Stress-diffusive regularizations of non-dissipative rate-type materials
Jan Burczak, Josef M\'alek, Piotr Minakowski

TL;DR
This paper introduces stress-diffusive regularizations for non-dissipative elastic rate-type materials, enabling well-posedness of the model's equations where previous models lacked such guarantees.
Contribution
The authors propose novel stress-diffusive regularizations that ensure well-posedness for elastic rate-type models, focusing on regularizations only in the stress evolution equation.
Findings
Established well-posedness for regularized models in two-dimensional periodic settings.
Demonstrated regularizations enable mathematical analysis of non-dissipative materials.
Contrasted new results with existing models lacking such regularizations.
Abstract
We consider non-dissipative (elastic) rate-type material models that are derived within the Gibbs-potential-based thermodynamic framework. Since the absence of any dissipative mechanism in the model prevents us from establishing even a local-in-time existence result in two spatial dimensions for a spatially periodic problem, we propose two regularisations. For such regularized problems we obtain well-posedness of the planar, spatially periodic problem. In contrast with existing results, we prove ours for a regularizing term present solely in the evolution equation for the stress.
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Stress-diffusive regularizations
of non-dissipative rate-type materials
Jan Burczak
Institute of Mathematics, Polish Academy of Sciences, Śniadeckich 8, 00-656 Warsaw, Poland
OxPDE, Mathematical Institute, University of Oxford, Andrew Wiles Building, Radcliffe Observatory Quarter, Woodstock Road, Oxford OX2 6GG, United Kingdom
Josef Málek
Charles University, Faculty of Mathematics and Physics, Mathematical Institute, Sokolovská 83, 186 75 Prague 8, Czech Republic
Piotr Minakowski
Heidelberg University, Interdisciplinary Center for Scientific Computing, Im Neuenheimer Feld 205, 69120 Heidelberg, Germany
University of Warsaw, Institute of Applied Mathematics and Mechanics, Banacha 2, 02-097 Warsaw, Poland
Abstract
We consider non-dissipative (elastic) rate-type material models that are derived within the Gibbs-potential-based thermodynamic framework. Since the absence of any dissipative mechanism in the model prevents us from establishing even a local-in-time existence result in two spatial dimensions for a spatially periodic problem, we propose two regularisations. For such regularized problems we obtain well-posedness of the planar, spatially periodic problem. In contrast with existing results, we prove ours for a regularizing term present solely in the evolution equation for the stress.
To Tomáš Roubíček on the occasion of his 60th birthday.
1 Introduction
Elastic materials are bodies that are not capable of producing entropy or, in a purely mechanical context, of dissipating energy. Due to this characterization they are called non-dissipative materials.
Starting from this thermodynamic point of view and from the assumption that the mechanism in which a material stores energy is encoded into the constitutive equation for the Gibbs potential, whereby the Gibbs potential is a function of the Cauchy stress, Rajagopal and Srinivasa have in a series of papers (see in particular [35, 36]) extended the framework of elasticity to rate-type materials; see Rajagopal [32, 33, 34] for further details including the references and comments to earlier achievements, in particular to the concept of hypoelasticity introduced in Truesdell [40]. Besides providing a new class of non-dissipative bodies, the advantage of this approach lies in the fact that it only uses quantities defined in the current configuration. Consequently it does not require introducing notions of a reference state or any type of strain. Hence a fully Eulerian theory of elasticity is applicable, for example, to the processes concerning biological matter where, due to the fact that cells are born and die, it is reasonable to consider only quantities at a current time and at a given position.
This fully Eulerian Gibbs-potential-based thermodynamic approach has been further extended to describe the response of visco-elastic materials, see Rajagopal and Srinivasa [36], or to model severe plastic deformations of a crystalline solid treated as a material flow through an adjustable crystal lattice space, see Kratochvíl et al. [22].
Our original intention has been to develop a mathematical theory for initial and boundary-value problems involving such a class of elastic (non-dissipative) models. To be more specific, restricting ourselves to materials where the density is uniform and considering only isothermal processes, we wish to analyse, in a -dimensional domain , the following set of partial differential equations (PDEs):
[TABLE]
where stands for the velocity, for the spherical part of the Cauchy stress (the pressure), for the deviatoric part of the Cauchy stress111Divided by the constant density. that is supposed to be symmetric (), and stand for the symmetric and antisymmetric parts of the velocity gradient, i.e. by definition and , respectively. The symbol signifies the operator .
In order to understand the basic mathematical features of (1), we eliminate the influence of the boundary by assuming that is a periodic cell and by considering , , that are periodic. Since222The energy identity (2) is obtained by adding the result of scalar multiplication of (1b) by to the result of scalar multiplication of (1c) by , see also Sections 3.1.1 and Appendix - Main difficulty in proving well-posedness of (1) for details.
[TABLE]
and in addition333This feature has been successfully exploited in [27] for establishing the first global-in-time existence result for large data with respect to rate-type visco-elastic fluid models in three-dimensions.
[TABLE]
one may, at the first glance, pose a conjuncture that the existence theory for the Euler equation (obtained formally by setting in (1b)), as developed for example in Kato [19], can be successfully extended to (1).
As indicated in the Appendix, this approach to developing local-in-time existence theory seems to be inapplicable to (1) even in two spatial dimensions. Consequently we leave this conjecture as an interesting open problem and propose to study two different regularisations obtained by adding the terms or to (1c):
[TABLE]
For the first regularization, we observe that, instead of (2), one has
[TABLE]
This information turns out to be strong enough for establishing the long-time existence and uniqueness of a weak solution possessing certain higher regularity. We are not aware of any physical meaning of this type of regularization.
The second, weaker regularization leads to
[TABLE]
and it suffices for a short-time existence result or a global existence result for small initial data. A physical justification for the diffusive regularizing term can be found in the literature. For example, as was pointed out in [3, 4, 2], an Oldroyd–B type model with stress diffusion can be derived from a Navier–Stokes–Fokker–Planck system arising in the kinetic theory of dilute polymeric fluids, where polymer chains immersed in a barotropic, incompressible, isothermal, viscous Newtonian solvent, are idealized as pairs of massless beads connected with Hookean springs. Moreover, non-dimensionalization leads to the conclusion that the dissipation parameter takes the values in the interval and is thus almost negligible.
Besides the goal to identify (1) as an interesting model of elasticity worthy of further mathematical investigation, the aim of this paper is to show well-posedness for these two regularized problems.
The paper is organised as follows. We first recall, still in Section 1, the derivation of (1) based on a Gibbs-potential-based thermodynamical framework. We also provide a brief overview regarding the PDE analysis of rate-type visco-elastic models. Then, in Section 2 we formulate Theorem 1 and Theorem 2 concerning well-posedness of the regularized problems considered. We prove these results in subsequent sections.
1.1 Gibbs-potential-based thermodynamic derivation of (1)
Let a body, considered at the current instant , be identified with a bounded open set . The position of any particle at the current instant is denoted by and its velocity by . The mass density of the material is denoted by and the Cauchy stress by . The governing balance equations for mass, linear and angular momenta (in the absence of body forces) and energy (in the absence of heat sources) as well as the formulation of the second law of thermodynamics take the following form:
[TABLE]
where the material time derivative of a scalar function is given by (for a vector and tensor-valued function, the same relation is applied to each component). In the above equations, stands for the specific internal energy, for the heat flux vector, for the specific entropy, for the temperature and for the specific rate of entropy production; here we tacitly assume that the entropy flux is of the form .
We shall consider incompressible materials with uniform density, i.e.,
[TABLE]
Decomposing the Cauchy stress as
[TABLE]
and setting , and , the governing system of equations (6a)-(6c) reduces to
[TABLE]
Next, let us introduce the specific Helmholtz free energy and the specific rate of dissipation through
[TABLE]
With this notation, the equations (6d) and (7)3 lead to the following equation for the rate of dissipation:
[TABLE]
Following the Gibbs-potential-based thermodynamic framework as developed by Rajagopal and Srinivasa in [36], we assume that the specific Gibbs potential, denoted by , is a function of the temperature and , i.e.,
[TABLE]
We also require that the Helmholtz free energy, the internal energy and the entropy, considered as functions of and , satisfy
[TABLE]
Inserting the first and third of these relations into (8), we obtain
[TABLE]
In what follows, we restrict ourselves to isothermal processes. Then the equation (11) reduces to
[TABLE]
We thus arrive at a representation of thermodynamics associated with the specification of the Gibbs potential (as given in (9)). The achieved form of (12) has, however, the following defficiency: while and are both objective tensors, and consequently are not objective tensors.
In [36], Rajagopal and Srinivasa propose two approaches to overcome this difficulty. While the second one is more general and provides a possibility to include anisotropic responses, we shall recall the first approach here, as it is the simplest way for completing the derivation of the system (1) considered.
Let us first consider a particular form of the Gibbs potential, namely . Then (12) simplifies to
[TABLE]
Using the orthogonality condition (3), we easily observe that (13) can be rewritten as
[TABLE]
A remarkable difference between (13) and (14) is that the term in (14) is objective while in (13) is not.
Requiring further that the dissipation rate in (14) vanishes for arbitrary , we obtain
[TABLE]
which is (1c). The other governing equations, namely (1a) and (1b), are stated in (7).
1.2 An overview of known results
As follows from the above derivation, there are no dissipative terms present in (1). Consequently, the structure of the equation (1b) seems identical to the Euler equations with the external force . Therefore, the results regarding the solvability of the Euler equation might be important in the context of the analysis of our problem. Unfortunately, the available local-in-time existence and uniqueness results for the Euler equation (see in particular [25, 18, 42, 19, 29]) do not seem to be applicable to (1) due to the fact that the right-hand side of (1b) is not regular enough. The difficulties connected with this approach are presented in Appendix.
Alternatively, one could follow a recent approach developed by DeLellis and Székelyhidi (see [12] and [13]), based on the convex integration and Baire’s category principle, that provides the global-in-time existence of (infinitely many) weak solutions to the Euler system for a subset of initial data that is dense in , see in particular Wiedemann [41]. This result has been strengthened by Chiodaroli, Feireisl and Kreml in [9] who considered the compressible Euler-Fourier system and proved that for arbitrary smooth positive initial density and temperature there is a bounded initial velocity so that the considered initial spatially-periodic problem admits infinitely many weak solutions that emanate from this fix set of initial data and satisfy the first law of thermodynamics (conservation of energy). Such results are thus closely related not only to the original system (1) but also to its regularization by studied in this paper.
Regarding available analytical studies concerning weak solutions to stress-diffusive models, it is worth noting that all of them concern systems where the balance of linear momentum contains additional diffusion of the type . More specifically, the existence of a global weak solution to the Oldroyd-B model with stress diffusion was proved in two space dimensions by Barrett and Boyaval [3] (see also Barrett and Süli [4] or Lukáčová-Medviďová et al. [28]). Regularity of solutions of the Oldroyd-B equations in two spatial dimensions with spatial diffusion of the polymeric stress tensor have been proved in Constantin and Kliegl [11], where the authors take advantage of the nonnegativity of the polymeric stress matrix, which is preserved under diffusive evolution. Recently Chupin and Martin [10], addressed the stationary Oldroyd-B model with a diffusive stress, from both an analytical and a numerical perspective. The authors investigated, by means of numerical simulations, the behaviour of the model with respect to vanishing diffusion, and concluded that solutions of the diffusive model converge to solutions of the non-diffusive model at order in the norm. Moreover, numerical stability of the effect of including the stress-diffusive term into the classical Oldroyd-B constitutive equation has been studied in [39].
Let us re-emphasize that in the references mentioned above the authors take advantage of the presence of regularizing terms both in the momentum equation and in the evolution equation for . In contrast, our results require the regularization only in the equation for the stress.
For the sake of completeness, let us provide an overview of results concerning existence of solutions to visco-elastic fluids models, in particular to the Oldroyd-B model. There are several classes of visco-elastic fluid models that differ from our model by the presence of the dissipative term in the balance of linear momentum (typically in the form ), by the different form of the objective derivative and by the presence of other terms.
To the authors’ knowledge, the first result on incompressible Oldroyd-B fluids was obtained by Guillopé and Saut [17]. The result concerns local-in-time existence of regular solutions as well as existence of global-in-time solutions for small initial data in a Hilbert framework. The main obstacle to obtaining existence results in the large was the fact that, in general, there is no appropriate energy estimate for such a non-Newtonian fluid. (As a review paper in this direction, we refer to Fernández-Cara, Guillén and Ortega [15].) Despite this difficulty, Lions and Masmoudi established in [27] existence of global weak solutions for a model with the Zaremba-Jaumann derivative. This seems to be one of the most significant results in this area. The authors use essentially that additional energy estimates are available for the Zaremba-Jaumann objective time derivative. The result by Lions and Masmoudi was generalised by Bejaoui and Majdoub in [5], where the authors replaced the Laplacian term by with a tensorial function , which is , monotone, coercive and enjoys a -growth with in two dimensions ( for ).
For well-posedness results in scaling-invariant Besov spaces, we refer to the work of Chemin and Masmoudi [8], where they also provide certain blow-up criteria, both for two and three dimensions. Further interesting results concerning the local well-posedness of the initial-boundary-value problem for Oldroyd-type fluids have been obtained in several other studies, see Liu et al. [26] or Liu et al. [24].
Results for the compressible Oldroyd-B model are much scarcer. Lei [23] proved the local and global existence of classical solutions for a compressible Oldroyd-B system in a torus with small initial data. He also studied the incompressible limit problem and showed that compressible flows with well-prepared initial data converge to incompressible ones when the Mach number converges to zero. Strong solutions of three-dimensional flows of compressible Oldroyd-B fluids were studied in Fung and Zi [14]. Recently, Barrett et al. [2] established long-time and large-data existence of weak solutions to compressible Oldroyd-B fluids with stress diffusion.
All of the results mentioned above take advantage of the presence of the Newtonian stress tensor in the balance of linear momentum and, consequently, of the boundedness of the velocity gradient in a Lebesgue space (typically ). Such a piece of information however does not follow from the first a-priori estimates for the systems considered here.
2 Main result
In what follows we set
[TABLE]
We will assume that all functions considered are spatially -periodic and that their mean values over vanish. For spatially -periodic functions, we employ standard notation for the function spaces considered, see for example [16, 31] for appropriate definitions of -periodic function spaces.
2.1
Regularization by : global-in-time existence
Let us first consider the system of partial differential equations model (1) regularized by adding the term to the left-hand side of (1)3. Since we are unable to pass to the limit with , for the sake of brevity we set in what follows.
The formulation of the problem is thus the following: for given -periodic initial data , find , , and that are -periodic and satisfy
[TABLE]
Let us now specify our notion of a weak solution of (15). By we will denote the duality pairing between and for or between , for .
Definition 1**.**
We say that a couple satisfying
[TABLE]
[TABLE]
is a weak solution to the problem (15) if for all -periodic such that and and for all -periodic with the following integral identities hold:
[TABLE]
and, in addition, for all time independent, -periodic and smooth and
[TABLE]
Remark 1**.**
Observe that for (16b) we need . But the assumption automatically implies it, in our simple setting of periodic functions with zero means.
Theorem 1** (Global-in-time existence and higher regularity).**
Let and be -periodic. Then, there exists a global in time weak solution to the problem (15). Moreover, the initial condition is attained in the sense , and the following higher regularity estimates hold:
[TABLE]
where . Furthermore, the weak solution satisfying (17) is uniquely determined by the initial data.
2.2 Regularization by : local-in-time or small data existence
For the second regularization of the system (1), obtained by adding to the left-hand side of (1)3, we will be able to prove, for fixed , a weaker existence result: we either restrict ourselves to a short time interval or we establish a global in time existence result for small initial data.
We investigate the following problem444Again, we set as taking the limit is beyond the scope of this paper.: for given -periodic initial data , find , and that are -periodic and satisfy
[TABLE]
Let us now clarify what we mean by a weak solution to (18).
Definition 2**.**
A couple satisfying
[TABLE]
[TABLE]
is called a weak solution to the problem (18) if, for all -periodic such that and and for all -periodic with , the following integral identities hold:
[TABLE]
and for all time-independent, -periodic and smooth and
[TABLE]
The following existence result holds.
Theorem 2** (Local-in-time existence/small-data global-in-time existence).**
There exists a (a constant related to certain interpolations and embeddings) such that for any , the problem (18) admits a weak solution provided that for and one of the following conditions holds:
- (i)
;
- (ii)
.
The initial condition is attained in the sense and . Moreover, this solution satisfies the following higher regularity estimates:
[TABLE]
[TABLE]
with under hypothesis (i) and under hypothesis (ii), as well as
[TABLE]
[TABLE]
Furthermore, the weak solution to (18) satisfying (20)–(23) is uniquely determined by the initial data.
2.3 Logarithmic Sobolev inequality
The logarithmic Sobolev inequality plays a crucial role in our analysis for the derivation of a-priori estimates. These kinds of critical Sobolev inequalities have been extensively studied in the context of the Euler equations, see for example Kozono [21, 20]. The special case, that we use here, was given by Brezis and Gallouet [6] (see also Brezis and Wainger [7]), where the authors studied the nonlinear Schrödinger equation.
Proposition 1**.**
Let and with boundary satisfying the strong local Lipschitz condition [1, 4.9]. Then the following Brezis–Gallouet inequality holds, see [6]:
[TABLE]
where
The inequality (24), for complex valued functions, was proved in [6]. For the sake of completeness, we recall below the proof of (24). For a bounded domain satisfying the strong local Lipschitz condition, there is a bounded extension operator from to , see [38, Chapter VI]. Let us write and let denote the Fourier transform of . We have
[TABLE]
Proof.
(Proposition 1)
[TABLE]
Inequality (28) holds for every . We put and by (27) we get
[TABLE]
Since is a continuous extension of , one obtains (24). ∎
3 Proof of Theorem 1
3.1 A priori estimates
We first collect the a priori estimates related to the problem (15).
Proposition 2**.**
Let and . For sufficiently smooth and satisfying (15) the following bounds hold:
[TABLE]
3.1.1 First a priori estimate
Taking the scalar product of (15b) and and integrating the result over we obtain
[TABLE]
Integrating the last three terms by parts, using the assumption of -periodicity and incorporating the divergence free condition (15a), we conclude that
[TABLE]
where we have also employed the symmetry of .
Next, taking the scalar product of (15c) and and integrating the result over , we get
[TABLE]
Performing integrations by parts in the second and the fourth terms (using the periodicity of functions to eliminate the boundary integrals) and using (15a), we obtain
[TABLE]
Since, due to symmetry of (see also (3)),
[TABLE]
we conclude that
[TABLE]
Taking the sum of (29) and (31), noticing the mutual elimination of their right-hand sides and integrating the result over time, we finally arrive at
[TABLE]
3.1.2 Second a priori estimate
We take the scalar product of (15b) and , integrate the result over , perform integration by parts and deduce, using again the periodicity of , that
[TABLE]
Since implies that , the term vanishes (see [16] or [30] for details). As a consequence, we conclude from (33) that
[TABLE]
Next, we take the scalar product of (15b) and and integrate over . We obtain
[TABLE]
which leads to
[TABLE]
where we have used the following identity (valid for fulfilling ):
[TABLE]
Hence, we have
[TABLE]
Summing (34) and (36) and taking advantage of the cancellation of their right-hand sides, we arrive at
[TABLE]
As there seems to be no cancellation concerning the terms on the right-hand side of (37), the next step consists in estimating them. For the first term we apply the embedding theorem, the Ladyzhenskaya interpolation inequality and (32):
[TABLE]
In order to treat the second term we use the logarithmic Sobolev inequality (24) in the following way:
[TABLE]
To summarize, using (37), (38) and (39), we deduce that
[TABLE]
For simplicity, we increase the right-hand side of (40) by adding some positive terms and taking advantage of the fact that and obtain
[TABLE]
Let us denote and rewrite (41) as
[TABLE]
where (). Consequently,
[TABLE]
Recalling the definitions of and , the last inequality implies that, for all ,
[TABLE]
Finally, (43) and (32) imply that, for all ,
[TABLE]
3.1.3 A priori estimates for the time derivative of and
In order to gain compactness for , and , we estimate their time derivatives. First, note that (for brevity, the space is denoted by in the following lines)
[TABLE]
Consequently, with help of (32) and (44), we obtain
[TABLE]
In order to estimate , we take the scalar product of (15c) and and integrate the result over . This leads to
[TABLE]
Hence
[TABLE]
where
[TABLE]
[TABLE]
and further, with help of the logarithmic Sobolev inequality (24)
[TABLE]
due to (44) and finally
[TABLE]
we conclude that is bounded in uniformly w.r.t. time . Consequently is bounded uniformly in and it then follows from (47), using Young’s inequality, that
[TABLE]
Referring to (32), (44), (46), and (51) we observe that the assertions of Proposition 2 are thus proved.
3.2 Galerkin approximation
We prove Theorem 1 by means of a Galerkin approximation. Following a standard procedure we employ orthonormal countable bases, and , of the spaces and , respectively.
Let be fixed. The functions and are called the th Galerkin approximation, if solve the system of ordinary differential equations
[TABLE]
with the initial conditions where and are proper orthogonal continuous projections.
The existence of continuous functions , that solve (52), follows from the classical Carathéodory theorem. The uniform estimates, that we state in the next section, enable us to extend the solution onto the whole time interval .
3.3 Limit
Recalling the energy estimates from Section 3.1, it is not difficult to see that the th Galerkin approximation satisfies, for arbitrary, the following estimates:
[TABLE]
[TABLE]
[TABLE]
Thanks to the above estimates that are uniform with respect to , sequential weak or *-weak precompactness of the function spaces involved, and thanks to the identification of the time derivative of a limit function with the limit of the time derivative via the distributional formula for the time derivative, we observe that for a selected (not relabelled) subsequence we have
[TABLE]
Weak convergence suffices to take the limit in the linear terms in (52). Moreover, since
[TABLE]
we get, thanks to the Aubin–Lions compactness lemma, see for example [37], the following strong convergence results
[TABLE]
[TABLE]
This allows us to take limit in the nonlinear terms
[TABLE]
To illustrate this, let us consider one term of (54):
[TABLE]
A standard (similar) approach is used in order to take the limit in the convective terms. Consequently, we can conclude that , satisfy (16a), (16b). Moreover, the uniform estimates mentioned above and the weak lower semicontinuity of respective norms imply the estimates for the functions and as stated in Theorem 1. In addition, thanks to standard space-time interpolation of and we obtain (see for example [37]). Similarly, . Hence
[TABLE]
To verify the statements of Theorem 1 regarding the initial conditions, it thus remains to check that and . For this purpose, we multiply both equations in (52) by satisfying and integrate over the time interval . Then, integration by parts with respect to time leads to (),
[TABLE]
Next, letting and referring to the completeness of and in and , respectively, we get, for smooth spatial test functions and , the following identities:
[TABLE]
Since by properties of a generalized derivative one has
[TABLE]
comparing (16a), (16b) with (57) and choosing we obtain
[TABLE]
Hence , a.e. and by virtue of (55) we have
[TABLE]
We have thus proved that is a weak solution to (15). The proof of uniqueness of the weak solution fulfilling the established regularity results is standard. The proof of Theorem 1 is complete.
4 Proof of Theorem 2
4.1 A priori estimates
Proposition 3**.**
Let , and . For sufficiently smooth and satisfying (18) assume that either or , where and is an absolute constant related to certain interpolations and embeddings. Then
[TABLE]
[TABLE]
where under the hypothesis and under the hypothesis . Moreover,
[TABLE]
[TABLE]
Proof.
The first energy estimate (60) is arrived at along the lines giving (32) for (15). The second energy estimate yields (see Subsect. 3.1.2 for details)
[TABLE]
[TABLE]
The convective term is estimated by means of interpolation and Young’s inequalities as follows:
[TABLE]
To estimate the second term on the right-hand side of (65) we employ Agmon’s inequality (in 2d) and obtain (using also (60))
[TABLE]
Summing up (64) and (65), using (66) and (67), and setting , we conclude that
[TABLE]
since . If we set and , then (68) takes the form . Since
[TABLE]
we conclude that, for ,
[TABLE]
which implies the first desired estimate under the assumption on the smallness of the time interval, i.e. .
Let us now justify the same estimate under the assumption that the initial data are small in the relevant norms. Starting from the first inequality given in (68) and using the notation introduced above and estimating by , we obtain , which leads to
[TABLE]
Assuming that and that is continuous in time, we set
[TABLE]
We will argue that cannot be finite. Indeed, assuming that and integrating (69) over (noting that is the first possible time where ), we conclude that . Consequently, , which contradicts to the fact that is finite. Hence, using again (69), we observe that, for any finite time ,
[TABLE]
which gives (61). The value of the constant follows from the choice of .
It remains to estimate the time derivatives of and . Since the systems (15) and (18) differ only in the stress evolution equation, the estimation (62) of follows from (45) and (61).
In order to estimate , we take the scalar product of (18c) and and integrate the result over . This yields
[TABLE]
Hence
[TABLE]
where
[TABLE]
Proceeding similarly as in Subsect. 3.1.3, it is possible to show that is bounded in . Young’s inequality thus implies (63).
∎
4.2 Galerkin approximation
We proceed similarly as in the proof of Theorem 1 and apply the same Galerkin scheme. Here, the functions and solve the following system of ordinary differential equations:
[TABLE]
The existence of continuous functions , that solve (71), follows from the classical Caratheodory theorem.
4.3 Uniform estimates and Limit
At this juncture, we can “repeat” the a priori estimates established for the sufficiently regular solution discussed in Subsect. 4.1. Similarly as in the proof of Theorem 1 we conclude corresponding weak and *-weak convergences for selected but not relabelled subsequences of and . Repeating the arguments from Section 3.3 we also obtain the following strong convergence results:
[TABLE]
[TABLE]
Consequently, we can take the limit in all terms of the governing equations and conclude that and satisfy (19a) and (19b).
Moreover, thanks to the space-time interpolation of and we obtain . Similarly, . Hence
[TABLE]
The procedure of checking the attainment of the initial conditions proceeds in a similar way as in Section 3.3: we have to show that and . To prove these, we multiply (71) by satisfying and integrate over . Then we integrate by parts w.r.t. time and take the limit as in (56). Due to the completeness of the bases and in and , we get for smooth spatial test functions and the following identities:
[TABLE]
Using the relations (58) and (59) and comparing (19a) and (19b) with (73), we conclude (by choosing ) that
[TABLE]
Hence , a.e. and owing to (72) we observe that
[TABLE]
We have proved that is a weak solution to (18) and have completed the proof of Theorem 2, since the proof of uniqueness of the weak solution fulfilling the established regularity results is again standard.
Appendix - Main difficulty in proving well-posedness of (1)
Let us discuss the fundamental difficulties that obstruct the proof of local-in-time well-posedness of the system (1). We are interested in solving the spatially periodic problem. We can treat the equation (1b) as an Euler equation with the right-hand side . Therefore, we apply the strategy that was used to show the local-in-time existence of a weak solution to the Euler equation, namely we perform first a priori estimates and then the estimates for the third derivatives.
We take the scalar product of (1b) and the velocity and integrate over :
[TABLE]
which leads to
[TABLE]
Further, we take the scalar product of (1c) by and integrate over :
[TABLE]
which implies that
[TABLE]
We sum up (74) and (75) and obtain
[TABLE]
Equation (32) gives uniform a priori estimates on and in the following function spaces
[TABLE]
Note that unlike the Oldroyd-type models the first a-priori estimate does not give any bound on the gradient of the velocity.
Next, we proceed to the estimates on the third spatial derivatives of and . We apply to (1b) and take the scalar product with . After integration over , we obtain
[TABLE]
Analogously, we apply to (1c) and take the scalar product of the result with . This, after integration over , leads to
[TABLE]
The convective terms are estimated in the standard way. An important feature is the cancellation of the highest order term, as in (35):
[TABLE]
[TABLE]
The obstacle is the co-rotational term , or, more precisely, one of its terms, , which contains fourth derivatives of the velocity. Even if we restrict ourselves to planar flows, the difficulty persists. Indeed, in two dimensions we have
[TABLE]
where . Hence, we get
[TABLE]
[TABLE]
Consequently, the most difficult term takes the form
[TABLE]
Despite our efforts to incorporate the equation for and its third derivatives, or to use the stream function, we were not able to control the last term by and .
Acknowledgements
J. Burczak was supported by MNiSW "Mobilność Plus" grant 1289/MOB/IV/2015/0. J. Málek and P. Minakowski acknowledge the support of the project P107/12/0121 financed by the Grant Agency of the Czech Republic. J. Málek was also supported by the ERC-CZ project LL1202 financed by MSMT, Czech Republic. P. Minakowski acknowledges also the support of National Science Centre of Poland, grant number 2012/07/N/ST1/03369. The authors thank Piotr Gwiazda for general discussions on this topic.
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