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]:
{ρt−px(ρ)=(ρϕx)x,ϕxx=ρ−D(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=ρ−D(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,1−x}forx∈Γ. For any a>0 and nonnegative b, the weighted Sobolev space Ha,b is given by
Ha,b:={da2F∈L2(0,1):∫10da|∂kxF|2dx≤∞,0≤k≤b} |
with the norm
‖F‖2Ha,b:=b∑0∫10da|∂kxF|dx. |
Then, it holds the following embedding: Ha,b(0,1)↪Hb−a/2(0,1), with the estimate ‖F‖b−a/2≤C0‖F‖Ha,b. In particular, we have
‖F‖20≤C0∫10d(x)2(|F(x)|2+|F′(x)|2)dx, | (1.5) |
‖F‖21/2≤C0∫10d(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=ρ−D(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+12∫a(t)−∞[ρ(y,t)−D(y)]dy. |
Due to (1.4)2, it holds that ρ(η,t)=D(η)=0, when η≤a(t) or η≥b(t), which implies
M(t)=−12∫b(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)]dy−12∫b(t)a(t)[ρ(y,t)−D(y)]dy=∫η(x,t)η(0,t)[ρ(η,t)−D(η)]dy−12∫η(1,t)η(0,t)[ρ(η,t)−D(η)]dy=∫x0[f(y,t)−D(η)]ηydy−12∫10[f(y,t)−D(η)]ηydy=∫x0ρ0dy−12∫10ρ0dy−12∫x0D(η)ηydy+12∫1xD(η)ηydy. |
Thus, we can rewrite (2.3) as
ρ0u+(ρ02ηx2)x=ρ0F, | (2.7) |
where
F=∫x0ρ0dy−12∫10ρ0dy−12∫x0D(η)ηydy+12∫1xD(η)ηydy. | (2.8) |
Taking ∂t over (2.7), we have
ρ0ut−2(ρ02η−3xux)x=ρ0Gt, | (2.9) |
G=−12∫x0D(η)ηydy+12∫1xD(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<|ρ′0(x)|<+∞,atx=0,1. | (2.11) |
Define the energy functional E(t) by:
E(t):=‖u(t)‖2H2(0,1)+‖ρ0uxx‖2H1(0,1)+‖ρ0uxxx‖|20+‖ut‖2H1(0,1)+‖ uxt‖20+‖ρ0uxt‖2H1(0,1)+‖ρ0uxxt‖20+‖ utt‖20+‖ρ0uxtt‖20, | (2.12) |
with the following compatibility conditions for k=1,2:
∂ktu(x,0):=∂k−1t[F−1ρ0(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 ρ0∈C2[0,1], the doping profile D∈C3[0,1] satisfying (2.11) and (2.13), and
E(0)<+∞and‖ρ0‖C2[0,1]+‖D‖C3[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]‖ux‖L∞≤M0, | (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],
12≤ηx(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],
∫t0∫10ρ0u2tttdxds+‖ρ0uxtt‖20≤E(0)+CtP(sup0≤τ≤tE(τ)). | (3.3) |
Proof. From (2.9), we have
ρ0uttt−2(ρ02η−3x∂2tux)x=2(ρ202∑l=1Cl2∂ltη−3x∂2−ltux)x+ρ0Gttt. | (3.4) |
Multiplying (3.4) by ∂3tu and integrating over (0,t)×(0,1) shows
∫t0∫10ρ0u2tttdxds+∫10ρ20η−3x(∂2tux)2dx=2∫t0∫10(ρ202∑l=1Cl2∂ltη−3x∂2−ltux)x∂3tudxds+∫t0∫10ρ0Gttt∂3tudxds+∫10ρ02η−3x(∂2tux)2(0)dx+∫t0∫10ρ20∂tη−3x(∂2tux)2dxds. | (3.5) |
The fourth term on the right side of (3.5) is estimated as follows:
|∫t0∫10ρ20∂tη−3x(∂2tux)2dxds|≤C∫t0‖ux‖L∞‖ρ0∂2tux‖20ds≤CtP(sup0≤τ≤tE(τ)). |
By using the integrating by parts, the first term on the right side of (3.5) is
2∫t0∫10(ρ202∑l=1Cl2∂ltη−3x∂2−ltux)x∂3tudxds=−2∫t0∫10(ρ202∑l=1Cl2∂ltη−3x∂2−ltux)∂3tuxdxds=−2∫10ρ202∑l=1Cl2∂ltη−3x∂2−ltux∂2tuxdx+2∫10ρ202∑l=1Cl2∂ltη−3x∂2−ltux∂2tux(0)dx+2∫t0∫10(ρ202∑l=1Cl2∂ltη−3x∂2−ltux)t∂2tuxdxds. | (3.6) |
The first term on the right side of (3.6) is
−2∫10ρ202∑l=1Cl2∂ltη−3x∂2−ltux∂2tuxdx=−4∫10ρ20∂tη−3x∂tux∂2tuxdx−2∫10ρ20∂2tη−3xux∂2tuxdx. | (3.7) |
The first term on the right side of (3.7) can be controlled as
|−4∫10ρ20∂tη−3x∂tux∂2tuxdx|=|12∫10ρ20η−4xux∂tux∂2tuxdx|≤C(ε)‖ux(0)‖2L∞∫10ρ20[uxt(0)+∫t0∂2tuxdτ]2dx+C(ε)‖ρ0uxt‖2L∞∫t0‖uxt‖20dτ+ε∫10ρ20(∂2tux)2dx≤P(0)+CtP(sup0≤τ≤tE(τ)), | (3.8) |
with ε being a positive constant. The second term on the right side of (3.7) is
−2∫10ρ20∂2tη−3xux∂2tuxdx=−24∫10ρ20η−5xu3x∂2tuxdx+6∫10ρ20η−4xuxtux∂2tuxdx. | (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,
|−24∫10ρ20η−5xu3x∂2tuxdx|≤C(ε)∫10ρ20u6x(0)dx+C(ε)∫10ρ20u4x(0)(∫t0uxtdτ)2dx≤P(0)+C(ε)‖ρ0u2x(0)‖2L∞∫t0‖uxt‖20dτ+C(ε)‖ρ0ux(0)‖2L∞‖ux‖2L∞∫t0‖uxt‖20dτ+C(ε)‖ux‖4L∞∫t0‖uxt‖20dτ+C(ε)∫10ρ20(∫t0uxtdτ)2ux4dx+ε∫10ρ20(∂2tux)2dx≤P(0)+CtP(sup0≤τ≤tE(τ)). | (3.10) |
Similarly, the second term on the right side of (3.9) is
|6∫10ρ20η−4xuxtux∂2tuxdx|≤C(ε)∫10ρ20ux2(∂tux)2dx+ε∫10ρ20(∂2tux)2dx≤C(ε)‖ux(0)‖2L∞∫10ρ20[uxt(0)+∫t0∂2tuxdτ]2dx+C(ε)‖ρ0uxt‖2L∞∫t0‖uxt‖20dτ+ε∫10ρ20(∂2tux)2dx≤P(0)+CtP(sup0≤τ≤tE(τ)). | (3.11) |
The last term on the right side of (3.6) is
2∫t0∫10(ρ202∑1Cl2∂ltη−3x∂2−ltux)t∂2tuxdxds=6∫t0∫10ρ20∂2tη−3x∂tux∂2tuxdxds+4∫t0∫10ρ20∂tη−3x∂2tux∂2tuxdxds+2∫t0∫10ρ20∂3tη−3xux∂2tuxdxds. | (3.12) |
We only estimate the last term on the right side of (3.12), while the other terms can be controlled similarly, as
|2∫t0∫10ρ20∂3tη−3xux∂2tuxdxds|≤C∫t0(‖ux‖8L∞+‖ρ0∂2tux‖20)ds+C∫t0(‖ux‖4L∞‖ρ0uxt‖20+‖ρ0∂2tux‖20)ds+C‖ux‖L∞∫t0‖ρ0∂2tux‖20ds≤CtP(sup0≤τ≤tE(τ)). | (3.13) |
By (2.10), a divert computation shows
|Gttt|≤C(‖u‖3L∞+‖u‖L∞‖ut‖L∞+‖u‖2L∞+‖utt‖L2+‖ux‖L∞‖ut‖L∞+‖u‖L∞‖uxt‖L2+‖uxtt‖L2), | (3.14) |
where C is a positive constant depending on ‖D‖C3[0,1]. Then, we have the estimate of the second term on the right side of (3.5) for any positive constant ε,
|∫t0∫10ρ0Gttt∂3tudxds|≤C(ε)∫t0∫10ρ20G2tttdxds+ε∫t0∫10(∂3tu)2dxds≤C(ε)∫t0‖ρ0Gttt‖20ds+ε∫t0∫10(∂3tu)2dxds≤CtP(sup0≤τ≤tE(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)‖20≤E(0)+CtP(sup0≤τ≤tE(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=12ut−ρ0(η−3x−1)uxx−2ρ0x(η−3x−1)ux+3ρ0η−4xuxηxx−12Gt. | (3.17) |
Taking L2-norm, we have
‖ρ0uxx+2ρ0xux‖20≤‖12ut‖20+‖ρ0(η−3x−1)uxx‖20+‖2ρ0x(η−3x−1)ux‖20+‖3ρ0η−4xuxηxx‖20+‖12Gt‖20. | (3.18) |
The left-hand side of (3.18) is estimated as follows
‖ρ0uxx+2ρ0xux‖20=‖ρ0uxx‖20+2‖ρ0xux‖20−2∫10ρ0ρ0xxu2xdx≥‖ρ0uxx‖20+2‖ρ0xux‖20−P(0)−CtP(sup0≤τ≤tE(τ)), | (3.19) |
where we have used
2∫10ρ0ρ0xxu2xdx=2∫10ρ0ρ0xx(ux(0)+∫t0uxtdτ)2dx≤P(0)+‖ρ0ρ0xx‖L∞∫t0‖uxt‖20dτ≤P(0)+CtP(sup0≤τ≤tE(τ)). | (3.20) |
The first term on the right side of (3.18) is estimated as follows:
‖12ut‖20≤C‖ut‖20=C‖ut(0)+∫t0uttdτ‖20≤P(0)+CtP(sup0≤τ≤tE(τ)). | (3.21) |
Similarly, we have the estimates of the other terms on the ride side of (3.18) as
‖ρ0(η−3x−1)uxx‖20≤C∫t0‖ux‖2L∞dτ‖ρ0uxx‖20≤CtP(sup0≤τ≤tE(τ)), |
‖2ρ0x(η−3x−1)ux‖20≤C∫t0‖ux‖2L∞dτ‖ux‖20≤CtP(sup0≤τ≤tE(τ)), |
and
‖3ρ0η−4xuxηxx‖20≤C∫t0‖ρ0uxx‖20dτ‖ux‖2L∞≤CtP(sup0≤τ≤tE(τ)). |
Finally, we have for the last term on the ride side of (3.18)
‖12Gt‖20≤C‖Gt‖20≤C‖u‖20+C‖ux‖20=C‖u(0)+∫t0utdτ‖20+C‖ux(0)+∫t0uxtdτ‖20≤P(0)+CtP(sup0≤τ≤tE(τ)). | (3.22) |
From (3.18)–(3.22), we have
‖ρ0uxx‖20+‖ux‖20≤‖P(0)+CtP(sup0≤τ≤tE(τ)). | (3.23) |
Step 2. Estimate of ‖(ρ0uxxt,uxt)‖20.
Taking ∂t over (3.17), we have
ρ0uxxt+2ρ0xuxt=12utt+6ρ0η−4xuxuxx−ρ0(η−3x−1)uxxt+6ρ0xη−4xu2x−2ρ0x(η−3x−1)uxt−12ρ0η−5xu2xηxx+3ρ0η−4xuxtηxx−12Gtt. | (3.24) |
Taking L2-norm, we have
‖ρ0uxxt+2ρ0xuxt‖20≤‖12utt‖20+‖6ρ0η−4xuxuxx‖20+‖ρ0(η−3x−1)uxxt‖20+‖6ρ0xη−4xu2x‖20+‖2ρ0x(η−3x−1)uxt‖20+‖12ρ0η−5xu2xηxx‖20+‖3ρ0η−4xuxtηxx‖20+‖12Gtt‖20. | (3.25) |
The first term on the right side of (3.25) is estimated as follows:
‖12utt‖20≤C‖utt‖20≤C∫10ρ20(u2tt+u2xtt)dx≤P(0)+C∫t0‖ρ0uttt‖20dτ+C∫10ρ20u2xttdx≤P(0)+CtP(sup0≤τ≤tE(τ)). | (3.26) |
The second term on the right side of (3.25) is
‖6ρ0η−4xuxuxx‖20≤C‖ρ0ux(0)(uxx(0)+∫t0uxxtdτ)‖20+C‖ρ0∫t0uxtdτuxx‖20≤P(0)+CtP(sup0≤τ≤tE(τ)). | (3.27) |
Similarly, we have
‖ρ0(η−3x−1)uxxt‖20≤C‖ρ0∫t0uxdτuxxt‖20≤C‖ρ0uxxt‖20∫t0‖ux‖2L∞dτ≤CtP(sup0≤τ≤tE(τ)), |
and
‖6ρ0xη−4xu2x‖20≤C‖ux(0)‖4L∞+C‖ux(0)‖2L∞∫t0‖uxt‖20dτ+C‖ux‖2L∞∫t0‖uxt‖20dτ≤P(0)+CtP(sup0≤τ≤tE(τ)). |
We turn to estimate the seventh term on the ride side of (3.25) as
‖12Gtt‖20≤C(‖u‖2L∞+‖ut‖L2+‖u‖L∞‖ux‖L2+‖uxt‖L2)≤P(0)+CtP(sup0≤τ≤tE(τ)). |
We can also estimate the other terms on the right side of (3.25) and obtain similar to (3.23)
‖ρ0uxxt‖20+‖uxt‖20≤P(0)+CtP(sup0≤τ≤tE(τ)). | (3.28) |
Step 3. Estimate of ‖(ρ0uxxx,uxx)‖20.
Taking ∂x over (3.17), we have
ρ0uxxx+3ρ0xuxx=12uxt−3ρ0x(η−3x−1)uxx+3ρ0η−4xηxxuxx−ρ0(η−3x−1)uxxx−2ρ0xx(η−3x−2)ux+9ρ0xη−4xηxxux−12ρ0η−5xη2xxux+3ρ0η−4xηxxxux−12Gtx. | (3.29) |
Taking L2-norm, we have
‖ρ0uxxx+3ρ0xuxx‖20≤‖12uxt‖20+‖3ρ0x(η−3x−1)uxx‖20+‖3ρ0η−4xηxxuxx‖20+‖ρ0(η−3x−1)uxx‖20+‖2ρ0xx(η−3x−2)ux‖20+‖3ρ0xη−4xηxxux‖20+‖12ρ0η−5xη2xxux‖20+‖3ρ0η−4xηxxxux‖20+‖12Gtx‖20. | (3.30) |
The estimate for the third term on the right-hand side of (3.30) is given by
‖3ρ0η−4xηxxuxx‖20≤C‖ρ0∫t0uxxdτuxx‖20≤C‖uxx‖20∫t0‖ρ0uxx‖2L∞dτ≤CtP(sup0≤τ≤tE(τ)). |
We make the following procedure for the seventh term on the right-hand side of (3.30)
‖12ρ0η−5xη2xxux‖20≤C‖ρ0η2xxux‖20≤C‖ρ0(∫t0uxxdτ)2ux‖20≤C‖ux‖2L∞∫t0‖ρ0uxx‖2L∞dτ∫t0‖uxx‖20dτ≤CtP(sup0≤τ≤tE(τ)). |
Considering the eighth term on the right-hand side of (3.30), we can obtain the following estimate
‖3ρ0η−4xηxxxux‖20≤C‖ρ0∫t0uxxxdτux‖20≤C‖ux‖2L∞∫t0‖ρ0uxxx‖20dτ≤CtP(sup0≤τ≤tE(τ)). |
We can control the right-hand side of (3.30) by a similar estimate to (3.28), and obtain
‖ρ0uxxx‖20+‖uxx‖20≤P(0)+CtP(sup0≤τ≤tE(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(sup0≤τ≤tE(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=η1−η2,Rt=U=u1−u2. | (4.3) |
Substituting (4.3) into (2.7) and subtracting the resulting equations, we write the resulting equation as
ρ0(u1−u2)+(ρ20η21x−ρ20η22x)x=12ρ0∫1x[D(η1)η1y−D(η2)η2y]dy−12ρ0∫x0[D(η1)η1y−D(η2)η2y]dy. | (4.4) |
By a straightforward calculation, we can obtain
ρ0U−(ρ20RxG1)x=12ρ0∫1x[D(η1)Ry+G2R]dy−12ρ0∫x0[D(η2)Ry+G3R]dy, | (4.5) |
where
G1=η1x+η2xη21xη22x,G2=η2x∫10Dη[η2+μ(η1−η2)]dμ,G3=η1x∫10Dη[η2+μ(η1−η2)]dμ. |
Due to (2.15), there exists a positive constant K0 such that
‖ηx‖L∞+‖ux‖L∞+‖Dη‖L∞≤K0,D(η)≤Cρ0,3∑i=1‖Gi‖L∞≤C(K0),‖∂tG1‖L∞≤C(K0). | (4.6) |
Multiplying (4.5) by R, integrating the resultant equation over (0,t)×(0,1), then the integration by parts implies
12∫10ρ0R2dx+∫t0∫10ρ20R2xG1dxds=12∫t0∫10ρ0∫1x[D(η1)Ry+G2R]dyRdxds−12∫t0∫10ρ0∫x0[D(η2)Ry+G3R]dyRdxds. | (4.7) |
From (2.14), we have
|12∫t0∫10ρ0∫1x[D(η1)Ry+G2R]dyRdxds|≤C∫t0∫10ρ0R2dxds+C∫t0∫10ρ0{∫1x[D(η1)Ry+G2R]dy}2dxds≤C∫t0‖ρ120R‖20ds+C∫t0(‖ρ0Rx‖20+‖ρ120R‖20)ds≤C∫t0(‖ρ0Rx‖20+‖ρ120R‖20)ds. | (4.8) |
Similarly, the second term on the ride side of (4.7) can be controlled by
C∫t0(‖ρ0Rx‖20+‖ρ120R‖20)ds. |
Thus,
12∫10ρ0R2dxds+∫t0∫10ρ20R2xG1dxds≤C∫t0(‖ρ0Rx‖20+‖ρ120R‖20)ds. | (4.9) |
Multiplying (4.5) by Uand integration over (0,t)×(0,1), we have similar to (4.7)
∫t0∫10ρ0U2dxds+12∫10ρ20R2xG1dx=12∫t0∫10ρ0∫1x[D(η1)Ry+G2R]dyUdxds−12∫t0∫10ρ0∫x0[D(η2)Ry+G3R]dyUdxds+12∫t0∫10ρ20R2xG1dxds. | (4.10) |
Similar to (4.8), it follows that
|12∫t0∫10ρ0∫1x[D(η1)Ry+G2R]dyUdxds|≤ε∫t0∫10ρ0U2dxds+C∫t0∫10ρ0{∫1x[D(η1)Ry+G2R]dy}2dxds≤ε∫t0∫10ρ0U2dxds+C∫t0‖ρ0Rx‖20+(‖ρ120R‖20)ds. |
Thus, we have
∫t0∫10ρ0U2dxds+12∫10ρ20R2xG1dx≤ε∫t0∫10ρ0U2dxds+C∫t0‖ρ0Rx‖20ds+‖ρ120R‖20. | (4.11) |
From (4.9) and (4.11), we obtain
∫t0∫10ρ0U2dxds+∫t0∫10ρ20R2xG1dxds+12∫10ρ0R2dx+12∫10ρ20R2xG1dx≤C(K0)∫t0(‖ρ0Rx‖20+‖ρ120R‖20)ds. |
By applying the Gronwall inequality, it holds that
∫10[ρ0(η1−η2)2+ρ20(η1x−η2x)2]dx≤0, |
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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