1. Introduction
This paper deals with third-order nonlinear neutral delay differential equations with mixed nonlinearities of the form
      where 
 In the sequel, the following conditions are assumed without further mention:
- (H1)
-  are ratios of odd positive integers such that  with , and  being constants; 
- (H2)
-  for  -  and 
- (H2)
-  with  and  for  
Let  By a solution of (1), we mean a function  such that  and x satisfies (1) on  We consider only solutions of (1) which satisfy  for all  and tacitly assume that (1) possesses such solutions.
Definition 1.  A solution of (1) containing an unbounded number of zeros on  is said to be  otherwise, it is called 
 Definition 2.  Equation (1) is said to be  if its solutions are either oscillatory or tend to zero monotonically.  Oscillation and delay phenomena appear in different models from real-world applications; see the papers [
1,
2] and the references cited therein for more details. In recent years, the theory and applications of neutral type differential equations have attracted great interest since such equations are used to describe a variety of real-world problems in physics, engineering, mathematical biology, and so on; see, for example, [
3,
4,
5]. For recent applications and general theory of these equations, the reader is referred to the monographs [
6,
7].
The oscillatory characteristics of third-order delay differential equations are peculiar in the sense that they may have both oscillatory and nonoscillatory solutions, or they may have only oscillatory solutions. For example, in [
8], all the solutions of the third-order delay differential equation
      are oscillatory if 
 However in [
5], the third-order delay differential equation
      has the oscillatory solution 
 and a nonoscillatory solution 
, where 
 such that
Because of the abovementioned behavior of solutions of third-order differential equations, there has been great interest in establishing sufficient conditions for the oscillation or nonoscillation of solutions of different classes of differential equations of the third order; see, for example, [
5,
6,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22] and the references contained therein.
Recently, in [
23], the  authors studied the oscillatory behavior of (1) for the case 
 and 
 and in [
24], the authors studied the following equation:
      where 
 and obtained some sufficient conditions which state that every solution of (2) is either oscillatory or tends to zero eventually (almost oscillatory) under the assumption
Since the positive solution of (2) satisfies the condition
      using this, the authors infer that 
 for 
 which is necessary to use Lemma 1.5.8 of [
7] to obtain the main results in [
24]. This is not true in general; for example, if 
 and 
, then we have 
 and this may not imply that 
 for 
 However, this is used in [
24] to obtain the main results, and hence the results in [
24] may not be correct unless they have to assume that 
 is either constant or monotonically decreasing. Note that the authors used the function 
 in their examples, which is clearly monotonically decreasing.
Motivated by the above observations and inspired by recent works [
23,
24], in this study, we consider Equation (
1), which is the same as (2) if 
 and 
, and then using the linearization method and the arithmetic–geometric inequality, we obtain some new criteria for the oscillation and asymptotic behavior of solutions of 
. Here, we set 
 to apply the linearization technique to reduce the studied equation into a linear equation, and for the sake of simplicity assumed that 
 This approach modified and corrected the results in [
24]. Examples are provided to illustrate the importance and novelty of the main results.
  2. Main Results
We begin with the following preliminary results, which will be used in the proof of the main results.
Lemma 1.  Then, an n-tuple  exists with  satisfying the conditions  Proof.  From (
4), we see that
        where 
 The rest of the proof is similar to Lemma 1 of [
25], and hence the details are omitted. This indicates the proof is complete.    □
 Lemma 2  ([
7], Lemma 1.5.1)
. Let  such that   where  and c are non-negative constants. Assume that there exists a constant  such that - (i) 
- If  then  
- (ii) 
- If  then  
 Note that the above lemma is applicable only when the neutral term has discrete delay and not for variable delay term, and it can be used for all values of b except 
The assumption 
 implies that Equation (
1) is in canonical form, and therefore we can use Lemma 1 of [
23] to obtain the following classification for eventually positive solutions of 
.
Lemma 3.  Let  be an eventually positive solution of Equation . Then, there exists a sufficiently large  such that, for all , either
- (I) 
-     or 
- (II) 
-  
                 
                 
                 
 Lemma 4.  Let  be an eventually positive solution of Equation (1) and assume that Case (II) of Lemma 3 holds. Ifwherewith  defined as in Lemma 1, then  Proof.  Since 
 and 
 there exists a constant 
 such that 
 We claim that 
 If not, then by using Lemma 2, we see that 
 Then, there exists 
, such that for all 
 we have
Using the last inequality, we see that
According to Lemma 2, there exists 
 with
The arithmetic–geometric mean inequality (see [
26]) leads to
In view of the above inequality, we obtain
This together with (
8) yields that
Combining (1) and (9), we take
We can further note that there exist constants  and  such that  and 
A method similar to that in Theorem 15 of [
18] leads to the conclusion that 
 This completes the proof.    □
 Remark 1.  In the proof of Lemma 4 (Theorem 1), we used the arithmetic–geometric mean inequality to reduce the sum of n non-negative terms into a single product, and this is essential to obtain the desired result. Also from Lemma 4, we conclude that every positive decreasing solution of (1) tends to zero as 
 Lemma 5.  Let  be a positive solution of (1) with a corresponding function  class (I) for all  Then,
- (i) 
- (ii) 
-  is decreasing, 
- (iii) 
- (iv) 
- (ii) 
-  is decreasing, 
where 
 Proof.  Since 
 class (
I), we see that 
 and decreasing for all 
 Then,
        which proves (
i).
Moreover,
        which implies that 
 is decreasing.
Integrating (
10) from 
 to 
t yields and this proves (
).
        which proves (
).
Since
        or
        where we have used (
), this proves (
).
Finally,
        according to (
). Hence, 
 is decreasing. This completes the proof.    □
 Next, we state and prove the main theorems. In the first result, we use the linearization technique along with the arithmetic–geometric mean inequality to reduce the nonlinear Equation (
1) into a first-order linear delay differential equation.
Theorem 1.  Let condition (
5) 
hold. If the first-order delay differential equationwherewith  defined as in (
6)
, is oscillatory for all large  and for some , then Equation (1) is almost oscillatory.  Proof.  Let 
 be a nonoscillatory solution of (1). Then, with no loss of generality, assume 
 and 
 for 
 for some 
 Then, we know from Lemma 3 that the corresponding function 
 for all 
 and satisfies either 
 or 
. If 
 satisfies case 
, then we know from Lemma 4 that (
7) holds, and we need to consider the other case (
I).
From (1), we see that
        and so
Since  and  there exists a constant  (it is also possible that ) such that 
Consequently, according to Lemma 2, 
 and we conclude that
Using (
13), we see that 
, that is,
In view of Lemma 1, there exists 
 with
The arithmetic–geometric mean inequality (see [
26]) gives
This together with (
15) yields that
Using (
14) and (
16) in (
12), we obtain
From Lemma 5(iii), we see that
        for 
 Since 
 is nonincreasing and 
 we have
Using (
19) in (
17) yields
From (
18) and (
20), we observe that
Let 
 in (
21). We see that 
w is a positive solution of the first-order linear delay differential inequality
The function 
w is clearly strictly decreasing for all 
 and so according to Theorem 1 of [
27], there exists a positive solution of Equation (
11), which contradicts the fact that Equation (
11) is oscillatory. The proof of the theorem is complete.    □
 The next result immediately follows on from Theorem 1 and (Theorem 2.11, [
16]).
Corollary 1.  Let condition (
5) 
hold. Ifwhere  is defined as in Theorem 1, then Equation (1) is almost oscillatory.  In our next theorems, we use Riccati transformation and the integral averaging technique to obtain oscillation results. We split the single integral into three integrals to obtain better conditions for the oscillation of 
Theorem 2.  Let condition (
5) 
hold and  with  Assuming that there exists a function  for sufficiently large  there is a  such thatwhere  with  defined as in (
6) 
and  Then, Equation (1) is almost oscillatory.  Proof.  Let 
 be a nonoscillatory solution of 
 Then, with no loss of generality, assume 
 and 
 for 
 for some 
 Then, from Lemma 3, we see that the corresponding function 
 and satisfies either case 
 or case 
 for all 
 If 
 satisfies case 
, then from Lemma 4, we see that (
7) holds, and we need to consider the other case (
I). It follows from (
18) and the fact that 
 is non-increasing that
        and so
Using this inequality in (
20) yields
Then, 
, and using (
24), we obtain
From Lemma 5(
i), we see that
Combining the last inequality with (
25), we obtain
Using the inequality 
 in (
26), we have
Integrating the above inequality 
 to 
 we obtain
        which contradicts (
23). The proof of the theorem is complete.    □
 Theorem 3.  Let condition (
5) 
hold andwhere  is as defined in Theorem 2. Then, Equation (1) is almost oscillatory.  Proof.  Let 
 be a positive solution of (1) with 
 and 
 for 
 for some 
 Then, the corresponding function 
 and satisfies case 
 or case 
 of Lemma 3 for all 
 If 
 satisfies case 
, then from Lemma 4, we see that (
7) holds, and therefore we need to consider the other case (
I). Proceeding as in the proof of Theorem 2, we arrive at (
24).
Integrating (
24) from 
t to 
∞ yields
Integrating again from 
 to 
t, we obtain
Employing Lemma 5(
), we have
        or
Taking into account the fact that 
 is increasing and 
 is decreasing, one can verify that
        which yields
Taking 
 as 
 on both sides of the last inequality, we are led to a contradiction with (
27). The proof of the theorem is complete.    □
 Theorem 4.  Let condition (
5) 
hold, andwhere  defined as in (6). Then, Equation (1) is almost oscillatory.  Proof.  Let 
 be a positive solution of (1) with 
 and 
 for 
 for some 
 Then, the corresponding function 
 and satisfies case 
 or case 
 of Lemma 3 for all 
 If 
 satisfies case 
, then from Lemma 4, we see that (
7) holds and therefore we need to consider the other case (
I). Proceeding as in the proof of Theorem 2, we arrive at (
24).
From Lemma 5(
) and (
), we have
        and using this inequality in (
24), we obtain
Let 
 Then, we see that 
 is a positive solution of the inequality
Then 
 and satisfies
Multiply the inequality (
29) by 
 and letting 
 we see that
        which contradicts the admissible value of 
 The proof of the theorem is complete.    □
   3. Examples
In this section, we present some examples to illustrate the main results.
Example 1.  Consider the third-order nonlinear neutral differential equation of the formwhere  and  are constants.  Here, 
          A simple computation shows that 
  Condition (
5) becomes
      that is, Condition (
5) is satisfied. Condition (
22) becomes
      that is, Condition (
22) is satisfied if 
 Thus by Corollary 1, Equation (
30) is almost oscillatory if 
 In particular, for 
 we see that 
, and so Equation (
30) is almost oscillatory.
Example 2.  Consider the third-order nonlinear neutral delay differential equationwhere  and  are constants.  Here, 
          Through a simple calculation, we see that 
  Condition (
5) becomes
      that is, Condition (
5) holds. Since 
 then by choosing 
 Condition (
23) is clearly satisfied for all 
 and 
 Therefore, according to Theorem 2, Equation (
31) is almost oscillatory if 
 and 
Example 3.  Consider the third-order nonlinear neutral delay differential equationwhere  and  are constants.  Here, 
          Through a simple calculation, we see that 
 Condition (
5) becomes
      that is, Condition (
5) holds. Condition (
28) becomes
      that is, Condition (
28) holds if 
 Also, Condition (
27) holds if 
 Hence, according to Theorem 4, Equation (
32) is almost oscillatory if 
, and the same conclusion holds according to Theorem 3 if 
 Therefore, Theorem 3 is better than Theorem  4.
Note that using Corollary 1 of [
24], we see that (
32) is almost oscillatory if 
 So, our Theorems 3 and 4 significantly improve Corollary 1 of [
24]. In particular, for 
, we see that Equation (
30) is almost oscillatory according to Theorems 3 and 4, and Corollary 1 of [
24] does not imply this conclusion.
  4. Conclusions
In this paper, we have obtained some new oscillation criteria by using the arithmetic–geometric mean inequality along with the linearization technique and then applying the comparison method and the integral averaging technique. The obtained results improve on those in [
24], and this is illustrated via an example.The results already reported in the literature [
5,
11,
12,
13,
14,
15,
17,
18,
19,
20,
21,
23] cannot be applied to Equations (
30)–(
32), since the number of nonlinear terms is more than one.
Furthermore, using the technique presented in this paper, one can extend the results of this paper to a more general equation, Equation 
 when the function 
 is positive and decreasing with 
 the details are left to the reader. It is an interesting problem to obtain similar results of this paper for Equation 
 and/or higher-order neutral differential equations when the condition 
 is satisfied. Another interesting problem is to obtain conditions under which all solutions of Equation (
1) are only oscillatory.