Advances in Pure Mathematics
Vol.05 No.02(2015), Article ID:53847,10 pages
10.4236/apm.2015.52009
Oscillatory and Asymptotic Behavior of Solutions of Second Order Neutral Delay Difference Equations with “Maxima”
Ramalingam Arul, Manvel Angayarkanni
Department of Mathematics, Kandaswami Kandar’s College, Namakkal, India
Email: drrarul@gmail.com, angayarkanni66@rediffmail.com
Copyright © 2015 by authors and Scientific Research Publishing Inc.
This work is licensed under the Creative Commons Attribution International License (CC BY).
http://creativecommons.org/licenses/by/4.0/



Received 14 January 2015; accepted 2 February 2015; published 6 February 2015
ABSTRACT
In this paper, we study the oscillatory and asymptotic behavior of second order neutral delay difference equation with “maxima” of the form

Examples are given to illustrate the main result.
Keywords:
Second Order, Oscillatory, Asymptotic Behavior, Neutral Delay Difference Equations with “Maxima”

1. Introduction
Consider the oscillatory and asymptotic behavior of second order neutral delay difference equation with “maxima” of the form
(1)
where Δ is the forward difference operator defined by
and
and
is a nonnegative integer subject to the following conditions:
(C1)
and
are positive integers;
(C2)
is a ratio of odd positive integers;
(C3)
and
are nonnegative real sequences with
and
for all
;
(C4)
is a positive real sequence such that
.
Let
. By a solution of Equation (1), we mean a real sequence 

From the review of literature it is well known that there is a lot of results available on the oscillatory and asymptotic behavior of solutions of neutral difference equations, see [1] -[5] , and the references cited therein. But very few results are available in the literature dealing with the oscillatory and asymptotic behavior of solutions of neutral difference equations with “maxima”, see [6] -[9] , and the references cited therein. Therefore, in this paper, we investigate the oscillatory and asymptotic behavior of all solutions of Equation (1). The results obtained in this paper extend that in [4] for equation without “maxima”.
In Section 2, we obtain some sufficient conditions for the oscillation of all solutions of Equation (1). In Section 3, we present some sufficient conditions for the existence of nonoscillatory solutions for the Equation (1) using contraction mapping principle. In Section 4, we present some examples to illustrate the main results.
2. Oscillation Results
In this section, we present some new sufficient conditions for the oscillation of all solutions of Equation (1). Throughout this section we use the following notation without further mention:
and
Lemma 2.1. Let 
(I) 

(II) 

Proof. Let 





Hence 

Lemma 2.2. Let 
(I) 

(II) 

Proof. The proof is similar to that of Lemma 2.1.
Lemma 2.3. The sequence 

The assertion of Lemma 2.3 can be verified easily.
Lemma 2.4. Let 

Proof. From the definition of 



Lemma 2.5. Let 

Proof. Since
or
The proof is now complete.
Lemma 2.6. Let 



Proof. Since 



Theorem 2.1. Assume that





and

then every solution of Equation (1) is oscillatory.
Proof. Assume to the contrary that there exists a nonoscillatory solution 



Case(I). From Lemma 2.4 and Equation (1), we have
or

Define
or

Summing the last inequality from 

Letting
Case(II). Define

Then 


Summing the last inequality from 

Since 


or
or
Thus
So, by 

where
By Mean Value Theorem,
where


Therefore,
Since

From Lemma 2.6, 


From (8) and (9), we have

Multiply (10) by 


Summation by parts formula yields
Using Mean Value Theorem, we obtain
Since
or

Therefore, from (7) and (11), we have
Letting 
Theorem 2.2. Assume that




hold, then every solution of equation (1) is oscillatory.
Proof. Proceeding as in the proof of Theorem 2.1, we see that Lemma 2.1 holds for
Case(I). Proceeding as in the proof of Theorem 2.1 (Case(I)) we obtain a contradiction to (12).
Case(II). Proceeding as in the proof of Theorem 2.1 (Case(II)) we obtain (7) and (10). Multiplying (10) by 


Using the summation by parts formula in the first term of the last inequality and rearranging, we obtain

Inview of (7), we have 

As 
Theorem 2.3. Assume that




then every solution of equation (1) is oscillatory.
Proof. Proceeding as in the proof of Theorem 2.1, we see that Lemma 2.1 holds and Case(I) is eliminated by the condition (2).
Case(II). Proceeding as in the proof of Theorem 2.1 (Case(II)) we have
where
and

Hence
Summing the last inequality from 

Again summing the last inequality from 

Letting 
a contradiction to (14). This completes the proof.
Next, we obtain sufficient conditions for the oscillation of all solutions of Equation (1) when
Theorem 2.4. Assume that




and

then every solution of equation (1) is oscillatory.
Proof. Proceeding as in the proof of Theorem 2.1, we see that Lemma 2.4 holds for
Case(I). Define 
Then 

Using Lemma 2.5 in (18), we obtain

From the monotoncity of
and hence

for some constant 



Letting 
Case(II). Define a function 
Then 

Since

Therefore
Since 


Now using (15) in (22), we obtain
for some constant
Multiplying the last inequality by


Using the summation by parts formula in the first term of the above inequality and rearranging we obtain
Using completing the square in the las term of the left hand side of the last inequality, we obtain
or
Letting 
3. Existence of Nonoscillatory Solutions
In this section, we provide sufficient conditions for the existence of nonoscillatory solutions of Equation (1) in case 


Theorem 3.1. Assume that

and

then Equation (1) has a bounded nonoscillatory solution.
Proof. Choose 

and

for


and let
Define a mapping 
Clearly, T is continuous. Now for every 

Also, from (26) we have
Thus, we have that



By the Mean Value Theorem applied to the function



Thus, T is a contraction mapping, so T has a unique fixed point 


Theorem 3.2. Assume that

then Equation (1) has a bounded nonoscillatory solution.
Proof. Choose 
Let 

and let
Define a mapping 
It is easy to see that T is continuous, 


By the Mean Value Theorem applied to the function



and we see that T is a contraction on S. Hence, T has a unique fixed point which is clearly a positive solution of Equation (1). This completes the proof of the theorem.
4. Examples
In this section we present some examples to illustrate the main results.
Example 4.1. Consider the difference equations

Here 



see that
Example 4.2. Consider the difference equations

Here 





Example 4.3. Consider the difference equations

Here 


Example 4.4. Consider the difference equations

Here 


References
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