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Oscillation of higher order nonlinear dynamic equations on time scales
Advances in Difference Equations volume 2012, Article number: 67 (2012)
Abstract
Some new criteria for the oscillation of n th order nonlinear dynamic equations of the form
are established in delay ξ(t) ≤ t and non-delay ξ(t) = t cases, where n ≥ 2 is a positive integer, λ is the ratio of positive odd integers. Many of the results are new for the corresponding higher order difference equations and differential equations are as special cases.
Mathematics Subject Classification (2011): 34C10; 34C15.
1. Introduction
Consider the n th order nonlinear delay dynamic equation
on an arbitrary time-scale with sup and , where n ≥ 2 is a positive integer, λ is the ratio of positive odd integers, and are real-valued rd-continuous functions, ξ(t) ≤ t, ξΔ(t) ≥ 0, and limt→∞ξ(t) = ∞. Throughout the article by t ≥ s for t, we shall mean . For the forward jump operator σ, we use the usual notation xσ = x ○ σ.
We recall that a solution x of Equation (1.1) is said to be nonoscillatory if there exists a such that x(t)x(σ(t)) > 0 for all t ≥ t0; otherwise, it is said to be oscillatory. Equation (1.1) is said to be oscillatory if all its solutions are oscillatory.
Recently, there has been an increasing interest in studying the oscillatory behavior of first-and second-order dynamic equations on time-scales, see [1–7]. However, there are very few results regarding the oscillation of higher order equations. Therefore, the purpose of this article is to obtain new criteria for the oscillation of Equation (1.1). This topic is fairly new for dynamic equations on time scales. For a general background on time scale calculus, we may refer to [8, 9].
The article is organized as follows: In Section 2, some preliminary lemmas and notations are given, while Section 3 is devoted to the study of Equation (1.1) via comparison with a set of second-order dynamic equations whose oscillatory character is known and have been investigated extensively in the literature. In Section 4, we establish new oscillation criteria for Equation (1.1) when ξ(t) = t for linear, sublinear, and superlinear cases. Further results are presented in Section 5 when there is a special restriction on the function q. We should note that many of our results of this article are new for the corresponding higher order nonlinear differential and difference equations. In fact, the obtained results extend, unify and correlate many of the existing results in the literature.
2. Preliminaries
We shall employ the following lemmas. The first lemma is the well-known Kiguradze's lemma.
Lemma 2.1. Let . If is of constant sign on and not identically zero on for any t1 ≥ t0, then there exist a t x ≥ t0 and an integer ℓ, 0 ≤ ℓ ≤ m with m + ℓ even for , or m + ℓ odd for such that
and
Lemma 2.2. If the inequality
where Q is a positive real-valued, rd-continuous function on , has an eventually positive solution, then the equation
also has an eventually positive solution.
Proof. Let x(t) be an eventually positive solution of inequality (2.3). It is easy to see that xΔ(t) > 0 eventually. Let t0 be sufficiently large so that x(t) > 0 and y(t) =: xΔ(t) > 0 for . Then in view of
(2.3) becomes
Integrating (2.5) from t to u ≥ t ≥ t0 and letting u → ∞, we have
where
Next, we define a sequence of successive approximations {z j (t)} as follows:
It is easy to show that
Thus the sequence {z j (t)} is nonincreasing and bounded for each t ≥ t0. This means we may define z(t) = limj→∞z j (t) ≥ 0. Since 0 ≤ z(t) ≤ z j (t) ≤ y(t) for all j ≥ 0, we find that
By the Lebesgue dominated convergence theorem on time scales, one can easily obtain
Therefore,
where
Then, m(t) > 0 and mΔ(t) = z(t). Equation (2.6) then gives
Hence, Equation (2.4) has a positive solution m(t). This completes the proof. □
Lemma 2.3 ([4]). Suppose |x|Δ is of one sign on and α > 0, α ≠ 1. Then
It will be convenient to employ the Taylor monomials (see [[8], Sect. 1.6]) , , which are defined recursively as follows:
It is clear that h1(t, s) = g1(t, s) = t - s for any time-scales, but simple formulas in general do not hold for n ≥ 2. It is also known that
3. Comparison criteria for delay dynamic equations
In this section, we shall consider the equation
For and ℓ ∈ {1, 2, ..., n - 1}, we define
where
with
Theorem 3.1. Let . Suppose that for every ℓ ∈ {1, 2, ..., n - 1},
Then, Equation (3.1) is oscillatory if
(i) for n even, the equation
for all ℓ ∈ {1, 3, ..., n - 1} is oscillatory;
(ii) for n odd, the Equation (3.3) for all ℓ ∈ {2, 4, ..., n - 1} is oscillatory, and
Proof. Let x(t) be a nonoscillatory solution of Equation (3.1). Without loss of generality, we may assume that x(t) > 0 and x(ξ(t)) > 0 for t ≥ t0, since otherwise the substitution w = -x transforms Equation (3.1) into an equation of the same form subject to the assumptions of the theorem.
By Lemma 2.1, there exist a t1 ≥ t0 and an integer ℓ ∈ {0, 1, ..., n} with n + ℓ odd such that (2.1) and (2.2) hold for all t ≥ t1. We see that
and by Taylor's formula
We claim that
To prove it, set . Because
it suffices to show that X(t) is strictly positive. Suppose on the contrary that X(t) < 0. Then is strictly increasing and hence
where . Using (3.7) in (3.5), we have
Let ℓ = 1, then (3.7) gives x(ξ(t)) ≥ cξ(t) for t ≥ t1 by increasing the size of t1 if necessary. Thus, we obtain
On the other hand, by Taylor's formula we may write that
From (3.9) and (3.10), we have
which contradicts (3.2), and hence completes the proof of the claim.
Now in view of (3.6) it follows from (3.5) that
Replacing t by ξ(t) in (3.12) and using (3.6), we have
for all t ≥ t2 for some t2 ≥ t1.
If ℓ = 1, then we may write that
Thus, from (3.13) and (3.14) for all t ≥ t2,
Substituting (3.15) into (3.10) gives
Set in (3.16), then w(t) > 0 satisfies
By Lemma 2.2, the equation
has a nonoscillatory solution. But this is impossible by the hypothesis.
Finally, we let ℓ = 0. This is the case, when n is odd. By applying Taylor's formula and using (2.2) with ℓ = 0, we can easily find
for v ≥ u ≥ t1, which implies that
for some t3 ≥ t1. Integrating equation (3.1) from ξ(t) ≥ t3 to t ≥ t, we get
Using (3.18) in (3.19), we have
or
Taking the lim sup as t → ∞, we obtain a contradiction to condition (3.4). □
The following immediate result can be extracted from Theorem 3.1.
Corollary 3.1. Let n be an odd and condition (3.4) hold. Then every bounded solution of Equation (3.1) is oscillatory.
Next, we claim that inequality (3.15) can be replaced by
To prove this, we write that
and hence by (3.6) we find
Integrating this inequality (ℓ - 2)-times from t1 to t ≥ t1 and using (3.6), we obtain
Thus, there exists a t2 ≥ t1 such that
This completes the proof of our claim.
Set
and
In view of Theorem 3.1 and inequality (3.20) we may state the following theorem.
Theorem 3.2. In Theorem 3.1, let q ℓ and Q ℓ be replaced by and , respectively. Then the conclusions of Theorem 3.1 hold.
Let , i.e., the continuous case. Here Equation (3.1) becomes
and the functions and take the form
and
From Theorem 3.2 we have the following theorem.
Theorem 3.3. Let . Suppose that for ℓ ∈ {1, 2, ..., n - 1},
Then, Equation (3.21) is oscillatory if
(i) for n even, the equation
for all ℓ ∈ {1, 3, ..., n - 1} is oscillatory;
(ii) for n odd, the Equation (3.23) for all ℓ ∈ {2, 4, ..., n - 1} is oscillatory and
Next, we let , i.e., the discrete case. Then, Equation (3.1) reads as
and the functions and become
and
where t(m)= t(t - 1)(t - 2) ... (t - m + 1) is the usual factorial function.
Theorem 3.4. Let . Suppose that for ℓ ∈ {1, 2, ..., n - 1}
Then, Equation (3.25) is oscillatory if
(i) for n even, the second-order difference equation
for all ℓ ∈ {1, 3, ..., n - 1} is oscillatory;
(ii) for n odd, the Equation (3.27) for all ℓ ∈ {2, 4, ..., n - 1} is oscillatory and
Remark 1. The oscillation of Equation (3.1) is obtained via a comparison with a set of second-order dynamic equations whose oscillatory behavior has been studied extensively in the literature. In fact, there are many sufficient conditions for the oscillation of Equation (3.3) which can be employed rather easily.
4. Even order dynamic equations without delay
In this section, we present new oscillation criteria for (3.1) when n is even. That is, we consider
For , we define
Theorem 4.1. Let λ > 1 and . If for every integer ℓ ∈ {1, 3, ..., 2n - 1},
then Equation (4.1) is oscillatory.
Proof. Let x(t) be a nonoscillatory solution of Equation (4.1), say, x(t) > 0 for t ≥ t0. From Equation (4.1), we see that for t ≥ t0, where is not identically zero for all large t. Using Lemma 2.1 there exist a t1 ≥ t0 and an integer ℓ ∈ {1, 3, ..., 2n - 1} such that (2.1) and (2.2) hold for all t ≥ t1. From (2.1), we see that and decreasing on . Now,
or
Integrating (4.4) (ℓ - 2)-times from t1 to s ≥ t1, we have
Next, we integrate Equation (4.1) from s1 ≥ t1 to v ≥ s1 and let v → ∞ to get
Integrating this inequality from s2 ≥ t1 to v ≥ s2 and then letting v → ∞ and using (2.2), we get
Continuing this process, one can easily find
or
From (4.5) and (4.6), we find
and hence
By employing the first inequality in Lemma 2.3, we get
and so
But this contradicts condition (4.3). The proof is complete. □
Theorem 4.2. Let λ > 1 and . If for every integer ℓ ∈ {1, 3, ..., 2n - 1},
then Equation (4.1) is oscillatory.
Proof. Let x(t) be a nonoscillatory solution of Equation (1.1), say, x(t) > 0 for t ≥ t0. By Taylor's formula, we see that
Using Equation (4.1) in (4.8), we get
Combining (4.8) with (4.9), we find
Dividing both sides by xλ(σ(s)) and integrating from t1 to t ≥ t1, we have
The rest of the proof is similar to that of Theorem 4.1 and hence it is omitted. This completes the proof. □
Next, we apply Theorems 4.1 and 4.2 to obtain oscillation criteria for Equation (4.1) when λ ≤ 1.
Theorem 4.3. Let λ ≤ 1 and . Assume that there exists a positive constant α such that α + λ > 1. If for every ℓ ∈ {1, 3, ..., 2n - 1}, condition (4.3) or (4.7) holds with q(t) replaced by , where c is any positive constant, then Equation (4.1) is oscillatory.
Proof. Let x(t) be a nonoscillatory solution of Equation (4.1) and assume that there exists a t0 > 0 such that x(t) > 0 for t ≥ t0 and (2.1) and (2.2) hold for t ≥ t0. From (2.1) and the decreasing nature of , there exists a constant c1 > 0 such that for t ≥ t0. Integrating this inequality ℓ - times from t0 to t, we have
where c is a positive constant. Now, from Equation (4.1), we have
By applying Theorems 4.1 and 4.2 with inequality (3.20), we arrive at the desired conclusion. This completes the proof. □
Theorem 4.4. Let λ < 1 and . If for every ℓ ∈ {1, 3, ..., 2n - 1},
then Equation (4.1) is oscillatory.
Proof. Let x(t) be a nonoscillatory solution of Equation (4.1), say, x(t) > 0 for t ≥ t0. As in the proof of Theorem 4.1, we see that (2.1) and (2.2) hold for t ≥ t1 ≥ t0. It is easy to see that
and
Therefore,
Using this inequality in Equation (4.1), we get
Set , then
Finally, in view of a chain rule, we integrate the last inequality from t1 to t to get
a contradiction with condition (4.12). □
As an example, we shall reformulate some of the above results for the case , i.e., the discrete case. The Equation (4.1) takes the form
and establish new criteria for the oscillation of Equation (4.13).
We let
Theorem 4.5. Let λ > 1 and . If for every ℓ ∈ {1, 3, ..., 2n - 1},
then Equation (4.13) is oscillatory.
Theorem 4.6. Let λ > 1 and . If for every ℓ ∈ {1, 3, ..., 2n - 1},
then Equation (4.13) is oscillatory.
Theorem 4.7. Let λ < 1 and . If
then Equation (4.13) is oscillatory.
Theorem 4.8. Let λ ≤ 1 and . Assume that there exists a positive constant α such that α + λ > 1. If for every ℓ ∈ {1, 3, ..., 2n - 1} condition (4.14) or (4.15) holds with q(t) be replaced by c q(t)(t)(ℓ)/ℓ!)-α, where c is any positive constant, then Equation (4.13) is oscillatory.
Remark 2. For Equation (4.1) of odd order, one may obtain results for the oscillatory and asymptotic behavior, while for complete oscillation, we may consider Equation (1.1) and employ the technique given in Theorem 3.1. The details are left to the reader.
5. Further oscillation criteria
In this section, we consider
subject to the condition
Note that if x(t), t ≥ t0 is a positive solution of Equation (5.1), then by Lemma 2.1, Equations (2.1), and (2.2) hold for t ≥ t1. Here, we claim that ℓ = n - 1. Otherwise, we find , and on . Integrating Equation (5.1) from t ≥ t1 to u ≥ t and letting u → ∞, we have
Since x is increasing on , there exists a constant c > 0 such that
Using (5.4) in (5.3), we get
Integrating this inequality twice, once from v ≥ t to w ≥ v and letting w → ∞ and then from t1 to t ≥ t1, we have
which contradicts (5.2). Thus, we must have ℓ = n - 1, i.e.,
Thus, we have
Integrating this inequality (n - 2)-times from t1 to t, we obtain
Now, by making use of earlier results in [6], we obtain the following interesting theorems.
Theorem 5.1. Let condition (5.2) hold. If there exists a positive nondecreasing, differentiable function such that for any t1 ≥ t0,
where
then Equation (5.1) is oscillatory.
Proof. Let x(t) be a nonoscillatory solution of Equation (5.1), say, x(t) > 0 for t ≥ t1 ≥ t0.
Define
It is easy to see that for t ≥ t1,
By [[8], Theorem 1.90],
Using (5.9) in (5.8) we have
and hence in view of (5.5), we find
Let λ > 1. Since there exist c > 0 and t2 ≥ t1 such that x(t) ≥ c for all t ≥ t2, we have x1-λ(t) ≤ c1-λ: = c1 for all t ≥ t2. If λ = 1, then x1-λ(t) = 1 for all t ≥ t1. If λ < 1, then there exist b > 0 and t3 ≥ t1 such that for all t ≥ t3, and hence for all t ≥ t3, where c2 : = b1-λ. Combining all these we see that
for some t4 ≥ max{t2, t3}. From (5.10) and (5.11),
Integrating this inequality from t4 to t, we find
Taking limit superior as t → ∞, we obtain a contradiction to condition (5.6). This completes the proof. □
In the following result, we employ the lemma below, see [10].
Lemma 5.1. If X and Y are nonnegative and α > 1, then
where equality holds if and only if X = Y.
Theorem 5.2. Let condition (5.2) hold. If there exists a positive, nondecreasing, differentiable function such that for any t1 ≥ t0,
where
then Equation (5.1) is oscillatory.
Proof. Let x(t) be a nonoscillatory solution of Equation (5.1), say, x(t) > 0 for t ≥ t0. Let w be as in (5.7). Then (5.8) and (5.9) hold. We also have
Using the fact that ℓ = n - 1 and
in (5.15), we obtain
If λ > 1, then from xσ(t) ≥ xσ(t1) for t ≥ t1, we have (xσ(t))λ-1≥ c1 = (xσ(t1))λ-1. In case λ = 1, (xσ(t))λ-1= 1 for all t ≥ t1. Finally, let λ < 1. We see that there exist t2 ≥ t1 and b > 0 such that for all t ≥ t2. It follows that x(t) ≤ bhn-1(t, t1) for all t ≥ t2, and hence for all t ≥ t2, where c2 = bλ-1. Putting all these together, we have
In view of (5.17) and (5.16), we find
Now, setting
and α = (λ + 1)/λ > 1 in Lemma 5.1, we have
Therefore, from (5.18)
Integrating this inequality from t2 to t results in
which contradicts (5.15). This completes the proof. □
Finally, we present the following result.
Theorem 5.3. Let condition (5.2) hold. If there exists a positive, nondecreasing differentiable function η such that for any t1 ≥ t0,
where B(t, t0) is as in (5.14), then Equation (5.1) is oscillatory.
Proof. Let x(t) be a nonoscillatory solution of Equation (5.1), say, x(t) > 0 for t ≥ t0. Proceeding as in the proof of Theorem 5.2, we obtain
where B = B(t, t1) and hn-2= hn-2(t, t1). Since
it follows that
Integrating this inequality from t2 to t, we have
which contradicts (5.19). This completes the proof. □
Remark 3. We note that the oscillation criteria given in this article are new for the corresponding difference equations and some of these results are new for the corresponding differential and/or delay differential equations. The results can be extended easily to equations of the form
when is continuous and f is strongly superlinear or f is strongly sublinear, see [4].
As examples, we have reformulated some of the obtained results for the time-scales (i.e., the continuous case) and (i.e., the discrete case). One may obtain more results by employing other types of time scales such as with h > 0, with q > 1, and , see [8]. The details are left to the reader.
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Grace, S.R., Agarwal, R.P. & Zafer, A. Oscillation of higher order nonlinear dynamic equations on time scales. Adv Differ Equ 2012, 67 (2012). https://doi.org/10.1186/1687-1847-2012-67
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DOI: https://doi.org/10.1186/1687-1847-2012-67
Keywords
- oscillation
- neutral
- time scale
- higher order