1. Introduction
Due to their significance in mathematical analysis, functional analysis, physics, and other subjects, special functions are those functions that have generally established names and notions. Although there is not a single formal definition for all these mathematical functions, the list includes several generally recognized as special. Elementary functions, particularly trigonometric functions, are considered special functions. With the help of Gauss, Jacobi, Klein, and many others, the theory was largely developed in the nineteenth century. Special functions have been employed for ages due to their extraordinary qualities. For instance, trigonometric functions have been used for over a thousand years due to their numerous astronomical applications. Since the beginning of the twentieth century, disciplines including topology, algebra, differential equations, real and functional analysis, and special functions have taken center stage. Nevertheless, a book written by G.N. Watson [
1] was published then and is a crucial contribution to the theory, particularly in the context of asymptotic expansions of Bessel functions. As a classic today, special functions such as hypergeometric and Bessel functions are often utilized in statistics, probability, mathematical physics, and engineering disciplines due to their amazing features. Because of this, Paul Tur’an, a Hungarian mathematician, thought the term “special functions” was misleading and that the more accurate term would be useful functions.
A special function known as the Mittag-Leffler (ML) function arises naturally in the solution integral equations of fractional order and is acclaimed as the queen function of fractional calculus. The increased interest in this function over the past few years is mostly because of its strong connection to fractional calculus and, in particular, to fractional difficulties that arise in applications. In recent decades, the ML function and its various extensions have been used successfully to solve various problems in physics, engineering, chemistry, biology, and other practical disciplines, increasing its visibility among scientists. The study of these functions’ analytical features has generated a sizable body of literature; many authors have looked into these functions from a mathematical perspective [
2].
The ML function 
 of two parameters, which can be regarded as a simple extension of the classical ML function, is provided as 
The Mittag-Leffler functions described in (1) originally appeared in Wiman’s [
3] work. These functions were later investigated by Agarwal [
4].
In 1949, Russian researcher Yuriy Nicholaevich Rabotnov, who carried out work in solid mechanics consisting of a broad range of topics, including creep theory, plasticity, heredity mechanics, nonelastic stability, failure mechanics, shell theory, and composites, introduced a function by utilizing 
. Today, it is recognized in his name as the Rabotnov fractional exponential function [
5] or simply Rabotnov function. It is provided as 
It is clear that this series will converge at any argument value. Note that it becomes the typical exponential 
 for 
. The following is a possible way to express the relationship between 
 and 
:
The fact that  is a fractional extension of the fundamental functions is another significant and intriguing aspect of these functions. That is, , , , 
The Rabotnov fractional exponential function is utilized by Yang et al. [
6] to introduce a fractional derivative with a nonsingular kernel.
Definition 1.  The following represents the fractional derivative with Rabotnov exponential kernel of the function , of order swith    and   The following definition presents the integral representation of the fractional derivative with a Rabotnov exponential kernel.
Definition 2.  The fractional integral with Rabotnov exponential kernel of the function , of order s is provided bywith    and   Special functions like hypergeometric, Bessel, and Mittag-Leffler play a significant role in function theory. The solution of the classic Bieberbach conjecture may be the most well-known use of these functions in the theory. Due to the unexpected application of hypergeometric functions by L. de Branges, there has been much interest in the geometric characteristics of generalized, Kummer, and Gauss hypergeometric functions and certain other functions in recent years. Although the geometric characteristics of these functions are intriguing in and of themselves, they have proven useful in numerous other function theory problems.
The geometric characteristics and uses of the function 
 and some related functions have recently piqued scholars’ curiosity. It is natural to provide some recent developments on the geometric properties of ML functions as the function 
 can be written in the form of 
 Some geometrical characteristics of Mittag-Leffler functions were discussed by Bansal [
7]. Partial sums of these functions were the focus of Raducanu’s [
8] work. Noreen et al. [
9,
10,
11] studied the geometric properties of this function extensively, whereas Das and Mehrez [
12] improved the results of Noreen et al. Srivastava et al. [
13] studied a three-parameter Mittag-Leffler function.
The upcoming sections are organized as follows: 
Section 2 starts with some basic definitions of concepts of geometric functions theory and Hardy spaces, followed by some important lemmas that are useful in our discussions in the next sections. Lastly, we provide brief discussions pertaining to the normalized form of Rabotnov functions and some recent work on the geometric properties of this function. In 
Section 3, we state and prove the main theorems related to the study of geometric properties of the Rabotnov function along with examples. In 
Section 4, Hardy spaces are demonstrated, along with final remarks.
  2. Preliminaries
The following well-known definitions are required for our study.
Denote by 
, the class of analytic functions in 
 and 
 a subclass of 
, which contains functions 
f of the form 
Let 
 stand for the class of all functions in 
 that contains univalent (one-to-one) functions in 
. Consider 
f, 
. Then, 
f is subordinated by 
g and symbolically written as 
 if there exists a function 
w known as Schwarz function that has the property that it is an analytic self map in 
 with 
 such that 
 Additionally, if 
g is one-to-one in 
, then the analogous relation shown below holds:
Let 
 be analytic in 
 and provided by (2) and 
 is analytic in 
. Then, convolution (Hadamard product) of these functions is provided by 
Let  and  be subclasses of , which, respectively, represent strongly starlike and convex functions of order .
Definition 3.  A function ,  if and only if  Definition 4.  A function  if and only if  It is noted that  and  where  and  are familiar classes of starlike and convex functions, respectively. Similarly,  and  denote the classes of stalike and convex functions of order  We define these as follows:
Definition 5.  A function  if and only if  Definition 6.  A function  if and only if and  Rosy et al. [
14] introduced a subclass of 
. It is denoted by 
.
Definition 7.  A function  is in  if and only if  We denote by  a class of uniformly convex functions in .
Definition 8.  A function f is in  if and only if  Definition 9  ([
15])
. The classes  and  are defined as and where ,  For  the classes  and  are denoted by  and , respectively. Also, for  and  we have the classes  and .
Let 
 represent the space of functions on 
, which are bounded in 
. This set represents a Banach algebra with norm provided by 
The space of all those functions 
 such that 
 admits a harmonic majorant is denoted by 
. If the norm of 
f is given to be 
p-th root of the least harmonic majorant of 
 for some fixed 
, then it is a Banach space. Another definition of norm is provided as follows. Let 
, set 
Then, 
  if 
 is bounded for all 
 We see that 
From [
16], if 
 in 
, then 
Our aim in this study is to determine sufficiency criterion for Rabotnov function to be uniformly convex, strongly starlike, strongly convex, and demonstrate Hardy spaces of Rabotnov function.
The Rabotnov function 
 is not in class 
; therefore, consider the transformation 
 such that 
 provided by 
The geometric properties of 
 have recently been discussed by Eker and Ece [
17] and Eker et al. [
18]. Partial sums of generalized function of 
 have been studied by Frasin [
19]. Amourah et al. [
20] have studied certain subclasses of bi-univalent functions involving the function 
 Deniz and Kazimoglu [
21] studied Hardy spaces by using a different technique for this function.
In this study, we restrict ourselves such that s and  are real.
We require the following results for our study.
Lemma 1  ([
22])
. If ,  and of the form (2), then  Lemma 2  ([
17])
. Let  and . Then,  Lemma 3  ([
23])
. Let g and  be analytic functions in  with  Let g be univalent and convex in  and  in . Then,  Lemma 4  ([
24])
. If  satisfies  then  Lemma 5  ([
25])
.  where  with  and γ has the best possible value. Lemma 6  ([
26])
. For  and  we have  or equivalently  Lemma 7  ([
27])
. If the function f, convex of order γ, where  is not of the form where m,  and  then the following claims are true: - (i) 
- There exists  such that  
- (ii) 
- If  then there exists  such that  
- (iii) 
- If  then  
   3. Main Results
Theorem 1.  If  and  and  then  whereand   Proof.  By using a result due to [
17], we have 
For 
 and from (4) 
 we concluded that 
For 
 by using Lemma 3, with 
 and 
 we obtain 
By using (5) and (6) 
 we obtain 
Which implies that  for  □
 In the following, we provide a few examples by taking particular values of s and 
Example 1.  - The function  where  
- The function  where  
- The function  where  
- The function  where  
 Theorem 2.  If  and  and  then  wherewith   Proof.  For 
 and from (7) 
 we concluded that 
For 
 by using Lemma 3 with 
 and 
 we obtain 
By using (8) and (9) 
 we obtain 
Which implies that  for  □
 Example 2.  - The function  where  
- The function  where  
- The function  where  
 Theorem 3.  Let  and  and  Then 
 Proof.  By using the result 
 due to [
17] and by using Lemma 4, we have 
 if 
 which is equivalently 
 Hence, the required result. □
 Example 3.  - The function . 
- The function . 
- The function . 
 Theorem 4.  Let  Then,  if  Proof.  Now, differentiating 
 and putting 
 we obtain 
For 
 by using Lemma 1, we show that 
Then, writing 
 and 
 we have 
From (11)–(13), we obtain 
The above relation is bounded above by 1 if (10) is satisfied. This leads to the result. □
 Theorem 5.  Let    and  Then, 
 Proof.  It is a well-known result from [
28] that 
 is provided by (2) and satisfies 
  and then 
 To prove that 
 consider 
Then, we have to show that 
 By using the inequality 
 we may write 
This proves the result. □
 Example 4.  - (i) 
- (ii) 
- (iii) 
- (iv) 
 In 
Figure 1, we provide the mappings of functions in 
 provided in Example 4.
Theorem 6.  Let   
- (a) 
- (b) 
- If  then  
 Proof.  - (a)
- It is a well-known result from [ 28- ] that function  -  of the form (2) satisfies  -  and then  -  To prove that  -  consider  
- Then, we have to show that  -  By using the inequality  -  we may write  
- This proves the result. 
- (b)
- To show that  -  we consider the function  -  We prove that  -  Now,  
- This completes the result. 
□
 Corollary 1.  Let   
- (a) 
- Ifthen  
- (b) 
- If  then  
 Corollary 2.  Let   
- (a) 
- (b) 
- If  then  
 Example 5.  - (i) 
- (ii) 
- (iii) 
- (iv) 
 In 
Figure 2, we provide the mappings of functions in 
 provided in Example 5.
Example 6.  - (i) 
- (ii) 
- (iii) 
- (iv) 
 In 
Figure 3, we provide the mappings of functions in 
 provided in Example 6.
  4. Hardy Spaces of Rabotnov Functions
Hardy spaces of certain special functions have been studied by various authors. For instance, Ponnusay [
26] studied the problem for hypergeometric functions. The same problem by using the technique by Ponnusay for Bessel functions was used by Baricz [
15]. Hardy spaces of generalized Struve functions were studied by Yagmur and Orhan [
29]. The same problem for the case of Lommel functions was discussed by Yagmur [
30]. Hardy spaces of ML functions are discussed in [
9,
31].
Theorem 7.  Let    and Then,
- (i) 
-  for  
- (ii) 
-  for  
 Proof.  Since 
 therefore, 
 where 
  and 
 is any real number. Also, we have 
Hence,  cannot be written in the forms  for  and  for , respectively  By using Theorem 6 (a),  therefore, an application of Lemma 7 leads to the required result. □
 Theorem 8.  Let   and , and then  ∈ 
 Proof.  It is given that 
, which implies that 
. Let 
 Now, using the definition of convolution 
By applying Corollary 2 (b), it is evident that 
 Therefore, by using Lemma 5, 
 By using (3) 
 it follows that 
 for 
 and 
 for 
 This shows that 
 Moreover, we see that 
Now, by using a result due to Macgregor [
32] (p. 533, Theorem 1) on the coefficients for the class 
, 
  and the inequality 
 we may write 
This shows that the series provided above absolutely converges in 
 for the given condition. Also, by using [
16] (p. 42, Theorem 3.11), the result 
 implies the continuity of 
h on closure of 
. Therefore, 
h is bounded. This completes the result. □
 Theorem 9.  Let  and . If  , and then  where 
 Proof.  It is given that 
 which implies that 
 Let 
. Then, it easy to see that 
Now, by using Theorem 6  we have  By using Lemma 6 and the given condition  we have  where . Hence, . □
 Corollary 3.  Let  If   then 
 Corollary 4.  Let  If  then 
 Example 7.  We see that the functionis in . We see that  (see Figure 4a). Also, for  by using Theorem 8, . Now, take   and, utilizing Theorem 8, consider Here, Figure 4b shows that  Also,  (Figure 4c) for . This implies that . Hence, .  In 
Figure 4, we provide the mappings of functions in 
 provided in Example 7.
  
    
  
  
    Figure 4.
      Mappings of functions over  provided in Example 7. (a) Mapping of  over ; (b) mapping of  over ; (c) mapping of  over .
  
 
   Figure 4.
      Mappings of functions over  provided in Example 7. (a) Mapping of  over ; (b) mapping of  over ; (c) mapping of  over .
  
 
Example 8.  Now, take   and, utilizing Theorem 8, consider Here, Figure 5a shows that  Also,  (Figure 5b) for . This implies that . Hence, .  Example 9.  We take   and, utilizing Theorem 8, consider Here, Figure 5c shows that  Also,  (Figure 5d) for . This implies that . Hence, .  In 
Figure 5, we provide the mappings of the above-presented examples in 
.
  5. Conclusions
We have studied various geometric properties of normalized Rabotnov functions in . In particular, we have found conditions on parameters so that the function  is uniformly convex, strongly starlike, and strongly convex. Furthermore, we have discussed the starlikeness and convexity of order  We have also studied conditions so that the Rabotnov functions belong to the class of bounded analytic functions and Hardy spaces. Various consequences of these results are also presented by taking particular values of the parameters s and u. These examples are also illustrated by the figures. The results presented here provide a variety of particular examples.
By applying these techniques, similar kinds of results can be obtained for functions that can be represented by the Taylor series. Some other geometric properties such as close-to-convexity, prestarlikeness, and inclusions in some other subclasses of univalent functions can further be studied. Moreover, radii problems for various classes of analytic functions can be discussed.