Next Article in Journal
An Option Game Model of Supplier R&D Co-Competition under Uncertainty
Previous Article in Journal
Symmetry in a Fractional-Order Multi-Scroll Chaotic System Using the Extended Caputo Operator
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Ulam–Hyers Stability of Pantograph Hadamard Fractional Stochastic Differential Equations

1
Department of Electronics Engineering, Applied College, University of Ha’il, Ha’il 2440, Saudi Arabia
2
Control & Energies Management (CEM-Lab), National Engineering School of Sfax, University of Sfax, Sfax 3038, Tunisia
3
Department of Electrical Engineering, College of Engineering, University of Ha’il, Ha’il 2440, Saudi Arabia
4
Department of Mathematics, Faculty of Sciences of Sfax, University of Sfax, Sfax 1171, Tunisia
*
Author to whom correspondence should be addressed.
Symmetry 2023, 15(8), 1583; https://doi.org/10.3390/sym15081583
Submission received: 1 July 2023 / Revised: 9 August 2023 / Accepted: 10 August 2023 / Published: 13 August 2023

Abstract

:
In this article, we investigate the existence and uniqueness Theorem of Pantograph Hadamard fractional stochastic differential equations (PHFSDE) using the fixed-point Theorem of Banach (BFPT). According to the generalized Gronwall inequalities, we prove the stability in the sense of Ulam–Hyers (UHS) of PHFSDE. We give some examples to show the effectiveness of our results.

1. Introduction

The origin of fractional derivation theory dates back to the end of the 17th century; the century when Newton and Leibniz developed the foundations of differential and integral calculus. The first question that led to the fractional calculus was: can the derivative with an integer order d n f d x n be extended to a fractional order derivative? The answer to the question was yes.
The first conference on the subject of the fractional derivative was organized in June 1974 by B.Ross, entitled “First conference on fractional calculus And its application” at the University of New Haven. The first book published by K.B.Oldham and J. Spanier (see [1]) was devoted to the fractional calculus in 1974 after a collaborative work begun in 1968. The fractional differential equation has been the subject of significant investigation with growing interest. Indeed, many studies can be found in various fields of science and engineering (see [2,3,4,5,6,7,8,9,10,11]). The Hadamard fractional derivatives, whose kernels are defined in terms of logarithmic functions, are an important class of fractional derivative and serve as a natural choice for modeling ultraslow diffusion processes and, thus, attract wide attention (see [2,4,5,11,12,13,14,15,16]).
Dynamic systems may not only depend on present states but also the past states. Stochastic differential equations with delay (SDED) and stochastic pantograph differential equations (SPDEs) are often used to model these phenomena, whose systems depend on the past state x ( t θ ) and x ( p t ) , where θ > 0 and 0 < p < 1 , respectively. The first paper in this axis appears in [17]; in particular, the SPDEs have much more real-world applications in biology, economy, the sciences, engineering, control and electrodynamics (see [18,19,20,21,22]).
The stability theory of the solution is the most popular topic in this field of stochastic systems and control. Many researchers have investigated a special theory, the Ulam–Hyers stability concept and its applications. We refer the reader to [12,23,24,25,26,27,28,29] and references therein.
To our knowledge, there are no existing works on the stability of PHFSDE; our work is an extension of [12] to the PHFSDE. They are different from the previous results in the literature, and the main highlights of this work are:
(1)
Study the existence and uniqueness Theorem of PHFSDE by using the BFPT.
(2)
Prove the UHS of PHFSDE by employing the stochastic calculus techniques and the generalized Gronwall inequalities.
(3)
Different from the results in [12], due to the influence of the pantograph term in the system, which makes our results more interesting.
The style of this article is organized as follows: Section 2 is devoted to exhibit some fundamental results and definitions of the fractional analysis. In Section 3, we present the existence and uniqueness Theorem EUT and the UHS of PHFSDE. In Section 4, we illustrate our results by examples.

2. Preliminaries

Let Φ > 1 . Denote by { Ω , F , ( F ζ ) 1 ζ Φ , P } the complete probability space and W ( ζ ) is the standard Brownian motion.
Let X ζ = L 2 ( Ω , F ζ , P ) (for each 1 ζ Φ ) be the space of all F ζ -measurable, integrable and mean square functions o = ( o 1 , . . . , o k ) T : Ω R k with
| | o | | m s = l = 1 k E | o l | 2 = E | | o | | 2 .
Definition 1
([7]). The Hadamard fractional integral of order ϑ > 0 for a locally integrable function g : [ 1 , ) R is given by
I ϑ g ( ξ ) = 1 Γ ( ϑ ) 1 ξ log ξ μ ϑ 1 g ( μ ) μ d μ .
Definition 2
([7]). The Caputo–Hadamard derivative of fractional order ϑ ( 0 , 1 ) for a locally integrable function g : [ 1 , ) R is given by
C H D 1 ϑ g ( ξ ) = 1 Γ ( 1 ϑ ) ξ d d ξ 1 ξ log ξ μ ϑ g ( μ ) g ( 1 ) μ d μ .
Definition 3
([7]). The Mittag-Leffler function E ξ , ζ : C C is given by
E ξ , ζ ( y ) = m = 0 + y m Γ ( m ξ + ζ ) ,
where ξ > 0 , ζ > 0 , y C .
Consider the following CPHFSDE:
C H D 1 π δ ( ζ ) = h 1 ζ , δ ( ζ ) , δ ( ρ ζ ) + h 2 ζ , δ ( ζ ) , δ ( ρ ζ ) d W ( ζ ) d ζ ,
with, δ ( ζ ) = φ ( ζ ) , for ζ [ ρ , 1 ] , is the initial condition, ρ ( 0 , 1 ) , π ( 1 2 , 1 ) , h 1 : [ 1 , Φ ] × R k × R k R k and h 2 : [ 1 , Φ ] × R k × R k R k are measurable functions. Set the following hypothesis:
H 1 : There is L > 0 such that
| | h 1 ( ζ , δ 1 , δ ˜ 1 ) h 2 ( ζ , δ 2 , δ ˜ 2 ) | | + | | h 1 ( ζ , δ 1 , δ ˜ 1 ) h 2 ( ζ , δ 2 , δ ˜ 2 ) | | L | | δ 1 δ 2 | | + | | δ ˜ 1 δ ˜ 2 | | ,
for all ( ζ , δ 1 , δ 2 , δ ˜ 1 , δ ˜ 2 ) [ 1 , Φ ] × R k × R k × R k × R k .
H 2 : h 1 ( · , 0 , 0 ) and h 2 ( · , 0 , 0 ) verifies
| | h 2 ( · , 0 , 0 ) | | = ess sup l [ 1 , Φ ] | | h 2 ( l , 0 , 0 ) | | < ,
1 Φ | | h 1 ( l , 0 , 0 ) | | 2 d l < .

3. Main Results

Denote by H 2 ( [ ρ , Φ ] ) the set of all processes δ which are measurable and F Φ -adapted, where F Φ = { F l } l [ ρ , Φ ] , such that
| | δ | | H 2 = sup ρ l Φ | | δ ( l ) | | m s < .
It is not hard to prove that ( H 2 ( [ ρ , Φ ] ) , | | · | | H 2 ) is a Banach space. For φ H 2 ( [ ρ , 1 ] ) , let R φ : H 2 ( [ ρ , Φ ] ) H 2 ( [ ρ , Φ ] ) be the operator defined by:
R φ B ( ζ ) = φ ( 1 ) + 1 Γ ( π ) 1 ζ ln ζ s π 1 h 1 ( s , B ( s ) , B ( ρ s ) ) s d s + 1 ζ ln ζ s π 1 h 2 ( s , B ( s ) , B ( ρ s ) ) s d W ( s )
for ζ [ 1 , Φ ] and R φ B ( ζ ) = φ ( ζ ) for ζ [ ρ , 1 ] .
Proposition 1.
For each φ H 2 ( [ ρ , 1 ] ) , R φ is well-defined.
Proof. 
Let B H 2 ( [ ρ , Φ ] ) . We have
| | R φ B ( ζ ) | | m s 2 3 | | φ ( 1 ) | | m s 2 + 3 Γ ( π ) 2 E 1 ζ ln ζ s π 1 h 1 ( s , B ( s ) , B ( ρ s ) ) s d s 2 + 3 Γ ( π ) 2 E 1 ζ ln ζ s π 1 h 2 ( s , B ( s ) , B ( ρ s ) ) s d W ( s ) 2 .
Using H 1 , we get
h 1 ( l , B ( l ) , B ( ρ l ) ) 2 2 L 2 B ( l ) + B ( ρ l ) 2 + 2 h 1 ( l , 0 , 0 ) 2 .
Then,
E 1 ζ h 1 ( l , B ( l ) , B ( ρ l ) ) 2 d l 4 L 2 Φ 1 sup l [ 1 , Φ ] E B ( l ) 2 + B ( ρ l ) 2 + 2 1 Φ h 1 ( l , 0 , 0 ) 2 d l 8 L 2 Φ 1 sup l [ ρ , Φ ] E B ( l ) 2 + 2 1 Φ h 1 ( l , 0 , 0 ) 2 d l .
By employing the Cauchy–Schwartz inequality (see [30]), we have
E 1 ζ ln ζ s π 1 h 1 ( s , B ( s ) , B ( ρ s ) ) s d s 2
1 ζ 1 s ln ζ s 2 π 2 d s E 1 ζ h 1 ( s , B ( s ) , B ( ρ s ) ) 2 d s 1 2 π 1 ln Φ 2 π 1 [ 8 L 2 Φ 1 sup l [ ρ , Φ ] E B ( l ) 2 + 2 1 Φ h 1 ( l , 0 , 0 ) 2 d l ] .
By Itô’s isometry formula (see [30]), we get
E 1 ζ ln ζ s π 1 h 2 ( s , B ( s ) , B ( ρ s ) ) s d W ( s ) 2 = E 1 ζ ln ζ s 2 π 2 h 2 ( s , B ( s ) , B ( ρ s ) ) s 2 d s .
Using H 1 , we get
h 2 ( s , B ( s ) , B ( ρ s ) ) 2 4 L 2 B ( s ) 2 + B ( ρ s ) 2 + 2 h 2 ( · , 0 , 0 ) 2 .
Therefore,
E 1 ζ ln ζ s π 1 h 2 ( s , B ( s ) , B ( ρ s ) ) s d W ( s ) 2
E 1 ζ ln ζ s 2 π 2 4 L 2 B ( s ) 2 + B ( ρ s ) 2 + 2 h 2 ( · , 0 , 0 ) 2 d s 8 L 2 2 π 1 ln Φ 2 π 1 T H 2 2 + 2 2 π 1 ln Φ 2 π 1 h 2 ( · , 0 ) 2 ,
and the proof is completed. □
Theorem 1.
Assume that H 1 H 2 hold. Then, Equation (1) has a unique global solution.
Proof. 
Let ν with ν 2 π 1 > 8 L 2 Φ Γ ( 2 π 1 ) Γ ( π ) 2 . Let | | · | | ν be the norm on H 2 ( [ ρ , Φ ] ) defined by
| | δ | | ν = sup ζ [ ρ , Φ ] E δ ( ζ ) 2 k ( ζ ) , δ H 2 ( [ ρ , Φ ] ) ,
with k ( ζ ) = ζ ν for ζ [ ρ , Φ ] . It is not hard to show that | | · | | H 2 and | | · | | ν are equivalent. Hence, ( H 2 ( [ ρ , Φ ] ) , | | · | | ν ) is a Banach space.
Let δ 1 , δ 2 H 2 ( [ ρ , Φ ] ) , we have ζ [ ρ , 1 ] , R φ δ 1 ( ζ ) R φ δ 2 ( ζ ) = 0 .
For ζ [ 1 , Φ ] , we get
E R φ δ 1 ( ζ ) R φ δ 2 ( ζ ) 2
2 Γ ( π ) 2 E 1 ζ ln ζ s π 1 h 1 ( s , δ 1 ( s ) , δ 1 ( ρ s ) ) h 1 ( s , δ 2 ( s ) , δ 2 ( ρ s ) ) s d s 2 + 2 Γ ( π ) 2 E 1 ζ ln ζ s π 1 h 2 ( s , δ 1 ( s ) , δ 1 ( ρ s ) ) h 2 ( s , δ 2 ( s ) , δ 2 ( ρ s ) ) s d W ( s ) 2 .
By the Cauchy–Schwartz inequality (see [30]), we get
E 1 ζ ln ζ s π 1 h 1 ( l , δ 1 ( l ) , δ 1 ( ρ l ) ) h 1 ( l , δ 2 ( l ) , δ 2 ( ρ l ) ) s d l 2
2 L 2 ( Φ 1 ) 1 ζ ln ζ s 2 π 2 E δ 1 ( s ) δ 2 ( s ) 2 + δ 1 ( ρ s ) δ 2 ( ρ s ) 2 d s .
Using the Itô isometry formula (see [30]), we get
E 1 ζ ln ζ s π 1 h 2 ( s , δ 1 ( s ) , δ 1 ( ρ s ) ) h 2 ( s , δ 2 ( s ) , δ 2 ( ρ s ) ) s d W ( s ) 2
= E 1 ζ 1 s 2 ln ζ s 2 π 2 h 2 ( s , δ 1 ( s ) , δ 1 ( ρ s ) ) h 2 ( s , δ 2 ( s ) , δ 2 ( ρ s ) ) 2 d s 2 L 2 1 ζ 1 s ln ζ s 2 π 2 E δ 1 ( s ) δ 2 ( s ) 2 + E δ 1 ( ρ s ) δ 2 ( ρ s ) 2 d s .
Then,
E R φ δ 1 ( ζ ) R φ δ 2 ( ζ ) 2 c 1 ζ 1 s ln ζ s 2 π 2 E δ 1 ( s ) δ 2 ( s ) 2 + E δ 1 ( ρ s ) δ 2 ( ρ s ) 2 d s ,
where c = 4 L 2 Φ Γ ( π ) 2 .
Then,
E R φ δ 1 ( ζ ) R φ δ 2 ( ζ ) 2 ζ ν c ζ ν 1 ζ 1 s ln ζ s 2 π 2 [ k ( s ) E δ 1 ( s ) δ 2 ( s ) 2 k ( s ) + k ( ρ s ) E δ 1 ( ρ s ) δ 2 ( ρ s ) 2 k ( ρ s ) ] d s c ζ ν δ 1 δ 2 ν 2 1 ζ 1 s ln ζ s 2 π 2 k ( s ) + k ( ρ s ) d s 2 c ζ ν δ 1 δ 2 ν 2 0 ν ln ζ t ν π 1 ζ ν e t ν d t 2 c Γ ( 2 π 1 ) ν 2 π 1 δ 1 δ 2 ν 2 .
Therefore,
R φ δ 1 R φ δ 2 ν 2 c Γ ( 2 π 1 ) ν 2 π 1 δ 1 δ 2 ν .
Then, there is a unique solution of (1). □
Definition 4.
Equation (1) is stable with respect to ε in the sense of Ulam–Hyers (UHSwrε) if there exists N > 0 such that for every ε > 0 and z H 2 ( [ ρ , Φ ] ) of the following inequality: ζ [ 1 , Φ ]
E z ( ζ ) z ( 1 ) 1 Γ ( π ) 1 ζ 1 s ln ζ s π 1 h 1 ( s , z ( s ) , z ( ρ s ) ) d s + h 2 ( s , z ( s ) , z ( ρ s ) ) d W ( s ) 2 ε ,
there exists a solution δ H 2 ( [ ρ , Φ ] ) of (1), with δ ( t ) = z ( t ) for t [ ρ , 1 ] , satisfies E | | z ( ζ ) δ ( ζ ) | | 2 N ε , ζ [ 1 , Φ ] .
Theorem 2.
Under H 1 and H 2 , the PHFSDE (1) is UHSwrε on [ 1 , Φ ] .
Proof. 
Set ε > 0 and z H 2 ( [ ρ , Φ ] ) satisfies (16). Denote by δ H 2 ( [ ρ , Φ ] ) be the solution of (1) with δ ( t ) = z ( t ) for t [ ρ , 1 ] , then
δ ( ζ ) = z ( 1 ) + 1 Γ ( π ) 1 ζ 1 s ln ζ s π 1 h 1 ( s , δ ( s ) , δ ( ρ s ) ) d s + 1 ζ 1 s ln ζ s π 1 h 2 ( s , δ ( s ) , δ ( ρ s ) ) d W ( s ) .
Thus,
E | | z ( ζ ) δ ( ζ ) | | 2 2 E z ( ζ ) z ( 1 ) 1 Γ ( π ) 1 ζ 1 s ln ζ s π 1 h 1 ( s , z ( s ) , z ( ρ s ) ) d s + 1 ζ 1 s ln ζ s π 1 h 2 ( s , z ( s ) , z ( ρ s ) ) d W ( s ) 2 + 2 E 1 Γ ( π ) 1 ζ 1 s ln ζ s π 1 h 1 ( s , z ( s ) , z ( ρ s ) ) h 1 ( s , δ ( s ) , δ ( ρ s ) ) d s + 1 ζ 1 s ln ζ s π 1 h 2 ( s , z ( s ) , z ( ρ s ) ) h 2 ( s , δ ( s ) , δ ( ρ s ) ) d W ( s ) 2 .
Then, according to the Cauchy–Schwartz inequality (see [30]) and H 1 H 2 , we obtain
E | | z ( ζ ) δ ( ζ ) | | 2
2 ε + 4 E 1 Γ ( π ) 1 ζ 1 s ln ζ s π 1 h 1 ( s , z ( s ) , z ( ρ s ) ) h 1 ( s , δ ( s ) , δ ( ρ s ) ) d s 2 + 4 E 1 Γ ( π ) 1 ζ 1 s ln ζ s π 1 h 2 ( s , z ( s ) , z ( ρ s ) ) h 2 ( s , δ ( s ) , δ ( ρ s ) ) d W ( s ) 2 2 ε + 8 L 2 ln Φ 2 π 1 ( 2 π 1 ) Γ ( π ) 2 E 1 ζ | | z ( s ) δ ( s ) | | 2 + | | z ( ρ s ) δ ( ρ s ) | | 2 d s + 8 L 2 Γ ( π ) 2 E 1 ζ 1 s ln ζ s 2 π 2 | | z ( s ) δ ( s ) | | 2 + | | z ( ρ s ) δ ( ρ s ) | | 2 d s .
Let ϕ ( ζ ) = sup s [ ρ , ζ ] E | | z ( s ) δ ( s ) | | 2 for ζ [ 1 , Φ ] .
We derive that E | | z ( s ) δ ( s ) | | 2 ϕ ( s ) and E | | z ( ρ s ) δ ( ρ s ) | | 2 ϕ ( s ) , for all s [ 1 , Φ ] .
Then, by Fubini’s Theorem, for ζ [ 1 , Φ ] , we obtain
E | | z ( ζ ) δ ( ζ ) | | 2 2 ε + 16 L 2 ln Φ 2 π 1 ( 2 π 1 ) Γ ( π ) 2 1 ζ ϕ ( s ) d s + 16 L 2 Γ ( π ) 2 1 ζ 1 s ln ζ s 2 π 2 ϕ ( s ) d s .
Hence, for all l [ 1 , ζ ] ,
E | | z ( l ) δ ( l ) | | 2 2 ε + 16 L 2 ln Φ 2 π 1 ( 2 π 1 ) Γ ( π ) 2 1 ζ ϕ ( s ) d s + 16 L 2 Γ ( π ) 2 1 ζ 1 s ln ζ s 2 π 2 ϕ ( s ) d s .
Then,
ϕ ( ζ ) 2 ε + c 1 1 ζ ϕ ( s ) d s + c 2 1 ζ 1 s ln ζ s 2 π 2 ϕ ( s ) d s ,
for all ζ [ 1 , Φ ] , where c 1 = 16 L 2 ln Φ 2 π 1 ( 2 π 1 ) Γ ( π ) 2 and c 2 = 16 L 2 Γ ( π ) 2 .
Using generalized Gronwall inequality, we get
ϕ ( ζ ) 2 ε + c 1 1 ζ ϕ ( s ) d s E 2 π 1 c 2 Γ ( 2 π 1 ) ln ζ 2 π 1 c 3 ε + c 4 1 ζ ϕ ( s ) d s ,
where c 3 = 2 E 2 π 1 c 2 Γ ( 2 π 1 ) ln Φ 2 π 1 and c 4 = c 1 E 2 π 1 c 2 Γ ( 2 π 1 ) ln Φ 2 π 1 .
Using Gronwall inequality, we get
ϕ ( ζ ) c 3 ε e c 4 ( ζ 1 ) .
Hence,
E | | z ( ζ ) δ ( ζ ) | | 2 N ε , ζ [ 1 , Φ ] ,
where N = c 3 e c 4 ( Φ 1 ) .
Thus, Equation (1) is UHSwr ε . □
Remark 1.
The authors in [31] studied the existence, uniqueness and the Hyers–Ulam stability of stochastic differential equations with the Caputo fractional derivative.

4. Examples

This section is devoted to illustrate our results with two examples.
Example 1.
Let the PHFSDE for each ε > 0 and for ζ [ 1 , 3 ] given by
C D 1 π δ ( ζ ) = h 1 ζ , δ ( ζ ) , δ ( 0.3 ζ ) + h 2 ζ , δ ( ζ ) , δ ( 0.3 ζ ) d W ( ζ ) d ζ , E δ ( ζ ) δ ( 1 ) 1 Γ ( π ) 1 ζ ln ζ s π 1 h 1 ( s , δ ( s ) , δ ( 0.3 s ) ) d s + h 2 ( s , δ ( s ) , δ ( 0.3 s ) ) d W ( s ) 2 ε , δ ( ζ ) = φ ( ζ ) , ζ [ 0.3 , 1 ] ,
where
δ ( ζ ) H 2 ( [ 0.3 , 3 ] , R ) h 1 ( ζ , δ ( ζ ) , δ ( 0.3 ζ ) ) = e 0.3 ζ arctan ( δ ( ζ ) ) h 2 ( ζ , δ ( ζ ) , δ ( 0.3 ζ ) ) = sin 2 ( δ ( 0.3 ζ ) ) 1 + 0.3 ζ 2 .
We will show that Equation (23) is UHSwrε.
Let ( ζ , δ 1 , δ 2 ) [ 1 , 3 ] × R × R , then
| h 1 ( ζ , δ 1 , δ ˜ 1 ) h 1 ( ζ , δ 2 , δ ˜ 2 ) | + | h 2 ( ζ , δ 1 , δ ˜ 1 ) h 2 ( ζ , δ 2 , δ ˜ 2 ) | e 1 | δ 1 δ 2 | + | δ ˜ 1 δ ˜ 2 | ,
Consequently, hypothesis H 1 is satisfied. Moreover,
| h 2 ( · , 0 , 0 ) | 1 2 ,
and
1 3 | h 1 ( ζ , 0 , 0 ) | 2 d ζ 1 .
Therefore, assumptions H 1 - H 2 are fulfilled. Hence, using Theorem 2, Equation (23) is UHSwrε on [ 1 , 3 ] .
Example 2.
Let the PHFSDE for each ε > 0 and for ζ [ 1 , 5 ] given by
C D 1 π δ ( ζ ) = h 1 ζ , δ ( ζ ) , δ ( 0.75 ζ ) + h 2 ζ , δ ( ζ ) , δ ( 0.75 ζ ) d W ( ζ ) d ζ , E δ ( ζ ) δ ( 1 ) 1 Γ ( π ) 1 ζ ln ζ s π 1 h 1 ( s , δ ( s ) , δ ( 0.75 s ) ) d s + h 2 ( s , δ ( s ) , δ ( 0.75 s ) ) d W ( s ) 2 ε , δ ( ζ ) = φ ( ζ ) , ζ [ 0.75 , 1 ]
where
δ ( ζ ) H 2 ( [ 0.75 , 5 ] , R ) h 1 ( ζ , δ ( ζ ) , δ ( 0.75 ζ ) ) = cos δ ( ζ ) + sin δ ( 0.75 ζ ) 1 + ζ 2 h 2 ( ζ , δ ( ζ ) , δ ( 0.75 ζ ) ) = cos δ ( ζ ) + δ ( 0.75 ζ ) 1 + e ζ .
We will show that Equation (27) is UHSwrε.
Let ( ζ , δ 1 , δ 2 ) [ 1 , 5 ] × R × R , then
| h 1 ( ζ , δ 1 , δ ˜ 1 ) h 1 ( ζ , δ 2 , δ ˜ 2 ) | + | h 2 ( ζ , δ 1 , δ ˜ 1 ) h 2 ( ζ , δ 2 , δ ˜ 2 ) | 2 | δ 1 δ 2 | + | δ ˜ 1 δ ˜ 2 | ,
Consequently, hypothesis H 1 is satisfied. Moreover,
| h 2 ( · , 0 , 0 ) | 1 ,
and
1 5 | h 1 ( ζ , 0 , 0 ) | 2 d ζ arctan 5 .
Therefore, assumptions H 1 H 2 are fulfilled. Hence, using Theorem 2, Equation (27) is UHSwrε in [ 1 , 5 ] .

5. Conclusions

In this article, we study the existence and uniqueness Theorem of PHFSDE using the BFPT. We prove the stability in the sense of Ulam–Hyers of PHFSDE by using Gronwall inequalities and stochastic analysis methods. Finally, we exhibit two examples to make our results applicable.

Author Contributions

Conceptualization, O.K. and S.A.; methodology, A.A.; writing-original draft, A.B.M. All authors have read and agreed to the published version of the manuscript.

Funding

This research has been funded by Scientific Research Deanship at University of Ha’il-Saudi Arabia through project number <<RG-23 041>>.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Oldham, K.B.; Spanier, J. The Fractional Calculs; Academic Press: New York, NY, USA, 1974. [Google Scholar]
  2. Abbas, S.; Benchohra, M.; Lazreg, J.E.; Zhou, Y. A survey on Hadamard and Hilfer fractional differential equations: Analysis and stability. Chaos Solit. Fractals 2017, 102, 47–71. [Google Scholar] [CrossRef]
  3. Abu-Shady, M.; Kaabar, M.K.A. A generalized definition of the fractional derivative with applications. Math. Probl. Eng. 2021, 2021, 9444803. [Google Scholar] [CrossRef]
  4. Ahmad, B.; Alsaedi, A.; Ntouyas, S.K.; Tariboon, J. Hadamard-Type Fractional Differential Equations, Inclusions and Inequalities; Springer: Cham, Switzerland, 2017. [Google Scholar]
  5. Almeida, R. Caputo-Hadamard fractional derivatives of variable order. Numer. Funct. Anal. Optim. 2017, 38, 1–19. [Google Scholar] [CrossRef] [Green Version]
  6. Doan, T.S.; Huong, P.T.; Kloeden, P.E.; Tuan, H.T. Asymptotic separation between solutions of Caputo fractional stochastic differential equations. Stoch. Anal. Appl. 2018, 36, 1440243. [Google Scholar] [CrossRef] [Green Version]
  7. Kilbas, A.A.; Srivastava, H.M.; Trujillo, J.J. Theory and Applications of Fractional Differential Equations; Elsevier: Amsterdam, The Netherlands, 2006. [Google Scholar]
  8. Podlubny, I. Fractional Differential Equations; Academic Press: San Diego, CA, USA, 1999. [Google Scholar]
  9. Ross, B. Fractional Calculus and Its Applications; Springer: Berlin/Heidelberg, Germany, 1975. [Google Scholar]
  10. Tan, C.J.; Yan, B.; Qin, P. A Real-time Proportional Feedback Controller for Sustaining Uniform Inertial Cavitation Dynamics of Flowing Bubbles. In Proceedings of the IEEE International Ultrasonics Symposium, Las Vegas, NV, USA, 7–11 September 2020. [Google Scholar]
  11. Yang, Z.; Zheng, X.; Wang, H. Well-posedness and regularity of Caputo-Hadamard fractional stochastic differential equations. Z. Angew. Math. Phys. 2021, 72, 141. [Google Scholar] [CrossRef]
  12. Makhlouf, A.B.; Mchiri, L. Some results on the study of Caputo–Hadamard fractional stochastic differential equations. Chaos Solit. Fractals 2022, 155, 111757. [Google Scholar] [CrossRef]
  13. Rhaima, M. Ulam–Hyers stability for an impulsive Caputo–Hadamard fractional neutral stochastic differential equations with infinite delay. Math. Comput. Simul. 2023, 210, 281–295. [Google Scholar] [CrossRef]
  14. Rhaima, M. Ulam type stability for Caputo–Hadamard fractional functional stochastic differential equations with delay. Math. Methods Appl. Sci. 2023, 46, 10995–11006. [Google Scholar] [CrossRef]
  15. Liu, J.; Wei, W.; Wang, J.; Xu, W. Limit behavior of the solution of Caputo-Hadamard fractional stochastic differential equations. Appl. Math. Lett. 2023, 140, 108586. [Google Scholar] [CrossRef]
  16. Mouy, M.; Boulares, H.; Alshammari, S.; Alshammari, M.; Laskri, Y.; Mohammed, W.W. On Averaging Principle for Caputo-Hadamard Fractional Stochastic Differential Pantograph Equation. Fractal Fract. 2022, 7, 31. [Google Scholar] [CrossRef]
  17. Ockendon, J.R.; Taylor, A.B. The dynamics of a current collection system for an electric locomotive. Proc. R. Soc. Lond. Ser. A 1971, 322, 447–468. [Google Scholar]
  18. Appleby, J.A.D.; Buckwar, E. Sufficient conditions for polynomial asymptotic behaviour of the stochastic pantograph equation. In Proceedings of the 10th Colloquium on the Qualitative Theory of Differential Equations, Szeged, Hungary, 1–4 July 2016; pp. 1–32. [Google Scholar]
  19. Caraballo, T.; Belfeki, M.; Mchiri, L.; Rhaima, M. p-th moment exponential stability of neutral stochastic pantograph differential equations with Markovian switching. Commun. Nonlinear Sci. Numer. Simul. 2021, 102, 105916. [Google Scholar] [CrossRef]
  20. Caraballo, T.; Mchiri, L.; Belfeki, M.; Rhaima, M. h-stability in pth moment of neutral pantograph stochastic differential equations with Markovian switching driven by Lévy noise. Chaos Solit. Fractals 2021, 151, 111249. [Google Scholar] [CrossRef]
  21. Mao, W.; Hu, L.; Mao, X. Razumikhin-type theorems on polynomial stability of hybrid stochastic systems with pantograph delay. Discret. Contin. Dyn. Syst. B 2020, 25, 3217–3232. [Google Scholar] [CrossRef] [Green Version]
  22. Mao, W.; Hu, L.; Mao, X. Almost sure stability with general decay rate of neutral stochastic pantograph equations with Markovian switching. Electron. J. Qual. Theory Differ. Eq. 2019, 52, 1–17. [Google Scholar] [CrossRef]
  23. Ahmadova, A.; Mahmudov, N.I. Ulam-Hyers stability of Caputo type fractional stochastic neutral differential equations. Stat. Probab. Lett. 2021, 168, 108949. [Google Scholar] [CrossRef]
  24. Makhlouf, A.B.; Mchiri, L.; Rhaima, M. Ulam-Hyers-Rassias stability of stochastic functional differential equations via fixed point methods. J. Funct. Spaces 2021, 2021, 5544847. [Google Scholar] [CrossRef]
  25. Caraballo, T.; Mchiri, L.; Rhaima, M. Ulam–Hyers–Rassias stability of neutral stochastic functional differential equations. Stoch. Int. J. Probab. Stoch. Process. 2022, 94, 959–971. [Google Scholar] [CrossRef]
  26. Hyers, D.H. On the stability of the linear functional equation. Proc. Natl. Acad. Sci. USA 1941, 27, 222–224. [Google Scholar] [CrossRef] [Green Version]
  27. Long, H.V.; Son, N.T.K.; Tam, H.T.T.; Yao, J.C. Ulam stability for fractional partial integrodi differential equation with uncertainty. Acta Math. Vietnam. 2017, 42, 675–700. [Google Scholar] [CrossRef]
  28. Graef, J.R.; Tunç, C.; Şengun, M.; Tunç, O. The stability of nonlinear delay integro-differential equations in the sense of Hyers-Ulam. Nonautonomous Dyn. Syst. 2023, 10, 20220169. [Google Scholar] [CrossRef]
  29. Tunç, O.; Tunç, C. Ulam stabilities of nonlinear iterative integro-differential equations. Rev. Real Acad. Cienc. Exact. Fís. Nat. Ser. Mat. 2023, 117, 118. [Google Scholar] [CrossRef]
  30. Mao, X. Stochastic Differential Equations and Applications; Ellis Horwood: Chichester, UK, 1997. [Google Scholar]
  31. Mchiri, L.; Makhlouf, A.B.; Rguigui, H. Ulam–Hyers stability of pantograph fractional stochastic differential equations. Math. Methods Appl. Sci. 2023, 46, 4134–4144. [Google Scholar] [CrossRef]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Kahouli, O.; Albadran, S.; Aloui, A.; Ben Makhlouf, A. Ulam–Hyers Stability of Pantograph Hadamard Fractional Stochastic Differential Equations. Symmetry 2023, 15, 1583. https://doi.org/10.3390/sym15081583

AMA Style

Kahouli O, Albadran S, Aloui A, Ben Makhlouf A. Ulam–Hyers Stability of Pantograph Hadamard Fractional Stochastic Differential Equations. Symmetry. 2023; 15(8):1583. https://doi.org/10.3390/sym15081583

Chicago/Turabian Style

Kahouli, Omar, Saleh Albadran, Ali Aloui, and Abdellatif Ben Makhlouf. 2023. "Ulam–Hyers Stability of Pantograph Hadamard Fractional Stochastic Differential Equations" Symmetry 15, no. 8: 1583. https://doi.org/10.3390/sym15081583

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop