International Journal of Analysis and Applications 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 EMİNE TUǦLA 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∑ i=0 pi(t)Φαi(x(gi(t))) = 0, on an arbitrary time scale T. 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 scale T such that inf T = t0 and sup T = ∞. 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 that g : T → R is strictly increasing and that T̃ := g(T) = {g(t) : t ∈ T} is a time scale. If f : T → R is an rd-continuous functions, g is differentiable with rd-continuous derivative, Received 10th January, 2017; accepted 17th March, 2017; published 2nd May, 2017. 2010 Mathematics 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. 42 OSCILLATION FOR NONLINEAR FUNCTIONAL DYNAMIC EQUATIONS 43 and a,b ∈ T, then ∫ b a f(t)g4(t)4t = ∫ g(b) g(a) (f ◦g−1)(s)4̃s, where g−1 is the inverse function of g and 4̃ denotes the derivative on T̃. Lemma 1.2. Every rd-continuous function has an antiderivative. In particular if t0 ∈ T, then F defined by F(t) := ∫ t t0 f(τ)4τ for t ∈ T is an antiderivative of f. Lemma 1.3. Assume that f : T → R is strictly increasing and that T̃ := f(T) = {f(t) : t ∈ T} is a time scale. Let g : T̃ → R. If f4(t) and g4̃(f(t)) exist for t ∈ Tκ, then (g ◦f)4 = (g4̃ ◦f)f4, where 4̃ denotes the derivative on T̃. Definition 1.1. A function p : T → R is said to be regressive provided 1 + µ(t)p(t) 6= 0 for all t ∈ Tκ, where µ(t) = σ(t) − t. The set of all regressive rd-continuous functions p : T → R is denoted by R. Let p ∈R for all t ∈ T. The exponential function on T is defined by ep(t,s) = exp (∫ t s ζµ(r)(p(r))∆r ) where ζµ(s) is the cylinder transformation given by ζµ(r)(p(r)) := { 1 µ(r) Log(1 + µ(r)p(r)), if µ(r) > 0; p(r), if µ(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. Let p,q ∈R. Then i. e0(t,s) ≡ 1 and ep(t,t) ≡ 1; ii. ep(σ(t),s) = (1 + µ(t)p(t))ep(t,s); iii. 1 ep(t,s) = e (t,s) where, p(t) = − p(t) 1+µ(t)p(t) ; iv. ep(t,s) = 1 ep(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. ( 1 ep(.,s) )∆ = − p(t) eσp (.,s) . Throughout this paper we assume that the followings: (C1) t0 ∈ T and [t0,∞)T = {t ∈ T : t ≥ t0}, (C2) r ∈ Crd([t0,∞)T, (0,∞)) and ∫∞ t0 1 r(t) ∆t = ∞, (C3) p,q1,q2 ∈ Crd([t0,∞)T, [0,∞)) (C4) τ1,τ2 ∈ Crd(T,T), lim t→∞ τ1(t) = lim t→∞ τ2(t) = ∞, τ2 has inverse function τ−12 ∈ Crd(T,T), v := τ−12 ◦τ1 ∈ Crd(T,T), τ ∆ 1 ,v ∆ ∈ Crd([t0,∞)T, (0,∞)), τ1(t),v(t) ≤ t for t ∈ [t0,∞)T, τ1([t0,∞)T) = [τ1(t0),∞)T, v([t0,∞)T) = [v(t0),∞)T, where τ1([t0,∞)T) = {τ1(t) : t ∈ [t0,∞)T} and v([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 u 6= 0 and q1(t) e−p 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) v ≤ L3 and vg(u,v) > 44 TUǦLA AND TOPAL 0 for v 6= 0, (C7) ∫ ∞ t [ 1 r(s) ∫ s v(s) q2(u)∆u ] ∆s < ∞ for every sufficiently large t ∈ T, (C8) − p(t) r(t) is positively regressive, which means 1 −µ(t)p(t) r(t) > 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)) e−p r (t,t0) )∆ < 0 and x∆(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−p r (t,t0) − (e−pr (t,t0)) ∆r(t)g(x(t),x∆(t)) e−p r (t,t0)e−pr (σ(t),t0) = (r(t)g(x(t),x∆(t)))∆ + p(t)g(x(t),x∆(t)) e−p r (σ(t),t0) = −q1(t)f1(x(τ1(t))) −q2(t)f2(x(τ2(t))) e−p r (σ(t),t0) < 0. This implies that r(t)g(x(t),x∆(t)) e−p r (t,t0) is decreasing. We claim that x∆(t) > 0 on [t0,∞)T. If not, then there is t ≥ t1 such that r(t)g(x(t),x∆(t)) e−p r (t,t0) ≤ r(t1)g(x(t1),x ∆(t1)) e−p r (t1,t0) := a < 0. From (C6), we get x∆(t) ≤ a L3 e−p r (t,t0) r(t) . Integrating from t1 to t and using decreasing of e−p r (.,t0), we have x(t) −x(t1) ≤ ae−p r (t1,t0) L3 ∫ t t1 1 r(s) ∆s. So x(t) ≤−∞. This implies that x(t) is eventually negative which is a contradiction. Hence, x∆(t) > 0 on [t0,∞)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 function α ∈ Crd([t0,∞)T,R) such that for every sufficiently large T, lim sup t→∞ ∫ t T ([ q1(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) where α∆+ (s) = max{α∆(s), 0}. Then every solution of (1.1) is oscillatory. Proof. Assume that x is a nonoscillatory solution of (1.1). Without loss of generality, we may assume x is an eventually positive solution of (1.1). That is, there exists t1 ∈ T for t ≥ t1 and x(t) > 0. We defined the function z by z(t) = ∫ t t1 g(x(s),x∆(s)) e−p r (s,t0) ∆s + ∫ ∞ t 1 r(s) ∫ s v(s) q2(u)f2(x(τ2(u)))∆u∆s ≥ ∫ t t1 g(x(s),x∆(s)) e−p r (s,t0) ∆s ≥ 0. OSCILLATION FOR NONLINEAR FUNCTIONAL DYNAMIC EQUATIONS 45 Thus, we get z∆(t) = (∫ t t1 g(x(s),x∆(s)) e−p r (s,t0) ∆s )∆ + (∫ ∞ t 1 r(s) ∫ s v(s) q2(u)f2(x(τ2(u)))∆u∆s )∆ = g(x(t),x∆(t)) e−p r (t,t0) − 1 r(t) ∫ 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) − ∫ t v(t) q2(u)f2(x(τ2(u)))∆u = r(t)g(x(t),x∆(t)) e−p r (t,t0) − ∫ t v(t1) q2(u)f2(x(τ2(u)))∆u + ∫ v(t) v(t1) q2(u)f2(x(τ2(u)))∆u. Making substitution s = v(u), we have∫ t t1 q2(v(u))f2(x(τ1(u)))v ∆(u)∆u = ∫ v(t) v(t1) q2(s)f2(x(τ1(v −1(s))))∆̃s = ∫ v(t) v(t1) q2(s)f2(x(τ2(s)))∆̃s for t ∈ [t1,∞)T. (2.2) According to condition v([t0,∞)T) = [v(t0),∞)T in (C4), we get that the derivative ∆ on T is equal to the derivative 4̃ on T̃ := v([t0,∞)T) in (2.2). Hence, we conclude∫ t t1 q2(v(u))f2(x(τ1(u)))v ∆(u)∆u = ∫ v(t) v(t1) q2(s)f2(x(τ2(s)))∆s for t ∈ [t1,∞)T. Thus, for t ∈ [t1,∞)T, we get r(t)z∆(t) = r(t)g(x(t),x∆(t)) e−p r (t,t0) − ∫ t v(t1) q2(u)f2(x(τ2(u)))∆u + ∫ 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−pr (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 e−p r (σ(t),t0) −q2(v(t))L2v∆(t) ] x(τ1(t)) = −Q(t)x(τ1(t)) < 0, where Q(t) = q1(t)L1 e−p r (σ(t),t0) −q2(v(t))L2v∆(t). 46 TUǦLA AND TOPAL Thus, there exists t2 ∈ [t1,∞)T such that r(t)z∆(t) strictly decreasing on [t2,∞)T and either even- tually positive or eventually negative. Since r(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∆(tξ) < 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 1r(t) for t ∈ [tξ,∞)T. By integrating both sides of the last inequality from tξ to t, we get z(t) −z(tξ) ≤−c ∫ t tξ 1 r(s) ∆(s) for t ∈ [tξ,∞)T. Noticing (C2), we have lim t→∞ z(t) = −∞. This contradicts z(t) ≥ 0. Therefore, (2.3) holds. Thus, we have z∆(t) > 0 on [t2,∞)T. Define the function w by generalized Riccati substitution w(t) := α(t) r(t)z∆(t) x(τ1(t)) . There exist t3 ∈ [t2,∞)T such that w(t) > 0 for t ∈ [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∆+ wσ ασ −α wσ ασ (x◦ τ1)∆ x◦ τ1 , where α∆+ (s) = max{α∆(s), 0}. Thus, we have w∆ ≤−Qα + α∆+ wσ ασ −α wσ ασ (x◦ τ1)∆ x◦ τ1 . From the chain rule, we know that (x◦ τ1)∆ = (x∆̃ ◦ τ1)τ∆1 . According to condition τ1([t0,∞)T) = [τ1(t0),∞)T in (C4), we get that the derivative ∆ on T is equal to the derivative 4̃ on T̃ := τ1([t0,∞)T). So, we have w∆ ≤−Qα + α∆+ wσ ασ −α wσ ασ (x∆ ◦ τ1)τ∆1 x◦ τ1 . Also z∆(t) = g(x(t),x∆(t)) − 1 r(t) ∫ 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∆+ wσ ασ −α wσ ασ (z∆ ◦ τ1) x◦ τ1 τ∆1 L3 . OSCILLATION FOR NONLINEAR FUNCTIONAL DYNAMIC EQUATIONS 47 Since τ1(t) ≤ t ≤ σ(t) and r(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∆+ wσ ασ − α L3 wσ ασ (rz∆)σ (r ◦ τ1) τ∆1 x◦ τ1 = −Qα + α∆+ wσ ασ − α L3 ( wσ ασ )2 (x◦ τ1)σ x◦ τ1 τ∆1 r ◦ τ1 . (2.4) From (C4) we see that τ1(t) is strictly increasing on [t0,∞)T. Since t ≤ σ(t), we have τ1(t) ≤ τσ1 (t). Since x∆(t) > 0, we get x ◦ τ1(t) ≤ x ◦ τσ1 (t). Hence, from (2.4) there exist a sufficiently large t4 ∈ [t3,∞)T such that w∆ ≤ −Qα + α∆+ wσ ασ − α L3 ( wσ ασ )2 τ∆1 r ◦ τ1 = −Qα− [ α∆+ 2 √ (r ◦ τ1)L3 ατ∆1 − wσ ασ √ 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 to t, we get w(t) −w(t4) ≤− ∫ t t4 [ (Q(s)α(s)) − (α∆+ (s)) 2(r(τ1(s)))L3 4α(s)τ∆1 (s) ] ∆s Since w(t) > 0 for t ∈ [t3,∞)T we have∫ 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→∞ ∫ 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, and H has a nonpositive rd-continuous delta partial derivative H∆s with respect to the second variable and lim sup t→∞ 1 H(t,T) ∫ 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 large T , where Q(t) = q1(t)L1 e−p r (σ(t),t0) −q2(v(t))L2v∆(t) and α∆+ (s) = max{α∆(s), 0}, then all solutions of (1.1) are oscillatory. 48 TUǦLA AND TOPAL Proof. Assume that x is a nonoscillatory solution of (1.1). Without loss of generality, we may assume x is an eventually positive solution of (1.1). Proceeding as in the proof of the Theorem 2.1, 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 from t4 to t, we obtain∫ t t4 H(t,s)w∆(s)4s ≤ ∫ t t4 H(t,s) ( −Q(s)α(s) + (α∆+ ) 2(s)(r ◦ τ1(s))L3 4α(s)τ∆1 (s) ) ∆s. Since ∫ t t4 H(t,s)w∆(s)∆s = H(t,s)w(s) |s=ts=t4 − ∫ t t4 H∆s (t,s)w σ(s)∆s, we get −H(t,t4)w(t4) ≤ ∫ 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∫ t t4 H(t,s) ( Q(s)α(s) − (α∆+ ) 2(s)(r ◦ τ1(s))L3 4α(s)τ∆1 (s) ) ∆s ≤ H(t,t4)w(t4) and so 1 H(t,t4) ∫ 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. 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, and H has an rd-continuous ∆−partial derivative H∆s on DT with respect to the second variable. Let h : DT → R be an rd-continuous function satisfying H∆s (t,s) + H(t,s) α∆+ (s) ασ(s) = h(t,s) ασ(s) √ H(t,s), (t,s) ∈ DT and lim sup t→∞ 1 H(t,T) ∫ t T ( H(t,s)Q(s)α(s) − [h(t,s)]2(r ◦ τ1)(s)L3 4α(s)τ∆1 (s) ) ∆s = ∞ (2.7) for every sufficiently large T , where Q(t) = q1(t)L1 e−p r (σ(t),t0) −q2(v(t))L2v∆(t) and α∆+ (s) = max{α∆(s), 0}, then all the solutions of (1.1) are oscillatory. Proof. Assume that x is a nonoscillatory solution of (1.1). Without loss of generality, we may assume x is an eventually positive solution of (1.1). Proceeding as in the proof of the Theorem 2.1, we have (2.5). Multiplying (2.5) by H(t,s) and then integrating from t4 to t, we obtain∫ t t4 H(t,s)Q(s)α(s)∆s ≤ − ∫ t t4 H(t,s)w∆(s)∆s + ∫ t t4 H(t,s) α∆+ (s) ασ(s) wσ(s)∆s − ∫ t t4 H(t,s) α(s)τ∆1 (s) (ασ(s))2(r ◦ τ1)(s)L3 [wσ(s)]2∆s. Thus, using ∫ t t4 H(t,s)w∆(s)∆s = [H(t,s)w(s)]s=ts=t4 − ∫ t t4 H∆s (t,s)w σ(s)∆s, OSCILLATION FOR NONLINEAR FUNCTIONAL DYNAMIC EQUATIONS 49 we have ∫ t t4 H(t,s)Q(s)α(s)∆s ≤ H(t,t4)w(t4) + ∫ t t4 ([ H∆s (t,s) + H(t,s) α∆+ (s) ασ(s) ] wσ(s) −H(t,s) α(s)τ∆1 (s) (ασ(s))2(r ◦ τ1)(s)L3 [wσ(s)]2 ) ∆s ≤ H(t,t4)w(t4) + ∫ t t4 ( h(t,s) ασ(s) √ H(t,s)wσ(s) −H(t,s) α(s)τ∆1 (s) (ασ(s))2(r ◦ τ1)(s)L3 [wσ(s)]2 ) ∆s = H(t,t4)w(t4) + ∫ t t4 ( [h(t,s)]2(r ◦ τ1)(s)L3 4α(s)τ∆1 (s) − [ h(t,s) 2ασ(s) √ (ασ(s))2(r ◦ τ1)(s)L3 α(s)τ∆1 (s) − √ H(t,s) α(s)τ∆1 (s) (ασ(s))2(r ◦ τ1)(s)L3 wσ(s) ]2 ∆s ≤ H(t,t4)w(t4) + ∫ t t4 [h(t,s)]2(r ◦ τ1)(s)L3 4α(s)τ∆1 (s) ∆s. So, we get 1 H(t,t4) ∫ t t4 ( H(t,s)Q(s)α(s) − [h(t,s)]2(r ◦ τ1)(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 x′(t) 2 + sin2(x(t)) )′ + t 1 3 x′(t) 2 + sin2(x(t)) + 1 t2 x(t 1 5 − 3)(x(t 1 5 − 3)2 + 4) + 10 t21 x(t2 − 3) x2(t2 − 3) + 1 = 0, (3.1) for t ≥ t0 := 4 Here r(t) = 1 t ,p(t) = t 1 3 ,q1(t) = 1 t2 ,q2(t) = 10 t21 ,τ1(t) = t 1 5 − 3,τ2(t) = t2 − 3, g(x(t),x′(t)) = x′(t) 2+sin2(x(t)) , f1(u) = u(u 2 + 4) and f2(u) = u u2+1 , f1(u) u = u2 + 4 ≥ 4 := L1 and f2(u) u = 1 u2+1 ≤ 1 := L2 for u 6= 0, | f2(u) |≤ 12 := M, g(x(t),x′(t)) x′(t) ≤ 1 2 := L3. Thus, we obtain ∫∞ t0 1 r(t) dt = ∫∞ t0 tdt = ∞,v(t) = t 1 10 < t for t ∈ [4,∞) and 1 − 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))L2v′(t) = 4e(t−4) 4 3 t2 − 1 t3 = 4te(t−4) 4 3 − 1 t3 > 0 for t ∈ [4,∞) and∫ ∞ t [ 1 r(s) ∫ s v(s) q2(u)du ] ds = ∫ ∞ t [ s ∫ s s 1 10 10 u21 du ] ds = ∫ ∞ t s17 − 1 2s19 ds < ∞ for t ∈ [4,∞). Hence, we have∫ ∞ T ([ q1(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) ) ds = ∫ ∞ T ( 4se(s−4) 4 3 − 1 s3 s3 − 3s2 1 s 1 5 −3 1 2 4s3 1 5s 4 5 ) ds 50 TUǦLA AND TOPAL = ∫ ∞ T ( 4se(s−4) 4 3 − 1 − 15 8(s 2 5 − 3s 1 5 ) ) ds = ∫ ∞ T ( 32(s 7 5 − 3s 6 5 )e(s−4) 4 3 − 8(s 2 5 − 3s 1 5 ) − 15 8(s 2 5 − 3s 1 5 ) ) 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 t2 x∆(t) + t + 1 2 x( t 2 )(x2( t 2 ) + 2) + 1 2t2 x(2t) 2 + x2(2t) = 0, (3.2) for t ∈ [t0,∞)T, t ≥ t0 := 2 Here, r(t) = t, p(t) = 1 t2 , q1(t) = t+1 2 , q2(t) = 1 2t2 , τ1(t) = t 2 < t, τ2(t) = 2t, g(x(t),x ∆(t)) = x∆(t), f1(u) = u(u 2 + 2) and f2(u) = u u2+2 , f1(u) u = u2 + 2 ≥ 2 := L1 and f2(u) u = 1 u2+2 ≤ 1 2 := L2 for u 6= 0, | f2(u) |≤ 12 := M, g(x(t),x∆(t)) x∆(t) = 1, L3 = 1. Therefore, we obtain ∫∞ t0 1 r(t) ∆t = ∫∞ 2 1 t ∆t = ∞, v(t) = t 4 < t,v∆(t) = 1 4 for t ∈ [2,∞)T and 1 −µ(t)p(t) r(t) = 1 − t 1 t3 = 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 + t2 − 1 t2 > 0 for t ∈ [2,∞)T and∫ ∞ t [ 1 r(s) ∫ s v(s) q2(u)∆u ] ∆s = ∫ ∞ t [ 1 s ∫ s s 4 1 2u2 ∆u ] ∆s = ∫ ∞ t [ 1 s ( −1 u )∣∣∣∣s s 4 ∆u ] ∆s = ∫ ∞ t 3 s2 ∆s < ∞. Hence we have∫ ∞ T ([ q1(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 = ∫ ∞ T ([ s3 + s2 − 1 s2 ] s− s 2 4s1 2 ) ∆s = ∫ ∞ T ( s3 + s2 − 1 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, Birkhäuser, Boston, 2001. [3] M. Bohner and A. 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