$p$-Euler equations and $p$-Navier-Stokes equations
Lei Li, Jian-Guo Liu

TL;DR
This paper introduces $p$-Euler and $p$-Navier-Stokes equations derived from Wasserstein-$p$ distances, exploring their structure, properties, and proving the global existence of weak solutions in certain cases.
Contribution
The work formulates new $p$-Euler and $p$-Navier-Stokes equations based on optimal transport principles and establishes existence results for weak solutions in specific parameter regimes.
Findings
$p$-Euler equations relate to Wasserstein-$p$ distances.
Existence of weak solutions for $p$-Navier-Stokes in $ eal^d$ for $ extgamma=p$ and $p extgreater= d extgreater= 2.
$p$-Laplacian appears in the vorticity formulation in 2D.
Abstract
We propose in this work new systems of equations which we call -Euler equations and -Navier-Stokes equations. -Euler equations are derived as the Euler-Lagrange equations for the action represented by the Benamou-Brenier characterization of Wasserstein- distances, with incompressibility constraint. -Euler equations have similar structures with the usual Euler equations but the `momentum' is the signed ()-th power of the velocity. In the 2D case, the -Euler equations have streamfunction-vorticity formulation, where the vorticity is given by the -Laplacian of the streamfunction. By adding diffusion presented by -Laplacian of the velocity, we obtain what we call -Navier-Stokes equations. If , the {\it a priori} energy estimates for the velocity and momentum have dual symmetries. Using these energy estimates and a time-shift estimate, we show…
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Taxonomy
TopicsNavier-Stokes equation solutions · Advanced Mathematical Physics Problems · Geometric Analysis and Curvature Flows
-Euler equations and -Navier-Stokes equations
Lei Li
Lei Li
Department of Mathematics
Duke University
Durham, NC 27708, USA
and
Jian-Guo Liu
Jian-Guo Liu
Departments of Physics and Mathematics
Duke University
Durham, NC 27708, USA
Abstract.
We propose in this work new systems of equations which we call -Euler equations and -Navier-Stokes equations. -Euler equations are derived as the Euler-Lagrange equations for the action represented by the Benamou-Brenier characterization of Wasserstein- distances, with incompressibility constraint. -Euler equations have similar structures with the usual Euler equations but the ‘momentum’ is the signed ()-th power of the velocity. In the 2D case, the -Euler equations have streamfunction-vorticity formulation, where the vorticity is given by the -Laplacian of the streamfunction. By adding diffusion presented by -Laplacian of the velocity, we obtain what we call -Navier-Stokes equations. If , the a priori energy estimates for the velocity and momentum have dual symmetries. Using these energy estimates and a time-shift estimate, we show the global existence of weak solutions for the -Navier-Stokes equations in for and through a compactness criterion.
††2010 Mathematics Subject Classification. Primary 49K30, 35Q35. Secondary 76D03††Key words and phrases. Wasserstein- geodesics; Benamou-Brenier functional; -momentum; -Laplacian; global weak solutions
1. Introduction
The Wasserstein distances [1, 2, 3, 4] for probability measures in a domain are closely related to optimal transport and are useful for image processing [5], machine learning [6] and fluid mechanics [7]. If is convex and bounded, the Wasserstein- () distance between two probability measures in can be reformulated as the following optimization problem [4, Sec. 5.4]:
[TABLE]
where is a nonnegative measure and is a vector measure, both of which are time-dependent. is the Benamou-Brenier functional, and see Equation (2) for the expression in the case (i.e. is absolutely continuous with respect to ). This Benamou-Brenier characterization of Wasserstein distances provides a least action principle framework for us to study Wasserstein geodesics.
In applications like image processing, one usually wants to find the geodesics between two shapes using some suitable action [5]. In [8], Liu et al. considered two shapes (open connected sets) and in with equal volume . Assigning the two shapes with uniform probability measures
[TABLE]
where for a set means the characteristic function, the Wasserstein- distance between these two shapes is defined as the Wasserstein- distance between and . The authors of [8] considered the geodesics between and with the action represented by the Benamou-Brenier characterization of Wasserstein- distance under incompressibility constraint. In other words, they studied the action
[TABLE]
with the constraint
[TABLE]
Note that the action here is different from the one used in [8] by a multiplicative constant, to be consistent with our convention in this paper. They found that the Euler-Lagrange equations for the geodesics under this constraint are the incompressible, irrotational Euler equations with free boundary. They proved that the distance between two shapes under this notion with incompressibility constraint is equal to the Wasserstein- distance.
The work in [8] is related to Arnold’s least action principle [9], where Arnold discovered that the Euler equations of inviscid fluid flow can be viewed as the geodesic path in the group of volume-preserving diffeomorphisms in a fixed domain. One of the differences is that the equations in [8] are irrotational with free boundary. The free boundary problems for incompressible Euler equations are waterwave equations which have attracted a lot of attention [10, 11, 12, 13, 14]. In [12, 13], Wu proved the wellposedness of waterwave problems in Sobolev spaces with general data for irrotational, no surface tension cases. In [14], Shatah and Zeng solved the zero tension limit problem with the observation that the Lagrange multiplier part of the pressure can be interpreted as the second fundamental form of the manifold of the flow map.
In this paper, following [8], we derive the Euler-Lagrange equation for the action represented by the Benamou-Brenier characterization of Wasserstein- distance () between two shapes with the incompressibility constraint. The resulted equations (Equations (23)) have similar structures with Euler equations for :
[TABLE]
and thus we call them -Euler equations. Here is the Eulerian velocity field for the particles along the geodesics while , which we call the momentum, is the signed power of velocity . is a scalar field which plays the role of pressure as in the usual Euler equations. The -Euler equations for the geodesics are irrotational in the sense that .
If we define the Lagrangian and Hamiltonian respectively as (Equations (24) and (28)):
[TABLE]
where is the conjugate index of (), then and we have then the dual symmetry (Equation (30))
[TABLE]
Further, the -vorticity
[TABLE]
evolves like a material transported by the velocity field:
[TABLE]
If the flow is irrotational in the sense that , then and we have the following Bernoulli equations (Proposition 1)
[TABLE]
for some arbitrary function . The -Laplacian of the potential is zero.
For the free boundary problems, we use Noether’s theorem to find the conservation of Hamiltonian and total momentum, angular momentum, an analogy of helicity and Kelvin’s circulation (see Section 4):
[TABLE]
where in the last integral is a material closed curve while is the unit tangent vector with being the arc length parameter. For a fixed boundary, we do not have conservation of momentum and conservation of angular momentum. However, the conservation of Hamiltonian, helicity and circulation are still valid.
When we consider the 2D -Euler equations, we have a streamfunction-vorticity formulation for :
[TABLE]
The vorticity becomes -Laplacian of the stream function. This system of equations share similarities with the surface quasi-geostrophic equations, where the -Laplacian is replaced by a fractional Laplacian [15]
[TABLE]
The well-posedness of critical 2D dissipative quasi-geostrophic equation was shown in [16, 17]. Another related system is the semi-geostrophic equations where the relation between and is given by a Monge-Ampeŕe equation [18]:
[TABLE]
Adding viscous term given by -Laplacian of velocity, which is reminiscent of the shear-thinning or thickening velocity-dependent viscosity for non-Newtonian fluids [19, 20, 21], we obtain what we call -Navier-Stokes (-NS) equations (Equation (60)) for :
[TABLE]
Here, and are constants. Note that the name ‘-Navier-Stokes equations’ is reminiscent of the models for non-Newtonian fluids studied by Breit in [22, 21] based on a power law model for the viscosity term (see Remark 4 for more details) 111Actually, the name ‘-Navier-Stokes equations’ has been used by Breit in his talk slides for some of these models: http://www.macs.hw.ac.uk/~b13/Habil.pdf. . The -NS equations have scaling invariance (see Section 6.1.2) and therefore may admit self similar solutions. By studying self-similar solutions with initial data, Jia and Sverak in [23] studied the nonuniqueness of Leray-Hopf weak solutions of the 3D Navier-Stokes equations.
The parameter measures the strength of diffusion. corresponds to fast diffusion while corresponds to slow diffusion. Special cases include . For and in 2D case, the -NS equations can be recast in a streamfunction-vorticity formulation (see Section 6). In the cases, the -NS equations have dual symmetry (Equation (30)) for the momentum and velocity. In particular, the dual symmetry gives the following energy-dissipation relation
[TABLE]
and from which we observe the important a priori energy estimates for :
[TABLE]
where is the conjugate index of . For , we have a time-shift estimate (Lemma 3) for the mollified sequence
[TABLE]
where the time-shift operator is given by . Using these estimates, we conclude the compactness of in by a compactness theorem from [24] and show the global existence of weak solutions in for with in Section 7.
Diffusion with -Laplacian diffusion has been studied by many authors. The authors of [25] and [26] studied the weak solutions of doubly degenerate diffusion equations and in [27], Agueh et al. investigated the large time asymptotics of doubly nonlinear diffusion equations. Cong and Liu in [28] studied a degenerate -Laplacian Keller-Segel model.
The rest of the paper is organized as follows. In Section 2, we give a brief introduction to Wasserstein- distances. The Benamou-Brenier characterization allows us to derive the Euler-Lagrange equations for the geodesics. We reveal the underlying Hamiltonian structure. In Section 3, we derive the Euler-Lagrange equations for the action represented by the Benamou-Brenier functional with the incompressibility constraint. The resulted equations are named as incompressible -Euler equations. The structures are similar as the usual Euler equations but the momentum is replaced with the -momentum that is nonlinear in the velocity. In Section 5, we reveal the variational structures of the -Euler equations on a fixed domain, investigate the conservation of -Hamiltonian and the streamfunction-vorticity formulation. In Section 6, we add a viscosity with -Laplacian to obtain the -Navier-Stokes equations. This viscosity is a monotone function of the velocity and physically corresponds to shear-thinning or thickening effects. The special cases include and . In Section 7, we show the global existence of weak solutions for -Navier-Stokes equations with -Laplacian viscosity.
2. The Wasserstein- geodesics
In this section, we first give a brief introduction to the Wasserstein- distance and its relation to the Benamou-Brenier functional. Then, we investigate the geodesics for Wasserstein- distances, which satisfy the pressureless -Euler equations. Some underlying Hamiltonian structure will be discussed.
2.1. Optimal transport and Wasserstein- distance
Let be a domain. Denote the set of probability measures on . Let and be a cost function. The optimal transport problem is to optimize the following minimization:
[TABLE]
where is the set of ‘transport plans’, i.e. a joint measures on so that the marginal measures are and . If there is a map such that minimizes the target function, where is the identity map and
[TABLE]
then is called an optimal transport map.
The Wasserstein- distance for is defined as
[TABLE]
In other words, is the optimal transport cost with cost function .
It has been shown in [4, Chap. 5] that the Wasserstein- () distance between two probability measures and is also given by
[TABLE]
where is a nonnegative measure and is a vector measure. is called the Benamou-Brenier functional. In the case , ,
[TABLE]
As explained in [4, Chap. 5], can be understood as the particle velocity.
The minimizer for (1) is called the Wasserstein- geodesic, which will not change if we consider the cost . Suppose . The dual function of , or Legendre transform of , is
[TABLE]
where . If is absolutely continuous with respect to Lebesgue measure, by the well-known result [4], the optimal transport exists and is given by
[TABLE]
for some . The function is called Kantorovich potential. (From here on, if is absolutely continuous to the Lebesgue measure, and consequently, for some Lebesgue integrable function , we may use to mean this function without much confusion.) The velocity of a particle is found to be constant and given by
[TABLE]
With the Kantorovich potential, we are able to write out the distance as
[TABLE]
The velocity field is in general not curl free. However, an important observation is that the -momentum
[TABLE]
is curl free. is the -th signed power of .
Remark 1**.**
If , is the Kelvin transform of about the unit sphere (in this paper, we consider ). If , maps the inside of the unit sphere to the inside while maps outside to the outside. If , the mapping is pushing points towards the unit sphere while in the case, the mapping is pushing points away from the unit sphere.
To find the optimal transport map from to , one may want to solve for the Kantorovich potential . Suppose and have densities and respectively, then by the fact
[TABLE]
where represent the Jacobian matrix of , we obtain the following equation for the potential :
[TABLE]
where is the Hessian of and is the tensor product. This equation can be regarded as the generalized version of the Monge-Ampeŕe equation.
Above we have used the tensor product . To be convenient for the discussion later, let us collect some notations for tensor analysis here. Let be vectors and be second order tensors (matrices). is a second order tensor, called the tensor product:
[TABLE]
We also define the dot product as
[TABLE]
2.2. The Wasserstein- geodesics
We now look at a particular optimal transport problem from the uniform distribution on a shape to another probability measure . We derive the equations for the corresponding flow formally. This formal derivation can be generalized to the case with incompressibility constraint to yield the incompressible -Euler equations in Section 3.
From here on, we will always assume
[TABLE]
Consider an open set and is the probability measure with density . Let be another probability measure supported in . Denote the optimal map by . By (1), the Wasserstein- geodesic between and is the minimizer of
[TABLE]
where
[TABLE]
Here, is the support of , and forms a sequence of shapes. The geodesic induces a flow of mass. In Section 2.1, we know that the velocity for the particle in the optimal transport is constant. Now, we rederive this formally.
Assume the flow map is , where is a Lagrangian coordinate. Since can be interpreted as the density of particles [4], we have
[TABLE]
Let us consider the cost function,
[TABLE]
Taking the variation with :
[TABLE]
Hence, we have
[TABLE]
In Eulerian variables, we let
[TABLE]
and have
[TABLE]
where is the unit vector in the direction specified by and as in (4).
Note that if , is invertible and hence the minimizer satisfies
[TABLE]
which confirms that particles in the geodesic have constant speed. Hence, for any , any optimal flow satisfies the following pressureless compressible Euler equations
[TABLE]
Clearly, for different values, the velocity fields should be different for the same initial and terminal distribution while they are described by the same equations (13). Note that
[TABLE]
System (13) is so special that it conserves all the -moment and it is why the geodesic for any distance satisfies the same system.
The -momentum satisfies
[TABLE]
and, as we shall see later, the more intrinsic system of equations is the following pressureless -Euler equations
[TABLE]
2.3. Underlying Hamiltonian structure
Consider the following action of a single particle
[TABLE]
The Hamiltonian is obtained by the Legendre transform
[TABLE]
We can verify that the following Hamilton ODE holds
[TABLE]
Physically speaking, there is no external force. Then, the Hamiltonian and Lagrangian are given by the ‘kinetical energy’ only. , as a conjugate variable of , should be understood as the momentum and thus we call the -momentum. In the Wasserstein geodesics, all the particles are independent and each of them satisfies this Hamilton ODE.
3. Incompressible -Euler equations
In this section, we derive the Euler-Lagrange equations for the action represented by the Benamou-Brenier characterization of Wassertein- distance with the incompressibility constraint. The derived equations are called -Euler equations. We then study some elementary properties of this system of equations.
3.1. The variational problem and the Euler-Lagrange equations
From here on, without loss of generality, we will assume in the variational problem:
[TABLE]
Consider and where . The optimal transport from to is the minimizer of (9). Now, we instead pursue the minimizer of (9) with the incompressibility constraint: . In other words, we pursue the minimizer over the sequences of shapes with equal volume. This motivates us to consider the functional
[TABLE]
where and are Lagrangian multipliers for the constraint that the map is incompressible. Note that we are only asking for but is free to change.
Taking variation such that and :
[TABLE]
Recall that
[TABLE]
and we introduce as
[TABLE]
Integration by parts, we have
[TABLE]
By the fact that , on at . As a result, we have the following equation:
[TABLE]
with conditions
[TABLE]
The -momentum has to be irrotational at , which implies that (3) is natural.
Remark 2**.**
One may be tempted to write this system into the form of usual Euler equations by inverting (recall that is the tensor product as in (4)):
[TABLE]
with the boundary condition
[TABLE]
This form, however, is not convenient for us to study.
3.2. The -Euler equations
In this subsection, we discuss the general properties of system (22) in more detail. To be convenient, we write out the system of equations below for :
[TABLE]
Here, we are not specifying the boundary conditions at for general discussion. If we specify , we have the free boundary problem while if we set , and (where is the outer normal of ) for , we have the fixed domain problem. This system is called the (incompressible) -Euler equations due to the similarities with the usual Euler equations.
Consider again the Lagrangian (with in ):
[TABLE]
and the action . The Legendre transform of is the Hamiltonian
[TABLE]
The maximum happens when
[TABLE]
and thus
[TABLE]
Hence, we can introduce the -Hamiltonian for System (22):
[TABLE]
It is easy to find that
[TABLE]
and that the Fréchet derivatives have the dual symmetry:
[TABLE]
In the case , we define -vorticity as the curl of
[TABLE]
Proposition 1**.**
Suppose is smooth and satisfies the incompressible -Euler equations (23) for . Then:
(i). The momentum equation can be written in conservation form as
[TABLE]
(ii). If the flow is steady, then the Bernoulli’s law holds: is constant along a streamline. In other words,
[TABLE]
(iii). The -vorticity satisfies
[TABLE]
Consequently, if the flow is irrotational () at some time, it is irrotational for all time. For irrotational flows, and satisfies the Bernoulli equations
[TABLE]
where the function can be picked arbitrarily.
Proof.
Statement (i) follows from .
(ii). If , we have the following vector identity:
[TABLE]
Using (36), first equation in (23) is reduced
[TABLE]
If the flow is steady, . Dotting both sides with and noticing and , we obtain what is claimed.
(iii). Taking curl in the first equation of System (23), and using (36), we derive the equation for . According to the equation that satisfies, if for some time , then it is zero for all time.
If for all time, then . The first equation of System (23) is rewritten as
[TABLE]
Since and , we obtain the first equation in (35). Since and is divergence free, the second equation follows. ∎
Proposition 1 confirms that is the physical momentum. As a corollary, we have
Corollary 1**.**
Suppose the minimizer of Problem (21) exists and it induces a diffeomorphism from to . For , is irrotational:
[TABLE]
Proof.
In the case , by Equations (22), we see that is irrotational at . Then, applying the equation of , we find that is zero for all time since the flow map is a diffeomorphism. The claim follows. ∎
3.3. Influence of Galilean transform
Since the momentum is nonlinear in the velocity, the influence of Galilean transform on the fluid system could be sophisticated. Consider the Galilean transform
[TABLE]
where is a constant. We introduce the new velocity and -momentum
[TABLE]
The -Euler equations for the new variables are given by
[TABLE]
Clearly,
[TABLE]
Using the relation
[TABLE]
we find
[TABLE]
Hence, the ‘-pressures’ are related by
[TABLE]
Assuming the -Euler equations are well-posed, we then conclude that the -Euler equations are Galilean invariant with the pressures related by Equation (42).
4. Conservation in free-boundary -Euler equations
We have seen that the minimizer of Problem (21) satisfies the free boundary incompressible -Euler equations for :
[TABLE]
with boundary condition
[TABLE]
In this section, we use the action and Noether’s first theorem (see [29, 30]) to reveal some conserved quatities for the free-boundary -Euler equations. Noether’s theorem states that a differentiable symmetry of the action for a system induces a conserved quantity. Suppose the Lagrangian is given by where is the dynamics, and is the generator of some symmetry (in other words, the action is invariant under the transform and ), then the integral of Noether current is conserved:
[TABLE]
where the pairing is in sense. If we have time shift symmetry, and . Then, the conserved quantity is the Hamiltonian
[TABLE]
If is not transforming time, then and we have the conserved quantity as
[TABLE]
Recall that in our problem, is the flow map, and the action is given by
[TABLE]
Let us check several examples of symmetry for :
- •
is independent of time. Then, we have the conservation of Hamiltonian:
[TABLE]
- •
In the case of translation, where is the natural basis vector for . This then results in the conservation of total momentum . Or, in other words,
[TABLE]
- •
For rotation, for some vector . The action is invariant under rotation and thus we have the conservation of
[TABLE]
By the arbitrariness of , we obtain the conservation of angular momentum
[TABLE]
- •
Here, we investigate the conservation of circulation. Let and be the flow map from to with being the Lagrangian variable. Picking a closed curve at , where is the arclength parameter. We let the particles on circuit with distance (to be rigorous, we need a tube of and let the particles in this tube circuit). The flow map then results in an operation on , where for . is a symmetry and we have the conservation of:
[TABLE]
where is the material curve while is the unit tangent vector. is called the circulation.
- •
Note that is divergence free and it evolves like a material vector field. Let be the flow map from to and is the Lagrangian variable at . at then induces a volume preserving map such that . Consequently, . The action is unchanged under the operation . We then have the following conserved quantity, called helicity,
[TABLE]
Note that and the material vector field satisfies .
All these conservation relations can be verified directly.
For compressible -Euler equations with free boundary (note that this system is not closed as there are unknowns but equations only)
[TABLE]
where the boundary condition is (44). The conservation of momentum is still true:
Proposition 2**.**
Suppose the solution to the -Euler equations (45) is smooth. Then, the total -momentum
[TABLE]
is a constant.
Proof.
Using the first two equations in (45), we find that the momentum satisfies the following conservation law
[TABLE]
Applying the Reynold’s transport theorem,
[TABLE]
Hence, is a constant. ∎
5. Incompressible -Euler equations in a fixed domain
In this section, we discuss some general formulation of the initial value problem of -Euler equations in a fixed domain instead of free boundary, i.e. () and for . The rigorous study of these PDEs is left for future.
5.1. The formulation
The initial value problem of -Euler equations () in the fixed domain for and is given by:
[TABLE]
with initial value
[TABLE]
In the case , the boundary condition we impose is the no-flux boundary condition
[TABLE]
If is unbounded, we require the quantities to decay at infinity.
Note that in the system (48), is there to ensure . Indeed, using the relation between and , we can formally find that
[TABLE]
Then, can be determined by the elliptic equation
[TABLE]
where is positive definite with smallest eigenvalue . This process is like the Leray projection defined based on the Helmholtz decomposition (see [31]) for the usual Euler equations.
It is straightforward to check that the conservations of -Hamiltonian, helicity and circulation still hold
[TABLE]
but we do not have conservation of -momentum and angular momentum due to the fixed boundary.
5.2. 2D incompressible -Euler equations in a bounded domain
Consider the -Euler equations (48) on a fixed domain with no-flux boundary condition.
Since , then we are able to find the stream function such that
[TABLE]
By the no-flux boundary condition, we are able to choose . is then written as
[TABLE]
where . In other words, -vorticity is the -Laplacian of the stream function.
Overall we have the following vorticity-streamfunction formulation
[TABLE]
with the boundary and initial conditions
[TABLE]
Note that we have the following relations
[TABLE]
Writing in terms of and is convenient for the vorticity-streamfunction formulation:
[TABLE]
For checking, direct computation reveals
[TABLE]
The first term equals
[TABLE]
Hence,
[TABLE]
and (58) follows.
Remark 3**.**
Formulation (55) inspires the following model:
[TABLE]
This yields
[TABLE]
The energy function decays exponentially. This is like porous media model where Darcy’s law holds. Another related model is the vorticity-streamfunction formulation for the -NS equations with in Section 6.2.
6. Incompressible -Navier-Stokes equations in a fixed domain
6.1. Equations and preliminary investigation
We now add viscosity term to the -Euler equations to obtain the -Navier-Stokes equations. The diffusion added is represented by the -Laplacian of , and physically it is reminiscent of the shear thinning or the shear thickening effects for non-Newtonian fluids ([32, 19, 20, 21]). The initial value problem of the -Navier-Stokes equations are then given by
[TABLE]
with initial condition
[TABLE]
Here and
[TABLE]
The -Laplacian viscous term corresponds to fast diffusion if and slow diffusion if .
In the case , we specify the Dirichlet boundary condition
[TABLE]
Note that we have second derivative in space and we need more boundary conditions compared with the one (50) for -Euler equations. In the case is unbounded, we require the solutions to decay fast enough at infinity.
Remark 4**.**
The name ‘-Navier-Stokes equations’ is reminiscent of the models for non-Newtonian fluids studied by Breit in [22, 21]. We call (60) the ‘-Navier-Stokes equations’ due to the Wasserstein- distance behind. Compared with our model here, the models in [22, 21] are the usual Navier-Stokes equations with the viscous term replaced by where :
[TABLE]
Sometimes, this can also be called ‘-Navier-Stokes equations’, but clearly they mean different things.
6.1.1. The variational structure
In terms of , the viscous term can be interpretated as
[TABLE]
This form is quite similar to the opposite of Wasserstein gradient of a functional though Wasserstein gradient is for functionals of probability measures instead of vector fields. Multiplying on both sides of the first equation in (60) and integrating, we find
[TABLE]
There are two interesting diffusions for the -Navier-Stokes (60). If , we have the usual diffusion and we discuss this case in Section 6.2. If , it is not hard to find the dual symmetry for the a priori estimates:
[TABLE]
and the corresponding mollified estimates are listed in Proposition 3 below, which are useful for our proof of existence of weak solutions in Section 7.
Remark 5**.**
A more physical term for diffusion that rheologists use is where . With this term, we find
[TABLE]
By inequalities of Korn’s type [32, Lemma 2.1], one can bound by for a general class of functions. Hence, similar energy a priori estimates still hold. We use the dissipating term here because of the fact and the mathematical convenience, while we note that this form captures essentially the same nonlinearity. Equations with more physical term are left for future.
6.1.2. Scaling invariance
If we take the scaling for as , , then by the physical meaning
[TABLE]
With the scaling , we find
[TABLE]
The viscosity term is scaled as
[TABLE]
Hence, the equation is scaling-invariant if
[TABLE]
Naturally, we require
[TABLE]
Remark 6**.**
The scaling for conserved quantity is different from that in (66). Consider and . To satisfy the conservation of mass , we find that . Hence, compared with the velocity (Equation (66)), the suitable scaling for is given by,
[TABLE]
Remark 7**.**
For the doubly degenerate diffusion equation , the scaling for is Equation (69). The self-similar solution (by choosing ) is given by
[TABLE]
Inserting this form into the diffusion equation, we find that the critical index for the self-similar solution satisfies
[TABLE]
Suppose so that . Then, one can find the following fundamental solution with initial data which is self-similar, called Barenblatt solution [27, 33]
[TABLE]
where and and are determined by the fact that . Since , the fundamental solution in the case has a compact support. If , compared with the usual diffusion , the diffusion given by a general -Laplacian has finite propagation, and does not provide much smoothing effect.
6.2. Vorticity-streamfunction formulation for 2D incompressible -NS with
Consider and . We have the vorticity-streamfunction formulation for (60):
[TABLE]
For this formulation, the following energy dissipating relation could be useful for the analysis:
[TABLE]
Note that
7. Existence of weak solutions for -NS in with
We show in this section the global existence of weak solutions of the -NS equations (60) in with and
[TABLE]
Let us now collect some notations for convenience. Suppose are two Banach spaces. The notation for represents the class of all the infinitely smooth functions , while represents all the smooth functions but with compact supports. If the codomain is clear from the context, we may simply use or for short. Similar notations are adopted for spaces and Sobolev spaces . If , we may write or for clarity.
Let be a Banach space. We use to represent the dual space of . Let and , the pairing between and is denoted as
[TABLE]
We need to define the following time distributional derivative with initial data, which is suitable for our definition of weak solutions:
Definition 1**.**
We say is the time derivative of a function with a given initial data if
[TABLE]
We denote . We say is the time derivative of a function with a given initial data if
[TABLE]
Below, we say for a Banach space if can be continuously embedded into and we can find so that satisfies Definition 1.
Remark 8**.**
Note that if given is not consistent with the intrinsic initial value of , contains some atom at , while on the open interval , agrees with the usual distributional derivative. For example, if we set for while give , then .
Remark 9**.**
In the second part of the definition, for , a necessary condition is that every representative of should be [math] in .
A weak solution of (60) with initial value is a function such that the equations hold in the distribution sense where the time derivative is understood in the sense of Definition 1. In particular, we have:
Definition 2**.**
We say is a weak solution to the -NS equations (60) with initial data on , if it has time regularity in the sense
[TABLE]
and , , , we have
[TABLE]
If , , condition (74) holds and the two integrals in (75) with replaced by hold for all , , , we say is a global weak solution.
Using the notation in (5), we have
[TABLE]
To prove the global existence, we first regularize the -NS equations (60) in Section 7.1 and provide some a priori estimates. Then, we prove a time shift estimate for the regularized solutions in Section 7.2. Based on this time shift estimate and the a priori estimates, we use a variant of Aubin-Lions lemma to conclude the compactness of the class of regularized solutions in for bounded set . We then use the time regularity of the regularized solutions and the limit function to identify some weak limits in Section 7.3. Finally, we conclude the global existence of weak solutions in Section 7.4.
7.1. Regularization and uniform estimates
Pick so that and . Define
[TABLE]
We regularize the -NS equations (60) and initial data to be
[TABLE]
Lemma 1**.**
If () , then there exists such that
[TABLE]
If and , then .
Proof.
Firstly, since is a compact supported function, then and thus
[TABLE]
The second inequality of (78) follows from Young’s inequality for convolution. Lastly, note where is a derivative with some order. The last claim is then clear. ∎
Proposition 3**.**
Suppose and . If System (77) has a strong solution on for some , then
[TABLE]
In particular, the estimates for and have dual symmetry: there exists independent of such that
[TABLE]
Proof.
For the strong solution on , we dot on both sides of the first equation in (77) and integrate on . We have the following relations (all integration domains are ):
[TABLE]
Note that is a positive definite matrix and
[TABLE]
Therefore, letting , we have
[TABLE]
Consequently, we obtain the first inequality in (80):
[TABLE]
and
[TABLE]
Since , . If , it is clear that . Assume . Using Hölder’s inequality,
[TABLE]
Hence,
[TABLE]
The claim is then proved. ∎
Corollary 2**.**
The regularized system (77) has a global strong solution on .
Proof.
The local existence of strong solution is standard. Let be the largest time for the existence of strong solution of (77). By Proposition 3, on , . Hence, by Lemma 1, there exists such that
[TABLE]
This implies that . ∎
7.2. The compactness of
The following lemma is from [34, 28]. We copy down the proof here for convenience.
Lemma 2**.**
Let , then there exists so that , then
[TABLE]
Proof.
Let . Fix (when they are equal, it is trivial). Without loss of generality, we assume .
Denote . Then, we have
[TABLE]
If , and the inequality is trivial.
If , when , then
[TABLE]
When , letting , we have
[TABLE]
∎
Denote the time shift operator:
[TABLE]
Now we prove a crucial time shift estimate for :
Lemma 3**.**
Suppose . uniformly in as .
Proof.
We have for any ,
[TABLE]
We now dot both sides with and integrate on . Below, we show how each terms are estimated.
For in (83), we have by Lemma 2,
[TABLE]
Since is divergence free, the integral for is zero.
For the other terms, we show how to estimate term. The estimates for are similar.
Consider the -Laplacian term. By Young’s inequality:
[TABLE]
The regularization diffusion term is similar,
[TABLE]
Consider the transport term. Applying Gagliardo-Nirenberg inequality, we have
[TABLE]
Therefore,
[TABLE]
Overall, we have
[TABLE]
If , the last term is bounded above by
[TABLE]
Hence, we have
[TABLE]
where is uniform for . ∎
The following lemma is a variant of the traditional Aubin-Lions lemma ([24, 35, 36]):
Lemma 4**.**
Let be Banach spaces, and is a compact mapping (possibly nonlinear). Assume is bounded subset of such that and
- •
* is bounded in ,*
- •
* as uniformly for .*
Then, is relatively compact in .
Here, means the set of functions such that , equipped with the semi-norms . A subset of is called bounded, if , is bounded in .
Proposition 4**.**
There exists a subsequence , and , such that as ,
[TABLE]
Proof.
We now apply Lemma 4. The mapping in Lemma 4 is chosen as the identity map. For any bounded, the embedding of into is compact by the Rellich-Kondrachov theorem, and hence is a compact operator. We now choose in Lemma 4 as , and hence . is bounded in by Proposition 3 and the second condition of Lemma 4 is verified by Lemma 3. As a result, is relatively compact in for any bounded .
Let us take where is compact. Applying Lemma 4, has a subsequence that converges to in . This sequence again has a subsequence that converges to in . By the standard diagonal argument, we can pick out a subsequence such that
[TABLE]
Clearly, in as well. Hence, agrees with on for . Hence, a.e. for a measurable function and agrees with on . As a result, in , or
[TABLE]
Since convergence in implies that there is a subsequence that converges almost everywhere, a diagonal argument confirms that there is a subsequence that converges a.e. to in . Without relabeling, we still use to denote this subsequence.
By Fatou’s lemma
[TABLE]
This implies that a.e.. and is Lipschitz continuous with the Lipschitz constant to be . As a result,
[TABLE]
Now, for a fixed , we can pick a bigger set such that on for any locally integrable function when is small enough.
[TABLE]
We have by the mollifying. For the first, we can easily bound it by
[TABLE]
For any compact set , we have
[TABLE]
By the a.e. convergence, we conclude that
[TABLE]
Further, by the definition, , we find that a.e. and in strongly. It is also easy to see that there is a subsequence without relabeling such that in .
Since is bounded in , the set is weakly pre-compact in . With a diagonal argument again, we are able to pick a subsequence (without relabeling) such that we have the weak convergence for all , . We pick , , . Then,
[TABLE]
where the last equality is by the fact that in . As a result,
[TABLE]
This is true for any . Now, since is separable with the topology of test function, we take a countable dense set . Then, there exists a set measure zero, , such that
[TABLE]
As a result, this equation is actually true and . Hence,
[TABLE]
This then implies
[TABLE]
Lastly, we notice
[TABLE]
We again use the weak compactness and then done. ∎
7.3. Time regularity and identifying
We now show the time regularity of some quantities and identify with . The essential ideas are the same as those in [26] and [28]. The time regularity estimates in this section are used to conclude Equation (93), so that we can conclude Lemma 10. Together the Minty-Browder criterion (Lemma 11), we identify in Proposition 5.
For the convenience of discussion, we introduce
[TABLE]
Since is reflexive when , we conclude that is reflexive since it is a closed subspace of .
Let be reflexive. An operator is called monotone if ,
[TABLE]
By Lemma 2, is clearly monotone. Now, fix . Combining the result in [26] and the fact that in , we have
Lemma 5**.**
* is a bounded, monotone operator and , the mapping is continuous. There is a subsequence without relabeling that*
[TABLE]
and therefore also in , where is given by
[TABLE]
Recall that by Equation (5).
We now consider the weak convergence of time derivatives. First consider the time derivative of :
Lemma 6**.**
Let and denote the set of Radon measures on . Then, is nonnegative and
[TABLE]
where the time derivative is understood as in Definition 1.
Proof.
By (79), nonnegative. while is separable. By Banach-Alaoglu theorem (any bounded set in the dual of a separable space is weak star precompact), there is a subsequence such that
[TABLE]
,
[TABLE]
Hence, in distribution sense as in Definition 1. ∎
We now move onto the time regularity of . We need the projection operator (called Leray projection in some references) that maps a field to a divergence free field. Let be a simply connected domain. Let be the completion of under the norm, and . The following combines Theorem III.1.2 in [31] and relevant discussion there:
Lemma 7**.**
Let and . If , a half-space or a bounded domain with boundary, then the Helmoholtz-Weyl decomposition holds:
[TABLE]
This then defines a projection operator . , there is a constant such that
[TABLE]
Remark 10**.**
In the case is bounded with smooth boundary, though the completion of under is the whole with any boundary conditions, the element satisfies the no-flux boundary condition in the weak sense. To see this, pick with . Pick and in . Clearly, . Taking , we have . By the arbitrariness of , we conclude that satisfies the no-flux condition. If and is the unit disk, though is divergence free (also curl free),
[TABLE]
Remark 11**.**
For general unbounded domains and , the Helmoholtz-Weyl decomposition may not be valid. See [37, 38].
In the case that , Lemma 7 follows directly from the Calderon-Zygmund theory for singular integrals in harmonic analysis ([39, 40]).
If the field is in , we have similarly
Lemma 8**.**
Let , then there exists such that,
[TABLE]
Proof.
Consider the Helmholtz-Weyl decomposition,
[TABLE]
Then, is determined up to a constant by the uniqueness of the decomposition. One of such is given by:
[TABLE]
where is the fundamental solution satisfying in distribution sense. By the singular integral theory [40]
[TABLE]
Note that because we know already the projection operator is bounded from to . ∎
We now show the following time regularity results:
Lemma 9**.**
There exists a subsequence of without relabeling such that
[TABLE]
Further, in where is given in Lemma 5. In particular, , ,
[TABLE]
Proof.
We pick with , and denote . Hence, by Lemma 8,
[TABLE]
Since . We estimate
[TABLE]
The first term is trivially bounded and the second term is bounded as we did in the proof of Lemma 3. For the third term, we apply Gagliardo-Nirenberg inequality and have
[TABLE]
Since for , then the term is bounded.
Therefore, is bounded in by Lemma 5. Hence, there exists , such that
[TABLE]
If we take , we have
[TABLE]
Hence and in by Lemma 5. ∎
Remark 12**.**
If one has a uniform estimate of in , one can have the weak convergence of to in .
Lemma 10**.**
It holds that ,
[TABLE]
Proof.
In Equation (93), we set and get
[TABLE]
Since and , we find and ,
[TABLE]
Taking , we find that,
[TABLE]
Note that and are integrable on by similar argument in Lemma 9. Take the test function where is in . Sending , we find that . Hence,
[TABLE]
In Equation (77), we multiply and integrate,
[TABLE]
The transport term vanishes since .
Letting , by Lemma 6, we have
[TABLE]
Note with . We can pick strongly in , in such that are bounded in , which is achievable for example by mollification of . Let . It follows then
[TABLE]
Secondly, which is dense in under the norm of ,
[TABLE]
Hence, converges weak star to in . Hence, , and we have the chain rule:
[TABLE]
As a result, by (96), (97) and (98), (95) is shown.
∎
We will use the following Minty-Browder argument ([41, Sec. 2.1], [26, Appendix]):
Lemma 11**.**
Suppose is a real reflexive Banach space. Let be a nonlinear, bounded monotone operator such that the mapping is continuous. If in and in and
[TABLE]
then .
Using Lemma 5, Lemma 10-Lemma 11, we are now able to conclude:
Proposition 5**.**
With the settings and notations in Proposition 4, we have that
[TABLE]
Proof.
Let and .
[TABLE]
satisfies all the properties for listed in Lemma 5.
[TABLE]
By Lemma 11,
[TABLE]
Then, it follows that for all ,
[TABLE]
Clearly, for a fixed , we can pick such that
[TABLE]
∎
7.4. Existence of global weak solutions
Now, we are able to claim that
Theorem 1**.**
Consider and , the -NS equations (60) with and have a global weak solution.
Proof.
We first fix and show that the -NS equations (60) have a weak solution on .
Pick and satisfying the conditions in Definition 2. Since is divergence free, we have
[TABLE]
As , since and in , we find
[TABLE]
Now, we dot which is divergence free in Equation (77) and integrate:
[TABLE]
Using the convergence in Proposition 4 and Proposition 5, we take the limit and find that the first equation in Definition 2 is satisfied as well. Hence, is a weak solution on .
Since we have
[TABLE]
where is independent of . Since a.e. in , by Fatou’s lemma
[TABLE]
The time regularity is shown.
Now, we choose , . Suppose we have a subsequence that tends to a weak solution on . Then, for , we pick a subsequence of the current subsequence that converges as in Proposition 4. The limit is a weak solution on and agrees with the weak solution on . By the standard diagonal argument, we can find a subsequence that converges to a function , which is a weak solution on any interval , and therefore a global weak solution. ∎
Acknowledgements
The work of J.-G. Liu is partially supported by KI-Net NSF RNMS11-07444 and NSF DMS-1514826. We also thank the anonymous referee for insightful suggestions.
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