Abstract
In this paper, we study the global existence of solutions to the Vlasov–Poisson–Fokker–Planck system in the whole space by using the refined energy method. In the proof, the a priori estimates on the macroscopic and microscopic components of solutions are obtained by use of the macroscopic balance laws. As a by-product, the algebraic decay rate of solutions converge to the global Maxwellian, which established by employing the Fourier analysis.
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1 Introduction
We are concerned with the following Vlasov–Poisson–Fokker–Planck system
with initial data
where \(F(t,x,v)\) is the distribution function of particles at time \(t\geq 0\), position \(x=(x_{1},x_{2},x_{3})\in \mathbb{R}^{3}\) with velocity \(v=(v_{1},v_{2},v_{3})\in \mathbb{R}^{3}\). The potential function \(\phi =\phi (t,x)\) is coupled with the distribution function \(F(t,x,v)\) through the Poisson equation. The Fokker–Planck operator \(L_{FP}\) is defined by
We next consider the global solutions to Eq. (1.1) near a global Maxwellian \(\mu (v)=(2\pi )^{-\frac{3}{2}}e^{-\frac{|v|^{2}}{2}}\). The perturbation \(f(t,x,v)\) to \(\mu \) is defined by \(F=\mu +\mu ^{\frac{1}{2}}f\). Then Eq. (1.1) for the perturbation \(f(t,x,v)\) can be rewritten as
with initial data
The Fokker–Planck operator is given by
For any fixed \((t,x)\), we define the \(v\)-orthogonal projection
by
where \(a,b=(b_{1},b_{2},b_{3})\) are called the coefficient of the macroscopic component of \(Pf\), and evidently, \(a(t,x)=\langle \mu ^{\frac{1}{2}},f\rangle \), and \(b(t,x)=\langle v\mu ^{\frac{1}{2}},f\rangle \).
For fixed \((t,x)\), \(f(t,x,v)\) can be uniquely decomposed as
where \(I\) denotes the identity operator, \(Pf\) and \(\{I-P\}f\) are called the macroscopic and the microscopic component of \(f\), respectively.
For any function \(f(t,x,v)\), we denote
then \(P\) can be written as \(P=P_{0}\oplus P_{1}\).
Notations. Throughout this paper, we assume that \(N\geq 4\), and \(C\) denotes a positive constant which may change from line to line and only depends on \(\eta \) in some place. In addition, \(A\sim B\) means that there exists a positive constant \(c>0\) such that \(cB\leq A\leq \frac{1}{c}B\). We use \(\langle \cdot ,\cdot \rangle \) to denote the standard \(L^{2}\) inner product in \(\mathbb{R}^{3}_{v}\), and \((\cdot ,\cdot )\) to denote the \(L^{2}\) inner product in \(\mathbb{R}^{3}_{x}\times \mathbb{R}^{3}_{v}\) or \(\mathbb{R}^{3}_{x}\). The corresponding norms are denoted by \(|\cdot |_{2}\) and \(\|\cdot \|\), respectively. Let the multi-indices \(\alpha =(\alpha _{1},\alpha _{2},\alpha _{3})\), and \(\beta =(\beta _{1},\beta _{2},\beta _{3})\), we denote \(\partial ^{\alpha }_{\beta }=\partial ^{\alpha _{1}}_{x_{1}}\partial ^{ \alpha _{2}}_{x_{2}}\partial ^{\alpha _{3}}_{x_{3}}\partial ^{\beta _{1}}_{v_{1}} \partial ^{\beta _{2}}_{v_{2}}\partial ^{\beta _{3}}_{v_{3}}\). The length of \(\alpha \) and \(\beta \) denote by \(|\alpha |=\alpha _{1}+ \alpha _{2}+\alpha _{3}\) and \(|\beta |=\beta _{1}+\beta _{2}+\beta _{3}\), respectively. \(\beta \leq \alpha \) means that \(\beta _{j}\leq \alpha _{j}\) for \(j=1,2,3\), while \(\beta <\alpha \) means that \(\beta \leq \alpha \) and \(|\beta |<|\alpha |\). We use \(C^{\beta }_{\alpha }\) to denote the usual binomial coefficient. Finally, we use \(H^{N}\) to denote the Sobolev space \(H^{N}(\mathbb{R}^{3}_{x}\times \mathbb{R}^{3}_{v})\) or \(H^{N}(\mathbb{R}^{3}_{x})\).
For the velocity weight function \(\nu =\nu (v)\) is denoted by \(\nu (v)= 1+|v|^{2}\), we define
The instant energy functional
and the dissipation rate
In the following, we define the space \(Z_{1}=L^{2}(\mathbb{R}^{3}_{v} ;L^{1}(\mathbb{R}^{3}_{x}))\) with the norm
For any integrable function \(f:\mathbb{R}^{3}\rightarrow \mathbb{R}\), we define the Fourier transform as follows
where \(x\cdot \xi =\sum ^{3}_{j=1}x_{j}\xi _{j}\), for \(\xi \in \mathbb{R}^{3}\), and \(i=\sqrt{-1}\in \mathbb{C}\) is the imaginary unit. And the dot product \(a\cdot \bar{b}=(a\mid b)\) for any \(a,b\in \mathbb{C}^{3}\).
Our main result is stated as follows.
Theorem 1.1
Let \(F_{0}(x,v)=\mu +\mu ^{\frac{1}{2}}f_{0}(x,v)\geq 0\), suppose that \(\mathcal{E}_{N}(f_{0})\) is small enough. Then the system (1.3) has a unique global smooth solution \(f(t,x,v)\), which satisfies
and the Lyapunov-type inequality
Moreover, if we further assume that \(\|f_{0}\|_{Z_{1}}\) is bounded, then the algebraic decay rate
holds for any \(t\geq 0\).
Remark 1.1
In [17] and [18], the authors obtained the following Lyapunov-type inequality
Since \(\mathcal{E}_{N}(t)\leq C\mathcal{D}_{N}(t)\), it follows that
where \(\mathcal{E}_{N}(t)\sim \sum _{|\alpha |\leq N}(\|\partial ^{ \alpha }f\|^{2}+\|\partial ^{\alpha }\nabla \phi \|^{2})\) in [17], and \(\mathcal{E}_{N}(t)\sim \sum _{|\alpha |\leq N}\|\partial ^{ \alpha }f\|^{2}+\|\nabla \phi \|^{2}\) in [18]. For the case of \(|\beta |\neq 0\), the method to deal with problems is more complicated. Moreover, our decay result is obtained by using the Fourier analysis, and their is just a direct result of Lyapunov-type inequality.
Remark 1.2
By the elliptic theory, one has
it follows from (1.7) and (1.8) that there exist constants \(C_{1}>0\) and \(C_{2}>0\), such that
By virtue of (1.10), we can get the same result as [17] and [18].
At the end of this section, we briefly review the existence theory for the Vlasov–Poisson–Fokker–Planck (VPFP for short) system. For this system, there have been many literatures on the global existence of weak solutions, classic solutions, regular solutions, smooth solutions and time-periodic solutions and so on. For example, Carrillo [5] and Victory [22], they constructed the global weak solutions to the VPFP system. For the classical solutions, Hwang and Jang [17] established the global existence and the exponential time decay to the VPFP system by taking advantage of the standard energy method [14]. And in the relativistic sense, Luo and Yu [18] also constructed global solutions of the VPFP system and obtained exponential time decay by using a new energy method developed by Yang and Yu [25,26,27,28] through the combination of the Kawashima compensating function and the standard energy method. In [19], Ono established the global existence of regular solutions to the VPFP system. In [2], Bouchut proved the existence and uniqueness of global smooth solutions in \(L^{1}({\mathbb{R}^{3}})\) and obtained the smoothing effect in [3]. In [11], Duan and Liu studied the existence and uniqueness of the time-periodic solutions to the VPFP system by using Serrin’s method. Besides the results mentioned above, the asymptotic behavior and the long-time behavior of solutions to the VPFP system, we can refer to [1, 4, 7] and [21]. For other topics related to the VPFP system, the interested readers can also refer to [6, 9, 10, 13, 16, 20, 23] and references therein.
In this paper, motivated by [12], and by using the refined energy method, which is based on the macro–micro decomposition near global Maxwellians, we can also get the global classical solutions of the VPFP system, and present the algebraic time decay of solutions which is different from the exponential decay results in Luo et al. [18] and Hwang et al. [17]. Compared with [18], we didn’t use the Kawashima compensating function, and with [17], the instant energy functional and the dissipation only included the pure spatial derivatives, but we contained the spatial and the velocity derivatives. In such case, we will deal with the complex space-velocity-mixed derivatives estimate. Moreover, it should be pointed out that the time rate of convergence to equilibrium is an important topic in the mathematical theory of the physical background. As Villani [24] said that there exist general structures in which the interaction between a conservative part and a degenerate dissipative part lead to convergence to equilibrium, where this property was called hypocoercivity. In Theorem 1.1, we give a concrete example of the hypocoercivity property for the VPFP system in the framework of perturbations.
Finally, before concluding this section, we simply sketch the main ideas used in obtaining our results. Using the macro–micro decomposition and the dissipative properties of \(L_{FP}\), one can get the weighted energy estimates which are the estimates of the microscopic component, and the estimate of the macroscopic component can be obtained by defining a temporal energy functional. It is worth pointing out that we also need to the dissipation of \(\nabla _{x}\phi \), which is different from the reference [12]. Therefore, with the help of the uniform-in-time estimate, the global existence of solutions can be proved by employing the standard continuity argument. On the other hand, we construct a linearized Cauchy problem with a non-homogeneous term to establishing the time decay of solutions by using the Fourier analysis.
The rest of this paper is organized as follows. In Sect. 2, we employ the macro–micro decomposition to obtaining the a prior energy estimate of the macroscopic component by defining a temporal energy functional. In Sect. 3, we list the dissipative properties of the linear Fokker–Planck operator \(L_{FP}\) and get the weighted energy estimates, which play an important role in establishing the global existence. Finally, we devote ourselves to obtaining the global existence and the algebraic rate of convergence of solutions in Sect. 4 and Sect. 5, respectively.
2 Macro–Micro Decomposition
In this section, we next shall obtain the dissipation rate of the right macroscopic term. Notice that the following equivalent relation
from Eq. (1.1), taking the velocity integration over \(\mathbb{R}^{3}\), and using the collision invariant property, we get the following local macroscopic balance laws
By using the perturbed expression of \(F\) and the decomposition (1.5), we obtain from the macroscopic balance laws (2.1) and \(\text{(1.3)}_{2}\) that
Now, we can rewrite \(\text{(1.3)}_{1}\) as
where
and
Define the high-order moment function \(A=(A_{jm})_{3\times 3}\) by
Applying \(A_{jm}\) to (2.3), it follows from \(\text{(2.2)}_{1}\) that
where the derivation of the system (2.4) similar to [12]. Hence, the details are omitted for simplicity.
In what follows, we introduce the temporal energy functional \(\mathcal{E}_{0}(f)\) by
to obtaining the dissipation of \(\|\nabla _{x}(a,b)\|^{2}_{H^{N-1}}\).
Lemma 2.1
For smooth solutions of the system (1.3), we have
Proof
Using integration by parts and \(\text{(2.4)}_{1}\), we have
We denote the second and third terms of the last equal sign by \(I_{1}\) and \(I_{2}\), respectively. For \(I_{1}\) and \(I_{2}\), by the Sobolev imbedding, i.e. \(L^{3}(\mathbb{R}^{3}) \hookrightarrow H^{1}(\mathbb{R}^{3})\) and \(L^{6}(\mathbb{R}^{3}) \hookrightarrow \dot{H}^{1}(\mathbb{R}^{3})\), it holds that
Thus, one has
and
where we used \(\text{(2.2)}_{2}\), integration by parts, and the following estimates
and
By collecting the above estimates and taking summation over \(|\alpha |\leq N-1\), we obtain
Next, we shall give the dissipation of \(\sum _{1\leq |\alpha |\leq N}\|\partial ^{\alpha }a\|^{2}\).
Using \(\text{(2.2)}_{2}\) again, we have
For \(I_{3}\) and \(I_{4}\), we have \(I_{3}=\frac{d}{dt}\int _{\mathbb{R}^{3}}\partial ^{\alpha }a\partial ^{ \alpha }\nabla _{x}\cdot b~dx\), and
For \(I_{5}\), similar as \(I_{1}\), one has
Combining the above estimates and taking summation over \(|\alpha |\leq N-1\), we obtain
Therefore, the desired estimate (2.5) follows from (2.6) and (2.7). □
In what follows, we introduce an equivalent energy functional
We now give the dissipation of \(\|\nabla _{x}\phi \|^{2}_{H^{N}}\), let \(|\alpha |\leq N\), by applying \(\partial ^{\alpha }\) to \(\text{(2.2)}_{2}\) and taking the inner product of the resulting equation with \(\partial ^{\alpha }\nabla _{x}\phi \) over \(\mathbb{R}^{3}\) and using \(\text{(2.2)}_{3}\), we obtain
For \(I_{6}\), one has
Denote the right second term by \(I'_{6}\) of \(I_{6}\), using \(\text{(2.2)}_{1}\), we have
where we used the operator \(\nabla _{x}\Delta ^{-1}_{x}\nabla _{x}\cdot \) is bounded from \(L^{2}\) to \(L^{2}\).
Thus,
For \(I_{7}\), when \(\alpha =0\),
when \(1\leq |\alpha |\leq N\),
For \(I_{8}\), using integration by parts, we get
For \(I_{9}\) and \(I_{10}\), by direct computation, one has
Collecting the above estimates, and using Young’s inequality, and then taking summation over \(|\alpha |\leq N\), we obtain
Remark 2.1
Here, we need the dissipation of \(\nabla _{x}\phi \), because the estimate (2.5) includes this term, which can’t be absorbed by other terms so that we can’t establish the Lyapunov-type inequality to proving the global existence of solutions to the VPFP system.
3 Energy Estimates
In this section, we shall establish the energy estimates in order to obtain the global existence of solutions. For the linear Fokker–Planck operator \(L_{FP}\), its the dissipative properties are listed as follows, which its proofs, we can refer to [8] and [12].
Lemma 3.1
\(L_{FP}\) is a self-adjoint operator, and the following conclusions hold
-
(1)
There exists a constant \(\lambda >0\) such that the coercivity inequality
$$ -\langle L_{FP}f,f\rangle \geq \lambda |\{I-P\}f|^{2}_{\nu }+|b|^{2} $$holds.
-
(2)
There exists a constant \(\lambda _{0}>0\) such that
$$ -\langle L_{FP}f,f\rangle \geq \lambda _{0}|\{I-P_{0}\}f|^{2}_{\nu }. $$
Remark 3.1
Using the self-adjoint of \(L_{FP}\) and (ii), then (i) holds.
Lemma 3.2
For smooth solutions of the system (1.3), we have
Proof
For Eq. \(\text{(1.3)}_{1}\), taking the inner product of it with \(f\) over \(\mathbb{R}^{3}\times \mathbb{R}^{3}\) with respect to \(x\) and \(v\), one has
We now estimate terms in (3.2). For the second term on the left side of (3.2), we get
where \(\text{(2.2)}_{1}\) and \(\text{(2.2)}_{3}\) are used.
For the first and second terms on the right side of (3.2), using the decomposition of \(f\) in (1.6), we obtain
Next, we deal with the term \(I_{i}\) (\(i=1,2,3\)). For \(I_{2}\) and \(I_{3}\), we have
since
where we used the Minkowski inequality and the Sobolev imbedding theorem.
And
For \(I_{1}\), one has
By Lemma 3.1, we see that
Combining the above estimates, we obtain the desired estimated (3.1). This completes the proof of Lemma 3.2. □
Lemma 3.3
For smooth solutions of the system (1.3), we have
Proof
Applying \(\partial ^{\alpha }(1\leq |\alpha |\leq N)\) to Eq. \(\text{(1.3)}_{1}\), we get
Taking the inner product of (3.5) with \(\partial ^{\alpha }f\) over \(\mathbb{R}^{3}\times \mathbb{R}^{3}\), similarly, one has
For the fourth term of the left side of (3.5), using the decomposition of \(f\), we have
The terms of (3.6) can be estimated as follows
When \(|\alpha '|\leq \frac{N}{2}\), one has
where the Sobolev imbedding is used. When \(|\alpha '|\geq \frac{N}{2}\), we similarly obtain
For the second term on the right side of (3.6), using the same procedure as above, we get
and
Thus, we obtain from the above estimates that
For the last term on the left side of (3.5), one has
For \(I_{5}\) and \(I_{6}\), similarly, we have
and
By Lemma 3.1, one has
Collecting the above estimates, and then taking summation over \(1\leq |\alpha |\leq N\), which yields the desired estimate (3.4). We have thus completed the proof of Lemma 3.3. □
Remark 3.2
From Lemmas 3.2 and 3.3, we can obtain the dissipation of \(\|b\|^{2}_{H^{N}}\).
Lemma 3.4
Let \(1\leq k\leq N\), for smooth solutions of the system (1.3), we have
where \(\chi _{A}\) denotes the characteristic function of a set \(A\).
Proof
Applying the microscopic projection \(\{I-P\}\) to Eq. (1.3), one has
where \(\{I-P\}P=0\) and \(\{I-P\}v\mu ^{\frac{1}{2}}=0\) are used.
We can further obtain from the above equation that
where we used \(\{I-P\}L_{FP}=L_{FP}\{I-P\}\).
For \(1\leq k\leq N\), we apply \(\partial ^{\alpha }_{\beta }(|\alpha |+|\beta |\leq N,|\beta |=k)\) to Eq. (3.8), and take the inner product of the resulting equation with \(\partial ^{\alpha }_{\beta }\{I-P\}f\) over \(\mathbb{R}^{3}\times \mathbb{R}^{3}\), we have
Next, we estimate terms in (3.9) one by one. For \(I_{7}\), using integration by parts, we get
We deal with the term \(I'_{7}\) and \(I''_{7}\) as follows
and
For \(I_{8}\), using the commutator operator, i.e. \([A,B]=AB-BA\), one has
where we used \([\partial _{\beta },L_{FP}]=[\partial _{\beta },-|v|^{2}]\).
For \(I'_{8}\) and \(I''_{8}\), we obtain
and
where we have used Lemma 3.1.
For \(I_{9}\), similar to Lemma 3.3, we have
For \(I_{10}\) and \(I_{11}\), one has
and
Combining the above estimates, and taking summation over \(|\alpha |+|\beta |\leq N, |\beta |=k\), and then choosing \(\eta >0\) small enough, we obtain the desired estimate (3.7). We have thus proved Lemma 3.4. □
4 Global Existence
In this section, in order to obtain the global existence and uniqueness of solutions to the system (1.3)–(1.4), we first study the local existence and uniqueness of it. The iterative sequence \(\{f^{n}(t,x,v)\}^{\infty }_{n=0}\) of solutions to the following system
Here \(n\geq 0\), and \(f^{0}=0\) is the starting value of iteration. The solution space \(X(0,T;M)\) defined by
The main result of this section is as follows.
Theorem 4.1
Let \(N\geq 4\), there exist \(\epsilon _{0}>0\), \(T^{*}>0\) and \(M_{0}>0\) such that if \(f_{0}\in H^{N}(\mathbb{R}^{3}\times \mathbb{R}^{3})\) with \(F_{0}=\mu +\sqrt{\mu }f_{0}\geq 0\) and \(\mathcal{E}_{N}(f_{0})\leq \epsilon _{0}\), then for each \(n\geq 1\), \(f^{n}\) is well-defined with \(f^{n}\in X(0,T^{*};M_{0})\). Moreover, one has the following conclusions
-
(1)
\(\{f^{n}\}_{n\geq 0}\) is a Cauchy sequence in the Banach space \(C([0,T^{*}];H^{N-1}(\mathbb{R}^{3}\times \mathbb{R}^{3}))\).
-
(2)
The corresponding limit function denoted by \(f\) belongs to \(X(0,T^{*};M_{0})\), and \(f\) is a solution to the Cauchy problem (1.3)–(1.4).
-
(3)
\(f\) is unique in \(X(0,T^{*};M_{0})\) for the Cauchy problem (1.3)–(1.4).
Proof
Using induction, we assume that \(f^{n}\in X(0,T^{*};M_{0})\) holds true for \(n\geq 0\). In order to take the forthcoming calculations, one can suppose that \(f^{n}\) is smooth enough. Otherwise, one can study the following regularized iterative system
for any \(\epsilon >0\), where \(f^{\epsilon }_{0}\) is a smooth approximation of \(f_{0}\). One can carry out the following same procedures for \(f^{n,\epsilon }\) and pass to the limit by letting \(\epsilon \rightarrow 0\).
Applying \(\partial ^{\alpha }(|\alpha |\leq N)\) to \(\text{(4.1)}_{1}\), multiplying the result equation by \(\partial ^{\alpha }f^{n+1}\), and then taking integration over \(\mathbb{R}^{3}\times \mathbb{R}^{3}\) with respect to \(x,v\), one has
By a sample calculation, and taking summation over \(|\alpha |\leq N\), one has
Applying \(\{I-P\}\) and \(\partial ^{\alpha }_{\beta }(|\alpha |+|\beta |\leq N)\) to \(\text{(4.1)}_{1}\), successively, and then multiplying the result by \(\partial ^{\alpha }_{\beta }\{I-P\}f^{n+1}\), similarly as before, we obtain that
Combining (4.2) and (4.3), one has
Defining \(M_{n}(T)=\sup _{0\leq t\leq T}\mathcal{E}_{N}(f^{n}(t))\), by (4.4), then for any \(0\leq t\leq T\leq T^{*}\), we have
where we used the fact that
and
Letting \(C_{1}\sqrt{M_{n}(T)}\leq C_{1}M_{0}\leq \frac{\lambda _{0}}{2}\), and taking time integration to (4.5), one has
Choosing \(T^{*}=\frac{1}{2C_{2}}\) and \(\epsilon _{0}=\frac{1}{2}M_{0}\), then
therefore, we obtain that \(\sup _{0\leq t\leq T^{*}}\mathcal{E}_{N}(f^{n+1}(t))\leq M_{0}\).
Next, similarly to (4.5), for any \(0\leq s\leq t \leq T^{*}\), one has
by (4.6), \(\|\partial ^{\alpha }_{\beta }f^{n+1}\|^{2}_{\nu }\) is integrable over \([0,T^{*}]\), thus \(f^{n}\in X(0,T^{*};M_{0})\) holds true for \(n+1\). Therefore, by the inductive hypothesis, the conclusion holds true.
Now, we study the following system
Similarly to (4.5), one has
where we used the Sobolev embedding \(H^{2}(\mathbb{R}^{3})\hookrightarrow L^{\infty }(\mathbb{R}^{3})\). Since \(\mathcal{E}_{N}(f_{0})\), \(T^{*},M_{0}\) are sufficiently small, it follows from (4.6) that
is also sufficiently small. Thus, there exists a constant \(\mu <1\), such that
which implies that \(\{f^{n}\}_{n\geq 0}\) is a Cauchy sequence in the Banach space \(C([0,T^{*}];H^{N-1}(\mathbb{R}^{3}\times \mathbb{R}^{3}))\). Therefore, there exists a limit function \(f\in C([0,T^{*}];H^{N-1}(\mathbb{R}^{3}\times \mathbb{R}^{3}))\), such that \(f\) is a solution to the Cauchy problem (1.3)–(1.4) by letting \(n\rightarrow \infty \). From the fact that the point-wise convergence of \(f^{n}\) to \(f\) by the Sobolev embedding theorem, the lower semi-continuity of the norms, and \(f^{n}\in X(0,T^{*};M_{0})\), it follows that
Similarly to the proof of (4.7), one has \(f\in C([0,T^{*}];H^{N}(\mathbb{R}^{3}\times \mathbb{R}^{3}))\), thus, one can conclude that \(f\in X(0,T^{*};M_{0})\).
Finally, let \(g\in X(0,T^{*};M_{0})\) be another solution to the Cauchy problem (1.3)–(1.4). Taking the similar process of the proof of (4.8), one has
for \(\mu <1\). Then, one can deduce that \(f\equiv g\). This completes the proof of Theorem 4.1. □
In this moment, in order to obtain the uniform-in-time estimate, we assume that the Cauchy problem of the system (1.3)–(1.4) has a smooth solution \(f(t,x,v)\) over \(0\leq t\leq T\) for \(0< T<\infty \), which satisfies
where \(\epsilon _{0}\) is a sufficiently small constant. Now, we can apply Lemmas 3.2–3.4 to \(f(t,x,v)\) and give proof of the first part in Theorem 1.1.
Proof of global existence and uniqueness in Theorem 1.1
First, from (3.1) and (3.4), we obtain
By adding \(M_{0}\times \text{(2.8)}\) to (2.5), and then adding \(M_{1}\times \text{(4.10)}\) to the resulting equation, we get
where \(M_{0}\) and \(M_{1}\) large enough.
On the other hand, it follows from (4.9) and the linear combination of (3.7) over \(1\leq k\leq N\) that
for some properly positive constants \(C_{k}\).
By letting \(\epsilon _{0}\) small enough, the further linear combination of (4.12) and (4.11) yields the following Lyapunov-type inequality
for any \(0\leq t\leq T\).
Now, by taking time integration to (4.13), we obtain
By the standard continuity argument, the global existence and uniqueness of solutions to the system (1.3)–(1.4) follows from the above uniform-in-time estimate together with the local existence obtained in Theorem 4.1, and for any \(t\geq 0\), (1.9)–(1.10) hold. The concrete details can refer to [14], here we omit it for simplicity. This completes the proof of global existence and uniqueness in Theorem 1.1. □
5 Time Decay
In this section, we devote ourselves to establishing the time decay of solutions \(f(t,x,v)\) to the VPFP system (1.1)–(1.2). Now, we consider the following Cauchy problem
where \(h=h(t,x,v)\) is given, and the linear operator \(\mathbf{B}\) is defined by
If \(h=0\), we denote \(e^{\mathbf{B}t}\) as the solution operator to the Cauchy problem \(\text{(5.1)}_{1}\), then the solution to the Cauchy problem (5.1) can be written as follows
With the above preparation, we have the following decay results.
Theorem 5.1
-
(1)
Let \(\alpha \geq \alpha '\geq 0\), and the initial data \(f_{0}\) satisfies \(\partial ^{\alpha }f_{0}\in L^{2}(\mathbb{R}^{3}\times \mathbb{R}^{3})\) and \(\partial ^{\alpha '}f_{0}\in Z_{1}\), we have
$$ \|\partial ^{\alpha }e^{\mathbf{B}t}f_{0}\|\leq C(1+t)^{- \frac{2k+3}{4}} (\|\partial ^{\alpha }f_{0}\|+\|\partial ^{\alpha '}f_{0} \|_{Z_{1}}),\quad \textit{for any}~t>0, $$(5.2)where \(k=|\alpha -\alpha '|\) and the constant \(C>0\) only depends on \(m\).
-
(2)
Let \(\alpha \geq \alpha '\geq 0\), and the non-homogeneous term \(h\) satisfies \(\nu ^{-\frac{1}{2}}\partial ^{\alpha }h\in L^{2}(\mathbb{R}^{3} \times \mathbb{R}^{3})\) and \(\nu ^{-\frac{1}{2}}\partial ^{\alpha '}h\in Z_{1}\), and if further assume that
$$ \int _{\mathbb{R}^{3}}\mu ^{\frac{1}{2}}hdv=\int _{\mathbb{R}^{3}}v \mu ^{\frac{1}{2}}hdv=0,\quad (t,x)\in \mathbb{R}_{+}\times \mathbb{R}^{3}. $$(5.3)Then, we have
$$ \Big\| \partial ^{\alpha }\int ^{t}_{0}e^{\mathbf{B}(t-s)}h(s)ds\Big\| ^{2} \leq C\int ^{t}_{0}(1+t-s)^{-\frac{2k+3}{2}} \Big(\|\nu ^{- \frac{1}{2}}\partial ^{\alpha }h(s)\|^{2} +\|\nu ^{-\frac{1}{2}} \partial ^{\alpha '}h(s)\|^{2}_{Z_{1}}\Big)ds, $$(5.4)for any \(t>0\), where \(k=|\alpha -\alpha '|\) and the constant \(C>0\) only depends on \(k\).
Remark 5.1
Notice that, it from the assumption (5.3) in (ii) follows that \(Ph=0\), which will be used later.
In what follows, we can further rewrite (5.1) as
Similarly as before, we obtain the following macroscopic balance laws:
where \(\ell =-v\cdot \nabla _{x}\{I-P\}f+L_{FP}f\).
Before providing proof of Theorem 5.1, by using the above balance laws, we have an important fact that the macroscopic coefficient \(b=(b_{1},b_{2},b_{3})\) satisfies an elliptic-type equation, which is initially observed in Guo [15]. Next, we describe it in the following lemma and omit its proof for brevity.
Lemma 5.1
For \(1\leq m\leq 3\), we have
Proof of Theorem 5.1
This proof is similar to Theorem 3.1 of [12], but we prove it for the convenience of the readers. By applying the Fourier transform to (5.6) with respect to \(x\), one has
and then by taking the inner product of the resulting equation with \(\bar{\hat{b}}_{m}\) yields
The estimates of \(I_{1}\) and \(I_{2}\) are as follows.
where we have used the following estimates
and
For \(I_{2}\), using the Fourier transform of \(\text{(5.5)}_{2}\), one has
thus, we have
Therefore, we obtain
For the dissipation of \(|\xi |^{2}|\hat{a}|^{2}\), by taking the inner product of (5.9) with \(-i\xi _{j}\bar{\hat{a}}\), we get
For the first and third terms on the left side of (5.11), using the Fourier transform of \(\text{(5.5)}_{1}\), one has
and
Thus, taking the real part of (5.11), we obtain
Define
then, it follows from (5.11) and (5.12) that
On the other hand, by using \(L_{FP}f=L_{FP}\{I-P\}f-b\cdot v\mu ^{\frac{1}{2}}\), and taking the Fourier transform \(\text{(5.1)}_{1}\), which yield
and further taking the product of the above equation with \(\bar{\hat{f}}\), we obtain
where we used (iii) of Lemma 3.1 and \(\{I-P_{0}\}\{I-P\}=\{I-P\}\).
For the right side term, since the condition \(Ph=0\), we have
thus, we get
By taking \(K\) large enough, we set \(\widetilde{E}(\hat{f})=K|\hat{f}|^{2}+ReE(\hat{f})\), and combine (5.13) and (5.14), then
Notice that \(\widetilde{E}(\hat{f})\sim |\hat{f}|^{2}_{2}\leq |\{I-P\}\hat{f}|^{2}_{ \nu } +|\hat{a}|^{2}+|\hat{b}|^{2}\), hence, we have
which implies that
where we used the Gronwall inequality. Finally, we get
Next, let \(h=0\), from (5.16), then
For \(I_{3}\), we have
since
and
where we used the property of the Fourier transform.
By a simple calculation, \(I_{4}\leq e^{-\lambda t/2}\|\partial ^{\alpha }f_{0}\|^{2}\).
Thus, it holds that
On the other hand, let the initial data \(f_{0}=0\), then
From (5.16), we obtain
By the same argument as above, it follows from (5.17) that the estimate (5.4) holds. The proof of Theorem 5.1 is now complete. □
Proof of time decay in Theorem 1.1
Let \(h=h_{1}+h_{2}\), where
and
where from integration by parts, it holds that
Next, we set
By Theorem 5.1 and the Lyapunov-type inequality (1.10), one has
where we have used the following estimates
From (1.10), one has
by the Gronwall inequality, then it follows from (5.18) that
Since the smallness of \(\|f_{0}\|_{H^{N}}\), we get
Thus, we have completed the proof of time decay in Theorem 1.1. □
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The work is supported by the National Natural Science Foundation of China under Grant No. 41962019. The author would like to thank the referee for the valuable comments and suggestions.
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Wang, X. Global Existence and Long-Time Behavior of Solutions to the Vlasov–Poisson–Fokker–Planck System. Acta Appl Math 170, 853–881 (2020). https://doi.org/10.1007/s10440-020-00361-7
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DOI: https://doi.org/10.1007/s10440-020-00361-7