Some nonlinear delay integral inequalities on time scales arising in the theory of dynamics equations

Abstract

In this paper, some new nonlinear delay integral inequalities on time scales are established, which provide a handy tool in the research of boundedness of unknown functions in delay dynamic equations on time scales. The established results generalize some of the results in Lipovan [J. Math. Anal. Appl. 322, 349-358 (2006)], Pachpatte [J. Math. Anal. Appl. 251, 736-751 (2000)], Li [Comput. Math. Appl. 59, 1929-1936 (2010)], and Sun [J. Math. Anal. Appl. 301, 265-275 (2005)].

MSC 2010: 26E70; 26D15; 26D10.

1 Introduction

In the 1980s, Hilger initiated the concept of time scales [1], which is used as a theory capable to contain both difference and differential calculus in a consistent way. Since then, many authors have expounded on various aspects of the theory of dynamic equations on time scales. For example [2–10], and the references therein. In these investigations, integral inequalities on time scales have been paid much attention by many authors, and a lot of integral inequalities on time scales have been established (see [5–10] and the references therein), which are designed to unify continuous and discrete analysis, and play an important role in the research of boundedness, uniqueness, stability of solutions of dynamic equations on time scales. But to our knowledge, delay integral inequalities on time scales have been paid little attention so far in the literature. Recent results in this direction include the works of Li [11] and Ma [12].

Our aim in this paper is to establish some new nonlinear delay integral inequalities on time scales, which are generalizations of some known continuous inequalities and discrete inequalities in the literature. Also, we will present some applications for the established results, in which we will use the present inequalities to derive new bounds for unknown functions in certain delay dynamic equations on time scales.

At first, we will give some preliminaries on time scales and some universal symbols for further use. Throughout this paper, R denotes the set of real numbers and R₊ = [0, ∞), while Z denotes the set of integers. For two given sets G, H, we denote the set of maps from G to H by (G, H).

A time scale is an arbitrary nonempty closed subset of the real numbers. In this paper, T denotes an arbitrary time scale. On T, we define the forward and backward jump operators σ ∈ (T, T), and ρ ∈ (T, T) such that σ(t) = inf{s ∈ T, s > t}, ρ(t) = sup{s ∈ T, s < t}.

Definition 1.1: A point t ∈ T is said to be left-dense if ρ(t) = t and t ≠ inf T, right-dense if σ(t) = t and t ≠ sup T, left-scattered if ρ(t) < t and right-scattered if σ(t) > t.

Definition 1.2: The set T ^κ is defined to be T if T does not have a left-scattered maximum, otherwise it is T without the left-scattered maximum.

Definition 1.3: A function f ∈ (T, R) is called rd-continuous if it is continuous at right-dense points and if the left-sided limits exist at left-dense points, while f is called regressive if 1 + μ(t)f(t) ≠ 0, where μ(t) = σ(t) - t. C _rd denotes the set of rd-continuous functions, while denotes the set of all regressive and rd-continuous functions, and .

Definition 1.4: For some t ∈ T ^κ, and a function f ∈ (T, R), the delta derivative of f at t is denoted by f^Δ(t) (provided it exists) with the property such that for every ε > 0, there exists a neighborhood of t satisfying

Remark 1.1: If T = R, then f^Δ(t) becomes the usual derivative f'(t), while f^Δ(t) = f(t + 1) - f(t) if T = Z, which represents the forward difference.

Definition 1.5: If F^Δ(t) = f(t), t ∈ T ^κ, then F is called an antiderivative of f, and the Cauchy integral of f is defined by

The following two theorem include some important properties for delta derivative on time scales.

Theorem 1.1 [[13], Theorem 2.2]: If a, b, c ∈ T, α ∈ R, and f, g ∈ C _rd , then

• (i)
  

  ,

• (ii)
  

  ,

• (iii)
  

  ,

• (iv)
  

  ,

• (v)
  

  ,

• (vi) if f(t) ≥ 0 for all a ≤ t ≤ b, then .

For more details about the calculus of time scales, we advise to refer to [14].

2 Main results

In the rest of this paper, for the sake of convenience, we denote T₀ = [t₀, ∞) ∩T, and always assume T₀ ⊂ T ^κ.

Lemma 2.1 [15]: Assume that a ≥ 0, p ≥ q ≥ 0, and p ≠ 0, then for any K > 0

Lemma 2.2: Suppose u, a ∈ C _rd , , m ≥ 0, and a is nondecreasing. Then,

implies

where e _m (t, t₀) is the unique solution of the following equation

Proof: From [[16], Theorem 5.6], we have , t ∈ T₀. Since a(t) is nondecreasing on T₀, then . On the other hand, from [[14], Theorem 2.39 and 2.36 (i)], we have . Combining the above information, we can obtain the desired inequality.

Theorem 2.1: Suppose u, a, b, f ∈ C _rd (T₀, R₊), and a, b are nondecreasing. ω ∈ C(R₊, R₊) is nondecreasing. τ ∈ (T₀, T), τ (t) ≤ t, -∞ < α = inf{τ(t), t ∈ T₀} ≤ t₀, ϕ ∈ C _rd ([α, t₀] ∩T, R₊). p > 0 is a constant. If u(t) satisfies, the following integral inequality

(1)

with the initial condition

(2)

then

(3)

where G is an increasing bijective function, and

(4)

Proof: Let T ∈ T₀ be fixed, and

(5)

Then considering a, b are nondecreasing, we have

(6)

Furthermore, for t ∈ [t₀, T ] ∩T, if τ(t) ≥ t₀, considering τ (t) ≤ t, then τ _i (t) ∈ [t₀, T ] ∩T, and from (6) we obtain

(7)

If τ(t) ≤ t₀, from (2) we obtain

(8)

So from (7) and (8), we always have

(9)

Moreover,

that is,

(10)

On the other hand, for t ∈ [t₀, T ] ∩T, if σ(t) > t, then

If σ(t) = t, then

where ξ lies between v(s) and v(t). So we always have .

Using the statements above, we deduce that

Replacing t with s in the inequality above, and an integration with respect to s from t₀ to t yields

(11)

where G is defined in (4).

Considering G is increasing, and v(t₀) = a(T ), it follows that

(12)

Combining (6) and (12), we get

Taking t = T in (12), yields

(13)

Since T ∈ T₀ is selected arbitrarily, then substituting T with t in (13) yields the desired inequality (3).

Remark 2.1: Since T is an arbitrary time scale, then if we take T for some peculiar cases in Theorem 2.1, then we can obtain some corollaries immediately. Especially, if T = R, t₀ = 0, then Theorem 2.1 reduces to [[17], Theorem 2.2], which is the continuous result. However, if we take T = Z, we obtain the discrete result, which is given in the following corollary.

Corollary 2.1: Suppose T = Z, n₀ ∈ Z, and Z₀ = [n₀, ∞) ∩ Z. u, a, b, f ∈ (Z₀, R₊), and a, b are decreasing on Z₀. τ ∈ (Z₀, Z), τ (n) ≤ n, -∞ < α = inf{τ(n), n ∈ Z₀} ≤ n₀, ϕ ∈ C _rd ([α, n₀] ∩ Z, R₊). ω is defined the same as in Theorem 2.1. If for n ∈ Z₀, u(n) satisfies

with the initial condition

then

In Theorem 2.1, if we change the conditions for a, b, ω p; then, we can obtain another bound for the function u(t).

Theorem 2.2: Suppose u, a, b, f ∈ C _rd (T₀, R₊), ω ∈ C(R₊, R₊) is nondecreasing, subadditive, and submultiplicative, that is, for ∀α ≥ 0, β ≥ 0 we always have ω(α + β) ≤ ω(α) + ω (β) and ω(αβ) ≤ ω(α)ω(β). τ, α, ϕ are the same as in Theorem 2.1. If u(t) satisfies the inequality (1) with the initial condition (2), then for ∀K > 0, we have

(14)

where is an increasing bijective function, and

(15)

Proof: Let

(16)

Then,

(17)

Similar to the process of (7)-(9), we have

(18)

Considering ω is nondecreasing, subadditive, and submultiplicative, Combining (16), (18), and Lemma 2.1, we obtain

(19)

where A(t) is defined in (15).

Let T be fixed in T₀, and t ∈ [t₀, T] ⋂ T. Denote

(20)

Considering A(t) is nondecreasing, then we have

(21)

Furthermore,

Similar to Theorem 2.1, we have

(22)

Substituting t with s in (22), and an integration with respect to s from t₀ to t yields

which is followed by

(23)

Combining (17), (21), and (23), we obtain

(24)

Taking t = T in (24), yields

(25)

Since T is selected from T₀ arbitrarily, then substituting T with t in (25), we can obtain the desired inequality (14).

Remark 2.2: Theorem 2.2 unifies some known results in the literature. If we take T = R, t₀ = 0, τ(t) = t, K = 1, then Theorem 2.2 reduces to [[18], Theorem 2(b3)], which is one case of continuous inequality. If we take T = Z, t₀ = 0, τ(t) = t, K = 1, then Theorem 2.2 reduces to [[18], Theorem 4(d3)], which is the discrete analysis of [[18], Theorem 2(b3)].

Now we present a more general result than Theorem 2.1. We study the following delay integral inequality on time scales.

(26)

where u, a, b, f, g, h ∈ Crd(T₀, R₊), ω ∈ C(R₊, R₊), and a, b, ω are nondecreasing, η ∈ C(R₊, R₊) is increasing, τ _i ∈ (T₀, T) with τ _i (t) ≤ t, i = 1, 2, and -∞ < α = inf{min{τ _i (t), i = 1, 2}, t ∈ T₀} ≤ t₀.

Theorem 2.3: Define a bijective function such that , with . If is increasing, and for t ∈ T₀, u(t) satisfies the inequality (26) with the initial condition

(27)

where ϕ ∈ C _rd ([α, t₀] ⋂ T, R₊), then

(28)

Proof: Let the right side of (26) be v(t), then

(29)

For t ∈ T₀, if τ _i (t) ≥ t₀, considering τ _i (t) ≤ t, then τ _i (t) ∈ T₀, and from (29), we have

(30)

If τ _i (t) ≤ t₀, from (27), we obtain

(31)

So from (30) and (31), we always have

(32)

Furthermore, considering η is increasing, we get that

(33)

Fix a T ∈ T₀, and let t ∈ [t₀, T] ⋂ T. Define

(34)

Since a, b are nondecreasing on T₀, it follows that

(35)

On the other hand,

Similar to Theorem 2.1, we have

(36)

Replacing t with s, and an integration for (36) with respect to s from t₀ to t yields

(37)

Since c(t₀) = a(T), and G is increasing, it follows that

(38)

Combining (29), (35), (38), we have

(39)

Taking t = T in (39), yields

(40)

Since T ∈ T₀ is selected arbitrarily, then substituting T with t in (40) yields the desired inequality (28).

Remark 2.3: If we take η(u) = u^p, g(t) ≡ 0, then Theorem 2.3 reduces to Theorem 2.1.

Next, we consider the delay integral inequality of the following form.

(41)

where u, f, g, h, a, τ _i , i = 1, 2 are the same as in Theorem 2.3, m ∈ C(R₊, R₊), p > 0 is a constant, ω ∈ C(R₊, R₊) is nondecreasing, and ω is submultitative, that is, ω(αβ) ≤ ω(α)ω(β) holds for ∀α ≥ 0, β ≥ 0.

Theorem 2.4: Suppose G ∈ (R₊, R) is an increasing bijective function defined as in Theorem 2.1. If u(t) satisfies, the inequality (41) with the initial condition

(42)

then

(43)

Proof: Let the right side of (41) be v(t). Then,

(44)

and similar to the process of (30)-(32) we have

(45)

Furthermore,

(46)

A suitable application of Lemma 2.2 to (46) yields

(47)

Fix a T ∈ T₀, and let t ∈ [t₀, T] ⋂ T. Define

(48)

Then,

(49)

and

Similar to Theorem 2.1, we have

(50)

An integration for (50) from t₀ to t yields

Considering G is increasing and , it follows

(51)

Combining (44), (49), and (51), we have

(52)

Taking t = T in (52), yields

(53)

Since T ∈ T₀ is selected arbitrarily, after substituting T with t in (53), we obtain the desired inequality (43).

Remark 2.4: If we take ω(u) = u, τ₁(t) = t, h(t) ≡ 0, then Theorem 2.4 reduces to [[11], Theorem 3]. If we take m(t) = f(t) = h(t) ≡ 0, then Theorem 2.4 reduces to Theorem 2.1 with slight difference.

Finally, we consider the following integral inequality on time scales.

(54)

where u, f, g, ω, τ₁, τ₂ are the same as in Theorem 2.3, p, q, C are constants, and p > q > 0, C > 0.

Theorem 2.5: If u(t) satisfies (54) with the initial condition (42), then

(55)

where , H are two increasing bijective functions, and

(56)

Proof: Let the right side of (54) be v(t). Then,

(57)

and similar to the process of (30)-(32) we have

(58)

Furthermore,

Similar to Theorem 2.1, we have

(59)

An integration for (59) from t₀ to t yields

(60)

Considering is increasing, and v(t₀) = C, then (60) implies

(61)

Given a fixed number T in T₀, and t ∈ [t₀, T]. Let

(62)

Then,

(63)

and furthermore,

that is,

(64)

Integrating (64) from t₀ to t yields

(65)

Since H is increasing, and , then (65) implies

(66)

Combining (57), (63), and (66), we obtain

(67)

Taking t = T in (67), and since T is an arbitrary number in T₀, then the desired inequality can be obtained after substituting T with t.

Remark 2.5: If we take T = R, τ₁(t) = τ₂(t), then we can obtain a new bound of for the unknown continuous function u(t), which is different from the result using the method in [[19], Theorem 2.1].

Remark 2.6: If we take T = R in Theorem 2.3-2.4, or take T = Z in Theorem 2.3-2.5, then immediately we obtain a number of corollaries on continuous and discrete analysis, which are omitted here.

3 Applications

In this section, we will present some applications for the established results above. Some new bounds for solutions of certain dynamic equations on time scales will be derived in the following examples.

Example 1: Consider the delay dynamic integral equation on time scales

(68)

with the initial condition

(69)

where u ∈ C _rd (T₀, R), C = u^p(t₀), p is a positive number with p ≥ 1, τ, α are defined as in Theorem 2.1, ϕ ∈ C _rd ([α, t₀] ⋂ T, R).

Theorem 3.1 Suppose, u(t) is a solution of (68) and assumes |F(t, u)| ≤ f(t)|u|, where f ∈ C _rd (T₀, R₊), then we have

(70)

where

(71)

Proof: From (68), we obtain

(72)

Let ω ∈ C(R₊, R₊), and ω(v) = v. Then, (72) can be rewritten as

(73)

A suitable application of Theorem 2.1 to (73) yields the desired inequality.

Remark 3.1: In the proof for Theorem 3.1, if we apply Theorem 2.2 instead of Theorem 2.1 to (73), then we obtain another bound for u(t) as follows.

(74)

where K > 0 ia an arbitrary constant, and

(75)

Example 2: Consider the following delay dynamic differential equation on time scales

with the initial condition

(76)

where u ∈ C _rd (T₀, R), C = u^p(t₀), p is a positive number with p ≥ 1, α, τ _i , i = 1, 2 are defined as in Theorem 2.3, ϕ ∈ C _rd ([α, t₀] ⋂ T, R).

Theorem 3.2: Suppose u(t) is a solution of (76), and assume |F(t, u, v)| ≤ f(t)|u| + |v|, |M(t, u)| ≤ h(t)|u|, where f, h ∈ C _rd (T₀, R₊), then have

(77)

where G is defined as in Theorem 3.1.

Proof: The equivalent integral form of (75)-(76) can be denoted by

(78)

Then,

(79)

where ω ∈ C (R₊, R₊), and ω(u) = u.

A suitable application of Theorem 2.3 to (79) yields the desired inequality.

4 Conclusions

In this paper, some new integral inequalities on time scales have been established. As one can see through the present examples, the established results are useful in dealing with the boundedness of solutions of certain delay dynamic equations on time scales. Finally, we note that the process of Theorem 2.1-2.5 can be applied to establish delay integral inequalities with two independent variables on time scales.