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Riemann-Liouville derivative over the space of integrable distributions

  • Received: 01 December 2019 Revised: 01 February 2020
  • Primary: 26A33, 26A39; Secondary: 46F12, 47G20

  • In this paper, we generalize the Riemann-Liouville differential and integral operators on the space of Henstock-Kurzweil integrable distributions, DHK. We obtain new fundamental properties of the fractional derivatives and integrals, a general version of the fundamental theorem of fractional calculus, semigroup property for the Riemann-Liouville integral operators and relations between the Riemann-Liouville integral and differential operators. Also, we achieve a generalized characterization of the solution for the Abel integral equation. Finally, we show relations for the Fourier transform of fractional derivative and integral. These results are based on the properties of the distributional Henstock-Kurzweil integral and convolution.

    Citation: María Guadalupe Morales, Zuzana Došlá, Francisco J. Mendoza. Riemann-Liouville derivative over the space of integrable distributions[J]. Electronic Research Archive, 2020, 28(2): 567-587. doi: 10.3934/era.2020030

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  • In this paper, we generalize the Riemann-Liouville differential and integral operators on the space of Henstock-Kurzweil integrable distributions, DHK. We obtain new fundamental properties of the fractional derivatives and integrals, a general version of the fundamental theorem of fractional calculus, semigroup property for the Riemann-Liouville integral operators and relations between the Riemann-Liouville integral and differential operators. Also, we achieve a generalized characterization of the solution for the Abel integral equation. Finally, we show relations for the Fourier transform of fractional derivative and integral. These results are based on the properties of the distributional Henstock-Kurzweil integral and convolution.



    Fractional calculus is devoted to studying the different possibilities of defining the differential operator of arbitrary order, properties, possible relations with the integral operator, and applications. There exist several classical definitions for fractional derivatives, for example, Caputo, Riemann-Liouville, Marchaud, Hadamard and the Weyl derivatives, among others. In recent years with the intention of solving some problems that the classical fractional derivatives do not achieve and as a consequence of those, new fractional derivatives have been defined combining power law, exponential decay and Mittag-Leffler kernel; among them those of Liouville-Caputo, Atanga-Caputo, Atanga-Gómez and Atanga-Baleanu derivatives, see [2], [3], [5], [6] and [16].

    This branch of mathematics is one of the most powerful modeling tools applied in many fields of science, physics, chemistry, biology, engineering, see e.g. [2], [3] , [5], [9], [15], [17], [23], [27] and [35]. In general, fractional calculus has been developed in the context of the Lebesgue integral, see e.g. [12], [20], [22], [30] and [39].

    In this article, we use more general integrals than the Lebesgue integral, expanding the space of functions where it is possible to apply fractional calculus. Although our study is theoretical, we primarily pursue an aim partially similar to those developed in [3], [4], [7], [16] and [38]. For example, the use of generalized integration helps us to recover the initial function, a fact searched in the above references.

    The basic idea behind fractional calculus is the fundamental theorem of calculus (FTC). First, we denote by Ja the operator that maps a integrable function f (in some sense, for example Riemann integrable in the compact interval [a,b]), onto its primitive centered at a. We denote by D the operator that maps a differentiable function onto its derivative, Df:=f(x). For nN, Jna and Dn denote the n-fold iterates of Ja and D, respectively. Therefore, using this notation the FTC reads as

    DJaf(x)=f(x)  a.e. on   [a,b],

    and this implies that

    DnJnaf(x)=f(x)  a.e. on   [a,b], (1)

    for nN. Moreover, it is possible to obtain by induction that for any nN and f Riemann-integrable function, Jna is given as

    Jnaf(x)=1(n1)!xa(xt)n1f(t)dt,

    where axb. Using the Riemann-Liuoville fractional derivative the equality (1) holds for any n>0, even non-integer, see e.g. [12], [20] and [30]. This means that we have a version of the FTC in a fractional sense. Besides, according to this fractional derivative, an arbitrary function does not need to be continuous nor be differentiable in the usual sense. Thus, this definition is an excellent tool for the description of memory and hereditary properties of several materials and processes, [20], [30] and [39].

    On the other hand, the integration theory continues developing. For example, in the last century R. Henstock and J. Kurzweil introduced a generalized integral, it is known as Henstock-Kurzweil integral, see e.g. [8] and [31]. Later, E. Talvila obtained fundamental properties about the Fourier transform using the Henstock-Kurzweil integral, see [33]. Moreover, the Henstock-Kurzweil integral can be generalized in various ways, for example, one can consider Henstock-Kurzweil-Stieljtes type integrals, see [26]. Another possible direction is the distribution theory, in [32] and [34] E. Talvila extended this integral in a distributional sense and achieved new properties for the convolution in a generalized sense. Thus, with the introduction of new integration theories, the possibility to extend fundamental results arises. The following relations are well known,

    L1[a,b]HK[a,b]^HK[a,b]DHK, (2)

    where [a,b] is any compact interval, the space of Lebesgue integrable functions is denoted by L1[a,b] and the space of Henstock-Kurzweil integrable function by HK[a,b]. ^HK[a,b] denotes the completion of HK[a,b] with respect to the Alexiewicz norm, and DHK the space of all distributions each of which is the distributional derivative of a continuous function. The last relation in (2) means that the completion of HK[a,b] is isometrically isomorphic to DHK, see [10] and [11]. The subsets of integrable functions are strictly contained, and the values of the integrals coincide; see [21] , [24] and [25]. The Riemann, Lebesgue, Henstock-Kurzweil, Perron, Denjoy, and improper integrals are special cases contained in the distributional Henstock-Kurzweil integral. Moreover, it is valid on unbounded intervals, see [34].

    Motivated by the suitability and applicability of the Riemann-Liouville fractional derivative, and the generality offered by the distributional integral, we define the Riemann-Liouville fractional integral and differential operators in the context of the distributional Henstock-Kurzweil integral. Also, we extend fundamental properties (see e.g., Theorem 3.2 and Theorem 3.3) and obtain new relations between the fractional integral and differential operators, see Theorem 4.2. In particular, we prove that the fractional differential operator inverts the fractional integral in a distributional sense, see Theorem 4.6. Finally, we show some applications of the fractional derivative, for example, a general characterization of the solution for the Abel integral equation and new properties of the Fourier transform for the fractional integral and derivative.

    Following the notation from [12], we introduce the Riemann-Liouville integral and differential operators.

    First, we recall that function Γ:(0,)R, defined by

    Γ(x):=0tx1etdt, (3)

    is Euler's Gamma function. Let n be a positive number. We define m=n as the least integer greater than or equal to n.

    Definition 2.1. Let nR+{0}. The operator Jna is defined in L1[a,b] by

    Jnaf(x):=1Γ(n)xa(xt)n1f(t)dt (4)

    for axb, is called the Riemann-Liouville fractional integral operator of order n. For n=0, we set J0a:=I, the identity operator.

    Note that for any fL1[a,b] and nR+{0}, the operator Jnaf(x) exists for almost every x[a,b] and is also an element of L1[a,b], it means for any nR+

    Jna(L1[a,b])L1[a,b],

    see e.g. [12,Theorem 2.1].

    Definition 2.2. Let nR+{0} and m=n. The operator Dna is defined by

    Dnaf:=DmJmnaf, (5)

    when Dnaf exists a.e. on [a,b] is called the Riemann-Liouville fractional differential operator of order n, where Dm denotes the mfolds iterates of the derivative. For n=0, we set D0a:=I, the identity operator.

    Note than Dnaf might not exist. However, there are sufficient conditions for the existence of fractional derivatives provided e.g. in [12], [20] and [30]. In [12,Theorem 2.14] it is shown that the Riemann-Liouville fractional differential operator inverts the Riemann-Liouville fractional integral operator over L1[a,b], where [a,b] is any compact interval. This means that the FTC holds over L1[a,b] considering the Riemann-Liouville fractional derivative. This result is known as the fundamental theorem of fractional calculus.

    Now we introduce the definition of the distributional Henstock-Kurzweil integral. Recall, the Lebesgue integral is characterized in terms of absolutely continuous functions, AC. In the case of Henstock-Kurzweil integral, there is an analogous characterization in terms of generalized absolutely continuous functions in the restricted sense ACG. This means, FACG if and only if there exists fHK[a,b] such that F(x)=xaf+F(a), hence F=f a.e., see [18]. However, if F is a continuous function, then the generalized function and the distributional derivative are needed because there are continuous functions that are differentiable nowhere.

    Let (a,b) be an bounded open interval in R, we define

    D(a,b):={ϕ:(a,b)R | ϕC and ϕ has a compact support in (a,b)}.

    Moreover, it is said that a sequence (ϕn)D(a,b) converges to ϕD(a,b) if there is a compact set K(a,b) such that all ϕn have support in K and for each integer m0, the sequence of derivatives (ϕ(m)n) converges to ϕ(m) uniformly on K, see e.g. [19].

    The dual space of D(a,b) is denoted by D(a,b) and is the space of continuous linear functionals on D(a,b). This refers to the distributions on (a,b). Let

    C0:={FC[a,b]:F(a)=0}.

    It is well known that C0 is a Banach space with the uniform norm, ||F||:=supt[a,b]|F(t)|.

    We will follow the notation from [36] to introduce the distributional Henstock-Kurzweil integral.

    Definition 2.3. A distribution fD(a,b) is said to be a Henstock-Kurzweil integrable distribution on [a,b] if there exists a continuous function FC0 such that F=f (the distributional derivative of F is f). In other words, F is the primitive of f. The distributional Henstock-Kurzweil integral of f on [a,b] is denoted by

    baf(t)dt:=F(b)F(a).

    We set DF:=F in a distributional sense. The space of all the Henstock-Kurzweil integrable distributions on [a,b] is denoted by DHK. For fDHK, we define the Alexiewicz norm in DHK as

    ||f||A:=||F||,

    where DF=f. In particular, if fHK[a,b], then ||f||A:=supx[a,b]|xaf|. Now let us consider fDHK and (fk)HK[a,b] such that ||fkf||A0, as k. Let us denote for each kN, Fk as the primitive of fk (Fk(x)=fk(x) a.e.). Since (fk)HK[a,b], then fk,ϕ=bafk(t)ϕ(t)dt for all ϕD(a,b) and

    fk,ϕ:=bafk(t)ϕ(t)dt=baFkϕ.

    On the other hand, since ||ffk||A0, as k, (Fk) is a Cauchy sequence in C[a,b]. Therefore, exists FC[a,b] such that Fk(x)F(x) and for every ϕD(a,b)

    limkfk,ϕ=limkbaFkϕ=baFϕ=F,ϕ=F,ϕ.

    Thus, in the sense of distributions (fk) converges (weakly) to F. Now, by Hölder inequality, [34,Theorem 7],

    |ba(fkf)ϕ|2||fkf||A||ϕ||BVfor eachϕD(a,b).

    Hence fkf, in the distributions sense. Therefore f=F.

    Note that it does not depend on the Cauchy sequence because the set of continuous functions with uniform norm is a Banach space. Moreover, if fDHK, then f has many primitives in C[a,b], all differing by a constant. Nevertheless, f has exactly one primitive in C0, see [11,Theorem 6,ii)].

    By [34,Theorem 2,Theorem 3], DHK is a Banach space and is a separable space with respect to the Alexiewicz norm, respectively. On the other hand, in [10] and [11] it is shown that the completion of the Henstock-Kurzweil integrable functions space, ^HK[a,b], is isomorphic to DHK. Furthermore, in [11], [34] and [37] the following result is proved.

    Theorem 2.4. DHK is isomorphic to the space C0.

    Another important fact is that the Banach dual of HK[a,b] is isomorphic to the space BV[a,b] of all functions of bounded variations on [a,b]. Moreover, HK[a,b]=DHK=BV[a,b], see [1]. To consult the formal definitions, see [18]. Also there exists a version of FTC in the Henstock-Kurzweil distributional sense.

    Theorem 2.5. ([34,Theorem 4] Fundamental theorem of calculus)

    (i) Let fDHK and F(x):=xaf. Then FC0 and DF=f.

    (ii) Let FC[a,b]. Then xaDF=F(x)F(a) for all x[a,b].

    Definition 2.6. Let f and (fk) in DHK.

    (i) (fk) converges in Alexiewicz norm to f if ||fkf||A0 as k.

    (ii) (fk) converges weakly to f in D(a,b) if fkf,ϕ=ba(fkf)ϕ0 (k) for each ϕD(a,b).

    (iii) (fk) converges weakly to f in BV if fkf,g=ba(fkf)g0 (k) for each gBV[a,b].

    In [34] is proved the following result.

    Theorem 2.7. We have

    (i) Convergence in Alexiewicz norm implies weak convergence in D(a,b) and BV[a,b].

    (ii) Weak convergence in BV[a,b] implies weak convergence in D(a,b).

    (iii) Nevertheless, weak convergence in D(a,b) does not imply weak convergence in BV[a,b] or weak convergence in BV[a,b] does not imply convergence in Alexiewicz norm.

    Consider

    D:={ϕ:RR | ϕC and ϕ has a compact support on R}.

    We say that a sequence (ϕn)D converges to ϕD if there is a compact set K such that all ϕn have support in K and for each integer m0, the sequence of derivatives (ϕ(m)n) converges to ϕ(m) uniformly on K, see e.g. [19]. The space of distributions on D is denoted by D. The space of Denjoy integrable distributions is defined by

    AC:={fD | f=F for FBC},

    where

    BC:={F:RR | FC0(¯R),F()=0}.

    We denote by C0(¯R) the continuous functions such that the limits limxF(x) and limxF(x) exist in R. Setting F(±):=limx±F(x).

    Denote

    BV:={g:RR | Vg<}

    where Vg:=supΣ|g(xi)g(yi)| and the supremum is taken over all disjoint intervals {(xi,yi)}.

    The convolution of g,f:BRR is defined by

    gf(x):=Bg(xy)f(y)dy (6)

    always that the integral (6) exists in some sense. It is well known that if f,gL1(R), then the convolution of g and f belongs to L1(R), [29]. Also, the convolution of gBV and fAc is defined with respect to the Henstock-Kurzweil distributional integral. On the other hand, when gL1(R) and fAc, and knowing that L1(R) is dense in Ac, their convolution is defined by

    gf(x):=limkgfk(x),

    where (fk)L1(R) such that ||fkf||A0, as k. Talvila [32,Theorem 2.1,Theorem 3.4] proved the following result.

    Theorem 2.8. Let (g,f)BV×AC. Then

    (i) gf(x) exists for each xR and gf belongs to C0(¯R);

    (ii) fg(x)=gf(x);

    (iii) ||gf||||f||A||g||BV where ||g||BV:=Vg+|g()|.

    Moreover, if (g,f)L1(R)×AC and hL1(R), then

    (i') gfAc;

    (ii') ||gf||A||f||A||g||1;

    (iii') h(gf)(x)=(hg)f(x).

    Note that, any fDHK can be considered as an element in AC, because of its primitive FC0 can be continuously extended to a function in C0(¯R).

    In this section, we extend the Riemann-Liouville fractional integral operator over Henstock-Kurzweil integrable distributions and we prove fundamental properties, including the semigroup property.

    In accordance with the convolution definition we set the following definition.

    Definition 3.1. Let nR+{0}, fDHK and

    ϕn(u):={un1if  0<uba,0  else. (7)

    The Riemann-Liouville fractional integral operator of order n is defined as

    Jnaf(x):=1Γ(n)ϕnf(x),

    for n1

    ϕnf(x):=xa(xt)n1f(t)dt,

    and for 0<n<1

    ϕnf(x):=limkxa(xt)n1fk(t)dt,

    whereby axb, (fk)L1[a,b] such that ||fkf||A0, as k. For n=0, we set J0af:=I, the identity operator.

    Remark 1. Note that if n1, then ϕn is increasing, non-negative and bounded on [0,ba]. Thus, ϕn is a function of bounded variation on R. When 0<n<1, the function ϕn belongs to L1(R), but it is not a bounded variation function (is unbounded at u=0). Observe that if f is in L1[a,b], then Jnaf(x)=Jnaf(x), since the distributional Henstock-Kurzweil integral contains the Lebesgue integral. Via the Hölder inequality, [34] and [37], it is easy to see that Jnaf is a temperate distribution for any fDHK and n0.

    In case (a,b)=R, the fractional integral over the real axis is defined analogously, see [30]. Note that for any n>0, ϕn is not Lebesgue integrable nor bounded on R. Thus, convolution definition (Definition 3.1) is not suitable for fAc and ϕn. On the other hand, ϕnL1loc(R), then ϕn defines a regular distribution,

    Tϕn,ϕ=ϕn(x)ϕ(x)dx,

    ϕD(R). The convolution of two distributions S and T is defined as

    ST,ϕ=S(ϕ),T(x),ϕ(xy), (8)

    see for example [14]. However, the inner pairing T(x),ϕ(xy) produces a function of y which might not be a test function. Then the distributions must satisfy one of the following conditions: (a) either S or T has bounded support, (b) the supports of S and T are bounded on the same side. In the fractional integral case, these constraints force the distribution f to have compact support. The Riemann-Liouville fractional derivative defined as convolution of generalized functions with the supports bounded on the same side is studied in [22]. Then, we will analyze the Riemann-Liouville fractional integral in the sense of the distributional Henstock-Kurzweil integral, according to Definition 3.1.

    Now, we will prove some fundamental properties of Riemann-Liouville fractional integrals.

    Theorem 3.2. Let nR+{0}, fDHK and Jnaf(x) as in the Definition 3.1. Then,

    (i) Jna:DHKDHK;

    (ii) Jna is a bounded linear operator with respect to the Alexiewicz norm;

    (iii) for (fk)DHK which converges in the Alexiewicz norm to f, we have that (Jnafk) convergences in the Alexiewicz norm to Jnaf.

    (iv) Moreover, if n1, then

    Jnaf(x)=1Γ(n)limkϕnfk(x)

    on DHK and as well on C[a,b], where (fk)L1[a,b] such that ||fkf||A0, as k.

    Proof. In the case n=0, claims i),ii) and iii) are trivial. Let n1 be fixed and fDHK. By Theorem 2.8 we have that Jnaf(x) exists for every x[a,b], and Jnaf is an element in C0, thus Jna:DHKC0DHK. Now we will show that is a bounded linear operator with respect to the Alexiewicz norm. By Theorem 2.8 (iii)

    |yaJnaf(x)dx|ya||Jnaf||dx(ya)1Γ(n)||f||A||ϕn||BV.

    Taking supreme when y[a,b] we get

    ||Jnaf||A(ba)Γ(n)||f||A||ϕn||BV.

    Now let 0<n<1 be fixed. From Definition 3.1 and Theorem 2.8 we have ϕnfAc. Since f and ϕn have compact support, we get that Jna:DHKDHK. It is clear that for any nR+, Jna is a linear operator on DHK, because of the linearity of the integral. By [28,Theorem 1.32 ] we have (iii).

    In the case n1, ϕn is of bounded variation on [0,ba] and belongs to L1(R). Let us take a sequence (fk) in L1[a,b] such that ||fkf||A0, as k. By Theorem 2.8 (iii) and (i), we have

    ||ϕnfϕnfk||A||ffk||A||ϕn||1 and 
    ||ϕnfϕnfk||||ffk||A||ϕn||BV.

    Therefore, (iv) holds.

    We will prove the semigroup property for the Riemann-Liouville fractional integral operators.

    Theorem 3.3. Let m,nR+{0} and fDHK. Then

    (i) JmaJnaf=Jm+naf in DHK; Moreover, if m1 or n1, then the identity holds everywhere in C[a,b];

    (ii) JmaJnaf=JnaJmaf in DHK;

    (iii) the set {Jna:DHKDHK,n0} forms a commutative semigroup with respect to concatenation. The identity operator J0a is the neutral element of this semigroup.

    Proof. Let nR+, fDHK. By Theorem 3.2 (iii) we have

    limkJnafk=Jnaf,

    where (fk)L1[a,b] such that ||ffk||A0, as k. For any n,mR+, and for each kN we have

    JmaJnafk(x)=Jm+nafk(x)a.e. on  [a,b], (9)

    and

    JmaJnafk(x)=JnaJmafk(x)a.e. on  [a,b], (10)

    see [12]. Since the composition of bounded operators is bounded, by (9) we have

    JmaJnaf=JmalimkJnafk=limkJmaJnafk=limkJm+nafk=Jm+nafin DHK.

    If n1, then we have Jnaf,Jm+naf,JmaJnafC[a,b]. By Theorem 3.2 (iv)

    JmaJnaf(x)=Jm+naf(x)  on [a,b]

    and we obtain (i). Claim (ii) follows from (10) and the continuity condition (Theorem 3.2 (iii))

    JmaJnaf=limkJmaJnafk=limkJnaJmafk=JnaJmafin DHK.

    Finally (iii) follows from the associative property (Theorem 2.8 (ii)).

    Analogously, let us define the right-sided Riemann-Liouville fractional integral of order n on DHK.

    Definition 3.4. Let nR+{0}, fDHK and

    ψn(u):={(u)n1if  0<uba,0else.   (11)

    The right-side fractional integral of order n is

    Jnbf(x):=1Γ(n)ψnf(x),

    for n1,

    ψnf(x):=bx(tx)n1f(t)dt,

    and for 0<n<1,

    ψnf(x):=limkbx(tx)n1fk(t)dt,

    whereby axb, (fk)L1[a,b] such that ||fkf||A0, as k. For n=0, we set J0b:=I, the identity operator.

    Remark 2. It is clear that if n1, then ψn is of bounded variation and belongs to L1(R). Thus, Jnb:DHKC0DHK, and for any fDHK

    Jnbf(x)=limkJnbfk(x),

    in DHK, where (fk)L1[a,b] such that (fk) converges in Alexiewicz norm to f. Analogously, we have ||Jnbf||||f||A||ψn||BV/Γ(n), when n1. Moreover, we get that Jnb is a bounded linear operator of DHK into DHK, because of ||Jnbf||A||f||A||ψn||BV(ba)/Γ(n). If 0<n<1, then ψnL1(R), and Jnb:DHKDHK; by Theorem 2.8 we get that Jnb is a bounded linear operator with respect to the Alexiewicz norm. Similarly, the semigroup property for the operators Jnb is obtained.

    Now, we will extend the Riemann-Liouville differential operator (Definition 2.2) in distributional sense to get new fundamental properties between the fractional integral and differential operators. Moreover, we shall prove the fundamental theorem of fractional calculus on the space DHK.

    Definition 4.1. Let nR+{0}, m:=n and fDHK. The Riemann-Liouville fractional differential operator of order n is

    Dnaf:=DmJmnaf,

    where Dm denotes the m-fold iterates of the distributional derivative. For n=0, we set D0a:=I, the identity operator.

    Remark 3. Observe that the operator Dna is well defined, since JmnafDHK, and the distributional derivative of a distribution is a distribution, see [19]. Therefore, for any nR+,

    Dna:DHKD(a,b).

    Remark 4. The Caputo derivative on R is given as

    CDnf(x):=x(xt)mn1Γ(mn)f(m)(t)dt, (12)

    where m:=n. According to the convolution definition for distribution (8), if f is any distribution with bounded support, the Caputo and Riemann-Liouville derivatives define the same functional in distributional sense, see [22]; in particular it is valid when f is induced by a function in C[a,b]. In our study any distribution f in DHK is considered. This means that f might not be induced by a locally Lebesgue integrable function.

    We will show that for any nR+ and fDHK, the Riemann-Liouville integral operator can be written via the primitive of f. This is a new property even for Lebesgue integrable functions.

    Theorem 4.2. Let nR+{0} and fDHK. Then,

    Jnaf=D(JnaF), (13)

    where FC0 and is the primitive of f. In consequence, for jN and ϕD(a,b), then

    Dj(Jnaf),ϕ=(1)j+1JnaF,ϕ(j+1). (14)

    Moreover, if m=n, then

    Dnaf=Dm+1JmnF. (15)

    For 0<n<1, DnaF is a temperate distribution and

    DnaF=J1naf. (16)

    Proof. The case n=0 is trivial. Let nR+ be fixed, fDHK and ϕD(a,b). By Definition 3.1 and Theorem 3.2 (iii) we have

    Jnaf,ϕ:=baJnaf(x)ϕ(x)dx=1Γ(n)baxa(xt)n1f(t)dtϕ(x)dx=1Γ(n)balimkxa(xt)n1fk(t)ϕ(x)dtdx,

    where (fk)L1[a,b] such that ||fkf||A, as k. Since Jnafk converges in the Alexiewicz norm to Jnaf (Theorem 3.2), by Theorem 2.7, the Fubini Theorem and integration by parts we have

    1Γ(n)balimkxa(xt)n1fk(t)ϕ(x)dtdx
    =limk1Γ(n)bafk(t)bt(xt)n1ϕ(x)dxdt,=limk1Γ(n)bafk(t)bt(xt)nnϕ(x)dxdt=limk1Γ(n)baϕ(x)xaFk(t)(xt)n1dtdx=limkbaϕ(x)JnaFk(x)dx.

    where Fk(t)=tafk(r)dr. Let ε>0, we have that for k,k large enough

    ||FkFk||=||fkfk||A<ε.

    Therefore, there exists FC0 such that limkFk(x)=F(x) for x[a,b] and for a k large enough we have ||FkF||<ε. We will show that ||JnaFkJnaF||A<ε, for a k large enough.

    Since (Fk) and F belong to C0, we have

    ||FkF||A=supy[a,b]|yaFk(t)F(t)dt|supy[a,b]ya||FkF||dtε(ba),

    for a k large enough, i.e. Fk converges in the Alexiewicz norm to F. By the continuity property (Theorem 3.2 (iii)) we get that JnaFk converges to JnaF in the Alexiewicz norm as well. Thus, by Theorem 2.7 we have

    Jnaf,ϕ=JnaF,ϕ=(JnaF),ϕ,

    and (13) holds. From (13) and the definition of derivative in the distributional sense we get (14). By definition of fractional derivative we have Dnaf=DmJmnaf, from where (15) follows. Since J1naf is a temperate distribution and DnaF=D(J1naF), we have (16).

    Corollary 1. Let nR+, m:=n, fDHK and FC0 the primitive of f. Then

    DnaF=Dm1Jmnaf. (17)

    Proof. The equality (17) follows from expression (14).

    The following example shows that, although F is differentiable nowhere, its fractional derivative of any order is well defined. Moreover, the fractional integral and derivative of arbitrary order of F are always well defined in the distributional sense.

    Example 1. Let nR+ and FC0 such that F(x) does not exists for any x[a,b]. Note that FACG(I) for any I[a,b], hence F does not belong to HK(I) nor L1(I). However, FDHK and xaDF=F(x) for all x[a,b]. By Theorem 4.2 we have

    JnaF(ϕ)=TJnaF(ϕ)=JnaF(x)ϕ(x)dx

    and

    DnaF(ϕ)=T(m+1)JmnaF(ϕ)=(1)m+1JmnaF(x)ϕ(m+1)(x)dx,

    for all ϕD(a,b) where JnaF defines an absolutely continuous functions for any n>0 and T(m) denotes the mth distributional derivative of the distribution T. This means, the fractional integral and derivative of any order of F exist, even though F is not a Henstock-Kurzweil integrable function and F is differentiable nowhere, respectively. In particular, for n1, we have that JnaFC0(¯R). On the other hand, by Definition 4.1 and Corollary 1 for all ϕD(a,b)

    DnaF(ϕ)=(1)mJmnaF(x)ϕ(m)(x)dx=(1)m1JmnaF(ϕ(m1)).

    Lemma 4.3. For any nR+, fDHK and ϕD(a,b) we have that

    Dj(Jnaf),ϕ=Djf,Jnbϕ, (18)

    where j is any positive integer or zero.

    Proof. Let nR+, ϕD(a,b) and fDHK. By Theorem 3.2, Theorem 2.7 and the Fubini Theorem

    Jnaf,ϕ:=limk1Γ(n)bafk(t)bt(xt)n1ϕ(x)dxdt,=limkbafk(t)Jnbϕ(t)dt. (19)

    For each ϕD(a,b), JnbϕAC[a,b]BV[a,b]. Since (fk) converges in the Alexiewicz norm to f, applying Theorem 2.7 in (19) we get

    Jnaf,ϕ=baf(t)Jnbϕ(t)dt=f,Jnbϕ.

    From here and by the definition of derivative in distributional sense, (18) holds.

    Applying integration by parts, semigroup property [30], and FTC, is easy to see that JnbϕD(a,b). Since Jnbϕ=Jnbϕ, (18) is well defined. Now we will show a version of the integration by parts formula for Jna on DHK.

    Theorem 4.4. Let nR+, fDHK and ϕBV[a,b]. Then,

    baϕ(x)Jnaf(x)dx=baf(t)Jnbϕ(t)dt. (20)

    Proof. Let nR+, fDHK and ϕBV[a,b]. Analogously, as in the proof of Lemma 4.3 we have

    baϕ(x)Jnaf(x)dx=baϕ(x)limk1Γ(n)xa(xt)n1fk(t)dtdx=limkbafk(t)Jnbϕ(t)dt,

    where (fk)L1[a,b] and ||fkf||A0, as k. Since ϕBV[a,b], we have that JnbϕAC[a,b] and AC[a,b]BV[a,b]. By Theorem 2.7 we have (20).

    Theorem 4.5. Assume that n1,n2R+{0}, gDHK and f=Jn1+n2ag. Then

    Dn1aDn2af=Dn1+n2af.

    Proof. We proceed as in [12,Theorem 2.13].

    Remark 5. Note that Dn2aDn1af=Dn2+n1af=Dn1+n2af=Dn1aDn2af, for gDHK and f=Jn1+n2ag.

    Now we will prove the fundamental theorem of calculus in the distributional sense, it means, Dna inverts Jna on DHK and for any nR+.

    Theorem 4.6. Let nR+{0}. Then, for every fDHK,

    DnaJnaf=f.

    Proof. In the case n=0, the statement is trivial because Dna and Jna are both the identity operator. Assume that nR+ and let m:=n. Then, by the definition of Dna, the semigroup property of the integral operators and the fundamental theorem of calculus (Theorem 2.5),

    DnaJnaf:=DmJmnaJnaf=DmJmaf=f.

    Theorem 4.7. Let f1,f2 in DHK, nR+{0} and c1,c2R. Then,

    Dn(c1f1+c2f2)=c1Dnf1+c2Dnf2.

    Proof. The linearity property follows from the linearity of the derivative.

    Now we will show some relations between Riemann-Liouville integrals and derivatives.

    Corollary 2. Let nR+{0}. If there exists some gDHK such that f=Jnag, then

    JnaDnaf=f.

    Proof. It follows from definition of f and Theorem 4.6,

    JnaDnaf=Jna[DnaJnag]=Jnag=f.

    Corollary 3. Let 0<n<1. Assume that f is such that J1nafC0. Then,

    JnaDnaf=f. (21)

    In particular, if fC0, then (21) holds as well.

    Proof. Assume that J1nafC0. Since C0 is isometrically isomorphic to DHK (Theorem 2.4) there exists ϕDHK such that

    J1naf:=J1aϕ. (22)

    Applying the operator D1na in (22) by Theorem 3.3 and Theorem 4.6,

    f=Jnaϕ.

    It follows from Corollary 2. Now let us consider fC0, then J1nafC0 it follows in an analogous way.

    We have that the differential operator D is the inverse operator J1a. This means,

    DJ1af=f,

    for any fDHK. Analogously, for nR+ and fDHK

    DnaJnaf=f.

    Now, let us consider FC[a,b]. In general, xaDF(t)dtF(x) because of the appearance of the constant F(a). We will show that in general, Jna does not inverts Dna. Even more, we provide an explicit expression.

    Definition 4.8. Let nN. It is said that FCn[a,b] if and only if F(n1)C[a,b] in the classical sense, it means, (ddx)n1F(x)=F(n1)(x).

    It is clear that C1[a,b]=C[a,b]. Note that if F(n1)C[a,b], then for any ϕD(a,b) we have

    F(n1),ϕ=(1)n1F,ϕ(n1).

    Moreover, if FCn[a,b], then F,F(1),...,F(n1)C[a,b] and F(k1) is the primitive of F(k), therefore

    F(k1)(x)=xaF(k)(t)dt+F(k1)(a),

    with another notation

    Dk1F=F(k1),

    where k=1,2,...,n1. For k=n we have DnF=ϕ for some ϕDHK.

    Lemma 4.9. The space Cn[a,b] consists of those and only those functions f(x), which are represented in the form

    f(x)=1(n1)!xa(xt)n1ϕ(t)dt+n1k=0ck(xa)k,

    where ϕDHK, ck being arbitrary constants.

    Proof. The proof follows from Definition 4.8, characterization of C[a,b] in terms of distributional integral and Definition 3.1. Moreover, ϕ=Dnf and ck=f(k)(a)/k!=Dkf(a)/k!.

    Let n be a positive number. We define n as the greatest integer less than or equal to n.

    Theorem 4.10. Let nR+ and m:=n+1. Assume that f is such that JmnafCm[a,b]. Then,

    JnaDnaf(x)=f(x)m1k=0(xa)nk1Γ(nk)Dmk1Jmnaf(a).

    In particular, if  0<n<1 we have

    JnaDnaf(x)=f(x)(xa)n1Γ(n)J1naf(a).

    Proof. Since JmnafCm, by Theorem 2.4 there exits ϕDHK such that

    Dm1Jmnaf=J1aϕ+Dm1Jmnaf(a).

    By Lemma 4.9 we have that

    Jmnaf(x)=Jmaϕ(x)+m1k=0(xa)kk!DkJmnaf(a). (23)

    By definition of Dna, the expression (23) and Theorem 3.3

    JnaDnaf(x):=JnaDmJmnaf(x)=JnaDm[Jmaϕ+m1k=0(xa)kk!DkJmnaf(a)]=JnaDmJmaϕ+m1k=0JnaDm(a)k(x)k!DkJmnaf(a)=Jnaϕ. (24)

    Now applying the operator Dmna to both sides of (23) and by Theorem 3.3 we have that

    f(x)=DmnaJmaϕ(x)+m1k=0Dmna[(a)k](x)k!DkJmnaf(a).

    By definition of derivative, Theorem 3.3 and Example 2.4 in [12],

    f(x)=Jnaϕ(x)+m1k=0(xa)k+nmΓ(k+nm+1)DkJmnaf(a). (25)

    So, we substitute k by mk1 in (25) and by the expression (24), we obtain the result.

    Following the idea that the primitives of an element in DHK differ by a constant, we will generalize the following results, [30,Lemma 2.1]. Let 0<n<1 and FAC[a,b]. Then J1naFAC[a,b] and

    J1naF(x)=F(a)(xa)n+1Γ(n+2)+J2naF(x).

    Furthermore, under the same assumptions of [12,Lemma 2.12] we have

    DnaF(x)=F(a)Γ(1n)(xa)n+J1naF(x).

    Now we give the corresponding generalizations in the distributional sense.

    Corollary 4. Let 0<n<1 and FC[a,b]. Then J1naFC[a,b] and

    J1naF(x)=F(a)(xa)n+1Γ(n+2)+J2naf(x)

    for fDHK such that f=DF. Moreover,

    DnaF(x)=F(a)Γ(1n)(xa)n+J1naf(x).

    Proof. Let FC[a,b]. By Theorem 2.4 and Theorem 2.5 we have that

    F(x)=xaf(z)dz+F(a)=xaDF+F(a),

    for some fDHK such that f=DF. Let 0<n<1 be fixed. Then

    J1naF(x):=1Γ(1n)xa(xt)nF(t)dt=1Γ(1n)xa(xt)n(F(a)+taf(z)dz)dt. (26)

    Let us consider fDHK, h(u)=un if 0<uba and 0 else, and let us define their definite integrals as

    F0(t)=taf,ta and H0(x)=x0h,x0.

    We emphasize with the subindex zero that the definite integrals F0 and H0 are in C0 and AC[a,b]C0, respectively. It is clear that f can be considered as an element of Ac and h belongs to L1(R). By [32,Theorem 4.4] we have that H0fC0 and H0f(x)=hF0(x) for all xR. Moreover,

    Rh(xt)F0(t)dt=xah(xt)F0(t)dt=RH0(xt)f(t)dt=xaH0(xt)f(t)dt, (27)

    for axb. On the other hand,

    H0f(x)=xa(xt)n+1n+1f(t)dt. (28)

    By expressions (26), (27), (28) and properties of gamma function we have that

    1Γ(1n)xa(xt)n(F(a)+taf(z)dz)dt
    =F(a)Γ(2n)(xa)1n+1Γ(1n)hF0(x)=F(a)Γ(2n)(xa)1n+1Γ(1n)H0f(x)=F(a)Γ(2n)(xa)1n+J2naf(x).

    It is clear that J1naFC[a,b]. On the other hand,

    DnaF(x):=DJ1nF(x)=D[F(a)(xa)n+1Γ(n+2)+J2naf(x)]=F(a)Γ(1n)(xa)n+DJ2naf(x).

    By Theorem 4.2, Theorem 3.3 and Theorem 4.6 we have

    DJ2naf(x)=DDJ2naF0(x)=DJ1naF0(x)=J1naf(x).

    Example 2. Let f:[0,1]R defined as

    f(t)={(1)k+12kk1if  t[ck1,ck)0 if  t=1,

    where ci=12i, i=0,1,2,... It is well known that fHK[0,1]L1[0,1], see [8]. Therefore, F(t):=t0f belongs to ACG[0,1]AC[0,1], see e.g., [18]. Since F is in C0, we have that J1n0F belongs to AC[0,1] for 0<n<1, hence J1n0F is differentiable a.e. Taking n=1/2 and applying Corollary 4 we can calculate J1/20f, even though fL1[0,1],

    J1/20f(x)=D1/20F(x)=1π[n1k=1(1)k+1k+2cn1(1)n+1n]x1/2+(1)n+12n+1nπx1/2,

    when x(cn1,cn), in case x=ci for iN we have that D1/20F(x) does not exists. This example illustrates that f does not need to be Lebesgue integrable to achieve its fractional integral pointwise a.e. Moreover, according to Definition 4.1 and equality (13) from Theorem 4.2 the operators J1/20f and D1/20F are distributions given by the same regular distribution, this means that for all ϕD(a,b)

    J1/20f(ϕ)=J1/20F(x)ϕ(x)dx=J1/20f(x)ϕ(x)dx=D1/20F(ϕ),

    and

    D1/20f(ϕ)=J1/20F(x)ϕ(x)dx=J1/20f(x)ϕ(x)dx.

    The integral equation

    1Γ(n)xa(xt)n1φ(t)dt=f(x), (29)

    where 0<n<1, f is a known function and φ is the unknown function, is called the Abel integral equation. Assume this equation is considered on a compact interval [a,b]. We will show a generalization of the solution of (29).

    Theorem 5.1. The Abel integral equation (29) is solvable in DHK if and only if J1nafC[a,b] and J1naf(a)=0.

    Proof. Necessity. Let 0<n<1 be fixed. Assume that the Abel integral equation (29) has a solution in DHK. It means, given fDHK there exists φDHK such that

    Jnaφ(x)=f(x).

    Applying J1na, by Theorem 3.3 we get

    J1aφ(x)=xaφ(t)dt=J1naf(x).

    By hypothesis φDHK, thus J1nafC0. Since the Abel integral equation has a solution, it must be φ=Dnaf.

    Sufficiency. Assume that there exists fDHK such that J1nafC0. Then there exists φ1DHK such that

    J1naf(x)=xaφ1(t)dt.

    We will prove that φ1 is solution of (29). Applying D1na by Theorem 4.6 and Theorem 3.3 we have

    f=Jnaφ1.

    Remark 6. It is possible to prove this result using the associative property of the convolution, change of variable and the isomorphism between DHK and C0.

    The Fourier transform of a distribution T is defined as

    ˆT,ϕ=T,ˆϕ,

    where ϕD, the set of test functions, and the Fourier transform of g at x is

    ˆg(x)=g(t)exp(2πitx)dt.

    Thus, we obtained the following properties of the Fourier transform for the Riemann-Liouville integral and derivative.

    Proposition 1. Let nR+{0}, FC0 and fDHK such that DF=f. Then

    (i)

    ^Jnaf,ϕ=η^JnaF,ϕ,

    where η=2πis and ϕD(a,b).

    (ii) For m1n<m,

    ^Dnaf,ϕ=ηm^Jmnaf,ϕ=ηm+1^JmnaF,ϕ.

    (iii) Let kN. Then

    (Dk^Jnaf),ϕ=^(η)kJnaf,ϕ,

    where Dk denotes the kfolds iterates of the derivative in distributional sense.

    Proof. By (13) from Theorem 4.2

    ^Jnaf,ϕ=Jnaf,ˆϕ=JnaF,(ˆϕ) =JnaF,ˆψ=^JnaF,ηϕ=η^JnaF,ϕ, (30)

    where ψ=2πsϕ(s). Analogously, by definition of distributional derivative and (30) we obtain (ii). Let kN, it is easy to see

    D(^Jnaf),ϕ=^ηJnaf,ϕ.

    Applying the same argument k1 times we get the result.

    Also, if T is a distribution and ψ is a test function, then the convolution of ψT is defined as

    ψT,ϕ=T,ψϕ,

    where ψ(x)=ψ(x) and ϕD(a,b). Additionally, the convolution theorem holds in distributional sense, see [13]: if T is a temperate distribution and ψ a distribution with compact support, then

    ^ψT=ˆψˆT,

    where the right side is the product of a distribution and a function in C(R), which defines a temperate distribution. From the previous proposition we obtained the following relations. Note that Jnaf is a temperate distribution when fDHK and n0, see [34], [37].

    Proposition 2. Let nR+{0}, FC0, fDHK such that DF=f, and ψ,ϕD(a,b).

    (i) Then

    ^ψJnaf,ϕ=η^JnaFˆψ,ϕ.

    (ii) If Dnaf is a temperate distribution,

    ^ψDnaf,ϕ=^ηm+1JmnaFˆψ,ϕ,

    where m1<nm.

    In this work, we present an extension of the Riemann-Liouville fractional derivative defined over the space of Henstock-Kurzweil integrable distributions. Thus, we obtain a generalization of classical results and new relations between the fractional derivative and integral operators. These results enable to achieve expressions for the fractional integral (of arbitrary order) of any integrable distribution f, even though f is not induced by a Lebesgue integrable function; and for the fractional derivative of any order of f, though f is continuous and differentiable nowhere, see Example 1 and Example 2. Hence, an advantage of this extension is that the fractional derivative of any order n>0 (integer or non-integer) is always well defined over DHK, which contains the spaces of Lebesgue, Henstock-Kurzweil and improper integrable functions. Thus, it is not necessary to constrain the fractional derivative Dn over ACn. We believe that our results might contribute to modeling real-world problems.

    In the classic fractional calculus theory there is a version of Leibniz' formula. This means, it is assumed that the functions f,g are analytic functions in order to obtain an explicit expression of the fractional derivative of the product fg, see e.g. [12,Theorem 2.18]. In the distribution theory the product of a distribution fD(a,b) and gCc(a,b) is defined as

    fg(ϕ):=f(gϕ),

    for any ϕCc(a,b). In particular, if fDHK and gBV[a,b], then the product belongs to DHK and

    bafg=F(b)g(b)baFdg,

    where FC0 and DF=f, see [34]. In this paper we extended the integral and differential concepts of arbitrary positive order in the distributional sense. Thus a natural question is: Under what conditions is it possible to get an explicit expression of Dn[fg], where nR+, fDHK and gBV[a,b]?

    Here we established fundamental results for fractional calculus in the sense of the distributional Henstock-Kurzweil integral. On the other hand, the Riemann-Liouville fractional derivative seems to be the most suitable according to theoretical and applied studies, see [6]. Nevertheless, many numerical approximations of the fractional derivative were made considering the Caputo derivative and the Lebesgue integral. Thus, the future possible research is rich and has several directions, for example, differential equations, generalized differential equations, mathematical modeling and numerical approximation, where integration techniques play an important role, see e.g., [2], [5], [6], [7], [9], [15], [20], [27], [31], [35], [38] and [39], among others.



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