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New criteria for the oscillation of a class of third-order quasilinear delay differential equations

  • This paper establishes new criteria for the oscillation of solutions to a specific class of third-order delay differential equations. These equations, which have numerous applications in the physical and biological sciences, pose intriguing analytical challenges. By employing novel ordering properties, the comparison principle, Riccati transformations, and other analytical techniques, we derive effective oscillation criteria. This approach addresses and overcomes several restrictions previously imposed on the coefficients of such equations. To demonstrate the novelty and practical relevance of our results, we include illustrative examples.

    Citation: Zuhur Alqahtani, Insaf F. Ben Saud, Areej Almuneef, Belgees Qaraad, Higinio Ramos. New criteria for the oscillation of a class of third-order quasilinear delay differential equations[J]. AIMS Mathematics, 2025, 10(2): 4205-4225. doi: 10.3934/math.2025195

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  • This paper establishes new criteria for the oscillation of solutions to a specific class of third-order delay differential equations. These equations, which have numerous applications in the physical and biological sciences, pose intriguing analytical challenges. By employing novel ordering properties, the comparison principle, Riccati transformations, and other analytical techniques, we derive effective oscillation criteria. This approach addresses and overcomes several restrictions previously imposed on the coefficients of such equations. To demonstrate the novelty and practical relevance of our results, we include illustrative examples.



    This study focuses on the asymptotic and oscillatory characteristics of solutions to a class of third-order delay differential equations of the form:

    (r()(ϝ())ϱ)+ki=1Θi()ϝϱ(τi())=0,   0>0, (1.1)

    where ϱ represents the ratio of two odd positive integers, and the following conditions are satisfied:

    (H1) rC1([0,),R), r()>0 and

    Π(0)=0dr1/ϱ()<;

    (H2) τiC1([0,),R),ΘiC1([0,),R), Θi()>0 does not vanish eventually, τ()>0,τ()τi(), and limτi()=, i=1,2,..,k.

    Definition 1.1. The function ϝC1([tϝ,),R), tϝ0, is called a solution of (1.1), if it verifies ϝ,r(ϝ)ϱC1([0,),R) and satisfies (1.1) on [tϝ,). We only consider those solutions of (1.1) which exist on some half-line [tϝ,) and satisfy

    sup{|ϝ()|:t<}>0,

    for any ttϝ.

    Definition 1.2. A solution of (1.1) is called oscillatory if it is neither eventually positive nor eventually negative. Otherwise, the solution is called non-oscillatory. The equation is called oscillatory if all its solutions are oscillatory.

    Remark 1.1. Note that if ϝ is a solution of (1.1), then ϝ is also a solution of (1.1). Therefore, when analyzing nonoscillatory solutions of (1.1), it is sufficient to focus on the eventually positive ones.

    Advanced differential equations are essential tools in mathematical modeling, playing a fundamental role in understanding complex phenomena across various fields, including biomathematics. This discipline addresses the mathematical applications in biology based on the use of mathematical models to comprehend vital processes and interactions within biological systems.

    Differential equations provide the ideal framework for describing dynamic changes in living organisms. They allow researchers to model the behavior of different biological systems, such as disease spread, ecological interactions, population dynamics, and genetic processes. Advanced differential equations, including those involving partial equations, offer powerful tools for analyzing complex phenomena involving multiple variables [1,2,3]. Models based on differential equations are crucial for understanding how biological systems respond to external variables and how these changes can affect the health and sustainability of living organisms. For instance, differential equations are used to describe the spread of infectious diseases, providing insight into how infections are transmitted among individuals of how infections transmit among individuals and the impact of various factors such as social distancing and vaccination. Furthermore, the connection between differential equations and biomathematics opens new avenues for scientific research. By developing accurate mathematical models, researchers can test biological hypotheses, analyze experimental data, and gain new insights into complex biological processes [4,5,6].

    Oscillation theory, central to many scientific fields such as physics and chemistry, has its roots in the study of motion and the effects of forces. Over centuries, it has evolved to incorporate complex mathematical concepts, enabling the analysis of dynamic systems across diverse domains, including engineering and quantum mechanics. In the seventeenth century, the pioneering works of Galileo Galilei and Isaac Newton contributed to a deeper understanding of the concepts of motion and acceleration, laying the foundation for the theory of oscillation. By the nineteenth century, scientists such as James Clerk Maxwell and Pierre-Simon Laplace developed advanced mathematical models, resulting in widespread applications in the fields of thermodynamics and wave theory[7,8,9]. With the advent of the twentieth century, the scope of the theory of oscillation expanded to include new fields such as quantum theory and relativity, where the concepts of oscillation became fundamental to understanding the behavior of particles at atomic and subatomic levels, enabling scientists to explore natural phenomena in greater depth. Today, oscillation theory remains a vital area of research, providing insights into intricate systems and fostering innovative solutions to challenging problems. Through the study of oscillations, we can understand complex systems and develop innovative solutions to intricate problems, making it an exciting and significant area of research in the present day [10,11,12].

    On the other hand, oscillation theory plays a crucial role in understanding dynamic processes in chemistry and biology, where periodic fluctuations govern numerous natural and synthetic systems. In chemistry, oscillatory reactions such as the Belousov-Zhabotinsky reaction exemplify nonlinear chemical dynamics, providing insight into reaction-diffusion mechanisms and self-organization phenomena. In biological systems, oscillatory behaviors are fundamental to circadian rhythms, metabolic cycles, and neural activity, where feedback loops and regulatory networks maintain homeostasis and adaptive responses. The study of these oscillatory systems not only advances theoretical models but also informs practical applications, including drug delivery, synthetic biology, and bioengineering [13,14,15].

    The qualitative analysis of differential equations of the form (1.1), including their applications and generalizations, has become a subject of significant interest.

    Remark 1.2. In this context, we say that Eq (1.1) verifies the property M if every nonoscillatory solution F>0 belongs to C3 in Lemma 2.1.

    Several studies have explored the oscillatory behavior of solutions to third-order differential equations, focusing on establishing sufficient conditions for oscillation and non-oscillation. For instance, Fahd et al. in [16] investigated some asymptotic properties for the neutral differential equation

    (r2()((r1()(ϝ()+p()ϝ(σ()))))ϱ)+ki=1Θi()ϝ(τi())=0,

    where ϱ>1,

    0dr1()= and 0dr1/ϱ2()=,

    and

    pC([0,),[0,))σ(). (1.2)

    They established sufficient conditions guaranteeing that every solution of the preceding equations either exhibits oscillatory behavior or converges to zero.

    In 2023, the authors in [17] investigated the asymptotic properties of the third-order delay differential equations

    (r2()(r1()(ϝ()+p()ϝ(σ()))))+ki=1Θi()ϝ(τi())=0,

    where σC([0,),R),

    0drm()= for m=1,2,

    and (1.2) holds. They derived conditions that establish the convergence criteria for all nonoscillatory solutions approaching zero.

    Almarri in [18] introduced new criteria for oscillation of third-order delay differential equations of the form

    (r2()(r1()(ϝ()+p()ϝ(σ()))))+ki=1Θi()ϝ(τi())=0,

    where σC1([0,),R), and (1.2) holds.

    Previous studies in this field can be referenced, such as [19,20,21] and the cited references. Most of the previous studies have addressed the oscillation of the solutions of Eq (1.1) under the condition Π(0)=. In this paper, we discuss in detail several results related to Eq (1.1) under the condition Π(0)<. In [22, Theorem 1], a particular criterion was obtained using an effective and novel technique based on the reduction of equation

    (r()(ϝ())ϱ)+Θ()ϝϱ(τ())=0 (1.3)

    to a first-order Riccati-type inequality.

    Theorem 1.1. [22, Theorem 1] Suppose that

    0(v(r1(u)uΘ(s)ds)1/ϱdu)dv=. (1.4)

    If, also,

    lim sup3(kϱ(ki=1Θi(s))τϱ(s)Πϱ(s)(ϱ(ϱ+1))ϱ+11Π(s)r1/ϱ(s))ds= (1.5)

    and

    lim sup2((τ(s)(τ(s)t)2s)ϱsΘ(s)ϱsϱ(ϱ+1)(ϱ+1)r(s))ds= (1.6)

    for some and k (0,1), and t0, 2t and 30, then (1.3) is oscillatory or all its solutions satisfy

    limϝ()=0. (1.7)

    Furthermore, in [23, Theorem 3], the authors established certain oscillation criteria for Eq (1.3) by reducing its order from a third-order equation to a first-order equation and then applying the comparison principle. They obtained the following theorem:

    Theorem 1.2. [23, Theorem 3.1] Suppose that there exist nondecreasing functions Ψ1() and Ψ2()C1([0,),R) such that

    τ()<Ψ1()<Ψ2()<  for  0.

    If

    0(r1(u)u0τ(s)Π(τ(s))Θ(s)ds)1/ϱdu=, (1.8)

    and

    lim infτ()(τ(s)tur1/ϱ(u)du)ϱτϱ(s)Θ(s)ds>1e, (1.9)

    for any t0,

    lim infΨ2()(Ψ2()Ψ1(s)r1/ϱ(u)du)ϱ(Ψ1(s)τ(s))ϱΘ(s)ds>1e, (1.10)

    then (1.3) is oscillatory.

    As we find, the authors in [24, Corollary 1] studied the equation

    (r()(ϝ()))+Θ()ϝ(τ())=0 (1.11)

    and, using the principles of comparison with the first-order delay differential equation, they obtained the following result:

    Theorem 1.3. [24, Corollary 1] Suppose that there exist nondecreasing functions Ψ1,ΩC1([0,),R) such that

    Ψ1()>,τ(Ψ1(Ψ1()))<, and Ω()>.

    If

    lim infΩ()Π(Ω(s))(τ(s)1)Θ(s)ds>1e, (1.12)

    and

    lim inf(τ()τ(s)2(v1r1(u)du)dv)Θ(s)ds>1e, (1.13)

    for all 2>10,

    lim infτ(Ψ1(Ψ1()))Ψ1(s)s((Ψ1(v)vΘ(u)du)r1(v)dv)ds>1e, (1.14)

    then (1.11) is oscillatory.

    It is clear that Theorems 1.2 and 1.3 rely on three independent conditions that exclude all non-oscillatory solutions belonging to (C1C3), ensuring the oscillation of all solutions to the Eqs (1.3) and (1.11). The results of these theorems depend heavily on the appropriateness of the auxiliary functions involved in the conditions of the (lim inf) type, which makes the application of these conditions somewhat complex.

    In Theorem 1.1, it is observed that the non-oscillatory solutions belonging to cases C1 and C2 are excluded by conditions (1.6) and (1.5), while condition (1.4) ensures that any non-oscillatory solution belonging to case C3 tends to zero.

    All the results above share the common requirement of adhering to three independent conditions to ensure the exclusion of any non-oscillatory solutions, thereby guaranteeing the oscillation of the studied equations.

    This paper aims to establish new oscillation criteria for Eq (1.1) that complement, improve, and simplify the existing results, including Theorems 1.1–1.3. By reducing the number of required conditions and constraints, our results provide a more streamlined approach to ensuring the oscillation of Eq (1.1).

    We begin by introducing the classification of the derivatives of the solution and then introduce the absence of solutions belonging to C1. As will be shown later, this condition is also encompassed by those that rule out solutions belonging to C2. In addition, we present theories that guarantee the oscillation of the solutions of the Eq (1.1) or their approximation to zero.

    Lemma 2.1. Assume that ϝ>0 is a solution of (1.1). Then ϝ belongs to one of the following sets:

    C1={ϝC1([0,),(0,)):ϝ>0,ϝ>0},C2={ϝC1([0,),(0,)):ϝ>0,ϝ<0},C3={ϝC1([0,),(0,)):ϝ<0,ϝ>0}.

    Proof. Let ϝ be a non-oscillatory solution of (1.1). Without loss of generality, we may suppose that ϝ is positive. From (1.1), we see that

    (r()(ϝ())ϱ)=ki=1Θi()ϝϱ(τi()).

    Scince Θi(), ϝϱ(τi())>0, then

    (r()(ϝ())ϱ)<0.

    Hence, ϝ() and ϝ() are of one sign eventually, which implies the stated result.

    Lemma 2.2. Assume that ϝ>0 is a solution of (1.1). If

    0τϱ()(ki=1Θi())d=, (2.1)

    then C1=Φ.

    Proof. To proceed with a proof by contradiction, assume that ϝ belongs to C1 and ϝ(τ()>0 for 1, 1[0,). Since ϝ>0, we note that c:=ϝ(1)ϝ(). Therefore,

    c(τ()1)ϝ(τ())

    and

    ˜cτ()ϝ(τ()) for any k(0,1) and 21, where ˜c=ck. (2.2)

    Integrating (1.1) from 2 to and using (2.1), we have

    r()(ϝ())ϱr(2)(ϝ(2))ϱ=2(ki=1Θi(s))ϝϱ(τi(s))ds˜cϱ2τϱ(s)(ki=1Θi(s))ds as , (2.3)

    which is a contradiction. The proof is complete.

    Lemma 2.3. Assume that ϝ>0 is a positive increasing solution of (1.1). If

    0r1lϱ()(0τϱ(s)(ki=1Θi(s))ds)1lϱd=, (2.4)

    then ϝ belongs to C2 for 1, moreover,

    (a) (ϝ()/)<0, limϝ()/=ϝ()=0, and

    ϝ()ϝ() for 2, (2.5)

    (b) (ϝ()/Π())>0 and

    ϝ()ϝ()Π()r1lϱ() for 21.

    Proof. Let ϝ be increasing: From Lemma 2.1, ϝ belongs to C1 or C2 for 1, 1[0,), that is, ϝ(τi()) is positive for 1. Since Π(0)<, (2.4) leads to (2.1). Thus, from Lemma 2.2, ϝ belongs to C2 for 1.

    Since (ϝ())<0, we see that limϝ()λ=0. If ϝ()λ>0 for 1, following a similar approach in the proof of Lemma 2.2, we obtain (2.3). From r()(ϝ())ϱ<0, we obtain

    ϝ()˜cr1lϱ()(2τϱ(s)(ki=1Θi(s))ds)1lϱ. (2.6)

    Integrating (2.6) from 2 to , we obtain

    ϝ()ϝ(2)2˜cr1lϱ(u)(u2τϱ(s)(ki=1Θi(s))ds)1lϱdu as ,

    which leads to a contradiction, and thus, λ=0. By using l'Hospital's Rule, we note that

    ϝ()=limϝ()=0. (2.7)

    Thus,

    ϝ()=1ϝ(s)ds+ϝ(1)ϝ()(1)+ϝ(1).

    From (2.7), we obtain

    ϝ(1)>1ϝ() for 21.

    That is,

    ϝ()>ϝ(),

    which yields

    (ϝ())=12(ϝϝ)<0.

    Now, it is clear that

    ϝ()r1lϱ(s)r1lϱ(s)ϝ(s)dsr1lϱ()Π()ϝ(),

    and hence,

    (ϝ()Π())=1r1lϱ()Π2()(r1lϱ()ϝ()Π()+ϝ())0.

    The proof is complete.

    We can now move forward by introducing several straightforward criteria for property M for (1.1).

    Theorem 2.1. If

    0r1lϱ()(0(ki=1Θi(s))ds)1lϱd=, (2.8)

    then ϝC3.

    Proof. To proceed with a proof by contradiction, assume that ϝ belongs to C1 or C2 for 1. Since ϝ>0, there is a 21 such that :=ϝ(1)ϝ() for 2. From (1.1), we have

    r()(ϝ())ϱr(2)(ϝ(2))ϱ=2(ki=1Θi(s))ϝ(τi(s))ds2ϱ(ki=1Θi(s))dsϱ2(ki=1Θi(s))ds. (2.9)

    Since Π(0)<, from (2.8) we arrive at

    0ki=1Θi(s)ds=. (2.10)

    If ϝ belongs to C1, then according to (2.10) r()(ϝ())ϱ is not positive, and thus we lead to a contradiction. Assume that ϝ belongs to C2. Using the property r()(ϝ())ϱ<0 in (2.9), we see that

    r1lϱ()ϝ()(2ki=1Θi(s)ds)1lϱ. (2.11)

    Integrating the above inequality from 2 to , we obtain

    ϝ()ϝ(2)2r1lϱ(u)(u2ki=1Θi(s)ds)1lϱdu,

    which contradicts ϝ()>0. The proof is complete.

    Theorem 2.2. If

    lim infτ()r1lϱ(s)(s0ki=1τϱ(u)Θi(u)du)1lϱds>1e, (2.12)

    then ϝC3.

    Proof. To proceed with a proof by contradiction, assume that ϝ belongs to C1 or C2 for 1. It is clear that for (2.12) to be valid, it is essential that (2.4) is true. From Lemma 2.3, we note that ϝ belongs to C2 and properties (a) and (b) are satisfied for 12. Thus,

    ϝ(τi())ϝ(τ())τ()ϝ(τ()) for 2.

    From (1.1), obtain

    (r()(ϝ())ϱ)=ki=1Θi()ϝϱ(τi())τϱ()(ki=1Θi())(ϝ(τ()))ϱ. (2.13)

    Integrating (2.13) from 2 to and using ϝ<0, we get

    (ϝ())ϱ1r()2(ki=1Θi(s))τϱ(s)(ϝ(τ(s)))ϱds1r()(ϝ(τ()))ϱ2(ki=1Θi(s))τϱ(s)ds. (2.14)

    Now, setting x():=ϝ()>0, we find

    x()+r1lϱ()(2τϱ(s)ki=1Θi(s)ds)1lϱx(τ())0. (2.15)

    Thus, by [25, Theorem 2.1.1], (2.15) does not have a positive solution, contradicting our original assumption. The proof is complete.

    A principle like the one we used in the proof of Theorem 2.2 always requires τ()<. The results presented in the sequel, however, apply also in the case when τ()=.

    Theorem 2.3. Assume that (2.4) holds. If

    lim supΠϱ()0(ki=1Θi(s))τϱ(s)ds>1, (2.16)

    then ϝC3.

    Proof. To proceed with a proof by contradiction, assume that ϝ belongs to C1 or C2 for 1. We see that limΠ()=0 is satisfied. According to Π(0)<, and (2.16), this implies (2.1). By Lemma 2.3, we obtain that ϝ belongs to C2 and satisfies properties (a) and (b) for 1 2.

    Proceeding similarly as in Theorem 2.2, we obtain (2.14). Using the monotonicity of r()(ϝ())ϱ and property (b) in (2.14), we find that

    r()(ϝ())ϱ(ϝ())ϱ2τϱ(s)ki=1Θi(s)dsr()Πϱ()(ϝ())ϱ2τϱ(s)ki=1Θi(s)ds,

    that is,

    Πϱ()2τϱ(s)ki=1Θi(s)ds1.

    This contradicts (2.16), and the proof is complete.

    Theorem 2.4. Suppose that (2.4) holds. If there is a function ρC1([0,),(0,)), ρ0 such that

    lim supΥ(r1lϱ(u)ρ(u)(u0τϱ(s)ki=1Θi(s)ds)1lϱτ(u)14(ρ(u))2ρ(u)τ(u))du=, (2.17)

    for any Υ[0,), then ϝC3.

    Proof. To proceed with a proof by contradiction, assume that ϝ belongs to C1 or C2 for 1. From Lemma 2.3, we see that ϝ belongs to C2 and satisfies properties (a) and (b) for 1 2. Define the following function w>0 as

    w():=ρ()ϝ()ϝ(τ()).

    We have that

    w()=ρ()w()ρ()+ρ()ϝ()ϝ(τ())ρ()ϝ()ϝ(τ())τ()ϝ2(τ())ρ()w()ρ()+ρ()ϝ()ϝ(τ())w2()ρ()τ(). (2.18)

    Integrating (1.1) from 2 to and taking into account that (ϝ(τ())/τ())<0, we have

    r()(ϝ())ϱr(2)(ϝ(2))ϱ+2ki=1Θi(s)ϝϱ(τi(s))ds1τϱ()ϝϱ(τ())2τϱ(s)ki=1Θi(s)ds. (2.19)

    Using the fact that lim ϝ()/=0, we obtain

    r(2)(ϝ(2))ϱϝϱ(τ())τϱ()20(ki=1Θi(s))τϱ(s)ds>0, for 2<3. (2.20)

    From (2.19) and (2.20), we obtain

    r()(ϝ())ϱ+r(2)(ϝ(2))ϱϝϱ(τ())0τϱ(s)ki=1Θi(s)dsτϱ()ϝϱ(τ())20(ki=1Θi(s))τϱ(s)dsτϱ()ϝϱ(τ())0τϱ(s)ki=1Θi(s)dsτϱ(),

    that is,

    1ϝ(τ())ϝ()+r1/ϱ()τ()(0τϱ(s)ki=1Θi(s)ds)1/ϱ0 for 3. (2.21)

    Using (2.21) and (2.18), we have

    w()w()ρ()ρ()ρ()(0τϱ(s)ki=1Θi(s)ds)1/ϱr1/ϱ()τ()w2()ρ()τ()=ρ()(0τϱ(s)ki=1Θi(s)ds)1/ϱr1/ϱ()τ()(w()ρ()2τ())2τ()ρ()+(ρ())24ρ()τ()ρ()r1/ϱ()τ()(0τϱ(s)ki=1Θi(s)ds)1/ϱ+(ρ())24ρ()τ(). (2.22)

    Integrating (2.22) from 3 to , we find

    w()w(3)+3(ρ(u)(u0(ki=1Θi(s))τϱ(s)ds)1/ϱr1/ϱ(u)τ(u)(ρ(u))24ρ(u)τ(u))du0,

    which is a contradiction. The proof is complete.

    Corollary 2.1. Suppose that (2.4) holds. If

    lim supΥ((u0τϱ(s)ki=1Θi(s)ds)1lϱΠ(u)τ(u)r1lϱ(u)r2lϱ(u)4Π3(u)τ(u))du=,

    for any Υ[0,), then ϝC3.

    Proof. Taking ρ()=1/Π(), the results follows directly

    Theorem 2.5. Suppose that (2.4) holds. If there is a function δC1([0,),(0,)) such that

    lim sup{1δ()(Υ(δ(s)ki=1Θi(s)(ϱ+1)(ϱ+1)(δ(s))ϱ+1δϱ(s)Πϱ(s)(τ(s))ϱ)ds)Πϱ()τϱ()}>1, (2.23)

    for any Υ[0,), then ϝC3.

    Proof. To proceed with a proof by contradiction, assume that ϝ belongs to C1 or C2. From Lemma 2.3, we see that ϝ belongs to C 2 and the properties (a) and (b) are satisfied for 12. Using Lemma 2.3, we obtain

    ϝ(τi())ϝ(τ())τ()ϝ(τ())τ()ϝ()τ()Π()r1/ϱ()ϝ(). (2.24)

    Define the following function as

    θ():=δ()(r()(ϝ())ϱϝϱ(τ())+Πϱτϱ()). (2.25)

    From (2.25), we note that θ0 on [1,). Differentiating (2.25) and using (1.1), we obtain

    θ()=δ()θ()δ()+δ()ϝϱ(τ())(r()(ϝ()ϱ))ϱr()τ()ϝϱ+1(τ())(ϝ())ϱϝ()+ϱρ()(Π()τ())ϱ+1(τ()r1lϱ()τ()Π())=θ()δ()δ()δ()ki=1Θi()ϱδϱ+1()(θ()δ()Πϱ()τϱ())1+1lϱϝ()τ()(r1lϱ()ϝ())+ϱρ()(τ()r1lϱ()τ()Π())(Π()τ())ϱ+1. (2.26)

    Using that ϝ()+Π()r1lϱ()ϝ()0 in (2.26), we obtain

    θ()θ()δ()δ()δ()ki=1Θi()τ()(θ()δ()Πϱ()τϱ())1+1lϱϱΠ()δ1lϱ()+ϱρ()(Π()τ())ϱ+1(τ()r1lϱ()τ()Π()). (2.27)

    In view of [26, Lemma 2.3], we find that

    AuB(uC)(ϱ+1)/ϱAC+ϱϱ(ϱ+1)ϱ+1Aϱ+1Bϱ,B>0,A,CR, (2.28)

    using the above inequality with

    A:=1δ()δ(),  B:=ϱΠ()δ1lϱ()τ(),  C:=δ()Πϱ()τϱ(),

    in (2.27), we obtain that

    θ()δ()ki=1Θi()+Πϱ()τϱ()δ()+(ϱ+1)(ϱ+1)(δ())ϱ+1δϱ()Πϱ()(τ())ϱ+ϱρ()(Π()τ())ϱ+1(τ()r1lϱ()τ()Π())=δ()(ki=1Θi())+(δ()Πϱ()τϱ())+(δ())ϱ+1(ϱ+1)ϱ+1δϱ()Πϱ()(τ())ϱ. (2.29)

    Integrating (2.29) from 2 to , we arrive at

    θ(2)θ()2(δ(s)ki=1Θi(s)(ϱ+1)(ϱ+1)(δ(s))ϱ+1δϱ(s)Πϱ(s)(τ(s))ϱ)dsΠϱ()δ()τϱ()+Πϱ(2)δ(2)τϱ(2).

    From (2.25), we obtain

    2(δ(s)ki=1Θi(s)(ϱ+1)(ϱ+1)(δ(s))ϱ+1δϱ(s)Πϱ(s)(τ(s))ϱ)dsδ(2)r(2)(ϝ(2))ϱϝϱ(τ(2))δ()r()(ϝ())ϱϝϱ(τ()). (2.30)

    We note that (2.24) leads to

    Πϱ()δ()τϱ()δ()r()(ϝ())ϱϝϱ(τ())0. (2.31)

    Substituting (2.31) into (2.30), we obtain

    2(δ(s)ki=1Θi(s)(ϱ+1)(ϱ+1)(δ(s))ϱ+1δϱ(s)Πϱ(s)(τ(s))ϱ)dsΠϱ()δ()τϱ(), (2.32)

    which is a contradiction to (2.23). The proof is complete.

    Remark 2.1. We note that upon closer examination it becomes apparent that condition (1.6) of Theorem 1.1 is unnecessary.

    Theorem 2.6. If (1.5) holds for 0<k<1and 30, then ϝC3.

    Proof. In view of [22, Theorem 1], we note that (1.6) and (1.5) exclude solutions belonging to C1 and C2, respectively. We find that for (1.5) to be satisfied, the following equation must be satisfied:

    0Πϱ(s)τϱ(s)ki=1Θi(s)ds=, (2.33)

    which according to Π(0)< implies (2.1). By Lemma 2.2, the class of solutions belonging to C1 is empty.

    Remark 2.2. Considering the proof of Theorem 1.1, we observe that by utilizing the property

    ϝ()kϝ()  for k(0,1),

    condition (2.4) was established to exclude any solutions belonging to the class C2. Furthermore, by employing property (2.5) from Lemma 2.3, we can obtain a stronger result in Theorem 2.6 with k=1.

    Lemma 2.4. Suppose that ϝ>0 is a solution of (1.1) belonging to C3. If

    0ki=1Θi(s)ds=, (2.34)

    or

    0r1/ϱ(s)(ski=1Θi(u)du)1/ϱdsd=, (2.35)

    then ϝ satisfies (1.7).

    Proof. Let ϝ(τi())>0 for some 1[0,) and 1. Since ϝ<0, there is a finite limit limϝ()=λ0. Let λ>0. Integrating (1.1) from 1 to and using (2.34), we obtain

    r()(ϝ())ϱr(1)(ϝ(1))ϱ=1ki=1Θi(s)ϝϱ(τi(s))ds,λϱ1ki=1Θi(s)ds   as ,

    which is a contradiction. Therefore, limϝ()=0. To demonstrate that the same conclusion is valid in the case where

    0(ki=1Θi(s))ds<,

    the reader is directed to [22]HY__HY, Theorem 1]. The proof is complete.

    By combining the results in Theorems 2.1–2.5 with the results in Lemma 2.4, we obtain new results that guarantee that the solutions of (1.1) are oscillatory or satisfy (1.7).

    Theorem 2.7. If (2.8) is satisfied, then (1.1) is oscillatory or its solution satisfies (1.7).

    Proof. Since Π(0)<, and from (2.8), we see that (2.34) is satisfied.

    Theorem 2.8. If (2.12) and either (2.34) or (2.35) are satisfied, then (1.1) is oscillatory or its solution satisfies (1.7).

    Theorem 2.9. If (2.4), (2.16), and either (2.34) or (2.35) are satisfied, then (1.1) is oscillatory or its solution satisfies (1.7).

    Theorem 2.10. Assume that (2.4) holds. If there is a function ρC1([0,),(0,)) with ρ0 such that (2.17) holds and either (2.34) or (2.35) is satisfied, then (1.1) is oscillatory or its solution satisfies (1.7).

    Theorem 2.11. Assume that (2.4) holds. If there is a function δC1([0,),(0,)) such that (2.23) holds and either (2.34) or (2.35) is satisfied, then (1.1) is oscillatory or its solution satisfies (1.7).

    Now, we establish the following theorem, which guarantees the exclusion of non-oscillatory solutions belongs to C3. Then, we present the theorem that ensures the oscillation of all solutions of Eq (1.1).

    Theorem 2.12. Suppose that ϝ>0 is a solution of (1.1). If

    lim supτ()Rϱ(τ(),τ(s))ki=1Θi(s)ds>1, (2.36)

    where

    R(v,u)=vu(vxr1/ϱ(s)ds)dx for vu,

    then C3=Φ.

    Proof. Let τ()1 for some 1[0,) and 1. By the monotonicity of r()(ϝ())ϱ, we have

    ϝ(u)vur1lϱ(s)r1lϱ(s)ϝ(s)dsr1lϱ(v)ϝ(v)vur1lϱ(s)ds for vu. (2.37)

    Integrating (2.37) from u to v in u, we obtain

    ϝ(u)r1lϱ(v)ϝ(v)vu(vxr1lϱ(s)ds)dx (2.38)
    =:r1lϱ(v)ϝ(v)R(v,u). (2.39)

    Integrating (1.1) from τ() to and from (2.38) with u=τ(s) and v=τ(), we obtain

    r(τ())(ϝ(τ()))ϱτ()(ki=1Θi(s))ϝϱ(τi(s))dsr(τ())(ϝ(τ()))ϱτ()Rϱ(τ(),τ(s))ki=1Θi(s)ds.

    This contradiction ends the proof.

    By combining the results in Theorems 2.1–2.6 with the results in Lemma 2.4, we obtain new results that guarantee that all solutions of (1.1) are oscillatory.

    Theorem 2.13. Suppose that all conditions in Theorem 2.1, Theorem 2.2, Theorem 2.3, Theorem 2.4, Theorem 2.5, or Theorem 2.6 and (2.36) are satisfied. Then (1.1) is oscillatory.

    Example 3.1. Consider the differential equation

    dd(2d2d2ϝ())+1Θ0ϝ(λ)=0,  1, (3.1)

    where 0<λ<1 and Θ0 is positive.

    Applying the previous results to Eq (3.1), we conclude that

    – Since (2.8) is not satisfied, Theorem 2.1 is inapplicable.

    – Theorem 2.2 implies

    Θ0>1λeln(λ1). (3.2)

    – Theorem 2.3 implies

    Θ0>1λ. (3.3)

    – (Corollary 2.1) implies

    Θ0>14λ. (3.4)

    - Also, Theorem 2.5 with ρ()=τ()Π() implies (3.3), and Theorem 2.6 implies (3.4).

    Note that conditions (2.34) and (2.35) in Lemma 2.4 are satisfied. Therefore, we can say that the solutions of Eq (3.1) are either oscillatory or tend to zero if one of the conditions (3.2)–(3.4) is satisfied.

    Now, we use Theorem 2.12 to exclude any positive decreasing solutions of (3.1), which implies

    Θ0(1+12ln2λ+lnλλ)>1. (3.5)

    Using Theorem 2.13, we see that all solutions of (3.1) are oscillatory if one of the conditions (3.2)–(3.4) and (3.5) hold.

    Remark 3.1. In view of Figure 1, we note that condition (3.4) is less stringent than conditions (3.2) and (3.3), allowing greater flexibility in the permissible values for λ and Θ0. This implies a broader range of application and parameter adjustment. Also,

    (1) when the values of λ are small, condition (3.2) is the most efficient condition.

    (2) when the values of λ are large, condition (3.4) is the most efficient condition.

    Example 3.2

    dd(2d2d2ϝ())+14Θ0ϝ(0.5)+34Θ0ϝ(0.5)=0, (3.6)

    1, where Θ0>0. Applying the previous results to the Eq (3.6), we obtain

    – Theorem 2.2 implies

    Θ0eln(2)>2. (3.7)

    – Theorem 2.3 implies

    Θ0>2. (3.8)

    – (Corollary 2.1) implies

    Θ0>12. (3.9)

    According to Theorem 2.12, we see that the following condition

    Θ0>112(ln20.51)+(ln0.5+1) (3.10)

    exclude any positive decreasing solutions of (3.1). Thus, by Theorem 2.13, that is, all solutions of (3.6) are oscillatory if one of the conditions (3.7)–(3.9) and (3.10) hold.

    Remark 3.2. In view of the previous example, we note that according to (1.4), Theorem 1.1 is not applicable.

    Figure 1.  Test of the strength of criteria for (3.1).

    This paper establishes several new oscillation results for (1.1). These results enhance, complete, and simplify the existing ones (e.g., Theorems 1.2 and 1.1). Initially, we provide multiple criteria to ensure the absence of any non-oscillatory solutions belonging to either class C1 or C2. Notably, Theorems 2.1 and 2.2 require only a single condition, compared to the multiple conditions necessary in Theorems 1.2 and 1.1. We also demonstrate that Condition (1.6) is unnecessary in Theorem 1.1. Furthermore, we present more general results to ensure no non-oscillatory solutions belong to class C1 or C2. Subsequently, we derived criteria ensuring that the solutions to (1.1) are either oscillatory or tend to zero by integrating previous results with Lemma 2.4.

    Additionally, we provided a new condition to exclude any non-oscillatory solution belonging to class C3 and expanded condition (1.4) to encompass the Euler equation

    (2ϝ())+Θ0ϝ()=0, (4.1)

    while Theorem 1.1 fails to apply due to (4.1). By combining all the above results with Theorem 2.12, we establish criteria that ensure the oscillation of all solutions to Eq (1.1).

    Z.A., H.R. and B.Q.: Conceptualization; Z.A., B.Q. and A.A.: Methodology; Z.A., B.Q. and A.A.: Validation; Z.A., B.Q. and A.A.: Investigation; B.Q. and Z.A.: Resources; Z.A., B.Q., I.F.B.S. and A.A.: Data curation; Z.A., A.A., I.F.B.S., H.R. and B.Q.: Writing-original draft preparation; B.Q., Z.A., I.F.B.S., A.A. and H.R.: Writing-review and editing; Z.A., A.A. and B.Q.: Visualization; A.A., H.R., Z.A. and B.Q.: Supervision; B.Q.: Project administration. All authors have read and agreed to the published version of the manuscript.

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

    The authors acknowledge the Princess Nourah bint Abdulrahman University Researchers Supporting Project number (PNURSP2025R518), Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.

    This research was funded by Researchers Supporting Project number (PNURSP2025R518), Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.

    The authors declare no conflicts of interest.



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