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        SOLVABILITY OF DISCRETE FRACTIONAL BOUNDARY VALUE PROBLEMS??

        2015-11-30 09:17:59JianingXuXueGongChengminHou
        Annals of Applied Mathematics 2015年2期

        Jianing Xu,Xue Gong,Chengmin Hou

        (Dept.of Math.,Yanbian University,Yanji 133002,Jilin)

        SOLVABILITY OF DISCRETE FRACTIONAL BOUNDARY VALUE PROBLEMS??

        Jianing Xu,Xue Gong,Chengmin Hou?

        (Dept.of Math.,Yanbian University,Yanji 133002,Jilin)

        In this paper,by introducing a new approach,we investigate a discrete fractional boundary value problem.We transform a fractional nonlinear difference equation on a finite discrete segment with boundary conditions into a system,and obtain some conditions for the existence of solutions to the equation,based on coincidence degree theory and matrix theory but not on Green’s function.

        fractional difference;boundary value problem;coincidence degree theory;matrix theory

        2000 Mathematics Subject Classification 39A12;44A25;26A33

        Ann.of Appl.Math.

        31:2(2015),225-235

        1 Introduction

        In this paper we study the existence of solutions to the following fractional boundary value problem(FBVP)

        The boundary value problems for differential equation and fractional differential equation have been extensively studied.Many excellent results have been obtained based on some theories such as coincidence degree theory,cone theory,etc.For details,see[1-7]and the references therein.Discrete fractional calculus has gained great attention.There are some literatures dealing with the discrete fractional difference equation subject to various boundary value conditions or initial value conditions.The study of the existence of the solutions to fractional difference equations boundary value problems is hard,and some results for these please see[8-22].For example,in[13-16],the authors investigated the existence of solutions to some boundary value problems by fixed point theorems on a cone,based on a fixed-point theorem for the completely continuous operators in cones and the Green’s function.It is necessary to study the sign of Green’s function for the corresponding linear equations.For practical purposes,serious difficulties arise in the search for a Green’s function and the judgement of its sign.In[18],it is the first time that the coincidence degree theory was introduced to investigate the boundary value problem for fractional difference equations.In this paper,we further develop the technique to study(1)with(2)by substituting(1) with(2)into a continuous operator equation with boundary value conditions,and then apply matrix theory and coincidence degree theory to establish the existence of solutions to(1) with(2).

        Throughout this paper,RTstands for the T-dimensional real vector space.A-1denotes the inverse matrix of the matrix A,R(A)denotes the rank of A,A?denotes transpose of a matrix or a vector,and(·,·)denotes the inner product of two elements.

        2 Preliminaries

        We first introduce some definitions about discrete fractional operators,which can be found in[13,16].

        First,for any integer β,let Nβ={β,β+1,β+2,···}.We define,for any t and ν,where the right-hand side is defined.We also assume that if t+1-ν is a pole of the Gamma function and t+1 is not a pole,then t(ν)=0.

        Definition 2.1 The νth fractional sum of f for ν>0 is defined by

        for t∈Na+ν.We also define the νth fractional difference for ν>0 by Δνf(t):=ΔNΔν-Nf(t), where t∈Na+N-νand N∈N is chosen so that 0≤N-1<ν≤N.

        Definition 2.2 Let f be any real-valued function and ν∈(1,2).The discrete fractional difference operator is defined as

        Lemma 2.1[20]Let y:Na-→R and ν>0 with N-1<ν≤N,then

        for t∈Na+N-ν,

        Lemma 2.2[20]Let f:Na-→R be given and suppose k∈N0and ν>0.Then for t∈Na+ν,

        Moreover,ifμ>0 with M-1≤μ≤M,then for t∈Na+M-μ+ν,

        Lemma 2.3[20]Let f:Na-→R be given and supposeμ,ν>0 with N-1<μ≤N. Then for t∈Na+ν+N-μ,

        Lemma 2.4[20]Let f:Na-→R be given and suppose ν>0 with N-1<ν<N.Then for t∈Na-ν+N,

        Next we recall some notations,definitions and theorems on coincidence degree theory.

        Let X and Z be real normed spaces.If a linear mapping L:domL?X-→ Z is a Fredholm mappings of index zero,then there exist continuous pro jectors P:X-→X, Q:Z-→Z such that ImP=KerL,KerQ=ImL and X=KerL⊕KerP,Z=ImL⊕ImQ as topological direct sums.Consequently,the restriction LPof L to domL∩KerP is one-to-one and onto ImL,thus its pseudo inverse KP:ImL-→domL∩KerP is defined.

        Let ? be an open subset of X and satisfy domL∩?≠?.The mapping N:X-→Z is called L-compact ifis bounded and KP(I-Q)N:is compact.

        Lemma 2.5[21](Mawhin continuation theorem)Let X and Z be two Banach spaces and L be a Fredholm mapping of index zero.Assume that N:X-→Z is L-compact onwith? being open bounded in X and the following hypotheses are satisfied.

        (i)Lx≠λNx,for any(x,λ)∈[(domLKerL)∩??]×(0,1);

        (ii)Nx?ImL,for any x∈KerL∩??;

        (iii)deg(QN|KerL,?∩KerL,0)≠0,where Q:Z-→ Z is a continuous projector satisfying ImL=KerQ.

        Then the equation Lx=Nx has at least a solution in domL∩?.

        RT+1is endowed with the normis a Banach space.We define the norm of the matrix A as,where|·|denotes the usual absolute value in R,λmax(A?A)and λmin(A?A)denotes the maximal eigenvalue and minimal eigenvalue of A?A,respectively.So‖A‖and‖x‖are consistent.

        3 Main Results

        Lemma 3.1 C=

        is a reversible matrix.

        Proof detC=1+detD.detD

        Therefore,

        The proof is complete.

        Lemma 3.2 The set of solution to the FBVP(1)with(2)is equal to the set of solutions to the operator equation

        where x=(x(ν-1),x(ν),···,x(T+ν-1))?,B-1=C,More precisely,x is a solution to the FBVP(1)with(2)if and only if x is a solution to(3).

        Proof Necessity Assume that x is a solution to the FBVP(1)with(2).Let y(t)=,then by Lemmas 2.1 and 2.3,we have

        and the FBVP(1)with(2)is equal to

        By(4)and(6),we have

        that is,y=Bx and

        On the other hand,equation(5)can be expressed by

        Thus,Ay=ABx=Fx.

        Sufficiency If x satisfies(3).Let y=Bx,then y satisfies(9).Thus,(8)implies that x is a solution to(1)with(2).The proof is complete.

        Next,we can see that A is a semi-positive definite and R(A)=T.Let λ1,λ2,···,λT+1be eigenvalues of A.We order them as

        Since A is real and symmetric,there must exist T+1 linearly independent eigenvector η1,η2,···,ηT+1satisfying

        It is clear that η={η1,η2,···,ηT+1}is a normal orthogonal basis of.Let

        Since B is a nonsinguar matrix,ξ={ξ1,ξ2,···,ξT+1}is a basis of RT+1.Define a linear operator L:domL? RT+1-→as Lx=ABx.Define N:RT+1-→as Nx=Fx.Then a solution to problem(1)with(2)is equivalent to that to the operator equation Lx=Nx.Thus,we obtain

        By(10)and(11),it is easily shown that{λ2η2,λ3η3,···,λT+1ηT+1}is a basis of ImL.

        We extend it as a basis of the T+1-dimensional real vector space as follows:

        We can define continuous projectors P:RT+1-→RT+1andas

        Thus the Moore-Penrose(Pseudo-inverse)Kp:ImL-→(I-P)x is defined as

        for i∈[2,T+1]N2.And ImP=KerL,KerQ=ImL,?RT+1=ImL⊕ImQ,RT+1=KerL⊕ImP.

        Theorem 3.1 Let

        Assume that:

        (G1)There exist constants α,β>0,such thatand

        (G2)there exists a constant m1>0,for x∈RT+1,such that when||x||>m1,either (Bξi,Fx)>0 for i=1,or(Bξi,Fx)<0 for i=1;

        (G3)for x∈RT+1,there exists a constant m2>0 such that||x||>m2either(Bx,Fx)>0 or(Bx,Fx)<0. Then,the FBVP(1)with(2)has at least one solution.

        4 Proof of Main Result

        Lemma 4.1 The continuous projector Q defined in Section 3 is a semi-positive definite matrix.

        Proof From the definitions of Q andit follows thatthen

        By the matrix theory,it is clear that Q is semi-positive definite.

        Proof of Theorem 3.1 Set

        Since for any x∈?1,, we see that ?1?(I-P)X.

        For R(AB)=T,(I-P)X is a T-dimensional space whose normal is denoted by‖x‖, and we denote

        According to what described in Section 3,{ξ2,ξ3,···,ξT+1}is a basis of(I-P)X.Then for any x∈?1,x?KerL.We haveand

        By(2),

        Since

        we get|x(ν-2)|≤C1‖x‖.

        By(7),

        we see that

        This shows that ?1is bounded.

        Set ?2={x∈KerL:Nx∈ImL},for each x∈?2,then we have x∈KerL,and QNx=0.

        Since

        which is equivalent to

        Then by(G2),‖x‖≤m1,hence ?2is bounded.

        Next,according to(G3),there are two cases:

        Case 1 Assume that(Bx,Fx)>0 holds.Set ?3={x∈KerL:λBx+(1-λ)QNx= 0,λ∈[0,1]},where B:KerL-→ImQ is a linear isomorphism.For each x∈?3,we haveBx=-(1-λ)QNx.If λ=1,then x=0.If λ=0,then ?3becomes ?2,or λ∈(0,1)and if‖x‖>m2,then it follows from Lemma 4.1 that

        This contradicts the condition(G3).So ?3?{x∈KerL:‖x‖≤m2},that is ?3is bounded.

        Case 2 Assume that(Bx,Fx)<0 holds.Set ?3={x∈KerL:-λBx+(1-λ)QNx= 0,λ∈[0,1]},then the same result is true for ?3.

        By the definitions of L and N,it is easily shown that L is a Fredholm mapping of index 0 and N is L-compact.Let ? be an open subset of RT+1satisfyingFrom the above discussion,(i)and(ii)of Lemma 2.5 are verified.

        Next,let us check that condition(iii)of Lemma 2.5 is satisfied.Set

        The above discussion implies

        Since B:?∩KerL-→RT+1can be seen as a linear mapping,then equation Bx=0 has a unique solution in ?∩KerL.

        and

        So,deg(B,?∩KerL,0)≠0.

        It follows from Homotopy invariance that

        So,by Lemma 2.5,Lx=Nx has at least one solution inthat is,equation(1) with(2)has at least one solution.The proof is complete.

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        (edited by Liangwei Huang)

        ?This project was supported by the National Natural Science Foundation of China(11161049).

        ?Manuscript December 8,2014

        ?.E-mail:cmhou@foxmail.com

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