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Article

Existence–Uniqueness and Wright Stability Results of the Riemann–Liouville Fractional Equations by Random Controllers in MB-Spaces

1
Faculty of Civil Engineering, Slovak University of Technology, Radlinského 11, 810 05 Bratislava, Slovakia
2
Institute for Research and Applications of Fuzzy Modeling (IRAFM), University of Ostrava, 30. Dubna 22, 701 03 Ostrava 1, Czech Republic
3
School of Mathematics, Iran University of Science and Technology, Narmak, Tehran 16844, Iran
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
Mathematics 2021, 9(14), 1602; https://doi.org/10.3390/math9141602
Submission received: 10 June 2021 / Revised: 24 June 2021 / Accepted: 29 June 2021 / Published: 7 July 2021
(This article belongs to the Special Issue Set-Valued Analysis II)

Abstract

:
We apply the random controllers to stabilize pseudo Riemann–Liouville fractional equations in MB-spaces and investigate existence and uniqueness of their solutions. Next, we compute the optimum error of the estimate. The mentioned process i.e., stabilization by a control function and finding an approximation for a pseudo functional equation is called random HUR stability. We use a fixed point technique derived from the alternative fixed point theorem (FPT) to investigate random HUR stability of the Riemann–Liouville fractional equations in MB-spaces. As an application, we introduce a class of random Wright control function and investigate existence–uniqueness and Wright stability of these equations in MB-spaces.

1. Introduction and Preliminaries

We introduce the random control functions that help us to investigate existence, uniqueness, and random Wright stability of integro-differential equations in MB-spaces. Some good references for the theory and application of fractional analysis are [1,2,3].
We set I = [ 0 , 1 ] , I = ( 0 , 1 ) , R = [ , + ] , J = [ 0 , + ] and J = ( 0 , + ) . We denote the set of distribution distance mappings (DDM) by Σ + . Now, σ Σ + means that σ is a mapping from R to 𝕀, written by σ τ for σ ( τ ) , and is left continuous and non-decreasing on ℝ and also σ 0 is zero and σ + = 1 . Now, S + Σ + consists of all (proper) mappings σ Σ + for which σ + = 1 , and σ τ means the left limit at the point τ ; for some more details, see [4,5,6]. Note that proper DDM’s are the DDM’s of non-negative random variables (i.e., of those random variables g that a.s. take non-negative real values, ( P ( { g < 0 } { g = } ) = 0 )).
The maximal element in ( Σ + , ) is τ 0 , which is defined by
τ 0 = 0 , if τ R J , 1 , if τ J .
Definition 1
([5,7,8]). A continuous binary operation : I × I I is a CTN (continuous t-norm) whenever
(a) 
ζ ξ = ξ ζ and ζ ( κ ξ ) = ( ζ κ ) ξ for all ζ , ξ , κ I ;
(b) 
ζ 1 = ζ for all ζ I ;
(c) 
ζ κ ζ κ when ζ ζ and κ κ for every ζ , ζ , κ , κ I .
For instance,
(1)
ϑ P κ = ϑ κ (: the product CTN);
(2)
ϑ M κ = { ϑ , κ } (: the minimum CTN);
(3)
ϑ L κ = { ϑ + κ 1 , 0 } (: the Lukasiewicz CTN).
Definition 2
([6]). Let ∗ be a CTN, W be a linear space and ζ : W S + be a DDM-valued mapping. Now, ( W , ζ , ) is called an MN-space if:
(MN1) ζ τ w = τ 0 for every τ J if and only if w = 0 ;
(MN2) ζ τ α w = ζ τ | α | w for each w W and α 0 in ℂ
(MN3) ζ τ + ς w + w ζ τ w ζ ς w for every w and w in W and τ , ς J .
Here, MB-space represents a complete MN-space [9,10]. In the following, we suppose that = M .
Theorem 1
([11,12]). Consider the complete J -valued metric space ( S , δ ) and also consider the self-map Λ on S such that
δ ( Λ s , Λ t ) κ δ ( t , s ) , κ < 1 , where κ is a Lipschitz constant .
Assume that s S , so there are two options:
( I ) δ ( Λ m s , Λ m + 1 s ) = , m N ,
or
(II) there is m 0 N such that
(1) 
δ ( Λ m s , Λ m + 1 s ) < , m m 0 ;
(2) 
the sequence Λ m s converges to a fixed point t of Λ;
(3) 
t V = { t S δ ( Λ m 0 s , t ) < } is the unique fixed point of Λ in V;
(4) 
( 1 κ ) δ ( t , t ) δ ( t , Λ t ) for every t V .

2. Riemann–Liouville Fractional Equations

Let u : [ p , q ] R ( 0 < p < q < ) be a continuous function and ϱ > 0 a real number. We define the Riemann–Liouville fractional integrals of order ϱ , by
p I s ϱ u ( s ) = 1 Γ ( ϱ ) p s ( s σ ) ϱ 1 u ( σ ) d σ , p < s .
Using the definition of Riemann–Liouville fractional integrals, we define the Riemann–Liouville derivatives as follows:
p D s ϱ u ( s ) = d d s k p I s k ϱ u ( s ) = 1 Γ ( k ϱ ) d d s k p s ( s σ ) k ϱ 1 u ( σ ) d σ , p < s , k 1 < ϱ < k .
Let T be a real positive number. Consider the Riemann–Liouville fractional Volterra integro-differential equation, defined by
0 D s ϱ u ( s ) = α ( s , u ( s ) ) + 0 s K ( s , σ , u ( σ ) ) d σ
where ϱ I , α : [ 0 , T ] × W W , K : [ 0 , T ] × [ 0 , T ] × W W .
In [13], Goleţ, defined the concept of differentiable functions in an MB-space ( W , ζ , ) and proved that, if the function f : U ( W , ζ , ) is differentiable in u 0 U , it is therefore continuous in the point u 0 .
The Wright function [14,15] is one of the special functions defined by the series representation, valid in the whole complex plane
W α , β ( z ) = n = 0 z n n ! Γ ( n α + β ) ,
where α > 1 and β C . In this paper, we define a distribution distance mapping (DDM) based on Wright functions.
Consider the DDM-valued W α , β : [ 0 , T ] S + ( α , β J ), a random control mapping, which is defined as follows:
( W α , β ) τ s = 0 , if τ R J , n = 0 ( s τ ) n n ! Γ ( n α + β ) , if τ J .
Then, we have
  • It is left continuous and always increasing for positive values, it means that, for τ > 0 , ( W α , β ) τ s > 0
  • lim τ ( W α , β ) τ s = 1
  • For τ 0 , we have ( W α , β ) τ s = 0 ,
And the following conditions also apply to the DDM-valued Wright function
(MN1)
We show that ( W α , β ) τ s = 1 iff s = 0 .
( W α , β ) τ s = n = 0 ( s τ ) n n ! Γ ( n α + β ) = 1 + n = 1 ( s τ ) n n ! Γ ( n α + β ) = 1 n = 1 ( s τ ) n n ! Γ ( n α + β ) = 0 s = 0 s = 0
and vice versa with s = 0 .
(MN2)
( W α , β ) τ α s = n = 0 ( α s τ ) n n ! Γ ( n α + β ) = n = 0 ( | α | s τ ) n n ! Γ ( n α + β ) = n = 0 ( s τ | α | ) n n ! Γ ( n α + β ) = ( W α , β ) τ | α | s
(MN3)
We assume that
n = 0 ( s τ ) n n ! Γ ( n α + β ) n = 0 ( s ς ) n n ! Γ ( n α + β ) .
Thus,
s τ s ς s τ s ς ς s τ s ς s τ + s s + s s + s s ( ς τ ) s + s ς + τ τ s s + s s τ s + s τ + ς s τ s + s τ + ς n = 0 ( s + s τ + ς ) n n ! Γ ( n α + β ) n = 0 ( s τ ) n n ! Γ ( n α + β ) .
Now, we conclude that
( W α , β ) τ + ς s + s ( W α , β ) τ s M ( W α , β ) ς s .
Let DDM-valued ψ : [ 0 , T ] S + be a random control mapping. We say that (3) is random HUR stable, when, for a differentiable mapping u ( s ) , satisfying
ζ τ 0 D s ϱ u ( s ) α ( s , u ( s ) ) 0 s K ( s , σ , u ( σ ) ) d σ ψ τ s ,
s [ 0 , T ] , there is a solution v ( s ) of Equation (3) such that, for some r > 0 ,
ζ τ u ( s ) v ( s ) ψ τ r s .
If we replace the control function ψ with the DDM-valued Wright function ( W α , β ) , we say that (3) is random Wright stable.

3. Riemann–Liouville Fractional Volterra Integro-Differential Equation

In 2008, Mihet and Radu [16,17] introduced a new method to investigate random stability in MB-spaces and then some authors used this method to get stability results for new equations [18,19,20,21,22,23,24,25,26,27,28,29,30]. Here, we use the Mihet and Radu method and Theorem 1 to investigate random Wright stability of (3) and improve recent results [31]; we can suggest [32,33,34] for more details. We set
B : = { u : [ 0 , T ] W , u is differentiable }
and consider δ from B × B to J by
δ ( u , v ) = inf μ J : ζ τ 0 D s ϱ u ( s ) 0 D s ϱ v ( s ) ζ τ u ( s ) v ( s ) ψ τ μ s , u , v B , s [ 0 , T ] , τ J .
Theorem 2.
J -valued metric space ( B , δ ) is complete.
Proof. 
Letting δ ( u , v ) = 0 , we have
inf μ J : ζ τ 0 D s ϱ u ( s ) 0 D s ϱ v ( s ) ζ τ u ( s ) v ( s ) ψ τ μ s , u , v B , s [ 0 , T ] , τ J = 0
and so
ζ τ 0 D s ϱ u ( s ) 0 D s ϱ v ( s ) ζ τ u ( s ) v ( s ) ψ τ μ s ,
for all μ J . Tend μ to zero in the above inequality, we get
ζ τ 0 D s ϱ u ( s ) 0 D s ϱ v ( s ) ζ τ u ( s ) v ( s ) = τ 0
and so
ζ τ u ( s ) v ( s ) = τ 0 ;
thus, u ( s ) = v ( s ) for every s [ 0 , T ] , and vice versa. In addition, we have δ ( u , v ) = δ ( v , u ) for every u , v B . Now, let δ ( u , v ) = e 1 J and δ ( v , w ) = e 2 J . Thus, we have
ζ τ 0 D s ϱ u ( s ) 0 D s ϱ v ( s ) ζ τ u ( s ) v ( s ) ψ τ e 1 s ,
and
ζ τ 0 D s ϱ v ( s ) 0 D s ϱ w ( s ) ζ τ v ( s ) w ( s ) ψ τ e 2 s ,
for every τ J . Thus, we have
ζ ( e 1 + e 2 ) τ 0 D s ϱ u ( s ) 0 D s ϱ w ( s ) ζ ( e 1 + e 2 ) τ u ( s ) w ( s ) [ ζ e 1 τ 0 D s ϱ u ( s ) 0 D s ϱ v ( s ) ζ e 2 τ 0 D s ϱ v ( s ) 0 D s ϱ w ( s ) ] [ ζ e 1 τ u ( s ) v ( s ) ζ e 2 τ v ( s ) w ( s ) ] ψ τ s ψ τ s ψ τ s ,
and so δ ( u , w ) e 1 + e 2 . Thus, δ ( u , w ) δ ( u , v ) + δ ( v , w ) . To show completeness of ( B , δ ) , we consider the Cauchy sequence { u k } k in ( B , δ ) . Suppose that s [ 0 , T ] is fixed. Assume that ω J and λ I are arbitrary and consider τ J such that θ τ s > 1 λ . For e τ < ω , choose k 0 such that
δ ( u k u ) < e k , k 0 .
Consequently,
ζ ω 0 D s ϱ u k ( s ) 0 D s ϱ u ( s ) ζ ω u k ( s ) u ( s ) ζ e τ 0 D s ϱ u k ( s ) 0 D s ϱ u ( s ) ζ e τ u k ( s ) u ( s ) ψ τ s > 1 λ .
Hence, ζ ω 0 D s ϱ u k ( s ) 0 D s ϱ u ( s ) > 1 λ and ζ ω u k ( s ) u ( s ) > 1 λ and i.e., the sequence both { u k ( s ) } k and { 0 D s ϱ u k ( s ) } k are Cauchy in complete space ( W , ζ , ) on compact set [ 0 , T ] , so they are uniformly convergent to the mapping u : [ 0 , T ] W and 0 D s ϱ u , respectively. Now, if we apply the uniform convergence, we conclude that u B and is differentiable; thus, ( B , δ ) is complete. □
Theorem 3.
Let ( W , ζ , ) be an MB-space and 1 , 2 , 3 , 4 and T be a positive constant such that { 1 , 2 3 , 1 4 , 2 3 4 } < 0.5 . Assume that the continuous mappings α : [ 0 , T ] × W W , K : [ 0 , T ] × [ 0 , T ] × W W with DDM-valued ψ : [ 0 , T ] S + satisfying
ζ τ α ( s , u ( s ) ) α ( s , v ( s ) ) ζ τ 1 u ( s ) v ( s ) ,
ζ τ K ( s , σ , u ( σ ) ) K ( s , σ , v ( σ ) ) ζ τ 2 u ( σ ) v ( σ ) , σ s ,
inf ρ [ 0 , T ] ψ τ ρ ψ T τ 3 s ,
and
ζ τ u ( s ) ψ τ s , implies that ζ τ 0 I s ϱ u ( σ ) d σ ψ τ 4 s ,
for every s [ 0 , T ] , u , v : [ 0 , T ] W and τ J . Let w : [ 0 , T ] W be a differentiable function satisfying
ζ τ 0 D s ϱ w ( s ) α ( s , w ( s ) ) 0 s K ( s , σ , w ( σ ) ) d σ ψ τ s ,
for every s [ 0 , T ] and τ J . Thus, there is a unique differentiable function w 0 : [ 0 , T ] W such that
0 D s ϱ w 0 ( s ) = α ( s , w 0 ( s ) ) + 0 s K ( s , σ , w 0 ( σ ) ) d σ ,
and
ζ τ 0 D s ϱ w ( s ) 0 D s ϱ w 0 ( s ) ζ τ w ( s ) w 0 ( s ) ψ ( 1 2 { 1 , 2 3 , 1 4 , 2 3 4 } ) τ { 1 , 4 } s ,
for every s [ 0 , T ] and τ J .
Proof. 
We set
B : = { u : [ 0 , T ] W , u is differentiable }
and define
δ ( u , v ) = inf μ J : ζ τ 0 D s ϱ u ( s ) 0 D s ϱ v ( s ) ζ τ u ( s ) v ( s ) ψ τ μ s , u , v B , s [ 0 , T ] , τ J .
Theorem 2 guarantees that ( B , δ ) is a complete J -valued metric space.
Consider the self-map Υ on B by
Υ ( u ( s ) ) = 0 I s ϱ ( α ( σ , u ( σ ) ) ) + 0 I s ϱ 0 σ K ( σ , ς , u ( ς ) ) d ς ,
where ϱ I , α : [ 0 , T ] × W W , K : [ 0 , T ] × [ 0 , T ] × W W . We prove that Υ is a strictly contractive mapping. Let u , v B , μ J and δ ( u , v ) < ν ; thus, we have
ζ ν τ 0 D s ϱ u ( s ) 0 D s ϱ v ( s ) ζ ν τ u ( s ) v ( s ) ψ τ s , u , v B , s [ 0 , T ] , τ J .
Using properties (MN2) and (MN3) of Definition 2 and (11), imply that
ζ 2 ν τ 0 D s ϱ Υ ( u ( s ) ) 0 D s ϱ Υ ( v ( s ) ) ζ 2 ν τ Υ ( u ( s ) ) Υ ( v ( s ) ) = ζ 2 ν τ [ α ( s , u ( s ) ) α ( s , v ( s ) ) ] + 0 s [ K ( s , σ , u ( σ ) ) K ( s , σ , v ( σ ) ) ] d σ ζ 2 ν τ 0 I s ϱ ( α ( s , u ( s ) ) α ( s , v ( s ) ) ) + 0 I s ϱ 0 s [ K ( s , σ , u ( σ ) ) K ( s , σ , v ( σ ) ) ] d σ ζ ν τ α ( s , u ( s ) ) α ( s , v ( s ) ) ζ ν τ 0 s [ K ( s , σ , u ( σ ) ) K ( s , σ , v ( σ ) ) ] d σ ζ ν τ 0 I s ϱ ( α ( σ , u ( σ ) ) α ( σ , v ( σ ) ) ) ζ ν τ 0 I s ϱ 0 σ [ K ( σ , ς , u ( ς ) ) K ( σ , ς , v ( ς ) ) ] d ς .
Now, we connect (12) and control function ψ . Assume that 0 = ϖ 1 < ϖ 2 < < ϖ k = s , Δ ϖ i = ϖ i ϖ i 1 = s k , i = 1 , 2 , , k and Δ ϖ = 1 i k Δ ϖ i .
Step 1. From (35), we have
ζ ν τ α ( s , u ( s ) ) α ( s , v ( s ) ) ζ ν τ 1 u ( s ) v ( s ) ψ τ 1 s .
Step 2. Using (MN2) and (MN3) of Definition 2, continuity property of DDM-valued ζ , (36), and (37), we get
ζ ν τ 0 s [ K ( s , σ , u ( σ ) ) K ( s , σ , v ( σ ) ) ] d σ = ζ ν τ lim Δ ϖ 0 j = 1 k [ K ( s , ϖ j , u ( ϖ j ) ) K ( s , ϖ j , v ( ϖ j ) ) ] Δ ϖ i = lim Δ ϖ 0 ζ ν τ j = 1 k [ K ( s , ϖ j , u ( ϖ j ) ) K ( s , ϖ j , v ( ϖ j ) ) ] Δ ϖ i lim Δ ϖ 0 j = 1 k ζ ν τ k [ K ( s , ϖ j , u ( ϖ j ) ) K ( s , ϖ j , v ( ϖ j ) ) ] Δ ϖ i inf ρ [ 0 , T ] ζ k ν τ k T K ( s , ρ , u ( ρ ) ) K ( s , ρ , v ( ρ ) ) inf ρ [ 0 , T ] ζ k ν τ k T 2 u ( ρ ) v ( ρ ) inf ρ [ 0 , T ] ψ τ 2 T ρ ψ τ 2 3 s .
Step 3. Using (38) and (13), we get
ζ ν τ 0 I s ϱ ( α ( σ , u ( σ ) ) α ( σ , v ( σ ) ) ) ψ τ 1 4 s .
Step 4. Using (38) and (14), we get
ζ ν τ 0 I s ϱ 0 σ [ K ( σ , ς , u ( ς ) ) K ( σ , ς , v ( ς ) ) ] d ς ψ τ 2 3 4 s .
Form (12)–(16), we have
ζ 2 ν τ 0 D s ϱ Υ ( u ( s ) ) 0 D s ϱ Υ ( v ( s ) ) ζ 2 ν τ Υ ( u ( s ) ) Υ ( v ( s ) ) ψ τ 1 s ψ τ 2 3 s ψ τ 1 4 s ψ τ 2 3 4 s ψ τ { 1 , 2 3 , 1 4 , 2 3 4 } s
and so
ζ ν τ 0 D s ϱ Υ ( u ( s ) ) 0 D s ϱ Υ ( v ( s ) ) ζ ν τ Υ ( u ( s ) ) Υ ( v ( s ) ) ψ τ 2 { 1 , 2 3 , 1 4 , 2 3 4 } s ,
which implies that
δ ( Υ ( u ) , Υ ( v ) ) 2 { 1 , 2 3 , 1 4 , 2 3 4 } ν ,
and so
δ ( Υ ( u ) , Υ ( v ) ) 2 { 1 , 2 3 , 1 4 , 2 3 4 } δ ( u , v ) .
Consequently, Υ is a strictly contractive mapping with Lipschitz constant
2 { 1 , 2 3 , 1 4 , 2 3 4 } .
Letting w B , we show that δ ( Υ ( w ) , w ) < . Using (38) and (39), we get
ζ τ 0 D s ϱ [ Υ ( w ( s ) ) w ( s ) ] ζ τ Υ ( w ( s ) ) w ( s ) = ζ τ α ( s , w ( s ) ) + 0 s K ( s , σ , w ( σ ) ) d σ 0 D s ϱ w ( s ) ζ τ 0 I s ϱ ( α ( σ , w ( σ ) ) ) + 0 I s ϱ 0 σ K ( σ , ς , w ( ς ) ) d ς 0 I s ϱ 0 D σ ϱ w ( σ ) = ζ τ α ( s , w ( s ) ) + 0 s K ( s , σ , w ( σ ) ) d σ 0 D s ϱ w ( s ) ζ τ 0 I s ϱ ( α ( σ , w ( σ ) ) ) + 0 σ K ( σ , ς , w ( ς ) ) d ς 0 D σ ϱ w ( σ ) ψ τ s ψ τ 4 s ψ τ { 1 , 4 } s ,
for every τ J . Then, we have δ ( Υ ( w ) , w ) < { 1 , 4 } < .
By Theorem 1, there is w 0 in B such that
(1) w 0 is a fixed point of Υ , i.e.,
w 0 ( s ) = Υ ( w 0 ( s ) ) = 0 I s ϱ ( α ( σ , w 0 ( σ ) ) ) + 0 I s ϱ 0 σ K ( σ , ς , w 0 ( ς ) ) d ς ,
which is unique in
B = { u B : δ ( Υ ( w ) , u ) < } .
Taking 0 D s ϱ from (22), we get
0 D s ϱ w 0 ( s ) = α ( s , w 0 ( s ) ) + 0 s K ( s , σ , w 0 ( σ ) ) d σ ,
where ϱ I , α : [ 0 , T ] × W W , K : [ 0 , T ] × [ 0 , T ] × W W .
(2) δ ( Υ k ( w ) , w 0 ) 0 as n ;
(3) δ ( w , w 0 ) 1 1 2 { 1 , 2 3 , 1 4 , 2 3 4 } δ ( Υ ( w ) , w ) { 1 , 4 } 1 2 { 1 , 2 3 , 1 4 , 2 3 4 } , which implies that
ζ τ 0 D s ϱ w ( s ) 0 D s ϱ w 0 ( s ) ζ τ w ( s ) w 0 ( s ) ψ ( 1 2 { 1 , 2 3 , 1 4 , 2 3 4 } ) τ { 1 , 4 } s ,
for every s [ 0 , T ] and τ J .
Now, we prove that B = B . Considering z 0 in B satisfying (40) and (41), we show that z 0 = w 0 and z 0 B . From (40), we get
0 D s ϱ z 0 ( s ) = α ( s , z 0 ( s ) ) + 0 s K ( s , σ , z 0 ( σ ) ) d σ ,
and so
z 0 ( s ) = 0 I s ϱ α ( σ , z 0 ( σ ) ) + 0 I s ϱ 0 σ K ( σ , ς , z 0 ( ς ) ) d ς = Υ ( z 0 ( s ) ) ,
where ϱ I , α : [ 0 , T ] × W W , K : [ 0 , T ] × [ 0 , T ] × W W .
Now, we show that
z 0 { u B : δ ( Υ ( w ) , u ) < } ,
i.e., δ ( Υ ( w ) , z 0 ) < . We set j = 1 2 { 1 , 2 3 , 1 4 , 2 3 4 } { 1 , 4 } , from (41), we get
ζ τ 0 D s ϱ w ( s ) 0 D s ϱ z 0 ( s ) ζ τ w ( s ) z 0 ( s ) ψ j τ s ,
for every s [ 0 , T ] and τ J .
Form (35) and (27), we get
ζ τ α ( s , w ( s ) ) α ( s , z 0 ( s ) ) ζ τ 1 w ( s ) z 0 ( s ) ψ j τ 1 s ;
in addition, from (36) and (27), we get
ζ τ K ( s , σ , w ( σ ) ) K ( s , σ , z 0 ( σ ) ) ζ τ 2 w ( σ ) z 0 ( σ ) ψ j τ 2 s ,
for every s [ 0 , T ] , σ s and τ J . By step 2 and (29), we get
ζ τ 0 s [ K ( s , σ , w ( σ ) ) K ( s , σ , z 0 ( σ ) ) ] d σ ψ τ 2 3 s ψ j τ 2 3 s .
Using triangular inequality (MN3), (28) and (30), we get
ζ 2 τ α ( s , w ( s ) ) α ( s , z 0 ( s ) ) + 0 s [ K ( s , σ , w ( σ ) ) K ( s , σ , z 0 ( σ ) ) ] d σ ζ τ α ( s , w ( s ) ) α ( s , z 0 ( s ) ) ζ τ 0 s [ K ( s , σ , w ( σ ) ) K ( s , σ , z 0 ( σ ) ) ] d σ ψ j τ 1 s ψ j τ 2 3 s
ψ j τ { 1 , 2 3 } s ,
and so
ζ τ α ( s , w ( s ) ) α ( s , z 0 ( s ) ) + 0 s [ K ( s , σ , w ( σ ) ) K ( s , σ , z 0 ( σ ) ) ] d σ ψ j τ 2 { 1 , 2 3 } s .
We apply (38) and get
ζ τ 0 I s ϱ [ α ( σ , w ( σ ) ) α ( σ , z 0 ( σ ) ) + 0 I s ϱ 0 σ [ K ( σ , ς , w ( ς ) ) K ( σ , ς , z 0 ( ς ) ) ] d ς ψ j τ 2 4 { 1 , 2 3 } s ,
for every s [ 0 , T ] , σ s and τ J .
Using (32), (32), and (33), we get
ζ τ 0 D s ϱ [ Υ ( w ( s ) ) z 0 ( s ) ] ζ τ Υ ( w ( s ) ) z 0 ( s ) = ζ τ α ( s , w ( s ) ) α ( s , z 0 ( s ) ) + 0 s [ K ( s , σ , w ( σ ) ) K ( s , σ , z 0 ( σ ) ) ] d σ ζ τ 0 I s ϱ [ α ( σ , w ( σ ) ) α ( σ , z 0 ( σ ) ) + 0 I s ϱ 0 σ [ K ( σ , ς , w ( ς ) ) K ( σ , ς , z 0 ( ς ) ) ] d ς ψ j τ 2 { 1 , 2 3 } s ψ j τ 2 4 { 1 , 2 3 } s ψ j τ 2 { 1 , 2 3 } ( 1 + 4 ) s ,
which implies that δ ( Υ ( w ) , z 0 ) 2 { 1 , 2 3 } ( 1 + 4 ) j < , hence z 0 B . □
Corollary 1.
Let ( R , ζ , ) be an MB-space and 1 , 2 , 3 , 4 and T be a positive constant such that { 1 , 2 3 , 1 4 , 2 3 4 } < 0.5 . Assume that the continuous mappings α : [ 0 , T ] × R R , K : [ 0 , T ] × [ 0 , T ] × R R with DDM-valued ψ : [ 0 , T ] S + satisfying
ζ τ α ( s , u ( s ) ) α ( s , v ( s ) ) ζ τ 1 u ( s ) v ( s ) ,
ζ τ K ( s , σ , u ( σ ) ) K ( s , σ , v ( σ ) ) ζ τ 2 u ( σ ) v ( σ ) , σ s ,
inf ρ [ 0 , T ] ψ τ ρ ( W α , β ) T τ 3 s ,
and
ζ τ u ( s ) ( W α , β ) τ s , implies that ζ τ 0 I s ϱ u ( σ ) d σ ( W α , β ) τ 4 s ,
for every s [ 0 , T ] , u , v : [ 0 , T ] R and τ J . Let w : [ 0 , T ] R be a differentiable function satisfying
ζ τ 0 D s ϱ w ( s ) α ( s , w ( s ) ) 0 s K ( s , σ , w ( σ ) ) d σ ( W α , β ) τ s ,
for every s [ 0 , T ] and τ J . Thus, there is a unique differentiable function w 0 : [ 0 , T ] R such that
0 D s ϱ w 0 ( s ) = α ( s , w 0 ( s ) ) + 0 s K ( s , σ , w 0 ( σ ) ) d σ ,
and
ζ τ 0 D s ϱ w ( s ) 0 D s ϱ w 0 ( s ) ζ τ w ( s ) w 0 ( s ) ( W α , β ) ( 1 2 { 1 , 2 3 , 1 4 , 2 3 4 } ) τ { 1 , 4 } s ,
for every s [ 0 , T ] and τ J .
Proof. 
Put ψ = ( W α , β ) and apply Theorem 3. □

4. Random Stability of Riemann–Liouville Fractional Volterra Integral Equation

Consider the Riemann–Liouville fractional Volterra integral equation
u ( s ) = α ( s , u ( s ) ) + 0 I s ϱ K ( s , σ , u ( σ ) ) ,
where ϱ I , α : [ 0 , T ] × W W , K : [ 0 , T ] × [ 0 , T ] × W W . In this section, we study random Wright stability of (42).
Theorem 4.
Suppose that ( W , ζ , ) is an MB-space and 1 , 2 , 3 , 4 and T are positive constants such that { 1 , 2 3 , 1 4 , 2 3 4 } < 0.5 . Assume the continuous mappings α : [ 0 , T ] × W W , K : [ 0 , T ] × [ 0 , T ] × W W with DDM-valued ψ : [ 0 , T ] S + satisfying (35)–(38).
Let w : [ 0 , T ] W be a differentiable function satisfying
ζ τ w ( s ) α ( s , w ( s ) ) 0 I s ϱ K ( s , σ , w ( σ ) ) ψ τ s ,
for every s [ 0 , T ] and τ J . Thus, we can find a unique differentiable function w 0 : [ 0 , T ] W such that
w 0 ( s ) = α ( s , w 0 ( s ) ) + 0 I s ϱ K ( s , σ , w 0 ( σ ) ) ,
and
ζ τ w ( s ) w 0 ( s ) ψ ( 1 2 { 1 , 2 3 , 1 4 , 2 3 4 } ) τ { 1 , 4 } s ,
for every s [ 0 , T ] and τ J .
Proof. 
We set
B : = { u : [ 0 , T ] W , u as differentiable }
and define
δ ( u , v ) = inf μ J : ζ τ u ( s ) v ( s ) ψ τ μ s , u , v B , s [ 0 , T ] , τ J .
Theorem 2 guarantees that ( B , δ ) is a complete J -valued metric space.
Consider Υ from B to B by
Υ ( u ( s ) ) = α ( σ , u ( σ ) ) + 0 I s ϱ 0 σ K ( σ , ς , u ( ς ) ) d ς ,
where ϱ I , α : [ 0 , T ] × W W , K : [ 0 , T ] × [ 0 , T ] × W W . We show that Υ is a strictly contractive mapping. Let u , v B , μ J and δ ( u , v ) < ν ; then, we have
ζ ν τ u ( s ) v ( s ) ψ τ s , u , v B , s [ 0 , T ] , τ J .
From (MN2) and (MN3) of Definition 2, (35)–(38) and (46), we get
ζ 2 ν τ Υ ( u ( s ) ) Υ ( v ( s ) ) = ζ 2 ν τ [ α ( s , u ( s ) ) α ( s , v ( s ) ) ] + 0 I s ϱ [ K ( s , σ , u ( σ ) ) K ( s , σ , v ( σ ) ) ] d σ ζ ν τ α ( s , u ( s ) ) α ( s , v ( s ) ) ζ ν τ 0 s [ K ( s , σ , u ( σ ) ) K ( s , σ , v ( σ ) ) ] d σ ψ τ 1 s ψ τ 2 4 s ψ τ { 1 , 2 4 } s ,
and so
ζ ν τ Υ ( u ( s ) ) Υ ( v ( s ) ) ψ τ 2 { 1 , 2 4 } s ,
for every s [ 0 , T ] and τ J . Consequently,
δ ( Υ ( u ) , Υ ( v ) ) 2 { 1 , 2 4 } ν ,
and so
δ ( Υ ( u ) , Υ ( v ) ) 2 { 1 , 2 4 } δ ( u , v ) .
Thus, Υ is strictly contractive with Lipschitz constant 2 { 1 , 2 4 } .
Letting w B , we prove that δ ( Υ ( w ) , w ) < . In addition, (53) implies that
ζ τ Υ ( w ( s ) ) w ( s ) = ζ τ α ( s , w ( s ) ) + 0 I s ϱ K ( s , σ , w ( σ ) ) d σ w ( s ) ψ τ s
for every τ J . Thus, δ ( Υ ( w ) , w ) < 1 .
By Theorem 1, there is w 0 in B such that
(1) w 0 is a fixed point of Υ , i.e.,
w 0 ( s ) = Υ ( w 0 ( s ) ) = α ( σ , w 0 ( σ ) ) + 0 I s ϱ K ( σ , ς , w 0 ( ς ) ) d ς ,
which is unique in the set
B = { u B : δ ( Υ ( w ) , u ) < } .
(2) δ ( Υ k ( w ) , w 0 ) 0 as n ;
(3) δ ( w , w 0 ) 1 1 2 { 1 , 2 4 } δ ( Υ ( w ) , w ) 1 1 2 { 1 , 2 4 } , which implies that
ζ τ w ( s ) w 0 ( s ) ψ ( 1 2 { 1 , 2 4 } ) τ s ,
for every s [ 0 , T ] and τ J . By the same method of the proof of Theorem 3, we can show that B = B . □
Corollary 2.
Suppose that ( R , ζ , ) is an MB-space and 1 , 2 , 3 , 4 and T are positive constants such that { 1 , 2 3 , 1 4 , 2 3 4 } < 0.5 . Assume that the continuous mappings α : [ 0 , T ] × R R , K : [ 0 , T ] × [ 0 , T ] × R R with DDM-valued ψ : [ 0 , T ] S + satisfying (35)–(38).
Let w : [ 0 , T ] R be a differentiable function satisfying
ζ τ w ( s ) α ( s , w ( s ) ) 0 I s ϱ K ( s , σ , w ( σ ) ) ( W α , β ) τ s ,
for every s [ 0 , T ] and τ J . Thus, we can find a unique differentiable function w 0 : [ 0 , T ] R such that
w 0 ( s ) = α ( s , w 0 ( s ) ) + 0 I s ϱ K ( s , σ , w 0 ( σ ) ) ,
and
ζ τ w ( s ) w 0 ( s ) ( W α , β ) ( 1 2 { 1 , 2 3 , 1 4 , 2 3 4 } ) τ { 1 , 4 } s ,
for every s [ 0 , T ] and τ J .
Proof. 
Put ψ = ( W α , β ) and apply Theorem 4. □

5. Applications, Random Wright Stability

Now, as applications, we study the concept of random Wright stability for some fractional equations.
Example 1.
Assume that ( R , ζ , ) is an MB-space. Consider u , v : [ 0 , T ] R and define α ( s , u ( s ) ) = 1 u ( s ) . Let θ W 1 , 1 ( J , R ) , in which W 1 , 1 is the Sobolev space, define K : [ 0 , T ] × [ 0 , T ] × R R as K ( s , σ , u ( σ ) ) = θ ( s σ ) u ( σ ) for every s [ 0 , T ] and σ s .
Consequently, we have
ζ τ α ( s , u ( s ) ) α ( s , v ( s ) ) = ζ τ 1 u ( s ) 1 v ( s ) = ζ τ 1 u ( s ) v ( s ) ,
ζ τ K ( s , σ , u ( σ ) ) K ( s , σ , v ( σ ) ) = ζ τ θ ( s σ ) [ u ( σ ) v ( σ ) ] ζ τ | θ ( s σ ) | u ( σ ) v ( σ ) ζ τ K u ( σ ) v ( σ ) ,
for some K J . Let DDM-valued W α , β : [ 0 , T ] S + satisfying (37) and (38).
Let w : [ 0 , T ] R be a differentiable function satisfying
ζ τ 0 D s ϱ w ( s ) 1 w ( s ) 0 s θ ( s σ ) w ( σ ) d σ ( W α , β ) τ s ,
for every s [ 0 , T ] and τ J . Now, Theorem 3 implies that, if { 1 , K 3 , 1 4 , K 3 4 } < 0.5 , there is a unique differentiable function w 0 : [ 0 , T ] R such that
0 D s ϱ w 0 ( s ) = 1 w 0 ( s ) + 0 s θ ( s σ ) w ( σ ) d σ ,
and
ζ τ 0 D s ϱ w ( s ) 0 D s ϱ w 0 ( s ) ζ τ w ( s ) w 0 ( s ) ( W α , β ) ( 1 2 { 1 , K 3 , 1 4 , K 3 4 } ) τ { 1 , 4 } s ,
for every s [ 0 , T ] and τ J .
Example 2.
Assume that ( R , ζ , ) is an MB-space. Consider u , v : [ 0 , T ] R and define α ( s , u ( s ) ) = 1 u ( s ) . Let θ W 1 , 1 ( J , R ) , in which W 1 , 1 is the Sobolev space, and define K : [ 0 , T ] × [ 0 , T ] × R R as K ( s , σ , u ( σ ) ) = θ ( s σ ) u ( σ ) for every s [ 0 , T ] and σ s satisfying (57).
Let DDM-valued W α , β : [ 0 , T ] S + satisfying (37) and (38).
Let w : [ 0 , T ] R be a differentiable function satisfying
ζ τ w ( s ) 1 w ( s ) 0 I s ϱ θ ( s σ ) w ( σ ) d σ ( W α , β ) τ s ,
for every s [ 0 , T ] and τ J . Now, Theorem 4 implies that, if { 1 , K 4 } < 0.5 , there is a unique differentiable function w 0 : [ 0 , T ] R such that
w 0 ( s ) = 1 w 0 ( s ) + 0 I s ϱ θ ( s σ ) w ( σ ) d σ ,
and
ζ τ w ( s ) w 0 ( s ) ( W α , β ) ( 1 2 { 1 , K 4 } ) τ { 1 , 4 } s ,
for every s [ 0 , T ] and τ J .

6. Conclusions

We considered a class of random control functions. By a method from Mihet and Radu emanating from the alternative fixed point theorem and random controllers, we stabilized some fractional equations in MB-spaces in the sense of Wright.

Author Contributions

Data curation, R.S.; Formal analysis, R.M.; Methodology, R.S.; Project administration, R.M. and R.S.; Resources, R.S. Both authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

The authors are thankful for the area editor and the reviewers for giving valuable comments and suggestions. The work of the first author in this paper was supported by grant APVV-18-0052.

Conflicts of Interest

The authors declare no potential conflict of interests.

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Mesiar, R.; Saadati, R. Existence–Uniqueness and Wright Stability Results of the Riemann–Liouville Fractional Equations by Random Controllers in MB-Spaces. Mathematics 2021, 9, 1602. https://doi.org/10.3390/math9141602

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Mesiar R, Saadati R. Existence–Uniqueness and Wright Stability Results of the Riemann–Liouville Fractional Equations by Random Controllers in MB-Spaces. Mathematics. 2021; 9(14):1602. https://doi.org/10.3390/math9141602

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Mesiar, Radko, and Reza Saadati. 2021. "Existence–Uniqueness and Wright Stability Results of the Riemann–Liouville Fractional Equations by Random Controllers in MB-Spaces" Mathematics 9, no. 14: 1602. https://doi.org/10.3390/math9141602

APA Style

Mesiar, R., & Saadati, R. (2021). Existence–Uniqueness and Wright Stability Results of the Riemann–Liouville Fractional Equations by Random Controllers in MB-Spaces. Mathematics, 9(14), 1602. https://doi.org/10.3390/math9141602

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