Abstract
In this paper, we investigate the existence of nontrivial solutions for a class of fractional advection–dispersion systems. The approach is based on the variational method by introducing a suitable fractional derivative Sobolev space. We take two examples to demonstrate the main results.
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1 Introduction
Physical models containing fractional differential operators were extensively studied in recent years due to its capacity of simulating anomalous diffusion, i.e., diffusion which can not be accurately modeled by the usual advection–dispersion equation. A fractional advection–dispersion equation (ADE for short) is a generalization of the classical ADE in which the second-order derivative is replaced with a fractional-order derivative. Anomalous diffusion equations have been used in modeling turbulent flow [1,2,3], chaotic dynamics of classical conservative systems [4], and in contaminant transport of groundwater flow [5]. For more background information and applications on the fractional ADE, the reader is referred to [6,7,8,9,10].
Ervin and Loop [1] investigated the following fractional ADE:
where \({_0{\mathcal {D}}_t}^{ {-\beta }}\) and \({_t{\mathcal {D}}_T}^{ {-\beta }}\) are the left and right Riemann–Liouville fractional integral operators respectively, with \(0\le \beta <1\), \( p\in [0,1]\) is a constant describing the skewness of the transport process, b, c, F are functions satisfying some suitable conditions. A special case of the fractional ADE describes symmetric transitions, where \(p=\frac{1}{2}\) in (1.1). In this case,
Another equation for a N-dimensional fractional ADE was given by Fix and Roop [7], and the equation may be written as
where \(\phi (t,x)\) is the concentration of a solute at a point x in an arbitrary bounded connected set \(\Omega \in {\mathbb {R}}^n\) at time t, \(\mathbf{v }\) is the velocity of the fluid, k is the diffusion constant coefficient, \(\mathbf{v }\phi \) and \(-k\nabla \phi \) are the mass flux due to advection and dispersion respectively and f is a source term. The operator \(\nabla ^{-\beta }\) with \(0<\beta <1\) is a linear combination of the left and right Riemann–Liouville fractional integral operators, and its jth component is defined by
where \(p\in [0,1]\) describes the skewness of the transport process, \(_{-\infty }{\mathcal {D}}^{-\beta }_{x_j}\) and \({_{x_j}{\mathcal {D}}^{ -\beta }_{+\infty }}\) are the left and right Riemann–Liouville fractional integral operators, respectively. We take \(p=\frac{1}{2}\) in (1.3), and get a special case of the fractional ADE (1.3) which describes symmetric transitions. In this case, the fractional order gradient operator \(\nabla ^{-\beta }\) reduces to the following symmetric operator
Recently, many research results appeared for symmetric fractional ADE. By using the mountain pass theorem and Ekeland’s variational principle, Jiao and Zhou [11] established the existence of solution and nontrivial solution for the following symmetric fractional ADE, respectively,
where \({ _{0}{\mathcal {D}}_t}^{-\beta } \) and \({_t{\mathcal {D}}_T}^{-\beta }\) denote the left and right Riemann–Liouville fractional integrals of order \(\beta \) with \(0\le \beta <1\), respectively, \(\nabla F(t,x)\) is the gradient of F at \(x\in {\mathbb {R}}^n\). Teng et al. [12] proved the existence and multiplicity of solutions for a similar symmetric case for a class of nonsmooth fractional ADEs by using a variational method based on the nonsmooth critical point theory. Zhang et al. [13] studied the eigenvalue problem for the following symmetric fractional ADE:
where \(\lambda \) is a real nonnegative parameter. By using the three-critical-point theorem in [14, 15] respectively, several criteria for the existence of multiple nontrivial solutions for the eigenvalue problem (1.5) were established in [13]. For other research results about symmetric fractional ADE, we refer the reader to [16,17,18] for (1.4) and to [19,20,21,22,23] for the eigenvalue problem (1.5).
Motivated by the above works, in this paper, we will use the critical point theory to study the following symmetric fractional ADE system:
for \(1\le i\le n\), where \(n\ge 1\), \(T>0\), \(0\le \beta _i<1\) for \(1\le i\le n\), \({ _{0}{\mathcal {D}}_t}^{-\beta _i} \) and \({_t{\mathcal {D}}_T}^{-\beta _i}\) denote the left and right Riemann–Liouville fractional integrals of order \(\beta _i\), respectively, \(F: [0,T]\times {\mathbb {R}}^n\rightarrow {\mathbb {R}}\) is a given function. We will establish some conditions on F, which are easily to be verified, to guarantee the existence of a nontrivial solution for (1.6).
Obviously, if we take \(\beta _i=\beta \in [0,1)\) for \(1 \le i \le n\) in (1.6), then the fractional ADE (1.6) reduces to (1.4). If we take \(\beta _i=0\) for \(i=1,2,\ldots ,n\), then the fractional ADE (1.6) reduces to the classical second-order ADE of the following form
where \(F: [0,T]\times {\mathbb {R}}^n\rightarrow {\mathbb {R}}\) is a given function satisfying some assumptions, \(n\ge 1\), and \(\nabla F (t, u)\) is the gradient of F at \(u\in {\mathbb {R}}^n\). Many excellent results on the existence of solutions for (1.7) have been reported in [24, 25].
2 Preliminaries and the fractional derivative space
In this section, we firstly introduce some notations, definitions and preliminary results about fractional derivative which are to be used throughout this paper, then we define a suitable fractional derivative Sobolev space.
Various definitions for the fractional derivative have been introduced over the past years [26]. In this paper, we focus on the Caputo fractional derivative and we refer the reader to [26, 27] for details.
For convenience, we denote
Definition 2.1
(Left and right Riemann–Liouville fractional integrals [26]) Let g be a function defined on [a, b]. The left and right Riemann–Liouville fractional integrals of order \(\gamma >0\) for function g, denoted by \((_a D_t^{-\gamma }g)\) and \((_t D_b^{-\gamma }g)\) respectively, are defined by
and
provided that the right-hand sides are pointwise defined on [a, b], where \(\Gamma \) is the “Gamma Function” defined by \(\Gamma (\gamma )=\int _0^\infty t^{\gamma -1}e^{-t}\mathrm{d}t\), \(\gamma >0\).
Definition 2.2
(Left and right Caputo fractional derivatives [26]) Let g be a function defined on [a, b], \(\gamma \ge 0\) and \(n \in \mathbb {N}\). We denote the left and right Riemann–Liouville fractional derivatives of order \(\gamma \ge 0\) for function g by \((_a^c D_t^{\gamma }g)\) and \((_t^c{\mathcal {D}}_b^{\gamma }g)\) respectively.
-
(i)
If \(\gamma \in (n-1,n)\), then
$$\begin{aligned}&(_a^c{\mathcal {D}}_t^{\gamma }g)(t) \\&\quad =({{_a{\mathcal {D}}_t}}^{-(n-\gamma )}g^{(n)})(t) \\&\quad =\frac{1}{\Gamma (n-\gamma )} \left( \int _a^t{(t-s)^{n-\gamma -1}g^{(n)}(s)}\mathrm{d}s\right) ,~~ t\in [a,b] \end{aligned}$$and
$$\begin{aligned} (_t^c{\mathcal {D}}_b^{\gamma }g)(t)= & {} (-1)^n({{_t{\mathcal {D}}_b}}^{-(n-\gamma )}g^{(n)})(t) \\= & {} \frac{(-1)^n }{\Gamma (n-\gamma )}\left( \int _t^b{(s-t)^{n-\gamma -1}g^{(n)}(s)}\mathrm{d}s\right) ,~~ t\in [a,b]. \end{aligned}$$ -
(ii)
If \(\gamma =n\), then
$$\begin{aligned} (_a^c\mathcal {D}_t^{n}g)(t) =g^{(n)}(t) \quad \text {and} \quad (_t^c\mathcal {D}_b^{n}g)(t) =(-1)^{n}g^{(n)}(t), ~~ t\in [a,b]. \end{aligned}$$
Remark 2.1
According to Definition 2.2, if \(0< \gamma <1\), then
and
Property 2.1
[27] The left and right Riemann–Liouville fractional integral operators have the following property:
hold in all \( t\in [a,b]\) for \(f\in C([0,T],{\mathbb {R}})\).
Property 2.2
[27] Let \(0<\alpha \le 1\) and \(1\le p<\infty \). For any \(f\in L^p([0,T],{\mathbb {R}})\), we have
Property 2.3
[27] The left and right Riemann–Liouville fractional integral operators have the following property:
provided that \(f\in L^p[0,T],{\mathbb {R}})\), \(g\in L^q[0,T],{\mathbb {R}})\) and \(p\ge 1\), \(q\ge 1\), \(1/p+1/q\le 1+\gamma \) or \(p\ne 1\), \(q\ne 1\), \(1/p+q/1= 1+\gamma \).
In order to establish a variational structure for (1.6), we must construct an appropriate function space. By Property 2.2, when \(0<\alpha \le 1\), for any \(f\in C^\infty ([0,T],{\mathbb {R}})\), we have \(f\in L^p([0,T],{\mathbb {R}})\) and \((_0^c{\mathcal {D}}_t^{\alpha }f)\in L^p([0,T],{\mathbb {R}})\). Therefore, we now define the fractional derivative space \(E^{\alpha }\) as the closure of \({C^\infty _0([0,T],{\mathbb {R}})}\) with respect to the norm \(\Vert u\Vert ^{\alpha }=(\Vert u\Vert _{L^2}^2+\Vert _0^c{\mathcal {D}}_t^{\alpha }u\Vert _{L^2}^2 )^{1/2}\).
Property 2.4
[11] For \(0<\alpha \le 1\),
-
(i)
\(E^{\alpha }=\{u:[0,T]\rightarrow {\mathbb {R}}|u\in L^2([0,T],{\mathbb {R}}),({_{p}^c{\mathcal {D}}_t}^{\alpha }u)\in L^2([0,T],{\mathbb {R}}),u(0)=u(T)=0\}\);
-
(ii)
\(E^{\alpha }\) is compactly embedded in \(C([0,T],{{\mathbb {R}}})\) and is a reflexive and separable Banach space;
-
(iii)
\(\Vert u\Vert _{L^2}\le \frac{T^{\alpha }}{\Gamma (\alpha +1)}\Vert _0^c{\mathcal {D}}_t^{\alpha }u\Vert _{L^2},~~ u\in E^{\alpha }\);
-
(iv)
\(\Vert u\Vert _{\infty }\le \frac{\sqrt{2}T^{\alpha -1/2}}{\Gamma (\alpha )\sqrt{\alpha +1}}\Vert _0^c{\mathcal {D}}_t^{\alpha }u\Vert _{L^2},~~ u\in E^{\alpha }\).
Obviously, for \(u\in E^{\alpha }\), if we define \(\Vert u\Vert _{\alpha }=\Vert _0^c{\mathcal {D}}_t^{\alpha }u\Vert _{L^2} \), then by (iii) of Property 2.4, \(\Vert u\Vert ^{\alpha }\) and \(\Vert u\Vert _{\alpha }\) are two equivalent norms. Therefore, we will consider \(E^{\alpha }\) with respect to the norm \(\Vert u\Vert _{\alpha }\) for simplicity in the following.
Property 2.5
[11] if \(1/2<\alpha \le 1\), then for any \(u\in E^{\alpha }\), we have
Let \(E=E^{\alpha _1}\times E^{\alpha _2} \times \cdots \times E^{\alpha _n}\) endowed with norm \(\Vert u\Vert _E=\Vert (u_1,u_2,\ldots ,u_n)\Vert _E=(\Vert u_1\Vert _{\alpha _1}^2+\Vert u_2\Vert _{\alpha _2}^2+\cdots +\Vert u_n\Vert _{\alpha _n}^2)^{1/2}\). Then, E is a reflexive and separable Banach space and compactly embedded in \((C([0,T], {{\mathbb {R}}}))^n\).
Definition 2.3
\(u\in E\) is a solution of (1.6) on [0, T], if it satisfies (1.6); \(u\in E\) is a nontrivial solution of (1.6) on [0, T], if it is a solution satisfying \(\Vert u\Vert _E\ne 0\).
Definition 2.4
\(u=(u_1,u_2,\ldots ,u_n)\in E\) is a weak solution of (1.6) if we have
for every \(v=(v_1,v_2,\ldots ,v_n)\in E\).
In order to prove the equivalence between a weak solution and a solution of (1.6), we must rewrite (1.6). To do this, for each \(1\le i\le n,\) let \(\alpha _i=1-\frac{\beta _i}{2}\), then \(\alpha _i\in (\frac{1}{2},1]\). According to Property 2.1 and Definition 2.2, the fractional ADE (1.6) can be transformed equivalently to the following system:
for \(1\le i\le n.\)
Lemma 2.1
If \(u=(u_1,u_2,\ldots ,u_n)\in E\) is a weak solution of (1.6), then u must be a solution of (2.1).
Proof
Suppose \(u=(u_1,u_2,\ldots ,u_n)\in E\) is a weak solution of (1.6). Define
For any \(v=(v_1,v_2,\ldots ,v_n)\in E\), noting that \(v_i(T)=0\) for \(1\le i\le n\), we obtain
On the other hand, by Property 2.3, considering \(u_i\), \(v_i\)\(\in E^{\alpha _i}\), we have
and
From (2.2) to (2.4), considering u is a weak solution of (1.6), we have
Now, for any \(v_i\in E^{\alpha _i}(1\le i\le n)\), we substitute \(v=(0,\ldots ,v_i,\ldots ,0)\in E\) into (2.5) to obtain
for any \(i=1,2,\ldots ,n\). The theory of Fourier series and (2.6) imply that
where \(C_i\in {{\mathbb {R}}}\) is a constant. Hence, from \(u_i\in E^{\alpha _i}\) and the definition of \(w_i \), we have
for any \(i=1,2,\ldots ,n\), which means that \(u=(u_1(t),u_2(t),\ldots ,u_n(t))\in E\) is a solution of (2.1). \(\square \)
Lemma 2.2
Suppose \(s_i>0\) and \(c_i\ge 0\) are constants for \(1\le i\le n\) with \(\sum \nolimits _{i=1}^nc_i^2>n\). Then
where \(s_0=\max \nolimits _{1\le j \le n}s_j.\)
Proof
Without loss of generality, suppose \(c_1>1\), then \(c_1^{s_0}>1\). For any \(i\in \{1,2,\ldots ,n\}\), if \(c_i\ge 1\), then
if \(c_i< 1\), then
It follows from (2.7) and (2.8) that
and thus we have
\(\square \)
3 Existence of nontrivial solutions
We study the existence of nontrivial solutions for the fractional ADE (1.6) in this section. Our tool is a critical point theorem which was developed by Bonanno and D’Aguì [28].
Lemma 3.1
[28] Let X be a reflexive real Banach space, \(\varphi :X\rightarrow {{\mathbb {R}}}\) be a sequentially weakly lower semicontinuous functional, and \(\psi :X\rightarrow {{\mathbb {R}}}\) be a sequentially weakly upper semicontinuous functional such that \(\varphi -\psi \) is coercive. Assume that there exist a sequentially weakly continuous function \(I:X\rightarrow {{\mathbb {R}}}\) and \(r\in (\inf _X(\varphi +I), \sup _X(\psi +I))\) such that
Then the restriction of the function \(\varphi -\psi \) to \((\varphi +I)^{-1}(r,+\infty ) \) has a global minimum.
Theorem 3.1
Let \(n\ge 1\), \(T>0\), \(\frac{1}{2}\le \alpha _i<1\) for \(1\le i\le n\), \(F(\cdot ,u_1,u_2,\ldots ,u_n): [0,T]\times {{\mathbb {R}}}^n\rightarrow {{\mathbb {R}}}\) is measurable with respect to \(t\in [0,T]\) for every \((u_1,u_2,\ldots ,u_n) \in {{\mathbb {R}}}^n\), and \(F(t,\cdot ,\ldots ,\cdot )\) is continuously differentiable with respect to \((u_1,u_2,\ldots ,u_n) \in {{\mathbb {R}}}^n\) for a.e. \(t \in [0, T ]\). Assume that
-
(H1)
\(F(t,0,\ldots ,0)=0\) for any \(t\in [0,T]\);
-
(H2)
There exists \(\omega =(\omega _1,\omega _2,\ldots ,\omega _n)\in E\) such that
$$\begin{aligned} 0<\Vert \omega \Vert _E^2<2\min \limits _{1\le i\le n}|\cos \pi \alpha _i|\int _0^TF(t,\omega _1(t),\ldots ,\omega _n(t))\mathrm{d}t; \end{aligned}$$ -
(H3)
There exist \(c_i \in [0,|\cos (\pi \alpha _i)|\Gamma ^2(\alpha _i+1)/2T^{2\alpha _i})\), \(b_i(t)\in L^{2/(2-s_i)}([0,T],{{\mathbb {R}}})\) and \(s_i\in (0,2)\) for \(1\le i\le n\) and \(k(t)\in L^1([0,T],{{\mathbb {R}}}^+)\) such that
$$\begin{aligned}&F(t,u_1,u_2,\ldots ,u_n)\le \sum \limits _{i=1}^nc_i|u_i|^2+\sum \limits _{i=1}^nb_i(t)|u_i|^{s_i}+k(t), \\&\quad (t,u_1,u_2,\ldots ,u_n)\in [0,T]\times {{\mathbb {R}}}^n. \end{aligned}$$
Then (1.6) has at least one nontrivial solution \(u^*\in E\).
Proof
In order to apply Lemma 3.1 to the system (2.1), we introduce the functionals \(\varphi \), \(\psi \) and I for \(u\in E\) as follows:
Since E is compactly embedded in \((C([0,T],{{\mathbb {R}}}))^n\), it is well known that \(\varphi \) is a sequentially weakly lower semicontinuous function, \(\psi \) is a sequentially weakly upper semicontinuous function, and I is a sequentially weakly continuous function. Moreover, both \(\varphi \) and \(\psi \) are Gâteaux differentiable functions whose Gâteaux derivatives at the point \(u=(u_1,u_2,\ldots ,u_n)\in E\) are the functions \(\varphi '(u)\in E^*\) and \(\psi '(u)\in E^*\) respectively, given by
and
for every \(v=(v_1,v_2,\ldots ,v_n)\in E\).
Obviously, from (3.1), (3.2) and Definition 2.4, we get that a critical point \(u^*\in E\) of \(\varphi -\psi \) must be a weak solution of (1.6). In the following, we will apply Lemma 3.1 to prove the existence of a critical point for \(\varphi -\psi \).
For any \(u\in E\), from Property 2.5, (H3), the Hölder inequality and (iii) of Property 2.4, we get
where
From Lemma 2.2, when \(\sum \nolimits _{i=1}^n\Vert u_i\Vert _{\alpha _i}^2>n\), we have
where \(s_0=\max \nolimits _{1\le i \le n}s_i \in (0,2)\). Hence, when \(\sum \nolimits _{i=1}^n\Vert u_i\Vert _{\alpha _i}^2>n\), we substitute (3.4) into (3.3) to obtain
Thus, by \({\mathcal {M}}>0\) and \(s_0 \in (0,2)\), we have
which means \(\varphi (u)-\psi (u)\) is coercive.
Next, we will prove \(\rho (I,r)>1\) for some \(r\in (\inf _E(\varphi +I), \sup _E(\psi +I))\).
Firstly, by Property 2.5 and (H2), we have
and
From (H1), (3.5) and (3.6), we have
where \(c_0=\min \nolimits _{1\le i \le n}\frac{|\cos (\pi \alpha _i)|\Gamma ^2(\alpha _i)(\alpha _i+1)}{4T^{2\alpha _i-1}}\).
Secondly, from \((\varphi +I)(\omega )>0\), combining (3.7), we may choose a constant \(r_0\in {{\mathbb {R}}}\) satisfying
and
For \(x\in \{x {\big |}x\in E,(\varphi +I)(x)\le r_0\}\), by Property 2.5 and (iii) of Property 2.4, we have
By (3.10), we conclude
Then,
Therefore, by (3.8), (3.11) and (3.9), we get
So Lemma 3.1 guarantees that \(\varphi -\psi \) has a critical point \(u^*=(u_1^*,u_2^*,\ldots ,u_n^*) \in E\) such that \((\varphi +I)(u^*)>r_0\). By Property 2.5 and (iv) of Property 2.4, we get
which means that
and thus \(u^*\in E\) is a nontrivial solution of (1.6). \(\square \)
Now we deduce a particular but verifiable consequence of Theorem 3.1 where the test function \(\omega \) is specified. For convenience, put
for \(1\le i \le n\).
Corollary 3.1
Let F be as that defined in Theorem 3.1, and both (H1) and (H3) of Theorem 3.1 hold. Assume that
-
(H4)
There exist \(d_i>0\) for \(1\le i\le n\) such that
-
(i)
\(F(t,\xi _1,\ldots ,\xi _n)\ge 0\) for all \((t,\xi _1,\ldots ,\xi _n)\in ([0,\frac{T}{4})\bigcup [\frac{3T}{4},T])\times [0,d_1\Gamma (2-\alpha _1)]\times [0,d_2\Gamma (2-\alpha _2)]\times \cdots \times [0,d_n\Gamma (2-\alpha _n)]\);
-
(ii)
\( 2\min \nolimits _{1\le i\le n}|\cos \pi \alpha _i|\int _{T/4}^{3T/4}F(t,\Gamma (2-\alpha _1)d_1,\Gamma (2-\alpha _2)d_2,\ldots ,\Gamma (2-\alpha _n)d_n)>\sum \nolimits _{i=1}^n d_i^2{\mathcal {B}}(\alpha _i, T)\).
-
(i)
Then (1.6) has at least one nontrivial solution \(u^*\in E\).
Proof
We only need to show that (H2) of Theorem 3.1 are fulfilled by choosing \(\omega =(\omega _1(t),\omega _2(t),\ldots ,\omega _n(t))\) with
for \(1\le i \le n\).
We calculate directly that
for \(1\le i \le n\).
Obviously, \(\omega _i\in L^2([0,T],{\mathbb {R}})\) and \(({_{0}^c{\mathcal {D}}_t}^{\alpha }\omega _i)\in L^2([0,T],{\mathbb {R}})\) for \(1\le i \le n\). Noting \(\omega _i(0)=\omega _i(T)=0\) for \(1\le i \le n\), we conclude \(\omega _i\in E^{\alpha _i}\), and thus \(\omega =(\omega _1,\omega _2,\ldots ,\omega _n) \in E\).
Furthermore, we have
On the other hand, according to (3.13), we get \(0\le \omega _i(t)\le d_i\Gamma (2-\alpha _i)\,(i=1,2,\ldots ,n)\) for all \(t\in [0,T]\). Then condition (i) of (H4) ensures that
Condition (ii) of (H4) and (3.14) ensure that
which means that \(\omega \) satisfies (H2) of Theorem 3.1. \(\square \)
Remark 3.1
Other candidates for the test function \(\omega \) in (3.13) can take other forms. For example,
for \(1\le i \le n\).
In this case,
and
for \(1\le i \le n\).
Remark 3.2
If we take \(\beta _i=\beta \in [0,1)\) for \(1 \le i \le n\) in (1.6), then (1.6) reduces to (1.4). The result about (1.4) in [11, Theorem 5.1] is that (1.4) has at least one solution \(u^*\in E\) if
where \(\overline{a}\in [0,|\cos (\pi \alpha |\Gamma ^2(\alpha +1/2T^{2\alpha })\), \(s\in (0,2)\), \(\overline{b}\in L^{2/(2-s)}([0,T],{{\mathbb {R}}})\), and \(\overline{c}\in L^1([0,T],{{\mathbb {R}}})\).
The restriction on F in (3.16) is similar to the (H3) in Theorem 3.1. Obviously, comparing with the fact that (1.6) has a nontrivial solution \(u^*\in E\) satisfying
in our paper, it can not be ruled out that \(u^*\) is a zero solution for (1.4) in [11].
Example 3.1
Consider the following fractional advection-dispersion equations:
where \(F:[0,1]\times {{\mathbb {R}}}^2\rightarrow {{\mathbb {R}}}\) is the function defined by
Comparing (3.17) with (1.6), we have \(T=1\), \(n=2\), \(\beta _1=0.5\) and \(\beta _2=0.4\), which lead to \(\alpha _1=0.75\) and \(\alpha _2=0.8\) in (2.1).
Obviously, both (H1) and (H3) of Theorem 3.1 are satisfied since \(F(t,0,0)=0\) and
where \(c_1 =\frac{1}{4}\in [0,\frac{|\cos (\pi \alpha _1)|\Gamma ^2(\alpha _1+1)}{2})\approx [0,0.2986)\), \(c_2 =\frac{1}{4}\in [0,\frac{|\cos (\pi \alpha _2)|\Gamma ^2(\alpha _2+1)}{2})\approx [0,0.3509)\) and \(b_1(t)=b_2(t)= 2 |1-2t|\in L^2([0,1],{\mathbb {R}})\).
Next, we will show that (H2) of Theorem 3.1 is also satisfied.
We choose
then, one has \(\omega =(\omega _1,\omega _2)\in E=E_{0.75}\times E_{0.8}\). We then have
and thus we have \(\Vert \omega _1\Vert _{0.75}^2\approx 0.1181\) and \(\Vert \omega _2\Vert _{0.8}^2\approx 0.1424\). Hence
Moreover,
Hence, we conclude that (H2) of Theorem 3.1 is satisfied from (3.19) and (3.20).
Therefore, from Theorem 3.1, the fractional ADE (3.17) has a nontrivial solution \(u^*=(u_1^*,u_2^*)\in E_{0.75}\times E_{0.8}\).
Example 3.2
Consider the following fractional advection-dispersion equations:
where \(F:[0,1]\times {{\mathbb {R}}}^2\rightarrow {{\mathbb {R}}}\) is the function defined by
Comparing (3.21) with (1.6), we have \(T=1\), \(n=2\), \(\beta _1=0.6\) and \(\beta _2=0.8\), which lead to \(\alpha _1=0.7\) and \(\alpha _2=0.6\) in (2.1).
Obviously, both (H1) and (H3) of Theorem 3.1 are satisfied since \(F(t,0,0)=0\) and
where \(c_1 =\frac{1}{10}\in [0,\frac{|\cos (\pi \alpha _1)|\Gamma ^2(\alpha _1+1)}{2})\approx [0,0.2425)\), \(c_2 =\frac{1}{10}\in [0,\frac{|\cos (\pi \alpha _2)|\Gamma ^2(\alpha _2+1)}{2})\approx [0,0.1233)\) and \(b_1(t)=b_2(t)= 8(t-t^2)^{\frac{1}{2}}\in L^2([0,1],{\mathbb {R}})\).
Next, we will show that (H2) of Theorem 3.1 is also satisfied.
We choose
then, one has \(\omega =(\omega _1,\omega _2)\in E=E_{0.7}\times E_{0.6}\). We then have
and thus we have \(\Vert \omega _1\Vert _{0.7}^2\approx 0.0989\) and \(\Vert \omega _2\Vert _{0.6}^2\approx 0.0723\). Hence
Moreover,
Hence, we conclude that (H2) of Theorem 3.1 is satisfied from (3.23) and (3.24).
Therefore, from Theorem 3.1, the fractional ADE (3.21) has a nontrivial solution \(u^*=(u_1^*,u_2^*)\in E_{0.7}\times E_{0.6}\).
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Acknowledgements
Lishan Liu was supported financially by the National Natural Science Foundation of China (11371221). Dexiang Ma was supported financially by the Fundamental Research Funds for the Central Universities (2014MS62).
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Ma, D., Liu, L. & Wu, Y. Existence of nontrivial solutions for a system of fractional advection–dispersion equations. RACSAM 113, 1041–1057 (2019). https://doi.org/10.1007/s13398-018-0527-7
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DOI: https://doi.org/10.1007/s13398-018-0527-7
Keywords
- Fractional advection–dispersion equation
- Weak solution
- Critical point theory
- Anomalous diffusion
- Variational method