for the spherically symmetric drift diffusion equation, there is still a lack of research in this area. This paper aims to fill this gap by providing further analysis and investigation on this topic.

    In this paper, we mainly discuss the case of γ=2. Let us introduce the velocity of elections in the system (1.1) by:

    υ(x,t)=(ρ2)xρ+ϕx,

    then the system (1.1) can be written as the hyperbolic-Poisson coupled form:

    {ρt+(ρυ)x=0,υ(x,t)=(ρ2)xρ+ϕx,ϕxx=ρD(x). (1.3)

    The aim of this paper is to study the well-posedness for the local smooth solutions to the free boundary value problem of the system (1.3) in (x,t)(a(t),b(t))×(0,T) with the following free boundary and the initial conditions:

    {ρ>0,in(a(t),b(t)),ρ(a(t),t)=ρ(b(t),t)=D(a(t))=D(b(t))=0,da(t)dt=υ(a(t),t),db(t)dt=υ(b(t),t),(ρ,υ)(x,0)=(ρ0(x),υ0(x)),x(a(0),b(0))=(0,1),0<|ddx(ρ20)|<,at0and 1, (1.4)

    The condition (1.4)2 implies the electron density ρ occurs the vacuum on the free boundary which makes the system (1.3) being a degenerate system. The condition (1.4)4 confirms that ρ0 is equivalent to the distance function d(x) of the boundary near x=0,1, which is called the physical vacuum condition for the compressible fluids (cf. [2,3,4,9,10,17,18]).

    This paper is to investigate the well-posedenss of the local smooth solution for the free boundary value problem (1.3) and (1.4). Under the Lagrangian variable (2.1), the free boundary value problem (1.3) and (1.4) will be reduced to an equivalent system with the initial boundary value problem (2.7) and (2.11). The well-posedness of local smooth solutions to the problem (1.3) and (1.4) will be stated in Theorem 2.1.

    Note that, due to the degeneracy of the system (1.3) on the moving boundary caused by the pressure term, the classical theory of Friedrich-Lax-Kato for quasilinear strictly hyperbolic system can not be directly applied to prove the existence of local smooth solutions. Due to the physical vacuum condition (1.4)5, the initial data ρ0 is equivalent to the distance function near the boundary. Thus, the initial data ρ0 plays the role of weight in the weighted Sobolev embedding inequality (1.5), which is the connection between L2-norm and the weighted Sobolev spaces. Especially, the initial data ρ0 plays the basic weight in the coefficient of the Lagrangian form (2.7) of the system (1.3). This observation helps us to overcome the obstacle by using the Hardy's inequality in a certain weighted Sobolev space. Compared to the analysis in the previous studies [2,3,4,9,10,16,17,18], the Lagrangian form of the compressible Euler equation is a degenerate quasilinear wave equation, but the Lagrangian form in (2.7) of the drift diffusion equation (1.3) is a degenerate quasilinear parabolic equation, which makes some essential difference between two systems.

    The remaining sections of this paper are as follows. In Section 2, under the Lagrangian transformation, we transform the free boundary problem into an initial boundary value problem and provide the main theorems. In Section 3, we mainly establish energy estimates for higher-order temporal derivatives and higher-order spatial regularization elliptic derivative estimates. In Section 4, we prove the existence and uniqueness.

    Notation and weighted Sobolev spaces

    Let Hk(0,1) denote the usual Sobolev spaces with the norm k, especially 0=. For real number l, the Sobolev spaces Hl(0,1) and the norm l are defined by interpolation. The function space L(0,1) is simplified by L.

    Let d(x) be distance function to boundary Γ={0,1} as d(x)=dist(x,Γ)=min{x,1x}forxΓ. For any a>0 and nonnegative b, the weighted Sobolev space Ha,b is given by

    Ha,b:={da2FL2(0,1):10da|kxF|2dx,0kb}

    with the norm

    F2Ha,b:=b010da|kxF|dx.

    Then, it holds the following embedding: Ha,b(0,1)Hba/2(0,1), with the estimate Fba/2C0FHa,b. In particular, we have

    F20C010d(x)2(|F(x)|2+|F(x)|2)dx, (1.5)
    F21/2C010d(x)(|F(x)|2+|F(x)|2)dx. (1.6)

    In order to transform the region (0,R(t)) into (0,1), we define the Lagrangian variables η(x,t) as:

    tη(x,t)=υ(η(x,t),t),η(x,0)=x. (2.1)

    We also have:

    u(x,t)=υ(η(x,t),t),f(x,t)=ρ(η(x,t),t),Φ(x,t)=ϕ(η(x,t),t).

    Then, the first equation of (1.3) is equivalent to

    f=ρ0(x)ηx, (2.2)

    which in combination with (1.3) leads to

    ρ0u+(ρ02ηx2)x=ρ0ϕη, (2.3)
    ϕηη=ρD(η). (2.4)

    We have form (2.4)

    ϕη(η)=ηa(t)[ρ(y,t)D(y)]dy+M(t). (2.5)

    where M(t) being function of t. Without loss of generality, we take ϕη(+)=ϕη(+) and obtain

    ϕη(+)=12+[ρ(y,t)D(y)]dy,ϕη()=12+[ρ(y,t)D(y)]dy, (2.6)

    and

    M(t)=12+a(t)[ρ(y,t)D(y)]dy+12a(t)[ρ(y,t)D(y)]dy.

    Due to (1.4)2, it holds that ρ(η,t)=D(η)=0, when ηa(t) or ηb(t), which implies

    M(t)=12b(t)a(t)[ρ(y,t)D(y)]dy.

    By using (2.1), it follows that

    ϕη=Φxηx=ηa(t)[ρ(y,t)D(y)]dy12b(t)a(t)[ρ(y,t)D(y)]dy=η(x,t)η(0,t)[ρ(η,t)D(η)]dy12η(1,t)η(0,t)[ρ(η,t)D(η)]dy=x0[f(y,t)D(η)]ηydy1210[f(y,t)D(η)]ηydy=x0ρ0dy1210ρ0dy12x0D(η)ηydy+121xD(η)ηydy.

    Thus, we can rewrite (2.3) as

    ρ0u+(ρ02ηx2)x=ρ0F, (2.7)

    where

    F=x0ρ0dy1210ρ0dy12x0D(η)ηydy+121xD(η)ηydy. (2.8)

    Taking t over (2.7), we have

    ρ0ut2(ρ02η3xux)x=ρ0Gt, (2.9)
    G=12x0D(η)ηydy+121xD(η)ηydy. (2.10)

    The initial and boundary conditions (1.4) can be transformed to

    {ρ0>0,in(0,1),ρ0=0,atx=0,1,(η,u)(x,0)=(x,υ0(x)),x(0,1),0<|ρ0(x)|<+,atx=0,1. (2.11)

    Define the energy functional E(t) by:

    E(t):=u(t)2H2(0,1)+ρ0uxx2H1(0,1)+ρ0uxxx|20+ut2H1(0,1)+ uxt20+ρ0uxt2H1(0,1)+ρ0uxxt20+ utt20+ρ0uxtt20, (2.12)

    with the following compatibility conditions for k=1,2:

    ktu(x,0):=k1t[F1ρ0(ρ20η2x)]|t=0. (2.13)

    where F is given by (2.8). Throughout the whole paper, we denote P as a generic polynomial function of its argument and P0=P(E(0)).

    We describe the main result of this paper as follows.

    Theorem 2.1. Let the initial data ρ0C2[0,1], the doping profile DC3[0,1] satisfying (2.11) and (2.13), and

    E(0)<+andρ0C2[0,1]+DC3[0,1]M0,

    with M0 being a positive constant. In addition, let the following degeneracy condition of the doping profile D satisfying

    0<D(x)<d(x)near0and1, (2.14)

    where d(x) is a distance function. Then, there exists a positive constant ¯T such that the problem (2.7) and (2.11) has a unique smooth solution (η,u) in [0,1]×[0,¯T] satisfying

    supt[0,¯T]E(t)2P0. (2.15)

    In this section, we mainly establish the prior estimates. More preciously, Section 3.1 develops high-order time derivative estimates, while Section 3.2 establishes high-order spatial derivative estimates. For this purpose, we begin by assuming that there exist a smooth solution (η,u) to the problem (2.7) and (2.11) on [0,1]×[0,T] satisfying

    supt[0,T]uxLM0, (3.1)

    for some constant M0>0 determined later, which implies there is a small enough time 0<¯T<T<1 such that for any (x,t)(0,t)×(0,¯T],

    12ηx(x,t)32. (3.2)

    This subsection mainly proves the high-order time derivative estimates of local smooth solutions for the initial boundary value problem (2.7) and (2.11).

    Lemma 3.1. Assume that (3.1) holds on [0,1]×[0,T]. Then it holds that for t(0,T],

    t010ρ0u2tttdxds+ρ0uxtt20E(0)+CtP(sup0τtE(τ)). (3.3)

    Proof. From (2.9), we have

    ρ0uttt2(ρ02η3x2tux)x=2(ρ202l=1Cl2ltη3x2ltux)x+ρ0Gttt. (3.4)

    Multiplying (3.4) by 3tu and integrating over (0,t)×(0,1) shows

    t010ρ0u2tttdxds+10ρ20η3x(2tux)2dx=2t010(ρ202l=1Cl2ltη3x2ltux)x3tudxds+t010ρ0Gttt3tudxds+10ρ02η3x(2tux)2(0)dx+t010ρ20tη3x(2tux)2dxds. (3.5)

    The fourth term on the right side of (3.5) is estimated as follows:

    |t010ρ20tη3x(2tux)2dxds|Ct0uxLρ02tux20dsCtP(sup0τtE(τ)).

    By using the integrating by parts, the first term on the right side of (3.5) is

    2t010(ρ202l=1Cl2ltη3x2ltux)x3tudxds=2t010(ρ202l=1Cl2ltη3x2ltux)3tuxdxds=210ρ202l=1Cl2ltη3x2ltux2tuxdx+210ρ202l=1Cl2ltη3x2ltux2tux(0)dx+2t010(ρ202l=1Cl2ltη3x2ltux)t2tuxdxds. (3.6)

    The first term on the right side of (3.6) is

    210ρ202l=1Cl2ltη3x2ltux2tuxdx=410ρ20tη3xtux2tuxdx210ρ202tη3xux2tuxdx. (3.7)

    The first term on the right side of (3.7) can be controlled as

    |410ρ20tη3xtux2tuxdx|=|1210ρ20η4xuxtux2tuxdx|C(ε)ux(0)2L10ρ20[uxt(0)+t02tuxdτ]2dx+C(ε)ρ0uxt2Lt0uxt20dτ+ε10ρ20(2tux)2dxP(0)+CtP(sup0τtE(τ)), (3.8)

    with ε being a positive constant. The second term on the right side of (3.7) is

    210ρ202tη3xux2tuxdx=2410ρ20η5xu3x2tuxdx+610ρ20η4xuxtux2tuxdx. (3.9)

    Due to the Cauchy inequality, the fundamental theorem of calculus shows that the first term on the right side of (3.9) can be estimated for any positive constant ε,

    |2410ρ20η5xu3x2tuxdx|C(ε)10ρ20u6x(0)dx+C(ε)10ρ20u4x(0)(t0uxtdτ)2dxP(0)+C(ε)ρ0u2x(0)2Lt0uxt20dτ+C(ε)ρ0ux(0)2Lux2Lt0uxt20dτ+C(ε)ux4Lt0uxt20dτ+C(ε)10ρ20(t0uxtdτ)2ux4dx+ε10ρ20(2tux)2dxP(0)+CtP(sup0τtE(τ)). (3.10)

    Similarly, the second term on the right side of (3.9) is

    |610ρ20η4xuxtux2tuxdx|C(ε)10ρ20ux2(tux)2dx+ε10ρ20(2tux)2dxC(ε)ux(0)2L10ρ20[uxt(0)+t02tuxdτ]2dx+C(ε)ρ0uxt2Lt0uxt20dτ+ε10ρ20(2tux)2dxP(0)+CtP(sup0τtE(τ)). (3.11)

    The last term on the right side of (3.6) is

    2t010(ρ2021Cl2ltη3x2ltux)t2tuxdxds=6t010ρ202tη3xtux2tuxdxds+4t010ρ20tη3x2tux2tuxdxds+2t010ρ203tη3xux2tuxdxds. (3.12)

    We only estimate the last term on the right side of (3.12), while the other terms can be controlled similarly, as

    |2t010ρ203tη3xux2tuxdxds|Ct0(ux8L+ρ02tux20)ds+Ct0(ux4Lρ0uxt20+ρ02tux20)ds+CuxLt0ρ02tux20dsCtP(sup0τtE(τ)). (3.13)

    By (2.10), a divert computation shows

    |Gttt|C(u3L+uLutL+u2L+uttL2+uxLutL+uLuxtL2+uxttL2), (3.14)

    where C is a positive constant depending on DC3[0,1]. Then, we have the estimate of the second term on the right side of (3.5) for any positive constant ε,

    |t010ρ0Gttt3tudxds|C(ε)t010ρ20G2tttdxds+εt010(3tu)2dxdsC(ε)t0ρ0Gttt20ds+εt010(3tu)2dxdsCtP(sup0τtE(τ)). (3.15)

    Substituting (3.6)–(3.15) into (3.5) obtain (3.3). This is the end of proof.

    The primary focus of this subsection is to establish the high-order spatial derivative estimates in (3.16) for the local smooth solution of the problem (2.7) and (2.11) on the interval [0,1]×[0,T], assuming (3.1).

    Lemma 3.2. Assume that (3.1) holds on [0,1]×[0,T]. Then it holds that for t(0,T],

    (ux,ρ0uxx,uxt,ρ0uxxt,ρ0uxxx)20E(0)+CtP(sup0τtE(τ)). (3.16)

    Proof. We divide our proof into the following three steps.

    Step1. Estimate of (ρ0uxx,ux)20.

    We can rewrite (2.9) as

    ρ0uxx+2ρ0xux=12utρ0(η3x1)uxx2ρ0x(η3x1)ux+3ρ0η4xuxηxx12Gt. (3.17)

    Taking L2-norm, we have

    ρ0uxx+2ρ0xux2012ut20+ρ0(η3x1)uxx20+2ρ0x(η3x1)ux20+3ρ0η4xuxηxx20+12Gt20. (3.18)

    The left-hand side of (3.18) is estimated as follows

    ρ0uxx+2ρ0xux20=ρ0uxx20+2ρ0xux20210ρ0ρ0xxu2xdxρ0uxx20+2ρ0xux20P(0)CtP(sup0τtE(τ)), (3.19)

    where we have used

    210ρ0ρ0xxu2xdx=210ρ0ρ0xx(ux(0)+t0uxtdτ)2dxP(0)+ρ0ρ0xxLt0uxt20dτP(0)+CtP(sup0τtE(τ)). (3.20)

    The first term on the right side of (3.18) is estimated as follows:

    12ut20Cut20=Cut(0)+t0uttdτ20P(0)+CtP(sup0τtE(τ)). (3.21)

    Similarly, we have the estimates of the other terms on the ride side of (3.18) as

    ρ0(η3x1)uxx20Ct0ux2Ldτρ0uxx20CtP(sup0τtE(τ)),
    2ρ0x(η3x1)ux20Ct0ux2Ldτux20CtP(sup0τtE(τ)),

    and

    3ρ0η4xuxηxx20Ct0ρ0uxx20dτux2LCtP(sup0τtE(τ)).

    Finally, we have for the last term on the ride side of (3.18)

    12Gt20CGt20Cu20+Cux20=Cu(0)+t0utdτ20+Cux(0)+t0uxtdτ20P(0)+CtP(sup0τtE(τ)). (3.22)

    From (3.18)–(3.22), we have

    ρ0uxx20+ux20P(0)+CtP(sup0τtE(τ)). (3.23)

    Step 2. Estimate of (ρ0uxxt,uxt)20.

    Taking t over (3.17), we have

    ρ0uxxt+2ρ0xuxt=12utt+6ρ0η4xuxuxxρ0(η3x1)uxxt+6ρ0xη4xu2x2ρ0x(η3x1)uxt12ρ0η5xu2xηxx+3ρ0η4xuxtηxx12Gtt. (3.24)

    Taking L2-norm, we have

    ρ0uxxt+2ρ0xuxt2012utt20+6ρ0η4xuxuxx20+ρ0(η3x1)uxxt20+6ρ0xη4xu2x20+2ρ0x(η3x1)uxt20+12ρ0η5xu2xηxx20+3ρ0η4xuxtηxx20+12Gtt20. (3.25)

    The first term on the right side of (3.25) is estimated as follows:

    12utt20Cutt20C10ρ20(u2tt+u2xtt)dxP(0)+Ct0ρ0uttt20dτ+C10ρ20u2xttdxP(0)+CtP(sup0τtE(τ)). (3.26)

    The second term on the right side of (3.25) is

    6ρ0η4xuxuxx20Cρ0ux(0)(uxx(0)+t0uxxtdτ)20+Cρ0t0uxtdτuxx20P(0)+CtP(sup0τtE(τ)). (3.27)

    Similarly, we have

    ρ0(η3x1)uxxt20Cρ0t0uxdτuxxt20Cρ0uxxt20t0ux2LdτCtP(sup0τtE(τ)),

    and

    6ρ0xη4xu2x20Cux(0)4L+Cux(0)2Lt0uxt20dτ+Cux2Lt0uxt20dτP(0)+CtP(sup0τtE(τ)).

    We turn to estimate the seventh term on the ride side of (3.25) as

    12Gtt20C(u2L+utL2+uLuxL2+uxtL2)P(0)+CtP(sup0τtE(τ)).

    We can also estimate the other terms on the right side of (3.25) and obtain similar to (3.23)

    ρ0uxxt20+uxt20P(0)+CtP(sup0τtE(τ)). (3.28)

    Step 3. Estimate of (ρ0uxxx,uxx)20.

    Taking x over (3.17), we have

    ρ0uxxx+3ρ0xuxx=12uxt3ρ0x(η3x1)uxx+3ρ0η4xηxxuxxρ0(η3x1)uxxx2ρ0xx(η3x2)ux+9ρ0xη4xηxxux12ρ0η5xη2xxux+3ρ0η4xηxxxux12Gtx. (3.29)

    Taking L2-norm, we have

    ρ0uxxx+3ρ0xuxx2012uxt20+3ρ0x(η3x1)uxx20+3ρ0η4xηxxuxx20+ρ0(η3x1)uxx20+2ρ0xx(η3x2)ux20+3ρ0xη4xηxxux20+12ρ0η5xη2xxux20+3ρ0η4xηxxxux20+12Gtx20. (3.30)

    The estimate for the third term on the right-hand side of (3.30) is given by

    3ρ0η4xηxxuxx20Cρ0t0uxxdτuxx20Cuxx20t0ρ0uxx2LdτCtP(sup0τtE(τ)).

    We make the following procedure for the seventh term on the right-hand side of (3.30)

    12ρ0η5xη2xxux20Cρ0η2xxux20Cρ0(t0uxxdτ)2ux20Cux2Lt0ρ0uxx2Ldτt0uxx20dτCtP(sup0τtE(τ)).

    Considering the eighth term on the right-hand side of (3.30), we can obtain the following estimate

    3ρ0η4xηxxxux20Cρ0t0uxxxdτux20Cux2Lt0ρ0uxxx20dτCtP(sup0τtE(τ)).

    We can control the right-hand side of (3.30) by a similar estimate to (3.28), and obtain

    ρ0uxxx20+uxx20P(0)+CtP(sup0τtE(τ)). (3.31)

    Finally, we have (3.16) from (3.23), (3.28) and (3.31).

    By (1.5), (1.6), (3.3), (3.16) and the fundamental theorem of calculous, we can get

    E(t)P0+CtP(sup0τtE(τ)), (4.1)

    which implies (2.15), where we have used a polynomial-type inequality introduced in [2]. Based on the a priori estimate in (3.1), this subsection is contributed to prove the existence of local smooth solutions for the problem (2.7) and (2.11) on [0,1]×[0,T] by the similar method in [7] by using the fixed point theorem. We omit the detailed proof here.

    We describe the uniqueness of smooth solutions in the following Lemma 4.1.

    Lemma 4.1. Assume that (η,u) is a solution to the problem (2.7) and (2.11) corresponding to the initial data (ρ0,u0) satisfying (2.15) and

    η=x0+t0udτ. (4.2)

    Then, there exists a positive time 0<˜T<T such that for any [0,1]×[0,˜T], the solution (η,u) is unique.

    Proof. Set

    η1=x+t0u1dτ,η2=x+t0u2dτ,R=η1η2,Rt=U=u1u2. (4.3)

    Substituting (4.3) into (2.7) and subtracting the resulting equations, we write the resulting equation as

    ρ0(u1u2)+(ρ20η21xρ20η22x)x=12ρ01x[D(η1)η1yD(η2)η2y]dy12ρ0x0[D(η1)η1yD(η2)η2y]dy. (4.4)

    By a straightforward calculation, we can obtain

    ρ0U(ρ20RxG1)x=12ρ01x[D(η1)Ry+G2R]dy12ρ0x0[D(η2)Ry+G3R]dy, (4.5)

    where

    G1=η1x+η2xη21xη22x,G2=η2x10Dη[η2+μ(η1η2)]dμ,G3=η1x10Dη[η2+μ(η1η2)]dμ.

    Due to (2.15), there exists a positive constant K0 such that

    ηxL+uxL+DηLK0,D(η)Cρ0,3i=1GiLC(K0),tG1LC(K0). (4.6)

    Multiplying (4.5) by R, integrating the resultant equation over (0,t)×(0,1), then the integration by parts implies

    1210ρ0R2dx+t010ρ20R2xG1dxds=12t010ρ01x[D(η1)Ry+G2R]dyRdxds12t010ρ0x0[D(η2)Ry+G3R]dyRdxds. (4.7)

    From (2.14), we have

    |12t010ρ01x[D(η1)Ry+G2R]dyRdxds|Ct010ρ0R2dxds+Ct010ρ0{1x[D(η1)Ry+G2R]dy}2dxdsCt0ρ120R20ds+Ct0(ρ0Rx20+ρ120R20)dsCt0(ρ0Rx20+ρ120R20)ds. (4.8)

    Similarly, the second term on the ride side of (4.7) can be controlled by

    Ct0(ρ0Rx20+ρ120R20)ds.

    Thus,

    1210ρ0R2dxds+t010ρ20R2xG1dxdsCt0(ρ0Rx20+ρ120R20)ds. (4.9)

    Multiplying (4.5) by Uand integration over (0,t)×(0,1), we have similar to (4.7)

    t010ρ0U2dxds+1210ρ20R2xG1dx=12t010ρ01x[D(η1)Ry+G2R]dyUdxds12t010ρ0x0[D(η2)Ry+G3R]dyUdxds+12t010ρ20R2xG1dxds. (4.10)

    Similar to (4.8), it follows that

    |12t010ρ01x[D(η1)Ry+G2R]dyUdxds|εt010ρ0U2dxds+Ct010ρ0{1x[D(η1)Ry+G2R]dy}2dxdsεt010ρ0U2dxds+Ct0ρ0Rx20+(ρ120R20)ds.

    Thus, we have

    t010ρ0U2dxds+1210ρ20R2xG1dxεt010ρ0U2dxds+Ct0ρ0Rx20ds+ρ120R20. (4.11)

    From (4.9) and (4.11), we obtain

    t010ρ0U2dxds+t010ρ20R2xG1dxds+1210ρ0R2dx+1210ρ20R2xG1dxC(K0)t0(ρ0Rx20+ρ120R20)ds.

    By applying the Gronwall inequality, it holds that

    10[ρ0(η1η2)2+ρ20(η1xη2x)2]dx0,

    which gives

    η1=η2andu1=u2.

    In this paper, we have obtained the well-posedness of local smooth solutions to the free boundary value problem in a one-dimensional degenerate drift-diffusion model, which becomes a degenerate hyperbolic-Poisson coupled equation at the free boundary. We have applied the Hardy's inequality and the the weighted Sobolev spaces to construct the appropriate a priori estimates, and establish the existence of solutions in the Lagrangian coordinates. Our result and the methods are new for the drift diffusion equation. In future research, we will continue to improve the method and study the related topics on the free boundary value problems to the drift diffusion equations, mainly including the well-posedness and the large time behaviors to the local and global smooth solutions for the one-dimensional, spherically symmetric, cylindrical symmetric and the three dimensional cases.

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

    We would like to express our sincere thanks to the referee for the valuable and helpful suggestions and comments, which made a significant change of the paper. The research was partially supported by the National Natural Science Foundation of China (No. 11601246, and No. 11971014), Young science and technology talents cultivation project of Inner Mongolia University (No. 21221505), Research and Educational Reform Project for Graduate Education of Inner Mongolia Autonomous Region in 2023 (No. JGCG2023007) and Outstanding Youth fund of Inner Mongolia Natural Science Foundation (No. 2023JQ13).

    The authors declare no conflicts of interest.



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