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On some delay nonlinear integral inequalities in two independent variables
Journal of Inequalities and Applications volume 2015, Article number: 313 (2015)
Abstract
The purpose of this paper is to generalize some integral inequalities in two independent variables with delay which can be used as handy tools in the study of certain partial differential equations and integral equations with delay. An application is given to illustrate the usefulness of our results.
1 Introduction
The integral inequalities which provide explicit bounds on unknown functions play an important role in the development of the theory of differential and integral equations. The Gronwall-Bellman inequality and its various linear and nonlinear generalizations are crucial in the discussion of the existence, uniqueness, continuation, boundedness, oscillation and stability, and other qualitative properties of solutions of differential and integral equations. The literature on such inequalities and their applications is vast; see [1–7] and the references given therein.
In [8] Ferreira and Torres, have discussed the following useful nonlinear retarded integral inequality:
Motivated by the results obtained in [8, 9] and [10] we establish a general two independent variables retarded version which can be used as a tool to study the boundedness of solutions of differential and integral equations.
2 Main results
In what follows, R denotes the set of real numbers, \(R_{+}= [ 0,+\infty ) \), \(I_{1}= [ 0,M ] \), \(I_{2}= [ 0,N ] \) are the given subsets of R, and \(\Delta=I_{1}\times I_{2}\). \(C^{i}(A,B)\) denotes the class of all i times continuously differentiable functions defined on a set A with range in the set B (\(i=1,2,\ldots\)) and \(C^{0}(A,B)=C(A,B)\).
Lemma 2.1
Let \(u(x,y),f(x,y),\sigma(x,y)\in C(\Delta,R_{+})\) and \(a(x,y)\in C(\Delta,R_{+})\) be nondecreasing with respect to \((x,y)\in\Delta\), let \(\alpha\in C^{1}(I_{1},I_{1})\), \(\beta\in C^{1}(I_{2},I_{2})\) be nondecreasing with \(\alpha(x)\leq x\) on \(I_{1}\), \(\beta(y)\leq y\) on \(I_{2}\). Further let \(\psi,\omega\in C(R_{+},R_{+})\) be nondecreasing functions with \(\{\psi,\omega \} (u)>0\) for \(u>0\), and \(\lim_{u\rightarrow +\infty}\psi(u)=+\infty\). If \(u(x,y)\) satisfies
for \((x,y)\in\Delta\), then
for \(0\leq x\leq x_{1}\), \(0\leq y\leq y_{1}\), where
and \(( x_{1},y_{1} ) \in\Delta\) is chosen so that \(( G ( a ( x,y ) ) +\int_{0}^{\alpha(x)}\int_{0}^{\beta (y)}\sigma_{1}(s,t)f(s,t)\,dt\,ds ) \in \operatorname{Dom} ( G^{-1} ) \).
Theorem 2.2
Let u, a, f, α, and β be as in Lemma 2.1. Let \(\sigma _{1}(x,y),\sigma_{2}(x,y)\in C(\Delta,R_{+})\). Further \(\psi,\omega, \eta\in C(R_{+},R_{+})\) be nondecreasing functions with \(\{ \psi ,\omega,\eta \} (u)>0\) for \(u>0\), and \(\lim_{u\rightarrow +\infty }\psi(u)=+\infty\).
(A1) If \(u(x,y)\) satisfies
for \((x,y)\in\Delta\), then
for \(0\leq x\leq x_{1}\), \(0\leq y\leq y_{1}\), where G is defined by (2.3) and
and \(( x_{1},y_{1} ) \in\Delta\) is chosen so that \(( p(x,y)+\int_{0}^{\alpha(x)}\int_{0}^{\beta(y)}\sigma _{1}(s,t)f(s,t)\,dt\,ds ) \in \operatorname{Dom} ( G^{-1} ) \).
(A2) If \(u(x,y)\) satisfies
for \((x,y)\in\Delta\), then
for \(0\leq x\leq x_{1}\), \(0\leq y\leq y_{1}\), where G and p are as in (A1), and
and \(( x_{1},y_{1} ) \in\Delta\) is chosen so that \([ F ( p(x,y) ) +\int_{0}^{\alpha(x)}\int_{0}^{\beta(y)}\sigma _{1}(s,t)f(s,t)\,dt\,ds ] \in \operatorname{Dom} ( F^{-1} ) \).
(A3) If \(u(x,y)\) satisfies
for \((x,y)\in\Delta\), then
for \(0\leq x\leq x_{1}\), \(0\leq y\leq y_{1}\) where
and \(( x_{1},y_{1} ) \in\Delta\) is chosen so that \([ p_{0}(x,y)+\int_{0}^{\alpha(x)}\int_{0}^{\beta(y)}\sigma _{1}(s,t)f(s,t)\,dt\,ds ] \in \operatorname{Dom} ( F^{-1} ) \).
The proof of the theorem will be given in the next section.
Remark 2.3
If we take \(\sigma_{2}(x,y)=0\), then Theorem 2.2(A1) reduces to Lemma 2.1.
Corollary 2.4
Let the functions u, f, \(\sigma_{1}\), \(\sigma_{2}\), a, α, and β be as in Theorem 2.2. Further \(q>p>0\) are constants.
(B1) If \(u(x,y)\) satisfies
for \((x,y)\in\Delta\), then
(B2) If \(u(x,y)\) satisfies
for \((x,y)\in\Delta\), then
where
Corollary 2.5
Let the functions u, a, f, \(\sigma_{1}\), \(\sigma_{2}\), α, and β be as in Theorem 2.2. Further q, p, and r are constants with \(p>0\), \(r>0\) and \(q>p+r\).
(C1) If \(u(x,y)\) satisfies
for \((x,y)\in\Delta\), then
where
(C2) If \(u(x,y)\) satisfies
for \((x,y)\in\Delta\), then
where
Theorem 2.6
Let u, f, \(\sigma_{1}\), \(\sigma_{2}\), a, α, β, ψ, ω, and η be as in Theorem 2.2. If \(u(x,y)\) satisfies
for \((x,y)\in\Delta\), then
for \(0\leq x\leq x_{2}\), \(0\leq y\leq y_{2}\), where
and \(( x_{2},y_{2} ) \in\Delta\) is chosen so that \([ F_{1} ( p_{1} ( x,y ) ) +\int_{0}^{\alpha (x)}\int_{0}^{\beta(y)}\sigma_{1}(s,t)f(s,t)\,dt\,ds ] \in \operatorname{Dom} ( F_{1}^{-1} ) \).
Theorem 2.7
Let u, f, \(\sigma_{1}\), \(\sigma_{2}\), a, α, β, ψ, and ω be as in Theorem 2.2, and \(p>0\) a constant. If \(u(x,y)\) satisfies
for \((x,y)\in\Delta\), then
for \(0\leq x\leq x_{2}\), \(0\leq y\leq y_{2}\), where
and \(F_{1}\), \(p_{1}\) are as in Theorem 2.6 and \(( x_{2},y_{2} ) \in \Delta\) is chosen so that
Remark 2.8
The inequality established in Theorem 2.7 generalizes Theorem 1 of [10] (with \(p=1\), \(a(x,y)=b(x)+c(x)\), \(\sigma_{1}(s,t)f(s,t)=h(s,t)\), and \(\sigma_{1}(s,t) ( \int_{0}^{s}\sigma_{2}(\tau,t)\,d\tau ) =g(s,t)\)).
Corollary 2.9
Let u, f, \(\sigma_{1}\), \(\sigma_{2}\), a, α, β, and ω be as in Theorem 2.2 and \(q>p>0\) be constants. If \(u(x,y)\) satisfies
for \((x,y)\in\Delta\), then
for \(0\leq x\leq x_{2}\), \(0\leq y\leq y_{2}\), where
and \(F_{1}\) is defined in Theorem 2.6.
Remark 2.10
Setting \(a(x,y)=b(x)+c(x)\), \(\sigma_{1}(s,t)f(s,t)=h(s,t)\), and \(\sigma_{1}(s,t) ( \int_{0}^{s}\sigma_{2}(\tau,t)\,d\tau ) =g(s,t) \) in Corollary 2.9 we obtain Theorem 1 of [11].
Remark 2.11
Setting \(a(x,y)=c^{\frac{p}{p-q}}\), \(\sigma_{1}(s,t)f(s,t)=h(t)\), and \(\sigma_{1}(s,t) ( \int_{0}^{s}\sigma_{2}(\tau,t)\,d\tau ) =g(t)\) and keeping y fixed in Corollary 2.9, we obtain Theorem 2.1 of [12].
3 Proof of theorems
Proof of Lemma 2.1
First we assume that \(a ( x,y ) >0\). Fixing an arbitrary \((x_{0},y_{0})\in\Delta\), we define a positive and nondecreasing function \(z(x,y)\) by
for \(0\leq x\leq x_{0}\leq x_{1}\), \(0\leq y\leq y_{0}\leq y_{1}\), then \(z(0,y)=z(x,0)=a(x_{0},y_{0})\) and
and then we have
or
Keeping y fixed, setting \(x=s\), integrating the last inequality with respect to s from 0 to x, and making the change of variable \(s=\alpha(x)\) we get
Since \((x_{0},y_{0})\in\Delta\) is chosen arbitrary,
So from the last inequality and (3.1) we obtain (2.2). If \(a(x,y)=0\), we carry out the above procedure with \(\epsilon>0\) instead of \(a(x,y)\) and subsequently let \(\epsilon\rightarrow0\). □
Proof of Theorem 2.2
(A1) By the same steps of the proof of Lemma 2.1 we can obtain (2.5), with suitable changes.
(A2) Assume that \(a(x,y)>0\). Fixing an arbitrary \((x_{0},y_{0})\in \Delta\), we define a positive and nondecreasing function \(z(x,y)\) by
for \(0\leq x\leq x_{0}\leq x_{1}\), \(0\leq y\leq y_{0}\leq y_{1}\), then \(z(0,y)=z(x,0)=a(x_{0},y_{0})\) and
then
Keeping y fixed, setting \(x=s\) integrating the last inequality with respect to s from 0 to x, and making the change of variable \(s=\alpha(x)\) we get
Since \((x_{0},y_{0})\in\Delta\) is chosen arbitrarily, the last inequality can be rewritten as
Since \(p(x,y)\) is a nondecreasing function, an application of Lemma 2.1 to (3.3) gives us
From (3.2) and (3.4) we obtain the desired inequality (2.8).
Now we take the case \(a(x,y)=0\) for some \((x,y)\in\Delta\). Let \(a_{\epsilon}(x,y)=a(x,y)+\epsilon\), for all \((x,y)\in\Delta\), where \(\epsilon >0\) is arbitrary, then \(a_{\epsilon}(x,y)>0\) and \(a_{\epsilon}(x,y)\in C(\Delta,R_{+})\) be nondecreasing with respect to \((x,y)\in\Delta\). We carry out the above procedure with \(a_{\epsilon}(x,y)>0\) instead of \(a(x,y)\), and we get
where
Letting \(\epsilon\rightarrow0^{+}\), we obtain (2.8).
(A3) Assume that \(a(x,y)>0\). Fixing an arbitrary \((x_{0},y_{0})\in \Delta\), we define a positive and nondecreasing function \(z(x,y)\) by
for \(0\leq x\leq x_{0}\leq x_{1}\), \(0\leq y\leq y_{0}\leq y_{1}\), then \(z(0,y)=z(x,0)=a(x_{0},y_{0})\), and
By the same steps as the proof of Theorem 2.2(A2), we obtain
We define a nonnegative and nondecreasing function \(v(x,y)\) by
then \(v(0,y)=v(x,0)=G ( a(x_{0},y_{0}) ) \),
and then
or
Fixing y and integrating the last inequality with respect to \(s=x\) from 0 to x and using a change of variables yield the inequality
or
From (3.5)-(3.7), and since \((x_{0},y_{0})\in\Delta\) is chosen arbitrarily, we obtain the desired inequality (2.11). If \(a(x,y)=0\), we carry out the above procedure with \(\epsilon>0\) instead of \(a(x,y)\) and subsequently let \(\epsilon\rightarrow0\). □
Proof of Corollary 2.4
(B1) In Theorem 2.2(A1), by letting \(\psi ( u ) =\omega ( u ) =u^{p}\), we obtain
and hence
From equation (2.6), we obtain the inequality (2.13).
(B2) In Theorem 2.2(A1), by letting \(\psi(u)=u^{q}\), \(\omega (u)=u^{p}\) we have
and
we obtain the inequality (2.15). □
Proof of Corollary 2.5
(C1) An application of Theorem 2.2(A2) with \(\psi ( u ) =u^{q}\), \(\omega ( u ) =u^{p}\), and \(\eta ( u ) =u^{r}\) yields the desired inequality (2.21).
(C2) An application of Theorem 2.2(A3) with \(\psi ( u ) =u^{q}\), \(\omega ( u ) =u^{p}\), and \(\eta ( u ) =u^{r}\) yields the desired inequality (2.15). □
Proof of Theorem 2.6
Suppose that \(a(x,y)>0\). Fixing an arbitrary \((x_{0},y_{0})\in\Delta \), we define a positive and nondecreasing function \(z(x,y)\) by
for \(0\leq x\leq x_{0}\leq x_{2}\), \(0\leq y\leq y_{0}\leq y_{2}\), then \(z ( 0,y ) =z(x,0)=a(x_{0},y_{0})\),
and
then
Keeping y fixed, setting \(x=s\) and integrating the last inequality with respect to s from 0 to x and making the change of variable, we obtain
then
Since \((x_{0},y_{0})\in\Delta\) is chosen arbitrary, the last inequality can be restated as
It is easy to observe that \(p_{1} ( x,y ) \) is positive and nondecreasing function for all \((x,y)\in\Delta\), then an application of Lemma 2.1 to (3.9) yields the inequality
From (3.10) and (3.8) we get the desired inequality (2.21).
If \(a(x,y)=0\), we carry out the above procedure with \(\epsilon>0\) instead of \(a(x,y)\) and subsequently let \(\epsilon\rightarrow0\). □
Proof of Theorem 2.7
An application of Theorem 2.6, with \(\eta ( u ) =u^{p}\) yields the desired inequality (2.26). □
Proof of Corollary 2.9
An application of Theorem 2.7 with \(\psi ( u(x,y) ) =u^{p}\) to (2.28) yields the inequality (2.29); to save space we omit the details. □
4 An application
In this section, we present an application of our results to the qualitative analysis of solutions to the retarded integro differential equations. We study the boundedness of the solutions of the initial boundary value problem for partial delay integro differential equations of the form
for \((x,y)\in\Delta\), where \(z,b\in C ( \Delta,R_{+} ) \), \(A\in C(\Delta\times R^{2},R)\), \(B\in C ( \Delta\times R,R ) \) and \(h_{1}\in C^{1} ( I_{1},R_{+} ) \), \(h_{2}\in C^{1} ( I_{2},R_{+} ) \) are nondecreasing functions such that \(h_{1}(x)\leq x\) on \(I_{1}\), \(h_{2}(y)\leq y\) on \(I_{2}\), and \(h_{1}^{\prime}(x)<1\), \(h_{2}^{\prime}(y)<1\).
Theorem 4.1
Assume that the functions b, A, B in (4.1) satisfy the conditions
where \(a(x,y)\), \(\sigma_{1}(s,t)\), \(f(s,t)\), and \(\sigma_{2}(\tau,t)\) are as in Theorem 2.2, \(q>p>0\) are constants. If \(z(x,y)\) satisfies (4.1), then
where
and
and \(\overline{\sigma}_{1}(\gamma,\xi)=\sigma_{1} ( \gamma +h_{1}(s),\xi+h_{2}(t) ) \), \(\overline{\sigma}_{2} ( \mu,\xi ) =\sigma_{2} ( \mu,\xi+h_{2}(t) )\), \(\overline{f}(\gamma ,\xi)=f ( \gamma+h_{1}(s),\xi+h_{2}(t) ) \).
Proof
If \(z(x,y)\) is any solution of (4.1), then
Using the conditions (4.2)-(4.4) in (4.6) we obtain
Now making a change of variables on the right side of (4.7), \(s-h_{1}(s)=\gamma\), \(t-h_{2}(t)=\xi\), \(x-h_{1}(x)=\alpha(x)\) for \(x\in I_{1}\), \(y-h_{2}(y)=\beta(y)\) for \(y\in I_{2}\) we obtain the inequality
We can rewrite the inequality (4.8) as follows:
As an application of Corollary 2.4(B2) to (4.9) with \(u(x,y)=\vert z(x,y)\vert \) we obtain the desired inequality (4.5). □
Corollary 4.2
If \(z(x,y)\) satisfies the equation
and we suppose that the conditions (4.2)-(4.4) are satisfied, then we have the inequality
then we obtain
where \(\overline{\sigma}_{1}\), f̅, \(\overline{\sigma}_{2}\), \(M_{1} \), and \(M_{2}\) are as in Theorem 4.1.
Proof
By an application of Corollary 2.4(B1) to (4.11) we obtain the desired inequality (4.12). □
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Boudeliou, A., Khellaf, H. On some delay nonlinear integral inequalities in two independent variables. J Inequal Appl 2015, 313 (2015). https://doi.org/10.1186/s13660-015-0837-7
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DOI: https://doi.org/10.1186/s13660-015-0837-7