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# Oscillation constants for half-linear difference equations with coefficients having mean values

*Advances in Difference Equations*
**volume 2015**, Article number: 210 (2015)

## Abstract

We investigate second order half-linear Euler type difference equations whose coefficients have mean values. We show that these equations are conditionally oscillatory and we explicitly identify the corresponding oscillation constants given by the coefficients. Our results generalize the known ones concerning equations with positive constant, periodic, or (asymptotically) almost periodic coefficients. We also demonstrate the obtained results on examples and we give corollaries. In particular, we get new results even for linear difference equations.

## 1 Introduction

This paper is devoted to the oscillatory properties of the half-linear difference equations

where \(r_{k}\) is positive for all considered *k*. Throughout the whole paper, we consider integers \(k \ge a\) for a sufficiently large number \(a \in\mathbb{N}\). For the reader’s convenience, we use the notation \(\mathbb{N}_{a} :=\{n \in\mathbb{N}: n\geq a\}\) for \(a \in\mathbb{N}\). Our aim is to find explicit oscillation constants for all equations (1.1) from a large class of equations.

To recall the notion of the (critical) oscillation constant, we consider (1.1) with

*i.e.*, in the form

where \(\gamma\in\mathbb{R}\) and \(k^{(p)}\) stands for the generalized power function (also called the falling factorial power) given by

For details about \(k^{(p)}\), see, *e.g.*, Chapter 2 in [1]. Equation (1.2) is said to be *conditionally oscillatory* if there exists a constant \(\Lambda> 0\) such that (1.2) is oscillatory for \(\gamma>\Lambda\) and non-oscillatory for \(\gamma<\Lambda\). The constant Λ (which is dependent on coefficients) is called the (critical) *oscillation constant* of (1.2).

Concerning the conditional oscillation of the studied difference equations, the first result comes from [2], where the equation

was proved to be conditionally oscillatory with the oscillation constant \(\Lambda=1/4\). Equations with non-constant coefficients were analyzed in [3]. In [4], the conditional oscillation of the linear equation

with almost periodic coefficients was obtained. In [5], this result was generalized for half-linear equations of the form (1.2) with positive asymptotically almost periodic sequences \(\{r_{k}\}\), \(\{ s_{k}\}\).

Since the main result of [5] is one of the basic motivations for the research presented here, we reformulate it as follows. We remark that the symbol \(M(\cdot)\) stands for the mean values of the indicated sequences clarified in Definition 2 below and that the definition of asymptotic almost periodicity is mentioned in Definition 4 below.

### Theorem 1

*Let*
\(\gamma\in\mathbb{R}\)
*be given and let*
\(\{r_{k}\}_{k \in\mathbb{N}_{a}}\)
*and*
\(\{s_{k}\}_{k \in\mathbb{N}_{a}}\)
*be arbitrary positive asymptotically almost periodic sequences such that*

*Let*

*If*
\(\gamma> \Lambda\), *then* (1.2) *is oscillatory*. *If*
\(\gamma< \Lambda\), *then* (1.2) *is non*-*oscillatory*.

Our second basic motivation comes from the continuous case. We begin with a short historical summary of the studied problem. The first attempt to treat the conditional oscillation can be found in [6], where the oscillation constant \(\Lambda=1/4\) was identified for the equation

In [7, 8], this result was extended to linear differential equations

with positive *α*-periodic coefficients *r*, *s* and with the oscillation constant

For more general results, we refer, *e.g.*, to [9–12].

The concept of the conditional oscillation was transferred to half-linear differential equations in [13] (see also [14]), where the oscillation constant

was obtained for the equation

During the last years, the conditional oscillation was resolved for half-linear differential equations with positive periodic coefficients (see [15]) and half-linear equations with more general coefficients (see, *e.g.*, [16–19]). Along this line, the most relevant result for our research comes from [20]. Since it is our second main motivation, we mention the main result of [20] in full. We remark that \(\mathbb{R}_{a} :=[a,\infty)\) and \(M(\cdot)\) also stands for the mean values of considered functions (for details, see [20]).

### Theorem 2

*Let*
\(r: \mathbb{R}_{a} \to\mathbb{R}\)
*be a continuous function*, *for which mean value*
\(M ({r^{\frac{1}{1-p}}} )\)
*exists and for which we have*

*and let*
\(s: \mathbb{R}_{a} \to\mathbb{R}\)
*be a continuous function having mean value*
\(M(s)\). *Let*

*Consider the equation*

*Equation* (1.3) *is oscillatory if*
\(M(s) > \Gamma\), *and non*-*oscillatory if*
\(M(s) < \Gamma\).

In this paper, we intend to generalize Theorem 1 to the case that the coefficients have mean values and the second coefficient can change sign. It means that our aim is to prove the discrete counterpart of Theorem 2. For this purpose, we improve the method from [5]. Since we study equations with coefficients from more general classes, we have to prove some new auxiliary results and inequalities (especially, we need Lemmas 1 and 2 below). Note that we partially apply the processes used in [5] (see the proof of Theorem 5 below, where it is explicitly mentioned).

The paper is organized as follows. In the next section, we state the necessary background and we recall the so-called Riccati technique, which is essential for our investigation. In Section 3, the reader can find preparatory lemmas, results, and corollaries. In Section 4, we collect illustrative examples.

Throughout the paper, we will consider an arbitrarily given number \(p> 1\) from the shape of \(\Phi(x) = |x|^{p-1} \operatorname{sgn}x\). We will use the standard notation of conjugated numbers *p*, *q*, which means that \(q > 1\) will denote the real number satisfying

## 2 Preliminaries

In this section, we mention the needed background concerning the oscillation theory of half-linear difference equations. For more details, we refer to Chapter 3 in [21] and Chapter 8 in [22] with references cited therein. In addition, we recall the concept of mean values which is necessary to find general oscillation constants. We also state the concept of the (adapted) half-linear Riccati equation which is the main tool in our investigation.

At first, we recall the basic notions from the oscillation theory of the half-linear equation

where \(r_{k} > 0\) for all considered \(k \in\mathbb{N}_{a}\). An interval \((l, l +1]\), \(l \in\mathbb{N}_{a}\), contains the *generalized zero* of a solution \(\{x_{k}\}\) of (2.1) if \(x_{l} \ne0\) and \(x_{l}x_{l + 1} \le0\). We say that (2.1) is *disconjugate* on a set \(\{ l,l+1,\ldots,l + n \}\) if any solution of (2.1) has at most one generalized zero on \((l, l + n + 1 ]\) and a solution \(\{\tilde{x}_{k}\}\) given by the initial value \(\tilde {x}_{l} = 0\) has no generalized zero on \((l,l + n+1]\). Otherwise, (2.1) is called *conjugate* on \(\{l, l +1, \ldots,l + n \}\). Now we can formulate the following definition.

### Definition 1

Equation (2.1) is called *non*-*oscillatory* if there exists \(l \in\mathbb{N}\) with the property that (2.1) is disconjugate on \(\{l, l+ 1, \ldots, l + n\}\) for all \(n \in\mathbb{N}\). In the opposite case, (2.1) is called *oscillatory*.

The Sturm type separation theorem (see, *e.g.*, Theorem 3.3.6 in [21]) enables us to give Definition 1, because the oscillation of an arbitrary non-zero solution of (2.1) implies the oscillation of all solutions of (2.1). We will also use a consequence of the Sturm type comparison theorem. We mention only the form that is suitable for our purpose.

### Theorem 3

*Let*
\(\{y_{k}\}_{k \in\mathbb{N}_{a}}\), \(\{Y_{k}\}_{k \in\mathbb{N}_{a}}\), \(\{ z_{k}\}_{k \in\mathbb{N}_{a}}\), \(\{Z_{k}\}_{k \in\mathbb{N}_{a}}\)
*be sequences satisfying the inequalities*
\(y_{k} \ge Y_{k} > 0\), \(Z_{k} \geq z_{k}\)
*for all sufficiently large*
*k*. *Let us consider the equations*

*If* (2.3) *is non*-*oscillatory*, *then* (2.2) *is non*-*oscillatory as well*.

### Proof

The theorem follows, *e.g.*, from Theorem 3.3.5 in [21]. □

To obtain explicit oscillation constants, we need the definition of the mean value of a sequence.

### Definition 2

Let a sequence \(\{f_{k}\}_{k \in\mathbb{N}_{a}} \subset\mathbb{R}\) be given and let the limit

be finite and exist uniformly with respect to \(i \in\mathbb{N}_{a}\). The number \(M (\{f_{k}\})\) introduced in (2.4) is called the *mean value* of \(\{f_{k}\}\).

An important class of sequences having mean values is formed by asymptotically almost periodic sequences (see also [5]). Hence, we formulate the next definitions.

### Definition 3

A sequence \(\{f_{k}\}_{k \in\mathbb{Z}} \subset \mathbb{R}\) is called *almost periodic* if, for any \(\varepsilon > 0\), there exists \(P(\varepsilon) \in\mathbb{N}\) such that any set of the form \(\{i, i+ 1, \ldots, i + P(\varepsilon) - 1 \} \subset \mathbb{Z}\) contains an integer *l* for which \(\vert f_{k} - f_{k + l} \vert < \varepsilon\), \(k \in\mathbb {Z}\).

### Definition 4

We say that a sequence \(\{f_{k}\}_{k \in\mathbb{N}_{a}} \subset\mathbb{R}\) is *asymptotically almost periodic* if there exists a pair of sequences \(\{f_{k}^{1}\}_{k \in\mathbb{Z}}, \{f_{k}^{2}\}_{k \in\mathbb {N}_{a}} \subset\mathbb{R}\) such that \(\{f_{k}^{1}\}\) is almost periodic, \(\{f_{k}^{2}\}\) satisfies \(\lim_{k \to\infty} f_{k}^{2} = 0\), and \(\{f_{k} \}_{k \in \mathbb{N}_{a}} \equiv\{ f_{k}^{1} + f_{k}^{2} \}_{k \in\mathbb{N}_{a}}\).

Finally, we describe the half-linear Riccati equation and its adapted version. Using the so-called Riccati substitution

to (2.1), we obtain the associated Riccati equation

where \(\Phi^{ - 1}\) denotes the inverse function of Φ, *i.e.*, \(\Phi^{ -1}(x) = |x|^{q -1} \operatorname{sgn}x\). Under the condition \(w_{k}+r_{k} > 0\), we can express (see Lemma 3.2.6, (I_{8}) in [21])

where \(\beta_{k}\) is between \(\Phi^{-1}(r_{k})\) and \(\Phi^{-1}(r_{k}) + \Phi^{-1}(w_{k})\); *i.e.*, for \(w_{k}+r_{k} > 0\), we have the Riccati equation (2.5) associated to (2.1) in the form

The following theorem is typically known as the Riccati method. It shows the way in which the non-oscillation of (2.1) is connected to the solvability of (2.6).

### Theorem 4

*Equation* (2.1) *is non*-*oscillatory if and only if there exist an integer*
*b*
*and a sequence of*
\(w_{k}\)
*which solves* (2.6) *and satisfies*
\(w_{k}+r_{k}>0\)
*for*
\(k \in\mathbb{N}_{b}\).

### Proof

The theorem is a consequence of the well-known roundabout theorem (see, *e.g.*, Theorem 3.3.4 in [21] or directly Theorem 8.2.5 in [22]). □

Taking into account the second substitution

together with the Riccati equation (2.6), we obtain the adapted Riccati equation associated to (2.1) as

where \(\beta_{k}\) is between \(\Phi^{-1}(r_{k})\) and \(\Phi^{-1}(r_{k}) + \Phi^{-1} (-\frac{\zeta_{k}}{k^{(p-1)}} )\).

In fact, we will consider (2.1) in the form

where sequence \(\{r_{k}\}_{k \in\mathbb{N}_{a}}\) has mean value \(M(\{ r_{k}^{1-q}\}) = 1\) and

and where sequence \(\{s_{k}\}_{k \in\mathbb{N}_{a}}\) has a positive mean value, *i.e.*, \(M(\{s_{k}\})> 0\). Therefore, we will deal with the Riccati equation associated to (2.9) in the form (see (2.6))

and with the adapted Riccati equation (see (2.8))

## 3 Results

To prove the main results, we need the following lemmas.

### Lemma 1

*Let a sequence*
\(\{f_{k}\}_{k \in\mathbb{N}_{a}} \subset\mathbb{R}\)
*have mean value*
\(M(\{f_{k}\})\). *There exists a number*
\(K(\{f_{k}\}) > 0\)
*for which*
\(|f_{k}| < K(\{f_{k}\})\), \(k \in\mathbb{N}_{a}\).

### Proof

The existence of \(M(\{f_{k}\})\) gives \(m \in\mathbb{N}\) such that

From (3.1) it follows that

Especially,

Thus, we have

Finally, we have

On the contrary, let us suppose that \(\limsup_{k \to\infty} |f_{k}| = \infty\). If

for some \(i \in\mathbb{N}_{a}\), then

Analogously, if

for some \(i \in\mathbb{N}_{a}\), then

Of course, each one of inequalities (3.2), (3.3) gives a contradiction with (3.1) for \(l = 0\). It means that it suffices to put

for *m* from (3.1). □

Henceforth, let \(m \in\mathbb{N}\) be such that

We also put (*cf.* (2.10))

where we use Lemma 1.

### Lemma 2

*If* (2.9) *is non*-*oscillatory*, *then there exist*
\(L \in\mathbb{N}\)
*and a negative solution*
\(\{\zeta_{k}\}_{k \in \mathbb{N}_{L}}\)
*of* (2.12) *such that*

### Proof

Considering Theorem 4, the non-oscillation of (2.9) implies that there exist \(L \in\mathbb{N}\) and a solution \(\{w_{k}\}_{k \in\mathbb{N}_{L}}\) of (2.11) such that \(w_{k}+r_{k}>0\) for \(k \geq L\). Considering (2.7), it gives the solution \(\{\zeta_{k}\}_{k \in\mathbb{N}_{L}} \equiv\{- w_{k} k^{(p-1)}\}_{k \in\mathbb{N}_{L}}\) of (2.12). We show that this solution \(\{\zeta_{k}\}\) is negative and satisfies (3.6).

In fact, we show that the sequences \(\{w_{mk}\}, \{w_{mk + 1}\}, \ldots, \{w_{mk + m -1}\}\) are decreasing for sufficiently large *k* and tend to zero. Let \(j \in\{0, 1, \ldots, m -1\}\) be arbitrarily given. From (2.11), we have

for all considered *k*. Since \(\{s_{k}\}\) is bounded (consider Lemma 1) and

using (3.4), we obtain

for all large *k*. Considering \(w_{k}+r_{k}>0\) for \(k \geq L\), it is seen that

From (3.7), (3.8), (3.9), we get \(w_{(k+1)m + j} < w_{mk + j} \) for all large *k*. Thus, there exist limits (as real numbers or −∞)

Our aim is to prove that \(L_{j} = 0\) for each \(j\in\{0, 1, \ldots, m - 1\}\). On contrary, let us consider that \(L_{j} \ne0\) for some *j*. Denote \(W := \max_{k \in\mathbb{N}_{L}} w_{k}\).

Let \(L_{j} > \varepsilon> 0\). We know that

and that

for all *k*. Hence (see (3.10)), there exists \(B_{j} > 0\) with the property that

In addition, for large *k*, we have (see (3.7), (3.8), (3.9), (3.11), and (3.12))

But we obtain the contradiction \(L_{j} = - \infty\), because the last term is a negative constant.

Let \(L_{j} < -\varepsilon< 0\), *i.e.*, \(w_{mk + j} < -\varepsilon\) for large *k*. In this case, for large *k*, we have

if \(p \ge2\); and

if \(p \in(1,2)\). Again, for any \(p > 1\), we get \(L_{j} = - \infty\), which cannot be true, because \(w_{k} + r_{k} > 0\) for all *k* and \(\{r_{k}\}\) is bounded.

Altogether, we know that \(\{w_{k}\}\) is positive and

Thus, \(\{\zeta_{k}\}\) is negative and (3.6) follows from (3.13). □

We remark that, in the case that the sequence of \(s_{k}\) is positive, the statement of Lemma 2 follows from Lemma 1, (v) and Theorem 1 in [23] combined with Lemma 3.5.9 in [21] or with Lemma 8.2.2 in [22].

### Lemma 3

*If there exists a negative solution*
\(\{\zeta_{k}\}_{k \in\mathbb{N}_{L}}\)
*of* (2.12), *then* (2.9) *is non*-*oscillatory*.

### Proof

A negative solution \(\{\zeta_{k}\}_{k \in\mathbb{N}_{L}}\) of (2.12) gives \(\{w_{k}\}_{k \in\mathbb{N}_{L}} \equiv\{- \zeta_{k}/k^{(p-1)}\}_{k \in \mathbb{N}_{L}}\), which is a positive solution of (2.11). Thus, the lemma follows from Theorem 4. □

Applying the above lemmas, we can obtain the announced result. For the reader’s convenience, we recall the assumptions on the coefficients.

### Theorem 5

*Let sequence*
\(\{r_{k}\}_{k \in\mathbb {N}_{a}}\)
*have mean value*
\(M(\{r_{k}^{1-q}\}) = 1\)
*and satisfy* (2.10) *and let sequence*
\(\{s_{k}\}_{k \in\mathbb{N}_{a}}\)
*have mean value*
\(M(\{ s_{k}\})> 0\). *Then* (2.9) *is oscillatory for*
\(M(\{s_{k}\}) > q^{-p}\)
*and non*-*oscillatory for*
\(M(\{s_{k}\}) < q^{-p}\).

### Proof

At first, let us approach the oscillatory part of the theorem. By contradiction, we suppose that \(M(\{s_{k}\}) > q^{-p}\) and that (2.9) is non-oscillatory. Using Lemma 2, we obtain the existence of a negative solution \(\{\zeta_{k} \}_{k \in\mathbb{N}_{L}}\) of (2.12); *i.e.*, we have

where

From Lemma 2 (see (2.10), (3.6), and (3.15)), we also obtain

From (3.16) it follows that

It is well known that

Thus (see (2.10), (3.17), and (3.18)), we can assume that \(L > p - 2\) is so large that

and that

Combining (3.19) and (3.20), we obtain

for all \(k \ge L\).

Considering (3.14) and (3.21), we have (see also (3.5))

and

If

for some \(i \ge L\), then

Thus, in this case, we have \(\zeta_{i +1} > \zeta_{i} \). Indeed, (3.22) and (3.25) give

if (3.24) is valid. Let us consider the smallest integer \(l_{0} \ge L\) such that \(\zeta_{l_{0}} \ge X_{1}\). Note that such a number \(l_{0}\) has to exist because its existence follows from (3.26) and from

Using (3.22), we have

Analogously, one can get that \(\zeta_{j+1} \ge X_{2}\) if \(\zeta_{j} \ge X_{1}\) for some \(j\ge l_{0}\). Hence, there exists \(N > 0 \) satisfying

In fact, it suffices to put

Trivially, from (3.22) and (3.23) (or directly from (3.14)), it is seen that

Therefore, there exists \(P > 0\) for which

Especially, (3.29) gives \(Q > 0\) such that

Indeed (consider (3.28)), inequalities (3.29) and (3.30) are valid for

and \(Q := (m-1 )P\).

In addition (see Definition 2), we can assume that \(m \in \mathbb{N}\) from (3.4) is so large that

To obtain the oscillatory part of the theorem, one can proceed as in the proof of Theorem 4.1 in [5], where only (3.4), (3.17), (3.18), (3.27), (3.30), and (3.31) are used to get a contradiction with the existence of the negative solution \(\{\zeta_{k}\}_{k \in\mathbb{N}_{L}}\) (in fact, these inequalities are used only in special forms therein).

In the non-oscillatory part of the proof, we consider that \(m \in\mathbb{N}\) satisfies

Let \(\{\zeta_{k}\}_{k \in\mathbb{N}_{L}}\) be the solution of the Cauchy problem given by (2.12) and

where \(L\in\mathbb{N}\) is sufficiently large. As in the first part of the proof, we obtain (3.22) and (3.23) if \(\zeta_{k} \) is negative. Thus, we can assume that *L* is so large that

In addition (compare (3.33) with (3.27)), as in the first part, one can estimate

for some \(\widetilde{P}, \widetilde{Q} > 0\). Now the process from the proof of Theorem 4.1 in [5] shows that \(\zeta_{k}\) is negative for all \(k \ge L\), because only (3.4), (3.17), (3.18), (3.32), (3.34), and (3.35) are used therein. Hence, to complete the proof, it suffices to apply Lemma 3. □

We slightly improve Theorem 5 into the following form (more common in the literature). In particular, we remove the requirement on sequence \(\{s_{k}\}\) that it has a positive mean value.

### Theorem 6

*Let us consider the equation*

*where the coefficients*
\(\{\tilde{r}_{k}\}_{k \in\mathbb{N}_{a}}\), \(\{ \tilde{s}_{k}\}_{k \in\mathbb{N}_{a}}\)
*be such that the mean values of sequences*
\(\{\tilde{r}_{k}^{1-q} \}\), \(\{ \tilde{s}_{k}\}\)
*exist and*
\(\{\tilde{r}_{k}\}\)
*is bounded and positive*. *Let us denote*

*Equation* (3.36) *is oscillatory if*
\(M(\{\tilde{s}_{k}\}) > \Gamma\). *Equation* (3.36) *is non*-*oscillatory if*
\(M(\{\tilde{s}_{k}\}) < \Gamma\).

### Proof

Considering Lemma 1 for \(\{\tilde{r}_{k}^{1-q} \}\) and the boundedness of \(\{\tilde {r}_{k}\}\), we know that

We use Theorem 5. Therefore, we assume that \(M(\{\tilde{s}_{k}\}) > 0\).

We divide (3.36) by the constant value \([M ( \{\tilde{r}_{k}^{1-q} \} ) ]^{1-p} > 0\) (see (3.38)). We obtain the equation

which has the form of (2.9) with the coefficients

Especially, we have

where the identity

is used.

According to Theorem 5, (3.39) is oscillatory if

and non-oscillatory if

This fact implies the statement of Theorem 6 for any positive mean value of \(\{\tilde{s}_{k}\}\).

Now, let \(M(\{\tilde{s}_{k}\}) \leq0\). Then there exists a positive constant *C* such that

We consider the non-oscillatory equation

which is a majorant equation of (3.36). Thus, the proof can be completed by the application of Theorem 3. □

Since the presented results are new also for linear difference equations (the case that \(p=q=2\)), we mention the following direct corollary of Theorem 6.

### Corollary 1

*Let us consider the equation*

*where the sequences*
\(\{r_{k}\}_{k \in\mathbb{N}_{a}}\)
*and*
\(\{s_{k}\}_{k \in \mathbb{N}_{a}}\)
*have the properties that*
\(M(\{r_{k}^{-1}\}) \)
*and*
\(M(\{ s_{k}\})\)
*exist and*
\(\{r_{k}\}\)
*is bounded and positive*. *Then* (3.41) *is oscillatory for*

*and non*-*oscillatory for*

Based on results of [24] (see also [25, 26]), the conjecture is given in our previous paper [5] that the border case \(M ( \{{r_{k}^{-1}} \} ) M(\{s_{k}\}) = 1/4 \) from Corollary 1 is not solvable for general coefficients; *i.e.*, in the border case, there exist oscillatory equations in the form of (3.41) and, at the same time, there exist non-oscillatory equations in this form.

In addition, using the Sturm type comparison theorem, we get the next new result concerning non-oscillatory half-linear difference equations when the coefficient in the difference term does not need to be bounded.

### Theorem 7

*Let us consider* (3.36) *and* Γ *introduced in* (3.37). *Let the coefficients*
\(\{\tilde{r}_{k}\}_{k \in\mathbb{N}_{a}}\), \(\{\tilde{s}_{k}\}_{k \in\mathbb{N}_{a}}\)
*be such that the mean values of sequences*
\(\{\tilde{r}_{k}^{1-q} \}\), \(\{ \tilde{s}_{k}\}\)
*exist and*
\(\{\tilde{r}_{k}\}\)
*is positive*. *Then* (3.36) *is non*-*oscillatory if*
\(M(\{\tilde{s}_{k}\}) < \Gamma\).

### Proof

The inequality \(M(\{\tilde{s}_{k}\}) < \Gamma\) can be trivially rewritten into the form

for some \(\delta> 0\). In particular, there exists \(\vartheta> 0\) for which

From Definition 2 and (3.40), it is seen that the sequence \(\{\tilde{R}_{k}\}_{k \in\mathbb{N}_{a}}\) given by

satisfies

In addition, sequence \(\{\tilde{R}_{k}\}\) is bounded. Thus, we can apply Theorem 6 which guarantees that the equation

is non-oscillatory (see (3.43) and (3.44)). Of course, (3.45) is a majorant of (3.36) because \(\tilde{R}_{k} \le\tilde {r}_{k}\) for all considered *k* (see again (3.40)). Finally, it suffices to use Theorem 3. □

Again, from the theorem above, we obtain a new result in the linear case. The linear version of Theorem 7 reads as follows.

### Corollary 2

*Let us consider* (3.41) *with the coefficients*
\(\{r_{k}\}_{k \in\mathbb{N}_{a}}\)
*and*
\(\{s_{k}\}_{k \in\mathbb{N}_{a}}\)
*such that*
\(M(\{r_{k}^{-1}\}) \)
*and*
\(M(\{s_{k}\})\)
*exist and*
\(\{r_{k}\}\)
*is positive*. *Then* (3.41) *is non*-*oscillatory if* (3.42) *is valid*.

## 4 Examples

In this section, we give some simple examples of oscillatory and non-oscillatory equations whose oscillatory properties do not follow from any previously known oscillation or non-oscillation criteria. To illustrate Theorems 5, 6, 7 and Corollaries 1, 2, we mention Examples 1, 2, 4 and Examples 3, 5, respectively.

### Example 1

Let \(a, b > 0\) be arbitrary. The equation

has evidently the form of (2.9). Since

(4.1) is oscillatory for \(2a > q^{-p} \pi\) and non-oscillatory for \(2a < q^{-p} \pi\).

### Example 2

Let \(\lambda, \mu\in\mathbb{R}\) be arbitrarily given, where \(\vert \mu \vert > |\lambda|\). Let us consider the equation

which has the form of (3.36) for

Since

and

considering Theorem 6, we know that (4.2) is oscillatory for

and non-oscillatory for \(\lambda< \Gamma\).

### Example 3

Let \(K_{1}, L_{1}, K_{2}, L_{2} > 0\). We define the sequence \(\{r_{k}\}_{k \in\mathbb{N}}\) by the formula

and the sequence \(\{s_{k}\}_{k \in\mathbb{N}}\) by

If we consider these functions as the coefficients in (3.41), then this equation is oscillatory for

and non-oscillatory for \(K_{1}> 4K_{2} \). Indeed, we can apply Corollary 1.

### Example 4

Let \(\gamma> 0\). We use Theorem 7 for the following equation:

where \(p = 3/2\) (*i.e.*, \(q = 3\)) and

for all large \(k \in\mathbb{N}\). One can easily verify that

and that

Thus, (4.3) is non-oscillatory if \(2\gamma > 3\sqrt{15} \).

### Example 5

For any \(c < 1/4\), the linear equation

satisfies all assumptions of Corollary 2. It is seen that

which means that (4.4) is non-oscillatory.

Now we briefly explain why the oscillatory problems in the above examples are not covered by any previously known results (see also Theorem 1). In both of Examples 1 and 2, the second coefficient changes its sign. In Example 3, the coefficients are not asymptotically almost periodic. In Example 4, the coefficient in the difference term is not bounded. In the last example, the first coefficient is not asymptotically almost periodic and, at the same time, it is not bounded.

As a final remark, we focus our attention on the denominators of the potentials considered in Examples 2 and 4, where \((k+1)^{(p)}\) and \((k+1)^{(3/2)}\) is replaced by \(k^{(p)}\) and \(\sqrt {k^{3}}\), respectively. In fact, all presented results remain true if we replace the coefficients \(\{s_{k}\}\) or \(\{\tilde{s}_{k}\}\) by \(\{f_{k} \cdot s_{k}\}\) or \(\{f_{k} \cdot\tilde{s}_{k}\}\) for any sequence of real numbers \(f_{k}\) satisfying \(\lim_{k \to\infty } f_{k} = 1\). Indeed, the existence of \(M(\{h_{k}\})\) implies that \(M(\{h_{k} \cdot g_{k}\}) = M(\{h_{k}\})\) whenever \(\lim_{k \to\infty} g_{k} = 1\) (consider Definition 2 and Lemma 1). Note that we consider the denominator \((k+1)^{(p)}\) due to the form of previously known results (see Section 1).

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The first author is supported by Grant P201/10/1032 of the Czech Science Foundation. The second author is supported by the project ‘Employment of Best Young Scientists for International Cooperation Empowerment’ (CZ.1.07/2.3.00/30.0037) co-financed from European Social Fund and the state budget of the Czech Republic.

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Hasil, P., Veselý, M. Oscillation constants for half-linear difference equations with coefficients having mean values.
*Adv Differ Equ* **2015**, 210 (2015). https://doi.org/10.1186/s13662-015-0544-1

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DOI: https://doi.org/10.1186/s13662-015-0544-1