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Research article

DGA-5mC: A 5-methylcytosine site prediction model based on an improved DenseNet and bidirectional GRU method


  • The 5-methylcytosine (5mC) in the promoter region plays a significant role in biological processes and diseases. A few high-throughput sequencing technologies and traditional machine learning algorithms are often used by researchers to detect 5mC modification sites. However, high-throughput identification is laborious, time-consuming and expensive; moreover, the machine learning algorithms are not so advanced. Therefore, there is an urgent need to develop a more efficient computational approach to replace those traditional methods. Since deep learning algorithms are more popular and have powerful computational advantages, we constructed a novel prediction model, called DGA-5mC, to identify 5mC modification sites in promoter regions by using a deep learning algorithm based on an improved densely connected convolutional network (DenseNet) and the bidirectional GRU approach. Furthermore, we added a self-attention module to evaluate the importance of various 5mC features. The deep learning-based DGA-5mC model algorithm automatically handles large proportions of unbalanced data for both positive and negative samples, highlighting the model's reliability and superiority. So far as the authors are aware, this is the first time that the combination of an improved DenseNet and bidirectional GRU methods has been used to predict the 5mC modification sites in promoter regions. It can be seen that the DGA-5mC model, after using a combination of one-hot coding, nucleotide chemical property coding and nucleotide density coding, performed well in terms of sensitivity, specificity, accuracy, the Matthews correlation coefficient (MCC), area under the curve and Gmean in the independent test dataset: 90.19%, 92.74%, 92.54%, 64.64%, 96.43% and 91.46%, respectively. In addition, all datasets and source codes for the DGA-5mC model are freely accessible at https://github.com/lulukoss/DGA-5mC.

    Citation: Jianhua Jia, Lulu Qin, Rufeng Lei. DGA-5mC: A 5-methylcytosine site prediction model based on an improved DenseNet and bidirectional GRU method[J]. Mathematical Biosciences and Engineering, 2023, 20(6): 9759-9780. doi: 10.3934/mbe.2023428

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  • The 5-methylcytosine (5mC) in the promoter region plays a significant role in biological processes and diseases. A few high-throughput sequencing technologies and traditional machine learning algorithms are often used by researchers to detect 5mC modification sites. However, high-throughput identification is laborious, time-consuming and expensive; moreover, the machine learning algorithms are not so advanced. Therefore, there is an urgent need to develop a more efficient computational approach to replace those traditional methods. Since deep learning algorithms are more popular and have powerful computational advantages, we constructed a novel prediction model, called DGA-5mC, to identify 5mC modification sites in promoter regions by using a deep learning algorithm based on an improved densely connected convolutional network (DenseNet) and the bidirectional GRU approach. Furthermore, we added a self-attention module to evaluate the importance of various 5mC features. The deep learning-based DGA-5mC model algorithm automatically handles large proportions of unbalanced data for both positive and negative samples, highlighting the model's reliability and superiority. So far as the authors are aware, this is the first time that the combination of an improved DenseNet and bidirectional GRU methods has been used to predict the 5mC modification sites in promoter regions. It can be seen that the DGA-5mC model, after using a combination of one-hot coding, nucleotide chemical property coding and nucleotide density coding, performed well in terms of sensitivity, specificity, accuracy, the Matthews correlation coefficient (MCC), area under the curve and Gmean in the independent test dataset: 90.19%, 92.74%, 92.54%, 64.64%, 96.43% and 91.46%, respectively. In addition, all datasets and source codes for the DGA-5mC model are freely accessible at https://github.com/lulukoss/DGA-5mC.



    Widespread applications of fractional calculus significantly contributed to the popularity of the subject. Fractional order operators are nonlocal in nature and give rise to more realistice and informative mathematical modeling of many real world phenomena, in contrast to their integer-order counterparts, for instance, see [13,21,31].

    Nonlinear fractional order boundary value problems appear in a variety of fields such as applied mathematics, physical sciences, engineering, control theory, etc. Several aspects of these problems, such as existence, uniqueness and stability, have been explored in recent studies [5,6,7,14,22,24,26,28,32].

    Coupled nonlinear fractional differential equations find their applications in various applied and technical problems such as disease models [8,10,29], ecological models [18], synchronization of chaotic systems [11,33], nonlocal thermoelasticity [30], etc. Hybrid fractional differential equations also received significant attention in the recent years, for example, see [2,3,9,15,16,17,19,20,23].

    The concept of slits-strips conditions introduced by Ahmad et al. in [1] is a new idea and has useful applications in imaging via strip-detectors [25] and acoustics [27].

    In [1], the authors investigated the following strips-slit problem:

    cDpx(t)=f1(t,x(t)), n1<pn, t[0,1]x(0)=0, x(0)=0, x(0)=0,.... x(n2)(0)=0,x(ξ)=a1η0x(s)ds+a21ξ1x(s)ds, 0<η<ξ<ξ1<1,

    where cDp denotes the Caputo fractional derivative of order p,f1 is a given continuous function and a1,a2R.

    In 2017, Ahmad et al. [4] studied a coupled system of nonlinear fractional differential equations

    cDαx(t)=f1(t,x(t),y(t)), t[0,1], 1<α2,cDβy(t)=f2(t,x(t),y(t)), t[0,1], 1<β2,

    supplemented with the coupled and uncoupled boundary conditions of the form:

    x(0)=0, x(a1)=d1η0y(s)ds+d21ξ1y(s)ds, 0<η<a1<ξ1<1,y(0)=0, y(a1)=d1η0x(s)ds+d21ξ1x(s)ds, 0<η<a1<ξ1<1,

    and

    x(0)=0, x(a1)=d1η0x(s)ds+d21ξ1x(s)ds, 0<η<a1<ξ1<1,y(0)=0, y(a1)=d1η0y(s)ds+d21ξ1y(s)ds, 0<η<a1<ξ1<1,

    where cDα and cDβ denote the Caputo fractional derivatives of orders α and β respectively, f1,f2:[0,1]×R×RR are given continuous functions and d1,d2 are real constants.

    In this article, motivated by aforementioned works, we introduce and study the following hybrid nonlinear fractional differential equations:

    cDγ[u(t)h1(t,u(t),v(t))]=θ1(t,u(t),v(t)), t[0,1], 1<γ2,cDδ[v(t)h2(t,u(t),v(t))]=θ2(t,u(t),v(t)), t[0,1], 1<δ2, (1.1)

    equipped with coupled slit-strips-type integral boundary conditions:

    u(0)=0, u(η)=ω1ξ10v(s)ds+ω21ξ2v(s)ds, 0<ξ1<η<ξ2<1,v(0)=0, v(η)=ω1ξ10u(s)ds+ω21ξ2u(s)ds, 0<ξ1<η<ξ2<1, (1.2)

    where cDγ, cDδ denote the Caputo fractional derivatives of orders γ and δ respectively, θi,hi:[0,1]×R×RR are given continuous functions with hi(0,u(0),v(0))=0,i=1,2 and ω1,ω2 are real constants.

    We arrange the rest of the paper as follows. In section 2, we present some definitions and obtain an auxiliary result, while section 3 contains the main results for the problems (1.1) and (1.2). Section 4 is devoted to the illustrative examples for the derived results.

    Let us first recall some related definitions [21].

    Definition 2.1. For a locally integrable real-valued function g1:[a,)R, we define the Riemann-Liouville fractional integral of order σ>0 as

    Iσg1(t)=1Γ(σ)t0g1(τ)(tτ)1σdτ, σ>0,

    where Γ is the Euler's gamma function.

    Definition 2.2. The Caputo derivative of order σ for an n-times continuously differentiable function g1:[0,)R is defined by

    cDσg1(t)=1Γ(nσ)t0(tτ)nσ1g(n)1(τ)dτ, n1<σ<n, n=[σ]+1

    where [σ] is the integer part of a real number.

    Lemma 2.1. For χi,ΦiC([0,1],R) with χi(0)=0,i=1,2, the following linear system of equations:

    cDγ[u(t)χ1(t)]=Φ1(t), t[0,1], 1<γ2,cDδ[v(t)χ2(t)]=Φ2(t), t[0,1], 1<δ2, (2.1)

    equipped with coupled slit-strips-type integral boundary conditions (1.2), is equivalent to the integral equations:

    u(t)=tη2Δ2[η{ω1ξ10(s0(sτ)δ1Γ(δ)Φ2(τ)dτ+χ2(s))ds+ω21ξ2(s0(sτ)δ1Γ(δ)Φ2(τ)dτ+χ2(s))dsη0(ηs)γ1Γ(γ)Φ1(s)dsχ1(η)}+Δ{ω1ξ10(s0(sτ)γ1Γ(γ)Φ1(τ)dτ+χ1(s))ds+ω21ξ2(s0(sτ)γ1Γ(γ)Φ1(τ)dτ+χ1(s))dsη0(ηs)δ1Γ(δ)Φ2(s)dsχ2(η)}]+t0(ts)γ1Γ(γ)Φ1(s)ds+χ1(t), (2.2)
    v(t)=tη2Δ2[Δ{ω1ξ10(s0(sτ)δ1Γ(δ)Φ2(τ)dτ+χ1(s))ds+ω21ξ2(s0(sτ)δ1Γ(δ)Φ2(τ)dτ+χ1(s))dsη0(ητ)γ1Γ(γ)Φ1(s)dsχ2(η)}+η{ω1ξ10(s0(sτ)γ1Γ(γ)Φ1(τ)dτ+χ2(s))ds+ω21ξ2(s0(sτ)γ1Γ(γ)Φ1(τ)dτ+χ2(s))dsη0(ηs)δ1Γ(δ)Φ2(s)dsχ2(η)}]+t0(ts)δ1Γ(δ)Φ2(s)ds+χ2(t), (2.3)

    where it is assumed that

    Δ=12(ω1ξ21+ω2(1ξ22))0. (2.4)

    Proof. Solving the fractional differential equations in (2.1), we get

    u(t)=c0+c1t+t0(ts)γ1Γ(γ)Φ1(s)ds+χ1(t) (2.5)

    and

    v(t)=c2+c3t+t0(ts)δ1Γ(δ)Φ2(s)ds+χ2(t), (2.6)

    where c0,c1,c2,c3 R are arbitrary constants.

    Using the conditions u(0)=0 and v(0)=0 in (2.5) and (2.6), we find that c0=0 and c2=0. Thus (2.5) and (2.6) become

    u(t)=c1t+t0(ts)γ1Γ(γ)Φ1(s)ds+χ1(t), (2.7)
    v(t)=c3t+t0(ts)δ1Γ(δ)Φ2(s)ds+χ2(t), (2.8)

    Making use of the coupled slit-strips-type integral boundary conditions given by (1.2) in (2.7) and (2.8) together with the notation (2.4), we obtain a system of equations:

    ω1ξ10(s0(sτ)δ1Γ(δ)Φ2(τ)dτ+χ2(s))ds+ω21ξ2(s0(sτ)δ1Γ(δ)Φ2(τ)dτ+χ2(s))dsη0(ηs)γ1Γ(γ)Φ1(s)dsχ1(η))=c1ηΔc3, (2.9)
    ω1ξ10(s0(sτ)γ1Γ(γ)Φ1(τ)dτ+χ1(s))ds+ω21ξ2(s0(sτ)γ1Γ(γ)Φ1(τ)dτ+χ1(s))dsη0(ηs)δ1Γ(δ)Φ2(s)dsχ2(η)=c3ηΔc1. (2.10)

    Solving the systems (2.9)–(2.10) for c1 and c3, we find that

    c1=tη2Δ2[η{ω1ξ10(s0(sτ)δ1Γ(δ)Φ2(τ)dτ+χ2(s))ds+ω21ξ2(s0(sτ)δ1Γ(δ)Φ2(τ)dτ+χ2(s))dsη0(ηs)γ1Γ(γ)Φ1(s)dsχ1(η)}+Δ{ω1ξ10(s0(sτ)γ1Γ(γ)Φ1(τ)dτ+χ1(s))ds+ω21ξ2(s0(sτ)γ1Γ(γ)Φ1(τ)dτ+χ1(s))dsη0(ηs)δ1Γ(δ)Φ2(s)dsχ2(η)}]

    and

    c3=tη2Δ2[Δ{ω1ξ10(s0(sτ)δ1Γ(δ)Φ2(τ)dτ+χ1(s))ds+ω21ξ2(s0(sτ)δ1Γ(δ)Φ2(τ)dτ+χ1(s))dsη0(ηs)γ1Γ(γ)Φ1(s)dsχ2(η)}+η{ω1ξ10(s0(sτ)γ1Γ(γ)Φ1(τ)dτ+χ2(s))ds+ω21ξ2(s0(sτ)γ1Γ(γ)Φ1(τ)dτ+χ2(s))dsη0(ηs)δ1Γ(δ)Φ2(s)dsχ1(η)}]

    Inserting the values of c1 and c3 in (2.7) and (2.8) leads to the integral equations (2.2) and (2.3). By direct computation, one can obtain the converse of the lemma. The proof is finished.

    Let W={˜w(t):˜w(t)C([0,1])} be a Banach space equipped with the norm ˜w=max{|˜w(t)|,t[0,1]}, Then the product space (W×W,(u,v)) endowed with the norm (u,v)=u+v, (u,v)W×W is also a Banach space.

    We need the following assumptions to derive the main results.

    (A1) Let θ1,θ2:[0,1]×R2R be continuous and bounded functions and there exists constants mi,ni such that, for all t[0,1] and xi,yiR,i=1,2,

    |θ1(t,x1,x2)θ1(t,y1,y2)|m1|x1y1|+m2|x2y2|,|θ2(t,x1,x2)θ2(t,y1,y2)|n1|x1y1|+n2|x2y2|.

    (A2) For continuous and bounded functions hi, i = 1, 2, there exist real constants μi,βi,σi>0 such that, for all xi,yiR, |hi(t,x,y)|μi for all (t,x,y)[0,1]×R×R and

    |h1(t,x1,x2)h1(t,y1,y2)|β1|x1y1|+β2|x2y2|,|h2(t,x1,x2)h2(t,y1,y2)|σ1|x1y1|+σ2|x2y2|.

    (A3) supt[0,1]θ1(t,0,0)=N1<  andsupt[0,1]θ2(t,0,0)=N2<.

    (A4) For the sake of computational convenience, we set

    M1=1Γ(γ+1)+1|η2Δ2|[ηγ+1Γ(γ+1)+|Δ||ω1|ξγ+11Γ(γ+2)+Δ|ω2|1ξγ+12Γ(γ+2)],M2=1|η2Δ2|[η|ω1|ξδ+11Γ(δ+2)+η|ω2|1ξδ+12Γ(δ+2)+|Δ|ηδΓ(δ+1)],M3=1|η2Δ2|[η|ω1|ξγ+11Γ(γ+2)+η|ω2|1ξγ+12Γ(γ+2)+|Δ|ηγΓ(γ+1)],M4=1Γ(δ+1)+1|η2Δ2|[ηδ+1Γ(δ+1)+|Δ||ω1|ξδ+11Γ(δ+2)+Δ|ω2|1ξδ+12Γ(δ+2)],N3=η|η2Δ2|[|ω1|ξ1μ2+|ω2|μ2(1ξ2)+μ1]+|Δ|[|ω1|μ1ξ1+μ1|ω2|(1ξ2)+μ2]+μ1,N4=1|η2Δ2|[|Δ||ω1|μ1ξ1+|ω2|(1ξ2)μ1+μ2]+|η|[|ω1|μ2ξ1+|ω2|(1ξ2)μ2+μ1]+μ2,N5=1|η2Δ2|[η|ω1|ξ1+|ω2|η(1ξ2)+|Δ|],N6=1|η2Δ2|[|Δ|ξ1|ω1|+|Δ||ω2|(1ξ2)+η]+1,N7=1|η2Δ2|[|Δ|+|η||ω1|ξ1+|η||ω2|(1ξ2)+|ω2|+|Δ|],

    and

    Mk=min{1(M1+M3)k1(M2+M4)λ1,1(M1+M3)k2(M2+M4)λ2},ki,λi0, i=1,2. (3.1)

    (A5) (M1+M3)(m1+m2)+(M2+M4)(n1+n2)+(N5+N6)(σ1+σ2)+(N7+N8)(β1+β2)<1.

    In view of Lemma 1, we define an operator T:W×WW×W associated with the problems (1.1) and (1.2) as follows:

    T(u,v)(t)=(T1(u,v)(t)T2(u,v)(t)), (3.2)

    where

    T1(u,v)(t)=tη2Δ2[η{ω1ξ10(s0(sτ)δ1Γ(δ)θ2(τ,u(τ),v(τ))dτ+h2(s,u(s),v(s))ds+ω21ξ2(s0(sτ)δ1Γ(δ)θ2(τ,u(τ),v(τ))dτ+h2(s,u(s),v(s))dsη0(ηs)γ1Γ(γ)θ1(s,u(s),v(s))dsh1(η,u(η),v(η))}+Δ{ω1ξ10(s0(sτ)γ1Γ(γ)θ1(τ,u(τ),v(τ))dτ+h1(s,u(s),v(s))ds+ω21ξ2(s0(sτ)γ1Γ(γ)θ1(τ,u(τ),v(τ))dτ+h1(s,u(s),v(s))dsη0(ηs)δ1Γ(δ)θ2(s,u(s),v(s))dsh2(η,u(η),v(η))}]+t0(ts)γ1Γ(γ)θ1(s,u(s),v(s))ds+h1(t,u(t),v(t))

    and

    T2(u,v)(t)=tη2Δ2[Δ{ω1ξ10(s0(sτ)δ1Γ(δ)θ2(τ,u(τ),v(τ))dτ+h1(s,u(s),v(s))ds+ω21ξ2(s0(sτ)δ1Γ(δ)θ2(τ,u(τ),v(τ))dτ+h1(s,u(s),v(s))dsη0(ητ)γ1Γ(γ)θ1(s,u(s),v(s))dsh2(η,u(η),v(η))}+η{ω1ξ10(s0(sτ)γ1Γ(γ)θ1(τ,u(τ),v(τ))dτ+h2(s,u(s),v(s))ds+ω21ξ2(s0(sτ)γ1Γ(γ)θ1(τ,u(τ),v(τ))dτ+h2(s,u(s),v(s))dsη0(ηs)δ1Γ(δ)θ2(s,u(s),v(s))dsh1(η,u(η),v(η))}]+t0(ts)γ1Γ(γ)θ2(s,u(s),v(s))ds+h2(t,u(t),v(t)).

    Theorem 3.1. Assume that conditions (A1) to (A5) are satisfied. Then there exists a unique solution for the problems (1.1) and (1.2) on [0,1].

    Proof. In the first step, we establish that TˉBrˉBr, where ˉBr={(u,v)W×W:(u,v)r} is a closed ball with

    r(M1+M3)N1+(M2+M4)N2+N3μ1[(M1+M3)(m1+m2)+(M2+M4)(n1+n2)+N3(β1+β2)],

    and the operator T:W×WW×W is defined by (3.2). For (u,v)ˉBr and t[0,1], it follows by (A1) that

    |θ1(t,u(t),v(t))||θ1(t,u(t),v(t))θ1(t,0,0)|m1||u||+m2||v||.

    Similarly one can find that |θ2(t,u(t),v(t))|n1||u||+n2||v||. Then we have

    |T1(u,v)(t)|maxt[0,1][t|η2Δ2|[η{|ω1|ξ10(s0(sτ)δ1Γ(δ)|θ2(τ,u(τ),v(τ))|dτ+|h2(s,u(s),v(s)|)ds+|ω2|1ξ2(s0(sτ)δ1Γ(δ)|θ2(τ,u(τ),v(τ))|dτ+|h2(s,u(s),v(s)|)ds+η0(ηs)γ1Γ(γ)|θ1(s,u(s),v(s))|ds+|h1(η,u(η),v(η))|}+|Δ|{|ω1|ξ10(s0(sτ)γ1Γ(γ)|θ1(τ,u(τ),v(τ))|dτ+|h1(s,u(s),v(s)|)ds+|ω2|1ξ2(s0(sτ)γ1Γ(γ)|θ1(τ,u(τ),v(τ))|dτ+|h1(s,u(s),v(s)|)ds+η0(ηs)δ1Γ(δ)|θ2(s,u(s),v(s))|ds+|h2(η,u(η),v(η))|}]+t0(ts)γ1Γ(γ)|θ1(s,u(s),v(s))|ds+|h1(t,u(t),v(t))|]1|η2Δ2|[η{|ω1|ξ10(s0(sτ)δ1Γ(δ)(n1||u||+n2||v||+N2)dτ+μ2)ds+|ω2|1ξ2(s0(sτ)δ1Γ(δ)|(n1||u||+n2||v||+N2)dτ+μ2)ds+η0(ηs)γ1Γ(γ)(m1||u||+m2||v||+N1)dτ+μ1}+|Δ|{|ω1|ξ10(s0(sτ)γ1Γ(γ)(m1||u||+m2||v||+N1)dτ+μ1)ds+|ω2|1ξ2(s0(sτ)γ1Γ(γ)(m1||u||+m2||v||+N1)dτ+μ1)ds+η0(ηs)δ1Γ(δ)(n1||u||+n2||v||+N2)ds+μ2}]+t0(ts)γ1Γ(γ)(m1||u||+m2||v||+N1)ds+μ1le1|η2Δ2|[η|ω1|ξδ+11Γ(δ+2)+η|ω2|1ξδ+12Γ(δ+2)+|Δ|ηδΓ(δ+1)](n1||u||+n2||v||+N2)+[1|η2Δ2|(ηγ+1Γ(γ+1)+|Δ||ω1|ξγ+11Γ(γ+2)+|Δ||ω2|1ξγ+12Γ(γ+2))+1Γ(γ+1)](m1||u||+m2||v||+N1)+η|η2Δ2|(|ω1|μ2ξ1+|ω2|μ2(1ξ2)+μ1)+|Δ|(|ω1|μ1ξ1+|ω2|μ1(1ξ2)+μ2)+μ1(M2n1+M1m1+M2n2+M1m2)r+M2N2+M1N1+N3.

    Analogously, one can find that

    |T2(u,v)(t)|(M4n1+M3m1+M4n2+M3m2)r+M4N2+M3N1+N4.

    From the foregoing estimates for T1 and T2, we obtain ||T(u,v)(t)||r.

    Next, for (u1,v1),(u2,v2)W×W and t[0,1], we get

    |T1(u2,v2)(t)T1(u1,v1)(t)|1|η2Δ2|[η{|ω1|(ξ10(s0(sτ)δ1Γ(δ)|θ2(τ,u2(τ),v2(τ))θ2(τ,u1(τ),v1(τ))|)dτ+|h2(s,u2(s),v2(s))h2(s,u1(s),v1(s))|ds)+|ω2|(1ξ2(s0(sτ)δ1Γ(δ)|θ2(τ,u2(τ),v2(τ))θ2(τ,u1(τ),v1(τ))|)dτ+|h2(s,u2(s),v2(s))h2(s,u1(s),v1(s))|ds)+η0(ηs)γ1Γ(γ)|θ1(τ,u2(τ),v2(τ))θ1(τ,u1(τ),v1(τ))|ds+|h1(η,u2(η),v2(η))h1(η,u1(η),v1(η))|}
    +|Δ|{|ω1|(ξ10(s0(sτ)γ1Γ(γ)|θ1(τ,u2(τ),v2(τ))θ1(τ,u1(τ),v1(τ))|)dτ+|h1(s,u2(s),v2(s))h1(s,u1(s),v1(s))|ds)+|ω2|(1ξ2(s0(sτ)γ1Γ(γ)|θ1(τ,u2(τ),v2(τ))θ1(τ,u1(τ),v1(τ))|)dτ+|h1(s,u2(s),v2(s))h1(s,u1(s),v1(s))|ds)+η0(ηs)δ1Γ(δ)|θ1(τ,u2(τ),v2(τ))θ1(τ,u2(τ),v2(τ)|ds+|h2(η,u2(η),v2(η))h2(η,u1(η),v1(η))|ds}]+t0(ts)γ1Γ(γ)(|θ1(s,u2(s),v2(s))θ1(s,u1(s),v1(s))|)ds+|h1(t,u2(t),v2(t))h1(t,u1(t),v1(t))|1|η2Δ2|[η|ω1|ξδ+11Γ(δ+2)+η|ω2|1ηδ+1Γ(δ+2)+|Δ|ηδΓ(δ+1)]×(n1||u2u1||+n2||v2v1||)+(1|η2Δ2|[ηγ+1Γ(γ+1)+|Δ||ω1|ξγ+11Γ(γ+2)+|Δ||ω2|1ξγ+12Γ(γ+2)]+1Γ(γ+1))×(m1||u2u1||+m2||v2v1||)+1|η2Δ2|[(η|ω1|ξ1+η|ω2|(1ξ2)+|Δ|)(σ1||u2u1||+σ2||v2v1||)+(η+|Δ||ω1|ξ1+|Δ||ω2|(1ξ2)+1)(β1||u2u1||+β2||v2v1||)]leM2(n1||u2u1||+n2||v2v1||)+M1(m1||u2u1||+m2||v2v1||) +N5(σ1||u2u1||+σ2||v2v1||)+N6(β1||u2u1||+β2||v2v1||)=(M2n1+M1m1+N5σ1+N6β1)||u2u1||+(M2n2+M1m2+N5σ2)||v2v1||)

    which implies that

    T1(u2,v2)(t)T1(u1,v1)(t)le(M2n1+M1m1+N5σ1+N6β1+M2n2+M1m2+N5σ2+N6β2)(||u2u1||+||v2v1||). (3.3)

    Likewise, we have

    T2(u2,v2)(t)T2(u1,v1)(t)le(M4n1+M3m1+N6σ1+N7β1+M4n2+M3m2+N6σ2+N7β2)(||u2u1||+||v2v1||). (3.4)

    From (3.3) and (3.4), we deduce that

    T(u2,v2)(t)T(u1,v1)(t)[(M1+M3)(m1+m2)+(M2+M4)(n1+n2)+(N7+N8)(β1+β2)+(N5+N6)(σ1+σ2)]×(||u2u1||+||v2v1||),

    which shows that T is a contraction by the assumption (A5) and hence it has a unique fixed point by Banach fixed point theorem. This leads to the conclusion that there exists a unique solution for the problems (1.1) and (1.2) on [0,1]. The proof is complete.

    Now, we discuss the existence of solutions for the problems (1.1) and (1.2) by means of Leray-Schauder alternative ([12], p. 4).

    Theorem 3.2. Assume that there exists real constants ˜k0>0, ˜λ0>0 and ˜ki,˜λi0, i=1,2 such that, for any uiR, i=1,2

    |θ1(t,u1,u2)|˜k0+˜k1|u1|+˜k2|u2|,|θ2(t,u1,u2)|˜λ0+˜λ1|u1|+˜λ2|u2|.

    In addition,

    (M1+M3)˜k1+(M2+M4)˜λ1<1,(M1+M3)˜k2+(M2+M4)˜λ2<1,

    where Mi, i=1,2,3,4 are given in (A4). Then the problems (1.1) and (1.2) have at least one solution on [0,1].

    Proof. The proof consists of two steps. First we show that the operator T:W×WW×W defined by (3.2) is completely continuous. Observe that continuity of the operator T follows from that of θ1 and θ2. Consider a bounded set ΩW×W so that we can find positive constants l1 and l2 such that |θ1(t,u(t),v(t))|l1 and |θ2(t,u(t),v(t))|l2 for every (u,v)Ω. Hence, for any (u,v)Ω, we find that

    |T1(u,v)(t)|1|η2Δ2|[η|ω1|ξδ+11Γ(δ+2)+η|ω2|1ξδ+12Γ(δ+2)+|Δ|ηδΓ(δ+1)]l2+{1|η2Δ2|[ηγΓ(γ+1)+|Δ||ω1|ξγ+11Γ(γ+2)+|Δ||ω2|1ξγ+12Γ(γ+2)+1Γ(γ+1)]}l1+1|η2Δ2|{η[|ω1|ξ1μ2+|ω2|μ2(1ξ2)+μ1]+ημ1+|Δ|[μ1ξ1|ω1|+μ1|ω2|(1ξ2)+μ2]}+μ1=M2l2+M1l1+N3.

    Thus we deduce that T1(u,v)M2l2+M1l1+N3. In a similar fashion, it can be found that T2(u,v)M4l2+M3l1+N4. Hence, it follows from the foregoing inequalities that T1 and T2 are uniformly bounded and hence the operator T is uniformly bounded. In order to show that T is equicontinuous, we take 0<r1<r2<1. Then, for any (u,v)Ω, we obtain

    |T1(u(r2),v(r2))T1(u(r1),v(r1))|l1Γ(γ)r10[(r2s)γ1(r1s)γ1]ds+l1Γ(γ)r2r1(r2s)γ1ds+r2r1|η2Δ2|{[η|ω1|ξδ+11Γ(δ+2)+η|ω2|1ξδ+12Γ(δ+2)+|Δ|ηδΓ(δ+1)]l2+[ηγ+1Γ(γ+1)+|Δ||ω1|ξγ+11Γ(γ+2)+|Δ||ω2|1ξγ+12Γ(γ+2)+1Γ(γ+2)]l1+N3},
    |T2(u(r2),v(r2))T2(u(r1),v(r1))|l2Γ(δ)r10[(r2s)δ1(r1s)δ1]ds+l2Γ(δ)r2r1(r2s)δ1ds  +r2r1|η2Δ2|{[η|ω1|ξδ+11Γ(δ+2)+η|ω2|1ξδ+12Γ(δ+2)+η˙.ηδ+1Γ(δ+1)]l2+[|Δ|ηγΓ(γ+1)+η|ω1|ξγ+11Γ(γ+2)+η|ω2|1ξγ+12Γ(γ+2)]l1+N4},

    which imply that the operator T(u,v) is equicontinuous. In view of the foregoing arguments, we deduce that operator T(u,v) is completely continuous.

    Next, we consider a set P={(u,v)W×W:(u,v)=λT(u,v), 0λ1} and show that it is bounded. Let us take (u,v)P and t[0,1]. Then it follows from u(t)=λT1(u,v)(t) and v(t)=λT2(u,v)(t), together with the given assumptions that

    uM1(˜k0+˜k1||u||+˜k2||v||)+M2(˜λ0+˜λ1||u||+˜λ2||v||)+N3,|vM3(˜k0+˜k1||u||+˜k2||v||)+M4(˜λ0+˜λ1||u||+˜λ2||v||)+N4,

    which lead to

    u+v[(M1+M3)˜k0+(M2+M4)˜λ0+N3+N4]+[(M1+M3)˜k1+(M2+M4)˜λ1]u+[(M1+M3)˜k2+(M2+M4)˜λ2]v.

    Thus

    (u,v)(M1+M3)˜k0+(M2+M4)˜λ0+N3+N4Mk,

    where Mk is defined by (3.1). Consequently the set P is bounded. Hence, it follows by Leray-Schauder alternative ([12], p. 4) that the operator T has at least one fixed point. Therefore, the problems (1.1) and (1.2) have at least one solution on [0,1]. This finishes the proof.

    Example 4.1. Consider a coupled boundary value problem of fractional differential equations with slit-strips-type conditions given by

    cD3/2(u(t)sint|u(t)|2(2+|u(t)|))=156u(t)+27v(t)1+v(t)+57,cD5/4(v(t)sint|v(t)|2(2+|v(t)|))=139|cosu(t)|1+|cosu(t)|+128sinv(t)+37, (4.1)
    u(0)=0, u(12)=1/50v(s)ds+14/5v(s)ds,v(0)=0, v(12)=1/50u(s)ds+14/5u(s)ds. (4.2)

    Here γ=32, δ=54, ω1=1, ω2=1, η=12, ξ1=15, ξ2=45. From the given data, we find that Δ=0.11, m1=156, m2=271, n1=139, n2=128, M11.44716, M20.51905, M30.4046, M42.51887, N52.94238, N67.3223, N75.6164, N85.2206, and (M1+M3)(m1+m2)+(M2+M4)(n1+n2)+(N5+N6)(σ1+σ2)+(N7+N8)(β1+β2)0.8030305<1.

    Clearly all the conditions of Theorem 3.1 are satisfied. In consequence, the conclusion of Theorem 3.1 applies to the problems (4.1)–(4.2).

    Example 4.2. We consider the problems (4.1)–(4.2) with

    θ1(t,u(t),v(t)) =12+239tanu(t)+241v(t),θ2(t,u(t),v(t)) =25+19sinu(t)+117v(t). (4.3)

    Observe that

    |θ1(t,u,v)|˜k0+˜k1|u|+˜k2|v|,|θ2(t,u,v)|˜λ0+˜λ1|u|+˜λ2|v|

    with ˜k0=12, ˜k1=239, ˜k2=241 ˜λ0=25, ˜λ1=19, ˜λ2=117. Furthermore,

    (M1+M3)˜k1+(M2+M4)˜λ10.432507777<1,(M1+M3)˜k2+(M2+M4)˜λ20.269030756<1.

    Thus all the conditions of Theorem 3.2 hold true and hence there exists at least one solution for the problems (4.1)–(4.2) with θ1(t,u,v) and θ2(t,u,v) given by (4.3).

    The authors thank the reviewers for their useful remarks on our paper.

    All authors declare no conflicts of interest in this paper.



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