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Pseudo-Stieltjes calculus: αpseudo-differentiability, the pseudo-Stieltjes integrability and applications

  • In this paper, the concepts of the αpseudo-differentiability and the pseudo-Stieltjes integrability are proposed, and the corresponding transformation theorems and Newton–Leibniz formula are established. The obtained results provide a framework for analyzing nonlinear differential equations.

    Citation: Caiqin Wang, Hongbin Xie, Zengtai Gong. Pseudo-Stieltjes calculus: αpseudo-differentiability, the pseudo-Stieltjes integrability and applications[J]. Electronic Research Archive, 2024, 32(11): 6467-6480. doi: 10.3934/era.2024302

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  • In this paper, the concepts of the αpseudo-differentiability and the pseudo-Stieltjes integrability are proposed, and the corresponding transformation theorems and Newton–Leibniz formula are established. The obtained results provide a framework for analyzing nonlinear differential equations.



    Pseudo-analysis, originated by Pap [1,2,3,4], has enjoyed wide application in distinct domains, including measure theory, integration, integral operators, convolution, Laplace transform, optimization, nonlinear differential and difference equations, economics, game theory, etc. In fact, in many uncertain issues, such as probabilistic metric spaces, fuzzy logics and fuzzy sets theory, and fuzzy measures, operations differ from the usual addition and multiplication defined for real numbers, such as triangular norms, triangular conorms, pseudo-additions, and pseudo-multiplications, which are more effective. In particular, the triangular conorm decomposable measure was initially presented by Dubois and Prade [5] as a special class of key fuzzy measures [6]. Further, by using Aczel's representation [1,7,8], these could be represented with corresponding results of reals [9], such as the addition operator, multiplication operator, differentiability, and integrability.

    However, the definition of g-integrability is inconsistent with the definition of the pseudo-integrability regarding a decomposable measure in extant research [4,9]. Specifically, based on the integrability and the limit of an elementary function, [1,2,4,10,11] defined null-additive set functions, decomposable measures, nonlinear equations, fuzzy integrals based on pseudo-additions and multiplications, pseudo-additive measures, and integrals. Besides, according to the usual Riemann, Stieltjes, or Lebesgue integral of reals by Aczel's representation, [2,4,9] defined decomposable measures, nonlinear equations, and the double g-integral.

    Recently, under the combination of the pseudo-differentiability and the pseudo-integrability presented by Gong [12], Newton–Leibniz formula has been developed and applied directly to the nonlinear differential equations. Also, the Jensen's and reverse Jensen's inequalities for Choquet integrals and asymmetric Choquet integrals are obtained [13,14]. In the current work, first, the αpseudo-differentiability and the αpseudo-integrability are defined. Further, the corresponding transformation theorems are explored, and the Newton–Leibniz formula is investigated. Finally, the obtained results are directly utilized to discuss differential equations.

    The remainder of the work is organized as follows: in Section 1, some basic results of pseudo-additions are recalled. Section 2 investigates the αpseudo-differentiability and the pseudo-Stieltjes integrability, and further gives the transformation theorems for them. Also, the Newton–Leibniz formula is obtained. In Section 4, we utilize the obtained results as a framework to directly discuss nonlinear differential equations.

    According to [1,10], let [a,b] be a closed (in some cases it can be considered semiclosed) subinterval of [,+]. Let be the full order on [a,b]. A binary operation on [a,b] is pseudo-addition, if it is commutative, nondecreasing (with respect to ), associative, and with a zero element 0. Let [a,b]+[a,b] with 0x. A binary operation on [a,b] is pseudo-multiplication, if it is commutative, positively nondecreasing, i.e., xy implies xzyz for all z[a,b]+, associative, and with unit element 1[a,b]. We adopt the convention 0x=0 for each x[a,b], and is distributive over . Further more, the convention that the operation has priority with respect to the operation will also be adopted. It is easy to verify that the structure ([a,b],,) is a (real) semiring.

    Lemma 2.1. (Aczel's theorem [7,8]) If is continuous and strictly increasing in (a,b)×(a,b), then there exists a monotone function g:[a,b][,+] such that g(0)=0 and

    xy=g1(g(x)+g(y)),

    where g is called a generator of .

    The structure ([a,b],,) is a general g-semiring [1] with a continuous and strictly monotone generator g: [a,b][,+], i.e., xy=g1(g(x)+g(y)), and xy=g1(g(x)g(y)),x,y[a,b]. And 0=g1(0) holds. and 1=g1(1).

    Referring to [1], the following statements hold:

    (a) If g is a strictly increasing generator, then 0=a, the usual order induced by is as follows: xyg(x)g(y).

    (b) If g is a strictly decreasing generator, then 0=b, the usual order induced by as follows: xyg(x)g(y).

    A metric can be induced as follows: d(x,y)=|g(x)g(y)|.

    Aczel's representation theorem is designed to solve computational problems in real valued non additive measure fuzzy calculus, so our theory is a further development and application of real valued non additive measure fuzzy calculus.

    Definition 3.1. Let be continuous and strictly increasing. For x,y[a,b], if there exists z[a,b] such that x=yz, then z is said to be a pseudo-difference of x and y, denoted as z=xy.

    Remark 3.1. For simplicity, the operator is called the pseudo-substraction.

    The following results are direct consequences of Definition 3.1.

    Corollary 3.1. As a general g-semiring ([1]) with a continuous and strictly monotone generator g, the pseudo-substraction of the structure ([a,b],,) exists, and xy=g1(g(x)g(y)), where g is a generator of .

    Proof. For any elements x,y[a,b], there is z=g1(g(x)g(y)) such that g1(g(y)+g(z))=x, i.e., g(y)+g(z)=g(x). Then there exists a z such that x=yz. Thus, there exists a z[a,b] such that x=yz.

    Definition 3.2. Let 0,1[a,b] be the zero (neutral) element and unit element respectively. Then 1 is defined by 1=01=g1(g(1)).

    Corollary 3.2. If xy exists, then a(1)b)=ab..

    Definition 3.3. Let x,y[a,b] and y0. If there exists z[a,b] such that x=yz, then z is said to be a pseudo-quotient of x and y, denoted by xy.

    Remark 3.2. For simplicity, the operator is called the pseudo-division.

    Corollary 3.3. As a general g-semiring[[12]] with a continuous and strictly monotone generator g, for any non-zero element y[a,b], the pseudo-division of the structure ([a,b],,) exists, and xy=g1(g(x)g(y)), where g is a generator of .

    Proof. For any non-zero element y[a,b], there is z=g1(g(x)/g(y)) such that g1(g(y)g(z))=x, i.e., g(y)g(z)=g(x). Thus, there exists a z[a,b] such that x=yz.

    Corollary 3.4. Let 1[a,b] be the unit element, respectively. For any x[a,b] and x0. Then x(1) is defined by x(1)=g1(1g(x)). It is easily to prove that xy=xy(1)=g1(g(x)g(y)).

    Given x[a,b], its pseudo-absolute value |x|is defined as

    |x|=|g(x)|

    where g is a generator of .

    The metric on [a,b] is given by

    d(x,y)=|g(x)g(y)|

    for x,y[a,b], wherein g is a generator of . Obviously, mapping d is a metric.

    Furthermore, we have the following representation:

    Remark 4.1. Let be continuous and strictly increasing. If xy exists, then the pseudo-metric d on [a,b] can be represented by

    d(x,y)=|xy|,

    where || is a pseudo-absolute value.

    Remark 4.2. Let d be the metric defined on [a,b], and x,y,λ1,λ2[a,b]. Then

    d(λ1x,λ2y)=|g(λ1)g(x)g(λ2)g(y)|

    where g is a generator of .

    Definition 4.1. Let be strictly increasing and continuous, let α be a nondecreasing function, and let f:[c,d][a,b]. Then f is said to be pseudo-differentiable with respect to α at the point x[c,d], if there exists dαf(x)dx[a,b] such that

    limh0[(f(x+h)f(x))(α(x+h)α(x)]

    exists and equals to dαf(x)dx. dαf(x)dx (or wrote fα(x0)) is called the αpseudo-derivative of f(x) at x. For x=c,x=d, only consider the single αpseudo-derivative: limh0+[(f(c+h)f(c))((α(c+h)α(c)] or limh0[(f(d)f(dh))(α(d)α(dh))].

    Obviously, we have the following statements.

    Remark 4.3. It is clear that if α(x)=x, then Definition 4.1 degenerate to the definition of the pseudo-differentiability of f introduced in [12], and the αpseudo-derivative of f(x) at the point x is written to be df(x)dx (or written f(x0)).

    Remark 4.4. Let be strictly increasing and continuous, let α be a nondecreasing function, and let f:[c,d][a,b]. Then f is αpseudo-differentiable at the point x0[c,d] (fα(x0) is the α-derivative at x0), if and only if for every ϵ>0, there exists a δ>0 such that for any u,v satisfying x0[u,v](x0δ,x0+δ),

    d((f(v)f(u))((α(v)α(u)),fα(x0))<ϵ

    holds.

    Theorem 4.1. Let be strictly increasing and continuous, and let α be a nondecreasing function with αC1g[a,b] (i.e., g(α)C1[a,b]), f:[c,d][a,b]. Then f is αpseudo-differentiable at the point x0[c,d], and fα(x0) is the α-derivative at x0, if and only if f is pseudo-differentiable at x0[c,d], and

    f(x0)=α(x0)fα(x0),

    where C1[a,b] is the continuously differentiable function space.

    Proof. If f is αpseudo-differentiable at the point x0[c,d], then for any ϵ>0, there exists a δ>0 such that for any interval [u,v] satisfying x0[u,v](x0δ,x0+δ), we have

    d((f(v)f(u))((α(v)α(u)),fα(x0))<ϵ.

    Note that

    d((f(v)f(u))(vu),α(x0)fα(x0)=d([(f(v)f(u))((α(v)α(u))][(α(v)α(u))(vu),α(x0)fα(x0))=|g([(f(v)f(u))((α(v)α(u))])g([(α(v)α(u))(vu)])g(α(x0))g(fα(x0))|=|g([(f(v)f(u))((α(v)α(u))])g(fα(x0))||g([(α(v)α(u))(vu)])|+|g([(α(v)α(u))(vu)])g(α(x0))||g(fα(x0))|ε|g([(α(v)α(u))(vu)])|+ε|g(fα(x0))|=ε|g([(α(v)α(u))(vu)])g(α(x0))|+|g(α(x0))|)+ε|g(fα(x0))|ε(ε+M)+ε|g(fα(x0))|.

    Remark 4.5. Let be strictly increasing and continuous, and let α be a nondecreasing function with αC1g[a,b],f:[c,d][a,b]. Further assume f be αpseudo-differentiable x0[c,d]. Then f is pseudo-continuous at x0, i.e., limh0f(x0+h)=f(x0) for any x0[c,d].

    Proof. Fixed x0[c,d]. Follows that Remark 4.4, f is pseudo-differentiable at x0, and

    limh0[(f(x0+h)f(x))(α(x0+h)α(x))]=fα(x0).

    For the generator g of , we have

    limh0|g[(f(x0+h)f(x))(α(x0+h)α(x))]g(fα(x0))|=0.

    It follows that

    limh0|g(f(x0+h))g(f(x0))g((α(x0+h))g((α(x0))g(fα(x0))|=0.

    That is to say,

    limh0|(g(f(x0+h))g(f(x0)))(g((α(x0+h))g((α(x0)))g(fα(x0))|=0.

    By the continuity of g(α(x)), we have

    limh0|g(f(x0+h))g(f(x0))|=0.

    It implies

    limh0f(x0+h)=f(x0).

    Hence, f is pseudo-continuous on [c,d].

    Theorem 4.2. Let be continuous and strictly increasing, α be a nondecreasing function, and f1 and f2 be two αpseudo-differentiable functions on [c,d]. Then the following statements hold for any λ,λ1,λ2[a,b].

    1) λ1f1λ2f2 is αpseudo-differentiable on [c,d] and

    dα(λ1f1λ2f2)dx=λ1dαf1dxλ2dαf2dx;

    2) f1f2 is αpseudo-differentiable on [c,d] and

    dα(f1f2)dx=dαf1dxf2f1dαf2dx;

    3) dαλdx=0.

    Proof. 1) Since f1 and f2 are αpseudo-differentiable, we have

    dα(λ1f1λ2f2)dx=limh0{[(λ1f1(x+h)λ2f2(x+h))(λ1f1(x)λ2f2(x))][α(x+h)α(x)]}=limh0{[λ1(f1(x+h)f1(x))λ2(f2(x+h)f2(x))][α(x+h)α(x)]}=λ1limh0[(f1(x+h)f1(x))(α(x+h)α(x)]λ2limh0[(f2(x+h)f2(x))(α(x+h)α(x)]=λ1dαf1dxλ2dαf2dx.

    According to Definition 4.1, λ1f1λ2f2 is αpseudo-differentiable on [c,d] and

    d(λ1f1λ2f2)dx=λ1dαf1dxλ2dαf2dx.

    2) Since f1 and f2 are αpseudo-differentiable, we have

    dα(f1f2)dx=limh0{[f1(x+h)f2(x+h)f1(x)f2(x)][α(x+h)α(x)]}=limh0{[f1(x+h)f2(x+h)f1(x)f2(x)f1(x)f2(x+h)f1(x)f2(x+h)][α(x+h)α(x)]}=limh0{[(f1(x+h)f1(x))f2(x+h)f1(x)(f2(x+h)f2(x))][α(x+h)α(x)]}=limh0[(f1(x+h)f1(x))(α(x+h)α(x))]f2(x)f1(x)limh0[(f2(x+h)f2(x))(α(x+h)α(x))]=dαf1dxf2f1dαf2dx.

    According to Definition 4.1, f1f2 is αpseudo-differentiable on [c,d] and

    dα(f1f2)dx=dαf1dxf2f1dαf2dx.

    3) dαλdx=limh0(λλ)(α(x+h)α(x))=0.

    Theorem 4.3. Let be strictly increasing and continuous, α be a nondecreasing function, and f:[c,d][a,b]. Let f be αpseudo-differentiable and the generator g(α) of be differentiable on [a,b]. Then

    dαf(x)dx=g1(dg(f(x))dg(α(x))).

    Proof.

    dαf(x)dx=limh0[(f(x+h)f(x))(α(x+h)α(x))]=limh0g1(g(f(x+h))g(f(x))g(α(x+h))g(α(x)))=g1(limh0g(f(x+h))g(f(x))hhg(α(x+h))g(α(x)))=g1([g(f)]/g(α(x)))=g1(dg(f(x))dg(α(x))).

    Remark 4.6. Obviously, if α(x)=x, f:[c,d][a,b] be pseudo-differentiable[12], and the generator g of be differentiable on [a,b]. Then

    df(x)dx=g1(dg(f(x))dg(x)).

    Remark 4.7. However, in [9,15,16], the g-derivative is directly defined as follows:

    df(x)dx=g1(dg(f(x))dx).

    However, it may be more natural to define the integral following the method proposed in this research according to Definition 4.1 and further obtain Theorem 4.2.

    Definition 4.2. Let f:[c,d][a,b], if f has the (n1)-th αpseudo-derivative, then the (n)-th αpseudo-derivative of f (if it exists) is defined as

    d(n)αfdxn=ddx(d(n1)αfdxn1),n1.

    Theorem 4.4. Let f:[c,d][a,b], be strictly increasing and continuous, and α be a nondecreasing function. If f(n)-th αpseudo-differentiable on [c,d] and the generator g(α) of be (n)-th differentiable on [a,b]. Then

    d(n)αf(x)xn=g1(dnαg(f(x))d[g(α(x))]n),n0.

    Proof. For n=0, the theorem is obviously true.

    Assume that the theorem is true for n1, i.e.,

    d(n1)αf(x)xn1=g1(dn1αg(f(x))d[g(α(x))]n1),

    then

    d(n)αf(x)xn=dαdx(d(n1)fdxn1)=dαdx(g1(dn1g(f(x))d[g(α(x))]n1))=g1(ddg(α(x))(dn1g(f(x))d[g(α(x))]n1))=g1(dnαg(f(x))d[g(α(x))]n).

    By mathematical induction, the proof is completed.

    Definition 5.1. Let be strictly increasing and continuous, α be a nondecreasing function, and f(x) be a bounded function defined on [c,d]. If for any partition of [c,d]

    P:c=x0<x1<x2<<xn=d,

    denote λ=max1in(xixi1), and if for any ξi[xi1,xi], the limit

    limλ0ni=1f(ξi)(α(xi)α(xi1))

    exists, then f(x) is said to be pseudo-Stieltjes integrable on [c,d], and its pseudo-Stieltjes integral value equals to the limit value, denoted by (,,α)[c,d]f(x)dα.

    Theorem 5.1. Let be strictly increasing and continuous, α be a nondecreasing function, and f1:[c,d][a,b],f2:[c,d][a,b]. If f1 and f2 are pseudo-Stieltjes integrable on [c,d]. Then for λ1,λ2[a,b],λ1f1λ2f2 is also generalized integrable on [c,d] and

    (,,α)[c,d](λ1f1λ2f2)dα=λ1(,,α)[c,d]f1dαλ2(,,α)[c,d]f2dα.

    Proof. For any partition of [c,d]

    P:c=x0<x1<x2<<xn=d

    and for any ξi[xi1,xi], we have

    ni=1(λ1f1(ξi)λ2f2(ξi))(α(xi)α(xi1))=ni=1(λ1f1(ξi)(α(xi)α(xi1))λ2f2(ξi)(α(xi)α(xi1)))=λ1(ni=1f1(ξi)(α(xi)α(xi1)))λ2(ni=1f2(ξi)(α(xi)α(xi1))).

    Let λ=max1in(xixi1)0, since f1 and f2 are pseudo-Stieltjes integrable on [c,d], we have

    limλ0ni=1(λ1f1(ξi)λ2f2(ξi))(α(xi)α(xi1))=λ1(limλ0ni=1f1(ξi)(α(xi)α(xi1)))λ2(limλ0ni=1f2(ξi)(α(xi)α(xi1)))=λ1(,,α)[c,d]f1dαλ2(,,α)[c,d]f2dα.

    According to Definition 5.1, λ1f1λ2f2 is pseudo-Stieltjes integrable on [c,d] and

    (,,α)[c,d](λ1f1λ2f2)dx=λ1(,,α)[c,d]f1dαλ2(,,α)[c,d]f2dα.

    Theorem 5.2. Let be strictly increasing and continuous, α be a nondecreasing function, and f(x) pseudo-Stieltjes integrable on [c,d]. Then

    (,,α)[c,d]fdα=g1(dcg(f(x))dg(α(x))),

    when the right part is meaningful.

    Proof.

    (,,α)[c,d]fdα=limλ0ni=1f(ξi)(α(xi)α(xi1))=limλ0[f(ξ1)(α(x1)α(x0))f(ξ2)(α(x2)α(x1))f(ξn)(α(xn)α(xn1))]=limλ0{g1[g(f(ξ1))g(α(x1)α(x0))]g1[g(f(ξ2))g(α(x2)α(x1))]g1[g(f(ξn))g(α(xn)α(xn1))]}=limλ0g1[g(f(ξ1))g(α(x1)α(x0))+g(f(ξ2))g(α(x2)α(x1))++g(f(ξn))g(α(xn)α(xn1))]=g1[limλ0(g(f(ξ1))(g(α(x1))g(α(x0)))+g(f(ξ2))(g(α(x2))g(α(x1)))++g(f(ξn))(g(α(xn))g(α(xn1))))]=g1(dcg(f(x))dg(α(x))),

    where λ=max1in|g(α(xi))g(α(xi1))|.

    Remark 5.1. For 1in, we have

    xixi10d(xi,xi1)0|g(xi)g(xi1)|0|g(α(xi))g(α(xi1))|0,

    therefore

    max1in(xixi1)0max1in|g(α(xi))g(α(xi1))|0,

    namely,

    λ0λ0.

    Remark 5.2. In [9,15,16], the g-integral is directly defined as follows:

    (,)[c,d]fdx=g1(dcg(f)dx).

    However, it may be more natural to define the g-integral the way proposed in Definition 5.1 in this research and obtain Theorem 5.2. In addition, the definition of integral presented in this research is consistent with the definition of integral regarding a decomposable measure m proposed in [1,2], i.e., (,)[c,d]fdm=g1(dcg(f)dgm).

    Theorem 5.3. Let be continuous and strictly increasing, α be a nondecreasing function, and f be continuous on [c,d]. Then we have

    dαdx((,,α)[c,x]f(t)dα)=f(x)

    for any x[c,d].

    Proof. From Theorems 4.2 and 5.2, we have for any x[c,d]

    dαdx((,,α)[c,x]f(t)dα)=g1(dg((,,α)[c,x]f(t)dα)dg(α(x)))=g1(d(xcg(f(t))dg(α(t)))dg(α(x)))=g1(g(f(x)))=f(x),

    where the fundamental theorems of calculus are used.

    Theorem 5.4. (Newton–Leibniz formula) Let be strictly increasing and continuous, and α be a nondecreasing function. If dαfdt is continuous on [c,d]. Then we have for any x[c,d]

    (,,α)[c,x]dαfdtdα=f(α(x))f(α(c))

    for any x[c,d].

    Proof. According to Theorems 4.2 and 5.2, for any x[c,d], we have

    (,,α))[c,x]dαf(t)dtdα=g1(xcg(dαf(t)dt)dg(α(t)))=g1(xcdg(f(t))dg(α(t))dg(α(t)))=g1(xcdg(f(t)))=g1(g(f(x))g(f(c)))=f(x)f(c).

    Compared to the case where α is discontinuous, due to the application of Theorem 4.1 in this article, the involved α is not only continuous but also differentiable. Our example demonstrates that the proposed derivative and integral applications have certain practical value in a sense, as they can transform complex nonlinear calculus equations into simple calculus equations containing only newly defined derivatives and integrals.

    Example 6.1. Considering the following first-order ordinary differential equation:

    lny+y2xs(s1)lnxlns=0, (6.1)

    where s[0,+).

    Let α(x)=xs, and construct xy=ln(ex+ey),xy=x+y, and g(x)=ex. Capitalize Eq (6.1) can have the following form:

    dαydx=xs.

    Pseudo-Stieltjes integrates the preceding equation correspondingly, and we have

    y=(,,α)xsdxC1=g1(g(xs)dg(xs)+g(C1))=ln(e2xs2+C),

    where C=eC1. That is to say, an ordinary differential equation (6.1) has a solution y=ln(e2xs2+C).

    Example 6.2. Consider the following ordinary differential equation:

    ((y2))1py11px(s+21p)=0. (6.2)

    Where p>0 and s[0,+).

    Let α(x)=x2. By constructing xy=(xp+yp)1p,xy=xy, then g(x)=xp, and Eq (6.2) has the following form:

    dαydx=xs.

    Pseudo-Stieltjes integrates the preceding equation correspondingly, and we have

    y=(,,α)xsdxC1=g1(g(xs)dg(x2)+g(C1))=(2s+2xp(s+2)+C)1/p.

    That is to say ordinary differential equation (6.2) has solution y=(2s+2xp(s+2)+C)1/p.

    Example 6.3. Consider the following differential equation:

    λ(1+λ)yy2x(1+λ)2x22x(1+λ)x2=0. (6.3)

    where λ>0.

    Let α(x)=x2,xy=ln((1+λ)x+(1+λ)y1))ln(1+λ). Then g(x)=(1+λ)x1λ, λ>0, and Eq (6.3) can be represented as follows:

    dαydx=x2.

    Pseudo-Stieltjes integrates the preceding equation correspondingly, and we have

    y=(,,α)x2dxC1=g1(g(x2)dg(x2)+g(C1))=g1(12g2(x2)+g(C1))=ln(((1+λ)x21)2/2λ+C)ln(1+λ).

    That is to say ordinary differential equation (6.3) has solution y=ln(((1+λ)x21)2/2λ+C)ln(1+λ).

    Example 6.4. Considering the following first-order nonlinear integro-differential equation:

    yey=sxs1exs+1+sxs1exsx0sxs1exseydx (6.4)

    where s[0,+).

    Let α(x)=xs, and construct xy=ln(ex+ey),xy=x+y, and g(x)=ex. Capitalize Eq (6.4) can have the following form:

    dαydx=1(,,α)[0,x]ydα.

    By definitions of αpseudo-derivative and pseudo-Stieltjes integral, we have y=exs. It is easy to calculate that

    dαexsdx=exs,
    1(,,α)[0,x]exsdα=exs.

    That is to say, the integro-differential equation (6.4) has solution y=exs.

    We present the concepts of the αpseudo-differentiability and the pseudo-Stieltjes integrability, and also present the characteristic theorems and the transformation theorems. According to the transformation theorem between the αpseudo-derivative and the classical derivative and the transformation theorem between the pseudo-Stieltjes integration and the classical Stieltjes integration, the calculation methods and formulas for αpseudo-derivative and pseudo-Stieltjes integration are explored. Further, Newton–Leibniz formula is also obtained. At last, the obtained results provide a framework for analyzing nonlinear differential equations.

    The authors declare they have not used Artificial Intelligence (AI) tools in the creation of this article.

    This work is supported by the Key project of Education Science in 2022 of the 14th Five-Year Plan of Gansu Province in China (GS[2022]GHBZ183).

    The authors declare there is no conflicts of interest.



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