1. Introduction
The existence and uniqueness of solutions to stochastic differential equations driven by Brownian motion have been studied by many authors (see [
1,
2,
3] ).
Also the non-local coupled system was studied by some authors (see for example [
4,
5,
6,
7,
8] and references therein).
The results are important since they cover non-local generalizations of fractional stochastic differential equations (FSDE), more applications are arising in fields such as heat conduction, electromagnetic theory and dynamic system (see for example [
9,
10]).
Many authors have been interested to study the fractional stochastic differential equations see [
11,
12,
13,
14] and investigate their results all the time.
Let
be a probability space see [
15].
The motive of this work is to generalize the scope results of A.M.A. El-Sayed [
16,
17] on the stochastic fractional operators and the solution of non-local coupled systems of stochastic differential equations see [
7,
16].
Also, we study the existence of solutions of a coupled system of It-differential equation and arbitrary (fractional)orders random differential equation subject to two coupled systems of non-local random and stochastic integral conditions. The effect of random functions and data which ensures the continuous dependence of the solution has been proved.
Let and be such that
Let
be the class of all mean square (m.s) continuous stochastic processes on
I with norm
Definition 1. Let and The stochastic integral operator of order ν is defined by and the stochastic fractional order derivative is defined by For the properties of stochastic fractional calculus see [16]. Let
and
Here we prove the existence of solutions
of the two nonlocal fractional coupled system of the two It
-deferential and arbitrary orders, differential equations
and
with the stochastic and random integral conditions
and the coupled system of the two stochastic and random non-local integral conditions
where
and
are two second order random variables.
The existence of solutions
of the problems (
1)–(
3) and (
1)–(
2) and (
4) are proved. The continuous dependence of the unique solutions
on
and
and
and the solution
on
will be studied.
2. Integral Representations of the Solution
Consider the following assumptions:
is a continuous on I.
are (Caratheodory) measurable in
and continuous in
and there exist
and two bounded measurable functions
such that
are Caratheodory. There exist
and two bounded measurable functions
such that
Now, operating by
on Equation (
1), we obtain
Let
then from (
1)–(
2) we obtain
and
Then we have the following lemma
Lemma 1. The solutions of the problems (1)–(3) and (1), (2) and (4) can be given by respectively.
Proof. Integrating the Equations (
7) and (
9) (see [
12,
13,
14,
15,
16,
17,
18]) with substitution by (
8) and using the non-local conditions (
3) and (
4) the equivalent between the problem (
1)–(
3) and the integral representation (
10)–(
11) and the problem (
1), (
2) and (
4) and the integral representation (
12)–(
13) can be proved. □
3. Solutions of the Problem (1)–(3)
Theorem 1. Let the assumptions – be satisfied, then the problem (1)–(3) has at least one solution . Proof. Consider the set
such that
and define the mapping
where
Let
then
where
then
and the class
is uniformly bounded on
□
Let
such that
then
This proves the equicontinuity of the class on .
Let
we get (see [
15])
This proves that the operator
is continuous. Consequently, the closure of
is compact and (see [
15]) and integral Equation (11) has a solution
.
Let the set
be such that
and define the mapping
such that
Let
, then
where
then the class
is uniformly bounded.
Let
then
then the class
is equicontinuous.
Let be such that
Applying Schauder Fixed Point Theorem [
15], (
10) has a solution
3.1. Uniqueness Theorem
To discuss the uniqueness of the solution Y of (11) consider the assumptions instead of such that
are Caratheodory and satisfy second argument Lipschitz condition
Caratheodory and satisfy second argument Lipschitz condition
It is clear that the assumptions imply the assumptions
Theorem 2. Let and be satisfied, then the solution of (1)–(3) is unique.
Proof. Let
and
be two solutions of (11), then
and
Using
we can get
then the solution of (
11) is unique. Consequently, the solution of (
10) is unique. □
Combining the results, then we deduce that the solution
of the problem the problem (
1)–(
3) is unique.
3.2. Continuous Dependence
Theorem 3. The unique solution of the problem (1)–(3) depends continuously on Proof. Let
be the solution of
In the same way, we have
and
□
Theorem 4. The solution of (1)–(3) depends continuously on and . Proof. Let
be the solution of
If
then
and
and similarly we have
and
From (
18) and (
19) the solution
depends continuously on
□
Theorem 5. The solution of (1)–(3) depends continuously on . Proof. Let
be the solution of
such that
then
and
Now
which is complete the proof. □
4. Solutions of the Problem (1)–(2) and (4)
Let
be the set of ordered pairs
and
Define the mapping
where
are given by
4.1. Existence Theorem
Theorem 6. Let and be satisfied, then (1)–(2) and (4) has a solution . Proof. Let
then we have
This implies that
where
then the class
is uniformly bounded and
□
Let
such that
then
But
then from (
25) and (
26),
is equicontinuous on
.
Let
then applying stochastic Lebesgue dominated convergence Theorem [
15], we can obtain -5.0cm0cm
This proves that is continuous.
Then the closure of
is compact and (see [
15]) the problem (
1)–(
2) and (
4) has a solution
4.2. Uniqueness of the Solution
Theorem 7. Let and are satisfied. Then the solution of (1)–(2) is unique. Proof. Let
and
be the solution of
then we can get
This implies that
then
and
□
4.3. Continuous Dependence
Theorem 8. The solution of the problem (1)–(2) and (4) is continuously dependent on Proof. Let
be the solution of (
1)–(
2) and (
4)
such that
. Then we have
and
Similarly, we deduce that
and
□
Theorem 9. The solution of (1)–(2) and (4) depends continuously on and Proof. Let
be the solution of (
1)–(
2) and (
4) such that
Let
then -5.0cm0cm
This implies that
which completes the proof. □
Theorem 10. The solution of (1)–(2) and (4) depends continuously on , . Proof. Let
be the solution of
such that
then
Now
which completes the proof. □
5. Example
Consider the coupled system
subject to
where
and
Easily, the coupled system (
31) with nonlocal integral conditions (
32) satisfies all the assumptions (a1)–(a6) of Theorem 1. with
6. Conclusions
Here, we have combined between the three senses of derivatives, the stochastic Ito-differential and the fractional and integer orders derivatives for the second order stochastic process in two non-local problems of the coupled system of the two random and stochastic differential Equations (
1) and (
2) with the stochastic and random integral conditions (
3) and the coupled system of the two stochastic and random nonlocal integral conditions (
4) where
and
are two second order random variables.
The existence of solutions
of the problems (
1)–(
3) and (
1)–(
2) and (
4) are proved. The unique solution and the sufficient conditions are discussed. The continuous dependence of the solution
on the two random variables
and
and on the two random functions
and
and the continuous dependence of the solution
on the fractional order derivative
are be studied. An example is given.