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Research article Special Issues

Fourth-order neutral dynamic equations oscillate on timescales with different arguments

  • The theory of neutral dynamic equations on timescales was based to unify the study of differential and difference equations. The article described several oscillating criteria that will be developed for fourth-order-neutral dynamic equations in the presence of various types of arguments on timescales. The goal was to establish all necessary conditions for the solutions of these models to be oscillatory. To construct observation values, ideas from [Y. Sui and Z. Han, Oscillation of second order neutral dynamic equations with deviating arguments on time scales, Adv. Differ. Equ., 10 (2018)] were used. The research seeked to provide sufficient criteria that ensured the oscillation of solutions to these complex dynamic equations using a technique Riccati transformations generalized, emphasizing their importance in the study of oscillatory processes within various scientific and engineering contexts.

    Citation: Abdelkader Moumen, Amin Benaissa Cherif, Fatima Zohra Ladrani, Keltoum Bouhali, Mohamed Bouye. Fourth-order neutral dynamic equations oscillate on timescales with different arguments[J]. AIMS Mathematics, 2024, 9(9): 24576-24589. doi: 10.3934/math.20241197

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  • The theory of neutral dynamic equations on timescales was based to unify the study of differential and difference equations. The article described several oscillating criteria that will be developed for fourth-order-neutral dynamic equations in the presence of various types of arguments on timescales. The goal was to establish all necessary conditions for the solutions of these models to be oscillatory. To construct observation values, ideas from [Y. Sui and Z. Han, Oscillation of second order neutral dynamic equations with deviating arguments on time scales, Adv. Differ. Equ., 10 (2018)] were used. The research seeked to provide sufficient criteria that ensured the oscillation of solutions to these complex dynamic equations using a technique Riccati transformations generalized, emphasizing their importance in the study of oscillatory processes within various scientific and engineering contexts.



    The study of neutral dynamic systems that describe oscillatory processes is currently one of the recognized areas of modern nonlinear dynamics. Analysis of the connectivity of systems based on their time series is one of the current areas of modern science. The classical approach for this purpose is the Granger causality method [1]. The main idea of this method is to build a predictive model and if data from the first time series helps to more accurately predict the behavior of the second, then the first system is considered to influence the second. For a review of various variants of the Granger causality method and similar measures, see [2]. Hilger [3] proposed the timescale hypothesis to connect, broaden and summarize ideas from discrete math, quantum analytics, and persistent math to self-assured timescale analytics. Bohner and Peterson's books on timescale, or measure chain [4,5], summarize and compile a lot of timescale mathematics. The applied hypothesis of dynamic conditions associated with the study of oscillatory miracles in creativity, normal behavior, and sociologies includes the hypothesis of movements as a key component. An essential component of the connected hypothesis of energetic conditions associated with the inquiry of oscillatory wonders in innovation, normal science and social science is the notion of oscillations, see [6,7,8]. In recent years, the evolution of different energy situations over timescales has attracted a lot of interest.

    Let tIt0=[t0,+)T. We explore the dynamic equation of the type

    (q(t)(φΔ3(t))ν)Δ+Φ(t,uν(υ(t)))=0, (1.1)

    where

    φ(t)=u(t)+p(t)u(τ(t)),

    and ν1 is the ratio of two odd positive integers. The Eq (1.1) will be studied under the following assumptions:

    (C1) The function ΦC(R,R) and there exists rC1(It0,[0,+)), such that

    Φ(t,u)ur(t),tIt0 and uR{0}.

    (C2) τ,υC1rd(It0,It0), pC1(It0,[0,+)) such that

    τ(t)tυ(t), τΔ(t)>0, pΔ(t)0, for all tIt0,

    and

    limt+τ(t)=limt+υ(t)=.

    By the solution of (1.1), we mean a nontrivial real-valued function

    φC4(ITφ,R), TφIs0.

    Note that solutions which disappear in a neighborhood of infinity will be excluded from our consideration. A solution φ of (1.1) is said to be oscillatory if it is neither eventually positive nor eventually negative, otherwise it is non-oscillatory. Equation (1.1) is called oscillatory if all its solutions are oscillatory. We are interested in this type of research because there has recently been an increasing interest in obtaining suitable conditions for the oscillation and non-oscillation of combinations of various energy conditions on timescales. See, for example, the references [9,10,11].

    J. Džurina et al. [9] studied oscillation for the second-order noncanonical delay differential equations

    (r(t)(y(t))γ)+q(t)yγ(τ(y))=0,      tIt0,

    under the condition

    t0r1/γ(t)dt<.

    There have been any recent occurrences on the oscillatory of (1.1). The purpose of this research is to offer a few ambiguous criteria for this condition. Zhang et al. [10] studied a class of second-order nonlinear delay dynamic equations of neutral theory that was investigated by

    [r(t)(φΔ(t))ν]Δ+q(t)Φ(u(δ(t)))=0,tIt0,

    where ν1 is a ratio of odd integers and φ(t)=u(t)p(t)u(τ(t)).

    Grace et al. [11] studied oscillation of fourth-order delay differential equations

    (r3(r2(r1y)))(t)+q(t)y(τ(y))=0,     tIt0,

    under the assumption

    t0r1i(t)dt<,     for i{1,2,3}.

    Some of the most common examples of calculus on timescales are differential calculus, difference calculus, and quantum calculus. Timescale dynamical equations have enormous potential for applications such as population dynamics. It can model insect populations that persist during a season, die in winter while their eggs are incubating or dormant, and then hatch in a new season, giving rise to a nonoverlapping population. There are applications of dynamical equations on timescales in quantum mechanics, electrical engineering, neural networks, heat transfer, and combinatorics. Notice that the model of problem (1.1) is more general than all the problems considered before. For example, if we consider problem (1), T=R, and Φ(t,u(t))=q(t)u(t), we obtain the problem which is considered by a recent article by J. Džurina et al. in [9]; it discusses several possible applications.

    In this section, we establish some criteria that guarantee that u of (1.1) oscillates on It0. Before stating the main results, we begin with the following lemma.

    Lemma 2.1. [12] Assume that u is an eventually positive solution of (1.1). Then, there are only the following three possible scenarios for It1, where t1It0 is sufficiently large:

    (1) φΔ3(t)0, φΔ2(t)0, φΔ(t)0,

    (2) φΔ3(t)0, φΔ2(t)0, φΔ(t)0,

    (3) φΔ3(t)0, φΔ2(t)0, φΔ(t)0.

    Here,

    η+(t)=max{η(t),0}, Λη(t)=ησ(t)η(t), ˜ν=1ν,
    π0(t)=tq˜ν(s),πi(t)=tπi1(s)Δs,for i{1,2},
    ξ(t)=11+p(υ(t))tq˜ν(v)(vr(u)Δu)˜νΔv,
    β(t)=q˜ν(t)1+p(υ(t))(+tr(s)Δs)˜ν,P(t)=r(t)(1p(υ(t))π2(υ(τ(t)))π2(υ(t)))ν,
    ϕ(t)=P(t)+π1(t)πσ2(t)πν2(t)νπ1(t)π2(t)πν2(σ(t)).

    Theorem 2.1. Assume that there exist three functions ζ1,ζ2,γC1rd(It0,(0,)) such that

    t1ζσ1(t)ξ(t)Λ(tt1)(ζΔ1(t))24ζσ1(t)Δt=, (2.1)
    t1γσ(t)β(t)Λh2(t,t1)(γΔ(t))24(tt1)γσ(t)Δt=, (2.2)

    and

    t1ζσ2(t)ϕ(t)ψν+1(t)ην(t)(ν+1)ν+1Δt=, (2.3)

    where

    ψ(t)=ζΔ2+(t)+(1+ν)ζσ2(t)π1(t)πσ2(t),η(t)=Λπ2(t)ζσ2(t)π1(t).

    Then every solution u of (1.1) is oscillatory.

    Proof. Suppose, on the contrary, that u is a positive solution of (1.1) on [t0,+). Then, there exists t1It0, such that u(τ(t))>0, u(υ(t))>0, and u(t)>0, for all tt. Assume that φ fulfills (2.1) i in the claims of Lemma 2.1. Let

    Ξ(t)=ζ1(t)φΔ(t)φ(t),     for all tIt1.

    Then, Ξ(t)>0, for tIt1 and

    ΞΔ(t)=ζΔ1(t)ζ1(t)Ξ(t)+ζσ1(t)φΔ2(t)φ(t)ζσ1(t)(φΔ(t))2φσ(t)φ(t). (2.4)

    Since τC1(It0,It0), then uτC1(It0,It0), and we have

    (uτ)Δ(t)=τΔ(t)uΔ(τ(t)),      for all tIt1.

    Then

    φΔ(t)=uΔ(t)+pσ(t)τΔ(t)uΔ(τ(t))+pΔ(t)u(τ(t))0, tIt1.

    Since pΔ(t)0 and τΔ(t)0, for all tIt1, then

    uΔ(τ(t))uΔ(t)0,     for all tIt1.

    Since τ is a bijective function, we obtain

    uΔ(t)0,     for all tIt1.

    Integrate (1.1) from t to s, we get

    r(t)(φΔ3)ν(t)+r(t)(φΔ3)ν(s)=tsr(τ)uν(υ(τ))Δτ.

    When s tends to in the above inequality, we obtain

    q(t)(φΔ3)ν(t)tr(τ)uν(υ(τ))Δτ,   for all tIt1,

    which implies that

    φΔ3(t)u(υ(t))(1q(t)tr(u)Δu)˜ν,   for all tIt1.

    Integrate from t to to get

    φΔ2(t)tu(υ(v))(1r(v)vq(u)Δu)˜νΔvu(υ(t))t(1r(v)vq(u)Δu)˜νΔv. (2.5)

    Since uΔ(t)0 and τ(t)t, for all tIt1, then

    u(t)φ(t)1+p(t),     for all tIt1. (2.6)

    Substituting (2.6) in (2.5), we get

    φΔ2(t)φ(υ(t))1+p(υ(t))t(1r(v)vq(u)Δu)˜νΔvφ(t)1+p(υ(t))t(1r(v)vq(u)Δu)˜νΔv=ξ(t)φ(t). (2.7)

    Substituting (2.7) in (2.4), we get

    ΞΔ(t)ζσ1(t)ξ(t)+ζΔ1+(t)ζ1(t)Ξ(t)ζσ1(t)(φΔ(t))2φσ(t)φ(t). (2.8)

    Since φΔ2(t)0, for all tIt1, we have

    φ(t)tt1φΔ(s)ΔsφΔ(t)(tt1),     for all tIt1.

    Therefore,

    tφtt1,

    is nonincreasing on It1, then

    φσ(t)σ(t)t1φ(t)tt1,tIt1. (2.9)

    Substituting (2.9) in (2.8), we have

    ΞΔ(t)ζσ1(t)ξ(t)+[ζΔ1(t)]+ζ1(t)u(t)Λ(tt1)Λζ1(t)Ξ2(t)ζ1(t).

    As in [12], we obtain

    ΞΔ(t)ζσ1(t)ξ(t)+Λ(tt1)(ζΔ1(t))24ζσ1(t).

    Integrating from t1 to t, we have

    tt1ζσ1(s)ξ(s)Λ(st1)(ζΔ1(s))24ζσ1(s)ΔsΞ(t2),

    which contradicts (2.1).

    Suppose that φ satisfies 2.1 of Lemma 2.1. Integrating (1.1) from t to , we get

    q(t)(φΔ3(t))ν+tr(s)uν(υ(s))Δs,    for all tIt1.

    Since φΔ(t)0, for all tIt1, u is decreasing on It1, and by (2.6), we have

    φΔ3(t)u(υ(t))(1q(t)+tr(s)Δs)˜νφ(υ(t))1+p(υ(t))(1q(t)+tr(s)Δs)˜ν=β(t)φ(υ(t))β(t)φ(t), tIt1.

    Let

    Θ(t)=ζ3(t)φΔ2(t)φ(t), tIt1.

    Then,

    ΘΔ(t)=ζΔ3(t)ζ2(t)Θ(t)+ζσ3(t)φΔ3(t)φ(t)Λζ3(t)φΔ(t)φσ(t)Θ(t)ζσ3(t)β(t)+[ζΔ3(t)]+ζ3(t)Θ(t)Λζ3(t)φΔ(t)φσ(t)Θ(t). (2.10)

    Then, by φΔ3(t)0, tIt1, we have

    φΔ(t)tt1φΔ2(s)ΔsφΔ2(t)(tt1), tIt1. (2.11)

    Therefore, φΔtt1 is a nonincreasing function It1, then

    φ(t)φΔ(t)tt1tt1(st1)Δsh2(t,t1)tt1φΔ(t)for all tIt1.

    Thus φh2(.,t1)is a nonincreasing function It1, and we get

    φσ(t)hσ2(t,t1)φ(t)h2(t,t1),for all tIt1. (2.12)

    Substituting (2.12) in (2.10), we get

    ΘΔ(t)ζσ3(t)β(t)+ζΔ3+(t)ζ3(t)Θ(t)(tt1)Λζ3(t)ζ3(t)Λh2(t,t1)Θ2(t).

    As in [12], we obtain

    ΘΔ(t)ζσ3(t)β(t)+Λh2(t,t1)(ζΔ3(t))24(tt1)ζσ3(t).

    Integrate from t1 to t, we have

    tt1ζσ3(s)β(s)Λh2(s,t1)(ζΔ3(s))24(st1)ζσ3(s)ΔsΘ(t1),

    which contradicts (2.2).

    Suppose that u satisfies claim 2.1 of Lemma 2.1. By the definition of φ, we have φ(t)u(t), and from (1.1), we have

    (q(t)(φΔ3(t))ν)Δ=Φ(t,uν(τ(t)))r(t)uν(υ(t))0, tIt0. (2.13)

    Thus,

    tq(t)(φΔ3(t))ν,

    is decreasing on It1, then, for any sIt1, we have

    q(t)(φΔ3(t))νp(s)(φΔ3(s))ν,     for all tIt0.

    Then,

    φΔ3(s)(q(t)q(s))˜νφΔ3(t),     for all s,tIt0.

    Integrating from t to v,

    φΔ2(v)φΔ2(t)q˜ν(t)φΔ3(t)vtq˜ν(s)Δs.

    When v tends to in the above inequality, we obtain

    φΔ2(t)q˜ν(t)(tq˜ν(s)Δs)φΔ3(t)=q˜ν(t)π0(t)φΔ3(t), (2.14)

    thus

    (φΔ2(t)π0(t))Δ=φΔ3(t)π0(t)+q˜ν(t)φΔ2(t)π0(t)πσ0(t)0.

    Therefore,

    tφΔ2π0,

    is an increasing function on It1. Thus, we get

    φΔ(t)tπ0(s)φΔ2(s)π0(s)ΔsφΔ2(t)π0(t)tπ0(s)Δs=π1(t)π0(t)φΔ2(t). (2.15)

    Then,

    (φΔ(t)π1(t))Δ=φΔ2(t)π1(t)+π0(t)φΔ(t)π1(t)πσ1(t)0.

    Thus,

    tφΔπ1,

    is a nonincreasing function on It1, and we have

    φ(t)tφΔ(t)ΔsφΔ(t)π1(t)tπ1(s)Δs=π2(t)π1(t)φΔ(t), (2.16)

    then

    (φ(t)π2(t))Δ=φΔ(t)π2(t)+π1(t)φ(t)π2(t)πσ2(t)0. (2.17)

    Thus,

    tφπ2,

    is an increasing function on It1, and we have

    φ(τ(t))π2(τ(t))π2(t)φ(t),   for all tIt1. (2.18)

    Moreover, by the definition of φ and (2.18), we have

    u(t)=φ(t)p(t)u(τ(t))φ(t)p(t)φ(τ(t))[1p(t)π2(τ(t))π2(t)]φ(t). (2.19)

    From (2.19), and (2.13), we get

    (q(t)(φΔ3(t))ν)Δr(t)[1p(υ(t))π2(υ(τ(t)))π2(υ(t))]νφν(υ(t))=P(t)φν(υ(t)). (2.20)

    From (2.14)–(2.16), we obtain

    φ(t)π2(t)q˜ν(t)φΔ3(t),   for all tIt1. (2.21)

    Let

    ω(t)=ζ2(t)[q(t)(φΔ3(t))νφν(t)+πν2(t)],  for all tIt1.

    From (2.21), we have ω(t)0, for all tIt1 and

    ωΔ(t)=ζΔ2(t)ζ2(t)ω(t)+ζσ2(t)[q(t)(φΔ3(t))ν]Δφν(t)ζσ2(t)q(t)(φΔ3(t))ν(φν(t))Δφν(t)φν(σ(t))ζσ2(t)(πν2(t))Δπν2(t)πν2(σ(t)). (2.22)

    By Pöotzsche's chain rule [4, Theorem 1.90], we get

    (φν(t))Δ=νφ(t)Δ10(hφ(t)+(1h)φσ(t))ν1Δhνφ(t)Δφν1(t), (2.23)

    and

    (πν2(t))Δνπ1(t)πν12(t),   for all tIt1. (2.24)

    Substituting (2.20), (2.23), and (2.24) in (2.22), we have

    ωΔ(t)=ζΔ2(t)ζ2(t)ω(t)ζσ2(t)P(t)φν(υ(t))φν(t)νζσ2(t)p(t)(φΔ3(t))νφΔ(t)φ(t)φν(σ(t))+νζσ2(t)π1(t)π2(t)πν2(σ(t)). (2.25)

    Since φΔ(t)<0 and (π12(t)φ(t))Δ>0, for all tIt1, we obtain

    φν(υ(t))φν(t)1 and φσ(t)πσ2(t)π2(t)φ(t),   for all tIt1. (2.26)

    By (2.14) and (2.15), we get

    φΔ(t)π1(t)p˜ν(t)φΔ3(t),   for all tIt1. (2.27)

    Substituting (2.26) and (2.27) in (2.25), we have

    ωΔ(t)=ζΔ2(t)ζ2(t)ω(t)ζσ2(t)P(t)νζσ2(t)π1(t)Tπ2(t)[ω(t)ζ2(t)1πν2(t)]1+˜ν+νζσ2(t)π1(t)π2(t)πν2(σ(t)).

    We conclude that

    [ω(t)ζ2(t)1πν2(t)]1+˜ν(ω(t)ζ2(t))1+˜ν(1+˜ν)ω(t)π2(t)ζ2(t)+˜ν1πν+12(t).

    Thus,

    ωΔ(t)=[ζσ2(t)P(t)+ζσ2(t)π1(t)πσ2(t)πν2(t)νζσ2(t)π1(t)π2(t)πν2(σ(t))]+[ζΔ2+(t)ζ2(t)+(1+ν)Λζ2(t)π1(t)πσ2(t)]ω(t)νΛζ2(t)π1(t)ζ˜ν2(t)Λπ2(t)(ω(t))1+˜ν.

    Then,

    ωΔ(t)=ζσ2(t)[P(t)+π1(t)πσ2(t)πν2(t)νπ1(t)π2(t)πν2(σ(t))]+1(ν+1)ν+1[ζΔ2+(t)+(1+ν)ζσ2(t)π1(t)πσ2(t)]ν+1[Λπ2(t)ζσ2(t)π1(t)]ν=ζσ2(t)ϕ(t)+1(ν+1)ν+1ψν+1(t)ην(t).

    Integrating from t1 to t, we have

    tt1ζσ2(s)ϕ(s)ψν+1(s)ην(s)(ν+1)ν+1Δsω(t1),

    which contradicts (2.3).

    Corollary 2.1. If

    t1ξ(t)Δt=t1ϕ(t)Δt=t1β(t)Δt=, (2.28)

    then every solution u of (1.1) is oscillatory.

    Proof. Similar to the proof of Theorem 2.1, we put

    ζ1(t)=ζ2(t)=γ(t)=1,

    in Eqs (2.1)–(2.3), and we find (2.28)

    Theorem 2.2. Assume that there exist three functions ζC1rd(It0,(0,)) such that (2.1) holds and

    π0(t0)=.

    Then, every solution u of (1.1) is oscillatory.

    Proof. Suppose, on the contrary, that u is a positive solution of (1.1) on It0. Then, there exists t1It0, such that

    u(τ(t))>0, u(υ(t))>0 and u(t)>0,    for all tIt1.

    From (1.1), we have that q(t)(φΔ3(t))ν is decreasing for all tIt1. We claim that q(t)(φΔ3(t))ν>0, for all tIt1. If not, then there exist a t2It1 such that

    q(t)(φΔ3(t))νm,    for all It2,

    where m>0. Integrating from t2 to t, we obtain

    φΔ2(t)m˜νπ0(t2),    for all It2.

    This gives

    limtφΔ2(t)=,

    then

    limtφ(t)=,

    which is a contradiction.

    As some applications of the main results, we present the following example.

    Example 2.1. Consider a fourth-order half-linear delay dynamic equation

    [u(t)+u(t2)](4)+1t3u(2t)=0,   for all t1. (2.29)

    Here, T=R, ν=1, q(t)=p(t)=1, r(t)=t3, τ(t)=t2, and υ(t)=2t.

    Set ζ(t)=1, then

    ξ(t)=14t,     π0(t0)=.

    Thus, (2.1) holds. By Theorem 2.2, Eq (2.29) is oscillatory.

    Remark 2.1. If fourth-order hybrid nonlinear functional dynamic equations with damping on timescale are considered

    (q(t)([u(t)+p(t)u(τ(t))]Δ3)νh(t,u(t)))Δ+Φ(t,uν(υ(t)))=0,tIt0, (2.30)

    on an arbitrary timescale T with supT=, with the function

    h:It0×RR,

    such that

    hC(It0×R,R), uΦ(t,u)>0,, (t,u)It0×R{0},

    and there exists ψC(It0,[0,+)), so that

    h(t,u)ψ(t), (t,u)It0×R{0}.

    Thus, (1.1) becomes a special case of (2.30) in a case h1. Using the same method presented in this research, we can obtain some oscillation criteria for (2.30). It means obtaining generalizations of Theorems 2.1 and 2.2.

    The investigation of sufficient circumstances ensures oscillation of all fourth-order neutral functional differential equation delay solutions. However, this problem remains largely open for future research. We used the generalized Riccati transformations to present a few new theorems for the oscillation of (1.1). Our results here support some well-known results that have recently been published in the literature. A certain number of results reported in the literature are supplemented by the results provided; for more details, see [13,14,15].

    Furthermore, our results can be extended to study a class of systems of higher order hybrid advanced differential equations, for example,

    (q(t)(φΔ3(t)F(t,u(t)))ν)Δ+Φ(t,uν(υ(t)))=0, (3.1)

    where

    φ(t)=u(t)+p(t)u(τ(t)),

    and ν1 is the ratio of two odd positive integers, see [16,17,18,19]. It will be our next work.

    Abdelkader Moumen: Methodology, Formal analysis; Amin Benaissa Cherif: Writing-original draft preparation; Fatima Zohra Ladrani: Writing-original draft preparation; Keltoum Bouhali: Supervision; Mohamed Bouye: Writing-review and editing. All authors have read and approved the final version of the manuscript for publication.

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

    The authors extend their appreciation to the Deanship of Research and Graduate Studies at King Khalid University for funding this work through Large group research project under grant number RGP2/281/45.

    The authors declare that there is no conflict of interest.



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