Diffusive limit for a Boltzmann-like equation with non-conserved momentum
Raffaele Esposito, Pedro G. Garrido, Joel L. Lebowitz, Rossana Marra

TL;DR
This paper proves that a kinetic model with non-conserved momentum converges to a diffusive limit described by coupled diffusion equations for density and temperature, with explicit error estimates.
Contribution
It establishes the diffusive limit for a Boltzmann-like equation with non-conserved momentum, including rigorous error bounds.
Findings
The rescaled distribution converges to a Maxwellian with density and temperature solving coupled diffusion equations.
Explicit error estimates in $L^2_{x,v}$ norm are provided.
The model accounts for collisions with fixed scatterers and hard-sphere interactions.
Abstract
We consider a kinetic model whose evolution is described by a Boltzmann-like equation for the one-particle phase space distribution . There are hard-sphere collisions between the particles as well as collisions with randomly fixed scatterers. As a result, this evolution does not conserve momentum but only mass and energy. We prove that the diffusively rescaled , as tends to a Maxwellian , where and are solutions of coupled diffusion equations and estimate the error in .
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Diffusive limit for a Boltzmann-like equation with non-conserved momentum
R. Esposito
,Β
P. L. Garrido
,Β
J. L. Lebowitz
Β andΒ
R. Marra
Abstract.
We consider a kinetic model whose evolution is described by a Boltzmann-like equation for the one-particle phase space distribution . There are hard-sphere collisions between the particles as well as collisions with randomly fixed scatterers. As a result, this evolution does not conserve momentum but only mass and energy. We prove that the diffusively rescaled , as tends to a Maxwellian , where and are solutions of coupled diffusion equations and estimate the error in .
(R. E.) International Research Center M&MOCS, UniversitΓ dellβAquila, Italy
(P.G.)Instituto Carlos I de Fisica Teorica y Computacional. Universidad de Granada. E-18071 Granada, Spain
(J. L.)Departments. of Mathematics and Physics, Rutgers University, USA
(R. M.) Dipartimento di Fisica and UnitΓ INFN, UniversitΓ di Roma Tor Vergata, 00133 Roma, Italy
1. Introduction and results
We study a kinetic model investigated by Garrido and Lebowitz in [11] in which only the mass and the energy are conserved by the evolution but not the momentum. This models the flow of a gas (or fluid) in a porous medium. It can also be seen as the Grad-Boltzmann limit of a hard sphere system elastically scattered by randomly distributed obstacles. It thus serves as a simplified example for the derivation of macroscopic equations from mesoscopic kinetic ones: the number of conserved quantities is reduced from five to two. There are at present no rigorous derivations of hydrodynamic equations in the diffusive limit when there are five conserved quantities and density and temperature are space-time dependent to the lowest order. Here we extend the heuristic analysis of this system in two dimensions described in [11] and give a fully rigorous derivation of the appropriate coupled diffusion equations.
The model is defined in the following way:
Let be the three dimensional unit torus. The kinetic equation on is
[TABLE]
with , , where is the symmetrized Boltzmann collision operator for hard spheres [4] defined as
[TABLE]
with and is the hard spheres cross section and models elastic collisions with randomly distributed infinite mass scatterers at rest. is a linear operator conserving only mass and energy, not momentum, so that
[TABLE]
for any , but
[TABLE]
for some . We also require that the corresponding entropy dissipation is negative
[TABLE]
Letting be the local Maxwellian with , and possibly depending on space and time
[TABLE]
We set
[TABLE]
We can model the non momentum conserving collisions with the background by various choices of [11].
We prefer here, for simplicity of presentation, to consider the operator
[TABLE]
The results in this paper apply to all choices in [11]. Note that, since , if depends on only through . By the Boltzmann theorem, and vanishes if and only if . Moreover, if , we have also
[TABLE]
In fact, if , multiplying by and integrating, we obtain
[TABLE]
But both are non positive, so we must have and . The first implies . By the second of (1.7) then and we get the conclusion.
From now on we assume .
To look at the behavior of the solution on the diffusive space-time scale [5] we consider the equation for . so defined satisfies the equation
[TABLE]
and we seek for its solution in the form
[TABLE]
where .
Note that, by total mass and total energy conservation, there is no loss of generality in assuming
[TABLE]
We prove that, as , tends to the Maxwellian where and are solutions of the following set of two coupled diffusion equations for the density and the temperature :
[TABLE]
where are transport coefficients whose expressions are (independent of the index )
[TABLE]
[TABLE]
Here
[TABLE]
where
[TABLE]
We remark that the transport coefficients and diverge as because are in the null space of , and is not well defined on the function .
Moreover, we determine also as
[TABLE]
where , are solutions of linear diffusion equations such that
[TABLE]
, for , will be specified later.
The main result of this paper is the following
Theorem 1.1**.**
Let be fixed and assume that the solution to (3.20) and (3.21) have positive lower bounds and there is such that, for with ,
[TABLE]
Assume also that the initial value of is positive and satisfies (4.27) below. Then, if , (1.10) has a positive solution such that
[TABLE]
Here, for , the -norm is defined as
[TABLE]
2. Strategy of the proof
The proof of theorem (1.1) will be given in Section 4 and here we only present the main ideas of the proof.
Once the Maxwellian and the terms of the expansion , in (1.11) are computed, the main technical problem is to obtain bounds uniform in for the remainder , which solves a non linear problem. To deal with the non linearity we use an iterative procedure based on two steps. The first step is to study the linear problem obtained by pretending that the non linear term is computed using the solution of the previous step of the iteration. The aim is to bound the -norm of the solution to the linear problem (see Proposition 4.4). The novelty with respect to previous work using this ideas, e.g. [7], is the fact that the Maxwellian depends on through and . This produces a term singular in in the inequality for which has to be dealt with. The most dangerous part of this term, depending on (here is the projector on the space spanned by the conserved quantities) vanishes thanks to the fact that the Maxwellian has mean velocity .
The other terms which have to be dealt with contain a polynomial of degree three in which gives troubles for large velocities. To this end, following [10], we introduce a global Maxwellian with temperature given by the assumed strictly positive and bound the high velocity tail of in terms of the norm of . Then is bounded in by Proposition 4.3. The presence of in the energy inequality is a serious obstacle to obtaining a global in time statement. Theorem 1.1 is in fact established for arbitrary , but with constants depending on .
Once the linear problem is solved, we need to get bounds on the non linear term. Here we have another novelty with respect to [7]. In that paper the non linear term is bounded in terms of norms of and its time derivative , with and . Here we cannot use this method because the equation for involves a term which is too singular in . Therefore we can only use and norms. But the singularity of the norm of (see Proposition 4.3) has to be controlled by a sufficiently high power of in front of the non linear term and hence we need to look for a remainder in (1.11) of order while in [7] was sufficient. We remark that, as a consequence, in the present case we need to assume some regularity properties of the limiting solution, while in [7] the convergence is proved without such assumption.
Remark 2.1**.**
We conclude this section by observing that if the random collisions operator is absent (), the problem of deriving in a rigorous way hydrodynamic equations in the diffusive limit, with non homogeneous density and temperature at time zero, is completely open. A formal expansion shows (see e.g. [5, 2, 13]) that the limiting equations are different from the Navier-Stokes equations. In stationary non homogeneous situations there are few results, see for example [1].
3. The expansion
We start presenting the expansion. Following a strategy similar to [7], [8] (where only the first two terms of the expansion are considered) we look for a solution of the form (1.11),(1.12). By substituting (1.11) into equation (1.10) we get
[TABLE]
We now examine all the terms in the equation above. The most diverging term vanishes because is a local Maxwellian with vanishing mean velocity.
To cancel the diverging term of order we impose
[TABLE]
Since and , the previous equation has a solution under the solvability conditons
[TABLE]
But is odd in , so conditions (3.2) are satisfied and one can write the most general solution to (3.1) in the form
[TABLE]
where the second term is the component of in the null space of . One can choose , such that
[TABLE]
The term of order satisfies the equation
[TABLE]
This equation has a solution if the following solvability conditions are satisfied
[TABLE]
Hence
[TABLE]
By using the expression of in (3.3) the solvability conditions (3.6) provide two diffusion equations for the density and temperature. In fact, writing (3.6) explicitly we get
[TABLE]
[TABLE]
The last term in both equations vanishes because it is odd in . Thus, the equations reduce to
[TABLE]
[TABLE]
The term of order is canceled by requiring
[TABLE]
We use this to find :
[TABLE]
provided that
[TABLE]
Finally, we are left with an equation for which will be discussed later.
Now we proceed by finding the explicit expression of the hydrodynamic equations (3.10) and (3.11).
We have:
[TABLE]
[TABLE]
We notice that and are well defined since the functions and are in the space orthogonal to the null space of . We can use that is self-adjoint with respect to the scalar product with weight to write
[TABLE]
Define the transport coefficients:
[TABLE]
[TABLE]
For isotropy reasons .
Then, the previous equations take the form:
[TABLE]
[TABLE]
where is the internal energy density.
To relate the above transport coefficients to the Onsager coefficients, we introduce the fugacity (related to the chemical potential through ) given for the perfect gas in by and write the equations in the form
[TABLE]
[TABLE]
where
[TABLE]
[TABLE]
so that
[TABLE]
[TABLE]
By comparison,
[TABLE]
In [11] the form of the transport coefficients for a different choice of the linear Boltzmann operator and in dimension is discussed.
To get the regularity properties of the transport coefficients we can for example use the method in [3], where the eigenvalues of the linearized and the linear Boltzmann operators are studied by an expansion in spherical functions.
Plugging the expression for (3.3) and the one for (3.7) in the first equation of (3.14) we get
[TABLE]
The first and the third term in the first integral and the first term in the second integral do not give contribution. We are left with
[TABLE]
By using the relation and noting that by oddness, we get
[TABLE]
which is a linear diffusive non homogenous equation for
By proceeding in the same way starting from the second compatibility condition, we get a linear diffusive non homogeneous equation for .
The compatibility conditions (3.6), (3.14) thus turn out to be diffusion equations for , , and . On the other hand and are determined by the orthogonality condition (4.19) discussed in Section 4, which are also diffusion equations; the procedure to get the equations for them is the same and we omit it. and are determined by a different condition (4.20), also discussed in Section 4.
4. Proofs
In this technical section we construct a solution for the equation for the remainder and prove Theorem 1.1.
4.1. General setup
We need some notation. We denote
[TABLE]
Since , we have
[TABLE]
where
[TABLE]
Below, depending on the context, denotes the standard inner product in or in . As is well known (see e.g. [4]), the quadratic form is non negative and strictly positive if belongs to the orthogonal complement of the null space of , which is spanned by the orthonormal functions
[TABLE]
On the other hand, a direct check shows that there is such that
[TABLE]
Let be the null space of . By the previous observations we immediately conclude that it is the linear subspace spanned by the normalized vectors
[TABLE]
In fact, let us consider the quadratic form
[TABLE]
If then . Since the two terms in (4.7) are both non negative, then and . Thus and for . Hence is spanned by (4.6).
Denote by the projector on such a subspace and by the projector on the orthogonal subspace. Then
[TABLE]
For the Boltzmann collisions Grad proved (see [12]),
[TABLE]
where is a compact operator and satisfies the following bounds: there are positive and such that
[TABLE]
with . The statement can be easily extended to the present operator which can thus be decomposed as
[TABLE]
where is a compact operator and satisfies the following bounds which follow immediately from (1.8): there are positive and such that
[TABLE]
The following spectral inequality holds:
[TABLE]
for a positive and
[TABLE]
To prove (4.13), we note, as is well known (see e.g. [4]), that for the linear Boltzmann operator the following spectral inequality holds:
[TABLE]
where and . By (4.5) we obtain (4.13) with . Note that . Thus as .
The main core of the proof of Theorem 1.1 is the control of the remainder which satisfies the following equation
[TABLE]
where
[TABLE]
and
[TABLE]
For the estimate of it will be essential that the part of in the null space of vanishes. For this reason we also impose that
[TABLE]
[TABLE]
As before, (4.19) becomes a couple on linear non homogeneous parabolic equations.
Finally, we use the freedom of choice of and to ensure (4.20).
We have the following
Proposition 4.1**.**
Assume , with finite norms. Then, for any the equations (3.20) and (3.21) have smooth solutions. Moreover, if (1.19) is verified at time , then it stays true for . The functions satisfy the inequalities
[TABLE]
for .
Proposition 4.1 is a simple consequence of the parabolic regularity and we omit the proof (see e.g. [9]).
It is convenient to write
[TABLE]
We note that
[TABLE]
The equation for then becomes
[TABLE]
where
[TABLE]
and
[TABLE]
where we have set . Equation (4.24) has to be solved with initial datum such that
[TABLE]
It is standard to check (see e.g. [7]) that it is possible to construct so that (4.27) is satisfied.
It will be essential to have . To this end we have required (4.19) and (4.20) which imply
[TABLE]
and hence
[TABLE]
We note the presence in (4.24) of the divergent term , which is a source of extra difficulties. It is due to the use of the decomposition instead of . However the first decomposition is useful to take advantage of the spectral properties of the operator in . Alternatively, we could use the second decomposition, but then the spectral properties we need should be sought for in and, when integrating by parts, the weight would produce a similar term in the resulting equation for . As we shall see, the spectral properties are crucial in our proof, so we need to deal with this extra term.
We will follow the approach in [10] and [7]. Instead of repeating all the proofs in these papers, we only outline and give explicit proofs when the previous approach has to be modified to adapt to the case we study. The difference with respect to [10] is that the scaling in this case is diffusive instead of hyperbolic. The main difference with respect to [7] is in getting a bound for the linear equation due to the presence of the third term in (4.35) below. This term appears because depends on and .
First of all we remark that in this term there will be a contribution including a higher power of velocity, ,which is not present in the case studied in [7]. Following [10], we introduce and polynomial norms to control it.
By the assumption that is sufficiently small, we see that there is such that for any and ,
[TABLE]
We define the global Maxwellian
[TABLE]
The inequalities (4.30) imply that there exist constants and such that for some and for each
[TABLE]
We stress that the previous bounds are true under the assumption of a slowly varying . Furthermore, we introduce the polynomial for the control of the cubic power of velocity. We define by the position
[TABLE]
and choose later. Note that in consequence of (4.32) we have
[TABLE]
for some .
4.2. The linear Problem
We start with the linear equation
[TABLE]
with some , such that,
[TABLE]
In applying the result, we shall use of the form
[TABLE]
so that (4.36) is satisfied.
As we shall see, the use of the spectral inequality (4.13) in the energy inequality provides the control of the -norm of . What is missing is the control of the -norm of . This is achieved as in [7], which can be extended to the present setup. We have the following
Proposition 4.2**.**
Suppose . If is sufficiently small, there exists a function such that, for all , and a constant so that
[TABLE]
The proof of this proposition is postponed to the next section. Note that in [7] it is only requested that , clearly implied by the stronger condition .
As we shall see, the control of the cubic in term appearing in the energy inequality requires an estimate of the function defined in (4.33). This will be achieved by using the proposition below. As a consequence of (4.35), satisfies the equation
[TABLE]
with
[TABLE]
where .
Proposition 4.3**.**
If solves (4.35) with given by (4.37) and , are smooth solutions to (3.22) and (3.23) with stricly positive lower bounds uniform in , such that inequalities (4.32) are satisfied, then there is a constant such that, for sufficiently small,
[TABLE]
The proof is given in [7] and [10].
This proposition will be used within an iterative procedure where, at some step we know and want to compute using (4.39) with
[TABLE]
where
[TABLE]
We shall use the bounds [10]:
[TABLE]
[TABLE]
To get an bound on the linear equation we multiply it by and integrate in and to obtain:
[TABLE]
Proposition 4.4**.**
Suppose that is sufficiently small. If solves (4.35) with satisfying (4.36) and , are smooth solutions to (3.22) and (3.23) with stricly positive lower bounds uniform in , then, fixed , there is a constant such that, for sufficiently small,
[TABLE]
Proof.
In equation (4.46) the essential difference w.r.t. [7] are the second and third terms. To bound the third term we split and compute the contributions separately. The most singular (in ) one is due to , whose size in is -times larger than by Proposition 4.2. Fortunately, we have
[TABLE]
because is odd in , while is even in . Thus the largest term vanishes. As for the term , we note that
[TABLE]
because the factor in controls the polynomial . Thus
[TABLE]
and the first term is controlled using Proposition 4.2.
Now, as in [10] we introduce a cut-off on the velocity for some to be chosen, and estimate separately the term with low and high velocity.
We bound . We have
[TABLE]
The first term is bounded as
[TABLE]
The high velocity part is bounded as
[TABLE]
where . Moreover we have used that and for and . Now,
[TABLE]
by choosing .
The term
[TABLE]
also contains a contribution involving which in this case is not zero. We have
[TABLE]
so that Proposition 4.2 can be used. The other terms can be controlled as before. Note that there is no factor.
Next, since , we have the bound
[TABLE]
Summarizing, by using (4.13) we have
[TABLE]
Integrating on time between [math] and we obtain:
[TABLE]
By using Proposition 4.2 we can replace by the right hand side of (4.38) so that (4.55) becomes
[TABLE]
Now we choose the parameters , and is such a way that
[TABLE]
so that (4.57) becomes
[TABLE]
β
Proof of Proposition 4.2:
Proof.
It can be shown along the lines of [6]. We consider the following weak version of (4.35), obtained by multiplying (4.35) by a smooth function , integrating for and integrating by parts to move all the derivatives on :
[TABLE]
for smooth test function . We apply this for . Then from (4.58) we get
[TABLE]
We remark that the bad term disappears due to a cancellation. We can write
[TABLE]
for some funtions , such that
[TABLE]
The conditions (4.61) are satisfied in consequence of the assumption (1.12).
To get bounds on and we use some particular functions and . In fact we choose
[TABLE]
[TABLE]
where solves
[TABLE]
and solves
[TABLE]
and and are constants to be chosen as in [6, 7]. The zero average conditions for and (4.61) are essential to ensure the solvability of (4.62) and (4.63) and they are compatible with the equation as a consequence of the (1.12). The estimates (4.38) of and are obtained as in [6, 7]. β
4.3. The non linear problem
Now we remind that is given by (4.37). The strategy to construct the solution to (4.24) is to define a sequence of solutions to the following linear problems: and, for
[TABLE]
with given . In view of (4.24) the choice of will be
[TABLE]
for . In consequence, we also define so that
[TABLE]
By (4.67), we have
[TABLE]
We have the following
Lemma 4.5**.**
[TABLE]
The proof of the lemma follows as in [7], using also Proposition 4.1 for (4.71) and (4.72) and we do not repeat it.
As a consequence, reminding (4.67), and using , we have
[TABLE]
[TABLE]
By using (4.73) and (4.47) we have
[TABLE]
By using (4.74) and (4.41) we have
[TABLE]
We assume that
[TABLE]
Inductive hypothesis: Fixed , assume
[TABLE]
By using this assumption we have
[TABLE]
We choose , , , so that
[TABLE]
so that
[TABLE]
Then
[TABLE]
We choose , , and so that
[TABLE]
so that
[TABLE]
Therefore the inductive hypothesis is verified up to . This shows that the sequence is uniformly bounded in by and in by . By similar arguments one can show that for some and hence the sequence is convergent and the limit solves uniquely (4.24). The proof of the positivity of is standard [7]. This concludes the proof of Theorem 1.1.
Acknowledgements. This work was supported in part by AFOSR [grant FA-9550-16-1- 0037]. PLG was supported also by the Spanish governement project FIS2013-43201P.
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