Next Article in Journal
Neutral-Type and Mixed Delays in Fractional-Order Neural Networks: Asymptotic Stability Analysis
Next Article in Special Issue
An Analysis on the Optimal Control for Fractional Stochastic Delay Integrodifferential Systems of Order 1 < γ < 2
Previous Article in Journal
On the Variable Order Fractional Calculus Characterization for the Hidden Variable Fractal Interpolation Function
Previous Article in Special Issue
Chaos Controllability in Fractional-Order Systems via Active Dual Combination–Combination Hybrid Synchronization Strategy
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Applications of the Neutrosophic Poisson Distribution for Bi-Univalent Functions Involving the Modified Caputo’s Derivative Operator

School of Advanced Sciences, Vellore Institute of Technology, Vellore 632 014, Tamil Nadu, India
*
Author to whom correspondence should be addressed.
Fractal Fract. 2023, 7(1), 35; https://doi.org/10.3390/fractalfract7010035
Submission received: 10 November 2022 / Revised: 18 December 2022 / Accepted: 21 December 2022 / Published: 28 December 2022
(This article belongs to the Special Issue Deterministic and Stochastic Fractional Differential Systems)

Abstract

:
This paper establishes the upper bounds for the second and third coefficients of holomorphic and bi-univalent functions in a family which involves Bazilevic functions and μ -pseudo-starlike functions under a new operator, joining the neutrosophic Poisson distribution with the modified Caputo’s derivative operator. We also discuss Fekete–Szego’s function problem in this family. Examples are given to support our case for the neutrosophic Poisson distribution. The fields of physics, mechanics, engineering, and biology all make extensive use of fractional derivatives.

1. Introduction

Let A denote the class of functions f of the form
f ( ζ ) = ζ + d 2 ζ 2 +
which contains all univalent functions of the form in Equaiton (1). Biberbach [1] first presented the familiar coefficient conjecture for the function f A of the form in Equation (1) and wassupported by de Branges [2] in 1985. Between 1916 and 1985, this idea was the subject of numerous study attempts.
Let S be the subcollection of A that contains functions that have univalent values in U. Every function f S follows the Koebe one-quarter theorem (see [3]) and has an inverse f 1 such that f 1 ( f ( ζ ) ) = ζ , ζ U and f ( f 1 ( ω ) ) = ω , | ω | < r 0 ( f ) , r 0 ( f ) 1 4 . If f is of the form (1.1), then
f 1 ( ω ) = ω d 2 ( ω ) 2 ( 2 d 2 2 d 3 ) ( ω ) 3 | ω | < r 0 ( f )
If both f and f 1 are univalent in U, then a function f A is said to be bi-univalent in U. Regarding the set of bi-univalent functions in U, Srivastava et al. [4] reportedly revived the study of holomorphic and bi-univalent functions in recent years, which we denote with Σ . This was followed by pieces by authors such as Frasin and Aouf [5], Goyal and Goswami [6], Srivastava and Bansal [7] and others (see, for example, [8,9,10,11,12]).
For the polynomials G ( x ) and H ( x ) with real coefficients, the ( G , H ) Lucas polynomials L G , H , k ( x ) are defined by the following recurrence relation (see [13,14]):
L G , H , k ( x ) = G ( x ) L G , H , k 1 ( x ) + H ( x ) L G , H , k 2 ( x ) k 2 .
In a variety of fields in the mathematical, statistical, physical, and engineering sciences, the Lucas polynomials are crucial (see, for instance, [15,16,17,18]). The generating function of the ( G , H ) Lucas polynomial L G , H , k ( x ) (see [16]) is given by
M G ( x ) , H ( x ) ( ζ ) = k = 2 L G , H , k ( x ) ζ k = 2 G ( x ) ζ 1 G ( x ) ζ H ( x ) ζ 2 .
If the holomorphic functions of f and g are in U , then f is subordinate to g, which implies f ( ζ ) g ( ζ ) . If there are Schwarz functions | w ( ζ ) | < 1 present for all ζ U and w ( 0 ) = 0 , then we have the following condition (see also [19]):
f g f ( 0 ) = g ( 0 ) a n d f ( U ) g ( U ) .
A function f A is called a Bazilevic function of the order λ , where λ 0 , if (see [20])
R e ζ 1 λ f ( ζ ) f ( ζ ) 1 λ , ζ U .
A function f A is called a δ -pseudo-starlike function of the order μ , where μ 1 , if (see [21])
R e ζ f ( ζ ) μ f ( ζ ) , ζ U .
In recent years, the distributions of random variables have generated a great deal of interest. Their probability density functions have played an important role in statistics and probability theory. This brand new type of thought in fuzzy logic offers a fresh framework for addressing problems with ambiguous data (see [22] for neutrosophic numbers and the references therein). The application of neutrosophic crisp set theory to the classical probability distributions, particularly the Poisson, exponential, and Uniform distributions, creates a new path for addressing problems that adhere to the classical distributions while also containing inaccurately characterised data.
We will now study the following issues by assuming that ξ N ( ζ ) represents the neutrosophic Poisson distribution series. The neutrosophic probability distribution is deeply concerned with certaining more broad and obvious values, whereas the classical probability distributions only deal with specific data and set parameter values. In actuality, a classical Poisson distribution of x with an uncertain parameter value is the neutrosophic Poisson distribution of a discrete variable κ . A variable is said to have the neutrosophic Poisson distribution if its probability with the value n N * = N { 0 } is
N P ( κ = n ) = ( ϑ N ) n n ! e ϑ N .
Hence, for the neutrosophic statistical number N = d + I , the distribution parameter ϑ N is the expected value and the variance, or N E ( x ) = N V ( x ) = ϑ N (see [23,24] and the sources referenced). We create a power series by using the probabilities for the neutrosophic Poisson distribution as its coefficients:
Ψ ( ϑ N , ζ ) = ζ + k = 2 ( ϑ N ) k 1 ( k 1 ) ! e ϑ N ζ k .
For f A , we use the convolution operator ∗ to introduce the linear operator
A ϑ N f ( ζ ) = Ψ ( ϑ N , ζ ) f ( ζ ) = ζ + k = 2 ( ϑ N ) k 1 ( k 1 ) ! e ϑ N a k ζ k .
Definition 1.
The fractional integral of the order δ is defined for a function f A by
D ζ δ f ( ζ ) = 1 Γ δ d d ζ a b f ( τ ) ( ζ τ ) ( 1 δ ) d τ 0 δ < 0
where the multiplicity of ( ζ τ ) δ 1 is removed by requiring l o g ( ζ τ ) to be real when ζ τ > 0 .
Definition 2.
The fractional integral of the order δ is defined for a function f A by
D ζ δ f ( ζ ) = 1 Γ ( 1 δ ) d d ζ a b f ( τ ) ( ζ τ ) δ d τ 0 δ < 0
where the multiplicity of ( ζ τ ) δ is removed by requiring l o g ( ζ τ ) to be real when ζ τ > 0 .
Definition 3
([25]). Caputo’s definition of a fractional-order derivative is given by
D γ f ( τ ) = 1 Γ ( n γ ) 0 r f ( n ) t ( τ t ) γ + 1 n d t
where n 1 R e ( γ ) n , n N , and γ is allowed to be a real or complex number and is the initial value of the function f.
Definition 4
([26]). The modified Caputo’s derivative operator is given by
I δ η f ( ζ ) = Γ ( 2 + η δ ) η δ ζ δ η 0 ζ Ψ η f ( τ ) ( ζ τ ) δ + 1 η d τ
where η is a real number, η 1 < δ η < 2 , and Ψ η f ( τ ) = Γ ( 2 η ) τ η D τ η f ( τ ) . Now, if ζ + k = 2 a k ζ k is an analytic function in A, then
I δ η f ( ζ ) = ζ + k = 2 Γ ( k + 1 ) 2 Γ ( 2 + η δ ) Γ ( 2 η ) Γ ( k + η δ + 1 ) Γ ( k η + 1 ) a k ζ k , ζ U .
In this paper, for f A , we introduce a new linear operator M δ , ϑ N η : A A :
M δ , ϑ N η f ( ζ ) = I η , δ A ϑ N .
It is easy to obtain from Equation (9) that
M δ , ϑ N η f ( ζ ) = ζ + k = 2 ( ϑ N ) k 1 k 2 Γ ( k ) Γ ( 2 + η δ ) Γ ( 2 η ) Γ ( k + η δ + 1 ) Γ ( k η + 1 ) e ϑ N a k ζ k , ζ U ,
where η 1 < δ η < 2 .
Abiodun Tinuoye Olad [27] focused on the use of bounds for the neutrosophic Poisson distribution, and Wanas and Sokol [28] obtained a Poisson distribution with a Ruscheweyh derivative operator. In their results, ϑ N was not precisely defined. Classical probability distributions only deal with specified data, and their parameters are always given with a specified value, while the neutrosophic probability distribution gives a more general clarity of the study issues when ϑ N is an interval. We obtained the second and third inequality as well as the Fekete–Szego inequality for the function f Υ Σ ( α , λ , μ , η , δ , ϑ N ; e ) . Additionally, examples were given to support our case for the neutrosophic Poisson distribution.

2. Main Results

We begin this section by defining the family Υ Σ ( α , λ , μ , η , δ , ϑ N ; e ) as follows:
Definition 5.
Assume that λ 0 , μ 1 , 0 α 1 , η 1 < δ η < 2 , ϑ N [ 1 , ] , and e is analytic in U, e ( 0 ) = 1 . The function f Σ is in the family Υ Σ ( α , λ , μ , η , δ , ϑ N ; e ) if it fulfills the subordinations
( 1 α ) ζ 1 λ M δ , ϑ N η f ( ζ ) M δ , ϑ N η f ( ζ ) 1 λ + α ζ M δ , ϑ N η f ( ζ ) μ M δ , ϑ N η f ( ζ ) e ( ζ )
( 1 α ) ζ 1 λ M δ , ϑ N η f ( ζ ) M δ , ϑ N η f ( ζ ) 1 λ + α ζ M δ , ϑ N η f ( ζ ) μ M δ , ϑ N η f ( ζ ) 1 + h 1 ( ζ ) + h 2 ( ζ ) 2 +
and
( 1 α ) ω 1 λ M δ , ϑ N η f 1 ( ω ) M δ , ϑ N η f 1 ( ω ) 1 λ + α ζ M δ , ϑ N η f 1 ( ω ) μ M δ , ϑ N η f 1 ( ω ) 1 + h 1 ( ω ) + h 2 ( ω ) 2 +
where f 1 is given by Equation (2).
In particular, if we choose α = 1 in Definition 5, then the family Υ Σ ( α , λ , μ , η , δ , ϑ N ; e ) reduces to the family N Σ ( μ , η , δ , ϑ N ; e ) of μ -pseudo-bi-starlike functions which satisfy the following subordinations:
ζ M δ , ϑ N η f ( ζ ) μ M δ , ϑ N η f ( ζ ) 1 + h 1 ( ζ ) + h 2 ( ζ ) 2 +
and
ω M δ , ϑ N η f 1 ( ω ) μ M δ , ϑ N η f 1 ( ω ) 1 + h 1 ( ω ) + h 2 ( ω ) 2 +
If we choose α = 0 in Definition 5, then the family Υ Σ ( α , λ , μ , η , δ , ϑ N ; e ) reduces to the family C Σ ( λ , η , δ , ϑ N ; e ) of bi-Bazilevic univalent functions which satisfy the following subordinations:
ζ 1 λ M δ , ϑ N η f ( ζ ) M δ , ϑ N η f ( ζ ) 1 λ 1 + h 1 ( ζ ) + h 2 ( ζ ) 2 +
and
ω 1 λ M δ , ϑ N η f 1 ( ω ) M δ , ϑ N η f 1 ( ω ) 1 λ 1 + h 1 ( ω ) + h 2 ( ω ) 2 +
If we choose α = μ = 1 in Definition 5, then the family Υ Σ ( α , λ , μ , η , δ , ϑ N ; e ) reduces to the family D Σ ( η , δ , ϑ N ; e ) of bi-starlike functions which satisfy the following subordinations:
ζ M δ , ϑ N η f ( ζ ) M δ , ϑ N η f ( ζ ) 1 + h 1 ( ζ ) + h 2 ( ζ ) 2 +
and
ω M δ , ϑ N η f 1 ( ω ) M δ , ϑ N η f 1 ( ω ) 1 + h 1 ( ω ) + h 2 ( ω ) 2 +
In the following sections, we obtain the Fekete–Szego inequality results for the function f Υ Σ ( α , λ , μ , η , δ , ϑ N ; e ) :
Theorem 1.
Assume that λ 0 , μ 1 , 0 α 1 , η 1 < δ η < 2 , and ϑ N [ 1 , ] . If f Σ of the form in Equation (1) is in the class Υ Σ ( α , λ , μ , η , δ , ϑ N ; e ) with e ( ζ ) = 1 + h 1 ( ζ ) + h 2 ( ζ ) 2 + , then
d 2 | h 1 | 4 ( 1 + η δ ) ( 1 η ) ( 1 α ) ( λ + 1 ) + 2 δ ( μ 1 ) ϑ N e ϑ N = | h 1 | 4 E
and
| d 3 | m i n m a x h 1 F , h 2 F J h 1 2 16 E 2 F , m a x h 1 F , h 2 F ( 2 F + J ) h 1 2 16 E 2 F ,
where
E = ( 1 + η δ ) ( 1 η ) ( 1 α ) ( λ + 1 ) + 2 δ ( μ 1 ) ϑ N e ϑ N , F = ( 2 + η δ ) ( 2 η ) 18 ( 1 α ) ( λ + 1 ) + 54 δ ( μ 1 ) ( ϑ N ) 2 e ϑ N , J = ( 1 + η δ ) 2 ( 1 η ) 2 ( 1 α ) ( λ 2 + 31 λ 32 ) + 32 δ ( μ 2 3 μ + 2 ) ( ϑ N ) 2 e 2 ϑ N .
Proof. 
Suppose that f Υ Σ ( α , λ , μ , η , δ , ϑ N ; e ) . Then, there exist two holomorphic functions χ , φ : U U given by
χ ( ζ ) = b 1 ζ + b 2 ζ 2 + . . , ζ U
φ ( ω ) = l 1 ω + l 2 ω 2 + . . , ω U
with χ ( 0 ) = φ ( 0 ) = 0 , | χ ( ζ ) | < 1 , | φ ( ω ) | < 1 , and ζ , ω U such that
( 1 α ) ζ 1 λ M δ , ϑ N η f ( ζ ) M δ , ϑ N η f ( ζ ) 1 λ + α ζ M δ , ϑ N η f ( ζ ) μ M δ , ϑ N η f ( ζ ) = 1 + h 1 χ ( ζ ) + h 2 χ 2 ( ζ ) +
( 1 α ) ω 1 λ M δ , ϑ N η f 1 ( ω ) M δ , ϑ N η f 1 ( ω ) 1 λ + α ζ M δ , ϑ N η f 1 ( ω ) μ M δ , ϑ N η f 1 ( ω ) = 1 + h 1 φ ( ω ) + h 2 φ 2 ( ω ) +
Combining Equations (14) and (13) as well as Equations (15) and (16) yields
( 1 α ) ζ 1 λ M δ , ϑ N η f ( ζ ) M δ , ϑ N η f ( ζ ) 1 λ + α ζ M δ , ϑ N η f ( ζ ) μ M δ , ϑ N η f ( ζ ) = 1 + h 1 b 1 ζ + h 1 b 2 + h 2 b 1 2 ( ζ ) 2 +
( 1 α ) ω 1 λ M δ , ϑ N η f 1 ( ω ) M δ , ϑ N η f 1 ( ω ) 1 λ + α ζ M δ , ϑ N η f 1 ( ω ) μ M δ , ϑ N η f 1 ( ω ) = 1 + h 1 l 1 ( ω ) + h 1 l 2 + h 2 l 1 2 ( ω ) 2 +
It is quite well known that if | χ ( ζ ) < 1 | , | φ ( ω ) < 1 | , and ζ , ω U , then we obtain
| b n | 1 , | l n | < 1 , n N .
In light of Equations (18) and (19), after simplifying, we find that
4 ( 1 + η δ ) ( 1 η ) ( 1 α ) ( λ + 1 ) + 2 δ ( μ 1 ) ϑ N e ϑ N d 2 = h 1 b 1 ,
( 2 + η δ ) ( 2 η ) 18 ( 1 α ) ( λ + 1 ) + 54 δ ( μ 1 ) ( ϑ N ) 2 e ϑ N d 3 + ( 1 + η δ ) 2 ( 1 η ) 2 ( 1 α ) ( λ 2 + 31 λ 32 ) + 32 δ ( μ 2 3 μ + 2 ) ( ϑ N ) 2 e 2 ϑ N d 2 2 = h 1 b 2 + h 2 b 1 2 ,
4 ( 1 + η δ ) ( 1 η ) ( 1 α ) ( λ + 1 ) + 2 δ ( μ 1 ) ϑ N e ϑ N d 2 = h 1 l 1 ,
( 2 + η δ ) ( 2 η ) 18 ( 1 α ) ( λ + 1 ) + 54 δ ( μ 1 ) ( ϑ N ) 2 e ϑ N ( 2 d 2 2 d 3 ) + ( 1 + η δ ) 2 ( 1 η ) 2 ( 1 α ) ( λ 2 + 31 λ 32 ) + 32 δ ( μ 2 3 μ + 2 ) ( ϑ N ) 2 e 2 ϑ N d 2 2 = h 1 l 2 + h 2 l 1 2 .
The inequality in Equation (11) follows from Equation (21). If we apply the notation Equation (13), then Equation (21) becomes
4 E d 2 = h 1 b 1 , F d 3 + J d 2 2 = h 1 b 2 + h 2 b 1 2
This yields
F d 3 = h 1 b 2 + h 2 J h 1 2 16 E 2 b 1 2 ,
In addition, upon using the known sharp result ([3], p. 10), we obtain
| b 2 γ b 1 2 | m a x 1 , | γ | ,
where for all γ C , we obtain
| d 3 | m a x h 1 F , h 2 F J h 1 2 16 E 2 F .
In the same way, Equations (23) and (24) become
4 E d 2 = h 1 l 1 , F ( 2 d 2 2 d 3 ) + J d 2 2 = h 1 l 2 + h 2 l 1 2 .
This yields
F h 1 d 3 = l 2 + h 2 h 1 ( 2 F + J ) h 1 16 E 2 l 1 2 ,
where, upon using the known sharp result ([3], p. 10), we obtain
| l 2 γ l 1 2 | m a x 1 , | γ | ,
such that for all γ C , we obtain
F h 1 | d 3 | m a x 1 , h 2 h 1 ( 2 F + J ) h 1 16 E 2 .
The inequality in Equation (12) follows from Equations (28) and (32).
Hence, the proof is complete. □
If we take the generating function in Equation (3) of the ( G , H ) Lucas polynomial L G , H , k ( x ) as e ( ζ ) + 1 , then from Equation (2), we have h 1 = G ( x ) and h 2 = G 2 ( x ) + 2 H ( x ) , and Theorem 1 becomes the following corollary:
Corollary 1.
If f Σ of the form in Equation (1) is in the class Υ Σ ( α , λ , μ , η , δ , ϑ N ; M G ( x ) , H ( x ) 1 ) , then
d 2 | G ( x ) | 4 ( 1 + η δ ) ( 1 η ) ( 1 α ) ( λ + 1 ) + 2 δ ( μ 1 ) ϑ N e ϑ N
| d 3 | m i n { m a x G ( x ) F , G 2 ( x ) + 2 H ( x ) F J G 2 ( x ) 16 E 2 F , m a x F ( x ) F , G 2 ( x ) + 2 H ( x ) F ( 2 F + J ) G 2 ( x ) 16 E 2 F }
for all α , λ , μ , η , δ , ϑ N , and x such that λ 0 , μ 1 , 0 α 1 , η 1 < δ η < 2 , ϑ N [ 1 , ] , and x R , where E , F , and J are given by Equation (13) and M G ( x ) , H ( x ) is given by Equation (3).
In the next theorem, we discuss a bound for | d 3 β d 2 2 | , called Fekete–Szego’s problem:
Theorem 2.
If f Σ of the form in Equation (1) is in the class Υ Σ ( α , λ , μ , η , δ , ϑ N ; e ) , then
| d 3 β d 2 2 | h 1 F m a x 1 , h 2 h 1 ( J β F ) h 1 16 E 2 , m a x 1 , h 2 h 1 ( 2 F + J β F ) h 1 16 E 2
for all α , λ , μ , η , δ , ϑ N , and x such that λ 0 , μ 1 , 0 α 1 , η 1 < δ η < 2 , ϑ N [ 1 , ] , and β C , where E , F , and J are given by Equation (13).
Proof. 
We apply the notations from the proof of Theorem 1. From Equations (25) and (26), we have
d 3 β d 2 2 = h 1 F b 2 + h 2 h 1 J h 1 16 E 2 b 1 2 β h 1 2 b 1 2 16 E 2 ,
d 3 β d 2 2 = h 1 F b 2 + h 2 h 1 ( J β F ) h 1 16 E 2 b 1 2 ,
where upon using the known sharp result ([3], p. 10), we obtain
| b 2 γ b 1 2 | m a x 1 , | γ | ,
where for all γ C , we obtain
| d 3 β d 2 2 | h 1 F m a x 1 , h 2 h 1 ( J β F ) h 1 16 E 2 .
From Equations (29) and (30), we have
d 3 β d 2 2 = h 1 F b 2 + h 2 h 1 ( 2 F + J β F ) h 1 16 E 2 b 1 2 ,
where upon using the known sharp result ([3], p. 10), we obtain
| b 2 γ b 1 2 | m a x 1 , | γ | ,
where for all γ C , we obtain
| d 3 β d 2 2 | h 1 F m a x 1 , h 2 h 1 ( 2 F + J β F ) h 1 16 E 2 .
The inequality in Equation (34) follows from Equations (37) and (40). □
Corollary 2.
If f Σ of the form in Equation (1) is in the class Υ Σ ( α , λ , μ , η , δ , ϑ N ; M G ( x ) , H ( x ) 1 ) , then
| d 3 β d 2 2 | G ( x ) F m i n { m a x 1 , G 2 ( x ) + 2 H ( x ) G ( x ) ( J β F ) G ( x ) 16 E 2 , m a x 1 , G 2 ( x ) + 2 H ( x ) G ( x ) ( 2 F + J β F ) G ( x ) 16 E 2 }
for all α , λ , μ , η , δ , ϑ N , and x such that λ 0 , μ 1 , 0 α 1 , η 1 < δ η < 2 , ϑ N [ 1 , ] , and x R , where E , F , and J are given by Equation (13) and M G ( x ) , H ( x ) is given by Equation (3).

3. Instance of a Case Study

When a phone employee at a corporation receives calls at a rate of [1, 3] calls per minute, we will determine the likelihood that the employee will not receive any calls within a minute. The given corollary follows from Theorems 1 and 2:
Corollary 3.
If f Σ of the form in Equation (1) is in the class Υ Σ ( 0 , λ , μ , η , δ , ϑ N ; e ) , then
d 2 | h 1 | 4 ( 1 + η δ ) ( 1 η ) ( λ + 1 ) + 2 δ ( μ 1 ) [ 1 , 3 ] e [ 1 , 3 ] = | h 1 | 4 E ,
and
| d 3 | m i n m a x h 1 F , h 2 F J h 1 2 16 E 2 F , m a x h 1 F , h 2 F ( 2 F + J ) h 1 2 16 E 2 F ,
| d 3 β d 2 2 | h 1 F m a x 1 , h 2 h 1 ( J β F ) h 1 16 E 2 , m a x 1 , h 2 h 1 ( 2 F + J β F ) h 1 16 E 2 ,
for all α , λ , μ , η , δ , ϑ N , and x such that λ 0 , μ 1 , α = 0 , η 1 < δ η < 2 , ϑ N [ 1 , 3 ] , and β C , where
E = ( 1 + η δ ) ( 1 η ) ( λ + 1 ) + 2 δ ( μ 1 ) [ 1 , 3 ] e [ 1 , 3 ] , F = ( 2 + η δ ) ( 2 η ) 18 ( λ + 1 ) + 54 δ ( μ 1 ) ( [ 1 , 3 ] ) 2 e [ 1 , 3 ] , J = ( 1 + η δ ) 2 ( 1 η ) 2 ( λ 2 + 31 λ 32 ) + 32 δ ( μ 2 3 μ + 2 ) ( [ 1 , 3 ] ) 2 e 2 [ 1 , 3 ] .

4. The Importance of the Fekete–Szego Inequality Results

Every aspect of human endeavours depends on probability and statistics, which are particularly important quantitative tools in the fields of economics and finance. Any set of actions will produce varied results, depending on some circumstances. Therefore, there are many fascinating decisions that may be made with different selections of values for the parameter ϑ N . Additionally, from an economic perspective, our findings will be beneficial in decision-making processes.

5. Conclusions

This paper deals with the applications of the neutrosophic Poisson distribution for bi-univalent functions involving the modified Caputo’s derivative operator. In addition, we found the Fekete–Szego inequality results to be in the subclass of holomorphic functions. Furthermore, the Hankel determinant may be investigated for this distribution in the future. We anticipate that Caputo’s derivative operator will be important in several fields related to mathematics, science, and technology.

Author Contributions

Conceptualization, S.S. and K.T.; methodology, S.S. and K.T.; validation, S.S. and K.T.; formal analysis, S.S. and K.T.; investigation, S.S. and K.T.; resources, S.S. and K.T.; data curation, S.S. and K.T.; writing—original draft preparation, S.S.; writing—review and editing, S.S. and K.T.; visualization, S.S. and K.T.; supervision, K.T. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Bieberbach, L. Über dié Koeffizienten Derjenigen Potenzreihen, Welche eine Schlichte Abbildung des Einheitskreises Vermitteln; Reimer in Komm: Berlin, Germany, 1916. [Google Scholar]
  2. De-Branges, L. A proof of the Bieberbach conjecture. Acta. Math. 1985, 154, 137–152. [Google Scholar] [CrossRef]
  3. Duren, P.L. Univalent Functions; Springer: New York, NY, USA; Berlin/Heidelberg, Germany; Tokyo, Japan, 1983. [Google Scholar]
  4. Srivastava, H.M.; Mishra, A.K.; Gochhayat, P. Certain subclasses of analytic and bi-univalent functions. Appl. Math. Lett. 2010, 23, 1188–1192. [Google Scholar] [CrossRef] [Green Version]
  5. Frasin, B.A.; Aouf, M.K. New subclasses of bi-univalent functions. Appl. Math. Lett. 2011, 24, 1569–1573. [Google Scholar] [CrossRef] [Green Version]
  6. Goyal, S.P.; Goswami, P. Estimate for initial Maclaurin coefficients of bi-univalent functions for a class defined by fractional derivatives. J. Egyptian Math. Soc. 2012, 20, 179–182. [Google Scholar] [CrossRef] [Green Version]
  7. Srivastava, H.M.; Bansal, D. Coefficient estimates for a subclass of analytic and bi-univalent functions. J. Egyptian Math. Soc. 2015, 23, 242–246. [Google Scholar] [CrossRef] [Green Version]
  8. Caglar, M.; Deniz, E.; Srivastava, H.M. Second Hankel determinant for certain subclasses of bi-univalent functions. Turkish J. Math. 2017, 41, 694–706. [Google Scholar] [CrossRef]
  9. Srivastava, H.M.; Eker, S.S.; Ali, R.M. Coefficient bounds for a certain class of analytic and bi-univalent functions. Filomat 2015, 29, 1839–1845. [Google Scholar] [CrossRef] [Green Version]
  10. Srivastava, H.M.; Eker, S.S.; Hamidi, S.G.; Jahangiri, J.M. Faber polynomial coefficient estimates for bi-univalent functions defined by the Tremblay fractional derivative operator. Bull. Iranian Math. Soc. 2018, 44, 149–157. [Google Scholar] [CrossRef]
  11. Srivastava, H.M.; Gaboury, S.; Ghanim, F. Coefficient estimates for some general subclasses of analytic and bi-univalent functions. Afrika Math. 2017, 28, 693–706. [Google Scholar] [CrossRef]
  12. Wanas, A.K.; Alina, A.L. Applications of Horadam polynomials on Bazilevic bi-univalent function satisfying subordinate conditions. J. Physics: Conf. Ser. 2019, 1294, 032003. [Google Scholar]
  13. Keogh, F.R.; Merkes, E.P. A coefficient inequality for certain classes of analytic functions. Proc. Amer. Math. Soc. 1969, 20, 8–12. [Google Scholar] [CrossRef]
  14. Lee, G.Y.; Asci, M. Some properties of the (p, q)-Fibonacci and (p, q)-Lucas polynomials. J. Appl. Math. 2012, 2012, 264842. [Google Scholar] [CrossRef] [Green Version]
  15. Filipponi, P.; Horadam, A.F. Derivative sequences of Fibonacci and Lucas polynomials. Appl. Fibonacci Numbers 1991, 4, 99–108. [Google Scholar]
  16. Lupas, A. A guide of Fibonacci and Lucas polynomials. Octogon Math. Mag. 1999, 7, 2–12. [Google Scholar]
  17. Ruscheweyh, S. New criteria for univalent functions. Proc. Amer. Math. Soc. 1975, 49, 109–115. [Google Scholar] [CrossRef]
  18. Wang, T.; Zhang, W. Some identities involving Fibonacci, Lucas polynomials and their applications. Bull. Math. Soc. Sci. Math. Roumanie 2012, 55, 95–103. [Google Scholar]
  19. Miller, S.S.; Mocanu, P.T. Differential Subordinations: Theory and Applications; Series on Monographs and Textbooks in Pure and Applied Mathematics 225; Marcel Dekker Inc.: New York, NY, USA; Basel, Switzerland, 2000. [Google Scholar]
  20. Singh, R. On Bazilevic functions. Proc. Amer. Math. Soc. 1973, 38, 261–271. [Google Scholar]
  21. Babalola, K.O. On λ-pseudo-starlike functions. J. Class. Anal. 2013, 3, 137–147. [Google Scholar] [CrossRef]
  22. Alhabib, R.; Ranna, M.M.; Farah, H.; Salama, A.A. Some neutrosophic probability distributions. Neutrosophic Sets Syst. 2018, 22, 30–37. [Google Scholar]
  23. Porwal, S. An application of a Poisson distribution series on certain analytic functions. J. Complex Anal. 2014, 2014, 984135. [Google Scholar] [CrossRef]
  24. Porwal, S.; Kumar, M. A unified study on starlike and convex functions associated with Poisson distribution series. Afrika Math. 2016, 27, 1021–1027. [Google Scholar] [CrossRef]
  25. Salah, J. A note on the modified caputo’s fractional calculus derivative operator. Int. J. Pure Appl. Math. 2016, 109, 665–667. [Google Scholar] [CrossRef]
  26. Salah, J.; Darus, M. A Subclass of Uniformly Convex Functions Associated with a Fractional Calculus Operator Involving Caputos Fractional Differentiation. Acta Univ. Apulensis.-Math.-Inform. 2010, 24, 295–306. [Google Scholar]
  27. Oladipo, A.T. Bounds for Poisson and Neutrosophic Poisson Distributions Associated with Chhebyshiev Polynomials. Palest. J. Math. 2021, 10, 169–174. [Google Scholar]
  28. Wanas, A.K.; Sokol, J. Applications Poisson Distribution and Ruscheweyh Derivative Operator for Bi-univalent Fumctions. Kragujev. J. Math. 2024, 48, 89–97. [Google Scholar]
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

Santhiya, S.; Thilagavathi, K. Applications of the Neutrosophic Poisson Distribution for Bi-Univalent Functions Involving the Modified Caputo’s Derivative Operator. Fractal Fract. 2023, 7, 35. https://doi.org/10.3390/fractalfract7010035

AMA Style

Santhiya S, Thilagavathi K. Applications of the Neutrosophic Poisson Distribution for Bi-Univalent Functions Involving the Modified Caputo’s Derivative Operator. Fractal and Fractional. 2023; 7(1):35. https://doi.org/10.3390/fractalfract7010035

Chicago/Turabian Style

Santhiya, S., and K. Thilagavathi. 2023. "Applications of the Neutrosophic Poisson Distribution for Bi-Univalent Functions Involving the Modified Caputo’s Derivative Operator" Fractal and Fractional 7, no. 1: 35. https://doi.org/10.3390/fractalfract7010035

APA Style

Santhiya, S., & Thilagavathi, K. (2023). Applications of the Neutrosophic Poisson Distribution for Bi-Univalent Functions Involving the Modified Caputo’s Derivative Operator. Fractal and Fractional, 7(1), 35. https://doi.org/10.3390/fractalfract7010035

Article Metrics

Back to TopTop