Research Article | Open Access
Young-Sam Kwon, "Asymptotic Limit to Shocks for Scalar Balance Laws Using Relative Entropy", Abstract and Applied Analysis, vol. 2014, Article ID 690801, 7 pages, 2014. https://doi.org/10.1155/2014/690801
Asymptotic Limit to Shocks for Scalar Balance Laws Using Relative Entropy
We consider a scalar balance law with a strict convex flux. In this paper, we study inviscid limit to shocks for scalar balance laws up to a shift function, which is based on the relative entropy.
We consider the following balance law in one-dimensional space : where the flux for some constant and . The existence of global unique weak solutions of (1) has been studied by Kruzkov. In this paper, we are interested in getting the optimal rate of convergence linked to a layer.
Let us consider the shock solutions of the scalar conservation laws with the given source term (1) with the initial data with two constants , where the source term is defined as follows:
Then, the Rankine-Hugoniot condition ensures that the function is a solution to (1) with . Notice that the condition implies that they verify the entropy conditions; that is, for any convex functions , and . An easy dimensional analysis shows that, because of those layers, we may have in general for some which means that the stability for two solutions does not hold. We are interested in deriving the extremal stability up to a shift function. The main result is as follows.
Theorem 1. Let , be any number, and let be such that Suppose that is a solution of (1). Then there exists a Lipschitz curve , , and such that and for any , where , and is defined by (2). Moreover, this curve satisfies
This is stability result to a shock for balance laws up to a shift function. The main point is how to construct a shift function such that the time derivative of the relative entropy is smaller than convergence rate. Our method is based on the method developed in Leger and Vasseur [1, 2] together with using the relative entropy idea and the result cannot be true without shift (see ).
The relative entropy method introduced by Dafermos [3, 4] and Diperna  provides an efficient tool to study the stability and asymptotic limits among thermomechanical theories, which is related to the second law of thermodynamics. They showed, in particular, that if is a Lipschitzian solution of a suitable conservation law on a lapse of time , then for any bounded weak entropic solution it holds for a constant depending on and . Since Dafermos  and Diperna ’s works, there has been much recent progress as applications of the relative entropy method. Chen et al.  have applied the relative entropy method to obtain the stability estimates to shocks for gas dynamics which derive the time asymptotic stability of Riemann solutions with large oscillation for the system of Euler equations. For incompressible limits, see Bardos et al. [7, 8], Lions and Masmoudi , and Saint Raymond et al. [10–13] who have studied incompressible limit problems. There are also many recent results of the weak-uniqueness for the compressible Navier-Stokes equations together with using relative entropy by Germain  and Feireisl and Novotný . For the relaxation there is an application for compressible models by Lattanzio and Tzavaras [16, 17] and we can also see Berthelin et al. [18, 19] as some applications of hydrodynamical limit problems. However, in all those cases, the method works as long as the limit solution has a good regularity such that the solution is Lipschitz. This is due to the fact that strong stability as (10) is not true when has a discontinuity. It has been proven in [1, 2], however, that some shocks are strongly stable up to a shift. Choi and Vasseur  have recently used this stability property to study sharp estimates for the inviscid limit of viscous scalar conservation laws to a shock. With the same idea, Kwon and Vasseur  develop sharp estimates of hydrodynamical limits to shocks for BGK models. For this paper, we derive the optimal rate of convergence to shocks for scalar balance laws up to a shift function . Thus, it generalizes Choi and Vasseur’s work . The outline of this paper is as follows. In Section 2 we introduce relative entropy and some properties used in Leger . In Section 3 we will derive some estimates of the hyperbolic and parabolic part of relative entropy. In Section 4, we will give the proof of Theorem 1 together with combining the estimates in Section 3. Finally, in the Appendix section, we will add the appendix to give the proof of Proposition 7.
2. Relative Entropy and Some Properties
In this section we introduce a special drift function , , defined in Leger  and relative entropy. To begin with we need some notations and properties provided in Leger . Fix any strictly convex function ; we first define the normalized relative entropy flux by where the associated relative entropy functional is given by and the flux of the relative entropy is defined by Note that for any fixed and any weak entropic solution of (1), we have Hence, can be seen as a typical velocity associated to the relative entropy .
Using the strict convexity of the function , Leger showed in  the following lemma.
Lemma 2. Let for any . There exists a constant , such that one has(i), (ii), (iii), (iv), (v).
In the spirit of Leger , we consider the solution of the following differential equation in order to define the shift function : Note that the existence and uniqueness of come from the Cauchy-Lipschitz theorem.
First, is Lipschitz, since we have from Lemma 2 where we used the fact for in the following.
Lemma 3. Let be a solution of (1). Then, for every , one has
The idea of the proof is to study the evolution of the relative entropy of the solution with respect to the shock, outside of a small region centered at (this small region corresponds to the layer localization): Indeed, for , the following holds: for any , where the constant depends on . From now on we will take a reasonable and it will be mentioned in (40) later.
For the rigorous proof, we define the evolution of the integration in (21) as follows: for any fixed and , where an increasing function is defined by From now on we delete in . Thus, the derivative of implies the following lemma.
Lemma 4. The function , defined in (23), satisfies the following on
The proof is provided in Choi and Vasseur . We next need a regularity to control hyperbolic part the lemma is as follows.
Lemma 5. For any , there exists such that one gets
Proof. Taking derivative to (1) for variable , multiplying , and integrating for variable imply We apply the integration by parts to obtain the following regularity (26): Thus, integrating (28) for time variable and using Gronwall’s inequality provide the result (26).
3. Estimates on the Hyperbolic and Parabolic Terms
In this section, we prove that the hyperbolic part in equality (25) is strictly negative and the parabolic part has a small rate of convergence. Applying Lemmas 2 and 5, we are able to show the main proposition for this section.
Proposition 6. Let and be as in Lemma 4. Then, there exists a constant such that, for any , and satisfying we have
Proof. Let us start with proving that is strictly negative. The proof of is similar. With the definition of , we write as
where . Using Lemma 5 we find
We next observe that , , , is strictly negative. To do this, we rewrite the function as
For , Lemma 2 and the inequality (32) imply that
for small enough. Since , and , we get
Similarly, we also obtain that
Consequently, combining the two last inequalities gives the desired result.
We are now going to introduce the parabolic term, , and the proof is provided in  (see Appendix).
Proposition 7. Let be given in Lemma 4. Then, there exists a constant such that the following inequality holds:
4. Proof of Theorem 1
From Lemma 4, Proposition 6, and Proposition 7, we get Applying the change of variables and changing by if necessary, we find To get good estimate, we take a specific . For any , we now fix the function in the following explicit way: We use the computation:
For the proof of (I), we integrate the estimate of Proposition 7 between and such that, for any , with and , where is the constant from Proposition 7, it follows that which implies that By taking , we have, for any , Let us observe that where we have here used the mean value theorem and the definition of source term (3). Consequently, using inequlaities (22), (44), and (45) and taking , we get, for any , for any , which proves (6) by taking and applying Gronwall’s inequlity.
To end with the proof, it remains to prove (9). Let us define the function by Let and let . Multiplying to (1) and integrating in , we get By using the above observation, we have Then we integrate the above equation in time on to get
Consequently, taking provides the estimate (9).
In this section we are going to give the proof of Proposition 7. First, we estimate the term . Integrating by parts, we obtain Then, using Hölder’s inequality and Lemma 2, we get In the same way, we obtain the following estimate for : Combining the two last inequalities, we find which provides the proof of Proposition 7 thanks to the boundedness of and .
Conflict of Interests
The author declares that there is no conflict of interests regarding the publication of this paper.
The work of Young-Sam Kwon was supported by the research fund of Dong-A University.
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