We study the second-order neutral delay half-linear differential equation , where , and . We use the method of Riccati type substitution and derive oscillation criteria for this equation. By an example of the neutral Euler type equation we show that the obtained results are sharp and improve the results of previous authors. Among others, we improve the results of Sun et al. (Abstr. Appl. Anal. 2012:819342, 2012) and discuss also the case when .
MSC: 34K11, 34K40.
Keywords:half-linear differential equation; oscillation criteria; Riccati technique; delay equation; neutral equation; Euler type equation
In the paper we study the equation
where is the power type nonlinearity, , which ensures that the function is a convex function on . The coefficients r and p are subject of usual conditions , and the coefficient q is positive . Further we suppose that the deviating arguments are unbounded and sufficiently smooth functions: , , , , , and the deviating arguments from the differential term and potential satisfy either or (in the latter case we use stronger condition on the coefficient and the conclusion is weaker than in the commutative case).
By the solution of (1) we understand any differentiable function which does not identically equal zero eventually, such that is differentiable and (1) holds for large t.
The solution of (1) is said to be oscillatory if it has infinitely many zeros tending to infinity. Equation (1) is said to be oscillatory if all its solutions are oscillatory. In the opposite case, i.e., if there exists an eventually positive solution of (1), (1) is said to be nonoscillatory.
The neutral equations naturally arise in the mathematical models where the rate of the growth depends not only on the current state and the state in the past, but also on the rate of change in the past. The paper  suggests to imagine a child, which begins to grow more rapidly at the age of about 12 years, growing more and more rapidly until a certain height is approached, at which time there is a rapid slowing of the growth, stopping at the adult height dictated by genes. This process can easily be modeled by neutral equation. Similarly, the paper  suggests one to use a logistic neutral differential equation to model a population of Daphnia magna. If in the system modeled by first-order neutral differential equation the mature individuals produce some toxin which inhibits the rate the growth and if the production of this toxin is constant per capita and unit time, then the rate of the growth is inhibited by the term like and we naturally obtain the second-order neutral differential equation.
with , , , .
If , then (2) is proved to be oscillatory if (see [, Example 5.2])
If , then (2) is proved to be oscillatory if (see [, Example 5.4])
Note that if we put and , both oscillation constants (3) and (4) are worse than the constant
which is well known to be an optimal oscillation constant for the Euler type equation
see [, Chapter 1.4.2]. The aim of this paper is to develop sharper results than those of . The main idea is to use the classical approach based on Riccati type inequality. Due to the neutral nature of (1) we have to work with (1) and with the same equation shifted from t to . In contrast to the results of some other authors [3,5,6], we do not simply sum up the arising Riccati equations, but we develop an advanced technique based on suitable linear combination and careful comparison of and . We show that an application of this technique allows to remove the above mentioned disadvantages of the paper  and allows to derive sharper results comparing the results published in the literature. Finally, we also discuss the case when the usual assumption is broken. This step opens applications to the neutral delay differential equations with proportional delay σ and constant delay τ.
The paper is organized as follows. In the following section we formulate inequalities which are used to prove the main results. Section 3 contains main results of the paper and examples which prove that we provide sharp oscillation constant for Euler type differential equation. These criteria are expressed in terms of positive mutually conjugate numbers l and , the multiplicative factor φ, and a function .
2 Preliminary results
First we derive some technical lemmas - inequalities which are necessary to reduce second-order differential equation into a combination of two first-order Riccati type equations. Note the changes against  and other related papers.
(i) We use convex linear combination (6) instead of arithmetic mean in Lemma 2. To achieve this, we consider two positive mutually conjugate numbers l and , i.e. and .
(ii) We relax the condition on the commutativity of the composition of σ and τ if x is an increasing function in Lemma 3.
(iii) We use new multiplicative factor in the definition of the function in Lemma 4. The factor φ allows us to make terms involving and closer (or even equal, as in Examples 1 and 4 below) when looking for a smaller one.
As far as we know, these ideas have never been used in the context of Riccati technique even in the linear case and in the section with main results we show that these points are crucial points of the paper which allow to derive sharper results than the results published in the literature.
Throughout the paper denotes the positive part of A, i.e. .
Lemma 1The following inequality holds for everyAand every , :
Proof The inequality is trivial if and a special case of the Young inequality if . □
Lemma 2The following inequality holds for , positive mutually conjugate numbersl, , and nonnegativeaandb:
Proof The proof follows immediately from the convexity of . □
Lemma 3Suppose that either
or suppose thatxis an increasing function and
holds for positive mutually conjugate numbersl, , and everytwhich satisfies and .
Proof From the previous lemma using and and also from the definition of and the fact that . □
Lemma 4Letxbe solution of (1). Suppose that either (7) holds or suppose thatxis an increasing function and (8) holds. The inequality
is valid for positive mutually conjugate numbersl, , and a positive function whenever and are nonnegative. Moreover, if there exist numbers and such that , , we have also
whenever and are nonnegative and is negative.
Proof To obtain the second term from the definition of z we shift (1) from t to and multiply by . We get
Now we multiply (1) by , (13) by , and we add. We obtain
Now (10) follows from the definition of Q and from (9). Inequality (12) follows from (10) and from the fact that is negative. □
3 Main results with applications to Euler type equation
Now we are ready to prove the main results of the paper. The function Q which appears in these criteria is a function defined by (11).
We will distinguish two cases: and . Let us start with the first case.
Theorem 1Suppose that (7) and
hold. Further suppose that , and there exist positive mutually conjugate numbersl, and positive functions , such that
Then (1) is oscillatory.
Proof Suppose, by contradiction, that all of the assumptions of the theorem hold and there exists a solution of (1) and a number which satisfies
for every .
Condition (14) ensures that the corresponding function z is eventually increasing. In fact, from (1) we have
for . Hence is decreasing and either
for large t.
Suppose that there exists such that for . There exists a positive constant M such that
for . Integrating this inequality over the interval we get
Letting we have a negative upper bound for the function z and large t. However, the positivity of both and implies positivity of z. This contradiction proves that and eventually.
Consequently, we will work on the interval where is such that
for every .
From and from the monotonicity of we have
and combining these computations we get
Further we define
we use the obvious fact and differentiate
Using the monotonicity of and we have
Multiplying (17) by , (19) by , adding the resulting inequalities and using (10), we get
Using the product rule for derivatives we obtain
and Lemma 1 implies
Integrating from to t
Multiplying by −1 and taking into account the fact that both and are nonnegative we get a finite upper bound for the integral from (15), which contradicts (15). □
Remark 1 Under the conditions , we can obtain [, Theorem 3.1] as a corollary of Theorem 1, since the inequality
The following corollary is in fact a variant of Theorem 1 if is bounded above by a nonnegative number and is bounded below by a positive number. Since (15) is not simply monotone with respect to and , we have to include the corresponding estimates in the opening part of the proof.
Corollary 1Suppose that (7), (14), and are satisfied and there exist constants and such that and . If there exist positive mutually conjugate numbersl, , and positive functions , such that
then (1) is oscillatory.
Proof The proof is the same as the proof of Theorem 1, we just use (12) instead of (10) and in the remaining part of the proof we replace by and by . □
Example 1 For the Euler type equation (2) with we have , , , , , , . Denote and . With this setting we have and hence . Further , , and (20) becomes
and (2) is oscillatory if
Note that if , then this condition becomes
and since for we have , this oscillation constant is smaller than the oscillation constant from (3).
Further, if and , then (1) becomes (5). Condition (21) becomes
and, since is arbitrary, we get
which is well known to be an optimal and non-improvable oscillation constant for (5). In this sense we consider our result as reasonably sharp.
Finally, taking into account that , condition (21) becomes
A simple computation shows that the function
and has a global minimum at . Thus the choice in (21) produces the smallest oscillation constant
Example 2 Baculíková et al. [, Example 2.1] considered the equation
with , , and . They proved that under the condition (23) is oscillatory if
(note that this condition is misprinted in ). This condition naturally produces poor oscillation constant if β is close to ω. In our notation we have , , , , , , . We choose and . Thus (20) takes the form
Taking into account that and that the function has a local minimum at the point , we find that (23) is oscillatory if
This condition completes condition (24). It is possible to find constants ω and β for which (25) is better than (24), as well as constants where the opposite is true. The fact that both estimates depend heavily on the parameters is illustrated by Figure 1.
Figure 1. Bounds for oscillation constantbfrom (23) for , .
The following corollary suggests another modification of the proof of Theorem 1: we replace condition (7) by weaker condition (8) and add conditions which ensure that x possesses the same type of monotonicity as z.
Corollary 2Suppose that , (8), (14), and hold. If (20) holds for some mutually conjugate numbersl, and positive functions , , then every solution of (1) is either oscillatory, or the first derivative of this solution is oscillatory.
Proof Suppose, by contradiction, that the assumptions are satisfied and x is an eventually positive solution of (1) such that is not oscillatory.
We proceed as in Theorem 1 with modifications mentioned in the proof of Corollary 1. To ensure that Lemma 3 can be applied even though (7) need not to hold note that from the fact that z is eventually increasing, constant and not oscillatory we conclude easily that x is also eventually increasing. □
In the following example we show an application of Corollary 2 to the equation where .
Example 3 Consider the equation
with , , , , . We have , , , , , , for large t and . We choose and . With this setting the condition (20) takes the form
Using this computation and using the fact that the function takes global minimum on for and we see that the condition
guarantees that either every solution or derivative of every solution of the equation is oscillatory.
In the following theorem we drop the condition and use the opposite . In this case we modify the denominator in the Riccati type substitutions (16) and (18).
Theorem 2Suppose that (7), (14), and hold. Further suppose that there exist positive mutually conjugate numbersl, and positive functions , such that
Then (1) is oscillatory.
Proof Suppose, by contradiction, that all the conditions are satisfied and an eventually positive solution of (1) exists. As in the proof of Theorem 1, we can show that is decreasing eventually and increasing eventually. Let us work on the interval where is such that
for every .
As in the proof of Theorem 1, we have and
From and from the monotonicity of we have
and combining these computations we get
Further we define
Similarly as in the proof of Theorem 1 and using the fact that monotonicity of and inequality imply , we get
The remaining part of the proof is the same as in Theorem 1. □
Remark 2 Similarly as in Remark 1, [, Theorem 3.3] is a corollary of Theorem 2.
Corollary 3Suppose that (7), (14), and hold. Furthermore, suppose that there exist constants and such that and . If there exist positive mutually conjugate numbersl, , and positive functions , such that
then (1) is oscillatory.
Proof The proof is he same as the proof of Corollary 1. We just use Theorem 2 instead of Theorem 1. □
Example 4 Consider (2) with . We choose the functions ρ and φ as in Example 1 and find that (1) is oscillatory if
Let us compare this result with (4). The inequalities , , and imply
where f is defined by (22) and is a global minimum of f on . Hence
and (27) is sharper than (4).
The following corollary is a variant of Corollary 2 for .
Corollary 4Suppose that , (8), (14), and hold. If (26) holds for some mutually conjugate numbersl, and positive functions , , then every solution of (1) is either oscillatory, or the first derivative of this solution is oscillatory.
Proof The proof is the same as the proof of Corollary 2; we only replace Theorem 1 by Theorem 2 and Corollary 1 by Corollary 3. □
Remark 3 There are two main approaches how to handle Riccati type transformation in the oscillation theory of neutral differential equations. The first applies if and the shift in the differential term is handled by utilizing the estimate ; see e.g.[7-9]. Thus the results of this type depend on term . Another frequent approach which has been used in [3,10] and also in this paper is summing up the equation at t and and working with the resulting sum. Since it is necessary to take out common factor, the oscillation criteria usually contain term . Since both and may differ significantly, we developed in this paper a method which replaces this term with the term , where the function is in some sense arbitrary and may have influence on the final oscillation criterion. We also showed on examples in previous section that this idea produces nonempty extension of known results. We conjecture that a similar idea can be used to obtain new results also in the case of a series of papers by Baculíková and Džurina [5,11,12], where a sum of two equations (in the original variable and in the shifted variable) is used to derive a certain first-order delay differential equation and the oscillation criteria are formulated in terms of this first-order equation. However, this idea exceeds the scope of this paper and will be examined in other research.
New oscillation theorems for second-order half-linear differential equations have been obtained. The novelty is in the point that we employed general linear combination based on conjugate numbers l and rather than its special case considered in the other papers devoted to this problem and also included a parameter which plays a role when taking minimum of and . These extensions are capable to produce sharper results than the results published in the literature as has been shown on examples. As a byproduct we also relaxed in Corollaries 2 and 4 the usual requirement that the composition of delays is commutative. This makes our results applicable to equations with combined constant and proportional delays.
The authors declare that they have no competing interests.
The paper has been prepared by both authors. Both authors have made the same contribution and approved the final manuscript.
This research was supported by the Grant P201/10/1032 of the Czech Science Foundation.
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