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Regularly Varying Solutions of SecondOrder Difference Equations with Arbitrary Sign Coefficient
Advances in Difference Equations volume 2010, Article number: 673761 (2010)
Abstract
Necessary and sufficient conditions for regular or slow variation of all positive solutions of a secondorder linear difference equation with arbitrary sign coefficient are established. Relations with the socalled classification are also analyzed and a generalization of the results to the halflinear case completes the paper.
1. Introduction
We consider the secondorder linear difference equation
on , where is an arbitrary sequence.
The principal aim of this paper is to study asymptotic behavior of positive solutions to (1.1) in the framework of discrete regular variation. Our results extend the existing ones for (1.1), see [1], where the additional condition was assumed. We point out that the relaxation of this condition requires a different approach. At the same time, our results can be seen as a discrete counterpart to the ones for linear differential equations, see, for example, [2]. As a byproduct, we obtain new nonoscillation criterion of HilleNehari type. We also examine relations with the socalled classification (i.e., the classification of monotone solutions with respect to their limit behavior and the limit behavior of their difference). We point out that such relations could be established also in the continuous case, but, as far as we know, they have not been derived yet. In addition, we discuss relations with the sets of recessive and dominant solutions. A possible extension to the case of halflinear difference equations is also indicated.
The paper is organized as follows. In the next section we recall the concept of regularly varying sequences and mention some useful properties of (1.1) which are needed later. In the main section, that is, Section 3, we establish sufficient and necessary conditions guaranteeing that (1.1) has regularly varying solutions. Relations with the classification is analyzed in Section 4. The paper is concluded by the section devoted to the generalization to the halflinear case.
2. Preliminaries
In this section we recall basic properties of regularly and slowly varying sequences and present some useful information concerning (1.1).
The theory of regularly varying sequences (sometimes called Karamata sequences), initiated by Karamata [3] in the thirties, received a fundamental contribution in the seventies with the papers by Seneta et al. (see [4, 5]) starting from which quite many papers about regularly varying sequences have appeared, see [6] and the references therein. Here we make use of the following definition, which is a modification of the one given in [5], and is equivalent to the classical one, but it is more suitable for some applications to difference equations, see [6].
Definition 2.1.
A positive sequence , , is said to be regularly varying of index, , if there exists and a positive sequence such that
If , then is said to be slowly varying. Let us denote by the totality of regularly varying sequences of index and by the totality of slowly varying sequences. A positive sequence is said to be normalized regularly varying of index if it satisfies . If , then is called a normalized slowly varying sequence. In the sequel, and will denote, respectively, the set of all normalized regularly varying sequences of index , and the set of all normalized slowly varying sequences. For instance, the sequence , and the sequence , for every ; on the other hand, the sequence .
The main properties of regularly varying sequences, useful to the development of the theory in the subsequent sections, are listed in the following proposition. The proofs of the statements can be found in [1], see also [4, 5].
Proposition 2.2.
Regularly varying sequences have the following properties.

(i)
A sequence if and only if , where tends to a positive constant and tends to 0 as . Moreover, if and only if , where .

(ii)
A sequence if and only if , where tends to a positive constant and tends to as .

(iii)
If a sequence , then in the representation formulae given in (i) and (ii), it holds const, and the representation is unique. Moreover, if and only if , where .

(iv)
Let . If one of the following conditions holds (a) and , or (b) and , or (c) and , then .

(v)
Let . Then and for every .

(vi)
Let and . Then and . The same holds if is replaced by .

(vii)
If , , is strictly convex, that is, for every , then is decreasing provided , and it is increasing provided . If , , is strictly concave for every , then is increasing and .

(viii)
If , then .
Concerning (1.1), a nontrivial solution of (1.1) is called nonoscillatory if it is eventually of one sign, otherwise it is said to be oscillatory. As a consequence of the Sturm separation theorem, one solution of (1.1) is oscillatory if and only if every solution of (1.1) is oscillatory. Hence we can speak about oscillation or nonoscillation of equation (1.1). A classification of nonoscillatory solutions in case is eventually of one sign, will be recalled in Section 4. Nonoscillation of (1.1) can be characterized in terms of solvability of a Riccati difference equation; the methods based on this relation are referred to as the Riccati technique: equation (1.1) is nonoscillatory if and only if there is and a sequence satisfying
with for . Note that, dealing with nonoscillatory solutions of (1.1), we may restrict our considerations just to eventually positive solutions without loss of generality.
We end this section recalling the definition of recessive solution of (1.1). Assume that (1.1) is nonoscillatory. A solution of (1.1) is said to be a recessive solution if for any other solution of (1.1), with , , it holds . Recessive solutions are uniquely determined up to a constant factor, and any other linearly independent solution is called a dominant solution. Let be a solution of (1.1), positive for . The following characterization holds: is recessive if and only if ; is dominant if and only if .
3. Regularly Varying Solutions of Linear Difference Equations
In this section we prove conditions guaranteeing that (1.1) has regularly varying solutions. Hereinafter, means , where and are arbitrary positive sequences.
Let and denote by , the (real) roots of the quadratic equation . Note that , , , and .
Theorem 3.1.
Equation (1.1) is nonoscillatory and has a fundamental system of solutions such that and if and only if
where with as . Moreover, is a recessive solution, is a dominant solution, and every eventually positive solution of (1.1) is normalized regularly varying, with .
Proof.
First we show the last part of the statement. Let be a fundamental set of solutions of (1.1), with , , and let be an arbitrary solution of (1.1), with for sufficiently large. Since , it can be written as , where , by Proposition 2.2. Then as . By Proposition 2.2, , and as , being . Hence, there is such that for , and
as . This shows that is a recessive solution of (1.1). Clearly, is a dominant solution, and . Now, let be such that . Since is eventually positive, if , then necessarily and . If , then we get because of the positivity of for large and the strict inequality between the indices of regular variation . Moreover, . Indeed, taking into account that , , and , it results
Now we prove the main statement.
Necessity
Let be a solution of (1.1) positive for . Set . Then , , and for any , provided is sufficiently large. Moreover, satisfies the Riccati difference equation (2.2) and for sufficiently large. Now we show that converges. For any we have for large , say . Hence,
Summing now (2.2) from to we get
in particular we see that converges. The discrete L'Hospital rule yields
Hence, multiplying (3.5) by we get
as , that is, (3.1) holds. The same approach shows that implies (3.1).
Sufficiency
First we prove the existence of a solution of (1.1). Set . We look for a solution of (1.1) in the form
, with some . In order that is a (nonoscillatory) solution of (1.1), we need to determine in (3.8) in such a way that
is a solution of the Riccati difference equation
satisfying for large . If, moreover, , then by Proposition 2.2. Expressing (3.10) in terms of , in view of (3.9), we get
that is,
where is defined by
Introduce the auxiliary sequence
where sufficiently large will be determined later. Note that with , hence is positively decreasing toward zero, see Proposition 2.2. It will be convenient to rewrite (3.12) in terms of . Multiplying (3.12) by and using the identities and , we obtain
If as , summation of (3.15) from to yields
Solvability of this equation will be examined by means of the contraction mapping theorem in the Banach space of sequences converging towards zero. The following properties of will play a crucial role in the proof. The first two are immediate consequences of the discrete L'Hospital rule and of the property of regular variation of :
Further we claim that
Indeed, first note that , and so . By the discrete L'Hospital rule we now have that
since , in view of . Denote . Taking into account that , and that (3.17) and (3.19) hold, it is possible to choose and in such a way that
Let be the Banach space of all the sequences defined on and converging to zero, endowed with the sup norm. Let denote the set
and define the operator by
. First we show that . Assume that . Then , where , , and . In view of (3.21), (3.22), and (3.23), we have
. Thanks to (3.22) and (3.24), we get
. Finally, summation by parts, (3.25), and (3.26) yield
. Hence, , . Next we prove that . Since , we have by (3.18). Since , we have by (3.18). Finally, the discrete L'Hospital rule yields
and . Altogether we get , and so . Hence, , which implies . Now we prove that is a contraction mapping on . Let . Then, for , , where , , and . In view of (3.22), we have
Before we estimate , we need some auxiliary computations. The Lagrange mean value theorem yields , where for . Since
then, in view of (3.22),
. Finally, using summation by parts, we get
, where
Noting that for defined in (3.27) it holds, , we get for . This implies , where by virtue of (3.27).
Now, thanks to the contraction mapping theorem, there exists a unique element such that . Thus is a solution of (3.16), and hence of (3.11), and is positively decreasing towards zero. Clearly, defined by (3.9) is such that and therefore for large . This implies that defined by (3.8) is a nonoscillatory (positive) solution of (1.1). Since , we get , see Proposition 2.2. By the same proposition, can be written as , where .
Next we show that for a linearly independent solution of (1.1) we get . A second linearly independent solution is given by . Put . Then and by Proposition 2.2. Taking into account that is recessive and being (see Proposition 2.2), the discrete L'Hospital rule yields
Hence, , that is, , where . Since by Proposition 2.2, we get by Proposition 2.2. It remains to show that is normalized. We have
Thanks to this identity, since and , we obtain , which implies .
Remark 3.2.
(i) In the above proof, the contraction mapping theorem was used to construct a recessive solution . A dominant solution resulted from by means of the known formula for linearly independent solutions. A suitable modification of the approach used for the recessive solution leads to the direct construction of a dominant solution . This can be useful, for instance, in the halflinear case, where we do not have a formula for linearly independent solutions, see Section 5.
(ii) A closer examination of the proof of Theorem 3.1 shows that we have proved a slightly stronger result. Indeed, it results
Theorem 3.1 can be seen as an extension of [1, Theorems 1 and 2] in which is assumed to be a negative sequence, or as a discrete counterpart of [2, Theorems 1.10 and 1.11], see also [7, Theorem 2.3].
As a direct consequence of Theorem 3.1 we have obtained the following new nonoscillation criterion.
Corollary 3.3.
If there exists the limit
then (1.1) is nonoscillatory.
Remark 3.4.
In [8] it was proved that, if
then (1.1) is nonoscillatory. Corollary 3.3 extends this result in case exists.
4. Relations with Classification
Throughout this section we assume that is eventually of one sign. In this case, all nonoscillatory solutions of (1.1) are eventually monotone, together with their first difference, and therefore can be a priori classified according to their monotonicity and to the values of the limits at infinity of themselves and of their first difference. A classification of this kind is sometimes called classification, see, for example, [9–12] for a complete treatment including more general equations. The aim of this section is to analyze the relations between the classification of the eventually positive solutions according to their regularly varying behavior, and the classification. The relations with the set of recessive solutions and the set of dominant solutions will be also discussed. We point out that all the results in this section could be established also in the continuous case and, as far as we know, have never been derived both in the discrete and in the continuous case.
Because of linearity, without loss of generality, we consider only eventually positive solutions of (1.1). Since the situation differs depending on the sign of , we treat separately the two cases. Note that (1.1), with negative, has already been investigated in [1], and therefore here we limit ourselves to state the main results, for the sake of completeness.

(I)
for
Any nonoscillatory solution of (1.1), in this case, satisfies for large , that is, all eventually positive solutions are increasing and concave. We denote this property by saying that is of class , being (1.1), for large . This class can be divided in the subclasses
depending on the possible values of the limits of and of . Solutions in , , are sometimes called, respectively, dominant solutions, intermediate solutions, and subdominant solutions, since, for large , it holds for every , , and . The existence of solutions in each subclass, is completely characterized by the convergence or the divergence of the series
see [11, 12]. The following relations hold
Let
Since , then the following relations between and hold:

(i)
if then ;

(ii)
if then .
From Theorem 3.1, it follows that, if , then (1.1) has a fundamental set of solutions with , and ; if , then (1.1) has a fundamental set of solutions with , and , . Further, all the positive solutions of (1.1) belong to in the first case, and to in the second one. Set
By means of the above notation, the results proved in Theorem 3.1 can be summarized as follows
By observing that every solution satisfies and that , we get the following result.
Theorem 4.1.
For (1.1), with for large , the following hold.

(i)
If and , then , with .

(ii)
If and , then .

(iii)
If then .
The above theorem shows how the study of the regular variation of the solutions and the classification supplement each other to give an asymptotic description of nonoscillatory solutions. Indeed, for instance, in case (i) the classification gives the additional information that all slowly varying solutions tend to a positive constant, while all the regularly varying solutions of index 1 are asymptotic to a positive multiple of . On the other hand, in the remaining two cases, the study of the regular variation of the solutions gives the additional information that the positive solutions, even if they are all diverging with first difference tending to zero, have two possible asymptotic behaviors, since they can be slowly varying or regularly varying with index 1 in case (ii), or regularly varying with two different indices in case (iii). This distinction between eventually positive solutions is particularly meaningful in the study of dominant and recessive solutions. Let denote the set of all positive recessive solutions of (1.1) and denote the set of all positive dominant solutions of (1.1). From Theorem 4.1, taking into account Theorem 3.1, the following characterization of recessive and dominant solution holds.

(i)
If and , then and .

(ii)
If and , then and .

(iii)
If and , then and .

(II)
for
In this case, completely analyzed in [1], any positive solution is either decreasing or eventually increasing. We say that is of class in the first case, of class in the second one. It is easy to verify that every satisfies , and every satisfies . Therefore the sets and can be divided into the following subclasses
Also in this case, the existence of solutions of (1.1) in each subclass is completely described by the convergence or divergence of the series given by (4.2)
Let
Notice that, being negative for large , it results . The following holds.
Theorem 4.2 (see [1]).
For (1.1), with for large , it results in what follows.

(i)
If and , then and .

(ii)
If and , then and .

(iii)
If , then and .
Relations between recessive/dominant solutions and regularly varying solutions can be easily derived from the previous theorem, see also [1]. We have the following.

(i)
If and , then , and .

(ii)
If and , then , and .

(iii)
If , then , and .
We end this section by remarking that in this case positive solutions are convex and therefore they can exhibit also a rapidly varying behavior, unlike the previous case in which positive solutions are concave. We address the reader interested in this subject to the paper [1], in which the properties of rapidly varying sequences are described and the existence of rapidly varying solutions of (1.1) is completely analyzed for the case .
5. Regularly Varying Solutions of HalfLinear Difference Equations
In this short section we show how the results of Section 3 can be extended to halflinear difference equations of the form
where and , , for every . For basic information on qualitative theory of (5.1) see, for example, [13].
Let and denote by , the (real) roots of the equation . Note that and .
Theorem 5.1.
Equation (5.1) is nonoscillatory and has two solutions such that and if and only if
Proof.
The main idea of the proof is the analogous of the linear case, apart from some additional technical problems. We omit all the details, pointing out only the main differences.
Necessity
Set , then satisfies the generalized Riccati equation
and . The proof can then proceed analogously to the linear case.
Sufficiency
The existence of both solutions and needs to be proved by a fixedpoint approach, since in the halflinear case there is no reduction of order formula for computing a linearly independent solution. For instance, a solution can be searched in the form
(compare with (3.8)), where and is such that is a solution of (5.3). All the other details are left to the reader.
Remark 5.2.
Theorem 5.1 can be seen as an extension of [6, Theorem 1] in which is assumed to be a negative sequence, and as a discrete counterpart of [14, Theorem 3.1].
A closer examination of the proof of Theorem 5.1 shows that we have proved a slightly stronger result which reads as follows:
Similarly as in the linear case, as a direct consequence of Theorem 5.1 we obtain the following new nonoscillation criterion. Recall that a Sturm type separation theorem holds for equation (5.1), see [13], hence one solution of (5.1) is nonoscillatory if and only if every solution of (5.1) is nonoscillatory.
Corollary 5.3.
If there exists the limit
then (5.1) is nonoscillatory.
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Acknowledgments
This work was supported by the grants 201/10/1032 and 201/08/0469 of the Czech Grant Agency and by the Institutional Research Plan No. AV0Z10190503.
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Matucci, S., Řehák, P. Regularly Varying Solutions of SecondOrder Difference Equations with Arbitrary Sign Coefficient. Adv Differ Equ 2010, 673761 (2010). https://doi.org/10.1155/2010/673761
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Keywords
 Difference Equation
 Regular Variation
 Vary Solution
 Nonoscillatory Solution
 Linear Difference Equation