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Research article Special Issues

A Data-Driven Intelligent Management Scheme for Digital Industrial Aquaculture based on Multi-object Deep Neural Network

  • With the development of intelligent aquaculture, the aquaculture industry is gradually switching from traditional crude farming to an intelligent industrial model. Current aquaculture management mainly relies on manual observation, which cannot comprehensively perceive fish living conditions and water quality monitoring. Based on the current situation, this paper proposes a data-driven intelligent management scheme for digital industrial aquaculture based on multi-object deep neural network (Mo-DIA). Mo-IDA mainly includes two aspects of fish state management and environmental state management. In fish state management, the double hidden layer BP neural network is used to build a multi-objective prediction model, which can effectively predict the fish weight, oxygen consumption and feeding amount. In environmental state management, a multi-objective prediction model based on LSTM neural network was constructed using the temporal correlation of water quality data series collection to predict eight water quality attributes. Finally, extensive experiments were conducted on real datasets and the evaluation results well demonstrated the effectiveness and accuracy of the Mo-IDA proposed in this paper.

    Citation: Yueming Zhou, Junchao Yang, Amr Tolba, Fayez Alqahtani, Xin Qi, Yu Shen. A Data-Driven Intelligent Management Scheme for Digital Industrial Aquaculture based on Multi-object Deep Neural Network[J]. Mathematical Biosciences and Engineering, 2023, 20(6): 10428-10443. doi: 10.3934/mbe.2023458

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  • With the development of intelligent aquaculture, the aquaculture industry is gradually switching from traditional crude farming to an intelligent industrial model. Current aquaculture management mainly relies on manual observation, which cannot comprehensively perceive fish living conditions and water quality monitoring. Based on the current situation, this paper proposes a data-driven intelligent management scheme for digital industrial aquaculture based on multi-object deep neural network (Mo-DIA). Mo-IDA mainly includes two aspects of fish state management and environmental state management. In fish state management, the double hidden layer BP neural network is used to build a multi-objective prediction model, which can effectively predict the fish weight, oxygen consumption and feeding amount. In environmental state management, a multi-objective prediction model based on LSTM neural network was constructed using the temporal correlation of water quality data series collection to predict eight water quality attributes. Finally, extensive experiments were conducted on real datasets and the evaluation results well demonstrated the effectiveness and accuracy of the Mo-IDA proposed in this paper.



    Differential equations (DEs) are a powerful tool that can be used to model and understand a wide variety of systems. It plays a crucial role in solving real-world problems in many fields; see [1,2]. During the 20th century, the rapid progress of science resulted in applications across biology, population studies, chemistry, medicine, social sciences, genetic engineering, economics, and more. Many of the phenomena that appear in these fields are modeled using delay differential equations (DDEs). This led to many disciplines being elevated, and significant discoveries were made with this type of mathematical modeling.

    The DEs that have the delayed argument in the highest derivative of the state variable are known as neutral differential equations (NDEs). NDEs have an extremely diverse historical background. In reality, they have a wide range of uses in natural science, as in the process of chemical reactions. Time-delayed transitions may be seen in chemical reaction kinetics, especially in complex processes. These kinetics are described by NDDEs; see [3]. The presence of the delay term in NDDs, which expresses the need for historical information, expands the solution space, and complicates numerical methods. This led to studying the qualitative behavior of these equations because finding closed solutions is often impossible due to their complexity. In recent years, there has been significant research focused on the asymptotic behavior of solutions to DEs; see [4,5,6]. By examining the asymptotic properties, researchers can forecast the future behavior of systems modeled by DEs from simple physical processes to complicated biological and economic systems. This part of the study supports the practical use of theoretical models in a variety of scientific and engineering domains in addition to aiding in their refinement; see [7]. In recent years, one of the most significant branches of qualitative theory has been oscillation theory; it was introduced in a pioneering paper of Fite; see [8,9,10]. This theory answers a lot of questions regarding the oscillatory behavior and asymptotic properties of DE solutions.

    Finding adequate criteria to guarantee that all DE solutions oscillate while eliminating positive solutions is one of the main objectives of oscillation theory; see [11,12,13]. One of the main characteristics of oscillation theory is the variety of mathematical and analytical approaches it uses; see [14,15,16]. Over the past decade, there has been significant progress in the study of the oscillatory properties of DEs; see [17,18,19]. This interest stems from the fact that comprehending mathematical models and the phenomena they describe is made easier by examining the oscillatory and asymptotic behavior of these models; also, see [20,21,22]. Moreover, oscillation theory is abundant with fascinating theoretical problems that require the tools of mathematical analysis. In recent decades, oscillation theory has attracted the attention of many researchers, resulting in numerous books and hundreds of studies on several kinds of functional DEs; see [23,24,25]. Due to the critical roles of NDDE in various fields, such as civil engineering and application-oriented research that can support research with the potential to develop the ship-building, airplane, and rocket industries, the study of the oscillatory properties of these equations has advanced significantly. This makes them extremely important practically in addition to their abundance of interesting analytical problems. For more recent results regarding the oscillatory properties of NDDE solutions; see [26,27].

    In this paper, we examine the oscillatory behavior of solutions to the neutral equation

    (r(u)(Ω(u)))+q(u)x(θ(u))=0,uu0, (1.1)

    where Ω(u)=x(u) + p(u)x(ζ(u)). Here, we accomplish our important results by considering the next conditions:

    (H1) p,ζC4([u0,)), 0<p(u)<p0<, ζ(u)u, limuζ(u)=, and ζ(u) invertible;

    (H2) θ, qC([u0,)), q(u)>0, θ(u)u, limuθ(u)=;

    (H3) r(u)C1([u0,)), r(u)>0 and satisfy

    π0(u)=uu01r(ξ)dξ,as u. (1.2)

    By a solution of (1.1), we mean a function xC3([ux,)) for uxu0, which has the properties r(Ω)C1([ux,)), and satisfies (1.1) on [ux,). We only take into account the solutions x of (1.1) that satisfy Sup{|x(u)|:uu}>0 for all u ux.

    Definition 1.1. [22] A solution of (1.1) is called oscillatory if it has arbitrarily large zeros on [u0,); otherwise, it is called non-oscillatory. Equation (1.1) is said to be oscillatory if all its solutions are oscillatory.

    The majority of studies have focused on establishing a condition that assures excluding increasing positive solutions using a variety of techniques. The oscillations of higher-order NDE have been investigated by many researchers, and many techniques have been presented for establishing oscillatory criteria for these equations. A lot of research has been conducted regarding the canonical condition; see [28,29,30]. We will now outline some of the results from previous papers that have contributed to an important part in advancing research on fourth-order NDEs, particularly Moaaz et al. in [31] established criteria for oscillation of solutions of NDDE

    (r(u)((Ω(u)))α)+q(u)xβ(θ(u))=0, (1.3)

    by applying two Riccati substitutions in each case of the derivatives of the corresponding function Ω. This criteria guarantees that all solutions oscillate under the canonical condition, where βα and 0p(u)<p0<.

    In [32], Bazighifan et al. obtained the Philos type the oscillation criteria to ensure oscillation of solutions of the equation

    (r(u)((Ω(u)))α)+ki=1qi(u)xβ(θi(u))=0,

    and by employing the well-known Riccati transformation, they established an asymptotic criterion that enhances and supplements previous results, where 0p(u)<p0<1.

    To comprehend the asymptotic and oscillatory behavior of solutions to NDEs, it is essential to understand the relationship between the solution x and its associated function Ω. Through this relationship, many researchers discovered several criteria that simplified and enhanced their earlier results. Here, we will present some of the relationships identified from previous research. For p(u)=p0, the conventional relationship:

    x>(1p0)Ω, (1.4)

    is generally employed for second-order equations under the condition (1.2), while in [33,34] they applied the following relationship

    x>(1p0π(ζ(u))π(u))Ω(u), (1.5)

    in the non-canonical case. Moaaz et al. [35] in the canonical condition, they obtained some oscillation criteria for the next form of the equation

    (r(u)(Ω(u))α)+q(u)xβ(ζ(u))=0, (1.6)

    by optimizing the relationship (1.4), where α, βQ+odd. They provided for p0>1 the following relationship

    x(u)>Ω(u)m/2i=11p[2i1]0(11p0π(ζ[2i](u))π(ζ[2i1](u))),

    for m is even, while for p0<1 they provided the relationship

    x(u)>Ω(u)(1p0)(m1)/2i=0p[2i]0(1p0π(ζ[2i+1](u))π(u)),

    for m is odd. In [36], Hassan et al. enhanced the relationship (1.5) by the next one

    x(u)>Ω(u)(m1)/2i=0p2i0(1p0π(ζ[2i+1](u))π[2i](u)),

    for m an odd integer, when examined, the oscillatory properties of the equation

    (r(u)(Ω(u))α)+q(u)xα(ζi(u))=0,

    where αQ+odd. In [37], Moaaz et al. improved the relationship (1.4) to the following

    x(u)>(1p0)Ω(u)(m1)/2i=0p2i0(ζ[2i+1](u)u1uu1)2,

    and they obtained a criterion to ensure that there are no Kneser solutions of the equation of third-order NDDE

    (r(u)(Ω(u))α)+q(u)xα(θ(u))=0, (1.7)

    by comparing (1.7) with a first-order DDE (comparison technique).

    Moaaz and Alnafisah [38] examined the oscillatory behavior of solutions to DE

    (r2(u)(r1(u)[x(u)+p(u)x(ζ(u))]))+q(u)x(θ(u))=0,

    and derived inequalities and relationships, by enhancing the relationship (1.4) considering the two cases p0>1 and p0<1 without restrictions on the delay functions. Then, using an improved approach, they obtained new monotonic properties for the positive solutions.

    Recently, Bohner et al. [39], by considering two cases ζu and ζu, studied the NDDE

    (r(u)(Ω(u))α)+q(u)xα(θ(u))=0,

    and improved the relationship (1.5) by getting the next one

    x(u)>Ω(u)(1p0)(1+Hk(u)),

    where

    Hk(u)={0for k=0,ki=12i1j=0p(θj(u))for θ(u)u,ki=1π(ζ[2i](u))π(u)2i1j=0p(θj(u))for θ(u)u,

    where kN.

    In addition, recently, for higher-order some research improved the relationship of (1.4). Among these research, Alnafisah et al. [40] presented the following relationship:

    x(u)>ki=0(2ij=0p(ζ[α](u)))[1p(ζ[2i](u))1](ζ[2i](u)u)(n2)/ϵΩ(u),

    by investigating the asymptotic and oscillatory behaviors of solutions to the NDEs

    (r(u)(Ω(n1)(u))α)+q(u)xα(θ(u))=0,

    where n4 and α is the ratio of two positive odd integers.

    The key to our contribution to this work, We categorize the positive solutions to the studied equation based on the signs of its derivatives. After that, we obtain new monotonic properties in certain cases of positive solutions. Based on these properties, we discover the relationship between the solution and its corresponding function Ω of our Eq (1.1) in the two cases p0>1 and p0<1. Additionally, we use these new relationships to exclude positive solutions by obtaining some oscillation criteria. The results are illustrated by an example. These results obtained extend and improve upon previous findings in the literature, providing a more comprehensive framework for analyzing these equations.

    The paper is organized as follows: In Section 2, we present the fundamental notation and definitions that will be used in our proofs. In Section 3, we present a series of lemmas that enhance the monotonicity properties of nonoscillatory solutions. In Section 4, we establish oscillation criteria for (1.1) as our main result. Lastly, we illustrate our results with an example. In conclusion, briefly discuss what we have done in this research and the results we have obtained.

    In this section, we will display the following constants and functions that are used in this paper. The class of all positive non-oscillatory solutions to (1.1) is denoted by the symbol S+.

    Notation 2.1. For any integer k0. In order to present the results, we will need the following notation:

    Y[0](u)=u,Y[i](u)=Y(Y[i1](u))andY[i](u)=Y1(Y[i+1](u)),

    for i=1,2,....

    Lemma 2.1. [41] Let ϝCκ([u0,),R+) and ϝ(κ) be of constant sign, eventually. Then there are a uxu0 and a jZ, 0 jκ, with κ+j even for ϝ(κ)(u)0, or κ+j odd for ϝ(κ)(u)0 such that

    j0impliesthatϝ(l)(u)>0foruux,l=0,1,.......j1.

    And jκ1 implies that (1)j+lϝ(l)(u)>0 for uux, l=j,j+1,.......κ1.

    Lemma 2.2. [42] Assume ϝ is stated in Lemma 2.1. If ϝ(κ1)(u)ϝ(κ)(u)0, eventually, and limuϝ(u)0, then, there exists uk[u1,) for every ϵ(0,1), such that

    ϝ(u)ϵ(κ1)!uκ1|ϝ(κ1)(u)|,foru[uk,).

    Lemma 2.3. [43] If the Eq (1.1) has a solution x that is eventually positive, then

    x(u)>ki=0(2ij=0p(ζ[j](u))){Ω(ζ[2i](u))p(ζ[2i](u))Ω(ζ[2i+1](u))}, (2.1)

    for k0.

    Lemma 2.4. [41] If hCκ([u0,),R+), h(i)(u)>0 for i=0,1,2,...,κ, and h(κ+1)(u)0, then eventually,

    h(u)1κuh(u).

    We will introduce the next lemma that describes the behavior of positive solutions.

    Lemma 3.1. Assume that xS+. Then, eventually, we have two cases for Ω eventually:

    Case (1)

    Ω(u)>0,Ω(u)>0,Ω(u)>0,Ω(u)>0,Ω(4)(u)<0,

    Case (2)

    Ω(u)>0,Ω(u)>0,Ω(u)<0,Ω(u)>0.

    Proof. Suppose that x is a positive solution of (1.1); we obtain Ω(4)(u)0 from (1.1). From the Lemma 2.1 Cases (1) and (2), and their derivatives, are obtained.

    Notation 3.1. We will refer to the symbol 1 as the class of all eventually positive solutions of Eq (1.1) whose corresponding function satisfies Case (1) and 2 as the class of all eventually positive solutions of Eq (1.1) whose corresponding function satisfies Case (2). Moreover, we will use the following notation throughout the proof of our lemmas.

    Notation 3.2. For any positive integer k, we define the functions

    πi(u)=uu0πi1(ξ)dξ,i=1,2,

    and

    ρ1(u,k)=ki=0(2ij=0p(ζ[j](u)))[1p(ζ[2i](u))1]π2(ζ[2i](u))π2(u);
    ˆρ1(u;k)=ki=0(2ij=0p(ζ[j](u)))[1p(ζ[2i](u))1](ζ[2i](u)u)1/ϵ;
    ρ2(u,k)=ki=1(2i1j=01p(ζ[j](u)))[(ζ[2i+1](u))3(ζ[2i](u))31p(ζ[2i](u))];
    ˆρ2(u;k)=ki=1(2i1j=01p(ζ[j](u)))[(ζ[2i+1](u))1/ϵ(ζ[2i](u))1/ϵ1p(ζ[2i](u))],

    and

    R(u;k)={ρ1(u,k)forx1,p<1,ˆρ1(u;k)forx2,p<1.
    ˜R(u,k)={ρ2(u,k)forx1,p>1ζ(u),ˆρ2(u;k)forx2,p>1ζ(u).

    For every k N0, we assume that

    βk=liminfur(u)π2(θ(u))π0(u)q(u)R(θ(u);k).

    It is clear that βk is positive. Our reasoning will usually rely on the obvious truth that a u1u0 is large enough such that for fixed but arbitrary βk(0,βk), we have

    βkr(u)π2(θ(u))π0(u)q(u)R(θ(u);k), (3.1)

    on [u1,).

    This section contains several lemmas regarding the asymptotic properties of solutions that are part of the classes 1 and 2.

    Lemma 3.2. Suppose that xS+. If Ω(u)>0 eventually, then,

    (I) Ω(u)13uΩ(u).

    However, if Ω(u)<0, eventually, then

    (II) Ω(u)ϵuΩ(u), for ϵ(0,1).

    Proof. Suppose that x is a positive solution of (1.1) and for uu1, Ω(u)>0. By applying Lemma 2.4 with F=Ω and κ3, we obtain

    Ω(u)13uΩ(u),

    which gives (Ⅰ). Next, for uu1, Ω(u)<0. Then, u2>u1 exists, such that

    Ω(u)uu1Ω(s)ds(uu1)Ω(u)ϵuΩ(u),

    which gives (Ⅱ), for all ϵ(0,1) and uu2.

    Lemma 3.3. Let β0>0 and x1. Then, for u large enough,

    (A1) limur(u)Ω(u)=limuΩ(k)(u)/π2k(u)=0, k=0,1,2;

    (A2) Ω(u)/π0(u) is decreasing;

    (A3) Ω(u)/π1(u) is decreasing;

    (A4) Ω(u)/π2(u) is decreasing.

    Proof. Assume that x1. From the definition of Ω

    Ω(u)=x(u)+p(u)x(ζ(u)),

    we have

    x(u)=Ω(u)p(u)x(ζ(u)).

    Since Ω(u)>x(u), Ω(u)>0, and ζ(u)u, we have

    x(u)Ω(u)p(u)Ω(ζ(u))(1p(u))Ω(u), (3.2)

    which with (1.1) we have

    (r(u)Ω(u))+q(u)(1p(θ(u)))Ω(θ(u))0. (3.3)

    (A1): Since we have Ω(u) as a non-increasing and positive function, then

    limur(u)Ω(u)=0.

    Assume >0; then r(u)Ω(u)>0, by integrating three times

    Ω(u)π2(u),uu2u1. (3.4)

    From (3.1) with R(u;0)=(1p(u)) and (3.3) we obtain

    (r(u)Ω(u))+β0r(u)π2(θ(u))π0(u)Ω(θ(u))0. (3.5)

    From (3.4) into (3.5) we obtain

    (r(u)Ω(u))β0r(u)π0(u). (3.6)

    By integrating the above inequality from u3 to u, we obtain

    r(u3)Ω(u3)r(u)Ω(u)+β0lnπ0(u)π0(u3), (3.7)

    which is

    r(u3)Ω(u3)+β0lnπ0(u)π0(u3) as u,

    we find that there is a contradiction; therefore, =0. When x1, we have Ω(u), Ω(u) as u and Ω(u)/π0(u)0 as u such that Ω(u)>0 for k=2 is increasing, then by l'Hôpital's rule we find that (A1) satisfied.

    (A2): As r(u)Ω(u) is nonincreasing in 1, we are able to say that

    Ω(u)=Ω(u1)+uu1r(ξ)Ω(ξ)1r(ξ)dξΩ(u1)+r(u)Ω(u)(uu01r(ξ)dξu1u01r(ξ)dξ),

    that is

    Ω(u)Ω(u1)+r(u)Ω(u)(π0(u)u1u01r(ξ)dξ),>r(u)Ω(u)π0(u)+Ω(u1)r(u)Ω(u)u1u01r(ξ)dξ.

    Since Ω(u)>0, and r(u)Ω(u) converges to zero by (A1), there exists u4>u3 such that

    Ω(u1)r(u)Ω(u)u1u01r(ξ)dξ>0,

    so we obtain

    Ω(u)>r(u)Ω(u)π0(u).

    Therefore,

    (Ω(u)π0(u))=r(u)Ω(u)π0(u)Ω(u)r(u)π20(u)<0,uu4,

    then Ω(u)/π0 is decreasing; that proves (A2).

    (A3): From (A1) and (A2), we have Ω(u)/π0 decreasing and tending to zero, then we find

    Ω(u)=Ω(u4)+uu4Ω(ξ)π0(ξ)π0(ξ)dξΩ(u4)+Ω(u)π0(u)(uu0π0(ξ)u4u0π0(ξ))dξ,

    then we obtain

    Ω(u)Ω(u)π1(u)π0(u)+Ω(u4)Ω(u)π0(u)u4u0π0(ξ)dξ>Ω(u)π1(u)π0(u), uu5,

    for u5>u4. Hence

    (Ω(u)π1(u))=Ω(u)π1(u)π0(u)Ω(u)π21(u)<0,uu5,

    from that we arrive at (A3).

    (A4): Likewise, since Ω(u)/π1(u) is decreasing and tends to zero, we obtain

    Ω(u)=Ω(u5)+uu5Ω(ξ)π1(ξ)π1(ξ)dξΩ(u5)+Ω(u)π1(u)(uu0π1(ξ)u5u0π1(ξ)),

    then we arrive at

    Ω(u)Ω(u)π1(u)π2(u)+Ω(u5)Ω(u)π1(u)u5u0π1(ξ)dξ>Ω(u)π2(u)π1(u),uu6,

    for u6>u5, so

    (Ω(u)π2(u))=Ω(u)π2(u)π1(u)Ω(u)π22(u)<0, uu6,

    that proves (A4).

    Lemma 3.4. Let β0>0 and x1. Then, the corresponding function Ω eventually satisfies

    (r(u)Ω(u))+q(u)ρ1(θ(u);k)Ω(θ(u))0. (3.8)

    Proof. By using the facts that ζ[2i+1](u)ζ[2i](u)<u and Ω(u)>0, we find that

    Ω(ζ[2i](u))Ω(ζ[2i+1](u)).

    By utilizing (Ω(u)/π2(u))<0, we arrive at

    Ω(ζ[2i](u))π2(ζ[2i](u))Ω(u)π2(u),

    this leads to

    Ω(ζ[2i](u))π2(ζ[2i](u))π2(u)Ω(u).

    From this inequality in (2.1), we obtain

    x(u)Ω(u)ki=0(2ij=0p(ζ[j](u))){1p(ζ[2i](u))1}π2(ζ[2i](u))π2(u)>Ω(u)ρ1(u;k).

    From this and (1.1) we obtain

    (r(u)Ω(u))+q(u)ρ1(θ(u);k)Ω(θ(u))0.

    This is completes the proof.

    Lemma 3.5. Let βk>0 for some kN, and x1. Then, for u large enough, (A1)–(A4) (in Lemma 3.3) hold.

    Proof. Replacing inequality (3.5) in Lemma 3.2 (Ⅱ) and proceeding in the same manner, we obtain properties in (A1)–(A4).

    Lemma 3.6. Assume that βk>0 and x2. If Ω(u)<0, eventually, then

    (r(u)Ω(u))+q(u)ˆρ1(θ(u),k)Ω(θ(u))0. (3.9)

    Proof. Suppose that x2. For uu1, Ω(u)<0. From the facts Ω(u)>0 and (II), we obtain

    Ω(ζ[2i](u))Ω(ζ[2i+1](u)),

    and

    Ω(ζ[2i](u))(ζ[2i](u))1/ϵu1/ϵΩ(u).

    Then, Eq (2.1) becomes

    x(u)>Ω(u)ki=0(2ij=0p(ζ[j](u))){1p(ζ[2i](u))1}(ζ[2i](u)u)1/ϵ>ˆρ1(u;k)Ω(u),fork0,

    which together with (1.1) gives (3.9).

    Lemma 3.7. Let βk>0 for some k N and x1. Then,

    (r(u)Ω(u))+q(u)R(θ(u);k)Ω(θ(u))0. (3.10)

    Proof. Follows from Lemmas 3.3, 3.6, and 3.4 with (1.1) gives (3.10).

    Lemma 3.8. Let x12. Then there exists k such that

    x(u)>ki=1(2i1j=01p(ζ[j](u)))[Ω(ζ[2i+1](u))1p(ζ[2i](u))Ω(ζ[2i](u))]. (3.11)

    Proof. From the definition Ω(u), we find that

    p(ζ1(u))x(u)=Ω(ζ1(u))x(ζ1(u))=Ω(ζ1(u))1p(ζ[2](u))[Ω(ζ[2](u))x(ζ[2](u))],

    hence, we obtain

    p(ζ1(u))x(u)=Ω(ζ1(u))Ω(ζ[2](u))2i=21p(ζ[i](u))+3i=21p(ζ[i](u))[Ω(ζ[3](u))x(ζ[3](u))].

    After k steps we arrive at there exists a k such that

    x(u)>ki=1(2i1j=01p(ζ[j](u)))[Ω(ζ[2i+1](u))1p(ζ[2i](u))Ω(ζ[2i](u))]. (3.12)

    This concludes the proof.

    Lemma 3.9. Let x12. Then there exists k such that (1.1) implies,

    (r(u)Ω(u))+q(u)˜R(θ(u),k)Ω(θ(u))0. (3.13)

    When

    x(u)>˜R(u,k)Ω(u).

    Proof. Suppose that x1. From the fact that Ω(u)>0 and from (I) in Lemma 3.2, we obtain

    ζ[2i](u)ζ[2i+1](u),

    and

    Ω(ζ[2i+1](u))(ζ[2i+1](u))3(ζ[2i](u))3Ω(ζ[2i](u)).

    Then, from Lemma (3.8), Eq (3.11) becomes

    x(u)>ki=1(2i1j=01p(ζ[j](u)))[(ζ[2i+1](u))3(ζ[2i](u))3Ω(ζ[2i](u))1p(ζ[2i](u))Ω(ζ[2i](u))],

    in view of the fact that Ω(ζ[2i](u))Ω(u), the above inequality becomes

    x(u)>Ω(u)ki=1(2i1j=01p(ζ[j](u)))[(ζ[2i+1](u))3(ζ[2i](u))31p(ζ[2i](u))]>Ω(u)ρ2(u,k),

    which is together with (1.1), we obtain

    (r(u)Ω(u))+q(u)Ω(θ(u))ρ2(θ(u),k)0. (3.14)

    Suppose that x2. For uu1, Ω(u)<0. From the facts Ω(u)>0 and (II) in Lemma 3.2, we obtain

    ζ[2i](u)ζ[2i+1](u),

    and

    Ω(ζ[2i+1](u))(ζ[2i+1](u))1/ϵ(ζ[2i](u))1/ϵΩ(ζ[2i](u)).

    Then, from Lemma (3.8), Eq (3.11) becomes

    x(u)>Ω(u)ki=1(2i1j=01p(ζ[j](u)))[(ζ[2i+1](u))1/ϵ(ζ[2i](u))1/ϵ1p(ζ[2i](u))]>Ω(u)ˆρ2(u;k),

    which is together with (1.1), we obtain

    (r(u)Ω(u))+q(u)ˆρ2(θ(u);k)Ω(θ(u))0. (3.15)

    Followed by (3.14) and (3.15) gives (3.13).

    In the following theorem, we will obtain oscillation criteria for Eq (1.1) in the case where p0<1.

    For clarity, we will define that:

    M1(u)=q(u)ρ1(θ(u);k)(θ(u)u)3;
    D(u)=ϵ2u2r(u);
    M2(u)=u(1r(ξ)ξq(s)ˆρ1(θ(s),k)(θ(s)s)1/ϵds)dξ.

    Theorem 4.1. Assume that there is ϵ(0,1) and p0<1 such that, if x1, then

    liminfu1˜M1(u)uD(s)˜M21(s)ds14, (4.1)

    and, if x2, then

    liminfu1˜M2(u)u˜M22(u)ds14, (4.2)

    where

    ˜M1(u)=uM1(s)ds,˜M2(u)=uM2(s)ds.

    Then, Eq (1.1) is oscillatory.

    Proof. Assume the contrary, that (1.1) has a non-oscillatory solution x. Then, there exists a u1u0 such that x(u)>0, x(θ(u))>0, and x(ζ(u))>0 for uu1. There are two possible classes from Lemma 3.1: 1 and 2. Assume 1 holds. From (3.8) in Lemma 3.4 we have

    (r(u)Ω(u))+q(u)Ω(θ(u))ρ1(θ(u);k)0. (4.3)

    Introduce Riccati substitutions

    ω(u)=r(u)Ω(u)Ω(u),uu1. (4.4)

    We observe that ω(u)>0 for uu1; by differentiating (4.4), we obtain

    ω(u)=(r(u)(Ω(u)))Ω(u)r(u)Ω(u)Ω(u)Ω2(u),

    from (4.3) we obtain

    ω(u)q(u)ρ1(θ(u);k)Ω(θ(u))Ω(u)r(u)Ω(u)Ω(u)Ω2(u). (4.5)

    From (I) in Lemma 3.2, we have

    Ω(u)13uΩ(u),

    then we obtain

    Ω(θ(u))Ω(u)θ3(u)u3, (4.6)

    by applying Lemma 2.2 for every ϵ(0,1), we obtain

    Ω(u)ϵ2u2Ω(u). (4.7)

    Therefore, from (4.5)–(4.7), we obtain

    ω(u)q(u)ρ1(θ(u);k)(θ(u)u)3ϵ2r2(u)u2(Ω(u))2r(u)Ω2(u),

    which is

    ω(u)+M1(u)+D(u)ω2(u)0.

    By integrating the above inequality, from u to, we obtain

    ω(u)uM1(s)ds+uD(s)ω2(s)ds,

    since ω>0 and ω<0, we have

    ω(u)˜M1(u)+uD(s)ω2(s)ds,

    which is

    ω(u)˜M1(u)1+1˜M1(u)u˜M21(s)D(s)(ω(s)˜M1(s))2ds. (4.8)

    Let λ=infuuω(u)/˜M1(u), then from (4.8) we notice

    λ1+(λ)2,

    which contradicts thatλ1 in (4.8).

    Assume 2 holds. From (3.9) in Lemma 3.6 we have

    (r(u)Ω(u))+q(u)ˆρ1(θ(u),k)Ω(θ(u))0. (4.9)

    By introducing Riccati substitutions

    ϖ(u)=Ω(u)Ω(u),uu1. (4.10)

    Integrating (4.9) from u to , we obtain

    r(u)Ω(u)uq(s)ˆρ1(θ(s),k)Ω(θ(s)). (4.11)

    From (II) in Lemma 3.2, we have

    Ω(u)ϵuΩ(u),

    hence

    Ω(θ(u))θ1/ϵ(u)u1/ϵΩ(u). (4.12)

    By using (4.12) in (4.11), we obtain

    r(u)Ω(u)Ω(u)uq(s)ˆρ1(θ(s),k)(θ(u)u)1/ϵds,

    by integrating again this inequality from u to , we obtain

    Ω(u)Ω(u)u(1r(ξ)ξq(s)ˆρ1(θ(s),k)(θ(s)s)1/ϵds)dξ, (4.13)

    by differentiating ϖ(u) in (4.10), we obtain

    ϖ(u)=Ω(u)Ω(u)(Ω(u)Ω(u))2ϖ2(u)u(1r(ξ)ξq(s)ˆρ1(θ(s),k)(θ(s)s)1/ϵds)dξ

    for uu2.

    Then, from (4.13) and (4.10), we obtain

    ϖ(u)+M2(u)+ϖ2(u)0,

    by integrating the above inequality from u to

    ϖ(u)uM2(s)ds+uϖ2(s)ds,

    from this we obtain

    ϖ(u)˜M2(u)1+1˜M2(u)u˜M22(s)(ϖ(s)˜M2(s))2ds.

    The rest of the proof is done as in the case 1. As a result, the theorem is established.

    The next theorem provides two oscillation conditions for Eq (1.1), which require that p0>1. These conditions are established by using a comparison method with a first-order equation, under the next constraints: g(u)θ(u).

    Theorem 4.2. Let p0>1 hold, if there exists ϵ(0,1) and k such that ρ2 and ˆρ2 are defined, such that the two first-order DDEs

    ψ(u)+ϵθ3(u)q(u)ρ2(θ(u);k)3!r(θ(u))ψ(θ(u))=0, (4.14)

    and when g(u)θ(u)

    ν(u)+ϵg(u)uE(ξ)r(ξ)ν(g(u))dξ=0, (4.15)

    where

    E(u)=uq(ξ)ˆρ2(θ(ξ);k)dξ,

    are oscillatory, then (1.1) is oscillatory.

    Proof. Assume the contrary, that (1.1) has a non-oscillatory solution x. Then, there exists a u1u0 such that x(u)>0, x(θ(u))>0, and x(ζ(u))>0 for uu1. There are two possible classes from Lemma 3.1: 1 and 2. Assume 1 holds. Then from Eq (3.14) in Lemma 3.9, we have

    (r(u)Ω(u))+q(u)Ω(θ(u))ρ2(θ(u),k)0. (4.16)

    From (4.7) and (4.16) we notice

    Ω(θ(u))ϵθ3(u)3!Ω(θ(u)),
    (r(u)Ω(u))+ϵθ3(u)r(θ(u))q(u)ρ2(θ(u),k)3!r(θ(u))Ω(θ(u))0.

    If we set ψ(u)=r(u)Ω(u), then ψ(u) is a positive solution of the first-order delay differential inequality

    ψ(u)+ϵθ3(u)q(u)ρ2(θ(u);k)3!r(θ(u))ψ(θ(u))0. (4.17)

    By [44, Theorem 1], the DDE (4.14) also has a positive solution; this leads to a contradiction.

    Assume 2 holds. Then from Eq (3.15) in Lemma 3.9, we have

    (r(u)Ω(u))+q(u)ˆρ2(θ(u),k)Ω(θ(u))0.

    Since g(u)θ(u), we find

    (r(u)Ω(u))+q(u)ˆρ2(θ(u),k)Ω(g(u))0, (4.18)

    by integrating (4.18) from u to we obtain

    r(u)Ω(u)+Ω(g(u))uq(ξ)ˆρ2(θ(ξ);k)dξ0, (4.19)

    which is

    Ω(u)+E(u)Ω(g(u))r(u)0. (4.20)

    Integrating (4.20) again from u to , we obtain

    Ω(u)+Ω(g(u))uE(ξ)r(ξ)dξ0. (4.21)

    From (II) in Lemma 3.2, we have

    Ω(u)ϵuΩ(u). (4.22)

    Let ν(u)=Ω(u) and by using (4.22) in (4.21), we find that ν(u) is a positive solution of the inequality

    ν(u)+ϵg(u)uE(ξ)r(ξ)ν(g(u))dξ0.

    But according to [44, Theorem 1], the condition (4.15) also has a positive solution ν(u); this leads to a contradiction.

    Corollary 4.1. If p0>1 such that

    liminfuuθ(u)q(ξ)ϵθ3(ξ)ρ2(θ(ξ);k)3!r(θ(ξ))dξ1e, (4.23)

    and

    liminfuug(u)ϵg(ϑ)(ϑE(ξ)r(ξ)dξ)dϑ1e. (4.24)

    Then (1.1) is oscillatory.

    Example 5.1. Let the fourth-order NDE

    ([x(u)+p0x(δu)])+q0u4x(βu)=0,u>1, (5.1)

    where p0, q0 are positive and δ, β(0,1). We note that ζ1(θ(u))=βuδ, r(u)=1. As a result, it is clear that ζ[2i](u)=δ2iu, ζ[2i+1](u)=δ2i+1u. Thus, for p0>1, we define

    ρ2(u;k)=[δ31p0]ki=1p2i0, ˆρ2(u;k)=[δ1/ϵ1p0]ki=1p2i0,

    for k>0. Then, the condition (4.23) in Corollary 4.1, becomes

    liminfuϵq0β36(δ31p0)ki=1p2i0uθ(u)1udξ1e,
    q06p0ϵeβ3(p0δ31)ln1βki=1p2i0. (5.2)

    Also, we have

    E(u)=q0[δ1/ϵ1p0](13u3)ki=1p2i0.

    Then, the condition (4.24) simplifies to

    ϵβq06(δ1/ϵ1p0)ki=1p2i0ln1β1e,

    which is

    q0>6ϵβe(δ1/ϵ1p0)ki=1p2i0ln1β. (5.3)

    Using Corollary 4.1, Eq (5.1) is oscillatory if

    q0>Max{6p0ϵeβ3(p0δ31)ln1βki=1p2i0,6ϵβe(δ1/ϵ1p0)ki=1p2i0ln1β}. (5.4)

    Example 5.2. Now, consider the fourth-order NDE

    ([x(u)+p0x(λu)])+q0u4x(μu)=0,u>1, (5.5)

    where p0, q0 are positive, λ, μ(0,1), r(u)=1, θ(u)=μu, q(u)=q0u4, p(u)=p0 and ζ(u)=λu.

    As a result, it is clear that π0(u)=u, π1(u)=u22, π2(u)=u36 and π2(ζ[2i](u))=(λ2iu)36, π0(ζ[2i](u))=λ2iu, then for p0<1, we define

    ρ1(u;k)=(1p01)ki=0p2i0λ6i, ˆρ1(u;k)=(1p01)ki=0(p2i0)(λ2i)1/ϵ;
    M1(u)=q0u4μ3(1p01)ki=0p2i0λ6i;
    M2(u)=q0(μ)1/ϵ(16u2)(1p01)ki=0(p2i0)(λ2i)1/ϵ;
    D(u)=ϵu22;
    ˜M1(u)=q0μ3(13u3)(1p01)ki=0p2i0λ6i;

    and

    ˜M2(u)=μ1/ϵq0(16u)(1p01)ki=0(p2i0)(λ2i)1/ϵ.

    By applying condition (4.1) in Theorem 4.1 when x1, we see

    liminfuϵ3u318(q0μ3(1p01)ki=0p2i0λ6i)u(1s4)ds14,

    this implies

    q0ϵ18μ3(1p01)ki=0p2i0λ6i14,

    which get all solutions of (5.5) are oscillatory if

    q0>184ϵμ3(1p01)ki=0p2i0λ6i. (5.6)

    By applying condition (4.2) in Theorem 4.1 when x2, we see

    q0μ1/ϵ6(1p01)ki=0(p2i0)(λ2i)1/ϵ14,

    which obtain all solutions of (5.5) are oscillatory if

    q0>64μ1/ϵ(1p01)ki=0(p2i0)(λ2i)1/ϵ. (5.7)

    Remark 5.1. Consider a special case of Eq (5.5) in the form

    ([x(u)+0.5x(0.9u)])+q0u4x(μu)=0,u>1, (5.8)

    when talking ϵ=p0=0.5. By using our conditions (5.6) and (5.7), then Eq (5.8) is oscillatory if

    q0>9(μ)33i=0(0.5)2i(0.9)6i. (5.9)

    By applying [32, Corollary 1], we see that

    S1(t)=kq0(1p0)μ3, S2(t)=kq0(1p0)μ4μt.

    Then, by choosing θ(t)=t4 and ϕ(t)=t2, we find that (5.8) is oscillatory if

    q0>Max{323μ3,4μ}. (5.10)

    While [4, Theorem 2.1] ensures the oscillation of Eq (5.8) if

    q0>9μ3, (5.11)

    Figures 1 illustrates the efficiency of the conditions (5.9) in studying the oscillation of the solutions of (5.8) for values of μ(0,1). Thus, our results present a better criterion for oscillation.

    Figure 1.  Comparison of the oscillation conditions of (5.8).

    Finding conditions that exclude each of the cases of the derivatives of the positive solution is often the foundation of the idea of establishing oscillation criteria for differential equations. This study examines the oscillatory behavior of fourth-order NDEs in the canonical case. The relationship between the solution and the corresponding function is vital to the oscillation theory of NDEs. Therefore, we improve these relationships by applying the modified monotonic properties of positive solutions. The conditions that we obtained using these relationships subsequently proved that there are no positive solutions in categories 1 and 2. Then, using the newly deduced relationships and properties, we employed a number of approaches by using different techniques, including recatti and comparison techniques, to develop a set of oscillation criteria. Additionally, we provided examples that illustrated and clarified the importance of our results; they were compared with some previous results in the literature. In the future, we can try to develop new conditions that ensure that every solution of (1.1) is oscillatory in the noncanonical case.

    H. Salah, C. Cesarano, and E. M. Elabbasy: Conceptualization, methodology, writing-original draft; M. Anis, S. S. Askar, and S. A. M. Alshamrani: Formal analysis, investigation, writing-review and editing. All authors have read and approved the final version of the manuscript for publication

    The authors present their appreciation to King Saud University for funding this research through Researchers Supporting Project number (RSPD2024R533), King Saud University, Riyadh, Saudi Arabia.

    The authors declare that there is no conflict of interest.



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