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ISSN 2291-8639

Volume 14, Number 1 (2017), 42-51

http://www.etamaths.com

OSCILLATION CRITERIA FOR SECOND-ORDER NONLINEAR FUNCTIONAL DYNAMIC EQUATIONS WITH DAMPING ON TIME SCALES

EM˙INE TU ˇGLA AND FATMA SERAP TOPAL∗

Abstract. In this paper, we study oscillatory behavior of second-order dynamic equations with damping under some assumptions on time scales. New theorems extend and improve the results in the literature. Illustrative examples are given.

1. Introduction

During the past decades, the questions regarding the study of oscillatory properties of differential equations with damping or distributed deviating arguments have become an important area of research due to the fact that such equations arise in many real life problems.

In 1988, Hilger introduced the theory of time scales in his Ph.D. thesis [1] in order to unify continuous and discrete analysis; see also [4]. Preliminaries about time scale calculus can be found in [2, 3] and omitted here.

There has been much research achievement about the oscillation of dynamic equations on time scales in the last few years; see the papers [5-8, 10,11, 13-16, 18-20] and the references therein.

In [9], Chen et al. investigated the oscillation of a second-order nonlinear dynamic equation with positive and negative coefficients of the form

(r(t)x∆(t))4+p(t)f(x(ξ(t)))q(t)f(x(δ(t))) = 0.

In [17], S.enel concerned with the oscillatory behavior of all solutions of nonlinear second order damped dynamic equation

(r(t)Ψ(x∆(t)))+p(t)Ψ(x(t)) +q(t)f(xσ(t)) = 0.

In [12], Erbe et al. studied the oscillatory behavior of the solutions of the second order nonlinear functional dynamic equation

(a(t)(x∆(t))γ)+

n X

i=0

pi(t)Φαi(x(gi(t))) = 0,

on an arbitrary time scaleT.

In this study, we are concerned with the oscillation of solutions of second order dynamic equations with damping terms of the following form

(r(t)g(x(t), x∆(t)))∆+p(t)g(x(t), x∆(t))+q1(t)f1(x(τ1(t)))+q2(t)f2(x(τ2(t))) = 0 (1.1) on a time scaleTsuch that infT=t0and supT=∞.

This paper is organized as follows. In this section we give some assumptions and lemmas that we need through our work. In Section 2, we establish some new sufficient conditions for oscillation of (1.1). Finally, in Section 3, we present some examples to illustrate our results.

Now, we mention some definitions and lemmas from calculus on time scales which can be found in [2-3].

Lemma 1.1. Assume thatg :T→R is strictly increasing and that T˜ :=g(T) ={g(t) :t ∈T} is a

time scale. Iff :T→Ris an rd-continuous functions,gis differentiable with rd-continuous derivative,

Received 10th January, 2017; accepted 17thMarch, 2017; published 2ndMay, 2017. 2010Mathematics Subject Classification. 4K11; 39A10; 39A99.

Key words and phrases. nonlinear dynamic equations; damping equations; oscillation solutions; time scales.

c

2017 Authors retain the copyrights of their papers, and all open access articles are distributed under the terms of the Creative Commons Attribution License.

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anda, b∈T, then

Z b

a

f(t)g4(t)4t=

Z g(b)

g(a)

(f ◦g−1)(s) ˜4s,

whereg−1 is the inverse function ofg and4˜ denotes the derivative on T˜.

Lemma 1.2. Every rd-continuous function has an antiderivative. In particular if t0 ∈ T, then F

defined by

F(t) :=

Z t

t0

f(τ)4τ for t∈T

is an antiderivative off.

Lemma 1.3. Assume that f : T→R is strictly increasing and thatT˜ :=f(T) = {f(t) :t∈T} is a

time scale. Letg: ˜T→R. If f4(t)andg4˜(f(t))exist for t∈Tκ, then

(g◦f)4= (g4˜ ◦f)f4,

where4˜ denotes the derivative on T˜.

Definition 1.1. A functionp:TRis said to be regressive provided1 +µ(t)p(t)6= 0for allt∈Tκ, whereµ(t) =σ(t)−t.The set of all regressive rd-continuous functionsp:T→R is denoted byR.

Letp∈ Rfor allt∈T.The exponential function onTis defined by

ep(t, s) = exp Z t

s

ζµ(r)(p(r))∆r

whereζµ(s)is the cylinder transformation given by

ζµ(r)(p(r)) :=

1

µ(r)Log(1 +µ(r)p(r)), ifµ(r)>0;

p(r), ifµ(r) = 0.

The exponential function y(t) = ep(t, s) is the solution to the initial value problem y∆ = p(t)y,

y(s) = 1.Other properties of the exponential function are given in the following lemma [3, Theorem 1.39].

Lemma 1.4. Letp, q∈ R.Then i. e0(t, s)≡1 andep(t, t)≡1; ii. ep(σ(t), s) = (1 +µ(t)p(t))ep(t, s); iii. e 1

p(t,s)=e (t, s)where, p(t) =−

p(t) 1+µ(t)p(t);

iv. ep(t, s) = e 1

p(s,t) =e p(s, t);

v. ep(t, s)ep(s, r) =ep(t, r); vi. ep(t, s)eq(t, s) =ep⊕q(t, s); vii. ep(t,s)

eq(t,s) =ep q(t, s);

viii. e 1

p(.,s)

=−eσp(t) p(.,s)

.

Throughout this paper we assume that the followings: (C1) t0∈Tand [t0,∞)T={t∈T:t≥t0},

(C2) r∈Crd([t0,∞)T,(0,∞)) andR

t0

1

r(t)∆t=∞, (C3) p, q1, q2∈Crd([t0,∞)T,[0,∞))

(C4) τ1, τ2∈Crd(T,T), lim

t→∞τ1(t) = limt→∞τ2(t) =∞, τ2 has inverse function τ −1

2 ∈Crd(T,T), v:=

τ2−1◦τ1∈Crd(T,T), τ1∆, v ∆C

rd([t0,∞)T,(0,∞)), τ1(t), v(t)≤t for t∈[t0,∞)T, τ1([t0,∞)T) = [τ1(t0),∞)T, v([t0,∞)T) = [v(t0),∞)T, whereτ1([t0,∞)T) ={τ1(t) :t ∈[t0,∞)T} andv([t0,∞)T) = {v(t) :t∈[t0,∞)T},

(C5) f1, f2 ∈C(R,R),there exist positive constants L1, L2, M such that

f1(u)

u ≥L1, 0 < f2(u)

u ≤

L2 and|f2(u)|≤M for u6= 0 and q1(t) ep

r(σ(t),t0 )

L1−q2(v(t))L2v∆(t)>0 for t[t0,) T,

(C6) g ∈ C(R×R,R), there exist positive constants L3 such that

g(u,v)

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0 for v6= 0,

(C7)

Z ∞

t 1

r(s)

Z s

v(s)

q2(u)∆u

∆s <∞ for every sufficiently large t∈T,

(C8) −pr((tt)) is positively regressive, which means 1−µ(t)pr((tt))>0. The following lemma has an important role to prove our main results.

Lemma 1.5. Assume that(C1)−(C7)hold. Furthermore, suppose that x is a positive solution of(1.1)

on[t0,∞)T, then

r(t)g(x(t), x(t))

ep r(t,t0)

<0 andx∆(t)>0 on[t0,) T.

Proof. Easily we get

r(t)g(x(t), x(t))

e−p r(t,t0)

= (r(t)g(x(t), x

(t)))e

−pr(t,t0)−(e−pr(t,t0))

r(t)g(x(t), x(t))

e−p r(t,t0)e−

p r(σ(t),t0)

= (r(t)g(x(t), x

(t)))+p(t)g(x(t), x(t))

ep r(σ(t),t0)

= −q1(t)f1(x(τ1(t)))−q2(t)f2(x(τ2(t))) ep

r(σ(t),t0)

< 0.

This implies that r(t)g(x(t), x ∆(t))

ep r(t,t0)

is decreasing.

We claim thatx∆(t)>0 on [t0,) T.

If not, then there ist≥t1 such that r(t)g(x(t), x ∆(t))

ep r(t,t0)

≤ r(t1)g(x(t1), x

(t1))

ep r(t1,t0)

:=a <0. From (C6),

we getx∆(t)≤ a L3

ep r(t,t0 )

r(t) . Integrating fromt1 to t and using decreasing ofe−pr(.,t0), we have

x(t)−x(t1)≤ ae−p

r(t1,t0)

L3

Z t

t1

1 r(s)∆s.

Sox(t)≤ −∞. This implies thatx(t) is eventually negative which is a contradiction. Hence,x∆(t)>0 on [t

0,∞)T.

2. Main Results

In this section, we’ll obtain some new oscillation criteria of second-order dynamic equation (1.1) with damping by using the generalized Riccati transformation and the inequality technique.

Theorem 2.1. Assume that (C1)−(C8) hold. Furthermore, suppose that there exists a positive functionα∈Crd([t0,∞)T,R) such that for every sufficiently large T,

lim sup

t→∞

Z t

T q

1(s)L1 e−p

r(σ(s),t0)

−q2(v(s))L2v∆(s)

α(s)−(α

∆ +(−s))

2(r(τ1(s)))L3

4α(s)τ∆ 1 (s)

∆s=∞, (2.1)

whereα∆

+(s) =max{α∆(s),0}. Then every solution of(1.1) is oscillatory.

Proof. Assume thatxis a nonoscillatory solution of (1.1). Without loss of generality, we may assume xis an eventually positive solution of (1.1). That is, there existst1∈T for t≥t1 andx(t)>0. We

defined the functionz by

z(t) =

Z t

t1

g(x(s), x∆(s)) ep

r(s,t0)

∆s+

Z ∞

t

1 r(s)

Z s

v(s)

q2(u)f2(x(τ2(u)))∆u∆s

Z t

t1

g(x(s), x∆(s)) ep

r(s,t0)

∆s

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Thus, we get

z∆(t) =

Z t

t1

g(x(s), x∆(s)) e−p

r(s,t0) ∆s

+

Z ∞

t

1 r(s)

Z s

v(s)

q2(u)f2(x(τ2(u)))∆u∆s

= g(x(t), x ∆(t))

e−p r(t,t0)

− 1

r(t)

Z t

v(t)

q2(u)f2(x(τ2(u)))∆u

and

r(t)z∆(t) = r(t)g(x(t), x ∆(t))

e−p r(t,t0)

Z t

v(t)

q2(u)f2(x(τ2(u)))∆u

= r(t)g(x(t), x ∆(t))

ep r(t,t0)

Z t

v(t1)

q2(u)f2(x(τ2(u)))∆u+

Z v(t)

v(t1)

q2(u)f2(x(τ2(u)))∆u.

Making substitution s=v(u), we have

Z t

t1

q2(v(u))f2(x(τ1(u)))v∆(u)∆u =

Z v(t)

v(t1)

q2(s)f2(x(τ1(v−1(s)))) ˜∆s

=

Z v(t)

v(t1)

q2(s)f2(x(τ2(s))) ˜∆s for t∈[t1,∞)T. (2.2)

According to conditionv([t0,∞)T) = [v(t0),∞)T in (C4), we get that the derivative ∆ onTis equal

to the derivative ˜4on ˜T:=v([t0,∞)T) in (2.2). Hence, we conclude

Z t

t1

q2(v(u))f2(x(τ1(u)))v∆(u)∆u=

Z v(t)

v(t1)

q2(s)f2(x(τ2(s)))∆s for t∈[t1,∞)T.

Thus, fort∈[t1,∞)T, we get

r(t)z∆(t) = r(t)g(x(t), x ∆(t))

e−p r(t,t0)

Z t

v(t1)

q2(u)f2(x(τ2(u)))∆u+

Z t

t1

q2(v(u))f2(x(τ1(u)))v∆(u)∆u

(r(t)(z∆(t))∆ =

r(t)g(x(t), x∆(t)) e−p

r(t,t0)

−q2(t)f2(x(τ2(t))) +q2(v(t))f2(x(τ1(t)))v∆(t)

= (r(t)g(x(t), x

(t)))e

−p

r(t,t0)−(e−pr(t,t0))

r(t)g(x(t), x(t))

e−p r(t,t0)e−

p r(σ(t),t0)

−q2(t)f2(x(τ2(t)))

+q2(v(t))f2(x(τ1(t)))v∆(t)

= (r(t)g(x(t), x

(t)))+p(t)g(x(t), x(t))

e−p r(σ(t),t0)

−q2(t)f2(x(τ2(t)))

+q2(v(t))f2(x(τ1(t)))v∆(t)

= −q1(t)f1(x(τ1(t)))−q2(t)f2(x(τ2(t))) e−p

r(σ(t),t0)

−q2(t)f2(x(τ2(t)))

+q2(v(t))f2(x(τ1(t)))v∆(t)

≤ −q1(t)L1x(τ1(t))

e−p r(σ(t),t0)

+q2(v(t))L2x(τ1(t))v∆(t)

= −

q1(t)L1

ep r(σ(t),t0)

−q2(v(t))L2v∆(t)

x(τ1(t))

= −Q(t)x(τ1(t))<0,

whereQ(t) = q1(t)L1 e−p

r(σ(t),t0)

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Thus, there existst2∈[t1,∞)T such thatr(t)z∆(t) strictly decreasing on [t2,)

T and either even-tually positive or eveneven-tually negative. Sincer(t) >0 for t ∈[t0,∞)T, z∆(t) is also either eventually positive or eventually negative.

We claim

z∆(t)>0 for t∈[t2,∞)T. (2.3)

Assume that (2.3) does not hold, then there exists tξ ∈ [t2,∞)T such that z ∆(t

ξ) < 0. Since

r(t)z∆(t) is strictly decreasing on [t2,∞)T, it is clear that r(t)z∆(t) ≤ r(tξ)z∆(tξ) = −c < 0 for

t∈ [tξ,∞)T. Thus, we obtain z∆(t)≤ −c 1

r(t) for t ∈[tξ,∞)T. By integrating both sides of the last inequality fromtξ to t, we get

z(t)−z(tξ)≤ −c Z t

tξ 1

r(s)∆(s) for t∈[tξ,∞)T.

Noticing (C2), we have lim

t→∞z(t) =−∞. This contradictsz(t)≥0. Therefore, (2.3) holds. Thus, we

havez∆(t)>0 on [t2,) T.

Define the functionwby generalized Riccati substitution

w(t) :=α(t)r(t)z ∆(t)

x(τ1(t)) .

There existt3∈[t2,∞)T such thatw(t)>0 fort∈[t3,∞)T. Easily, we get

w∆ = (rz∆)∆ α x◦τ1

+ (rz∆)σ

α

x◦τ1

= (rz∆)∆ α x◦τ1

+ (rz∆)σ

α

(x◦τ1)σ

− (x◦τ1)

α

x◦τ1(x◦τ1)σ

≤ (rz∆)∆ α x◦τ1

+α∆+ (rz ∆)σ

(x◦τ1)σ

−α (rz ∆)σ

(x◦τ1)σ

(x◦τ1)∆ x◦τ1

= (rz∆)∆ α x◦τ1 +α

∆ +

ασ −α

ασ

(x◦τ1)∆ x◦τ1 ,

whereα∆

+(s) =max{α∆(s),0}. Thus, we have

w∆≤ −Qα+α∆+ wσ

ασ −α

ασ

(x◦τ1)∆ x◦τ1 . From the chain rule, we know that

(x◦τ1)∆= (x∆˜ ◦τ1)τ1∆.

According to condition τ1([t0,∞)T) = [τ1(t0),∞)T in (C4), we get that the derivative ∆ on T is

equal to the derivative ˜4on ˜T:=τ1([t0,∞)T). So, we have

w∆≤ −Qα+α∆+w

σ

ασ −α

ασ

(x∆τ 1)τ1∆ x◦τ1 . Also

z∆(t) = g(x(t), x∆(t))− 1

r(t)

Z t

v(t)

q2(u)f2(x(τ2(u)))∆u

≤ g(x(t), x∆(t)) ≤ L3x∆(t),

implies that

−x∆(t)≤ −z

(t)

L3 and so

w∆≤ −Qα+α∆+w

σ

ασ −α

wσ ασ

(z∆◦τ1) x◦τ1

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Since τ1(t)≤t≤σ(t) andr(t)z∆(t) is strictly decreasing on [t2,)

T, we get

(r◦τ1)(z∆◦τ1)≥(rz∆)σ

and

(z∆◦τ1)≥ (rz

)σ

(r◦τ1) .

Thus, we get

w∆ ≤ −Qα+α∆+w

σ

ασ −

α L3

ασ

(rz∆)σ

(r◦τ1) τ∆

1 x◦τ1

= −Qα+α∆+ wσ ασ −

α L3

wσ ασ

2

(x◦τ1)σ x◦τ1

τ1∆

r◦τ1. (2.4)

From (C4) we see thatτ1(t) is strictly increasing on [t0,∞)T. Sincet≤σ(t), we haveτ1(t)≤τ1σ(t). Since x∆(t) > 0, we get x τ1(t) x τσ

1(t). Hence, from (2.4) there exist a sufficiently large t4∈[t3,∞)Tsuch that

w∆ ≤ −Qα+α∆+ wσ

ασ −

α L3

wσ

ασ 2 τ

1 r◦τ1

= −Qα−

α∆ + 2

s

(r◦τ1)L3 ατ∆

1

−w

σ

ασ s

ατ∆ 1 (r◦τ1)L3

2

+(α ∆

+)2(r◦τ1)L3 4ατ∆

1

≤ −Qα+(α ∆

+)2(r◦τ1)L3 4ατ∆

1

. (2.5)

Integrating both sides of the last inequality from t4 tot, we get

w(t)−w(t4)≤ −

Z t

t4

(Q(s)α(s))−(α

+(s))2(r(τ1(s)))L3 4α(s)τ∆

1 (s)

∆s

Sincew(t)>0 fort∈[t3,∞)T we have

Z t

t4

(Q(s)α(s))−(α

+(s))2(r(τ1(s)))L3 4α(s)τ∆

1 (s)

∆s≤w(t4)−w(t)≤w(t4)

and

lim sup

t→∞

Z t

t4

(Q(s)α(s))−(α

+(s))2(r(τ1(s)))L3 4α(s)τ∆

1 (s)

∆s≤w(t4)<∞,

which is a contradiction to (2.1). The proof is completed.

Theorem 2.2. Assume that(C1)−(C8)hold. Let H be an rd-continuous function defined as follows:

H :DT≡ {(t, s) :t≥s≥t0, t, s∈[t0,∞)T} →R,

such that

H(t, t) = 0, for t≥t0,

H(t, s)>0, for t > s≥t0,

andH has a nonpositive rd-continuous delta partial derivativeH∆

s with respect to the second variable and

lim sup

t→∞

1 H(t, T)

Z t

T

H(t, s)

Q(s)α(s)−(α

+(−s))2(r(τ1(s)))L3 4α(s)τ∆

1 (s)

∆s=∞ (2.6)

for every sufficiently largeT, whereQ(t) = e q1(t)L1 −p

r(σ(t),t0 )

−q2(v(t))L2v∆(t)andα

+(s) =max{α∆(s),0},

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Proof. Assume thatxis a nonoscillatory solution of (1.1). Without loss of generality, we may assume xis an eventually positive solution of (1.1). Proceeding as in the proof of the Theorem2.1, we get

w∆(t)≤ −Q(t)α(t) +(α ∆

+)2(t)(r◦τ1(t))L3 4α(t)τ∆

1 (t) .

Multiplying by H(t, s) and then integrating fromt4to t, we obtain

Z t

t4

H(t, s)w∆(s)4s≤

Z t

t4

H(t, s)

−Q(s)α(s) +(α ∆ +)

2(s)(rτ1(s))L3

4α(s)τ∆ 1 (s)

∆s.

Since

Z t

t4

H(t, s)w∆(s)∆s=H(t, s)w(s)|ss==tt4 − Z t

t4

Hs∆(t, s)wσ(s)∆s,

we get

−H(t, t4)w(t4)≤

Z t

t4

H(t, s)

−Q(s)α(s) +(α ∆

+)2(s)(r◦τ1(s))L3 4α(s)τ∆

1 (s)

∆s.

Thus, we have

Z t

t4

H(t, s)

Q(s)α(s)−(α

∆ +)

2(s)(rτ1(s))L3

4α(s)τ∆ 1 (s)

∆s≤H(t, t4)w(t4)

and so

1 H(t, t4)

Z t

t4

H(t, s)

Q(s)α(s)−(α

+)2(s)(r◦τ1(s))L3 4α(s)τ∆

1 (s)

∆s≤w(t4)<∞,

which contradicts with (2.6). This completes the proof.

Theorem 2.3. Assume that(C1)−(C8)hold. LetH be an rd-continuous function defined as follows:

H :DT≡ {(t, s) :t≥s≥t0, t, s∈[t0,∞)T} →R,

such that

H(t, t) = 0, for t≥t0,

H(t, s)>0, for t > s≥t0,

andH has an rd-continuous∆−partial derivativeHs∆ onDT with respect to the second variable.

Let h:DT→Rbe an rd-continuous function satisfying

Hs∆(t, s) +H(t, s)α ∆ +(s) ασ(s) =

h(t, s) ασ(s)

p

H(t, s), (t, s)∈DT

and

lim sup

t→∞

1 H(t, T)

Z t

T

H(t, s)Q(s)α(s)−[h(t, s)]

2(rτ1)(s)L3

4α(s)τ∆ 1 (s)

∆s=∞ (2.7)

for every sufficiently largeT, whereQ(t) = q1(t)L1 ep

r(σ(t),t0 )

−q2(v(t))L2v∆(t)andα∆+(s) =max{α∆(s),0},

then all the solutions of(1.1)are oscillatory.

Proof. Assume thatxis a nonoscillatory solution of (1.1). Without loss of generality, we may assume xis an eventually positive solution of (1.1). Proceeding as in the proof of the Theorem2.1, we have (2.5). Multiplying (2.5) byH(t, s) and then integrating fromt4 tot, we obtain

Z t

t4

H(t, s)Q(s)α(s)∆s ≤ −

Z t

t4

H(t, s)w∆(s)∆s+

Z t

t4

H(t, s)α ∆ +(s) ασ(s)w

σ(s)∆s

Z t

t4

H(t, s) α(s)τ ∆ 1 (s)

(ασ(s))2(rτ1)(s)L3[w

σ(s)]2s.

Thus, using

Z t

t4

H(t, s)w∆(s)∆s = [H(t, s)w(s)]ss==tt

4− Z t

t4

(8)

we have

Z t

t4

H(t, s)Q(s)α(s)∆s≤H(t, t4)w(t4) +

Z t

t4

Hs∆(t, s) +H(t, s)α ∆ +(s) ασ(s)

wσ(s)

−H(t, s) α(s)τ ∆ 1 (s)

(ασ(s))2(rτ1)(s)L3[w

σ(s)]2

∆s

≤ H(t, t4)w(t4) +

Z t

t4

h(t, s) ασ(s)

p

H(t, s)wσ(s)

−H(t, s) α(s)τ ∆ 1 (s)

(ασ(s))2(rτ1)(s)L3[w

σ

(s)]2

∆s

= H(t, t4)w(t4) +

Z t

t4

[h(t, s)]2(r◦τ1)(s)L3 4α(s)τ∆

1 (s)

h(t, s)

2ασ(s) s

(ασ(s))2(rτ 1)(s)L3 α(s)τ∆

1 (s)

s

H(t, s) α(s)τ ∆ 1 (s) (ασ(s))2(rτ1)(s)L3w

σ(s) 2

∆s

≤ H(t, t4)w(t4) +

Z t

t4

[h(t, s)]2(rτ1)(s)L3 4α(s)τ∆

1 (s)

∆s.

So, we get

1 H(t, t4)

Z t

t4

H(t, s)Q(s)α(s)−[h(t, s)]

2(rτ 1)(s)L3 4α(s)τ∆

1 (s)

∆s≤w(t4)<∞,

which is a contradiction to (2.7). The proof is completed.

3. Examples

Example 3.1. Let T=R. Consider the equation

1

t

x0(t) 2 +sin2(x(t))

0

+t13 x

0(t)

2 +sin2(x(t))+ 1 t2x(t

1

5 −3)(x(t15 −3)2+ 4) + 10

t21

x(t2−3)

x2(t23) + 1 = 0,(3.1)

fort≥t0:= 4

Here r(t) = 1t, p(t) = t13, q1(t) = 1

t2, q2(t) =

10

t21, τ1(t) = t 1

5 −3, τ2(t) = t2 −3, g(x(t), x0(t)) = x0(t)

2+sin2(x(t)), f1(u) =u(u2+ 4) andf2(u) = u u2+1,

f1(u) u =u

2+ 44 :=L1 and f2(u) u =

1

u2+1 ≤1 :=

L2 for u6= 0,|f2(u)|≤ 12:=M,

g(x(t),x0(t))

x0(t) ≤12 :=L3.

Thus, we obtain Rt∞ 0

1

r(t)dt =

R∞

t0 tdt=∞, v(t) =t 1

10 < t for t∈ [4,∞) and1−µ(t)p(t) r(t) = 1 > 0 for t∈[4,∞).

Also, we get

q1(t)L1 e−p

r (σ(t),t0)

−q2(v(t))L2v0(t) =4e (t−4)43

t2 −

1 t3 =

4te(t−4)

4 3

−1

t3 >0 for t∈[4,∞)

and

Z ∞

t 1

r(s)

Z s

v(s)

q2(u)du

ds= Z ∞ t s Z s

s101

10 u21du

ds=

Z ∞

t

s171

2s19 ds <∞ for t∈[4,∞).

Hence, we have

Z ∞

T

q

1(s)L1 e−p

r(σ(s),t0)

−q2(v(s))L2v0(s)

α(s)−(α 0

+(s))

2(r(τ1(s)))L3

4α(s)τ∆ 1 (s)

ds

=

Z ∞

T

4se(s−4)43

−1

s3 s

3 3s2 1

s15−3 1 2

4s3 1 5s45

(9)

=

Z ∞

T

4se(s−4)

4 3

−1− 15 8(s25 −3s

1 5) ds = Z ∞ T

32(s7 5 −3s

6 5)e(s−4)

4 3 8(s2

5 −3s 1 5)−15

8(s25 −3s15)

ds=∞.

Therefore, according to Theorem 2.1, every solution of (3.1)is oscillatory on [4,∞).

Example 3.2. Let T= 2N0. Consider the equation

tx∆(t)

+ 1

t2x

(t) +t+ 1 2 x(

t 2)(x

2(t

2) + 2) + 1 2t2

x(2t)

2 +x2(2t) = 0, (3.2)

fort∈[t0,∞)T, t≥t0:= 2

Here,r(t) =t, p(t) = t12, q1(t) = t+1

2 , q2(t) = 1

2t2, τ1(t) = t

2 < t, τ2(t) = 2t, g(x(t), x ∆(t)) =

x∆(t), f

1(u) = u(u2+ 2) and f2(u) = u2u+2, f1(u)

u = u

2+ 2 2 := L

1 and

f2(u) u =

1

u2+2

1 2 :=

L2 for u6= 0, |f2(u)|≤ 1 2 :=M,

g(x(t),x∆(t))

x∆(t) = 1, L3= 1. Therefore, we obtain R∞

t0

1

r(t)∆t=

R∞

2 1

t∆t =∞, v(t) = t

4 < t, v

(t) = 1

4 for t∈ [2,∞)T and 1−µ(t)rp((tt)) = 1−tt13 = 1−

1

t2 >0 for t∈[2,∞)T.

Also, we get

q1(t)L1 e−p

r (σ(t),t0)

−q2(v(t))L2v∆(t)> q1(t)L1−q2(v(t))L2v∆(t) =

t3+t21

t2 >0 for t∈[2,∞)T

and Z ∞

t

1 r(s)

Z s

v(s)

q2(u)∆u

∆s=

Z ∞ t 1 s Z s s 4 1 2u2∆u

∆s=

Z ∞ t 1 s −1 u s s 4 ∆u

∆s=

Z ∞

t

3

s2∆s <∞.

Hence we have

Z ∞

T

q

1(s)L1 e−p

r(σ(s),t0)

−q2(v(s))L2v∆(s)

α(s)−(α

+(s))2(r(τ1(s)))L3 4α(s)τ∆

1 (s)

∆s

=

Z ∞

T

s3+s21

s2

s−

s

2 4s12

∆s

=

Z ∞

T

s3+s21

s −

1 4

∆s=∞.

Thus, according to Theorem 2.1, every solution of (3.2) is oscillatory on[2,∞)T.

References

[1] S. Hilger, Analysis on measure chains-A unified approach to continuous and discrete calculus, Results Math. 18 (1990) 18-56.

[2] M. Bohner, A. Peterson, Dynamic Equations on time scales, An Introduction with Applications, Birkh¨auser, Boston, 2001.

[3] M. Bohner and A. Peterson (Eds), Advances in Dynamic Equations on Time Scales, Birkh¨auser, Boston, 2003. [4] R.P. Agarwal, M. Bohner, D. O’Regan, A. Peterson, Dynamic equations on time scales: a survey, J. Comput. and

Appl. Math. 141 (1-2)(2002) 1-26.

[5] R.P. Agarwal, M. Bohner, S.H. Saker, Oscillation of second order delay dynamic equations, Can. Appl. Math. Q. 13 (2005) 1-18.

[6] H.A. Agwa, A.M.M. Khodier, H.A. Hassan, Oscillation of second-order nonlinear delay dynamic equations on time scales, Int. J. Differ. Equ. 2011 (2011) Article ID 863801.

[7] M. Bohner, Some oscillation criteria for first order delay dynamic equations, Far East J. Appl. Math. 18 (3)(2005) 289-304.

[8] M. Bohner, S. H. Saker, Oscillation of second order nonlinear dynamic equations on time scales, Rocky Mountain J. Math. 34 (4) (2004) 1239-1254.

[9] D.X. Chen, P.X. Qu, Y.H. Lan, Oscillation of second-order nonlinear dynamic equations with positive and negative coefficients, Adv. Differ. Equ. 2013 (2013) Art. ID 168.

[10] L. Erbe, A. Peterson, S.H. Saker, Oscillation criteria for second-order nonlinear dynamic equations on time scales, J. Lond. Math. Soc. 67 (3) (2003) 701-714.

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[12] L. Erbe, T. Hassan, A. Peterson, Oscillation of second order functional dynamic equations, Int. J. Differ. Equ. 5 (2) (2010) 175-193.

[13] T.S. Hassan, Oscillation criteria for half-linear dynamic equations on time scales, J. Math. Anal. Appl. 345 (1) (2008) 176-185.

[14] S.H. Saker, Oscillation criteria of second-order half-linear dynamic equations on time scales, J. Comput. Appl. Math. 177 (2) (2005) 375-387.

[15] S. Sun, Z. Han, C. Zhang, Oscillation of second-order delay dynamic equations on time scales, J. Appl. Math. Comput. 30 (1-2) (2009) 459-468.

[16] Y. S.ahiner, Oscillation of second-order delay differential equations on time scales, Nonlinear Anal., Theory, Methods Appl. 63 (5-7) (2005) 1073-1080.

[17] M.T. S.enel, Oscillation theorems for the second order damped nonlinear dynamic equation on time scales, Contemp. Anal. Appl. Math. 1 (2) (2013) 167-180.

[18] Q. Zhang, Oscillation of second-order half-linear delay dynamic equations with damping on time scales, J. Comput. Appl. Math. 235 (5) (2011) 1180-1188.

[19] Q. Zhang, L. Gao, Oscillation of second-order nonlinear delay dynamic equations with damping on time scales, J. Appl. Math. Comput. 37 (1-2) (2011) 145-158.

[20] Q. Zhang, L. Gao, L. Wang, Oscillation of second-order nonlinear delay dynamic equations on time scales, Comput. Math. Appl. 61 (8) (2011) 2342-2348.

Department of Mathematics, Ege University,35100 Bornova, Izmir-Turkey

References

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