1 Introduction
In the pioneering work [Reference Aronson and Weinberger1], the authors considered the problem
and obtained the so-called hair-trigger effect, which states that spreading always happens (that is,
$\lim _{t\to \infty } u(t,x)=1$
) for the solution starting from any nonnegative initial data, no matter how small it is. The dynamics of reaction-diffusion equations in both bounded and unbounded domains have been studied extensively (see [Reference Hamel, Lutscher and Zhang10]).
Du and Lin [Reference Du and Lin6] introduced the free boundary problem
$$ \begin{align*} \begin{cases} u_t=u_{xx}+u(1-u), & t>0,\ x \in (g(t),h(t)), \\ u(t,g(t))=0,\ g'(t)=-\mu u_x(t,g(t)), & t>0, \\ u(t,h(t))=0,\ h'(t)=-\mu u_x(t,h(t)), & t>0, \\ \end{cases} \end{align*} $$
where
$ h(0)=h_0=-g(0)$
with
$h_0>0$
and
$u(0,x)>0$
in
$[-h_0,h_0]$
. The free boundaries
$x=h(t)$
and
$x=g(t)$
represent the spreading fronts of the population whose density is denoted by
$u(t,x)$
. They proved that either spreading happens, that is,
$-g(t),\ h(t) \to\infty $
,
$u\to 1$
locally uniformly in
$\mathbb {R}$
as
$t \to \infty $
, or vanishing happens, that is,
$g(t) \to g_\infty $
,
$h(t) \to h_\infty $
with
$h_\infty -g_\infty \leq \pi $
,
$u \to 0$
uniformly in
$[g_\infty ,h_\infty ]$
as
$t \to \infty $
.
Subsequently, Gu et al. [Reference Gu, Lou and Zhou9] extended this model to advective environments by adding an advection term, leading to the free boundary problem
$$ \begin{align*} \begin{cases} u_t=u_{xx}-\beta u_x+u(1-u), & t>0,\ x \in (g(t),h(t)), \\ u(t,g(t))=0,\ g'(t)=-\mu u_x(t,g(t)), & t>0, \\ u(t,h(t))=0,\ h'(t)=-\mu u_x(t,h(t)), & t>0. \end{cases} \end{align*} $$
They showed that if
$\beta \in (0,2)$
, there is a spreading–vanishing dichotomy result, while if
$\beta \geq 2$
, spreading does not happen. A rather complete description of the asymptotic behaviour of solutions is obtained. Relevant background on the dynamics of free boundary problems can be found in [Reference Du4].
In 2020, Du et al. [Reference Du, Lou, Peng and Zhou8] studied the problem
$$ \begin{align*} \begin{cases} \partial_{t}v_{U}-\partial_{xx}v_{U}+\beta_{U}\partial_{x}v_{U}=v_{U}-v_{U}^{2}, & x\in\mathbb{R}_{U},\ t>0,\\ \partial_{t}v_{L}-\partial_{xx}v_{L}+\beta_{L}\partial_{x}v_{L}=v_{L}-v_{L}^{2}, & x\in\mathbb{R}_{L},\ t>0,\\ v_{U}(t,0)=v_{L}(t,0), \ a_U\partial_{x}v_{U}(t,0)=a_L\partial_{x}v_{L}(t,0), & t>0,\\ \end{cases} \end{align*} $$
where
$\beta _{U},\ \beta _{L},\ a_U$
and
$a_L$
are positive constants. Let U and L denote the upstream and downstream branches, respectively. The subscripts U and L are used in parameters such as
$v_U,\ v_L,\ \beta _U,\ \beta _L,\ a_U$
and
$a_L$
. Thus,
$\beta _U$
and
$\beta _L$
denote the advection coefficients in each respective branch. They found that when
$\beta _U\in (0,2)$
,
$(v_U,v_L)\to (1,1)$
locally uniformly as
$t\to \infty $
; when
$\beta _U,\ \beta _L\geq 2$
,
$(v_U,v_L)\to (0,0)$
locally uniformly as
$t\to \infty $
; when
$0<\beta _L<2\leq \beta _U$
,
$(v_U,v_L)\to (\Psi _U, \Psi _L)$
locally uniformly as
$t\to \infty $
, where
$(\Psi _U, \Psi _L)$
is a stationary solution of the Cauchy problem (see [Reference Du, Lou, Peng and Zhou8] for details).
To describe the biological invasion of species in a two-branch river system, we consider a free boundary model with small advection speeds:
$$\begin{align} \begin{cases} \partial_{t}w_{U}-\partial_{xx}w_{U}+\beta_{U}\partial_{x}w_{U}=w_{U}-w_{U}^{2}, & g(t)<x<0,\ t>0,\\ \partial_{t}w_{L}-\partial_{xx}w_{L}+\beta_{L}\partial_{x}w_{L}=w_{L}-w_{L}^{2}, & 0<x<h(t),\ t>0,\\ g(0)=-h_0,\ w_{U}(t,x)=0,\ g^{\prime}(t)=-\mu\partial_{x}w_{U}(t,x), & t>0,\ x=g(t),\\ h(0)=h_0,\ w_{L}(t,x)=0,\ h^{\prime}(t)=-\mu\partial_{x}w_{L}(t,x), & t>0,\ x=h(t),\\ w_{U}(t,0)=w_{L}(t,0), & t>0,\\ a_U\partial_{x}w_{U}(t,0)=a_L\partial_{x}w_{L}(t,0), & t>0,\\ w_{U}(0,x)=w_{0}(x), w_{L}(0,y)=w_{0}(y), & x\in[-h_{0},0],\ y\in[0,h_0]. \end{cases} \end{align} $$
In our model, U and L denote the upstream and downstream branches. The functions
$w_U(t, x)$
and
$w_L(t,x)$
represent the population density in
$[g(t),0]$
and
$[0,h(t)]$
, respectively, the constant
$\mu>0$
measures the ability for spreading into the new habitat of this species (see [Reference Bunting, Du and Krakowski2]), and
$\beta _{L},\ \beta _{U}\in (0,2)$
. By the conservation of flow at
$x=0$
, we have
$a_L\beta _L=a_U\beta _U$
, where
$a_U,\ a_L$
are positive constants. The fifth line represents the natural continuity connection condition and the sixth line is the Kirchhoff law, which is given by the continuity connection condition and the conservation of flow at the junction point
$0$
(see [Reference Du, Lou, Peng and Zhou8]). The initial function
$w_0$
belongs to
$\mathscr {X}(h_0)$
for some
$h_0>0$
, where
The main purpose of this paper is to study the long-time behaviour of solutions to (
P
). In this paper, we only consider
$\beta _U,\ \beta _L\in (0,2)$
; a forthcoming paper [Reference Ji and Sun11] considers the case
$\beta _U>2$
or
$\beta _L>2$
. The first result is the well-posedness of the problem.
Theorem 1.1 (Well-posedness)
Assume
$\beta _L,\ \beta _U>0$
. For any
$w_0\in \mathscr {X}(h_0)$
with
$h_0>0$
and any
$\alpha \in (0,1)$
, problem (
P
) admits a unique solution pair
$(w_U, w_L, g, h)$
with
Throughout this paper, for constants
$a<b$
and functions
$l(t)<r(t)$
, we define
The sets
$(a,b)\times [l,r]$
,
$[a,b]\times (l, r)$
are defined similarly. Denote
The long-time behaviour of problem ( P ) is determined in the following theorem.
Theorem 1.2. Assume
$\beta _L,\ \beta _U\in (0,2)$
and
$(w_U,w_L,g,h)$
is a time-global solution of (
P
) with
$w_0=\sigma \phi $
for some
$\sigma \geq 0$
. There is
$\sigma ^*=\sigma ^*(h_0, \phi , \beta _U, \beta _L)\in [0,\infty ]$
such that:
-
(i) when
$\sigma> \sigma ^*$
, spreading happens in the sense that
$I_\infty ={\mathbb {R}}$
and
$(w_U,w_L)\to (1,1)$
locally uniformly as
$t\to \infty $
; -
(ii) when
$0 \leq \sigma \leq \sigma ^*$
, vanishing happens in the sense that
$I_\infty $
is a bounded interval,
$\|w_U(t,\cdot )\|_{L^\infty ([g(t),0])}\to 0$
and
$\|w_L(t,\cdot )\|_{L^\infty ([0, h(t)])}\to 0$
as
$t\to \infty $
.
Moreover, if
$h_0 \geq \hbar ^*$
, then
$\sigma ^*=0$
, where
$\hbar ^*$
is given in Lemma 3.1.
Here and in what follows, we say
$(w_U,w_L)$
converges locally uniformly if
$w_U$
converges locally uniformly in
$(-\infty ,0]$
, and
$w_L$
converges locally uniformly in
$[0, +\infty )$
.
The rest of the paper is organised as follows. In Section 2, we give some basic results including the comparison principle and well-posedness for ( P ). Section 3 covers the long-time behaviour of the solution of ( P ) and the proof of Theorem 1.2.
2 Comparison principle and well-posedness
In this section, we give some basic results which are used later in the paper.
2.1 Comparison principle
In this subsection, we establish the comparison principle, which is used in the rest of this paper.
Lemma 2.1. Assume that
$T\in (0,\infty )$
,
$\hat {g}, \hat {h}\in C^1([0,T])$
,
$\hat {w}_U\in C(\overline {D^T_U})\cap C^{1,2}(D^T_U)$
and
$\hat {w}_L\in C(\overline {D^T_L})\cap C^{1,2}(D^T_L)$
with
$D^T_U:=(0,T]\times (\hat {g}, 0)$
,
$D^T_L:=(0, T]\times (0,\hat {h})$
. Assume
$$ \begin{align*} \begin{cases} \partial_{t}\hat{w}_{U}-\partial_{xx}\hat{w}_{U}+\beta_{U}\partial_{x}\hat{w}_{U}\geq \hat{w}_{U}-\hat{w}_{U}^{2}, & \hat{g}(t)<x<0,\ t\in(0,T],\\ \partial_{t}\hat{w}_{L}-\partial_{xx}\hat{w}_{L}+\beta_{L}\partial_{x}\hat{w}_{L}\geq\hat{w}_{L}-\hat{w}_{L}^{2}, & 0<x<\hat{h}(t),\ t\in(0,T],\\ \hat{w}_{U}(t,\hat{g}(t))=0,\ \hat{g}'(t)\leq -\mu\partial_{x}\hat{w}_{U}(t,\hat{g}(t)), & t\in(0,T],\\ \hat{w}_{L}(t,\hat{h}(t))=0,\ \hat{h}'(t)\geq-\mu\partial_{x}\hat{w}_{L}(t,\hat{h}(t)), & t\in(0,T],\\ \hat{w}_{U}(t,0)=\hat{w}_{L}(t,0), \ a_U\partial_{x}\hat{w}_{U}(t,0)\geq a_L\partial_{x}\hat{w}_{L}(t,0), & t\in(0,T]. \end{cases} \end{align*} $$
If
$[-h_0, h_0]\subseteq [\hat g(0), \hat h(0)]$
and
$(w_U(0, \cdot ), w_L(0,\cdot ))\leq (\hat {w}_U(0, \cdot ), \hat {w}_L(0,\cdot ))$
, where the solution pair
$(w_U, w_L,g, h)$
is a solution to problem (
P
), then
The above lemma can be proved by similar arguments to those of [Reference Du and Lin6, Reference Du, Lou, Peng and Zhou8, Reference Jin, Peng and Shi12], so the details are omitted.
Remark 2.2. The pair
$(\hat {w}_{U}, \hat {w}_L)$
, or
$(\hat {w}_{U}, \hat {w}_L,\hat g, \hat h)$
, is often called a supersolution of (
P
). A subsolution can be defined analogously by reversing all the inequalities.
2.2 Well-posedness
We first establish the local existence of a solution to problem (
P
) for any
$\beta _U,\ \beta _L>0$
, and prove its uniqueness. Then, we show that the local solution can be extended to all time by an estimate on the free boundaries.
Theorem 2.3. For any given
$\beta _U,\ \beta _L>0$
and any fixed
$\alpha \in (0,1)$
, there exists a
$T>0$
such that problem (
P
) with
$w_0\in \mathscr {X}(h_0)$
for some
$h_0>0$
admits a unique solution
$(w_U,w_L,g,h)$
, which satisfies
$g\in C^{1+{\alpha }/{2}}([0,T])$
,
$h\in C^{1+{\alpha }/{2}}([0,T])$
and
Proof. First, we transform (
P
) into a fixed boundary problem as in [Reference Chen and Friedman3, Reference Du and Lin6]. Let
$\xi _1(y)$
and
$\xi _2(y)$
in
$C^{3}(\mathbb {R})$
be two nonnegative functions with
$\xi _2(y)=\xi _1(-y)$
and
If we set
$$ \begin{align*} \begin{cases} v_U(t,y):=w_U(t,y+\xi_{2}(y)(g(t)+h_{0}))=w_U(t,x), & y<0,\\ v_L(t,y):=w_L(t,y+\xi_{1}(y)(h(t)-h_{0}))=w_L(t,x), & y>0, \end{cases} \end{align*} $$
then the free boundary problem becomes
$$ \begin{align} \begin{cases} \partial_t v_U-A_U \partial_{yy}{v}_U-(B_U+C_U-\beta_U\sqrt{A_U})\partial_y{v}_U=f(v_U), & t>0,\ y\in(-h_0,0),\\ \partial_t v_L-A_L\partial_{yy}{v}_L-(B_L+C_L-\beta_L\sqrt{A_L})\partial_y{v}_L=f(v_L), & t>0,\ y\in(0,h_0),\\ v_U(t,0)=v_L(t,0), a_U\partial_{y}v_{U}(t,0)=a_L\partial_{y}v_{L}(t,0), & t>0,\\ v_U(0,z)=w_0(z), v_L(0,y)=w_0(y), & z\in[-h_0,0],\ y\in[0,h_0],\\ \end{cases} \end{align} $$
where, for
$y<0$
,
$t>0$
,
$$ \begin{align*} \sqrt{A_U(t,y)}&:=\frac{1}{1+\xi_2'(y)(g(t)+h_0)},\\ B_U(t,y)&:=-\frac{\xi_2"(y)(g(t)+h_0)}{[1+\xi_2'(y)(g(t)+h_0)]^3}, \\ C_U(t,y)&:=\frac{\xi_2(y)g'(t)}{1+\xi_2'(y)(g(t)+h_0)} \end{align*} $$
and, for
$y>0$
,
$t>0$
,
$$ \begin{align*} \sqrt{A_L(t,y)}&:=\frac{1}{1+\xi_1'(y)(h(t)-h_0)},\\ B_L(t,y)&:=-\frac{\xi_1"(y)(h(t)-h_0)}{[1+\xi_1'(y)(h(t)-h_0)]^3}, \\ C_L(t,y)&:=\frac{\xi_1(y)h'(t)}{1+\xi_1'(y)(h(t)-h_0)}. \end{align*} $$
Denote
$h_{1}=-\mu w^{\prime }_{0}(h_{0})$
,
$g_1=\mu w^{\prime }_{0}(-h_{0})$
. For
$ 0<T\leq {h_{0}}/{16(1+h_{1}+g_1)}+1:=T_1$
, define
$$ \begin{align*} D_{g, T} & :=\{g\in C^1([0,T]):g(0)=-h_0, g^{\prime}(0)=-g_1, \|g^{\prime}+g_1\|_{C([0,T])}\leq 1 \}, \\ D_{h, T} & :=\{h\in C^1([0,T]):h(0)=h_0, h^{\prime}(0)=h_1, \|h^{\prime}-h_1\|_{C([0,T])}\leq 1 \}. \end{align*} $$
Then,
$D_T:=D_T^g \times D_T^h$
is a bounded and closed convex set of
$C^1([0,T])\times C^1([0,T])$
. For
$T\in (0, T_1)$
, we define a subspace of
$D_{T_1}$
by
$D^T_{T_1}=D^T_{g, T_1}\times D^T_{h, T_1}$
with
$$ \begin{align*} D^T_{g, T_1} & :=\{g\in D_{g, T_1}: g(t)=g(T) \text{ in } [T, T_1] \}, \\ D^T_{h, T_1} & :=\{h\in D_{h, T_1}: h(t)=h(T) \text{ in } [T, T_1]\}. \end{align*} $$
Clearly, we can extend each
$(g, h)\in D_T$
to be a member of
$D^T_{T_1}$
as indicated above. In what follows, we will always identify
$D^T_{T_1}$
with
$D_T$
. For each
$(g, h)\in D_T=D^T_{T_1}\subseteq D_{T_1}$
, we apply the extension trick of [Reference Wang15, Reference Wang and Du16], the
$L^p$
estimates and the Sobolev embedding theorem to show that problem (2.1) has a unique solution
$(v_U, v_L)$
with
where
$\Omega _{T_1}^U=[0,T_1]\times [-h_0,0]$
,
$\Omega _{T_1}^L=[0,T_1]\times [0, h_0]$
,
$C_{1}$
is a constant dependent on
$\mu $
,
$h_{0}$
, and
$\| w_{0}\|_{C^{2}([-h_{0},h_{0}])}$
,
$C_{T_1}$
and
$C_{T_1}$
depend on
$h_0$
,
$T_1$
and
$\alpha $
.
For
$t\in [0,T_1]$
, define
$$ \begin{align*} \hat{h}(t)=h_0-\int_{0}^{t}\mu\partial_y{v_L}(\tau,h_0) \,{d}\tau,\quad \hat{g}(t)=-h_0-\int_{0}^{t}\mu\partial_y{v_U}(\tau,-h_0) \,{d}\tau. \end{align*} $$
Then,
$\hat {h}'(t)=-\mu \partial _y{v_L}(t,h_0)$
and
$\hat {h}'(0)=-\mu w^{\prime }_{0}(h_{0})=h_1$
, so that
$\hat {h}'\in C^{{\alpha }/{2}}([0,T_1])$
with
$\|\hat {h}'\| _{C^{{\alpha }/{2}}([0,T_1])}\leq \mu C_{1}=:C_{2}$
. Similarly,
$\hat {g}'\in C^{{\alpha }/{2}}([0,T_1])$
with
$\|\hat {g}'\| _{C^{{\alpha }/{2}}([0,T_1])}\leq C_{2}$
.
Next, define the mapping
$\mathcal {F}:D_T=D^T_{T_1}\to C^1([0,T_1])\times C^1([0,T_1])$
by
$\mathcal {F}(g,h)=(\hat {g}, \hat {h})$
. We show that if
$T>0$
is small, then
$\mathcal {F}$
has a fixed point by the Schauder fixed point theorem. For any
$T\in (0, T_1)$
, by the above results,
Taking
$T< T_2:=\min \{T_1, C_2^{-{2}/{\alpha }}\}$
, we conclude that
$\mathcal {F}$
maps
$D_T$
into itself. Consequently, by the Schauder fixed point theorem,
$\mathcal {F}$
has at least one fixed point which also means that problem (
P
) admits at least one solution
$(w_U,w_L,g,h)$
.
Next, we show the uniqueness of the solution to problem (
P
). For this purpose, let
$(w_{U}^i,w_{L}^i,g_i,h_i)$
(for
$i=1,2$
) be two solutions of problem (
P
) for
$t\in [0,T]$
, and set
$$ \begin{align*} \begin{cases} v_U^i(t,y):=w_U^i(t,y+\xi_{2}(y)(g_i(t)+h_{0})), & y<0,\\ v_L^i(t,y):=w_L^i(t,y+\xi_{1}(y)(h_i(t)-h_{0})), & y>0. \end{cases} \end{align*} $$
From the above estimates,
Define
$\tilde {g}(t):=g_1(t)-g_2(t)$
,
$\tilde {h}(t):=h_1(t)-h_2(t)$
,
$V_U(t,y):={v}_U^1(t,y)-{v}_U^2(t,y)$
and
$V_L(t,y):={v}_L^1(t,y)-{v}_L^2(t,y)$
. Since
$T\leq T_1$
, we can check that for any
$t\in [0,T]$
,
$$ \begin{align*} \begin{cases} \partial_tV_U-A_U^2\partial_{yy}V_U-(B_U^2+C_U^2-\beta_U\sqrt{A_U^2})\partial_yV_U=\tilde{f}_U(t,y), & t\in(0,T],\ y\in(-h_0,0),\\ \partial_tV_L-A_L^2\partial_{yy}V_L-(B_L^2+C_L^2-\beta_L\sqrt{A_L^2})\partial_yV_L=\tilde{f}_L(t,y), & t\in(0,T],\ y\in(0,h_0),\\ V_U(t,-h_0)=0=V_L(t,h_0), & t\in(0,T],\\ V_U(t,0)=V_L(t,0), a_U\partial_yV_U(t,0)=a_L\partial_yV_L(t,0), & t\in(0,T],\\ \end{cases} \end{align*} $$
with
$V_U(0,z)=V_L(0,y)=0$
for
$z\in [-h_0,0]$
,
$y\in [0,h_0]$
and
$$ \begin{align*} \tilde{f}_U(t,y) & =f(v_{U}^1)-f(v_{U}^2)+(A_U^1-A_U^2)\partial_{yy}{v}_{U}^1 \\&\quad +\bigg[B_{U}^1-B_{U}^2+C_{U}^1-C_{U}^2-\beta_U\bigg(\sqrt{A_{U}^1}-\sqrt{A_{U}^2}\bigg)\bigg]\partial_{y}{v}_{U}^1,\\\tilde{f}_L(t,y) & =f(v_{L}^1)-f(v_{L}^2)+(A_L^1-A_L^2)\partial_{yy}{v}_{L}^1 \\&\quad +\bigg[B_{L}^1-B_{L}^2+C_{L}^1-C_{L}^2-\beta_L\bigg(\sqrt{A_{L}^1}-\sqrt{A_{L}^2}\bigg)\bigg]\partial_{y}{v}_{L}^1, \end{align*} $$
where
$A^i_j$
,
$B^i_j$
and
$C^i_j$
are the coefficients of problem (2.1) with
$(g_i,h_i)$
in place of
$(g, h)$
for
$j\in \{U, L\}$
. We apply the extension trick of [Reference Wang15, Reference Wang and Du16], the
$L^p$
estimates for parabolic equations and the Sobolev embedding theorem to see that
where
$C_3$
depends only on
$h_{0}$
,
$\| w_{0}\|_{C^{2}}$
,
$C_1,\ C_2$
and
$\alpha $
, but is independent of
$T\in (0,T_1]$
.
Recalling that
$\tilde {g}'(0)=g_1'(0)-g_2'(0)$
, from (2.2),
where
$C_4:=2\mu C_3$
. Similarly,
$ \|\tilde {h}\|_{C^1([0,T])}\leq C_4 T^{{\alpha }/{2}} (\|\tilde {g}\|_{C^1([0,T])}+\|\tilde {h}\|_{C^1([0,T])})$
. Consequently,
If we take
$T<\min \{T_1,\ C_2^{-{2}/{\alpha }},\ (4C_4)^{-{2}/{\alpha }}\}$
, it then follows from (2.3) that
This implies that
$\tilde {g}\equiv 0\equiv \tilde {h}$
, which implies that
$V_U\equiv 0\equiv V_L$
, establishing uniqueness of local solutions of problem (
P
). By the Schauder estimates,
$w_U(t,x)\in C^{1+\alpha /2,2+\alpha }((0,T]\times [g(t),0])$
and
$w_L(t,x)\in C^{1+\alpha /2,2+\alpha }((0,T]\times [0, h(t)])$
.
Lemma 2.4. For any given
$\beta _U,\ \beta _L>0$
, problem (
P
) admits a unique positive solution
$(w_U,w_L,g,h)$
which exists for all
$t\in (0,\infty )$
.
Proof. Let
$[0,T_{\mathrm {max}})$
be the maximal time interval of existence for the solution. We assume
$T_{\mathrm {max}}<\infty $
. Let
$K_0:=\|w_0\|_{L^{\infty }}+1$
. From Lemma 2.1,
Furthermore,
$f(s)=s-s^2 \leq K_0$
for
$s\in [0,K_0]$
. For
$(t,x)\in (0,T_{\mathrm {max}})\times (h(t)-M^{-1}, h(t))$
, define
$u_L(t,x):=K_0[2M(h(t)-x)-M^2(h(t)-x)^2]$
, where
$$ \begin{align*} M:=\max\bigg\{h_{0}^{-1}, \sqrt{\dfrac{1}{2} \beta_L}+\sqrt{\dfrac{1}{4}\beta_L^2+1}, \sqrt{\dfrac{1}{2}\beta_U}+\sqrt{\dfrac{1}{4}\beta_U^2+1}, \frac{4\|w_{0}\|_{C^{1}([0,h_{0}])}}{3K_{0}}\bigg\}. \end{align*} $$
From direct calculations and the comparison principle,
Similar to the proof of Theorem 2.3, by the
$L^p$
theory,
for any
$p>1$
and
$T\in (T_{\mathrm {max}}/2, T_{\mathrm {max}})$
. From the Sobolev embedding theorem, for any
$\alpha \in (0,1)$
and some large enough
$p>1$
depending on
$\alpha $
,
where
$C_{p,\alpha }$
is a positive constant independent of
$T\in (T_{\mathrm {max}}/2, T_{\mathrm {max}})$
.
Choose
$t_n\in (0,T_{\mathrm {max}})$
with
$t_n\nearrow T_{\mathrm {max}}$
, and regard
$(w_U(t_n, \cdot ), w_L(t_n, \cdot ), g(t_n), h(t_n))$
as the initial data. By (2.4) and the properties of g and h, we can repeat the proof of Theorem 2.3 to conclude that there is
$s_0>0$
depending on
$C_{p,\alpha }$
but independent of n such that problem (
P
) has a unique solution
$(w_U, w_L, g, h)$
for
$t\in [t_n, t_n+s_0]$
. It follows that problem (
P
) admits a solution
$(w_U, w_L,g,h)$
, which is defined for
$t\in [0,t_n+s_0]$
. As
$t_n+s_0>T_{\mathrm {max}}$
for
$n\gg 1$
, this contradicts the definition of
$T_{\mathrm {max}}$
, and so we see that
$T_{\mathrm {max}}=\infty $
, as desired. The proof is complete.
3 Classification of dynamical behaviour
This section deals with the long-time dynamical behaviour of our problem and the proof of Theorem 1.2.
3.1 Linear eigenvalue problem
For any
$\beta _L,\ \beta _U,\ l_1$
and
$l_2>0$
, it is known that
$$ \begin{align} \begin{cases} -\varphi_{U}" + \beta_{U}\varphi_{U}'-\varphi_U= \lambda \varphi_{U}, & -l_1 < x < 0, \\ -\varphi_{L}" + \beta_{L}\varphi_{L}'-\varphi_L= \lambda \varphi_{L}, & 0 < x < l_2, \\ \varphi_U(0) = \varphi_L(0), \quad a_{U}\varphi_{U}'(0) = a_{L}\varphi_{L}'(0), \\ \varphi_{U}(-l_1) = 0=\varphi_{L}(l_2), \end{cases} \end{align} $$
admits a principal eigenvalue
$\lambda _1(l_1,l_2)$
. We obtain the following result.
Lemma 3.1. For any given
$l_1,\ l_2>0$
,
$0<\beta _L,\ \beta _U<2$
, the following statements hold.
-
(i) If
$l_2 \geq {2\pi }/{\sqrt {4-\beta _{L}^2}}$
, then
$\lambda _1(l_1,l_2)\leq 0$
for all
$l_1>0$
. -
(ii) If
$l_2 <{2\pi }/{\sqrt {4-\beta _{L}^2}}$
, then there exists (3.2)such that
$$ \begin{align} \ell^*(l_2)=-\dfrac{2}{\sqrt{4-\beta_{U}^2}} \mathrm{arctan} \,\bigg(\frac{\beta_{L}\sqrt{4- \beta_{U}^2}} {\beta_{U}\sqrt{4- \beta_{L}^2}}\tan l_2\sqrt{1-\dfrac{1}{4}\beta_{L}^2} \bigg) \end{align} $$
$\lambda _1(l_1,l_2)$
is negative,
$0$
or positive according as
$l_1>\ell ^*(l_2)$
,
$l_1=\ell ^*(l_2)$
or
$l_1<\ell ^*(l_2)$
. There is a unique
$\hbar ^*\in (0, {2\pi }/{\sqrt {4-\beta _{L}^2}})$
satisfying
$\ell ^*(\hbar ^*)=\hbar ^*$
.
Proof. (i) We can check directly that if
$l_2 \geq {2\pi }/{\sqrt {4-\beta _{L}^2}}$
, then the principal eigenvalue
$\tilde {\lambda }_1$
of
satisfies
$\tilde {\lambda }_1\leq 0$
. By the comparison principle, we obtain the desired result.
(ii) Given
$0<l_{1}^{1}<l_{1}^{2}< {2\pi }/{\sqrt {4-\beta _{L}^2}}$
, let
$(\varphi _{L,i}, \varphi _{U,i})$
be the positive principal eigenfunction pair of problem (3.1) corresponding to
$\lambda _{1}^{i}$
with
$l_1$
replaced by
$l_{1}^{i}$
for
$i=1,\ 2$
. Then,
$\varphi _{U,i}(-l_{1}^{i}) = 0=\varphi _{L,i}(l_2)$
and
$$ \begin{align*} \begin{cases} -\varphi_{U,i}" + \beta_{U}\varphi_{U,i}'-\varphi_{U,i}= \lambda_1^{i}\varphi_{U,i}, & -l_{1}^{i} < x < 0, \\ -\varphi_{L,i}" + \beta_{L}\varphi_{L,i}'-\varphi_{L,i}= \lambda_1^{i}\varphi_{L,i}, & 0 < x < l_2, \\ \varphi_{U,i}(0) = \varphi_{L,i}(0), \quad a_{U}\varphi_{U,i}'(0) = a_{L}\varphi_{L,i}'(0). \end{cases} \end{align*} $$
Motivated by [Reference Meng, Ge and Lin13, Reference Xu, Lin and Santos17], multiply the equation for
$\varphi _{L,1}$
by
$\varphi _{L,2}$
and the equation for
$\varphi _{L,2}$
by
$\varphi _{L,1}$
, subtract the resulting equations, and integrate over
$(0,l_2)$
to obtain
$$ \begin{align} (\lambda_1^{1}-\lambda_1^{2})\int_{0}^{l_2}\varphi_{L,1}\varphi_{L,2}\,{d}x= \varphi_{L,2}(0)\varphi_{L,1}^{\prime}(0)-\varphi_{L,1}(0)\varphi_{L,2}^{\prime}(0). \end{align} $$
Similarly,
$$ \begin{align} (\lambda_1^{1}-\lambda_1^{2})\int_{-l_{1}^{1}}^{0}\varphi_{U,1}\varphi_{U,2}\, {d}x= \varphi_{U,1}(0)\varphi_{U,2}^{\prime}(0)-\varphi_{U,2}(0)\varphi_{U,1}^{\prime}(0)+\varphi_{U,2}(-l_{1}^{1})\varphi_{U,1}^{\prime}(-l_{1}^{1}). \end{align} $$
We claim that
$\Phi = \varphi _{L,2}(0)\varphi _{L,1}^{\prime }(0)-\varphi _{L,1}(0)\varphi _{L,2}^{\prime }(0)> 0$
. Otherwise,
$\Phi \leq 0$
. It follows from (3.3) that
$\lambda _1^{1} \leq \lambda _1^{2}$
. Moreover,
This, together with (3.4), implies that
$\lambda _1^{1}>\lambda _1^{2}$
, which is a contradiction. This proves our claim and that
$\lambda _1^{1}>\lambda _1^{2}$
. The monotonicity of
$\lambda _1(l_1,l_2)$
in
$l_1>0$
is established.
Next, we prove that
$\lambda _{0} := \lim _{l_{1} \to 0} \lambda_1 (l_{1}, l_{2})> 0$
. The monotonicity of
$\lambda _1(l_1,l_2)$
in
$l_1>0$
implies the existence of the limit
$\lambda _0$
. Letting
$l_1\to 0$
in problem (3.1) gives
Since
$l_2<{2\pi }/{\sqrt {4-\beta _{L}^2}}$
, we see that
$\lambda _0>0$
. Moreover, since
$\beta _{U}\in (0,2)$
, it follows from a similar argument to that in item (i) that
$\lambda (l_{1}, l_{2}) < 0$
when
$l_1 \geq {2\pi }/{\sqrt {4-\beta _U^2}}$
. This, together with the above arguments, implies the existence and uniqueness of
$\ell ^{*}(l_2)$
.
Finally, setting
$\varphi _j(x):=e^{\beta _jx/2}\psi _{j}(x)$
for
$j=U,\ L$
and
$l_1=\ell ^{*}(l_2)$
in (3.1), we see that there are four constants
$C_1>0$
,
$C_2>0$
,
$\theta _1$
and
$\theta _2$
such that
on the respective intervals
$(0,l_2)$
and
$(-\ell^*(l_2),0)$
. Since
$\psi _{U}(-\ell ^{*}(l_2)) = \psi _{L}(l_2) = 0$
, then
Recalling that
$a_{U}\psi _{U}^{\prime }(0)=a_{L}\psi _{L}^{\prime }(0)$
and
$\psi _{L}(0)=\psi _{U}(0)$
, a direct calculation yields
This, together with the above results, proves (3.2). Further,
$\ell ^{*}(l_2)$
is decreasing in
$l_2$
,
$\ell ^{*}(l_2)\to 0$
as
$l_2\to {2\pi }/{\sqrt {4-\beta _{L}^2}}$
and
$\ell ^{*}(l_2)\to {2\pi }/{\sqrt {4-\beta _U^2}}$
as
$l_2\to 0$
. The monotonicity of
$\ell ^{*}(l_2)$
yields the existence and uniqueness of
$\hbar ^*$
.
3.2 Vanishing phenomenon
We start with the following result on vanishing.
Lemma 3.2. Assume that
$\beta _U,\ \beta _L\in (0,2)$
, and
$(w_U,w_L,g,h)$
is a solution of problem (
P
) with
$w_0\in \mathscr {X}(h_0)$
and
$h_0>0$
. Then, the following three assertions are equivalent:
where
$\lambda _1(-g_\infty , h_\infty )$
is the principal eigenvalue of (3.1) with
$l_1=-g_\infty $
,
$l_2=h_\infty $
.
Proof. (i)
$\Rightarrow $
(ii) Without loss of generality, assume that
$h_{\infty }< \infty $
. Aiming for a contradiction, assume that
$\lambda _1(-g_\infty , h_\infty )<0$
. Then, there is
$t_1>0$
large enough such that
$\lambda _1(-g(t_1), h(t_1))<0$
. Now, we consider the auxiliary problem:
$$ \begin{align*} \begin{cases} \partial_{t}\underline{w}_{U}-\partial_{xx}\underline{w}_{U}+\beta_{U}\partial_{x}\underline{w}_{U}=\underline{w}_{U}-\underline{w}_{U}^{2}, & g(t_1)<x<0,\ t>t_1,\\ \partial_{t}\underline{w}_{L}-\partial_{xx}\underline{w}_{L}+\beta_{L}\partial_{x}\underline{w}_{L}=\underline{w}_{L}-\underline{w}_{L}^{2}, & 0<x<\xi(t),\ t>t_1,\\ \underline{w}_{L}(t,\xi(t))=0=\underline{w}_{U}(t,g(t_1)),& t>t_1,\\ \xi(t_1)=h(t_1),\ \xi'(t)=-\mu\partial_{x}\underline{w}_{L}(t,\xi(t)), & t>t_1,\\ \underline{w}_{U}(t,0)=\underline{w}_{L}(t,0), \ a_U\partial_{x}\underline{w}_{U}(t,0)=a_L\partial_{x}\underline{w}_{L}(t,0), & t>t_1,\\ \underline{w}_{L}(t_1,x)=w_L(t_1, x),\ \underline{w}_{U}(t_1,y)=w_U(t_1,y), & x\in[0,h(t_1)],\ y\in[g(t_1),0]. \end{cases} \end{align*} $$
Clearly,
$(\underline {w}_U, \underline {w}_{L})$
is a subsolution of problem (
P
). Thus,
$\xi (t)\leq h(t)$
and
$\xi (\infty )<\infty $
. It follows from a similar argument to that in [Reference Du and Guo5, Lemma 2.2] that
where
$(\Phi _U, \Phi _{L})$
is the solution pair of
$$ \begin{align*} \begin{cases} -\Phi_{U}"+\beta_{U}\Phi^{\prime}_{U}=\Phi_{U}-\Phi_U^{2}, & g(t_1)<x<0,\\ -\Phi_L"+\beta_{L}\Phi^{\prime}_{L}=\Phi_{L}-\Phi_{L}^{2}, & 0<x<\xi(\infty), \\ \Phi_{L}(\xi(\infty))=0=\Phi_{U}(g(t_1)),\\ \Phi_U(0)=\Phi_{L}(0), \ a_U\Phi^{\prime}_{U}(0)=a_L\Phi^{\prime}_{L}(0). \end{cases} \end{align*} $$
It follows that
$\xi '(t) \to -\mu \Phi _{L}'(\xi (\infty ))>0$
, which contradicts
$\xi (\infty )<\infty $
.
(ii)
$\Rightarrow $
(i) Since
$\beta _{L},\ \beta _{U}\in (0,2)$
, if assertion (ii) holds, we can check that
$h_\infty <{2\pi }/{\sqrt {4-\beta _{L}^2}}$
and
$g_\infty>-{2\pi }/{\sqrt {4-\beta _U^2}}$
, which implies assertion (i).
(iii)
$\Rightarrow $
(ii) We use a proof by contradiction and assume that, for some small
$\varepsilon>0$
, there exists
$t_2>0$
large such that
$\lambda _\varepsilon :=\lambda _1(-g(t_2)-\varepsilon , h(t_2)-\varepsilon )<0$
. Let
$(\varphi _U, \varphi _L)$
be the corresponding positive eigenfunction pair with
$\max \{\|\varphi _U\|_{L^\infty },\ \|\varphi _L\|_{L^\infty }\}=1$
. Set
$$ \begin{align*} \begin{cases} u_U(t,x)=\delta\varphi_U(x) & \text{for } t\geq0,\ x\in[g(t_2)+\varepsilon,0], \\ u_L(t,x)=\delta\varphi_L(x) & \text{for } t\geq0,\ x\in[0,h(t_2)-\varepsilon], \end{cases} \end{align*} $$
where
$0<\delta <\min \{-\lambda _\varepsilon , \min _{x\in [0,h(t_2)-\varepsilon ]}w_L(t_2,x), \min _{x\in [g(t_2)+\varepsilon ,0]}w_U(t_2,x)\}$
. It follows from Lemma 2.1 that
$w_U(t+t_2,x) \geq u_U(t,x)$
for
$(t,x)\in [0,\infty )\times [0, h(t_2)-\varepsilon ]$
, which contradicts assertion (iii).
(ii)
$\Rightarrow $
(iii) As
$\beta _{L},\ \beta _{U}\in (0,2)$
, it follows from the proof of Lemma 3.1 and
$\lambda _1(-g_\infty , h_\infty )\geq 0$
that
$h_\infty $
and
$g_\infty $
are both bounded. This, together with [Reference Du and Lou7, Theorem 1.1], implies assertion (iii) and completes the proof.
We end this part with a sufficient condition for vanishing.
Lemma 3.3. Assume that
$\beta _U,\ \beta _L\in (0,2)$
and
$(w_U, w_L,g,h)$
is a solution of problem (
P
) with
$w_0\in \mathscr {X}(h_0)$
for some
$h_0>0$
. Let
$\hbar ^*$
be given in Lemma 3.1. If
$h_0<\hbar ^*$
and
$\|w_0\|_{L^{\infty }([-h_0,h_0])}$
is sufficiently small, then vanishing happens.
Proof. Choosing
$h_1\in (h_0, \hbar ^*)$
, it follows from Lemma 3.1 that (3.1) with
$l_1=l_2=h_1$
admits a positive principal eigenvalue, denoted by
$\lambda ^*$
, whose corresponding positive eigenfunction pair, denoted by
$(\varphi ^*_U, \varphi ^*_L)$
, can be normalised by
$\|\varphi ^*_U\|_{L^\infty }+\|\varphi ^*_L\|_{L^\infty }=1$
. There exists
$x^*\in (h_1/2, h_1)$
such that
Set
$ \delta \kern1.5pt{:=}\kern1.5pt\min \{{h_1}/{h_0}-1, \lambda _*, 1\} , \eta \kern1.5pt{: =}\kern1.5pt\max \{h_1-({\delta }/{2}) h_0,h_0,x^*\}, \varepsilon _0\kern1.5pt{:=}\kern1.5pt\min \{\varphi ^*_U(-\eta )$
,
$\varphi ^*_L(\eta ) \}. $
Then,
$\varepsilon _0 \leq 1$
and there is
$\varepsilon _1 = \varepsilon _1(\delta )>0$
such that
$ 2 \mu \varepsilon _1 [(\varphi ^*_U)'(-h_1)-(\varphi ^*_L)'(h_1)] < \delta ^2 h_0. $
Define
$$ \begin{align*} \begin{cases} v_U(t,x)=\varepsilon_0 \varepsilon_1 e^{-\delta t} \varphi^*_U(x) & \text{for } t\geq0,\ x\in[-h_1,0], \\ v_L(t,x)=\varepsilon_0 \varepsilon_1 e^{-\delta t} \varphi^*_L(x) & \text{for } t\geq0,\ x\in[0,h_1]. \end{cases} \end{align*} $$
If
$w_0$
is chosen to be sufficiently small such that
$w_0\leq \varepsilon _0 \varepsilon _1 \varphi ^*_U$
in
$[-h_0,0]$
, and
$w_0\leq \varepsilon _0 \varepsilon _1 \varphi ^*_L$
in
$[0,h_0]$
, it follows from the comparison principle that
$$ \begin{align*} \begin{cases} w_U(t,x)\leq v_U(t,x) & \text{for } t\in[0,\tau),\ x\in[g(t),0], \\ w_L(t,x) \leq v_L(t,x) & \text{for } t\in[0,\tau),\ x\in[0, h(t)], \end{cases} \end{align*} $$
where
$\tau :=\sup \{t>0 : h(t)<h_1,\ g(t)>-h_1\}$
. We prove that
$\tau =\infty $
. Once this is done, we see that
$(g_\infty , h_\infty )$
is bounded, and that
$\|w_U(t,\cdot )\|_{L^\infty ([g(t),0])}\to 0$
and
$\|w_L(t,\cdot )\|_{L^\infty ([0, h(t)])}\to 0$
as
$t\to \infty $
, so the vanishing conclusion is established.
In what follows, we prove
$\tau =\infty $
by contradiction. Assume that
$\tau <\infty $
. Without loss of generality, we may assume that
$h(\tau )=h_1$
. Motivated by [Reference Sun, Lou and Zhou14], define
for
$t \geq 0$
,
$x\in I_1(t):=[\eta +k(t)-h_1,k(t)]$
. We check that
$\eta +k(t)-h_1 \geq h_0$
and
$$ \begin{align*} \begin{cases} \partial_{t}\overline{w_L}-\partial_{xx}\overline{w_L}+\beta_{L}\partial_{x}\overline{w_L}-\overline{w_L}+\overline{w_L}^{2}\geq 0, & t \geq 0,\ x\in I_1(t),\\ k^{\prime}(t)=\dfrac{\delta^{2} h_{0}}{2} e^{-\delta t} \geq -\mu \varepsilon_{1} e^{-\delta t} (\varphi^*_L)'(h_1) =-\mu \partial_{x}\overline{w_L}(t, k(t)), & t>0. \end{cases} \end{align*} $$
We claim that
$k(t)\geq h(t)$
for
$t\in [0,\tau ]$
. As
$\eta \leq h_1$
, the desired conclusion is true when
$\eta +k(t)-h_1\geq h(t)$
. We consider the case where
$\{ 0\leq t\leq \tau : h(t)>\eta + k(t)-h_1\}\not = \emptyset $
consists of some intervals and
$[s_1, s_2]$
is one of them. By the choice of
$\eta $
, we see that
$s_1>0$
,
$h(s_1)=\eta + k(s_1)-h_1$
. As
$\eta + k(t)-h_1>h_0$
for
$t\geq 0$
,
Hence, by comparison,
$h(t)< k(t)$
in
$[s_1, s_2]$
. This proves our claim and shows that
which contradicts
$h(\tau )=h_1$
. Thus,
$\tau =\infty $
, which completes the proof.
3.3 Spreading phenomenon
We give some sufficient conditions for spreading.
Lemma 3.4. Assume
$\beta _U,\ \beta _L\in (0,2)$
and
$(w_U, w_L,g,h)$
is a solution of problem (
P
) for
$w_0\in \mathscr {X}(h_0)$
with
$h_0>0$
. Let
$\hbar ^*$
be given in Lemma 3.1. If
$h_0\geq \hbar ^*$
, spreading happens.
Proof. We first check that
$[-\hbar ^*,\hbar ^*]\subset [g(t),h(t)]$
for any
$t>0$
. By Lemma 3.2,
$-g_\infty =h_\infty =\infty $
and
$(w_U,w_L)\nrightarrow (0, 0)$
as
$t \to \infty $
locally uniformly in
$(-\infty ,0]\times [0,\infty )$
.
In what follows, we prove that
$(w_U,w_L)$
converges to
$(1, 1)$
locally uniformly as
$t \to \infty $
. Setting
$\bar {w}(t)=1+\|w_0\|_{L^\infty ([-h_0,h_0])}e^{-t}$
, we can check that
$$ \begin{align} \begin{cases} \limsup_{t\to\infty}\|w_U(t,\cdot)\|_{L^\infty([g(t),0])}\leq \lim_{t\to\infty}\bar{w}(t)=1,\\ \limsup_{t\to\infty}\|w_L(t,\cdot)\|_{L^\infty([0,h(t)])}\leq \lim_{t\to\infty}\bar{w}(t)=1. \end{cases} \end{align} $$
As
$h_0\geq \hbar ^*$
, there is
$\epsilon>0$
small such that
$[-\hbar ^*-\epsilon , \hbar ^*+\epsilon ]\subseteq (g(1)+\epsilon , h(1)-\epsilon )$
. It follows from Lemma 3.1 that (3.1) with
$l_1=l_2=\hbar ^*+\epsilon $
admits a negative principal eigenvalue, whose corresponding positive eigenfunction pair
$(\varphi ^\epsilon _U, \varphi ^\epsilon _L)$
, can be normalised by
$\|\varphi ^\epsilon _U\|_{L^\infty }+\|\varphi ^\epsilon _L\|_{L^\infty }=1$
. We can find
$\rho>0$
small such that
Let
$(\underline {w}_U, \underline {w}_L, \underline {g}, \underline {h})$
be the solution of (
P
) with initial function
$(\rho \varphi ^\epsilon _U, \rho \varphi ^\epsilon _L)$
. We can check directly that
$-\underline {g}_\infty =\underline {h}_\infty =\infty $
. By the standard parabolic comparison principle,
It follows from Lemma 2.1 that
$(\underline {w}_U, \underline {w}_L)$
is nondecreasing with respect to t. Define
$(\underline {w}_{U,\infty }(x), \underline {w}_{L,\infty }(x)):=(\lim _{t\to \infty }\underline {w}_U(t,x), \lim _{t\to \infty }\underline {w}_L(t,x))$
. Note that
$-\underline {g}_\infty =\underline {h}_\infty =\infty $
. By a similar argument to that in [Reference Du, Lou, Peng and Zhou8],
$(\underline {w}_{U,\infty }(x), \underline {w}_{L,\infty }(x))$
is a positive solution of
$$ \begin{align*} \begin{cases} -\partial_{xx}W_{U}+\beta_{U}\partial_{x}W_{U}-W_{U}+W_{U}^{2}=0, & -\infty<x<0,\\ -\partial_{xx}W_{L}+\beta_{L}\partial_{x}W_{L}-W_{L}+W_{L}^{2}=0, & 0<x<\infty,\\ W_{U}(0)=W_{L}(0), \ a_U\partial_{x}W_{U}(0)=a_L\partial_{x}W_{L}(0), \end{cases} \end{align*} $$
and satisfies
$0<\underline {w}_{U,\infty }\leq 1$
,
$0<\underline {w}_{L,\infty }\leq 1$
. Thanks to [Reference Du, Lou, Peng and Zhou8, Theorem 1.1], the above problem admits a unique positive solution pair
$(1,1)$
. Thus,
Moreover, from (3.6) and Lemma 2.1,
From these estimates and (3.7),
$$ \begin{align*} \begin{cases} \liminf_{t\to\infty}w_U(t,x)\geq 1 &\text{locally uniformly in } (-\infty,0],\\ \liminf_{t\to\infty}w_L(t,x)\geq 1 &\text{locally uniformly in } [0, +\infty). \end{cases} \end{align*} $$
From this, together with (3.5),
$(w_U,w_L)\to (1,1) \text { locally uniformly as } t\to \infty $
, which completes the proof of this lemma.
3.4 Proof of Theorem 1.2
By Lemmas 3.2–3.4, either
$g_\infty $
,
$h_\infty $
are both bounded and
$(w_U,w_L)\to (0,0)$
uniformly as
$t\to \infty $
, or
$h_\infty =-g_\infty =\infty $
and
$(w_U,w_L)\to (1,1)$
locally uniformly as
$t\to \infty $
, which implies a spreading–vanishing dichotomy result. In the following, we show the spreading threshold is sharp.
Set
If
$h_0\geq \hbar ^*$
, it follows from Lemma 3.4 that
$\sigma ^*=0$
. We now assume
$h_0<\hbar ^*$
. From Lemma 3.3, vanishing happens for all small
$\sigma>0$
, so
$\sigma ^*\in (0,+\infty ]$
. If
$\sigma ^*=\infty $
, the proof is done. Let us assume
$\sigma ^*\in (0,\infty )$
. The comparison principle shows that vanishing happens for
$\sigma \in [0,\sigma ^*)$
. If vanishing does not happen for
$\sigma =\sigma ^*$
, from the spreading–vanishing dichotomy result, spreading must happen for
$\sigma =\sigma ^*$
. Thus, there is
$t_0\gg 1$
such that
$h(t_0)-g(t_0)>2\hbar ^*+1$
. Due to the continuous dependence of the solution of (
P
) on its initial values, there exists
$\epsilon>0$
small such that the solution
$(w_U^\epsilon ,w_L^\epsilon , g^\epsilon , h^\epsilon )$
of problem (
P
) with
$w_0=(\sigma ^*-\epsilon )\phi $
satisfies
$h^\epsilon (t_0)-g^\epsilon (t_0)>2\hbar ^*$
. It follows from Lemma 3.4 that spreading happens for
$\sigma ^*-\epsilon $
, which contradicts the definition of
$\sigma ^*$
. Hence, vanishing happens for
$\sigma =\sigma ^*$
. From the spreading–vanishing dichotomy result and the comparison principle, spreading happens for
$\sigma>\sigma ^*$
. This completes the proof.
