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Some generalized Volterra–Fredholm type dynamical integral inequalities in two independent variables on time scale pairs
Advances in Difference Equations volume 2020, Article number: 31 (2020)
Abstract
In this paper, we study some new Volterra–Fredholm type dynamical integral inequalities in two independent variables on time scale pairs, which provide explicit bounds on unknown functions. These inequalities generalize and extend some known inequalities and can be used as effective tools in the qualitative theory of certain classes of partial dynamic equations on time scales. Finally, an example is provided to illustrate the usefulness of our result.
1 Introduction
Beginning in 1988, a seminal paper by Stefan Hilger [1] initiated a theory capable of containing both continuous and discrete analysis in a consistent way. Since then, the theory has attracted wide attention. As one of the most fundamental objects, dynamic equations on time scales has been extensively investigated in recent years, we refer the reader to the books [2, 3] and to the papers [4–24] and the references therein.
As we all known, inequalities are a powerful tool in the study of qualitative properties of solutions of differential, integral, and difference equations, and so on. During the last few years, a lot of dynamic inequalities have been extended by many authors. See [25–37]. For example, Anderson [28] considered the following nonlinear integral inequality in two independent variables on time scale pairs:
Ferreira and Torres [36] studied the following nonlinear integral inequality in two independent variables on time scale pairs:
Volterra–Fredholm-type integral inequality is an important integral inequality, which contains a definite integral of the unknown function, and has been given much attention by many authors, see [38–46] and the references therein. For example, Feng et al. [38] studied the following Volterra–Fredholm-type finite difference inequality:
Meng and Gu [46] considered the following nonlinear Volterra–Fredholm-type dynamic integral inequality on time scales:
But to our knowledge, Volterra–Fredholm-type dynamic integral inequalities in two independent variables on time scale pairs have been paid little attention in the literature so far. Motivated by the work done in [36, 38, 46], in this paper, we establish some generalized Volterra–Fredholm-type dynamic integral inequalities in two independent variables on time scale pairs, which not only extend some existing results in the literature, unify some known continuous and discrete inequalities, but also may be applied to the analysis of certain classes of partial dynamic equations on time scales.
2 Preliminaries
In what follows, we assume that \(\mathbf{T}_{1}\) and \(\mathbf{T}_{2}\) are two time scales with at least two points, \(x_{0}, \alpha\in\mathbf{T}_{1}\), \(y_{0}, \beta\in\widetilde{\mathbf{T}}_{2}\), \(\alpha>x_{0}\), \(\beta>y_{0}\), \(\widetilde{\mathbf{T}}_{1}=[x_{0},\infty)\cap\mathbf{T}_{1}\), \(\widetilde{\mathbf{T}}_{2}=[y_{0},\infty)\cap\mathbf{T}_{2}\), \(I_{1}=[x_{0},\alpha]\cap\mathbf{T}_{1}\), \(I_{2}=[y_{0},\beta]\cap\mathbf{T}_{2}\), \(D=\{(x,y,s,t)\in\widetilde{\mathbf{T}}_{1}\times\widetilde{\mathbf{T}}_{2}\times \widetilde{\mathbf{T}}_{1}\times\widetilde{\mathbf{T}}_{2}: x_{0}\leq s \leq x, y_{0}\leq t \leq y\}\), \(E=\{(x,y,s,t)\in {\widetilde{T}}_{1}\times\widetilde{\mathbf{T}}_{2} \times I_{1}\times I_{2}\}\). \(\mathcal{R}\) denotes the set of all regressive and rd-continuous functions, \(\mathcal{R}^{+}=\{P\in\mathcal{R}, 1+\mu(t)P(t)>0, t\in\mathbf{T}\}\). R denotes the set of real numbers, \(\mathbf{R}_{+}=[0, \infty)\), while Z denotes the set of integers.
Lemma 2.1
([33])
Let \(m>0\), \(n>0\), \(p>0\), \(\alpha>0\)and \(\beta>0\)be given, then for each \(x\geq0\),
holds for the cases when \(0< p<\alpha<\beta\)or \(0<\beta<\alpha<p\).
Lemma 2.2
([47])
Assume that \(x\geq0\), \(p\geq q\geq0\), and \(p\neq0\), then for any \(K>0\),
Lemma 2.3
([2, Theorem 6.1])
Supposeyandfare rd-continuous functions and \(p\in\mathcal{R}^{+}\). Then
implies
Lemma 2.4
([36])
Let \(u, a, f\in C(\widetilde{\mathbf{T}}_{1}\times\widetilde{\mathbf{T}}_{2}, \mathbf{R}_{+})\), withaandfnondecreasing in each of the variables and \(g\in C(D, \mathbf{R}_{+})\)be nondecreasing inxandy. If
then
where \(p(x,y,s)=\int^{y}_{y_{0}}f(x,y)g(x,y,s,t)\Delta t\).
Lemma 2.5
Let \(u, c, d\in C(\widetilde{\mathbf{T}}_{1}\times\widetilde{\mathbf{T}}_{2}, \mathbf{R}_{+})\)and \(k\geq0\)be a constant. If
then
where
Proof
For an arbitrary \(\varepsilon>0\), denote
From the assumptions, we have z is positive and nondecreasing in each of the variables. By (1) and (5), we have that
Delta differentiating with respect to the first variable and then with respect to the second, we obtain
From (6), we get
where \(h(x,y)\) is defined as in (4). Hence,
i.e.,
Delta integrating with respect to the second variable from \(y_{0}\) to y and noting that \(\frac{\partial z(x,y)}{\Delta_{1} x}|_{(x,y_{0})}=0\), we have
that is,
From Lemma 2.3 and \(z(x_{0},y)=k+\varepsilon\), we obtain
Noting that \(u(x,y)\leq z(x,y)\) and ε is arbitrary, it follows (2). This completes the proof. □
Lemma 2.6
Let \(u, c, d\in C(\mathbf{\widetilde{T}}_{1}\times\widetilde{\mathbf{T}}_{2}, \mathbf{R}_{+})\)and \(k\geq0\)be a constant. If
then
where
The proof of the Lemma is similar to the proof in Lemma 2.5, and therefore is omitted.
3 Main results
Theorem 3.1
Let \(u, a, b, h\in C(\mathbf{\widetilde{T}}_{1} \times \mathbf{\widetilde{T}}_{2}, \mathbf{R}_{+})\), withbandhnondecreasing in each variable, \(c, d\in C(D, R_{+})\)and let \(f, g\in C(E, R_{+})\)be nondecreasing inxandy. Assumep, q, r, mandnare nonnegative constants with \(p\geq q\), \(p\geq r\), \(p\geq m\), \(p\geq n\), \(p\neq 0\). Suppose thatusatisfies the following inequality:
If there exist positive constants \(K_{1}\)and \(K_{2}\)such that
then for arbitrary positive constants \(K_{3}\)and \(K_{4}\),
where
Proof
Denote
Then z is nondecreasing in each variable on \(\mathbf{\widetilde{T}} _{1}\times \mathbf{\widetilde{T}}_{2}\). From (10) and (16), we get
Then for \(K_{1}\), \(K_{2}\) satisfying (11) and arbitrary \(K_{3}, K_{4}>0\), it follows from Lemma 2.2 that
According to (18)–(22), we have
where \(A(x,y)\) is defined in (13), and
From (23) and Lemma 2.4, we have
where \(R(x,y)\) is defined in (14). By (24) and since A, B are nondecreasing in each variable on \(\mathbf{\widetilde{T}} _{1}\times \mathbf{\widetilde{T}}_{2}\), we obtain
where \(C(x,y)=A(x,y)+B(x,y)\). From the definitions of B, C, λ and (25), we obtain
So we get
Noting (17), (25), and (26), we get the desired inequality (12). This completes the proof. □
Remark 3.1
If we take \(\mathbf{T}=\mathbf{N}\), \(b(x,y)=h(x,y) \equiv 1\), then Theorem 3.1 reduces to [38, Theorem 5]. If we take \(\mathbf{T}=\mathbf{N}\), \(b(x,y)=h(x,y)\equiv 1\), \(c(x,y,s,t)=c(s,t)\), \(f(x,y,s,t)=c(s,t)\), \(d(x,y,s,t)=g(x,y,s,t)\equiv 0\), then Theorem 3.1 reduces to [39, Theorem 2.1].
Theorem 3.2
Assume \(l\in C(\mathbf{\widetilde{T}}_{1}\times \mathbf{\widetilde{T}}_{2}, \mathbf{R}_{+})\)and \(b\in C( \mathbf{\widetilde{T}}_{1}\times \mathbf{\widetilde{T}}_{2}, (0, \infty ))\)are nondecreasing in each variable, \(v\in C(D, (0,\infty ))\)is nondecreasing inxandy, \(w\in C(D, (0,\infty ))\)is nonincreasing inxandy. Assumeu, a, c, d, f, g, h, p, q, r, mandnare defined as in Theorem 3.1; whilekandθare nonnegative constants with \(0< p< k<\theta \)or \(0<\theta <k<p\). Suppose thatusatisfies the following inequality:
If there exist positive constants \(K_{1}\)and \(K_{2}\)such that
then for arbitrary positive constants \(K_{3}\)and \(K_{4}\),
where
Proof
From Lemma 2.1 and (27), we have
Denote
From the assumptions on v and w, we have that φ is nondecreasing in x and y, then z is nondecreasing in each variable on \(\mathbf{\widetilde{T}}_{1}\times \mathbf{\widetilde{T}}_{2}\). From (34) and (35), we get
For \(K_{1}\), \(K_{2}\) satisfying (28) and arbitrary \(K_{3}, K _{4}>0\), it follows from Lemma 2.2 that
According to (37)–(41), we have
where à and F̃ are defined in (30) and (32),
The rest of the argument is similar to that of Theorem 3.1, and therefore is omitted. This completes the proof. □
Theorem 3.3
Assume that \(u, a\in C(\mathbf{\widetilde{T}} _{1}\times \mathbf{\widetilde{T}}_{2}, \mathbf{R}_{+})\), whileb, c, d, f, g, h, p, q, r, mandnare defined as in Theorem 3.1. Suppose thatusatisfies the following inequality:
If there exist positive constants \(K_{1}\)and \(K_{2}\)such that
then for arbitrary positive constants \(K_{3}\)and \(K_{4}\),
where
Proof
Denote
Then z is nondecreasing in each variable on \(\mathbf{\widetilde{T}} _{1}\times \mathbf{\widetilde{T}}_{2}\). From (42) and (48), we get
For \(K_{1}\), \(K_{2}\) satisfying (43) and arbitrary \(K_{3}, K _{4}>0\), it follows from Lemma 2.2 that
According to (50)–(54), we have
where \(\widetilde{C}(x,y)=\widetilde{A}(x,y)+B(x,y)\), Ã is defined in (45), and
From Lemma 2.5, we have
where Q is defined in (46). The rest of the proof is similar to that of Theorem 3.1, and therefore is omitted. This completes the proof. □
Theorem 3.4
Assume \(u, a\in C(\mathbf{\widetilde{T}}_{1} \times \mathbf{\widetilde{T}}_{2}, \mathbf{R}_{+})\), whileb, c, d, f, g, h, p, q, r, mandnare defined as in Theorem 3.1. Suppose thatusatisfies the following inequality:
If there exist positive constants \(K_{1}\)and \(K_{2}\)such that
then for arbitrary positive constants \(K_{3}\)and \(K_{4}\),
where
and
The proof of the theorem is similar to that of Theorem 3.3, and therefore is omitted.
4 Application
In this section, we will present an application for our results.
Example 1
Consider the following partial dynamic equation with positive and negative coefficients:
where \(u, c, d, f, g \in C(\mathbf{\widetilde{T}}_{1}\times \mathbf{\widetilde{T}}_{2}, \mathbf{R}_{+})\), \(v, w \in C( \mathbf{\widetilde{T}}_{1}\times \mathbf{\widetilde{T}}_{2}, (0, \infty ))\), q, r and m are nonnegative constants with \(1\geq q\), \(1 \geq r\), \(1\geq m\). Assume θ is a quotient of an even integer over odd integer, k is a nonnegative constant with \(0<1<k<\theta \) or \(0<\theta <k<1\).
If there exists a positive constant \(K_{1}\) such that
then for arbitrary positive constants \(K_{3}\) and \(K_{4}\),
where
Proof
Let \(u(x,y)\) be a solution of (55). Then, it satisfies the following dynamical integral equation:
Then from (58), (60), and (63), we have
An application of Theorem 3.2 with \(p=1\), \(b(x,y)=l(x,y)\equiv 1\), \(c(x,y,s,t)=c(s,t)\), \(d(x,y,s,t)=d(s,t)\), \(v(x,y,s,t)=v(s,t)\), \(w(x,y,s,t)=w(s,t)\), \(f(x,y,s,t)=f(s,t)\) and \(g(x,y,s,t)\equiv 0\) yields (57). □
5 Conclusions
We have established several generalized Volterra–Fredholm-type dynamical integral inequalities in two independent variables on time scale pairs using an inequality introduced in [33]. As one can see, Theorems 3.1–3.4 generalize many known results in the literature. Theorem 3.2 can be applied to deal with the bounds of solutions of certain partial dynamic equation with positive and negative coefficients. Moreover, unlike some existing results in the literature (e.g., [28, 36, 37]), the integral inequalities considered in this paper involve the forward jump operator \(\sigma (x)\) on a time scale, which results in difficulties in the estimation on the explicit bounds of the unknown function \(u(x,y)\).
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Acknowledgements
The authors are indebted to the anonymous referees for their valuable suggestions and helpful comments which helped improve the paper significantly.
Funding
This research was supported by the Natural Science Foundation of Shandong Province (China) (No. ZR2018MA018), and the National Natural Science Foundations of China (Nos. 11671227, 61873144).
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Liu, H., Yin, C. Some generalized Volterra–Fredholm type dynamical integral inequalities in two independent variables on time scale pairs. Adv Differ Equ 2020, 31 (2020). https://doi.org/10.1186/s13662-020-2504-7
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DOI: https://doi.org/10.1186/s13662-020-2504-7