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On weak solutions to a generalized Camassa–Holm equation with solitary wave

Abstract

A generalized Camassa–Holm equation proposed by Novikov is considered. The existence and uniqueness of a positive weak solution for the equation is established by using a classical method.

1 Introduction

Recently, Novikov [22] proposed the following integrable quasi-linear scalar evolution equation of order 2:

$$ \bigl(1-\epsilon ^{2}\partial ^{2}_{x} \bigr)u_{t}=\partial _{x}(2-\epsilon \partial _{x}) (1+\epsilon \partial _{x})u^{2}, $$
(1)

where \(\epsilon \neq 0\) is a real constant.

Letting \(v(t,x)=u(\epsilon t,\epsilon x)\), one can transform Eq. (1) into the following form:

$$ u_{t}-u_{txx}=\partial _{x}(2-\partial _{x}) (1+\partial _{x})u^{2}. $$
(2)

It was shown in [22] that Eq. (2) possesses a hierarchy of local higher symmetries. Equation (2) is regarded as a generalized Camassa–Holm equation [22]. In [17], Li and Yin establish the local existence and uniqueness of strong solutions for Eq. (2) in nonhomogeneous Besov spaces by using the Littlewood–Paley theory. Under some assumptions, a blow-up criterion and a global existence result for the equation are also presented in [17]. The well-posedness of (2) is studied in [11] for the periodic and the nonperiodic cases in the sense of Hadamard. In addition, nonuniform dependence is proved by using the method of approximate solutions and well-posedness estimates. To the best of our knowledge, up to now the weak solutions for Eq. (2) have not been investigated yet.

The equation closest to the relevant problem (2) is the Degasperis–Procesi equation,

$$ \bigl(1-\partial ^{2}_{x}\bigr)u_{t}=-4uu_{x}+3u_{x}u_{xx}+uu_{xxx}. $$
(3)

Degasperis, Holm and Hone [12] proved the formal integrability of Eq. (2) by constructing a Lax pair. They showed that it has a bi-Hamiltonian structure and there is an infinite sequence of conserved quantities. Since the Degasperis–Procesi equation was born, much attention has been attracted by the study its dynamics. Yin proved local well-posedness of Eq. (2) on the line [24] and on the circle [25]. In addition, the precise blow-up scenario and blow-up structure for the equation were derived in [24, 25]. Lenells [16] classified all weak traveling wave solutions. Matsuno [20] obtained multisolutions of Eq. (2). Escher et al. [13] investigated the blow-up phenomena and global weak solutions for Degasperis–Procesi equation. In a different direction, Coclite and Karlsen [35], and Lundmark [19] initiated a study of discontinuous solutions (shock wave) to the Degasperis–Procesi equation (2). It is shown in [2] that a new blow-up quantity along the characteristics is established for the Degasperis–Procesi equation (2). The other equations related to Eq. (2), such as the Camassa–Holm equation, the Novikov equation and the Modified Camassa–Holm equation with cubic nonlinearity, can be found in [1, 610, 14, 15, 18, 22, 23] and the references therein.

Inspired by the ideas from [13, 26], in this paper, we investigate the weak solutions for the following Cauchy problem:

$$ \textstyle\begin{cases} u_{t}-u_{txx}=\partial _{x}(2-\partial _{x})(1+\partial _{x})u^{2}, \\ u(0,x)=u_{0}(x). \end{cases} $$
(4)

More precisely, we focus on the existence and uniqueness of positive weak solutions to the problem (4) using the method from [11] under the condition \(y_{0}=u_{0}-u_{0xx}\in \mathcal{M}^{+}\). One of the difficult issues in our proof is how to prove that there is a subsequence of \(\{u^{n}\}\) which converges pointwise a.e. to a function \(u\in H^{1}_{\mathrm{loc}}(\mathbb{R}_{+}\times \mathbb{R})\) that satisfies (4) in the sense of distributions, and how to show that \(u\in C_{w}(\mathbb{R}_{+};H^{1}(\mathbb{R}))\), the space of continuous functions from \(\mathbb{R}_{+}\) with values in \(H^{1}( \mathbb{R})\) when the latter space is equipped with its weak topology. Luckily, using \(y_{0}=u_{0}-u_{0xx}>0\) and the estimate \(\Vert u(t, \cdot ) \Vert _{L^{\infty }(\mathbb{R})}\leq \frac{3}{2} \Vert u _{0} \Vert ^{2}_{L^{3}(\mathbb{R})}t+ \Vert u_{0} \Vert _{L^{\infty }}\), we successfully overcome the problems.

Notations

The space of all infinitely differentiable functions \(\phi (t,x)\) with compact support in \([0,+\infty )\times \mathbb{R}\) is denoted by \(C^{\infty }_{0}\). Let \(1\leq p<+\infty \) and \(L^{p}=L^{p}( \mathbb{R})\) be the space of all measurable functions \(h(t,x)\) such that \(\Vert h \Vert ^{P}_{L^{P}}=\int _{\mathbb{R}} \vert h(t,x) \vert ^{p} \,dx< \infty \). We define \(L^{\infty }=L^{\infty }(\mathbb{R})\) with the standard norm \(\Vert h \Vert _{L^{\infty }}=\inf_{m(e)=0} \sup_{x\in \mathbb{R}\setminus e} \vert h(t,x) \vert \). For any real number s, let \(H^{s}=H^{s}(\mathbb{R})\) denote the Sobolev space with the norm defined by \(\Vert h \Vert _{H^{s}}= (\int _{\mathbb{R}}(1+ \vert \xi \vert ^{2})^{s} \vert \hat{h}(t,\xi ) \vert ^{2}\,d\xi )^{\frac{1}{2}}<\infty \), where \(\hat{h}(t,\xi )=\int _{\mathbb{R}}e^{-ix\xi }h(t,x)\,dx\).

We denote by the convolution. Let \(\Vert \cdot \Vert _{X}\) denote the norm of Banach space X and \(\langle \cdot ,\cdot \rangle \) denote the \(H^{1}(\mathbb{R})\), \(H^{-1}(\mathbb{R})\) duality bracket. Let \(\mathcal{M}(\mathbb{R})\) be the space of Radon measures on \(\mathbb{R}\) with bounded total variation and \(\mathcal{M}^{+}( \mathbb{R})\) be the subset of positive measures. Finally, we write \(\operatorname{BV}(\mathbb{R})\) for the space of functions with bounded variation, \(V(f)\) being the total variation of \(f\in \operatorname{BV}(\mathbb{R})\).

2 Preliminaries

Throughout this paper, let \(\{\rho _{n}\}_{n\geq 1}\) denote the mollifiers

$$\begin{aligned}& \rho _{n}(x):=\biggl( \int _{\mathbb{R}}\rho (\xi )\,d\xi \biggr)^{-1}n\rho (nx), \quad x \in \mathbb{R}, n\geq 1, \end{aligned}$$

where \(\rho \in C^{\infty }_{c}(\mathbb{R})\) is defined by

$$\begin{aligned}& \rho (x):= \textstyle\begin{cases} e^{\frac{1}{x^{2}-1}} & \text{for } \vert x \vert < 1, \\ 0 &\text{for } \vert x \vert \geq 1. \end{cases}\displaystyle \end{aligned}$$

Thus, we get

$$\begin{aligned}& \int _{\mathbb{R}}\rho _{n}(x)\,dx=1, \quad \rho _{n}\geq 0, x\in \mathbb{R}, n\geq 1. \end{aligned}$$

Note that if \(G(x):=\frac{1}{2}e^{- \vert x \vert }\), \(x\in \mathbb{R}\). Then \((1-\partial ^{2}_{x})^{-1}f=G\ast f\) for all \(f\in L^{2}(\mathbb{R})\) and \(G\ast (u- u_{xx})=u\). Using this identity, we rewrite problem (4) in the form

$$ \textstyle\begin{cases} u_{t}-u_{txx}-4uu_{x}+6u_{x}u_{xx}+2uu_{xxx}=2u^{2}_{x}+2uu_{xxx}, & t>0, x\in \mathbb{R}, \\ u(0,x)=u_{0}(x), & x\in \mathbb{R}, \end{cases} $$
(5)

which is equivalent to

$$ \textstyle\begin{cases} u_{t}-2uu_{x}-\partial _{x}G\ast [u^{2}+(u^{2})_{x}]=0, & t>0, x \in \mathbb{R}, \\ u(0,x)=u_{0}(x), & x\in \mathbb{R}. \end{cases} $$
(6)

Next, we give some useful results.

Lemma 2.1

Let\(f:\mathbb{R}\rightarrow \mathbb{R}\)be uniformly continuous and bounded. If\(\mu \in \mathcal{M}(\mathbb{R})\), then

$$\begin{aligned}& [\rho _{n}\ast (f\mu )-(\rho _{n}\ast f)(\rho _{n}\ast \mu )] \mathop{\longrightarrow}_{n \rightarrow \infty }0 \quad \textit{in } L^{1}( \mathbb{R}). \end{aligned}$$

Lemma 2.2

Let\(f: \mathbb{R}\rightarrow \mathbb{R}\)be uniformly continuous and bounded. If\(g\in L^{\infty }(\mathbb{R})\), then

$$\begin{aligned}& [\rho _{n}\ast (f g)-(\rho _{n}\ast f)(\rho _{n}\ast g)] \mathop{\longrightarrow}_{n \rightarrow \infty } 0 \quad \textit{in } L^{\infty }( \mathbb{R}). \end{aligned}$$

Lemma 2.3

Let\(T>0\). If\(f,g\in L^{2}((0,T);H^{1}( \mathbb{R}))\)and\(\frac{df}{dt}, \frac{dg}{dt}\in L^{2}((0,T);H^{-1}( \mathbb{R})) \), thenf, gare a.e. equal to a function continuous from\([0,T]\)into\(L^{2}(\mathbb{R})\)and

$$\begin{aligned}& \bigl\langle f(t), g(t)\bigr\rangle -\bigl\langle f(s),g(s)\bigr\rangle = \int ^{t}_{s} \biggl\langle \frac{d(f(\tau ))}{d\tau },g( \tau )\biggr\rangle \,d\tau + \int ^{t} _{s}\biggl\langle \frac{d(g(\tau ))}{d\tau },f( \tau )\biggr\rangle \,d\tau \end{aligned}$$

for all\(s,t\in [0,T]\).

Lemma 2.4

Assume that\(u(t,\cdot )\in W^{1,1}(\mathbb{R})\)is uniformly bounded in\(W^{1,1}(\mathbb{R})\)for all\(t\in \mathbb{R} _{+}\). Then for a.e. \(t\in \mathbb{R}_{+}\)

$$\begin{aligned}& \frac{d}{dt} \int _{\mathbb{R}} \vert \rho _{n}\ast u \vert \,dx= \int _{\mathbb{R}}(\rho _{n}\ast u_{t}) \operatorname{sgn}(\rho _{n}\ast u)\,dx \end{aligned}$$

and

$$\begin{aligned}& \frac{d}{dt} \int _{\mathbb{R}} \vert \rho _{n}\ast u_{x} \vert \,dx= \int _{\mathbb{R}}(\rho _{n}\ast u_{xt}) \operatorname{sgn}(\rho _{n}\ast u_{x})\,dx. \end{aligned}$$

Lemmas 2.12.4 can be found in [11].

3 Global weak solution

Lemma 3.1

Let\(u_{0}\in L^{3}(\mathbb{R})\cap H^{s}( \mathbb{R})\), \(s>\frac{3}{2}\)and\(y_{0}=(1-\partial ^{2}_{x})u_{0} \geq 0\)for all\(x\in \mathbb{R}\). Then the solutions of problem (6) exist globally in time. Moreover, if\(y(t,\cdot )=u-u_{xx}\), then, for all\(t\in \mathbb{R}_{+}\),

  1. (i)

    \(y(t,\cdot )\geq 0\), \(u(t,\cdot )\geq 0\), \(\vert u_{x}(t,\cdot ) \vert \leq u(t,\cdot )\)and\(\Vert u(t,\cdot ) \Vert _{L^{\infty }(\mathbb{R})}\leq \frac{3}{2} \Vert u_{0} \Vert ^{2}_{L^{3}(\mathbb{R})}t+ \Vert u_{0} \Vert _{L^{ \infty }}\)on \(\mathbb{R}\).

  2. (ii)

    \(\Vert u \Vert _{H^{1}}\leq \Vert u_{0} \Vert _{H^{1}} \exp [\frac{3}{2} \Vert u_{0} \Vert ^{2}_{L ^{3}(\mathbb{R})}t^{2}+2 \Vert u_{0} \Vert _{L^{\infty }}t]\).

Proof

The proof of (i) may be found in [17]. Now, we prove (ii).

Multiplying the first equation of problem (6) by u and integrating by parts, we find

$$\begin{aligned} \frac{1}{2}\frac{d}{dt} \int _{\mathbb{R}}\bigl(u^{2}+u^{2}_{x} \bigr)\,dx =& \int _{\mathbb{R}}u^{3}_{x}\,dx- \int _{\mathbb{R}}2uu^{2}_{x}\,dx, \\ \leq& 2 \Vert u_{x} \Vert _{L^{\infty }} \int _{\mathbb{R}}\bigl(u ^{2}+u^{2}_{x} \bigr)\,dx, \end{aligned}$$
(7)

which yields

$$\begin{aligned} \Vert u \Vert ^{2}_{H^{1}} \leq & \Vert u_{0} \Vert ^{2} _{H^{1}}e^{4\int _{0}^{t} \Vert u_{x} \Vert _{L^{\infty }} \,d \tau } \\ \leq & \Vert u_{0} \Vert ^{2}_{H^{1}}\exp \bigl[3 \Vert u_{0} \Vert ^{2}_{L^{3}}t^{2}+4 \Vert u_{0} \Vert _{L^{\infty }}t\bigr], \end{aligned}$$
(8)

where the Gronwall inequality and (i) were used. This proves (ii) and completes the proof of the lemma. □

Theorem 3.1

Let\(u_{0}\in H^{1}(\mathbb{R})\cap L^{3}( \mathbb{R})\), and\(y_{0}=(u_{0}-u_{0xx})\in \mathcal{M}^{+}( \mathbb{R})\). Then problem (6) has a unique solution\(u\in W^{1,\infty }(\mathbb{R}_{+}\times \mathbb{R})\cap L^{\infty }_{\mathrm{loc}}(\mathbb{R}_{+};H^{1}(\mathbb{R}))\)with initial value\(u_{0}\)and such that\((u-u_{xx})\in \mathcal{M}^{+}\), a.e. \(t\in \mathbb{R}_{+}\)is uniformly bounded on\(\mathbb{R}\).

Proof

We split the proof of Theorem 3.1 in two parts.

Let \(u_{0}\in H^{1}(\mathbb{R})\) and \(y_{0}=u_{0}-u_{0,xx}\in \mathcal{M}^{+}(\mathbb{R})\). Note that \(u_{0}=G\ast y_{0}\). Thus, for \(\varphi \in L^{\infty }(\mathbb{R})\), we have

$$\begin{aligned} \Vert u_{0} \Vert _{L^{1}(\mathbb{R})} = & \Vert G\ast y_{0} \Vert _{L^{1}(\mathbb{R})}= \sup_{ \Vert \varphi \Vert _{L^{\infty }(\mathbb{R})}\leq 1} \int _{\mathbb{R}}\varphi (x) (G\ast y_{0}) (x)\,dx \\ =&\sup_{ \Vert \varphi \Vert _{L^{\infty }(\mathbb{R})}\leq 1} \int _{\mathbb{R}}\varphi (x) \int _{\mathbb{R}}G(x-\xi ) y_{0}( \xi )\,d\xi \,dx \\ =&\sup_{ \Vert \varphi \Vert _{L^{\infty }(\mathbb{R})}\leq 1} \int _{\mathbb{R}}(G\ast \varphi ) (\xi )y_{0}(\xi )\,d\xi \\ =&\sup_{ \Vert \varphi \Vert _{L^{\infty }(\mathbb{R})}\leq 1} \Vert G\ast \varphi \Vert _{L^{\infty }(\mathbb{R})} \Vert y_{0} \Vert _{\mathcal{M}(\mathbb{R})} \\ \leq &\sup_{ \Vert \varphi \Vert _{L^{\infty }(\mathbb{R})} \leq 1} \Vert G \Vert _{L^{1}(\mathbb{R})} \Vert \varphi \Vert _{L^{\infty }(\mathbb{R})} \Vert y_{0} \Vert _{\mathcal{M}(\mathbb{R})}= \Vert y_{0} \Vert _{\mathcal{M}(\mathbb{R})}. \end{aligned}$$
(9)

Let us define \(u^{n}_{0}:=\rho _{n}\ast u_{0}\in H^{\infty }( \mathbb{R})\) for \(n\geq 1\). Obviously, we get

$$\begin{aligned}& u^{n}_{0}\rightarrow u_{0} \quad \text{in } H^{1}(\mathbb{R}) \text{ for } n\rightarrow \infty \end{aligned}$$

and

$$\begin{aligned} \begin{gathered} \bigl\Vert u^{n}_{0} \bigr\Vert _{H^{1}(\mathbb{R})}= \Vert \rho _{n} \ast u_{0} \Vert _{H^{1}(\mathbb{R})}= \Vert \rho _{n}\ast u_{0} \Vert _{L^{2}}+ \bigl\Vert \rho _{n}\ast u'_{0} \bigr\Vert _{L^{2}} \leq \Vert u_{0} \Vert _{H^{1}(\mathbb{R})}, \\ \bigl\Vert u^{n}_{0} \bigr\Vert _{L^{\infty }(\mathbb{R})}= \bigl\Vert G \ast y^{n}_{0} \bigr\Vert _{L^{\infty }(\mathbb{R})}\leq \bigl\Vert y^{n} _{0} \bigr\Vert _{L^{1}(\mathbb{R})}\leq \Vert y_{0} \Vert _{\mathcal{M}}, \\ \bigl\Vert u^{n}_{0} \bigr\Vert _{L^{3}(\mathbb{R})}= \Vert \rho _{n} \ast u_{0} \Vert _{L^{3}(\mathbb{R})}\leq \Vert \rho _{n} \Vert _{L^{1}} \Vert u_{0} \Vert _{L^{3}}\leq \Vert u_{0} \Vert _{L^{3}}. \end{gathered} \end{aligned}$$
(10)

Note that, for all \(n\geq 1\),

$$\begin{aligned}& y^{n}_{0}:=u^{n}_{0}-u^{n}_{0,xx}= \rho _{n}\ast (y_{0})\geq 0. \end{aligned}$$

Referring to the proof of (9), we have

$$\begin{aligned}& \bigl\Vert y^{n}_{0} \bigr\Vert _{L^{1}(\mathbb{R})}\leq \Vert y_{0} \Vert _{\mathcal{M}(\mathbb{R})}, \quad n\geq 1. \end{aligned}$$

From Lemma 3.1, we know that there exists a global strong solution,

$$\begin{aligned}& u^{n}=u^{n}\bigl(\cdot ,u^{n}_{0}\bigr) \in C \bigl([0,\infty );H^{s}(\mathbb{R}) \bigr)\cap C^{1} \bigl([0,\infty );H^{s-1}(\mathbb{R}) \bigr), \quad s \geq \frac{3}{2}, \end{aligned}$$

and \(u^{n}(t,x)-u^{n}_{xx}(t,x)\geq 0\) for all \((t,x)\in \mathbb{R} _{+}\times \mathbb{R}\).

Note that for all \((t,x)\in \mathbb{R}_{+}\times \mathbb{R}\)

$$\begin{aligned}& \bigl(u^{n}\bigr)^{2}= \int ^{x}_{-\infty }2u^{n}u^{n}_{x} \,d\xi \leq \int _{ \mathbb{R}}\bigl[\bigl(u^{n}\bigr)^{2}+ \bigl(u^{n}_{x}\bigr)^{2}\bigr]\,d\xi = \bigl\Vert u^{n} \bigr\Vert ^{2}_{H^{1}}. \end{aligned}$$
(11)

From Lemma 3.1 and (10), we obtain

$$\begin{aligned} \bigl\Vert u^{n}_{x} \bigr\Vert ^{2}_{L^{\infty }(\mathbb{R})} \leq& \bigl\Vert u^{n} \bigr\Vert ^{2}_{L^{\infty }(\mathbb{R})}\leq \bigl\Vert u^{n} \bigr\Vert ^{2}_{H^{1}(\mathbb{R})} \\ \leq & \bigl\Vert u^{n}_{0} \bigr\Vert ^{2}_{H^{1}} \exp \bigl[3 \bigl\Vert u^{n} _{0} \bigr\Vert ^{2}_{L^{3}}t^{2}+4 \bigl\Vert u^{n}_{0} \bigr\Vert _{L^{ \infty }}t\bigr] \\ \leq & \Vert u_{0} \Vert ^{2}_{H^{1}}\exp \bigl[3 \Vert u_{0} \Vert ^{2}_{L^{3}}t^{2}+4 \Vert y_{0} \Vert _{\mathcal{M}}t\bigr]. \end{aligned}$$
(12)

From the Hölder inequality, Lemma 3.1 and (10), for all \(t\geq 0\) and \(n\geq 1\), we have

$$\begin{aligned} \bigl\Vert 2u^{n}(t)u^{n}_{x}(t) \bigr\Vert _{L^{2}(\mathbb{R})} \leq &2 \bigl\Vert u^{n}(t) \bigr\Vert _{L^{\infty }(\mathbb{R})} \bigl\Vert u^{n} _{x}(t) \bigr\Vert _{L^{2}(\mathbb{R})}\leq 2 \bigl\Vert u^{n} \bigr\Vert ^{2}_{H^{1}(\mathbb{R})} \\ \leq &2 \bigl\Vert u^{n}_{0} \bigr\Vert ^{2}_{H^{1}} \exp \bigl[3 \bigl\Vert u^{n} _{0} \bigr\Vert ^{2}_{L^{3}}t^{2}+4 \bigl\Vert u^{n}_{0} \bigr\Vert _{L^{ \infty }}t\bigr] \\ \leq &2 \Vert u_{0} \Vert ^{2}_{H^{1}} \exp \bigl[3 \Vert u_{0} \Vert ^{2}_{L^{3}}t^{2}+4 \Vert y_{0} \Vert _{\mathcal{M}}t\bigr]. \end{aligned}$$
(13)

Using the Young inequality, we get

$$\begin{aligned}& \bigl\Vert \partial _{x}G\ast \bigl[\bigl(u^{n} \bigr)^{2}+\bigl(\bigl(u^{n}\bigr)^{2} \bigr)_{x}\bigr] \bigr\Vert _{L^{2}(\mathbb{R})} \\& \quad \leq \bigl\Vert \partial _{x}G\ast \bigl(u^{n} \bigr)^{2} \bigr\Vert _{L^{2}( \mathbb{R})}+ \bigl\Vert \partial _{x}G\ast \bigl(u^{n}\bigr)^{2}_{x} \bigr\Vert _{L^{2}(\mathbb{R})} \\& \quad \leq \Vert \partial _{x}G \Vert _{L^{2}(\mathbb{R})} \bigl\Vert \bigl(u ^{n}\bigr)^{2} \bigr\Vert _{L^{1}(\mathbb{R})} + \Vert \partial _{x}G \Vert _{L^{2}(\mathbb{R})} \bigl\Vert \bigl( \bigl(u^{n}\bigr)^{2}\bigr)_{x} \bigr\Vert _{L^{1}(\mathbb{R})} \\& \quad \leq 2 \Vert \partial _{x}G \Vert _{L^{2}(\mathbb{R})} \bigl\Vert u ^{n} \bigr\Vert ^{2}_{H^{1}(\mathbb{R})} \\& \quad \leq 2 \Vert \partial _{x}G \Vert _{L^{2}(\mathbb{R})} \bigl\Vert u ^{n}_{0} \bigr\Vert ^{2}_{H^{1}} \exp \bigl[3 \bigl\Vert u^{n}_{0} \bigr\Vert ^{2} _{L^{3}}t^{2}+4 \bigl\Vert u^{n}_{0} \bigr\Vert _{L^{\infty }}t\bigr] \\& \quad \leq 2 \Vert \partial _{x}G \Vert _{L^{2}(\mathbb{R})} \Vert u_{0} \Vert ^{2}_{H^{1}} \exp \bigl[3 \Vert u_{0} \Vert ^{2}_{L^{3}}t ^{2}+4 \Vert y_{0} \Vert _{\mathcal{M}}t\bigr], \end{aligned}$$
(14)

where \(\Vert \partial _{x}G \Vert _{L^{2}(\mathbb{R})}\) is bounded.

Applying (13)–(14) and problem (6), we have

$$\begin{aligned}& \biggl\Vert \frac{d}{dt}u^{n} \biggr\Vert _{L^{2}(\mathbb{R})} \\& \quad \leq 2 \bigl(1+ \Vert \partial _{x}G \Vert _{L^{2}(\mathbb{R})} \bigr) \Vert u_{0} \Vert ^{2}_{H^{1}} \exp \bigl[3 \Vert u_{0} \Vert ^{2}_{L^{3}}t^{2}+4 \Vert y_{0} \Vert _{\mathcal{M}}t\bigr]. \end{aligned}$$
(15)

For fixed \(T> 0\), from (12) and (15), we deduce

$$\begin{aligned}& \int ^{T}_{0} \int _{\mathbb{R}}\bigl(\bigl[u^{n}(t,x)\bigr]^{2}+ \bigl[u^{n}_{x}(t,x)\bigr]^{2}+\bigl[u ^{n}_{t}(t,x)\bigr]^{2}\bigr)\,dx\,dt\leq M, \end{aligned}$$
(16)

where M is a positive constant depending only on \(\Vert G_{x} \Vert _{L^{2}(\mathbb{R})}\), \(\Vert u_{0} \Vert _{H^{1}(\mathbb{R})}\), \(\Vert u_{0} \Vert _{L^{3}(\mathbb{R})}\), \(\Vert y_{0} \Vert _{\mathcal{M}(\mathbb{R})}\) and T. It follows that the sequence \(\{ u^{n}\}_{n\geq 1}\) is uniformly bounded in the space \(H^{1}((0, T)\times \mathbb{R})\). Thus, we can extract a subsequence such that

$$\begin{aligned}& u^{n_{k}}\rightharpoonup u, \quad \text{weakly in } H^{1} \bigl((0,T) \times \mathbb{R}\bigr) \text{ for } n_{k}\rightarrow \infty , \end{aligned}$$
(17)

and

$$\begin{aligned}& u^{n_{k}}\rightarrow u, \quad \text{a.e. on } (0,T)\times \mathbb{R} \text{ for } n_{k}\rightarrow \infty , \end{aligned}$$
(18)

for some \(u\in H^{1}((0,T)\times \mathbb{R})\). From Lemma 3.1 and (10), for fixed \(t\in (0,T)\), we see that the sequence \(u^{n_{k}}_{x}(t,\cdot )\in \operatorname{BV}(\mathbb{R})\) satisfies

$$\begin{aligned} V\bigl[u_{x}^{n_{k}}(t,x)\bigr] =& \bigl\Vert u^{n_{k}}_{xx}(t,\cdot ) \bigr\Vert _{L^{1}(\mathbb{R})}\leq \bigl\Vert u^{n_{k}}(t,\cdot ) \bigr\Vert _{L^{1}(\mathbb{R})}+ \bigl\Vert y^{n_{k}}(t,\cdot ) \bigr\Vert _{L^{1}(\mathbb{R})} \\ \leq &2 \bigl\Vert u^{n_{k}}_{0}(t,\cdot ) \bigr\Vert _{L^{1}(\mathbb{R})} \leq 2 \bigl\Vert u_{0}(t,\cdot ) \bigr\Vert _{L^{1}(\mathbb{R})}\leq 2 \bigl\Vert y_{0}(t,\cdot ) \bigr\Vert _{\mathcal{M}(\mathbb{R})} \end{aligned}$$

and

$$\begin{aligned}& \bigl\Vert u^{n_{k}}_{x}(t,\cdot ) \bigr\Vert _{L^{\infty }}\leq \bigl\Vert u^{n_{k}} \bigr\Vert _{L^{\infty }(\mathbb{R})} \leq \bigl\Vert u^{n_{k}} \bigr\Vert _{H^{1}(\mathbb{R})}\leq \Vert u_{0} \Vert _{H^{1}(\mathbb{R})}. \end{aligned}$$

Applying Helly’s theorem [21], we infer that there exists a subsequence, denoted again \(\{u^{n_{k}}_{x}(t,\cdot )\}\), which converges at every point to some function \(\nu (t,\cdot )\) of finite variation with

$$\begin{aligned}& V\bigl(\nu (t,\cdot )\bigr) \leq 2 \Vert y_{0} \Vert _{\mathcal{M}( \mathbb{R})}. \end{aligned}$$

From (18), we get, for almost all \(t\in (0,T)\), \(u^{n_{k}}_{x}(t, \cdot )\rightarrow u_{x}(t,\cdot )\) in \(D'(\mathbb{R})\). It follows that \(\nu (t,\cdot )=u_{x}(t,\cdot )\) for a.e.\(t\in (0,T)\). Therefore, we have

$$\begin{aligned}& u^{n_{k}}_{x}(t,\cdot )\rightarrow u_{x}(t,\cdot ) \quad \text{a.e. on }(0,T)\times \mathbb{R} \text{ for } n_{k} \rightarrow \infty , \end{aligned}$$
(19)

and for a.e.\(t\in (0,T)\),

$$\begin{aligned}& V\bigl[u_{x}(t,\cdot )\bigr]= \bigl\Vert u_{xx}(t,\cdot ) \bigr\Vert _{\mathcal{M}(\mathbb{R})}=2 \Vert u_{0} \Vert _{L^{1}} \leq 2 \Vert y_{0} \Vert _{\mathcal{M}(\mathbb{R})}. \end{aligned}$$
(20)

By Lemma 3.1 and (12), we have

$$\begin{aligned} \bigl\Vert \bigl(u^{n}\bigr)^{2}+\bigl( \bigl(u^{n}\bigr)^{2}\bigr)_{x} \bigr\Vert _{L^{2}(\mathbb{R})} \leq & \bigl\Vert \bigl(u^{n}\bigr)^{2} \bigr\Vert _{L^{2}(\mathbb{R})}+ \bigl\Vert \bigl(\bigl(u ^{n} \bigr)^{2}\bigr)_{x} \bigr\Vert _{L^{2}} \\ \leq & \bigl\Vert u^{n} \bigr\Vert _{L^{\infty }} \bigl\Vert u^{n} \bigr\Vert _{L^{2}(\mathbb{R})}+2 \bigl\Vert u^{n}_{x} \bigr\Vert _{L^{ \infty }} \bigl\Vert u^{n} \bigr\Vert _{L^{2}} \\ \leq & \bigl\Vert u^{n} \bigr\Vert ^{2}_{H^{1}(\mathbb{R})}+2 \bigl\Vert u ^{n} \bigr\Vert ^{2}_{H^{1}(\mathbb{R})} \\ =&3 \bigl\Vert u^{n} \bigr\Vert ^{2}_{H^{1}(\mathbb{R})} \\ \leq &3 \Vert u_{0} \Vert ^{2}_{H^{1}}\exp \bigl[3 \Vert u_{0} \Vert ^{2}_{L^{3}}t^{2}+4 \Vert y_{0} \Vert _{\mathcal{M}}t\bigr]. \end{aligned}$$

Note that, for fixed \(t\in (0,T)\), the sequence \(\{(u^{n})^{2}+((u ^{n})^{2})_{x}\}_{n\geq 1}\) is uniformly bounded in \(L^{2}(\mathbb{R})\). Therefore, it has a subsequence \(\{(u^{n_{k}})^{2}+((u^{n_{k}})^{2})_{x} \}_{n_{k}\geq 1}\) which converges weakly in \(L^{2}(\mathbb{R})\). From (18), we infer that the weak \(L^{2}(\mathbb{R})\)-limit is \(\{(u)^{2}+(u^{2})_{x}\}\). It follows from \(G_{x}\in L^{2}(\mathbb{R})\) that

$$\begin{aligned}& \partial _{x}G\ast \bigl(\bigl(u^{n_{k}}\bigr)^{2}+ \bigl(\bigl(u^{n_{k}}\bigr)^{2}\bigr)_{x} \bigr) \rightarrow \partial _{x}G\ast \bigl(u^{2}+ \bigl(u^{2}\bigr)_{x} \bigr) \quad \text{for } n_{k}\rightarrow \infty . \end{aligned}$$
(21)

From (18), (19) and (21), we see that u solves Eq. (6) in \(D'((0,T)\times \mathbb{R})\).

For fixed \(T> 0\), noticing that \(u^{n_{k}}_{t}\) is uniformly bounded in \(L^{2}(\mathbb{R})\) as \(t\in [0,T)\) and \(\Vert u^{n_{k}}(t) \Vert _{H^{1}(\mathbb{R})}\) is uniformly bounded for all \(t\in [0,T)\) and \(n\geq 1\), we infer that the family \(t\rightarrow u ^{n_{k}}\in H^{1}(\mathbb{R})\) is weakly equicontinuous on [0,T]. An application of the Arzela–Ascoli theorem shows that \(\{u^{n_{k}}\}\) has a subsequence, denoted again \(\{u^{n_{k}}\}\), which converges weakly in \(H^{1}(\mathbb{R})\), uniformly in \(t\in [0,T)\). The limit function is u. T being arbitrary, we see that u is locally and weakly continuous from \([0,\infty )\) into \(H^{1}(\mathbb{R})\), i.e., \(u\in C_{w,\mathrm{loc}}(\mathbb{R}_{+};H^{1}(\mathbb{R}))\).

Since for a.e. \(t\in \mathbb{R}_{+}\), \(u^{n_{k}}(t,\cdot )\rightharpoonup u(t,\cdot )\) weakly in \(H^{1}(\mathbb{R})\), from Lemma 3.1, we get

$$\begin{aligned} \bigl\Vert u(t,\cdot ) \bigr\Vert _{L^{\infty }(\mathbb{R})} \leq & \bigl\Vert u(t, \cdot ) \bigr\Vert _{H^{1}(\mathbb{R})}\leq \liminf_{n_{k}\rightarrow \infty } \bigl\Vert u^{n_{k}}(t,\cdot ) \bigr\Vert _{H^{1}(\mathbb{R})} \\ \leq & \Vert u_{0} \Vert _{H^{1}}\exp \bigl[3 \Vert u_{0} \Vert ^{2}_{L^{3}}t^{2}+4 \Vert y_{0} \Vert _{\mathcal{M}}t\bigr]. \end{aligned}$$
(22)

Inequality (22) shows that

$$\begin{aligned}& u\in L^{\infty }_{\mathrm{loc}}(\mathbb{R}_{+}\times \mathbb{R}) \cap L^{\infty }_{\mathrm{loc}}\bigl(\mathbb{R}_{+}; H^{1}(\mathbb{R})\bigr). \end{aligned}$$

From (10), for \(t\in \mathbb{R}_{+}\), we obtain

$$\begin{aligned}& \bigl\Vert u^{n}_{x}(t,\cdot ) \bigr\Vert _{L^{\infty }}\leq \bigl\Vert u ^{n} \bigr\Vert _{L^{\infty }(\mathbb{R})} \leq \Vert u_{0} \Vert _{H^{1}(\mathbb{R})}. \end{aligned}$$

Combining with (18), we have

$$\begin{aligned}& u_{x}\in L^{\infty }(\mathbb{R}_{+}\times \mathbb{R}). \end{aligned}$$
(23)

Finally, we prove \((u(t,\cdot )-u_{xx}(t,\cdot ))\in \mathcal{M}^{+}\) is uniformly bounded on \(\mathbb{R}\) and \(u(t,x)\in W^{1,\infty }( \mathbb{R}_{+}\times \mathbb{R})\).

We have

$$\begin{aligned}& L^{1}(\mathbb{R})\subset \bigl(L^{\infty }\bigr)^{\ast } \subset \bigl(C_{0}( \mathbb{R})\bigr)^{\ast }=\mathcal{M}( \mathbb{R}). \end{aligned}$$

From (20), we get for a.e. \(t\in \mathbb{R}_{+}\)

$$\begin{aligned} \bigl\Vert u(t,\cdot )-u_{xx}(t,\cdot ) \bigr\Vert _{\mathcal{M}(\mathbb{R})} \leq & \bigl\Vert u(t,\cdot ) \bigr\Vert _{L^{1}(\mathbb{R})} + \bigl\Vert u_{xx}(t,\cdot ) \bigr\Vert _{\mathcal{M}(\mathbb{R})} \\ \leq & \Vert u_{0} \Vert _{L^{1}(\mathbb{R})}+2 \Vert y_{0} \Vert _{\mathcal{M}(\mathbb{R})}\leq 3 \Vert y_{0} \Vert _{\mathcal{M}(\mathbb{R})}. \end{aligned}$$

The above inequality implies that, for a.e. \(t\in \mathbb{R}_{+}\), \((u(t,\cdot )-u_{xx}(t,\cdot ))\in \mathcal{M}(\mathbb{R})\) is uniformly bounded on \(\mathbb{R}\). For fixed \(T\geq 0\), applying (17) and (18), we have

$$\begin{aligned}& [u^{n_{k}}(t,\cdot )-u^{n_{k}}_{xx}(t,\cdot )] \rightarrow \bigl[u(t,\cdot )-u_{xx}(t,\cdot )\bigr]\quad \text{in }D'(\mathbb{R}) \text{ for } n\rightarrow \infty . \end{aligned}$$

Since \((u^{n_{k}}(t,\cdot )-u^{n_{k}}_{xx}(t,\cdot ))\geq 0\) for all \((t,x)\in \mathbb{R}_{+}\times \mathbb{R}\), we obtain, for a.e. \(t\in \mathbb{R}_{+}\), \((u(t,\cdot )-u_{xx}(t,\cdot ))\in \mathcal{M} ^{+}(\mathbb{R})\).

Note that \(u(t,x)=G\ast (u(t,x)-u_{xx}(t,x))\). Then we get

$$\begin{aligned} \bigl\vert u(t,x) \bigr\vert =& \bigl\vert G\ast \bigl(u(t,x)-u_{xx}(t,x) \bigr) \bigr\vert \leq \Vert G \Vert _{L^{\infty }(\mathbb{R})} \bigl\Vert u(t,x)-u_{xx}(t,x) \bigr\Vert _{\mathcal{M}(\mathbb{R})} \\ \leq &3 \Vert y_{0} \Vert _{\mathcal{M}(\mathbb{R})}. \end{aligned}$$

Combining with (23), it implies that \(u(t,x )\in W^{1,\infty }( \mathbb{R}_{+}\times \mathbb{R})\).

This completes the proof of the existence of Theorem 3.1.

Next, we present the uniqueness proof of Theorem 3.1.

Let \(u,v\in W^{1,\infty }(\mathbb{R}_{+}\times \mathbb{R})\cap L^{ \infty }_{\mathrm{loc}}(\mathbb{R}_{+}; H^{1}(\mathbb{R}))\) be two global weak solutions of problem (6) with the same initial data \(u_{0}\). Assume that \((u(t,\cdot )-u_{xx}(t,\cdot ))\in \mathcal{M} ^{+}(\mathbb{R})\) and \((v(t,\cdot )-v_{xx}(t,\cdot ))\in \mathcal{M} ^{+}(\mathbb{R})\) are uniformly bounded on \(\mathbb{R}_{+}\) and set

$$\begin{aligned}& N:=\sup_{t\in \mathbb{R}_{+}}\bigl\{ \bigl\Vert u(t,\cdot )-u_{xx}(t,\cdot ) \bigr\Vert _{\mathcal{M}(\mathbb{R})}+ \bigl\Vert v(t,\cdot )-v_{xx}(t, \cdot ) \bigr\Vert _{\mathcal{M}(\mathbb{R})}\bigr\} . \end{aligned}$$

From the assumption, we know that \(N< \infty \). Then, for all \((t,x)\in \mathbb{R}_{+}\times \mathbb{R}\),

$$\begin{aligned} \bigl\vert u(t,x) \bigr\vert =& \bigl\vert G\ast \bigl(u(t,x)-u_{xx}(t,x) \bigr) \bigr\vert \\ \leq & \Vert G \Vert _{L^{\infty }(\mathbb{R})} \bigl\Vert u(t,x)-u _{xx}(t,x) \bigr\Vert _{{\mathcal{M}}(\mathbb{R})}\leq \frac{N}{2} \end{aligned}$$
(24)

and

$$\begin{aligned} \bigl\vert u_{x}(t,x) \bigr\vert =& \bigl\vert G_{x}\ast \bigl(u(t,x)-u_{xx}(t,x)\bigr) \bigr\vert \\ \leq & \Vert G_{x} \Vert _{L^{\infty }(\mathbb{R})} \bigl\Vert u(t,x)-u _{xx}(t,x) \bigr\Vert _{\mathcal{M}(\mathbb{R})}\leq \frac{N}{2}. \end{aligned}$$
(25)

Similarly

$$\begin{aligned}& \bigl\vert v(t,x) \bigr\vert \leq \frac{N}{2}, \qquad \bigl\vert v_{x}(t,x) \bigr\vert \leq \frac{N}{2},\quad (t,x)\in \mathbb{R}_{+} \times \mathbb{R}. \end{aligned}$$
(26)

Following the same procedure as in (9), we may also get

$$\begin{aligned}& \begin{aligned}[b] \bigl\Vert u(t,x) \bigr\Vert _{L^{1}}&= \bigl\Vert G\ast \bigl(u(t,x)-u_{xx}(t,x)\bigr) \bigr\Vert _{L^{1}(\mathbb{R})} \\ &\leq \Vert G \Vert _{L^{1}(\mathbb{R})} \bigl\Vert u(t,x)-u_{xx}(t,x) \bigr\Vert _{\mathcal{M}(\mathbb{R})}\leq N, \end{aligned} \end{aligned}$$
(27)
$$\begin{aligned}& \begin{aligned}[b] \bigl\Vert u_{x}(t,x) \bigr\Vert _{L^{1}(\mathbb{R})}&= \bigl\Vert G_{x} \ast \bigl(u(t,x)-u_{xx}(t,x) \bigr) \bigr\Vert _{L^{1}(\mathbb{R})} \\ &\leq \Vert G_{x} \Vert _{L^{1}(\mathbb{R})} \bigl\Vert u(t,x)-u _{xx}(t,x) \bigr\Vert _{\mathcal{M}(\mathbb{R})}\leq N , \end{aligned} \end{aligned}$$
(28)

and for all \((t,x)\in \mathbb{R}_{+}\times \mathbb{R}\)

$$\begin{aligned}& \bigl\Vert v(t,x) \bigr\Vert _{L^{1}(\mathbb{R})}\leq N, \qquad \bigl\Vert v_{x}(t,x) \bigr\Vert _{L^{1}(\mathbb{R})}\leq N. \end{aligned}$$
(29)

We define

$$\begin{aligned}& w(t,x):=u(t,x)-v(t,x), \quad (t,x)\in \mathbb{R}_{+}\times \mathbb{R}. \end{aligned}$$

Convoluting Eq. (6) for u and v with \(\rho _{n}\), we get, for a.e. \(t\in \mathbb{R}_{+}\) and all \(n\geq 1\),

$$\begin{aligned}& \rho _{n}\ast u_{t}+\rho _{n}\ast (-2uu_{x})+\rho _{n}\ast \partial _{x}G \ast \bigl[u^{2}+\bigl(u^{2}\bigr)_{x}\bigr]=0 \end{aligned}$$
(30)

and

$$\begin{aligned}& \rho _{n}\ast v_{t}+\rho _{n}\ast (-2vv_{x})+\rho _{n}\ast \partial _{x}G \ast \bigl[v^{2}+\bigl(v^{2}\bigr)_{x}\bigr]=0. \end{aligned}$$
(31)

Subtracting (31) from (30) and using Lemma 2.4, integration by parts shows that for a.e. \(t\in \mathbb{R}_{+}\) and all \(n\geq 1\)

$$\begin{aligned} \frac{d}{dt} \int _{\mathbb{R}} \vert \rho _{n}\ast w \vert \,dx =& \int _{\mathbb{R}}(\rho _{n}\ast w_{t}) \operatorname{sgn}(\rho _{n}\ast w)\,dx \\ =&2 \int _{\mathbb{R}}(\rho _{n}\ast wu_{x}) \operatorname{sgn}(\rho _{n}\ast w)\,dx \\ & {} +2 \int _{\mathbb{R}}(\rho _{n}\ast vw_{x}) \operatorname{sgn}(\rho _{n}\ast w)\,dx \\ & {} + \int _{\mathbb{R}}\bigl(\rho _{n}\ast \partial _{x}G\ast w(u+v)\bigr) \operatorname{sgn}(\rho _{n}\ast w) \,dx \\ & {} -2 \int _{\mathbb{R}}(\rho _{n}\ast \partial _{x}G \ast w_{x}u) \operatorname{sgn}(\rho _{n}\ast w)\,dx \\ & {} -2 \int _{\mathbb{R}}(\rho _{n}\ast \partial _{x}G \ast wv_{x}) \operatorname{sgn}(\rho _{n}\ast w)\,dx. \end{aligned}$$
(32)

Using (24)–(26) and the Young inequality to the first term on the right-hand of (32) yields

$$\begin{aligned}& \biggl\vert \int _{\mathbb{R}}\bigl(\rho _{n}\ast (wu_{x}) \bigr)\operatorname{sgn}(\rho _{n} \ast w)\,dx \biggr\vert \\& \quad \leq \int _{\mathbb{R}} \bigl\vert \bigl(\rho _{n}\ast (wu_{x})\bigr) \bigr\vert \,dx \\& \quad \leq \int _{\mathbb{R}} \vert \rho _{n}\ast w \vert \vert \rho _{n}\ast u _{x} \vert \,dx+ \int _{\mathbb{R}} \bigl\vert \rho _{n}\ast (wu_{x})-(\rho _{n} \ast w) (\rho _{n}\ast u_{x}) \bigr\vert \,dx \\& \quad \leq \Vert \rho _{n}\ast u_{x} \Vert _{L^{\infty }} \int _{\mathbb{R}} \vert \rho _{n}\ast w \vert \,dx \\& \quad \quad{} + \int _{\mathbb{R}} \bigl\vert \rho _{n}\ast (wu_{x})-(\rho _{n}\ast w) (\rho _{n}\ast u_{x}) \bigr\vert \,dx \\& \quad \leq \Vert \rho _{n} \Vert _{L^{1}} \Vert u_{x} \Vert _{L^{\infty }} \int _{\mathbb{R}} \vert \rho _{n}\ast w \vert \,dx \\& \quad \quad{} + \int _{\mathbb{R}} \bigl\vert \rho _{n}\ast (wu_{x})-(\rho _{n}\ast w) (\rho _{n}\ast u_{x}) \bigr\vert \,dx \\& \quad \leq \frac{N}{2} \int _{\mathbb{R}} \vert \rho _{n}\ast w \vert \,dx+ \int _{\mathbb{R}} \bigl\vert \rho _{n}\ast (wu_{x})-(\rho _{n}\ast w) (\rho _{n} \ast u_{x}) \bigr\vert \,dx. \end{aligned}$$
(33)

Similarly, we obtain

$$\begin{aligned}& \biggl\vert \int _{\mathbb{R}}\bigl(\rho _{n}\ast (w_{x}v) \bigr)\operatorname{sgn}(\rho _{n} \ast w)\,dx \biggr\vert \\& \quad \leq \int _{\mathbb{R}} \bigl\vert \bigl(\rho _{n}\ast (w_{x}v)\bigr) \bigr\vert \,dx \\& \quad \leq \int _{\mathbb{R}} \vert \rho _{n}\ast w_{x} \vert \vert \rho _{n} \ast v \vert \,dx+ \int _{\mathbb{R}} \bigl\vert \rho _{n}\ast (w_{x}v)-(\rho _{n} \ast w_{x}) (\rho _{n}\ast v) \bigr\vert \,dx \\& \quad \leq \frac{N}{2} \int _{\mathbb{R}} \vert \rho _{n}\ast w_{x} \vert \,dx+ \int _{\mathbb{R}} \bigl\vert \rho _{n}\ast (w_{x}v)-(\rho _{n}\ast w_{x}) (\rho _{n}\ast v) \bigr\vert \,dx \end{aligned}$$
(34)

and

$$\begin{aligned}& \biggl\vert \int _{\mathbb{R}}\bigl(\rho _{n}\ast \partial _{x}G\ast \bigl[w(u+v)\bigr]\bigr) \operatorname{sgn}(\rho _{n}\ast w)\,dx \biggr\vert \\& \quad \leq \int _{\mathbb{R}} \bigl\vert (\rho _{n}\ast G\ast \bigl[w_{x}(u+v)\bigr] \bigr\vert \,dx \\& \quad \quad {} + \int _{\mathbb{R}} \bigl\vert (\rho _{n}\ast G\ast \bigl[w(u+v)_{x}\bigr] \bigr\vert \,dx \\& \quad \leq \frac{1}{2} \int _{\mathbb{R}} \bigl\vert \rho _{n}\ast \bigl[w_{x}(u+v)\bigr] \bigr\vert \,dx+ \frac{1}{2} \int _{\mathbb{R}} \bigl\vert \rho _{n}\ast \bigl[w(u_{x}+v_{x})\bigr] \bigr\vert \,dx \\& \quad \leq \frac{N}{2} \int _{\mathbb{R}} \vert \rho _{n}\ast w_{x} \vert \,dx+ \frac{N}{2} \int _{\mathbb{R}} \vert \rho _{n}\ast w \vert \,dx \\& \quad \quad {} + \int _{\mathbb{R}} \bigl\vert \rho _{n}\ast \bigl(w_{x}(u+v)\bigr)-(\rho _{n}\ast w_{x})\bigl[ \rho _{n}\ast (u+v)\bigr] \bigr\vert \,dx \\& \quad \quad {} + \int _{\mathbb{R}} \bigl\vert \rho _{n}\ast \bigl[w(u+v)_{x}\bigr]-(\rho _{n}\ast w)\bigl[\rho _{n}\ast (u+v)_{x}\bigr] \bigr\vert \,dx. \end{aligned}$$
(35)

For the last term on the right-hand side of (32), we have

$$\begin{aligned}& \biggl\vert \int _{\mathbb{R}}\bigl(\rho _{n}\ast \partial _{x}G\ast (w_{x}u)\bigr) \operatorname{sgn}(\rho _{n}\ast w)\,dx \biggr\vert \\& \quad \leq \int _{\mathbb{R}} \bigl\vert \rho _{n}\ast \partial _{x}G\ast (w_{x}u) \bigr\vert \,dx \\& \quad \leq \Vert \partial _{x}G \Vert _{L^{1}(\mathbb{R})} \int _{ \mathbb{R}} \bigl\vert \rho _{n}\ast (w_{x}u) \bigr\vert \,dx \\& \quad \leq N \int _{\mathbb{R}} \vert \rho _{n}\ast w_{x} \vert \,dx+ \int _{ \mathbb{R}} ( \bigl\vert \rho _{n}\ast (w_{x}u)-(\rho _{n}\ast w_{x}) (\rho _{n} \ast u) \bigr\vert \,dx \end{aligned}$$
(36)

and

$$\begin{aligned}& \biggl\vert \int _{\mathbb{R}}\bigl(\rho _{n}\ast \partial _{x}G\ast (wv_{x})\bigr) \operatorname{sgn}(\rho _{n}\ast w)\,dx \biggr\vert \\& \quad \leq \int _{\mathbb{R}} \bigl\vert \rho _{n}\ast \partial _{x}G\ast (wv_{x}) \bigr\vert \,dx \\& \quad \leq \Vert \partial _{x}G \Vert _{L^{1}(\mathbb{R})} \int _{ \mathbb{R}} \bigl\vert \rho _{n}\ast (wv_{x}) \bigr\vert \,dx \\& \quad \leq N \int _{\mathbb{R}} \vert \rho _{n}\ast w \vert \,dx+ \int _{\mathbb{R}} \bigl\vert \rho _{n}\ast (wv_{x})-(\rho _{n}\ast w) (\rho _{n}\ast v_{x}) \bigr\vert \,dx. \end{aligned}$$
(37)

From (33)–(37), for a.e. \(t\in \mathbb{R}_{+}\) and all \(n\geq 1\), we find

$$\begin{aligned} \frac{d}{dt} \int _{\mathbb{R}} \vert \rho _{n}\ast w \vert \,dx \leq &2N \int _{\mathbb{R}} \vert \rho _{n}\ast w \vert \,dx \\ & {} +2N \int _{\mathbb{R}} \vert \rho _{n}\ast w_{x} \vert \,dx+R_{n}(t), \end{aligned}$$
(38)

where

$$\begin{aligned}& \textstyle\begin{cases} R_{n}(t)\rightarrow 0 & \text{as } t\rightarrow \infty , \\ \vert R_{n}(t) \vert \leq K,& n\geq 1, t\in \mathbb{R}_{+}, \end{cases}\displaystyle \end{aligned}$$
(39)

where K is a positive constant depending on N and the \(H^{1}( \mathbb{R})\)-norms of \(u(0)\) and \(v(0)\).

In the same way, convoluting Eq. (6) for u and v with \(\rho _{n,x}\) and using Lemma 2.4, we see that for a.e. \(t\in \mathbb{R}_{+}\) and all \(n\geq 1\)

$$\begin{aligned} \frac{d}{dt} \int _{\mathbb{R}} \vert \rho _{n}\ast w_{x} \vert \,dx =& \int _{\mathbb{R}}(\rho _{n}\ast w_{xt}) \operatorname{sgn}(\rho _{n,x}\ast w)\,dx \\ =&2 \int _{\mathbb{R}}\bigl(\rho _{n}\ast w_{x}(u_{x}+v_{x}) \bigr)\operatorname{sgn}( \rho _{n,x}\ast w)\,dx \\ &{} +2 \int _{\mathbb{R}}(\rho _{n}\ast v_{xx}w) \operatorname{sgn}(\rho _{n,x} \ast w)\,dx \\ &{} +2 \int _{\mathbb{R}}(\rho _{n}\ast u w_{xx}) \operatorname{sgn}(\rho _{n,x} \ast w)\,dx \\ &{} - \int _{\mathbb{R}}(\rho _{n}\ast \partial _{xx}G \ast \bigl[\bigl(u^{2}-v^{2}\bigr)+\bigl(u ^{2} \bigr)_{x}-\bigl(v^{2}\bigr)_{x}\bigr] \operatorname{sgn}(\rho _{n,x}\ast w)\,dx. \end{aligned}$$
(40)

Using the identity \(\partial ^{2}_{x}(G\ast g)=G\ast g-g\) for \(g\in L^{2}(\mathbb{R})\) and the Young inequality, we estimate the fourth term of the right-hand side of (40):

$$\begin{aligned}& \begin{gathered} \biggl\vert \int _{\mathbb{R}}(\rho _{n}\ast \partial _{xx}G \ast \bigl[\bigl(u^{2}-v ^{2}\bigr)+\bigl(u^{2} \bigr)_{x}-\bigl(v^{2}\bigr)_{x}\bigr]\,dx \biggr\vert \\ \quad \leq \int _{\mathbb{R}} \bigl\vert (\rho _{n}\ast G\ast \bigl[ \bigl(u^{2}-v^{2}\bigr)+\bigl(u ^{2} \bigr)_{x}-\bigl(v^{2}\bigr)_{x}\bigr] \bigr\vert \,dx \end{gathered} \\& \qquad{} + \int _{\mathbb{R}} \bigl\vert (\rho _{n}\ast \bigl[ \bigl(u^{2}-v^{2}\bigr)+\bigl(u^{2} \bigr)_{x}-\bigl(v ^{2}\bigr)_{x}\bigr] \bigr\vert \,dx \\& \quad \leq \bigl( \Vert G \Vert _{L^{1}(\mathbb{R})}+1\bigr) \int _{\mathbb{R}} \bigl\vert (\rho _{n}\ast \bigl[w(u+v)+2uw_{x}+2wv_{x}\bigr] \bigr\vert \,dx \\ & \quad \leq 2 \int _{\mathbb{R}} \bigl\vert (\rho _{n}\ast \bigl[w(u+v) \bigr] \bigr\vert \,dx+4 \int _{\mathbb{R}} \bigl\vert \bigl(\rho _{n}\ast [uw_{x}+wv_{x}\bigr)] \bigr\vert \,dx \\ & \quad \leq 4 N \int _{\mathbb{R}} \vert \rho _{n}\ast w \vert \,dx +2N \int _{ \mathbb{R}} \vert \rho _{n}\ast w_{x} \vert \,dx+R_{n}. \end{aligned}$$
(41)

Using (24)–(26) and the Young inequality to the first term on the right-hand of (40) gives rise to

$$\begin{aligned}& 2 \int _{\mathbb{R}}\bigl(\rho _{n}\ast w_{x}(u_{x}+v_{x}) \bigr)\operatorname{sgn}( \rho _{n,x}\ast w)\,dx \\ & \quad \leq 2 \int _{\mathbb{R}} \bigl\vert \rho _{n}\ast w_{x}(u _{x}+v_{x}) \bigr\vert \,dx \\ & \quad \leq 2 \int _{\mathbb{R}} \vert \rho _{n}\ast w_{x} \vert \bigl\vert \rho _{n} \ast (u_{x}+v_{x}) \bigr\vert \,dx \\ & \quad\quad {} +2 \int _{\mathbb{R}} \bigl\vert \rho _{n}\ast w_{x}(u_{x} +v_{x})-(\rho _{n} \ast w_{x}) \bigl(\rho _{n}\ast (u_{x}+v_{x}) \bigr) \bigr\vert \,dx \\ & \quad \leq 2 N \int _{\mathbb{R}} \vert \rho _{n}\ast w_{x} \vert \,dx+R_{n}. \end{aligned}$$
(42)

To treat the second term of the right-hand side of (40), we note that

$$\begin{aligned} \biggl\vert 2 \int _{\mathbb{R}}(\rho _{n}\ast v_{xx}w) \operatorname{sgn}(\rho _{n,x} \ast w)\,dx \biggr\vert \leq &2 \int _{\mathbb{R}} \bigl\vert (\rho _{n}\ast w) (\rho _{n} \ast v_{xx}) \bigr\vert \,dx \\ & {} +2 \int _{\mathbb{R}} \bigl\vert (\rho _{n}\ast v_{xx}w)-(\rho _{n}\ast w) (\rho _{n}\ast v_{xx}) \bigr\vert \,dx. \end{aligned}$$
(43)

Applying Lemma 2.1, the second expression of right-hand of (43) can be estimated by a function \(R_{n}(t)\) belonging to (39). Making use of the Hölder inequality and (9), for a.e. \(t\in \mathbb{R}_{+}\) and all \(n\geq 1\), we have

$$\begin{aligned} \int _{\mathbb{R}} \bigl\vert (\rho _{n}\ast w) (\rho _{n}\ast v_{xx}) \bigr\vert \,dx \leq & \Vert \rho _{n}\ast w \Vert _{L^{\infty }(\mathbb{R})} \Vert \rho _{n}\ast v_{xx} \Vert _{L^{1}(\mathbb{R})} \\ \leq & \Vert \rho _{n}\ast w \Vert _{W^{1,1}(\mathbb{R})} \Vert v_{xx} \Vert _{\mathcal{M}(\mathbb{R})}. \end{aligned}$$
(44)

It follows from (43) and (44) that

$$\begin{aligned} \biggl\vert 2 \int _{\mathbb{R}}(\rho _{n}\ast v_{xx}w) \operatorname{sgn}(\rho _{n,x} \ast w)\,dx \biggr\vert \leq& 2 N \int _{\mathbb{R}} \vert \rho _{n}\ast w \vert \,dx \\ & {} +2 N \int _{\mathbb{R}} \vert \rho _{n}\ast w_{x} \vert +R_{n}(t). \end{aligned}$$
(45)

Now, we deal with the third term on the right-hand side of (40)

$$\begin{aligned}& \begin{gathered} 2 \int _{\mathbb{R}}(\rho _{n}\ast uw_{xx}) \operatorname{sgn}(\rho _{n,x} \ast w)\,dx \\ \quad = 2 \int _{\mathbb{R}}(\rho _{n}\ast u) (\rho _{n}\ast w_{xx}) \operatorname{sgn}(\rho _{n,x}\ast w)\,dx \end{gathered} \\& \quad\quad {} +2 \int _{\mathbb{R}}\bigl[(\rho _{n}\ast uw_{xx})-( \rho _{n}\ast u) (\rho _{n} \ast w_{xx})\bigr] \operatorname{sgn}(\rho _{n,x}\ast w)\,dx \\& \quad \leq 2 \int _{\mathbb{R}}(\rho _{n}\ast u)\frac{\partial }{\partial _{x}} \vert \rho _{n}\ast w_{x} \vert \,dx \\& \quad\quad {} +2 \int _{\mathbb{R}} \bigl\vert (\rho _{n}\ast uw_{xx})-(\rho _{n}\ast u) (\rho _{n}\ast w_{xx}) \bigr\vert \,dx \\& \quad = 2 \int _{\mathbb{R}}(\rho _{n}\ast u_{x}) \vert \rho _{n}\ast w_{x} \vert \,dx+R _{n}. \end{aligned}$$
(46)

Therefore, (46) implies that for a.e. \(t\in \mathbb{R}_{+}\) and all \(n\geq 1\)

$$\begin{aligned}& \biggl\vert 2 \int _{\mathbb{R}}(\rho _{n}\ast uw_{xx}) \operatorname{sgn}(\rho _{n,x} \ast w)\,dx \biggr\vert \leq N \int _{\mathbb{R}} \vert \rho _{n}\ast w_{x} \vert \,dx+R _{n}. \end{aligned}$$
(47)

From (41), (42), (45) and (47), for a.e. \(t\in \mathbb{R}_{+}\) and all \(n\geq 1\), we deduce

$$\begin{aligned} \frac{d}{dt} \int _{\mathbb{R}} \vert \rho _{n}\ast w_{x} \vert \,dx \leq& 6N \int _{\mathbb{R}} \vert \rho _{n}\ast w \vert \,dx \\ & {} +7 N \int _{\mathbb{R}} \vert \rho _{n}\ast w_{x} \vert \,dx+R_{n}. \end{aligned}$$
(48)

Combining with (38) and (48), we find

$$\begin{aligned} \frac{d}{dt} \int _{\mathbb{R}}\bigl( \vert \rho _{n}\ast w \vert + \vert \rho _{n}\ast w_{x} \vert \bigr)\,dx \leq &8N \int _{\mathbb{R}} \vert \rho _{n}\ast w \vert \,dx \\ & {} +9N \int _{\mathbb{R}} \vert \rho _{n}\ast w_{x} \vert \,dx+R_{n} \\ \leq &9N \int _{\mathbb{R}}\bigl( \vert \rho _{n}\ast w \vert + \vert \rho _{n}\ast w _{x} \vert \bigr) \,dx+R_{n}. \end{aligned}$$
(49)

It follows from the Gronwall inequality that for a.e. \(t\in \mathbb{R}_{+}\) and all \(n\geq 1\)

$$\begin{aligned} \int _{\mathbb{R}} \bigl( \vert \rho _{n}\ast w \vert + \vert \rho _{n}\ast w _{x} \vert \bigr)\,dx \leq& \biggl[ \int ^{t}_{0}R_{n}(s) \,d s \\ & {} + \int _{\mathbb{R}} \bigl( \vert \rho _{n}\ast w \vert + \vert \rho _{n}\ast w _{x} \vert \bigr) (0,x) \,dx \biggr]e^{9Nt}. \end{aligned}$$
(50)

Fix \(t>0\) and let \(n\rightarrow \infty \) in (50). Since \(w=u-v\in W^{1,1}(\mathbb{R})\) and Eq. (39) holds, making use of Lebesgue’s dominated convergence theorem yields

$$\begin{aligned}& \int _{\mathbb{R}} \bigl( \vert w \vert + \vert w_{x} \vert \bigr)\,dx\leq \biggl[ \int _{\mathbb{R}} \bigl( \vert w \vert + \vert w_{x} \vert \bigr) (0,x) \,dx \biggr]e^{9Nt}. \end{aligned}$$
(51)

Note that \(w(0)=w_{x}(0)=0\), therefore, we obtain \(u(t,x)=v(t,x)\) for a.e. \((t,x)\in \mathbb{R}_{+}\times \mathbb{R}\). This completes the proof of the theorem. □

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Acknowledgements

The author thanks the referees for their valuable comments and suggestions. This work is supported by Zunyi Normal University Doctoral Program project [grant number BS[2017]10], Department of Guizhou Province Education project [grant number QianJiaoHe KY Zi[2019]124 and the GuiZhou Province Science and Technology Plan Project [Grant number QianKeHe Platform Talents [2018]5784].

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Guo, Y. On weak solutions to a generalized Camassa–Holm equation with solitary wave. Bound Value Probl 2020, 15 (2020). https://doi.org/10.1186/s13661-020-01326-3

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