Al-Azhar University-Gaza Deanship of Postgraduate Studies Faculty of Science Department of Mathematics A Study on -Bessel Type Functions with Applications by Noor Nidal Khattab Supervisors Prof. Dr. Tariq O. Salim Dr. Ghazi S. Khammash A THESIS Submitted in Partial Fulfillment of the Requirements of The Degree of Master of Science in Mathematics 2021-2022 Dedication This thesis is dedicated to: The sake of Allah, my Creator and my Master. My great teacher and messenger, Mohammed (May Allah bless and grant him), who taught us the purpose of life. My great parents, who have never failed to give us financial and moral support, for giving all our needs during the time we developed our system and for teaching us that even the largest task can be accomplished if it is done one step as a time. My beloved brothers and sisters, who stand by me when things look bleak. My friends who encourage and support me. All the people in my life who touch my heart, I dedicate this research. II Acknowledgment All thanks and appreciation are being to The Almighty Allah, who helped me to accomplish this modest work, which I hope will benefit all people. I offer my sincere thanks and gratitude to everyone who helped me, and was a light that shined the way for me, and here I especially mention Prof. Dr. Tariq O. Salim and Dr. Ghazi S. Khammash for their kindness in accepting to supervise this humble work, and for all the advice and instructions they gave me, which were like a beacon in all my steps. To them all, I send all my thanks and gratitude. III Abstract In this thesis, we define a new type of -Bessel function using the gamma function. And get the various formulation terms of others special function. In chapter one we display the most important definition and theorem which one used this study. In chapter two we define new genialized K-Bessel type and provide some integral transform and also discussed some other transforms as special cases of our main result. In chapter three we study monoticity properties and log- convexity of the function which consists of the ratio of two different orders K-Bessel function. Finally in chapter four we develop fractional kinetic equation involving generalized -Bessel function via Laplace transforms and Sumudu transform. Also, the graphical interpretation of the solution by employing MATLAB is given. IV الملخص في ىذه انذراسة قًنا تتؼزيف نٌع جذيذ ين دانة -Kتيسم تاستخذاو دانة -Kجايا. في انفصم األًل قًنا تؼزض أىى انتؼزيفات ًاننظزيات انًستخذية في ىذه انذراسة. في انفصم انثاني ػزفنا دانة -Kتيسم ًقًنا تذراستيا ػهى تؼط تحٌالت انتكايم ًحصهنا ػهى نتائج ين ىذه اننظزيات. في انفصم انثانج قًنا تذراسة انتزايذ ًانتناقص ًانتحذب انهٌغاريتًي نذانة يكٌنو ين نسثو تين دانتين ين -Kتيسم يختهفتين في انزتة. أخيزا في انفصم انزاتغ قًنا تصياغة يؼادالت انحزكة استخذاو دانة -Kتيسم ًقًنا تحم ىذه انًؼادالت تاستخذاو تحٌيم التالس ًسٌيٌدً ً فسزنا ىذه اننتائج تاستخذاو تزنايج انًاث الب. V Contents Dedication .................................................................................................. II Acknowledgment ......................................................................................III Abstract .................................................................................................... IV انًهخص......................................................................................................... V Chapter One:Some Basic Theory ...............................................................1 1.1Introduction and Preliminaries…………………………………....2 1.2Some Definitions of Integral Transforms.......................................4 1.3 Special Functions………………………………………………...7 1.4 Riemann-Liouville Fractional Calculus.........................................9 1.5 Fractional Kinetic Equation..........................................................10 1.6 Inequality……………….……………………………………….12 Chapter Two:Integral Transforms Involving a Generalized -Bessel Function ....................................................................................................13 2.1 Introduction……………………………………………………..14 2.2 Some Integral Transform of -Bessel Function………………...14 Chapter Three: Monotonicity and Properties of Log Convex - Bessel Function ....................................................................................................27 3.1 Basic Properties of Convex Functions………………………….28 3.2 Properties of Log Convex - Bessl Function.............................32 Chapter Four:Certain Fractional Kinetic Equation Involving the -Bessel Function ....................................................................................................43 4.1Introduction……………………………………………………...44 VI 4.2 Fractional Kinetic Equations Involving Generalized -Bessel Function via Laplace Transform ...............................................................44 4.3 Fractional Kinetic Equations Involving Generalized -Bessel Function via Sumudu Transform ..............................................................54 References .................................................................................................66 VII Chapter One Some Basic Theory 1 1.1 Introduction and Preliminaries Bessel functions are named for Friedrich Wilhelm Bessel (1784 1846), an investigation which was further developed by Lord Rayleigh in 1878, where he demonstrated that Bessel's functions are particular cases of Laplace's functions. [21] Bessel, while receiving named credit for these functions, did not incorporate them into his work as an astronomer until 1817. The Bessel function was the result of Bessel's study of a problem of Kepler for determining the motion of three bodies moving under mutual gravitation. [21] The notation was first used by Hansen [21] (1843) and subsequently by Schlomilch [52] (1857) and later modified to by Watson (1922). Subsequent studies of Bessel functions included the works of Mathews [36] in 1895, “A treatise on Bessel functions and their applications to physics” written in collaboration with Andrew Gray. It was the first major treatise on Bessel functions in English and covered topics such as applications of Bessel functions to electricity, hydrodynamics and diffraction. In 1922, Watson first published his comprehensive examination of Bessel functions “A Treatise on the Theory of Bessel Functions” [58]. By mentioning some notations with some results and definitions used in this thesis. The Bessel functions of the first kind are defined by their power series representation as [47] ∑ The ( ) -Bessel function of the first kind has been generalized and discussed in [47] and defined as 2 ∑ ( ) ( where ) and A more general the -Bessel function of the first kind is defined by the following series [47] ∑ ( ) where and Here Pochhammer symbol defined as [17] the well-known { } , while refer to denotes the gamma function defined by [32] ∫ The - gamma function has the relation ( ) where Here if . refer to the well-known Gamma function defined by Euler's integral as follows [54] ∫ Also, equivalently, the generalized -Bessel function of the first kind has been introduced by [40] is in the form 3 ∑ ( ) ( ) where and and is -Pochhammer symbol. We introduce the generalized Bessel function of the first kind in the following form ( ) ∑ ( ) for and and are the where Pochhammer symbol. Note that ( ) ∑ ∑ ( ) 1.2 Some Definitions of Integral Transforms In this investigation, the following integral transforms are applied to get the images of generalized - Bessel function under study. Definition 1.1 Euler transform of the function { } is defined by [54] ∫ where 4 Definition 1.2 is defined by [54] Laplace transform of the function { } ∫ Definition 1.3 The Sumudu transform of the -Bessel function is given by [54] [ ∫ ] ∫ ( ) ∑ ( ) ∫ ∑ ( [ ] ( ) ) ∑ ( ) Definition 1.4 The inverse of Sumudu transform is given by [54] [ ] ( ) *∑ ( [ ] + ) ( ) ∑ ( ) Definition 1.5 The - transform with as a complex parameter defined by [58] 5 { } where ∫ and is the Bessel function of the second kind defined by [55] as ( where ) is the Whittaker function. we needed the following formula [36] ∫ ( ) where Definition 1.6 We recall here the following results known as Whittaker transform [64] ( ∫ where and ) ( ) is the Whittaker function [60] (see e.g. [36]), ( where ) ( ) is the confluent hypergeometric function written as ( ) Also, we have the transformation formula ∫ 6 1.3 Special Functions Some special functions are used and applied to get some results in this investigation. We mention these special functions as follows. Definition 1.7 [54] The Beta function is define by ∫ Hint: Let then ∫ The relation between Gamma and Beta functions: Theorem 1.8 [54] If , then . Definition 1.9 [54] Mittag-Leffler function of two parameters is defined as ∑ and when we get the Mittag-Leffler function of one parameter ∑ Definition 1.10 In [55] the generalized hypergeometric function is written as 7 ∑ ∏ ∏ provided and where known Pochhammer symbol. Definition 1.11 Also, Fox-Wright generalization of hypergeometric function [18,57, 59]: * + ∑ ( ( ) ( ) ( ) where ∑ ) , and ∑ for suitably bounded value of In [20] the generalized -Wright function defined for and is written as [ ( ) ] ∑ ∏ ∏ ( ) Definition 1.12 The generalized Lommel-Wright function [41] is defined as ( ) ∑ ( ) ( ) 8 as Prieto et al. [45] obtained some results related to fractional calculus operators of generalized Lommel-Wright function. Konovska [41] studied convergence of series involving generalized Lommel-Wright function. It is observed that for , generalized Lommel-Wright function (4.10) reduces to generalized Bessel function ( ) [42]: ( ) ∑ 1.4 Riemann-Liouville Fractional Calculus In this section we presentation the application of Sumudu transform as well as Laplace transform to solve some fractional order differential using Riemann Liouville differential operator. The theory of fractional calculus is mainly based upon the study of the well-known Riemann Liouville integral and derivative operators defined as follows. Definition 1.13 (Fractional integral operator) [42] The Riemann-Liouville fractional integral order defined by ∫ Definition 1.14 (Fractional derivative operator) [42] The Riemann-Liouville fractional derivative of order is defined by ( ) ∫ 9 is Laplace transform of the basic fractional operator (a) The Laplace transform of the Riemann-Liouville integral of order , is given by [33] { } (b) The Laplace transform of Riemann-Liouville fractional differential operator of order { , is given by [33] } ∑ for [ ] . Sumudu transform of the basic fractional operator a) The Sumudu transform of the Riemann-Liouville fractional derivative of { of order , is given by [28] } ∑ [ ] b) The Sumudu transform of Riemann-Liouville fractional integral of of order { is given by [44] } 1.5 Fractional Kinetic Equation In recent years, fractional kinetic equations gained remarkable interest due to their applications in astrophysics and mathematical physics. The extension and generalization of fractional kinetic equations involving many fractional operators were found [1,6-7, 23-26, 35, 49, 51, 60]. Haubold and Mathai [23] established a fractional differential equation between rate of change of the reaction, the destruction rate and the production rate as follows: 10 where is the rate of reaction, is the rate of destruction, is the rate of production and denotes the function defined . A special case of (1.37) when spatial fluctuations or inhomogeneities in are neglected, is given by the following differential equation [23,34] with the initial condition species at time is the number of densities of the . If we remove the index and integrate the standard kinetic equation (1.38), we have where is standard fractional integral operator. Haubold and Mathai [23] obtained the fractional generalization of the standard kinetic equation (1.39) as where is Riemann-Liouville fractional integral operator. Solution of equation (1.40) is given by [23] ∑ Further, Saxena and Kalla consider the following fractional kinetic equation ( where ) denotes the number density of a given species at , is the number density of the species at 11 , is constant and 1.6 Inequality Young’s inequality [13] If a,b ≥ 0 , p,q >0 , + = 1 then ab ≤ + 12 (1.41) Chapter Two Integral Transforms Involving a Generalized -Bessel Function 13 2.1 Introduction In special function some polynomials and functions have importance in mathematical field also in engineering, applied sciences, biology, chemistry, and physical sciences. One of the important functions is the Bessel function which has been developed to new class called -Bessel function which motivate the future research work in special functions and its applications in different fields. recently, Ali et al. [3], Ghayasuddin and Khan [20], Khan et al. [29, 30, 31] and Nisar et al. [39] gave certain interesting new class of integral formulas involving some types of the generalized Bessel functions, which are expressed in terms of the generalized (Wright) hypergeometric function. 2.2 Some Integral Transform of -Bessel Function We introduce the generalized -Bessel function of the first kind in the following form ( ) ∑ ( ) for and and are the -Pochhammer symbol. Note that: ( ) ∑ 14 where The integral transforms for generalized -Bessel functions such as Euler, Laplace, Whittaker… etc. are listed in the following theorems. Theorem 2.1 If and { ( ) ( ) ( ( ) ∫ )} then ( ) ( ) ( ) [ ] ( where ) ( ) is the Wright hypergeometric function (1.25). Proof: ∫ ( ∫ ) ∑ ( ) ( ) ∑ ( ) ( ) ∫ ∑ Now by using (1.4) we get 15 ∫ ( ) ∑ ( ) ( ) Now using (1.6) we get ∫ ( ( ) ∑ ) ( ) ⁄ ( ) ( ) ( ( ) ) ( ) ( ) ( ∑ ) ( ( ) ( ) ) From (1.25) we have ∫ ( ) ( ) ( ) Moreover, if we set ( ) [ ] ( ) ( in above theorem we get the following result contained in: 16 ) Corollary 2.2 If and } { then ∫ ( ) When * ( and + ) then we get Corollary 2.3 If { and ( ) ( )} ( ) the ∫ ( ) * is −Bessel function defined by (1.2) and where + is the Wright hypergeometric function (1.3). Lemma 2.4 If { and } have ∫ Proof: Let . 17 then we Then ∫( ) ∫ ( ) In view of the definition of Laplace transform, we get ∫( ) Theorem 2.5 ( If { ( ) ) ( ) | | and } , then we have ∫ ( ) ( ) ( ) ( ) * + ( ) ( Proof: ∫ ∫ ⁄ ∑ ( ) ⁄ ∑ ( ∫ ) By lemma 2.4 18 ) ∫ ⁄ ∑ ( ) Now by applying (1.4) and (1.6) in above equation, we have ∫ ( ) ( ∑ ( ) ( ) ( ) ( ) ( ( ∑ Moreover, if we set ) ) [ ( ( ) ( ( ) ( ( ( ) ) ) ( ( ) ⁄ ) ] ) ( ) in above theorem we get the following result contained in: Corollary 2.6 { If and | | } then we have ∫ ( ) * ( ) 19 + ) ) Moreover, if we set in corollary above, we get the following result contained in: Corollary 2.7 { If and | | } then we have ∫ ( ) * ( + ) Theorem 2.8 ( , { ( ) ( ) ) } and then we have ∫ ( ) ( ( ) ) ( ) [ ( ) ] ( ) ( Proof: ∫ ∫ ∑ ( ( ) ( ) ∑ ( ∫ ) 20 ) ) Using (1.6) in above expression, we get ∫ ( ( ) )( ) ∑ ( ( ( ) ) ) ( ) ( )( ) ∑ ( ) ( ) ( ) ( ( ) ( ) ( ) ( )( ) ∑ ( ) ( ) and by using (1.15), we get ∫ ( ) ( ) ( ) ( [ ( ) ( ) ] ) ( ) which complete the proof of (2.10). Moreover, if we set in above theorem we get the following result contained in: 21 ) Corollary 2.9 , } ( ) { and then we have ∫ ( ( ) ) [ ] ( ) Theorem 2.10 If , { | | ( ) ( , ( ) } ) , , then we have ∫ ( )( ) ( ) ( [ ) ( ) ( ] ( ) ( Proof: By setting in the left side of (2.12) then we ∫ ∫( ) ) ( ( ) )( ) 22 ) ( ( ) ) ∫( ) ( )∑ ( ) ( ) ∑ ( ∫ ) ( ) ∑ ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ∑ ( ( ) ( ) ( ) in view of (2.3), we can obtain our result (2.15). Moreover, if we set in above theorem we get the following result contained in: Corollary 2.11 If , , { } ∫ 23 ,| | ( ) , then we have ) ( ) ( ) ( ) [ ] ( ) Theorem 2.12 ( , { | | ( ) ( ) ) } and , then we have ∫ ( ) ( ) ( ) ( ( [ ( ) ) ( ) ] ) ( ) ( ) Proof: ∫ in the previous integral, suppose that so ∫ 24 ∫( ) ( ( ) ) ∫( ) ( ) ∑ ( ( ) ) ( ) ∑ ( ( ) ∫ ) Now from (1.18) we get ∫ ( ) ( ) ∑ ( ) ( ) ( ) ( Now from (1.4) and (1.5) we get ) ∫ ( ) ( ∑ ( ) ( ( ( ) 25 ( ( ) ( ) ( ) ( ) ) ) ( ( ) ) ( ) ) ) ( ) ( ) ∑ ( ) ( ( ) ( ) ( ) ) ( ) ( ) ( ( [ ( ) ) ( ) ] ) ( Moreover, if we set ) ( ) in above theorem we get the following result contained in: Corollary 2.13 If ( , { ) } and | | , then we have ∫ ( ) ( ) ( ) [ ] ( ) ( ) 26 Chapter Three Monotonicity and Properties of Log Convex - Bessel Function 27 3.1 Basic Properties of Convex Functions Convex functions play an important role in many areas of mathematics. They are especially important in the study of optimization problems where they are distinguished by a number of convenient properties. For instance, a strictly convex function on an open set has no more than one minimum. Even in infinite-dimensional spaces, under suitable additional hypotheses, convex functions continue to satisfy such properties and as a result, they are the most well-understood functionals in the calculus of variations. In probability theory, a convex function applied to the expected value of a random variable is always bounded above by the expected value of the convex function of the random variable. This result, known as Jensen's inequality, can be used to deduce inequalities such as the arithmetic– geometric mean inequality and Hölder's inequality. Definition 3.1 [13] A function is called convex, if i) the domain of the function ii) for any is convex set ; and every one has If the above inequality is strict whenever and , is called strictly convex. Definition 3.2 [61] A function i) is said to be logarithmically convex (log-convex) if is convex or equivalently; 28 ii) for all [ and ] the two following inequalities hold, ( ) ( ) Theorem 3.1 [13] The sum of two log-convex function is log-convex. Proof: Let for all is log-convex is equivalent to and ( ) ( , since and ) are log-convex. We have the following estimate ( ) ( ) ( ) ( ) the claim follows by combining the above two inequalities together. Set and By dividing and then we need to show on both sides, we may assume that . Thus, it suffices to show For by Young's inequality, we see that Similarly, we have Combing these two inequalities together we obtain 29 Theorem 3.2 [13] Suppose are twice differentiable over an open domain. Then the following are equivalent i) is convex ii) For al ́ iii) For all Proof: We prove from (i) to (ii) then from (ii) to (iii) If is convex, by definition 2.1 [ for all ] and . After rewriting, we have ( [ for all ]. As ) , we get ́ Suppose inequality holds, for all and let we have ́ ́ 30 take any multiplying by and by and adding together, we get ́ Now, from to ( ) we prove both of these claims first in dimension 1 and generalized, Let and , we have ́ ́ ́ by using ́ then ́ for all . Dividing both sides by gives ́ and . As we let , we get ́ for all . suppose ́ When for all by the mean value version of Taylor's theorem, we have ́ ́ for some [ ] ́ Now to establish in general dimension, we recall that convexity is equivalent to convexity along all lines i.e., 31 is convex if is convex for all and for all , we just proved this happens if and only if ́́ ́ for all and for all Hence, such that . is convex if and only if for all 3.2 Properties of Log Convex - Bessel Function In the recent years many geometric and monotonic properties of some special functions. Especially, some inequalities and monotonic properties functions are useful in engineering, physics, probability and statistics, and economics. It is known that log-concavity and log-convexity properties have a crucial role in economics. Comprehensive information about the log-concavity and the log-convexity properties can be found in [37]. In this section, motivated by some earlier results which are given in [39, 57] our main aim is to present some monotonic and log-concavity properties of generalized k-Bessel functions. Now, we would like to give the definition of logarithmic concavity of a function. Definition 3.3 [37] A function function is said to be log-concave on interval is a concave function on To show log-concavity of a function on the interval sufficient to show one of the following two conditions: i. if the monotone decreasing on 32 . , it is ii. . Also, the following lemma due to Biernacki and Krzyż [11] will be used in order to prove some monotonic properties of the mentioned functions. Lemma 3.3 [11] ∑ Consider the power series where and for all . Further suppose that both series . If the sequence { converge on } is increasing (or decreasing), then the function decreasing) on ∑ and is also increasing (or . Proof: Suppose ∑ ∑ then ∑ ∑ ∑ ( ) ∑ the numerator of | which is | | | since ( | | is increasing. 33 | |) since and at the denominator of So . That conclude Then ∑ is increasing in . is increasing in Theorem 3.4 The following results hold true for generalization -Bessel function 1) For the function increasing on is for some fixed 2) For the function increasing on is for some fixed 3) The function . is log- convex on fixed and is decreasing for { and }. b) The function is decreasing on and . c) The function for ) Then a) The function for for some ( . Here 4) Suppose that [ . is decreasing on { and 34 }. Proof: (1) Suppose that ∑ ∑ ( ) ( ) ( ) ( ) ( )( ) ( )( ) ( )( ) ( )( ) By taking logarithmic for both sides ( )( ) ( )( ) ( )( ) ( )( ) Then the logarithmic differentiation ( ) ( ( ) ) ( ) ( ) ( ) ́ ( ) ( ) That yield, ( Here ( ) ( is the k-digamma function and defined by 35 )) ∑ where is the Euler-Mascheronis constant ∑ ∑ ( ) ( ) ∑ ∑ is increasing on if since , hence for all . This, in particular implies that the sequence { } { } increasing and hence the conclusion follows for lemma (3.3). (2) The result follow from lemma (3.3), if the sequence { } { } is increasing for Here, ( ) ( ) ( ) ( { ) ( } ( ) 36 ) is { } ( ) ( ) Which together with the identity { { } gives ( ) ( ) } where ( ) ( ) Take the logarithmic for above relation, we get ( ) ( ) Take the differentiation for above relation we get ( ) ( ́ ́ ) ( ) ( ( ) ) ( ) 37 ́ ́ ( ( ) ( )) ( ) ( ) If ( ( ) ( )) ( ) ( ) Then is increasing and consequently the sequence. { } is increasing. Finally, the result follows form lemma (3.3). (3) We know that sum of log-convex function is log-convex function by Theorem (3.1). Thus, to prove the result it is enough to show that ( ) ( ) ( ) is log-convex. A logarithmic represent ( ) ( ( ) ) A logarithm differentiation of with respect to 38 yields ( ( ) ( ) ( ) ) ( ) ( ( ) ( ) ∑ ( ) ( ( ) ( ( ) ) ) ( ( ( Since ( ) ( ) ( ∑ and ) ) ( ( for all ) ́ ( ) ∑ ∑ ( ) ) ( ∑ ( ) ) ( ) ) ) . by theorem (3.2) by definition (3.2) and remark we conclude is log-convex. 39 is convex. is log-convex hence ) (4) Denote ∑ and ∑ where ( ) ( with and the sequence { } To apple lemma (3.3) consider defined by ( ) ( ) ( ) Where ( ) Now let the logarithm for two sides ( ) ) 40 Algorithmic differentiation of with respect to ( ) ( yields ́ ́ ) ( ) and its follows that, view of increasing properties of { and and } the function and also, the sequence { decreasing on on } is is decreasing. By lemma (3.3) the function is decreasing. In the case (b) and (c) the sequence { } reduce to ( ) ( ) from case (a) ( ) Now let the logarithm for two sides ( 41 ) Algorithmic differentiation of ( with respect to yields ) ( ) ( ) ( ) ( ) Now for If ( ) inequality holds if required that { while for } 42 this it's Chapter Four Certain Fractional Kinetic Equation Involving the -Bessel Function 43 4.1 Introduction In recent years the solution of the fractional kinetic equations attracts the attention many workers due to their importance in the field of applied science such as astrophysics, dynamical systems, control systems and mathematical physics. The kinetic equations of fractional order have been used to determine certain physical phenomenon. Especially, the kinetic equations describe the continuity of motion of substance. Therefore, a large number of articles in the solution of these equations have been published in the literature. In view of great importance of the kinetic equation certain astrophysical problems have largely motivated our present study. The fractional differential equation between rate of change of the reaction, the destruction rate and the production rate were established by Haubold and Mathai [23] given as follows: 4.2 Fractional Kinetic Equations Involving Generalized -Bessel Function via Laplace Transform In this section, we have established further generalization of fractional kinetic equations involving -Bessel function. Solutions of these generalized fractional kinetic equations were obtained in terms of Mittag– Leffler function using Laplace transform. Some special cases also contain the generalized Bessel function and Struve function. Generalized Bessel, Lommel, Struve and Lommel-Wright function have originated from concrete problems in Mechanics, Physics, Engineering and Astronomy. 44 Kachhia and Prajapati [27] generalized fractional kinetic equation involving Lommel-Wright function and obtained solution explicitly in the following theorems: Theorem 4.1 [27] and | | If then the solution of equation is given by ∑ ( where ( ) ) is the generalized Mittag-Leffler function. Theorem 4.2 [27] and | | If then the solution of equation is given by ∑ where ( ) ( ) is the generalized Mittag-Leffler function. Theorem 4.3 [27] If | | and then the solution of equation 45 is given by ∑ ( ( ) where ) is the generalized Mittag-Leffler function. Now, we formulate our theorems and proofs for the solutions of fractional kinetic equations involving -Bessel type function under study as follows Theorem 4.4 ( ) If ( ) ( ) | | ( ) then the solution of equation is given by ∑ ( ) where is the generalized Mittag-Leffler function. Proof: Applying Laplace transform we have { { } } { ∫ } } ( ) ∑ ( { { } 46 ) { } { ∫ ∑ ( } ) { } ∑ ( { ) } ∑ ( ) Obtain that, ∑ { } ∑ ∑ ( ) Taking inverse Laplace transform ∑ {∑ ( ) ∑ ∑ ( ) 47 } ∑ ∑ ( ) ∑ ( ) Theorem 4.5 ( ) If ( ) | | ( ) then the solution of equation is given by ∑ ( ( ) ) where is the generalized Mittag-Leffler function. Proof: Applying Laplace transform we have { } { } { } { } ( ∫ ∑ ( { { ) ) } } ∫ ∑ ( ) 48 { } ∑ { } ( ) ( ) ∑ We obtained know, ∑ { } ( ) ∑ ∑ ( { ) } ( ) ∑ ∑ ( ) Taking inverse Laplace transform ( ) ∑ {∑ ( ) ( ) ∑ ∑ ( ) 49 } ( ) ∑ ∑ ( ) ( ) ∑ ( ) Theorem 4.6 If | | and then the solution of equation is given by ∑ ( ( where ) ) is the generalized Mittag-Leffler function. Proof: Applying Laplace transform we have { } { } { } { } ( ∫ ) ∑ ( { ) } 50 { } ∫ ∑ ( { ) } ∑ { } { ( ) ( ) ∑ } ( ) ∑ ∑ ( ) Taking inverse Laplace transform ( ) ∑ {∑ ( } ) ( ) ∑ ∑ ( ) ( ) ∑ ∑ ( ) 51 ∑ ( ( ) ) Corollary 4.7 If and then the solution of equation is given by ∑ ( ) 𝑘 𝑘 𝑘 𝑘 Figure 4.1: (Graph of equation 4.14) Corollary 4.8 If and solution of equation is given by 52 then the ( ) ∑ 𝑘 𝑘 𝑘 𝑘 Figure 4.2: (Graph of equation 4.16) Corollary 4.9 If and the solution of equation is given by ∑ ( ) 53 then 𝑘 𝑘 𝑘 𝑘 Figure 4.3: (Graph of equation 4.18) 4.3 Fractional Kinetic Equations Involving Generalized -Bessel Function via Sumudu Transform Principle aim of this section is to develop fractional kinetic equations involving generalized -Bessel function via Sumudu transform. Bessel functions and their extensions are very important in application point of view. Recently many authors study extensions of Bessel functions and study various properties using different approaches [12,14-16] Romero et al. [48] introduced and study the -Bessel function of the first kind as follows: ∑ where ( ) and 54 Here, we intorduce more generalized using the -Pochhammer symbol -Bessel function in the following form: [17] ( ) ∑ ( where ) and Recently, Watugala [62,63] introduced Sumudu integral transform is defined as follows [4,5,9,10] [ where set ] ∫ is the class of exponentially bounded functions : { and and are some positive real constants. The Sumudu transform is the theoretical dual of the Laplace transform defined by [ ] ∫ We will investigate the solution of the generalized fractional kinetic equations by considering generalized -Bessel function. Agarwal et al. [2] generalized fractional kinetic equation is stablished as: Theorem 4.10 If and then the solution of equation is given by the following formula 55 ∑ ( ) ( where ) is the generalized Mittag-Leffler function. Theorem 4.11 If and then the solution of equation is given by the following formula ∑ ( ) ( ) where is the generalized Mittag-Leffler function. Theorem 4.12 If and then the solution of equation is given by the following formula ∑ ( ) ( ) where is the generalized Mittag-Leffler function. 56 Now, we find the solution to the generalization of fractional kinetic equations. Theorem 4.13 ( ) If ( ) ( ) | | then the solution of equation is given by ( ) ∑ ( where ) is the generalized Mittag-Leffler function. Proof: Applying the Sumudu transform we have { } { } { } { ( ) {∑ ( { ∫ } ) } ( ∑ ( ) ) 57 } ∫ ∑ ( ) ∑ ( ) ∑ ∑ ( ) ∑ ∑ ( ) Taking inverse { } ∑ {∑ ( ) ∑ ∑ ( ) ∑ ∑ ( ) ( ) ∑ 58 } Theorem 4.14 ( ) If ( ) | | ( ) then the solution of equation is given by ( ) ∑ ( where ) is the generalized Mittag-Leffler function. Proof: Applying the sumudu transform, we have { } ( ) ∑ ( { { ) } ( ∫ } ) ∑ ( ) ( ) ∫ ∑ ( ) 59 ( ) ∑ ( ( ) ) ∑ ∑ ( ) Taking inverse { } ( ) ∑ {∑ ( ) ( ) ∑ ∑ ( ) ( ) ∑ ∑ ( ) ( ) ∑ ( ) Theorem 4.15 If | | and then the solution of equation 60 } is given by ∑ ( ( where ) ) is the generalized Mittag-Leffler function. Proof: Applying the Sumudu transform { } ( ) ∑ { ( { ) } ( ∫ } ) ∑ ( ) ∫ ∑ ( ) ∑ ∑ ( ) Taking inverse Sumudu transform { } ∑ {∑ ( ) 61 } ( ) ∑ ∑ ( ) ( ) ∑ ∑ ( ) ( ) ∑ ( ) Corollary 4.16 If and solution of equation is given by ∑ ( ) 62 then the 𝑘 𝑘 𝑘 𝑘 Figure 4.4: (Graph of equation 4.37) Corollary 4.17 If and solution of equation is given by ∑ ( ) 63 then the 𝑘 𝑘 𝑘 𝑘 Figure 4.5: (Graph of equation 4.39) Corollary 4.18 If and the solution of equation is given by ∑ ( ) 64 then 𝑘 𝑘 𝑘 𝑘 Figure 4.6: (Graph of equation 3.41) 65 References [1] Agarwal P., Chand M. and Singh G., (2016): "Certain fractional kinetic equations involving the product of generalized k-Bessel function", Alexandria Eng. J., vol. 55 (4), pp. 3053–3059. [2] Agarwal P., Ntouyas S. K., S. Jain, Chand M. and Singh G., (2018): "Fractional kinetic equations involving generalized Bessel function via Sumudu transform", Alexandria Engineering Journal, vol. 57, pp. 1937–1942. [3] Ali M., Khan W. A. and Khan I. 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