Abstract
In this paper, we prove the well-posedness of the initial-boundary value problem for a non-local elliptic-hyperbolic system related to the short pulse equation. Our arguments are based on energy estimates and passing to the limit in a vanishing viscosity approximation of the problem.
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1 Introduction
This paper is dedicated to the well-posedness analysis of the following initial boundary value problem
The equations in (1.1) belonging to the large class of systems of the form
are termed continuum spectrum pulse equations [7,8,9, 55, 60, 61, 68, 79]. They describe the dynamics of the electrical field u of linearly polarized continuum spectrum pulses in optical waveguides, including fused-silica telecommunication-type or photonic-crystal fibers, as well as hollow capillaries filled with transparent gases or liquids.
The constants \(a,\,b,\,g,\,q,\,\alpha ,\,\kappa ,\,\beta ,\,\gamma \), in (1.2), take into account the frequency dispersion of the effective linear refractive index and the nonlinear polarization response, the excitation efficiency of the vibrations, the frequency and the decay time (see [8, 9, 79]).
From a mathematical point of view, in [29], the well-posedness of the classical solutions of the Cauchy associated with (1.2) is proven.
Taking \(b=\alpha =\beta =0\), (1.2) reads
which is known as modified Korteweg–de Vries equation (see [23, 45, 59, 75, 81]).
In [6, 7, 10, 63,64,65], it is proven that (1.3) is a non-slowly-varying envelope approximation model that describes the physics of few-cycle-pulse optical solitons. In [34, 59], the Cauchy problem for (1.3) is studied, while, in [23, 75], the convergence of the solution of (1.3) as \(a\rightarrow 0\) to the unique entropy solution of the following scalar conservation law
is proven.
On the other hand, taking \(a=\alpha =\beta =0\) in (1.2), we have the following equation
It was introduced by Kozlov and Sazonov [61] as a model equation describing the nonlinear propagation of optical pulses of a few oscillations duration in dielectric media, and Schäfer and Wayne [76] as a model equation describing the propagation of ultra-short light pulses in silica optical fibers.
In [3, 4, 30, 63,64,65], the authors show that (1.5) is also a non-slowly-varying envelope approximation model that describes the physics of few-cycle-pulse optical solitons. Meanwhile, [5, 24, 72, 74] show that (1.5) is a particular Rabelo equation which describes pseudospherical surfaces.
System (1.5) is also deduced in [82] to describe the short pulse propagation in nonlinear metamaterials characterized by a weak Kerr-type nonlinearity in their dielectric response.
It also is interesting to remind that equation (1.5) was proposed earlier in [69] in the context of plasma physic and that similar equations describe the dynamics of radiating gases [62, 77]. Moreover, [31, 52,53,54] show that (1.5) is also a model for ultrafast pulse propagation in a mode-locked laser cavity in the few-femtosecond pulse regime. Finally, an interpretation of (1.5) in the context of Maxwell equations is given in [71].
From a mathematical point of view, wellposedness results for the Cauchy problem of (1.5) are proven in the context of energy spaces (see [50, 70, 80]). Similar results are proven in [20, 27, 41, 51] in the context of entropy solutions, while, in [19, 33, 43, 73], the wellposedness of the homogeneous initial boundary value problem is studied. Finally, the convergence of a finite difference scheme is studied in [42].
Observe that, taking \(\alpha =\beta =0\) and \(a\not =0\), (1.2) reads
It was derived by Costanzino, Manukian and Jones [48] in the context of the nonlinear Maxwell equations with high-frequency dispersion. Kozlov and Sazonov [61] show that (1.6) is an more general equation than (1.5) to describe the nonlinear propagation of optical pulses of a few oscillations duration in dielectric media.
Mathematical properties of (1.6) are studied in many different contexts, including the local and global well-posedness in energy spaces [48, 70] and stability of solitary waves [48, 67], while, in [34], the well-posedness of the classical solutions is proven.
In analogy with the convergence result of (1.3) to (1.4), in [27, 28], the convergence of the solution of (1.6) as \(a\rightarrow 0\) to the unique entropy solution of (1.5) was proved.
Taking \(g=a=0\) in (1.2), we have the following system:
which represents a non-local formulation of (1.5) (see also [37]).
Conservation laws with non-local flux can be found in the context of traffic flow modeling [1, 12, 14, 15, 39, 44, 46, 47, 49, 56,57,58], in the context of sedimentation dynamic modeling [11] and in the context of slow erosion modeling [2, 16, 78].
In [32, 37], the well-posedness of the classical solution of the Cauchy associated with (1.7) is proven. Here we continue the analysis started in [37], studying the initial boundary value problem associated to (1.7).
Since our argument does not depend on the sign of the coefficient q here we assume
and for the sake of notational simplicity from now on we write \({-q^2}\) instead of q
where \(\partial _x u(t,0)\) is the trace of \(\partial _x u(t,x)\) at \(x=0\).
We can rewrite the problem as a boundary value problem for a single integro-differential equation.
where \(v(t,x)=\mathcal {V}_t[u(t,\cdot )](x)\) is the solution of the problem
On the function g, we assume
while on the function h, we assume
for some constant \(\kappa _1>0\). On the initial datum, we assume that
The zero mean requirement in (1.11) and the \(L^2\) one in (1.13) imply that the solution u of (1.8) satisfies the same conditions at every time \(t>0\) (see [17, 22, 35]), i.e.
Those properties will play a key role in the estimates of the next sections.
In addition, on the constants \(\alpha ,\,\beta ,\,\kappa \), we assume
Observe that, in all cases, \(\alpha \ne 0\). Therefore, we may set it equal to 1 and work with only three constants.
We use the following definition fo solutions.
Definition 1.1
A triplet of real valued functions \((u,\,v,\, P)\) defined on \([0,\infty )\times [0,\infty )\) is a distributional solution of (1.8) if
-
\(u\in L^2(0,\infty ;H^2(0,\infty )), \,P\in L^2(0,\infty ;H^1(0,\infty )), \,v\in L^2(0,\infty ;H^1(0,\infty ))\);
-
\(\partial _x u(\cdot ,0)=g,\,P(\cdot ,0)=0, \, v(\cdot ,0)=h\) in the sense of traces;
-
for every test function \(\varphi \in C^\infty (\mathbb {R}\times (0,\infty ))\) with compact support
$$\begin{aligned} \begin{aligned} \int _0^\infty \int _0^\infty \left( u\partial _t\varphi -q^2uv\partial _x \varphi +bP\varphi \right) dtdx+\int _0^\infty u_0(x)\varphi (0,x)dx&=0\\ \int _0^\infty \int _0^\infty \left( P \partial _x \varphi +u\varphi \right) dtdx&=0,\\ \int _0^\infty \int _0^\infty \left( \alpha v\partial _{x}^2\varphi -\beta v\partial _x \varphi +\gamma v\varphi -\kappa u^2\varphi \right) dtdx&=0. \end{aligned} \end{aligned}$$(1.17)
The assumptions (1.14), (1.15) and (1.16) on the constants guarantee the boundedness of the \(L^2\) norm of u in time (see Lemma 2.3 below).
The main results of this paper are the following theorem.
Theorem 1.1
Assume (1.9), (1.10), (1.11), (1.13), (1.12), (1.14) and either (1.15) or (1.16). Given \(T>0\), there exists a unique distributional solution \((u,\,v,\, P)\) of (1.8) in the sense of Definition 1.1 such that
Moreover, if \((u_1,\,v_1,\,P_1)\) and \((u_2,\,v_2,\,P_2)\) are two solutions of (1.8), we have that
for some suitable \(C(T)>0\), and every \(0\le t\le T\).
Finally, we decided to study only the stability with respect to the initial datum in order to shorten the arguments.
In the next theorem we give a necessary condition on the constants that gives some additional regularity on the solutions.
Theorem 1.2
Given \(T>0\) assuming either (1.14) or (1.15), if
there exists an unique distributional solution \((u,\,v,\, P)\) of (1.8) in the sense of Definition 1.1 such that (1.18), (1.20) and (1.21) hold, while
for every \(0\le t\le T\). Moreover, assuming (1.14), one between (1.15) or (1.16), and
there exists an unique distributional solution \((u,\,v,\, P)\) of (1.8) such that (1.18), (1.20), (1.21), (1.24) hold. Finally, if \((u_1,\,v_1,\,P_1)\) and \((u_2,\,v_2,\,P_2)\) are two solutions of (1.8), (1.22) holds.
The paper is organized as follows. In Sect. 2, we prove several a priori estimates on a vanishing viscosity approximation of (1.8). Those play a key role in the proof of our main result, that is given in Sect. 3. In Sects. 4 and 5, we prove Theorem 1.2, under Assumptions (1.23) and (1.25), respectively.
2 Vanishing viscosity approximation
Our existence argument is based on passing to the limit in a vanishing viscosity approximation of (1.8)
where \(0<\varepsilon <1\) and \(u_{\varepsilon ,0}, g_{\varepsilon }\,\ge ,\,h_{\varepsilon }\) are \(C^{\infty }\) approximations of \(u_0,\,g,\, h\) such that
and \(C_0\) is a constant independent on \(\varepsilon \). The existence of a unique smooth solution
can be proved using the same arguments as in [25, 36, 38]. Finally, we want to point put that the requirement \(\varepsilon \left\| \partial _{x}^2u_{\varepsilon , 0} \right\| _{L^2(0,\infty )}\le C_0\) is quite common in the arguments based on vanishing viscosity and it states the fact that the \(H^2\) norm of \(u_{\varepsilon , 0}\) is not uniformly bounded with respect to \(\varepsilon \) but it blows-up as \(\varepsilon \rightarrow 0\).
Let us prove some a priori estimates on \(u_{\varepsilon }\), \(P_\varepsilon \) and \(v_\varepsilon \). We denote with C all the the constants which depend only on the initial data, and with C(T), the constants which depend also on T. Moreover, we always assume that \(\varepsilon \in (0,1)\) is given,l \((u_{\varepsilon },\,v_\varepsilon ,\,P_\varepsilon )\) is a solution of (2.1), and that (2.2) holds.
We begin by proving the following lemma.
Lemma 2.1
For each \(t>0\), we have that
Proof
Arguing as in [32, Lemma 2.2], or [18, Lemma 2.1], we have (2.3).
We prove (2.4). Integrating the second equation of (2.1) on (0, x) and using the boundary conditions, we have that
which gives (2.4). \(\square \)
Lemma 2.2
For each \(t>0\), we have that,
Proof
Multiplying the third equation of (2.1) by \(\partial _x v_\varepsilon \), thanks to (2.1), integrating on \((0,\infty )\), we get
which gives (2.6). \(\square \)
We continue by proving an \(L^2\)-estimate unform in \(\varepsilon \).
Lemma 2.3
Fix \(T>0\) and assume (1.15), or (1.16). Then, there exists a constant \(C(T)>0\), independent on \(\varepsilon \), such that
for every \(0\le t\le T\).
Proof
Let \(0\le t\le T\). Multiplying the first equation of (2.1) by \(2u_{\varepsilon }\), thanks to (2.1), an integration on \((0,\infty )\) gives
Therefore, we have that
Observe that, by the boundary condition on \(P_\varepsilon \) and (2.3),
Using (2.9) and (2.10) in (2.8)
Since \(0<\varepsilon <1\), thanks to (1.10) and the Young’s inequality,
Consequently, (2.11) becomes,
Integrating on (0, t), by (2.2) we get
which gives (2.7). \(\square \)
We continue by proving the Lipschitz continuity of \(v_\varepsilon \)
Lemma 2.4
Given \(T>0\). Assume either (1.15) or (1.16). There exists a constant \(C(T)>0\), independent on \(\varepsilon \), such that
for every \(0\le t\le T\).
Proof
(Proof assuming (1.15)) Let \(0\le t\le T\). We begin by proving that
Multiplying the third equation of (2.1) by \(2\beta \partial _x v_\varepsilon \), we have that
Observe that
Thanks to (1.15) and (2.18), an integration of (2.17) on \((0,\infty )\) gives
Since, using Lemma 2.3,
(2.16) follows from (2.19) and (2.20).
We prove that for every \(t\in [0,T]\)
Multiplying the third equation of (2.1) by \(2\gamma v_\varepsilon \), we get
Observe that, thanks to (2.1),
Therefore, integrating (2.23) on \((0,\infty )\), thanks to (2.24),
Due to (2.2), (2.7) and the Young’s inequality,
where \(D_1\) is an arbitrary positive constant, which will be specified later. It follows from (2.25) that
Due to (2.2) and the Young’s inequality,
Hence,
Since \(D_1>0\), (2.26) implies
that is
Choosing \(D_1=\gamma ^2\), we have that
(2.21) follows from (2.16) and (2.28), while (2.16), (2.21) and (2.27) give (2.22).
We prove (2.12). Multiplying the third equation of (2.1) by \(2\alpha \partial _x v_\varepsilon \), we have
Observe that,
Integrating (2.29) on (0, x), thanks to (2.2), (2.7) and (2.30), we have
Consequently, by (2.16) and (2.22), we have that
Hence,
which gives (2.12).
Finally, (2.13), (2.14) and (2.15) follows from (2.12), (2.13), (2.14) and (2.15), respectively. \(\square \)
Proof
(Proof assuming (1.16)) Let \(0\le t\le T\). We begin by observing that, thanks to (1.16), the third equation of (2.1) reads
Following [18], or [33], in order to work with homogeneous boundary conditions we define
We have that
and
Due to (2.34) and (2.35), (2.33) is equivalent to the following one:
Multiplying (2.37) by \(2\gamma W_1\), we have that
Observe that, thanks to (2.36),
Consequently, integrating (2.38) on \((0,\infty )\), by (1.16) and (2.39), we have that
Observe that
Thanks to (2.2), (2.41), the fact that \(\gamma \not =0\), and the Young’s inequality,
The \(L^2\) estimate stated in (2.7) and (2.40) gives
We prove that
Due to (2.36), (2.42) and the Hölder inequality,
for every \(x\ge 0\). Hence,
which gives (2.43).
Observe that, by (2.42) and (2.43), we have that
We prove (2.15). Thanks to (2.2) and (2.34),
Therefore,
that is (2.15).
We prove (2.14). Thanks to (2.2), (2.34) and the Young’s inequality,
Integrating (2.45) on \((0,\infty )\), by (2.41) and (2.44), we have (2.14).
In a similar way, thanks to (2.2), (2.35), (2.44) and the Young’s inequality, we have (2.13).
Finally, we prove (2.12). We begin by proving that
Multiplying (2.33) by \(-2\alpha \partial _x v_\varepsilon \), we have that
Observe that, thanks to (1.8), we have that
Therefore, integrating (2.47) on \((0,\infty )\), by (1.16), (2.2), (2.7) and (2.48), we get
which gives (2.46).
Now, we prove (2.12). Multiplying (2.33) by \(2\alpha \partial _x v_\varepsilon \), thanks to (2.1), an integration on (0, x) gives
Therefore, by (2.2), (2.7), (2.14) and (2.46),
Therefore, we have (2.32), which gives (2.12). \(\square \)
Lemma 2.5
Assume (1.15), or (1.16). Define
Then for every \(t\ge 0\) we have
where
Proof
Integrating the first equation of (2.1) on (0, x), thanks to (2.1) and (2.49), we have that
for every \(x\ge 0\). Observe that, differentiating (2.4) with respect to t, we have that
therefore (2.50) follows from (2.52) and the fact that \(u_{\varepsilon },\,v_\varepsilon ,\,\partial _x v_\varepsilon \) vanish at infinity.
Finally, we prove (2.51). Since \(0<\varepsilon <1\), by (2.2) and the Young’s inequality,
which gives (2.51). \(\square \)
Lemma 2.6
Fix \(T>0\) and assume (1.15), or (1.16). There exists a constant \(C(T)>0\), independent on \(\varepsilon \), such that
for every \(0\le t\le T\). Moreover, we have that
Proof
Let \(0\le t\le T\) and \(x\ge 0\). We begin by observing that, differentiating (2.5) with respect to t, we have that
It follows from (2.52) and (2.56) that
Observe that, thanks to (2.1) and (2.49),
Therefore, thanks to (2.49), (2.50) and (2.58), multiplying (2.57) by \(2P_\varepsilon \), an integration on \((0,\infty )\) gives
Since \(0<\varepsilon <1\), due to Lemma 2.4, (2.2), (2.51) and the Young’s inequality,
Consequently, by (2.59),
The Gronwall Lemma and (2.7) give
that is (2.54).
Finally, we prove (2.55). Due to (2.1), (2.7), (2.54) and the Hölder inequality, for every \(x\ge 0\)
Hence,
which gives (2.55). \(\square \)
Lemma 2.7
Fix \(T>0\) and assume (1.15), or (1.16). There exists a constant \(C(T)>0\), independent on \(\varepsilon \), such that
for every \(0\le t\le T\).
Proof
Let \(0\le t\le T\). We prove (2.60). We begin by observing that, by (2.7) and the Hölder inequality,
Hence,
which gives (2.60).
Finally, we prove (2.61). By the third equation of (2.1) and Lemma 2.4, we have that
Therefore, since \(\alpha \not =0\) (see (1.14)),
(2.61) follows from (2.60) and (2.62). \(\square \)
Following [18], or [33], in order to work with homogeneous boundary conditions we define
Thanks to (2.63), we have that
Moreover, by (2.1), (2.2) and (2.64),
Thanks to (2.63) and (2.64), the first equation of (2.1) reads
We prove the following lemma.
Lemma 2.8
Fix \(T>0\) and assume (1.15), or (1.16). There exists a constant \(C(T)>0\), independent on \(\varepsilon \), such that
for every \(0\le t\le T\).
Proof
Let \(0\le t\le T\) and \(x\ge 0\). We prove (2.67). We begin by observing that, by (2.2), (2.63) and the Young’s inequality,
Integrating on \((0,\infty )\), by (2.7), we get
which gives (2.67).
We prove (2.68). By (2.2), (2.64) and the Young’s inequality,
(2.41) and an integration on \((0,\infty )\) gives
Therefore, we get
which gives (2.68).
Finally, (2.69) follows from (2.60) and (2.68), while (2.61) and (2.68) give (2.70). \(\square \)
Lemma 2.9
Fix \(T>0\) and assume (1.15), or (1.16). There exists a constant \(C(T)>0\), independent on \(\varepsilon \), such that
for every \(0\le t\le T\).
Proof
Let \(0\le t\le T\). We begin by proving (2.71). Multiplying (2.66) by \(-2\partial _{x}^2W_2\), thanks to (2.1) and (2.65), an integration on \((0,\infty )\) gives
Therefore, we have that
Since \(0<\varepsilon <1\), using Lemma 2.4, (2.2), (2.7), (2.41), (2.67), (2.70) and the Young’s inequality, we estimate separaltely each term in (2.74)
It follows from (2.74) that
The Gronwall Lemma and (2.65) give
that is (2.71).
(2.72), follows from (2.68), (2.69), (2.70) and (2.71).
Finally, we prove (2.73). By (2.2), (2.64) and the Young’s inequality, we have that
Multiplying (2.75) by \(\varepsilon \) and integrating on \((0,\infty )\), thanks to (2.41), we have that
Being \(0<\varepsilon <1\), integrating on (0, t), by (2.71), we get
which gives (2.73). \(\square \)
Lemma 2.10
Fix \(T>0\) and assume (1.15), or (1.16). There exists a constant \(C(T)>0\), independent on \(\varepsilon \), such that
for every \(0\le t\le T\).
Proof
Let \(0\le t\le T\). Multiplying the third equation of (2.1) by \(2\alpha \partial _{x}^2v_\varepsilon \), an integration on \((0,\infty )\) gives
Due to Lemma 2.4, (2.7), (2.72) and the Young’s inequality, we obtain
Consequently, by (2.78),
which gives (2.76).
Finally, we prove (2.77). Differentiating the third equation of (2.1) with respect to x, we have that
Multiplying (2.80) by \(2\alpha \partial _{x}^3v_\varepsilon \), an integration on \((0,\infty )\) gives
Due to Lemma 2.4, (2.72) and the Young’s inequality,
Therefore, by (2.81),
which gives (2.77). \(\square \)
Following [26, Lemma 3.2], or [40, Lemma 2.2], we prove the following \(H^2\) estimate on \(u_{\varepsilon }\).
Lemma 2.11
Fix \(T>0\) and assume (1.15), or (1.16). There exists a constant \(C(T)>0\), independent on \(\varepsilon \), such that
for every \(0\le t\le T\).
Proof
Let \(0\le t\le T\) and \(x\ge 0\). Let A be a positive constant, which will be specified later. Multiplying the first equation of (2.1) by
we have that
Observe that, since the traces of \(\partial _t\partial _x u_{\varepsilon }\) and P at \(x=0\) are \(g_{\varepsilon }'\) and 0 respectively, by (2.1), we have that
Therefore, integrating (2.83) on \((0,\infty )\), thanks to (2.84), we have
Since \(0< \varepsilon <1\), due to Lemma 2.4, (2.2), (2.7), (2.54), (2.72), and the Young’s inequality, we can estimate all the previous terms in (2.85) as follows.
where \(D_2,\,D_3\) are two positive constants, which will be specified later. It follows from (2.85) that
Choosing \(D_2=\frac{1}{4}\) and \(D_3=\frac{1}{3}\), we have that
Observe that, thanks to the Hölder inequality and the Young’s inequality,
Consequently, by (2.86),
Taking \(A=3\), we have that
Integrating on \((0,\infty )\), by (2.2), (2.7) and (2.73), we get
which gives (2.82). \(\square \)
In order to prove the compactness of the family \(u_{\varepsilon }\) we prove the following estimate on the time derivative of \(u_{\varepsilon }\).
Lemma 2.12
Fix \(T>0\) and assume (1.15), or (1.16). There exists a constant \(C(T)>0\), independent on \(\varepsilon \), such that
for every \(0\le t\le T\).
Proof
Let \(0\le t\le T\). Multiplying the first equation in (2.1) by \(2\partial _tu_{\varepsilon }\), an integration on \((0,\infty )\) gives
Due to Lemma 2.4, (2.7), (2.54), (2.72), (2.82) and the Young’s inequality, we can estimate the previous terms as follows
It follows from (2.88) that
which gives (2.87). \(\square \)
Lemma 2.13
Fix \(T>0\) and assume (1.15), or (1.16). There exists a constant \(C(T)>0\), independent on \(\varepsilon \), such that
for every \(0\le t\le T\).
Proof
Thanks to the estimates (2.60) and (2.87), the claim follows differentiating with respect to t the third equation in (2.1) and using the same argument developed for (2.14). \(\square \)
3 Proof of Theorem 1.1
This section is devoted to the proof of Theorem 1.1.
Using the Sobolev Immersion Theorem [13], we begin by proving the following result.
Lemma 3.1
Fix \(T>0\). There exist a subsequence \(\{(u_{\varepsilon _k},\,v_{\varepsilon _k},\,P_{\varepsilon _k}) \}_{k\in \mathbb {N}}\) of \(\{(u_{\varepsilon },\,v_\varepsilon ,\,P_\varepsilon )\}_{\varepsilon >0}\) and a limit triplet \((u,\,v,\,P)\) which satisfies (1.18), (1.19) and (1.20) such that
Moreover, \((u,\,v,\,P)\) is solution of (1.8)satisfying (1.21).
Proof
Let \(0\le t\le T\). We begin by observing that, thanks to Lemmas 2.3, 2.8, and 2.12
Therefore, there exists a subsequence \(\{u_{\varepsilon _k}\}_{k\in \mathbb {N}}\) of \(\{u_{\varepsilon }\}_{\varepsilon >0}\) and an function u such that
Observe that by (2.1), we have that
Therefore, by (3.3), (3.5) and the Hölder inequality, we have that
Moreover, by Lemmas 2.4 and 2.13, we have that
(3.3), (3.6), (3.7) and (3.4) give (3.1).
Observe that, by Lemmas 2.7, 2.8 and 2.9 , we have that
while by Lemmas 2.7, 2.6, 2.8 and 2.9,
Additionally, by Lemmas 2.4 and 2.10,
Therefore, (1.17), (1.18), (1.19) and (1.20) holds and \((u,\,v,\,P)\) is solution of (1.8).
Finally, (1.21) follows from (3.1) and Lemma 2.4. \(\square \)
Following [25, Theorem 1.1], we prove Theorem 1.1.
Proof of Theorem 1.1
Lemma 3.1 gives the existence of a solution of (1.8) such that (1.18), (1.19) and (1.20) hold.
We prove (1.22). Given \(t\ge 0,\,x\ge 0\). Let \((u_1,\,v_1,\,P_1)\) and \((u_2,\,v_2,\,P_2)\) be two solutions of (1.8), which satisfy (1.18), that is
Then, the triplet \((U,\, V,\, U)\) defined by
is solution of the following Cauchy problem:
Observe that, thanks to (1.21) and (3.10),
Moreover, since \(u_1,\,u_2\in L^\infty (0,T;H^1(0,\infty ))\), for very \(0\le t\le T\), we can define
We prove that
We need to distinguish two cases. We begin by assuming (1.15). Multiplying the third equation of (3.11) by \(2\beta \partial _x V\), an integration on \((0,\infty )\) and (3.10) give
Since,
it follows from (1.15) and (3.15) that
Due to (3.13) and the Young’s inequality,
Consequently, by (3.16),
Squaring the equation for V in (3.11), by (3.10), we get
Observe that, by (3.11),
an integration on \((0,\infty )\) gives
Due to (1.15), (3.13) and (3.17),
Therefore, by (3.19),
Defining
we have that
which gives (3.14).
We continue by assuming (1.16). Since \(\beta =0\), by (3.10), the third equation of (3.11) reads
Squaring (3.20), we have that
Since, by (3.11)
it follows from an integration of (3.21) on \((0,\infty )\), (1.16) and (3.13) that
Reminding that \(\alpha \gamma <0\) we define
we have that
which gives (3.14).
We prove that
for every \(0\le t\le T\).
Due to (3.11) and the Hölder inequality,
Consequently, thanks to (3.14),
which gives (3.23).
In a similar way, we have that
Observe that, by (3.10),
Therefore, the first equation of (3.11) is equivalent to the following one:
Multiplying (3.25) by 2U, an integration on \((0,\infty )\) gives
Observe that by (3.12) and the second equation of (3.11),
Moreover, since \(v_1(t,0)=h(t)\),
It follows from (1.10), (3.26), (3.27) and (3.28) that
Fix \(T>0\). By (3.8) and (3.9), there exists a constant \(C(T)>0\) such that
Due to (3.23), (3.24), (3.30) and the Young’s inequality,
It follows from (3.29) that
The Gronwall Lemma and (3.11) give
4 Proof of Theorem 1.2 assuming (1.23)
In this section, we prove Theorem 1.2 assuming (1.23). We consider (2.1), which is an approximation of (1.8), such that (2.2) holds.
Arguing as in Section 2, we have Lemmas 2.1, 2.2, 2.3, 2.4, 2.5, 2.6, 2.7, 2.8, 2.9, 2.10, 2.11 and 2.12.
We prove the following result.
Lemma 4.1
Fix \(T>0\). Assume (1.15) and (1.23). There exists a constant \(C(T)>0\), independent on \(\varepsilon \), such that
for every \(0\le t\le T\). In particular, we have that
Proof
Let \(0\le t\le T\). We begin by proving that
Differentiating the third equation of (2.1) with respect to t, we have that
Multiplying (4.5) by \(2\beta \partial _t\partial _x v_\varepsilon \), an integration on \((0,\infty )\) gives
Observe that
Consequently, by (1.15), (1.23) and (4.6), we have that
Due to (2.72), (2.87) and the Young’s inequality,
Therefore, by (4.7),
which gives (4.4).
We prove (4.1). Squaring (4.5), an integration on \((0,\infty )\) gives
Observe that
Consequently, by (1.16), (1.23) and (4.9),
Due to (2.72), (2.87), (4.4) and the Young’s inequality,
Therefore, by (1.15), (1.23) and (4.10), we get
which gives (4.1).
We prove (4.2). Thanks to (4.1), (4.4) and the Hölder inequality, we obtain for \(t\ge 0,\,x\ge 0\)
Hence,
which gives (4.2).
In a similar way, we can prove (4.3). \(\square \)
Using the Sobolev immersion Theorem, we begin by proving the following result.
Lemma 4.2
Fix \(T>0\). There exist a subsequence \(\{u_{\varepsilon _k},\,v_{\varepsilon _k},\,P_{\varepsilon _k}\}_{k\in \mathbb {N}}\) of \(\{u_{\varepsilon },\,v_\varepsilon ,\,P_\varepsilon \}_{\varepsilon >0}\) and a triplet \((u,\,v,\,P)\) which satisfies (1.18), (1.19) and (1.24) such that
Moreover, \((u,\,v,\,P)\) is solution of (1.8) satisfying (1.21).
Proof
Let \(0\le t\le T\). Arguing as in Lemma 3.1, we have (3.2), (3.6), (3.7) and (3.4). Moreover, thanks to (3.4) and Lemma 2.1, (1.21) holds.
Observe that, thanks to Lemmas 2.4, 2.10 and 4.1, we have that
Therefore, (4.11) is proven.
Observe that, again by Lemmas 2.4, 2.10 and 4.1, we have that
while, by Lemma 4.1,
Arguing as in Lemma 3.1, the proof is conclued. \(\square \)
Proof
(Proof of Theorem 1.2 assuming (1.23)) Lemma 4.2 gives the existence of a solution of (1.8), such that (1.18), (1.20) and (1.24) hold. Arguing as in Theorem 1.1, we have (1.22). \(\square \)
5 Proof of Theorem 1.2 assuming (1.25)
In this section, we prove Theorem 1.2 assuming (1.25). We consider (2.1), which is an approximation of (1.8), such that (2.2) holds, and
where C is a constant independent on \(\varepsilon \).
Arguing as in Section 2, we have Lemmas 2.1, 2.2, 2.3, 2.4, 2.5, 2.6, 2.7, 2.8, 2.9, 2.10, 2.11 and 2.12.
We prove the following result.
Lemma 5.1
Fix \(T>0\) and assume (1.15) or (1.16). There exists a constant \(C(T)>0\), independent on \(\varepsilon \), such that
for every \(0\le t\le T\). Moreover, we have (4.2) and (4.3).
Proof
Let \(0\le t\le T\). Assume (1.15). We begin by proving that
Thanks to (1.8), we have that
Consequently, by (4.7), we have that
Therefore, by (4.8) and (5.1), we get
which gives (5.3).
Now, we prove (5.2). Arguing as in Lemma 4.1, we have (4.9). Moreover, thanks to (5.4),
Therefore, by (1.15) and (4.9), we have that
Due to (2.72), (2.87), (5.3) and the Young’s inequality,
Consequently, by (5.5), we have that
which gives (5.2).
Arguing as in Lemma 4.1, we have (4.2) and (4.3).
Assume (1.16). Differentiating (2.33) with respect to t, we have that
Squaring (5.6), an integration on \((0,\infty )\) gives
Observe that, by (5.4), we have that
Therefore, by (1.16), (5.7), we have that
Due to (2.72), (2.87) and (5.1),
Therefore, by (5.8),
We prove that
for every \(0\le t\le T\). Due to (5.9) and the Hölder inequality,
Therefore,
which gives (5.10).
(5.2) follows from (5.9) and (5.10).
Finally, arguing as in Lemma 4.1, we have (4.2) and (4.3). \(\square \)
6 Conclusions
In this paper we proved the well-posedness of a non local approximation of the short pulse equation. Since in this problem the evolutive equation is a transport equation with smooth coefficients several approaches for the well-posedness could be used (e.g. the fixed point one). We used the vanishing viscosity one because we plan to design finite difference numerical schemes for the problem. Indeed such schemes have an intrinsic diffusion similar to the one produced by vanishing viscosity. Moreover, we plan to study the boundary controllability of this nonlocal approximation of the short pulse equation.
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Open access funding provided by Politecnico di Bari within the CRUI-CARE Agreement. GMC has been partially supported by the Research Project of National Relevance “Multiscale Innovative Materials and Structures” granted by the Italian Ministry of Education, University and Research (MIUR Prin 2017, Project Code 2017J4EAYB and the Italian Ministry of Education, University and Research under the Programme Department of Excellence Legge 232/2016 (Grant No. CUP - D94I18000260001).
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This article is part of the section “Theory of PDEs” edited by Eduardo Teixeira.
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Coclite, G.M., di Ruvo, L. On the initial-boundary value problem for a non-local elliptic-hyperbolic system related to the short pulse equation. Partial Differ. Equ. Appl. 3, 79 (2022). https://doi.org/10.1007/s42985-022-00208-w
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DOI: https://doi.org/10.1007/s42985-022-00208-w