1. Introduction
The main objective of this paper is to analyze the oscillatory properties of solutions to the following second-order noncanonical neutral difference equation
where
is a positive integer, both
and
are expressed as ratios of odd positive integers with
greater than or equal to
Also we assume that
- (H1)
The sequences and are positive real-valued, and satisfies
- (H2)
Two positive integers, and , are given with
- (H3)
Equation (
1) is in noncanonical form, that is,
For the sake of brevity, we let
The solution of (
1) is a real sequence
that is defined for
and satisfies (
1) for all
“A proper solution of (
1) is called oscillatory if it is neither eventually positive nor eventually negative; otherwise we call it nonoscillatory. The Equation (
1) itself is called oscillatory if all its solutions are oscillatory”.
It follows from [
1], that Equation (
1) is in canonical form if
and is in the noncanonical form if
Neutral difference equations are a class of functional difference equations in which the highest-order difference of the unknown sequence appears both with and without deviating arguments. Noncanonical second-order neutral difference equations are particularly important for analyzing complex nonlinear discrete systems, where future states depend on both current and past rates of change. They capture memory effects in population biology, economics, and engineering, and can often be transformed into simpler canonical forms to study oscillation, asymptotic behavior, and stability. Such equations have attracted considerable interest among researchers not only for their theoretical significance but also for their wide-ranging applications across diverse fields. Applications of these equations can be found in [
2,
3,
4,
5] and the references cited therein.
Taking the neutral coefficient in neutral difference equations is critical because it fundamentally alters stability and asymptotic behavior, often driving solutions toward instability, oscillation, or convergence, unlike the stable damping behavior associated with The condition is essential for describing higher-order, nonlinear, or delayed feedback mechanisms in engineering and biological models. Similarly, the condition is necessary to introduce a delay effect in the considered equation. Conversely, if , the equation may reduce to a non-delay or advanced type, thereby changing its qualitative behavior.
Oscillation in difference equations, where solutions alternate around an equilibrium, is critical for modeling, predicting, and controlling discrete dynamical systems. It reveals stability, periodicity, and chaotic tendencies in fields such as biology, economics, and engineering by identifying whether solutions diverge, converge, or fluctuate due to delayed feedback or discrete time steps. Understanding oscillation is essential to ensure that discrete, time-stepping models accurately capture the inherently fluctuating nature of real-world physical and biological systems. Therefore, oscillation theory remains one of the most important and continuously developing branches of the qualitative theory of difference equations.
Following the pioneering work of Hartman [
6] on well-known results concerning the oscillation of second-order difference equations, considerable interest has arisen in establishing oscillation criteria for various classes of difference equations using diverse methods. Several techniques have been developed for this purpose; among the most widely employed are the Riccati transformation, summation averaging techniques, comparison theorems, and linearization methods. For further details, see the monographs [
2,
3], the papers [
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18], and the references cited therein.
In particular, Koplatadze [
19] focus on the canonical form of a delay difference equation
where
is a positive integer, and proved Equation (
2) was oscillatory if
Later, in [
20], the authors proved the following to guarantee the oscillation of the noncanonical equation
namely,
In [
3], the authors extended the result obtained in [
19] to Equation (
4) when it is in noncanonical form. In [
21], the authors studied Equation (
1) or its particular cases with
and in canonical form using the linearization technique along with the Koplatadze method.
In [
22], the authors demonstrated that
along with
implies the oscillation of all solutions of the neutral difference equation
In [
23,
24], the authors studied Equation (
1) or its particular cases when either
or
and obtained criteria for the oscillation of all solutions of the studied equation.
Most existing results focus on canonical-type equations because these equations are easier to handle and possess only one set of nonoscillatory solutions. Consequently, a single condition is sufficient to obtain oscillation results. In contrast, noncanonical-type equations admit two sets of nonoscillatory solutions, and oscillation criteria for such equations are typically derived by employing comparison theorems and summation averaging techniques for different values of and
Recently, in [
25], the authors consider the Equation (
1) with
and
and obtained some oscillation criteria by applying the comparison technique and Koplatadze method.
Motivated by the aforementioned studies, and using a combination of the linearization technique with the monotonic properties of the neutral term, our objective is to present new oscillation criteria for Equation (
1) for different values of
and
Moreover, in contrast to the results reported in [
23,
24], an important aspect of our findings is that the oscillation of Equation (
1) is ensured through a single condition. Additionally, four numerical examples are provided to demonstrate the novelty and significance of our main results in the existing literature. The proof technique employed here is based in part on recent contributions [
26,
27] to the oscillation theory of functional differential equations.
In particular, we assume that
is a solution of (
1). Under this assumption,
is also a solution of (
1). When considering nonoscillatory solutions, it is sufficient to examine only the positive ones, since the proofs for negative solutions are analogous due to the structure of (
1).
2. Oscillation Results
In this section, we present a single-condition criterion for the oscillation of Equation (
1). For convenience, we set
and
Lemma 1. Let be an eventually positive solution of (
1)
on Ifthen the corresponding sequence belongs to the class eventually, where Proof. Let
be an eventually positive solution of (
1) on
and there exists an
such that
and
for all
Now, for
and
which implies that
is of one sign eventually, that is,
or
eventually. We claim that
eventually. If this is not true, then there is an integer
such that
for
It is easy to see that by Mean-Value Theorem, we find
From (
8),
is a ratio of odd positive integers, we conclude that from (
7)
Hence
Now
which implies that
for
for some integer
that is,
is nonincreasing for
From the definition of
we have
Since
is nonincreasing, we see that
and using (
10) in (
9) yields
By
and the fact that
we see that there exists an integer
such that for any
and
Using this in (
11) gives
where
Inserting (
12) into (
1) yields
for
By the monotonicity of
we have
and so the inequality (
13) becomes
Since
is positive, decreasing and
we can choose a sufficiently large integer
such that
Let
Summing (
14) from
to
∞ and taking (
15) into account, we obtain
which is a contradiction in view of (
6) and so
eventually and this ends the proof. □
Lemma 2. Let be an eventually positive solution of (1) on If (
6)
holds, then the following are satisfied eventually: - (i)
- (ii)
is nondecreasing;
- (iii)
and
- (iv)
Proof. Choose
so that
and
for all
Proceeding as in the proof of Lemma 1, we again see that the corresponding sequence
belongs to the class
eventually, say, for
for some integer
Since
is negative and decreasing,
which implies that part
holds.
From (
16), we see that
that is, part
is fulfilled.
Since
we get
and, using this in (
16), we observe that
which proves
From the monotonic property of
for
we can choose
such that
We will show that
If
then there is an integer
such that for any
Since
and using this in (
9) yields
which together with
gives
Combining (
19) with (
1) gives
for
for some
In view of (
8), we can rewrite (
20) as
By virtue of (
17) and (
21), we obtain
for
From (
18) and (
22), we see that
for
where
Summing (
23) two times yields
which is a contradiction. This contradiction proves that
and the proof ends. □
Now, we are ready to derive oscillation conditions for (
1) when
Lemma 3. Let be an eventually positive solution of (
1)
on If (
6)
holds, then the corresponding sequence satisfies the linear inequalitiesandeventually. Proof. Proceeding as in the proof of Lemma 2, we arrive at (
22) for
Since
is positive, decreasing and
there exists a sufficiently large
such that
In view of (
26) and
we have
From (
26) and the fact that
we have
and therefore obtain
Using (
28) in (
22)
for
for some
Using (
27) in (
29) leads to
for
which proves (
26).
From (
30) and the fact that
we find that
for
that is, (
25) holds. This ends the proof. □
Our first oscillation criterion is of Koplatadze type.
Theorem 1. Ifwherethen Equation (
1)
oscillates. Proof. For the sake of contradiction, assume
is a nonoscillatory solution of (
1), such that
and
for
but condition (
32) holds. Then, from (
32), there exists a positive constant
c such that
We now prove that (
33) implies (
6). Indeed, if not, then
Therefore, there exists a sufficiently large
such that
Now, since
is positive, decreasing, and
we find that there exists a sufficiently large
such that (
15) holds. Let
Then, for
it follows from (
15) and (
34) that
Also, for
Hence, from (
35) and (
36), we deduce that
which contradicts (
33) and this contradiction implies that (
6) holds. Thus, all the results of Lemmas 1–3 are satisfied. Proceeding exactly as in the proof of Lemma 3, we again arrive at (
24) and (
25) for
Summing (
25) from
to
∞ yields
Taking summation of (
24) from
to
gives
Combining (
37) and (
38), one gets
Using the monotonicity properties of
and
we obtain
and
Using (
40), (
41) in (
39), we get
Taking
as
in the previous inequality, we get a contradiction with (
32). This completes the proof. □
From the above theorem, we immediately obtain the following corollary.
Corollary 1. Let . Ifwherethen Equation (
1)
oscillates. The following criterion is of Myshkis type and so different from the previous results.
Theorem 2. Ifthen Equation (
1)
oscillates. Proof. Let
be a nonoscillatory solution of (
1), such that
and
for all
It is clear that (
43) implies that (
6). Hence, all the results of Lemmas 1–3 are satisfied. From Lemma 3, we have (
25). Let
and taking
into account, we obtain from (
25) that
Summing the last inequality from
to
gives
from which
Letting the
as
we see a contradiction with (
43). This ends the proof. □
Next, we derive the oscillation criteria for the case In our previous results, we have used the fact that as but in our next results, we use as
Lemma 4. Let be an eventually positive solution of (1) on Ifthen and Proof. Once again from the monotonic properties of
we see that there exists a sufficiently large
such that (
15) holds. By (
15) and
we obtain
from which,
On the other hand, in view of (
46), we find that (
44) implies (
6). So all the conditions of Lemmas 1 and 2 hold. The proofs followed from Lemma 2, we obtain (
23) holds. Since
as
and
as
by L’Hospital’s rule
Now, we show that
Indeed, if it is not true, then there is a constant
such that
This, together with a summation of (
23) from
to
gives
which contradicts (
44) and we deduce that
This ends the proof. □
Lemma 5. Let be an eventually positive solution of (
1)
on If (
44)
holds, thenandeventually. Proof. Since (
44) implies (
6), we see that all the conditions of Lemmas 1, 2, and 4 are satisfied. The proofs followed by Lemma 2, we see that (
22) holds for all
Since
as
there exists a sufficiently large
such that
By (
49) and
and
Since
as
we can choose an integer
such that
for
and so from (
51)
Let
Using (
52) in (
22) yields
for all
Using that
is decreasing,
and
it follows from (
53) that
for
Using (
50) in (
54) gives
for
which proves (
47). Recalling (
25) again, we can rewrite (
55) in the form
for
which proves (
48). This ends the proof. □
Proof. Choose
such that
and
for
It is clear that (
56) yields that
Using the monotonic property of
and
gives
In view of (
57) and (
58), we observe that (
56) implies (
44).
Hence, all the conditions of Lemma 4 and Lemma 5 are satisfied. The proofs followed by Lemma 5, we again lead to (
48). Summing (
19) from
to
we obtain
which, together with
yields
From the last inequality, we get
Taking
as
we obtain a contradiction to (
56) and this ends the proof. □
The conditions required to get oscillation in [
23,
24] compared with our results are given in
Table 1.
Therefore, it is easier to apply our results in applications than that in [
23,
24].
Remark 1. The results obtained in this paper can be easily extended to a more general equation of the formwhere and without any difficulty. This form of equation include α and β are any real numbers. 3. Examples
In this section, four examples are provided to illustrate the significance of the main results. The first example may be used in population biology to model species growth and interaction. The second example may be used in signal processing in communication systems to model how signals decay with distance but still oscillate due to interference. The third example may be used in control systems and delayed feedback to model feedback loops in mechanical systems where oscillation persists. The last example serves as a counterexample. In all cases, we present at least one explicit solution.
Example 1. Consider the half-linear neutral difference equationwhere Here,
, and
It is easy to see that the hypotheses
–
are clearly satisfied. Further, a simple calculation shows that
,
, and
The condition (
43) becomes
By Theorem 2, the Equation (
59) is oscillatory and in fact
is one such oscillatory solution of Equation (
59).
Example 2. Consider the second-order nonlinear neutral difference equationwhere Here
and
It is easy to see that the hypotheses
–
clearly hold. By a simple calculation, we see that
and
The condition (
32) becomes
Now, by applying Theorem 1, Equation (
60) is oscillatory and in fact
is one such oscillatory solution of Equation (
60).
Example 3. Consider the nonlinear second-order neutral delay difference equationwhere Here,
, and
It is easy to see that the hypotheses
–
clearly hold. By a simple calculation, we find that
and
The condition (
56) becomes
that is, condition (
56) holds. Hence, by Theorem 3, Equation (
61) is oscillatory and in fact
is one such oscillatory solution of Equation (
61).
Next, we present a counterexample showing that if one condition is not satisfied, then the equation may fail to be oscillatory and instead admit a nonoscillatory solution.
Example 4. Consider the nonlinear second-order neutral delay difference equationwhere Here
and
The hypotheses
–
are clearly satisfied. A simple computation shows that
, and
The condition (
43) becomes
that is, condition (
43) is not satisfied. Hence, by Theorem 2, Equation (
62) is not oscillatory and in fact Equation (
62) has a nonoscillatory solution
Remark 2. From the four examples, we see that:
- (i)
If conditions are satisfied then oscillatory solutions appear (persistent cycle);
- (ii)
If one condition fails (as in Example 4) nonoscillatory solutions emerge, showing stable, monotone behavior;
- (iii)
This demonstrates how changes in parameters and σ directly control whether a system oscillates or stabilizes.