Global Smooth Radially Symmetric Solutions to a Multidimensional Radiation Hydrodynamics Model
Abstract
The motion of a compressible inviscid radiative flow can be described by the radiative Euler equations, which consists of the Euler system coupled with a Poisson equation for the radiative heat flux through the energy equation. Although solutions of the compressible Euler system will generally develop singularity no matter how smooth and small the initial data are, it is believed that the radiation effect does imply some dissipative mechanism, which can guarantee the global regularity of the solutions of the radiative Euler equations at least for small initial data.
Such an expectation was rigorously justified for the one-dimensional case, as for the multidimensional case, to the best of our knowledge, no result was available up to now. The main purpose of this paper is to show that the initial-boundary value problem of such a radiative Euler equation in a three-dimensional bounded concentric annular domain does admit a unique global smooth radially symmetric solution provided that the initial data is sufficiently small.
Keywords: Multidimensional radiative Euler equation; Global smooth radially symmetric solution; Symmetric hyperbolic system; A priori estimates.
1 introduction
In the modeling of astrophysical flows, reentry problems, or high temperature combustion phenomena, we have to deal with high-temperature fluids and when the temperatures of the fluids are more than 10000K, radiative effect should be taken into consideration ([1], [2]).
In fact, when fluid interacts with radiation through energy exchange, since the momentum caused by the radiation can be neglected, while the radiative flux must be added into the energy equation since the transport of energy carried by the radiation process is more important, we can then use the following radiative Euler equations, which is a compressible Euler system coupled with an elliptic equation for radiation flux, as an approximate system to describe the motion of radiation hydrodynamics (For more Physical background, we refer to Chapter \@slowromancapxi@ and \@slowromancapxii@ in [23], and for derivation of the equation for radiation flux, one can also refer to [9] and [26]):
(1.1) |
Here are positive constants. The primary dependent variables are the fluid density , the fluid velocity , the absolute temperature , and the radiative heat flux . The pressure , the internal energy , and the other three thermodynamic variables the density , the absolute temperature , and the specific entropy are related through Gibbs’ equation .
Throughout this paper, we consider only ideal, polytropic gases:
(1.2) | |||||
where (specific gas constant) and (specific heat at constant volume) are positive constants. Without loss of generality, we assume in the rest of this paper that .
Due to the high nonlinearities of the rariative Euler equations (1.1) and the complex physical phenomena described by it, its mathematical theory is one of the hottest topics in the field of nonlinear partial differential equations. The main observation is that, although solutions of the compressible Euler system will generally develop singularity no matter how smooth and how small the initial data are (one can refer to John [10], Lax [12], Sideris [22] and the book [3]), it is believed that the radiation effect does imply some dissipative mechanism, which can guarantee the global regularity of the solutions to radiative Euler equations at least for small initial data. One of the main mathematical problems concerning the radiative Euler equations (1.1) is to justify the above expectation rigorously.
For such a problem, the results for one-dimensional case are quite complete, one can refer to Kawashima et al. [11] for the global existence of classical solutions and Deng and Yang [4] for pointwise structure. About the stability of elementary waves, one can refer to Lin et al. [15] and [16] respectively for the existence and stability of shock wave, Lin [14] for rarefaction wave and Wang and Xie [27] for viscous contact wave. As for the composite of several elementary waves, there are Fan et al. [6] about two viscous shock waves, Xie [28] about viscous contact wave and rarefaction waves. There are results with respect to some asymptotic limit of the radiation hydrodynamics towards elementary waves, we refer to Huang and Li [8], Wang and Xie [25] and Rohde et al. [20].
While for the multidimensional case, to the best of our knowledge, no result was available up to now. The main purpose of this paper is to show that the initial-boundary value problem of such a radiative Euler equations in a three-dimensional bounded concentric annular domain does admit a unique global smooth radially symmetric solution provided that the initial data is sufficiently small.
Now we transfer the system in our case to a desired form. Since all thermodynamics variables as well as the entropy can be written as functions of any two of them, if we take and as independent variables, the system (1.1) can be rewritten in terms of , , and as
(1.3) |
Here to deduce the last equation in (1.3), we have used the fact that
We consider the system (1.3) in a bounded concentric annular domain with prescribed initial data
(1.4) |
and boundary conditions
(1.5) |
Now we study the spherically symmetric classical solution to the initial boundary problem (1.3)–(1.5) with the form that
The corresponding spherical form of the initial boundary value problem (1.3)–(1.5) reads
(1.6) |
with the corresponding initial and boundary conditions
(1.7) | |||||
(1.8) |
Now we interpret the initial boundary value problem (1.3)–(1.8) into Lagrangian coordinates. We now use to find another set of variables such that
and is not dependent on , which is called Lagrangian coordinate. Define coordinate transformation that
(1.9) |
where is defined by following way: First, define the function as
Since that (which is assumed in Theorem 1.1), function is invertible and is well defined. Then, is defined as
(1.10) |
We claim that the coordinate is Lagrangian coordinate. The first thing we want to show is that is truly not dependent on . So we now prove that and
(1.11) |
From and (1.9), we can see that
(1.12) |
The second equality holds because after spherically symmetric transform, the equation of takes the form that
(1.13) |
We integrate (1.12) over to get that
Without loss of generality, we set , so that . Since , without confusion, we still use to denote the time variable and we have
The next thing we need to know is that whether this coordinate transformation is well-posed. From the a priori estimates which we are going to derive later , it can be seen that , so the coordinate transformation is well-posed and identities (1.11), (1.9) imply
(1.14) |
By virtue of (1.14), the system (1.6) is reformulated to that of , which takes the form
(1.15) |
where , . The corresponding initial and boundary conditions are
(1.16) | |||||
(1.17) |
where the symbol denotes composition, and is defined by (1.10).
To state our main result, we first introduce some notations.
Firstly, the initial data ,,, (for any integer ) are defined inductively by following procedure: first apply () on system (1.15); second obtain by letting in the last elliptic equation and solving it; Third obtain by solving for in the first three equations and evaluating at .
In order to clarify the space of solutions, we introduce the space
with norm
According to the above definitions, the value is well-defined. Furthermore, if we assume is sufficiently small, it holds that
(1.18) |
Here and in the rest of this paper, we will frequently use , , to denote some positive constants which are continuous nondecreasing functions of the quantities listed in braces.
Especially, is the norm when derivatives with respect to are not included. That is,
Our ultimate goal is to prove the following theorem concerning the global existence of classical solution to the initial boundary problem (1.15)–(1.17) when the initial data is a small perturbation of a constant state which, for simplicity, is taken as (1,0,1). (The corresponding equilibrium state for is . We can see from (1) that and are some positive constants.)
Theorem 1.1.
If there exists a small enough constant such that the initial data satisfies
(1.19) |
with the corresponding compatibility conditions
(1.20) |
Then the initial boundary problem (1.15)–(1.17) admits a unique global-in-time solution satisfying
Moreover, there exist constants (independent of ) such that for any ,
Here and the constant is defined in (1.18).
Remark 1.1.
Some remarks are listed below:
-
•
In our main result, we ask the initial data is a small perturbation near the equilibrium state where . For the corresponding global solvability results with large initial data, it is shown in [13] for its one-dimensional Cauchy problem that its solution will develop singularity for a class of state equations and a class of large initial data even the thermal conductivity is taken into account, while the result obtained in [29] shows that, for the initial-boundary value problem of the radiative Euler equations in a one-dimensional periodic box, if both viscosity and thermal conductivity are introduced, such an initial-boundary value problem does exists a unique global smooth solution for any large initial data.
-
•
Although global smooth solutions are construceted in this paper, its large time behavior is not clear. Moreover, it would be interesting to consider the exterior problem, i.e., the case with . Such problems are under our current research.
We can see it from the a priori estimates in Section 2 that the main difficulty to obtain the global solvability results from the high-dimensional space variable , because the spatial derivative of (referring to ) is not small even with small initial data. Furthermore, we can see comes from the Lagrangian coordinate transformation, which gives us a beautiful structure of system (1.15). However, as a function of and , its definition closely related to the nonlinear structure of mass-conservation equation (1.13). This dependency will cause troubles when we try to obtain the local solution of linearized system. (One can refer to the comments under (3.6), (3.8) and (3.36).)
As usual, the main proof of Theorem 1.1 can be divided into two parts, the a priori estimates and the local existence result, which are established respectively in Section 2 and 3. If these two results stand, then with the method of continuity (see for an example that [24, p. 5972-5973]), Theorem 1.1 holds.
2 A Priori Estimates
To simplify the a priori estimates, we reformulate our system around the equilibrium state by taking change of variables as that and the system (1.15) is reformulated as
(2.1) |
as well as the linearized form that
(2.2) |
where
The corresponding initial and boundary conditions are given by that
(2.3) | |||||
(2.4) |
For later use, we list some Sobolev inequalities refined with respect to norm as follows
Lemma 2.1 (refined version of Appendix B in [21]).
Let . Then
-
, with ; , with ; (From now on, that means for some trivial constant .)
-
, with , provided ;
-
is a function with respect to , then
Here are two-dimensional multi-index For an instance, Let , then .; ; is a positive nondecreasing constant with respect to and .
We define the solution spaces with parameters and that
The a priori estimates in a certain solution space are derived in this subsection as follows.
Proposition 2.2 (A priori estimate).
The proof of Proposition 2.2 is divided into the following three lemmas.
Lemma 2.3.
Under the assumption of Proposition 2.2, for any , it holds that
(2.6) |
Proof.
By computing and integrating the resultant equality over , we have that
With inequality, (2.6) stands. ∎
Lemma 2.4.
Under the assumption of Proposition 2.2, for any , it holds that
Proof.
By computing
(2.7) |
and integrating the resultant equality over , we have that
(2.8) |
Here that is because on . To make up for the dissipation of , we compute and integrate the resultant equality over to obtain
(2.9) |
As for the dissipation of , we multiply by and integrate the resultant equality over to get
(2.10) |
Finally take and we have
where are positive constants satisfying . Integrate the last inequality over , we have that
(2.11) |
Here the estimate of is obtained by inequality, since on . Let and integrate the resultant equality over to obtain
(2.12) |
Then we take and integrate the resultant equality over to get
(2.13) |
With (2.12), (2.13) and (2.11), we have that
(2.14) |
From the first three equations in (2.2), we can see that are bounded by the left side of (2.14), which gives
(2.15) |
By taking and integrating the resultant equality over , we have that
(2.16) |
By combining (2.16) and (2.15), we complete the proof of Lemma 2.4. ∎
Remark 2.1.
In (2.8), we have utilized , which is why we require .
Remark 2.2.
From (2.12), it can be easily derived that
And we can see if (), that is equivalent to that . And the similar conclusion also stands for . These will be applied directly for the rest of this paper.
In the following Lemma, we use the induction method to prove the a priori estimates when
Lemma 2.5.
Under the assumption of Proposition 2.2, for any , it holds that
(2.17) |
Proof.
We assume (2.17) holds for any integer . Since (2.17) has been proved for , we aim to prove (2.17) for and what’s left is to obtain the estimates for order derivatives of .
First, we derive the estimates of and . Similar to what we did in Lemma 2.4, compute that
(2.18) |
and integrate the resultant equality over to get that
(2.19) |
Here denotes the commutator of operators. As for the last inequality, we use the following two examples to illustrate how the estimates are done.
(2.20) |
Here,
When ,
when , and would appear. To cope with that, we apply on the first and third equation in (2.1) which enable us to substitute and with terms containing and . So we have
When ,
Similarly the term can be estimated when . As for , we have
In the last inequality, we have utilized a more detailed version of Lemma 2.1 to obtain the estimate that
To make up for the dissipation of , we compute and integrate the resultant equality over to get that
(2.21) |
Apply on the third equation in (2.1) and we have
(2.22) |
Substitute (2.22) into the first term on the right side of (2.21) to get
(2.23) |
Similarly we add the dissipation of by having and integrating it over , which gives
(2.24) |
By taking () and integrating the resultant inequality over , we have that
(2.25) |
With (2.25), if we apply on the first two equation in (2.1), iteratively we can have the estimates that
(2.26) |
Instead of , if we apply and we can get the estimate for .
Second, we derive the estimates of . Since we already have the estimates of , which together with the structure of third equation in (2.1) enable us to estimate all the order derivatives of except of . To overcome that, we compute and integrate the resultant equality over to get
Then we compute , which can be used to represent in the last equality. After substitute for , we have
(2.27) |
Integrate the inequality above over and we have
(2.28) |
Now we use the following two estimates to illustrate why (2.27) stands.
Third, Let’s go for the estimates of . According to the induction hypothesis,
We aim to prove above estimates for . The remaining terms in are and . Apply on the fourth equation in (2.1) and we have
The estimates that are left to derive are those of and . We apply on the fourth equation in (2.1), multiply the resultant equality by and integrate it over , which gives that
Now we have completed our proof of Lemma 2.5. ∎
Remark 2.3.
Remark 2.4.
The reason why we use the complicated multipliers in (2.7) and (2.18) such as rather than simply is to overcome the difficulty that is not small. Otherwise the terms like and would be hard to cope with. So to avoid the emergence of , we treat as a whole and this strategy will be utilized multiple times in the following content (refer to (3.8) and (3.37)).
3 local existence
In this section, we shall establish the local existence of the solution to initial boundary problem (2.1),(2.3),(2.4) by iteration method. The main results are presented as follows.
Theorem 3.1.
In the beginning, we provide a helpful lemma for later use.
Lemma 3.1 (Theorem 2.5.7 in [7, p. 55]).
For arbitrary , , there exists a function with , .
In order to construct the successive approximation sequence in the iteration process, we need to first consider the linearized system.
3.1 Solution to the linearized system
The desired linearized system takes the form as
(3.2) |
with corresponding initial boundary conditions that
(3.3) | |||||
(3.4) |
Here are given and
(3.5) |
It is clear that are also known, since they can be expressed by (refer to (1)). We define as that in (1.9).
(3.6) |
Especially, we need to point it out that other than (1.14), the derivatives of take the form that
The reason is that (1.14) comes from the nonlinear mass-conservation equation (1.13) and definition (1.9), but the former one is not valid in linearized system. With (3.5), we can see that has positive upper and lower bounds when , , are small and fixed. Moreover has a upper bound concerning , , and .
(3.7) |
(Here, denotes the measure of domain . Since our region is fixed, it won’t appear afterwards in our proof as a variable.) To prove (3.7), since , we just need to consider the case when only spatial derivatives are involved and with Minkowski’s integral inequality, it can be easily proved. The detailed proof is omitted here. Now we start to work on the existence of solutions to such linearized system and the main results are presented in the following Theorem.
Theorem 3.2 (solution to the linearized system).
First, consider the last equation in (3.2). It is a standard second-order linear elliptic equation with Dirichlet boundary conditions provided that in (3.5) is sufficiently small. The solution to such problem is quite clear (e.g. see for chapter 6 in [5]) and satisfies that
(3.8) |
The estimates (3.8) can be obtained just like what we did in the a priori estimates with respect to in the nonlinear system. One thing we want to point out here is that due to the definition (3.6), would appear when we compute , which may not be bounded in norm. And that is why we treat as a whole. Now since is solved, can be easily obtained by integrate (3.2) over , which is
With clear expression of , we can get the following estimates that
(3.9) | ||||
(3.10) |
As for and , we take the first two equations in (3.2) as a individual system. Rewrite them in the form that
(3.11) |
Now for , we define the corresponding linear partial differential operator that
Since is given, we can see that is a linear symmetric hyperbolic system with initial boundary conditions
(3.12) | |||||
(3.13) |
The boundary condition (3.13) is maximally nonnegative according to [21, p. 62] (or maximal dissipative refer to Definition 2.1.3 in [18, p. 22]). The local existence of solution to the initial boundary problem (3.11)-(3.13) is proved in the following theorem
Lemma 3.2 (solution to the hyperbolic part).
The initial boundary problem with (3.12) and (3.13) has a unique solution in , provided that
-
(i)
The known functions satisfy (3.5);
-
(ii)
and ;
-
(iii)
The compatibility conditions that on hold.
The solution obeys the estimates that
(3.16) | ||||
(3.17) |
Here, constant satisfies .
Proof.
As for the existence and uniqueness of solution, one can refer to Theorem A1 in Appendix A of [21] and the important reference [19, Theorem 3.1] in it. Now it is left to prove (3.16) and (3.17), which can be derived from the following estimates.
(3.18) | ||||
(3.19) |
First, we will explain how to obtain (3.16), (3.17) by using (3.18) and (3.19). According to (3.19), we can see that when , is bounded by the right side of (3.17) except for the term . Substitute it into (3.19) when and we have also does. Iteratively, it holds for all . Add them up and we have bounded by the right side of (3.17). The remaining terms in naturally satisfy (3.17), if we set . To prove(3.16), we substitute (3.17) into the right side of (3.18), then use
(3.20) | ||||
(3.21) |
and inequality and eventually we have (3.16). To prove (3.20) here, we can see
And (3.20) follows from
Similarly, we can derive (3.21).
Second, we aim to prove (3.18). Apply on (3.11), multiply the resultant equality by and integrate over to get
(3.22) |
We use to illustrate how the estimates are done.
Here,
The remaining terms on the left side of (3.16) are , the estimates for which can be obtained by following the same procedure but omitting the integration by parts in the spatial derivative terms to avoid boundary terms. With these estimates and (3.22), the proof of (3.18) completes.
Third, we are going to derive (3.17). Apply on (3.11) and solve it for , to get
(3.23) |
and (3.17) is proved. We use the following estimate to illustrate why the last inequality in (3.23) stands.
Now the whole proof is accomplished.
∎
3.2 Iteration Scheme
Now with the solvability of linearized system, we are able to prove Theorem 1.1 through the classical iteration process, which can be roughly presented as obtaining a solution-sequence iteratively to the following linear system, for .
(3.24) |
with
(3.25) | |||||
(3.26) |
At outset, it is not obvious the iterates above are well-posed. The following three lemmas are aimed to establish this. First, we can see that the starting point of iteration is not given yet and the iteration systems do not necessarily satisfy the compatible conditions. Usually, the initial data (see [17, p. 36]) or the equilibrium states (see [11, p. 307]) are used for the beginning of iteration. However, in our case when boundary condition are included these two won’t work since we need all iteration systems satisfy the compatible conditions. We can see it in Lemma that if the starting point we choose such that the first system satisfies the compatible conditions, then all systems in iteration sequence naturally do. So the fact we aim to prove in the first lemma is that such starting point does exist, which is analogous to [21, Lemma A3].
Lemma 3.3.
There exist which satisfy the boundary conditions and initial conditions
(3.27) |
Proof.
We just need to find some functions , which satisfy the initial conditions (3.27). To achieve that, we can utilize Lemma 3.1, which requires the values that take should belong to , if we want . It is a natural requirement if we see from Trace Theorem. However, the values in (3.27) only belong to . To overcome this difficulty, we shall make use of our linearized system. Let and in the first three equations of system (3.24).
(3.28) |
with initial and boundary conditions that
(3.29) | |||||
(3.30) |
Let be the solution of above system and the good in this is that instead of finding , which satisfy the initial conditions (3.27), we only need to choose functions such that
(3.31) |
If this can be achieved, the compatible conditions for above linear system is naturally met and with Theorem 3.2 we can conclude that there exist such . In order to have (3.31), let
(3.32) |
for . We can see although , due to the structure (3.32) (depending on the system (3.28)), (). Now with Lemma 3.1, we can prove such do exist and the proof of Lemma 3.3 completes. ∎
In the next two lemmas, we aim to prove the solution sequence generated by the iteration process is convergent in a certain function space. With the classical method (see [17, p. 34–46]), it is converted into proving two simple facts about the sequence, boundedness in the high norm and contraction in the low norm.
Lemma 3.4 (boundedness in the high norm).
There are sufficiently small constants and such that . Furthermore, on and
Proof.
Since , let’s say and according to (3.32), we have . Now we choose a suitable , and such that for any that , our starting point satisfy
(3.33) |
To achieve that, we apply the similar estimates to system (3.28) as what we did in (3.16), (3.17) and (3.10). Then we have
For any fixed , denote
Now we define
Since is small, without loss of generality we assume . Furthermore, we set and . It’s easy to check that
and (3.33) stands.
Next, we prove that there exists a such that for any satisfying if
(3.34) |
then
First, we can see it from the definition of , conditions (3.34) and the structure of system (3.24) that
Second, we choose is small enough such that has a positive lower bound, , , , ,
Then we have from (3.16), (3.17), (3.9), (3.10) and (3.8) that
∎
Lemma 3.5 (contraction in low norm).
A can be found such that if , there exist functions satisfy
(3.35) |
Proof.
If system (3.24) is denoted as , we subtract from and get the equations for that
(3.36) |
Here,
(3.37) | ||||
Here, just like what we did in (3.8), the reason why we treat and as a whole is to avoid emerging from , which would make the order of derivatives not balanced in (3.41). Then we compute and integrate the resultant equality over , which gives
(3.38) |
Integrate (3.38) over () and we have
With inequality, we have for some positive constant that
(3.39) |
Now we compute , integrate the resultant equality over and we have for for some positive constant that
(3.40) |
Substitute (3.40) into (3.39) and we have
(3.41) |
We can see there exist a fixed constant and a small such that if , then . According to Banach fixed-point theorem, there exist such that
(3.42) |
With (3.40) and (3.41), we have for some that
(3.43) |
according to Cauchy’s Criterion. ∎
Since we have proved Lemma 3.4 and 3.5, by utilizing the Sobolev space interpolation inequality
(3.44) |
we have for any that
(3.45) |
From (3.42), (3.43) and (3.45), we conclude that
If we choose , Sobolev inequality implies that
(3.46) |
From the structure of first three equation in (3.24), we can see
and belong to . So the first three equation of (1.15) hold in classical sense. So (1.14) holds. We have from (3.46) that
Together with (3.40), (3.44), it can be derived that
(3.47) |
With (1.14), (3.46) and (3.47), we have , which indicate that the last equation of (1.15) also holds in classical sense.
From the technique in [17, p. 34–46], we can raise the regularity of solution such that
We omit the proof here. One can refer to the proof of Theorem and in [17, p. 34–46]. Now the proof of local existence completes. To obtain the global-in-time classical solution, first we denote and set is small enough such that . (Here is defined in Proposition 2.2 to ensure that the a priori estimates stand.) Second we set . (Here is fixed, since is already set.) And we have the classical solution in . Third, with the a priori estimates, apply the method of continuity like what is stated before Section 2. Finally, we finish the proof of Theorem 1.1.
4 Acknowledgements.
The research is supported by a grant from National Natural Science Foundation of China under contract No.12221001 and a grant from Science and Technology Department of Hubei Province under contract No.2020DFH002.
References
- Castor [2004] J. I. Castor. Radiation hydrodynamics. Cambridge University Press, 2004.
- Chandrasekhar [1960] S. Chandrasekhar. Radiative transfer. Dover Publications, Inc., New York, 1960.
- Christodoulou and Miao [2014] D. Christodoulou and S. Miao. Compressible flow and Euler’s equations, volume 9 of Surveys of Modern Mathematics. International Press, Somerville, MA; Higher Education Press, Beijing, 2014. ISBN 978-1-57146-297-8.
- Deng and Yang [2020] S. Deng and X. Yang. Pointwise structure of a radiation hydrodynamic model in one-dimension. Math. Methods Appl. Sci., 43(6):3432–3456, 2020. ISSN 0170-4214. doi: 10.1002/mma.6130. URL https://doi.org/10.1002/mma.6130.
- Evans [2010] L. C. Evans. Partial differential equations, volume 19 of Graduate Studies in Mathematics. American Mathematical Society, Providence, RI, second edition, 2010. ISBN 978-0-8218-4974-3. doi: 10.1090/gsm/019. URL https://doi.org/10.1090/gsm/019.
- Fan et al. [2019] L. Fan, L. Ruan, and W. Xiang. Asymptotic stability of a composite wave of two viscous shock waves for the one-dimensional radiative Euler equations. Ann. Inst. H. Poincaré C Anal. Non Linéaire, 36(1):1–25, 2019. ISSN 0294-1449. doi: 10.1016/j.anihpc.2018.03.008. URL https://doi.org/10.1016/j.anihpc.2018.03.008.
- Hörmander [1963] L. Hörmander. Linear partial differential operators. Academic Press, Inc., Publishers, New York; Springer-Verlag, Berlin-Göttingen-Heidelberg,, 1963.
- Huang and Li [2016] F.-m. Huang and X. Li. Convergence to the rarefaction wave for a model of radiating gas in one-dimension. Acta Math. Appl. Sin. Engl. Ser., 32(2):239–256, 2016. ISSN 0168-9673,1618-3932. doi: 10.1007/s10255-016-0576-7. URL https://doi.org/10.1007/s10255-016-0576-7.
- Jiang et al. [2015] S. Jiang, F. Li, and F. Xie. Nonrelativistic limit of the compressible Navier-Stokes-Fourier-P1 approximation model arising in radiation hydrodynamics. SIAM J. Math. Anal., 47(5):3726–3746, 2015. ISSN 0036-1410,1095-7154. doi: 10.1137/140987596. URL https://doi.org/10.1137/140987596.
- John [1974] F. John. Formation of singularities in one-dimensional nonlinear wave propagation. Comm. Pure Appl. Math., 27:377–405, 1974. ISSN 0010-3640,1097-0312. doi: 10.1002/cpa.3160270307. URL https://doi.org/10.1002/cpa.3160270307.
- Kawashima et al. [2003] S. Kawashima, Y. Nikkuni, and S. Nishibata. Large-time behavior of solutions to hyperbolic-elliptic coupled systems. Arch. Ration. Mech. Anal., 170(4):297–329, 2003. ISSN 0003-9527,1432-0673. doi: 10.1007/s00205-003-0273-6. URL https://doi.org/10.1007/s00205-003-0273-6.
- Lax [1964] P. D. Lax. Development of singularities of solutions of nonlinear hyperbolic partial differential equations. J. Mathematical Phys., 5:611–613, 1964. ISSN 0022-2488,1089-7658. doi: 10.1063/1.1704154. URL https://doi.org/10.1063/1.1704154.
- Li and Wang [2022] S. Li and J. Wang. Formation of singularities of solutions to a 1D compressible radiation hydrodynamics model. Nonlinear Anal., 222:Paper No. 112969, 16, 2022. ISSN 0362-546X,1873-5215. doi: 10.1016/j.na.2022.112969. URL https://doi.org/10.1016/j.na.2022.112969.
- Lin [2011] C. Lin. Asymptotic stability of rarefaction waves in radiative hydrodynamics. Commun. Math. Sci., 9(1):207–223, 2011. ISSN 1539-6746. URL http://projecteuclid.org/euclid.cms/1294170332.
- Lin et al. [2006] C. Lin, J.-F. Coulombel, and T. Goudon. Shock profiles for non-equilibrium radiating gases. Phys. D, 218(1):83–94, 2006. ISSN 0167-2789,1872-8022. doi: 10.1016/j.physd.2006.04.012. URL https://doi.org/10.1016/j.physd.2006.04.012.
- Lin et al. [2007] C. Lin, J.-F. Coulombel, and T. Goudon. Asymptotic stability of shock profiles in radiative hydrodynamics. C. R. Math. Acad. Sci. Paris, 345(11):625–628, 2007. ISSN 1631-073X,1778-3569. doi: 10.1016/j.crma.2007.10.029. URL https://doi.org/10.1016/j.crma.2007.10.029.
- Majda [1984] A. Majda. Compressible fluid flow and systems of conservation laws in several space variables, volume 53 of Applied Mathematical Sciences. Springer-Verlag, New York, 1984. ISBN 0-387-96037-6. doi: 10.1007/978-1-4612-1116-7. URL https://doi.org/10.1007/978-1-4612-1116-7.
- Métivier [2004] G. Métivier. Small viscosity and boundary layer methods. Modeling and Simulation in Science, Engineering and Technology. Birkhäuser Boston, Inc., Boston, MA, 2004. ISBN 0-8176-3390-1. doi: 10.1007/978-0-8176-8214-9. URL https://doi.org/10.1007/978-0-8176-8214-9. Theory, stability analysis, and applications.
- Rauch and Massey [1974] J. B. Rauch and F. J. Massey, III. Differentiability of solutions to hyperbolic initial-boundary value problems. Trans. Amer. Math. Soc., 189:303–318, 1974. ISSN 0002-9947. doi: 10.2307/1996861. URL https://doi.org/10.2307/1996861.
- Rohde et al. [2013] C. Rohde, W. Wang, and F. Xie. Hyperbolic-hyperbolic relaxation limit for a 1D compressible radiation hydrodynamics model: superposition of rarefaction and contact waves. Commun. Pure Appl. Anal., 12(5):2145–2171, 2013. ISSN 1534-0392. doi: 10.3934/cpaa.2013.12.2145. URL https://doi.org/10.3934/cpaa.2013.12.2145.
- Schochet [1986] S. Schochet. The compressible Euler equations in a bounded domain: existence of solutions and the incompressible limit. Comm. Math. Phys., 104(1):49–75, 1986. ISSN 0010-3616. URL http://projecteuclid.org/euclid.cmp/1104114932.
- Sideris [1985] T. C. Sideris. Formation of singularities in three-dimensional compressible fluids. Comm. Math. Phys., 101(4):475–485, 1985. ISSN 0010-3616,1432-0916. URL http://projecteuclid.org/euclid.cmp/1104114244.
- Vincenti and Kruger [1965] W. G. Vincenti and C. H. Kruger. Introduction to physical gas dynamics. Introduction to physical gas dynamics, 1965.
- Wan and Wang [2017] L. Wan and T. Wang. Symmetric flows for compressible heat-conducting fluids with temperature dependent viscosity coefficients. J. Differential Equations, 262(12):5939–5977, 2017. ISSN 0022-0396. doi: 10.1016/j.jde.2017.02.022. URL https://doi.org/10.1016/j.jde.2017.02.022.
- Wang and Xie [2011a] J. Wang and F. Xie. Singular limit to strong contact discontinuity for a 1D compressible radiation hydrodynamics model. SIAM J. Math. Anal., 43(3):1189–1204, 2011a. ISSN 0036-1410,1095-7154. doi: 10.1137/100792792. URL https://doi.org/10.1137/100792792.
- Wang and Xie [2011b] J. Wang and F. Xie. Asymptotic stability of viscous contact wave for the one-dimensional compressible viscous gas with radiation. Nonlinear Anal., 74(12):4138–4151, 2011b. ISSN 0362-546X,1873-5215. doi: 10.1016/j.na.2011.03.047. URL https://doi.org/10.1016/j.na.2011.03.047.
- Wang and Xie [2011c] J. Wang and F. Xie. Asymptotic stability of viscous contact wave for the 1D radiation hydrodynamics system. J. Differential Equations, 251(4-5):1030–1055, 2011c. ISSN 0022-0396. doi: 10.1016/j.jde.2011.03.011. URL https://doi.org/10.1016/j.jde.2011.03.011.
- Xie [2012] F. Xie. Nonlinear stability of combination of viscous contact wave with rarefaction waves for a 1D radiation hydrodynamics model. Discrete Contin. Dyn. Syst. Ser. B, 17(3):1075–1100, 2012. ISSN 1531-3492. doi: 10.3934/dcdsb.2012.17.1075. URL https://doi.org/10.3934/dcdsb.2012.17.1075.
- Zhang and Zhao [2023] J. Zhang and H. Zhao. Global regularity for a radiation hydrodynamics model with viscosity and thermal conductivity. SIAM J. Math. Anal., 55(6):6229–6261, 2023. ISSN 0036-1410,1095-7154. doi: 10.1137/22M1524126. URL https://doi.org/10.1137/22M1524126.