We construct global dissipative solutions on the torus of dimension at most three of the defocusing isothermal Euler–Langevin–Korteweg system, which corresponds to the Euler–Korteweg system of compressible quantum fluids with an isothermal pressure law and a linear drag term with respect to the velocity. In particular, the isothermal feature prevents the energy and the BD-entropy from being positive. Adapting standard approximation arguments we first show the existence of global weak solutions to the defocusing isothermal Navier–Stokes–Langevin–Korteweg system. Introducing a relative entropy function satisfying a Gronwall-type inequality we then perform the inviscid limit to obtain the existence of dissipative solutions of the Euler–Langevin–Korteweg system.
The aim of this paper is to give a proper notion of solution and to prove the global existence of such solutions of the isothermal Euler–Langevin–Korteweg system of equations (denoted ELK in the following for reader convenience):
where for a fixed . The unknown functions are the density and the velocity field of the fluid, with the initial condition and for all , where denotes the d-dimensional torus with . We also denote the pressure constant, the dissipation constant and the renormalized Planck constant. Using the Madelung transform , or in a more rigorous way the change of unknown and , this system is directly linked with the Schrödinger–Langevin equation:
This equation first appears in Nassar’s paper [24] as a possible way to give a stochastic interpretation of quantum mechanics in the context of Bohmian mechanics. It had a recent renewed interest in the physics community, in particular in quantum mechanics in order to describe the continuous measurement of the position of a quantum particle (see for example [23, 26] or [22]) and in cosmology and statistical mechanics (see [14, 15] or [16]). Note that in its physical interpretation, corresponds to a quantum friction coefficient, so both positive and negative signs could be of interest ( and ℏ denotes respectively the Boltzmann and the normalized Planck constant, and τ is an effective temperature), unlike the real friction coefficient μ which is taken positive (see [14]). In the mathematics community, this equation has not seen much interest yet, despite the presence of unusual nonlinear effects. In [13], the author has shown that in the focusing case () every well-prepared density function of the solution of equation (1.2) on converges to a Gaussian function weakly in , whose mass and center are uniquely determined by its initial data and , whereas in the defocusing case () every solution disperses to 0, with a slower dispersion rate than usual directly affected by the nonlinear Langevin potential . Still in the defocusing case, up to a space-time rescaling incorporating dispersive effects, the density ρ of every rescaled solution of equation (1.2) on also converges to a Gaussian function weakly in , a phenomenon which is reminiscent of the defocusing logarithmic Schrödinger equation [12] (corresponding to the case in (1.2)).
The question of the existence of solutions to this kind of quantum system is already dealt with in the case of barotropic pressure of the form in [2], where (and ). However, the proof is based on the link with the power-like Schrödinger equation
and the use of Strichartz estimates which do not seem to be helpful for the logarithmic nonlinearity. In fact, rather than estimate , we have to deal with the quantity which becomes unbounded when the wave function ψ vanishes to 0, preventing us from applying the fractional steps method of [2]. In the second part of [11], the authors have shown the existence of solutions to the isothermal Euler–Korteweg system (which corresponds to the case in the system (1.1)), but again their proof is strongly based on the link with the logarithmic Schrödinger equation, which does not seem to be useful in our case due to the ill-posed nonlinear Langevin potential . In a more regular framework, note that in the recent work [18], the author shows the local existence in time of solutions to the Euler–Korteweg system satisfying some analytic regularity, which may be extended to the Euler–Langevin–Korteweg equations.
Unlike the Navier–Stokes–Korteweg system of equations (which corresponds to system (1.1) adding the viscous term on the right hand side of (1.1b), see [19] or the system (2.1) below), the lack of viscous term in the Euler–Korteweg system prevents us from adding some smoothing terms in the equations and then make these terms tend to 0. However, in the recent paper [8], the authors manage to pass to the viscous limit for a specific notion of weak solution called dissipative solution. We will base our proof of existence on this approach, with the specificity of taking an isothermal pressure law (which leads to the use of energy with no definite sign, see below) and adding a dissipation term . Note that in the recent paper [9] the authors have shown the exponential decay to equilibrium of global weak solutions of the Navier–Stokes–Korteweg system with such a dissipation term and for both barotropic and isothermal pressure laws.
Dissipative solutions were introduced by Lions [21], and were recently used in fluid models in order to give a rigorous justification of some viscous singular limits (see [17]). They are based on the use of some particular functionals called relative entropies, namely
where X denotes a Banach space of weak solutions U, and denotes a Banach space of strong solutions V embedded into our space of weak solutions of the fluid system
where is a (nonlinear) generator. A relative entropy has to enjoy the following three properties:
Distance property. For every ,
Lyapounov functional. If V is an equilibrium solution, namely for all , then and
Gronwall inequality. For every , for a.a. ,
The presence of the nonlinear quantum viscous term , usually called Bohm potential, makes difficult to define a relative entropy for the ELK system (1.1). In order to circumvent this difficulty, we denote and introduce the augmented ELK system:
Note that this augmented formulation was first introduced in [3] as a numerical tool in order to compute quantum fluid systems, and is based on the identity
Formally differentiating in space equation (1.1a), we see that a solution of the ELK system (1.1) also stands as a solution of (1.4) (see Remark 1.2 below). We also define the functional , so we can introduce the following relative entropy entropy functional for our system:
where
Note that here stands as a weak solution of (1.4), where has to be seen as a strong solution of this system. We will also use the convention
We now introduce the concept of dissipative solution, which is induced by the Gronwall inequality of our relative entropy functional as follows:
Let and such that . We say that is a dissipative solution of the augmented ELK system (1.4) in with initial data if the following holds:
for a.e. , where
for all smooth function U and defined respectively through the initial condition
and the system
and is a constant uniformly bounded on .
As we are unable to have the existence of strong solutions to the system (1.4), we have to introduce the function which has to be understood as an error function. In fact, if then we recover a strong solution of (1.4) through the system (1.5) by differentiating in space the mass equation (1.5a), which gives
that could be written
in order to show that fulfills equation (1.4c). Of course, we have to take into account this error term in the Gronwall inequality of Definition 1.1 through the function , whose expression will make sense with the calculations of the proof of Proposition 3.6.
We have to state at this stage that the positivity of our entropy functional is unclear due to the presence of the logarithmic function in the isothermal contribution . In order to get positivity, we have to invoke the Csiszár–Kullback inequality (see e.g. [1]) which tells that for such that , we have
Recalling that and using the continuity equations (1.5a) and (1.4a) that ensures that , , we get that
Under the assumption , we then recover the positivity of , which will be crucial in the proof of Theorem 3.7. Note that in the focusing case , Csiszár–Kullback inequality does not ensure positivity on our relative entropy anymore, hence we cannot define a proper notion of dissipative solution in the focusing case and apply the results from Section 3. However, all the results from Section 2 are still valid in the case (see Remark 2.7 below).
We can now state the main result of this paper:
(Global existence for the augmented isothermal ELK).
Letandsuch that, then there exists a dissipative solution of the augmented ELK system (1.4) inwith initial data.
The rest of this paper is devoted to the proof of Theorem 1.4, and is organized as follows. In Section 2, we introduce several regularizing viscous terms in the ELK system which enable us to construct a solution of our regularized system. Letting these several viscosity terms one by one go to zero, we recover the existence of a weak solution to the Navier–Stokes–Langevin–Korteweg equation, which corresponds to the ELK system with an additional term in the momentum equation. Section 3 is then dedicated to the inviscid limit , where we have to introduce augmented formulation for both ELK and NSLK systems. Finally we give in the Appendix the definition of the operators and some technical lemmas which will be used all along this paper.
The isothermal Navier–Stokes–Langevin–Korteweg system
We look at the Navier–Stokes–Langevin–Korteweg system (denoted NSLK in the following for reader convenience), namely:
where . This system formally enjoys the following energy estimate:
with
Similarly to Remark 1.3, in order to use (2.2) to get some regular bounds on our solutions, we need to show that is also bounded from below, which is not obvious due to the presence of the logarithmic term . Denoting , with
we remark that is controlled by
by the Hölder inequality on the compact set with small enough, hence and , so the energy is indeed bounded from below.
The BD-entropy of a quantum fluid system, firstly introduced in [6] and [4], is now a classical tool in order to get further regularity bounds on our solution. This system also enjoys a BD-entropy estimate:
with
where and .
Note that, as performed in [10] and [9], we could use a generalization of the BD-entropy called κ-entropy (originally introduced in [7]) in order to consider more general density dependent viscosities of the type with not necessarily equal to . However, as this is not the main focus of our study, we prefer to stay in the more succinct Navier–Stokes framework.
We now give the notion of weak solution induced by these quantities:
Let and such that . We say that is a weak solution of the NSLK system (2.1) in with initial data , if there exists locally integrable functions , such that, by defining and , the following holds:
The global regularity:
with the compatibility condition
For any test function ,
and for any test function ,
with , where is defined through the compatibility condition
For any test function ,
The tensor valued function has to be understood as . Of course, we can not define this term properly, so we use the algebraic identity given in the previous definition, which makes sense in the distribution sense in view of the regularity assumption.
Note that we have used in the momentum equation (2.9) the identity
The aim of this section is now to prove the following theorem:
(Global existence for the isothermal NSLK).
Let,andsuch that, then there exists a weak solution of system (
2.1a
)-(
2.1b
) inwith initial data. Furthermore, for almost every, equations (
2.2
) and (
2.5
) holds.
Note that Theorem 2.6 still holds in the focusing case . In fact, to adapt the proof, we just have to show that is bounded from below similarly to Remark 2.1. Writing , where
and using the conservation of mass , we get that
by the Gagliardo–Nirenberg inequality with , for small enough (see Lemma A.4). Finally,
with , inducing that and so . Unfortunately, we are unable to define a positive relative entropy functional in the focusing case, so we can’t make the viscous limit in this case.
Regularized NSLK system
Following [25], we first aim at proving the existence of a solution to the following regularized NSLK system:
where the regularization parameters verify , and , are chosen sufficiently large (to be fixed later on). Integrating equation (2.10a) in space, we get the conservation of mass, namely for all ,
Then, multiplying formally equation (2.10b) with u and combining it with equation (2.10a) we get the energy estimate, for almost all :
where
Let . We say that is a weak solution of the regularized NSLK system (2.10) in with initial data , if the following holds:
The global regularity:
For any test function ,
and for any test function ,
Letandthen there exists a weak solutionof system 2.10 inwith initial datawhich satisfies moreover the conservation of mass (
2.11
) and the energy estimate (
2.12
).
We note that the conservation mass (2.11) and the energy estimate (2.13) induce the following uniform bounds with respect to :
Also, combining the energy estimate (2.12) with Lemma A.3 ensures that
Finally, combining these bounds with Lemma A.5 we obtain that there exists a positive constant such that
In all the convergences mentioned in the following proof, we have to extract subsequences that we do not relabel for conciseness.
Step 1: Faedo–Galerkin approximation. Following [19] and [25], we denote an orthonormal basis of (which is also an orthogonal basis of ) and we introduce the finite-dimensional space . Then the classical theory of parabolic equation gives us the existence of a function
satisfying equation (2.15) on , and the maximum principle provides some lower and upper bounds on the density . In particular, since we assumed that , we get that is strictly positive. Then, by a fixed point argument, the standard theory for systems of ordinary differential equations provides the existence of a unique classical solution
satisfying equation (2.16) (taking ) on . Furthermore, integrating equation (2.10a) on space, we get the conservation of mass of (2.11), and multiplying equation (2.10b) with and combining with equation (2.10a) we get the energy estimate (2.12) for .
Step 2: Uniform estimates on the approximate solutions. We note that and , where denotes the -projection onto . In particular, since by assumption , we have that
and so with the energy inequality (2.12) satisfied by we get that, for all ,
From this inequality we get several uniform bounds on with respect to N, in particular we get the existence of some functions ρ and V such that
Using the bounds
together with Lemma A.5, we get that there exists a constant such that
and we may set .
Step 3: The limit. In order to pass to the limit into equations (2.15) and (2.16), we need the convergence of our functions and in a stronger sense. As satisfies the energy inequality (2.12), it also gets the uniform bounds of Remark 2.10, in particular:
and from the continuity equation (2.10a) satisfied by we know that is bounded in . By classical weak-convergence results and Ascoli–Arzelà type argument we get that
and from the bound from below on (2.19) we also get that
Furthermore, given the uniform bounds for and , and since is orthogonal for the -scalar product, we can get that and both converge in (see [11] for the details). Together with the fact that is uniformly bounded, we get that
Note that the uniform estimates satisfied by also entail that (and so u) is bounded in . The only remaining problematic term in (2.16) is . However as is bounded in and in , we get by interpolation that is also bounded in .
As each term in (2.15) and (2.16) is now handle by the previous regularities of and , we can pass to the limit into these equations, so finally is a weak solution of the regularized NSLK system (2.10) in with initial data . □
In order to pass into the limits , we will need further estimates on our solution . A common way to get other estimates is to introduce the following BD-entropy:
Letand assumesatisfies the regularity (
2.17
). We denotethe weak solution of (2.10) constructed in Proposition
2.9
. Then there exists constantsandwith dependencies mentioned in parentheses, such that:
The proof of this identity is mostly technical, and we refer to [11] for the details (as the new dissipation term is essentially harmless in the calculation). The idea is to differentiate and multiply by the continuity equation (2.10a), which gives
and we also take , where , as a test function in the weak formulation of the momentum equation (2.16). We then combine these two equations and integrate in time. The technical part is then to prove that each term appearing in this equation is well defined, and using some classical inequality from functional analysis (namely Hölder or Young inequalities and Sobolev embedding) we finally get (2.22). □
Note that the presence of the term in prevents this quantity from being positive, however as for the logarithmic energy term we can get a lower bound for this term by controlling his negative part
as ρ satisfies the mass conservation (2.11). Hence we can properly get some new uniform bounds on using equation (2.22).
NSLK with drag forces
We are now going to prove the existence of a weak solution to the following system, which will be called NSLK system with drag forces:
We define the energy of this system and its corresponding dissipation from the ones of the previous regularized system,
as well as the BD-entropy and its corresponding flux,
Let . We say that is a weak solution of the NSLK system with drag forces (2.23) in with initial data , if the following holds:
The global regularity:
For any test function , equation (2.15) holds, and for any test function , equation (2.16) holds, taking for both equations.
As in [11], remark that in presence of drag forces , u is well defined as function, as a distribution and is also well defined, unlike in the original system (2.1) without drag forces where the regularity induced by the energy estimate (2.2) is insufficient to define u and so has to be understood as .
Letand assumesatisfies the regularity (
2.17
) such thatThen there exists a weak solution of the NSLK system with drag forces (2.10) inwith initial data. Furthermore, there exists constantsandwith dependencies mentioned in parentheses, such thatand
The proof is the exact same as the one appearing in [11], where the authors first let and then perform the limit , so we refer to it for the details. □
The limit
In [20], in order to pass to the limit , the authors have to introduce a new type of solutions to the Navier–Stokes–Korteweg system called renormalised solutions. In our framework these solutions are defined as follows:
Let . We say that is a renormalised weak solution of the NSLK system with drag forces (2.10) in with initial data , if there exists locally integrable functions , such that, by defining and , the following holds:
The global regularity:
where is defined as in Definition 2.3, and with the compatibility condition
For any function , there exists two measures , with
where the constant C depends only on the solution such that for any test function ,
and for any test function ,
with and where is defined through the compatibility condition
For any test function ,
Note that renormalized solutions allow us to obtain some stability on our weak solutions, since the notion avoid the problem of concentration. In fact, in [20], the authors have proved the following lemma:
Let, then:
For,, any renormalised weak solution of the NSLK system with drag forces (2.23) is also a weak solution (in the sense of Definition
2.13
if,or Definition
2.3
is,).
For,, the two notions are equivalent: any weak solution of the NSLK system with drag forces (2.23) is also a renormalized solution of the same system.
Thanks to Lemma 2.17 and Proposition 2.15, we have constructed a renormalized solution of the NSLK system with drag forces (2.23). In order to prove Theorem 2.6, the only remaining step is to prove the compactness of this renormalized solution in terms of the parameters and .
In this proof, we will denote and the sequence of weak solutions to the NSLK system with drag forces (2.23) constructed in Proposition 2.15. Again, all the convergences below are made up to extraction that we do not relabel for conciseness.
We are first going to pass into the limit in the continuity equation (2.26) only using a priori estimates (i) from Definition 2.16 which do not depend on r. From the continuous embedding as , we get that , so combined with the fact that we get by Lemma A.2 that is uniformly bounded in . Moreover, using the continuity equation (2.26) we get that is uniformly bounded in . Writing , and recalling that , we get that is also uniformly bounded in , hence by Aubin–Lions lemma we get that
From (2.27) we get that is uniformly bounded in for a N large enough, and from the identity
and the a priori estimates (i) from Definition 2.16 we get that is uniformly bounded in . As we already know that is uniformly bounded in , we get from Aubin–Lions lemma that
In particular, and are uniformly bounded in , so we can pass to the limit in the continuity equation (2.26), and we also get part (iii) of Definition 2.16.
We are now going to pass to pass to the limit in the momentum equation (2.27). Using the previous convergences and the estimates independent of r on and that ensures some weak convergence of these quantities in , we can pass to the limit in the left hand side of equation (2.27). Indeed, as in [20] and [11], introducing we can show with the previous convergences that and a.e., and consequently that in for any bounded , with and . For the right hand side of equation (2.27), we remark that the sequence is uniformly bounded in measures, so it converges to a measure with the same bound. Note that we can similarly pass to the limit in the renormalized compatibility condition for and obtain the renormalized condition for .
Hence defines a renormalized weak solution of the NSLK system (2.1) in the sense of Definition 2.16 taking , which also stands as a weak solution of the NSLK system (2.1). By Fatou’s lemma, we then get that satisfies (2.2), which completes the proof of Theorem 2.6. □
Defining
and as
from respectively Remark 2.12 and equation (2.25), which implies that
we also gets from the previous proof that satisfies the following BD-entropy estimate (which will be useful in the following section):
The isothermal Euler–Langevin–Korteweg system
Following [8], by denoting and , we consider the augmented Navier–Stokes–Langevin–Korteweg system of equations:
where we denote and (as we are letting , cf Remark 3.1 below).
Note that here the isothermal pressure term can absorb the contribution of the dissipative Langevin term, through the identity
As we assume that and as we are going to let in this section, we can take ν small enough such that , which will be crucial in the following. In fact the compatibility of these two terms is a special feature of the isothermal pressure and the Langevin potential, which may not work for other pressure laws (for example the classical barotropic pressure , ), and reinforce the link between these two quantities.
By denoting , we also rewrite the associated BD entropy estimate (2.5) in terms of ρ, w and , which stands as the energy estimate of the augmented system (3.1):
where
We also introduce the relative entropy entropy functional of the augmented NSLK system:
where and are defined through the compatibility conditions
We now introduce the definitions of weak and strong solutions to the augmented NSLK system:
Let and such that . We say that is a weak solution of the augmented system (3.1) in with initial data , if there exists locally integrable functions , such that, by defining , , and , the following holds:
The global regularity (i) of Definition 2.3 on and is verified.
For any test function , ρ and verify equation (2.8), for any test function ,
and for any test function ,
The compatibility condition (iii) of Definition 2.3 on ρ and is satisfied.
Let us remark here that weak solutions of the NSLK system (2.1) are also weak solutions of the augmented NSLK system (3.1). In fact, taking the gradient of equation (2.1a) (which is satisfied in the distribution sense), we get that
so by definition of and expression of v we can write
Let and such that . We say that is a strong solution of the augmented system (3.1) in with initial data , if the following holds:
The global regularity:
The function R, and W satisfies, for a.a. ,
where , and .
A Gronwall inequality
We are going to mimic the steps of the proof given in [8], giving a special attention to the isothermal pressure law and to the new dissipation term:
Letbe a weak solution of the augmented system (3.1), and letThen we have the following inequality:where
As we know that is a solution of (3.1), we can use (2.2), and using the fact that for any function we have
we get that
We are now going to use equations from the augmented system (3.1) in order to develop the terms in the previous inequality. Using equation (3.1a), we get that
Then using respectively equations (3.1b) and (3.1c), we have
and
Finally, we develop the quantities
and since , are symmetric matrices (recall that v and V are gradient of functions), we get from (3.1a) and integration by parts:
The result follows from simplifying the previous expression. □
Letbe a strong solution of (3.1), then any weak solutionof the augmented system (3.1) satisfies:
Multiplying equation (3.2a) by and equation (3.2c) by , and integrating with respect to time and space, we can replace the terms and in the inequality of Proposition 3.5, which gives:
where
Note that the dissipation term in μ has disappeared from the expression. In fact, by multiplying by , the contribution of (3.2a) in the previous inequality is
which is exactly the opposite of the one in the expression of Proposition 3.5. Using equation (3.2a) , and as , we get by integration by parts that
Observing that
we get by integration by parts that
recalling that and , which gives the result. □
We can now state the main theorem of this section:
Letbe a strong solution of (3.1) and assume, then any weak solutionof the augmented system (3.1) satisfies:wheredenotes a constant independent of λ, μ, ν and ℏ.
The idea is to bound every term on the right hand side of the inequality of Proposition 3.6 by a multiple of . Recalling that , we immediately get by Cauchy–Schwarz inequality that
For the second term of the inequality of Proposition 3.6, as , we get by integration by parts that
For the third and fourth lines of the inequality of Proposition 3.6, we can also show in the same way that
hence we get the result by bounding these integrals like the first term. □
The viscous limit
Let,andsuch that. Letbe a weak solution to the augmented NSLK system (3.1) inwith initial data. Letbe the weak limit ofwhen ν tends to 0 in the sensewith. Thenis a dissipative solution of the augmented ELK system (1.4) inwith initial data.
Let U be a smooth enough function such that, defining through (1.5) and
we have the global regularity (i) of Definition 3.4 on and the compatibility condition . We also define
such that
Using equation (1.5a), we can easily check that satisfies (3.2c) and that
As is not necessarily equal to 0, fails to be a strong solution of the augmented system (3.1) in the sense of Definition 3.4, however we can show in the exact same way as for the proof of Theorem 3.7 that
where
By Gronwall lemma, we get that
By definition, we have
so (3.4) gives
We are now going to pass to the limit in the previous inequality. By the lower semi-continuity of the term , the left hand-side is not smaller than
which corresponds to . On the right-hand side, as tends to
for all , and by the direct limit of , we conclude that
which shows that is indeed a dissipative solution in the sense of Definition 1.1. □
Footnotes
Definition of the operators and technical lemmas
We recall here all the definitions of the operators used in this article. We denote u, v two vectors and , two tensor fields defined on smooth enough. First, denoting by the coordinates of u, we respectively call divergence, gradient and laplacian of u the following functions:
We also call tensor product of u and v the tensor given by:
Then, we call divergence of σ the vector given by:
Finally, we call scalar product of σ and τ the real function:
Note that by definition we have , and the norm associated to this scalar product is simply denoted by in such a way that . We now give some useful properties from differential calculus:
We now state some technical lemmas which are used throughout this paper.
For a proof of the following lemma, which is reminiscent of [5, Lemma 2.1], with a slightly different statement, see [11]:
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