Quantum Calculus with the Notion δ ± -Periodicity and Its Applications Quantum Calculus with the Notion δ (cid:1) -Periodicity and Its Applications

The relation between the time scale calculus and quantum calculus and the δ (cid:1) -periodicity in quantum calculus with the notion is considered. As an application, in two-dimensional predator – prey system with Beddington-DeAngelis-type functional response on periodic time scales in shifts is used.


Introduction
The traditional infinitesimal calculus without the limit notion is called calculus without limits or quantum calculus. After the developments in quantum mechanics, q-calculus and h-calculus are defined. In these calculi, h is Planck's constant and q stands for the quantum. These two parameters q and h are related with each other as q ¼ e ih ¼ e 2πih : This equationh ¼ h 2π is the reduced Planck's constant. h-calculus can also be seen as the calculus of the differential equations, and this was first studied by George Boole. Many other scientists also made some studies on h-calculus, and it was shown that it is useful in a number of fields, among them, combinatorics and fluid mechanics. The q-calculus is more useful in quantum mechanics, and it has an intimate connection with commutative relations [1]. In the following, the main notions and its relation to the time scale calculus will be discussed.
In [2], in classical calculus when the equation is considered and as x tends to x 0 , the differentiation notion is obtained. When the differential equations are considered, the difference of a function is defined as f x þ 1 ð ÞÀf x ð Þ: In quantum calculus, the q-differential of a function is equal to the following: Then the q-derivative is defined as follows: The differentiation in time scale calculus is given in Theorem 1, and if the differentiation notion in this theorem is applied when T ¼ q N , one can easily see that the same q-derivative is obtained.
As an inverse of q-derivative, one can get q-integral that is also very significant for the structure of this calculus.
This is also called the Jackson integral [3]. When the definition of the antiderivative of a function in time scale calculus is considered, it can be easily seen that when T ¼ q N0 , these two definitions become equivalent. Therefore, to understand the quantum calculus, it is very important to understand the time scale calculus. In addition to these, the δ AE -periodicity notion in time scale calculus is defined in Definition 1 in [4] for the application. In this study, by using time scale calculus, the application of δ AE -periodicity notion of q N , which overlaps with the q-calculus, to a predator-prey system with Beddington-DeAngelis-type functional response is studied.
To understand this application in a much better sense, the following information about the predator-prey dynamic systems is given. Predator-prey equations are also known as the Lotka-Volterra equations. This model was initially proposed by Alfred J. Lotka in the theory of autocatalytic chemical reactions in 1910 [5,6] which was effectively the logistic Equation [7] and originally derived by Pierre Françis Verhulst [8]. In 1920, Lotka extended this model to "organic systems" by using a plant species and a herbivorous animal species. The findings of this study were published in [9]. In 1925, he obtained the equations to analyze predator-prey interactions in his book on biomathematics [10] arriving at the equations that we know today.
After the development of the equations for predator-prey systems, it becomes important to obtain the type of functional response. The first functional response was proposed by C. S. Holling in [11,12]. Both the Lotka-Volterra model and Holling's extensions have been used to model the moose and wolf populations in Isle Royale National Park [13]. In addition to these, there are many studies that use the predator-prey dynamic systems with Holling-type functional responses. These studies especially analyze the permanence, stability, periodicity, and such different aspects of these systems. The papers [14], [15,16] can be some of its examples.
Arditi and Ginzburg made some changes and extension on the functional response of Holling, and this new functional response is known as the ratio-dependent functional response. Also, from this functional response, the semiratio-dependent functional responses are also derived. Again, there are many studies that are about the several structures of the predator-prey dynamic systems such as [14,[17][18][19], [20,21].

Preliminaries about time scale calculus
The main tool we have used, in this study, is time scale calculus, which was first appeared in 1990 in the thesis of Stephen Hilger [22]. By a time scale, denoted by T, we mean a non-empty closed subset of R: The theory of time scale calculus gives a way to unify continuous and discrete analysis.
The following informations are taken from [14,23]. The set T κ is defined by T κ ¼ T= r supT À Á ; supT À Ã , and the set T κ is defined by The forward jump operator σ : T ! T is defined by σ t ð Þ≔in t; ∞ ð Þ T , for t ∈ T: The backward jump operator r : T ! T is defined by r t ð Þ≔sup À∞; t ð Þ T , for t ∈ T: The forward graininess function μ : T ! R þ 0 is defined by μ t ð Þ≔σ t ð Þ À t, for t ∈ T: The backward graininess function ν : T ! R þ 0 is defined by ν t ð Þ≔t À r t ð Þ, for t ∈ T: Here, it is assumed that inf0= ¼ supT and sup0= ¼ infT: For a function f : T ! T, we define the Δ-derivative of f at t ∈ T κ , denoted by f Δ t ð Þ for all e > 0: There exists a neighborhood U ⊂ T of t ∈ T κ such that for all s ∈ U: For the same function, the ∇-derivative of f at t ∈ T κ , denoted by f ∇ t ð Þ, for all e > 0:, is defined. There exists a neighborhood V ⊂ T of t ∈ T κ such that for all s ∈ V: A function f : T ! R is rd-continuous if it is continuous at right-dense points in T and its leftsided limits exist at left-dense points in T: The class of real rd-continuous functions defined on a time scale T is denoted by C rd T; R ð Þ: If f ∈ C rd T; R ð Þ, then there exists a function F t ð Þ such Theorem 1. [23] Suppose that f : T ! R is a function and t ∈ T κ . Then, we have the following: 1. If f is delta differentiable at t, then f is continuous at t: 2. If f is continuous at a right scattered t, then f is delta differentiable at t with 3. If t is right dense, then f is delta differentiable at t if and only if the limit exists as a finite number. In this case, 4. If f is delta differentiable at t, then If a, b, c, d ∈ T, α ∈ R, and f , g : T ! R are rd-continuous, then If a, b ∈ T, α ∈ R, and f : T ! R are rd-continuous, then where the integral on the right is the Riemann integral from calculus.
• If T consists of only isolated points and a < b, then We will also give the following lemma, which is essential for this chapter.

Definition 1. [4]
Let the time scale T including a fixed number t 0 ∈ T * where T * be a non-empty subset of T, such that there exist operators δAE : t 0 ; ∞ ½ Þ T Â T * ! T * which satisfy the following properties: P.1 With respect to their second arguments, the functions δAE are strictly increasing, i.e., if Then the backward operator is δ À , and the forward operator is δ þ which are associated with t 0 ∈ T * (called the initial point). Shift size is the variable ð Þ in T * indicate u unit translation of the term v ∈ T * to the right and left, respectively. The sets D AE are the domains of the shift operators δ AE , respectively.

Definition 2. [4]
Let T be a time scale with the shift operators δAE associated with the initial point then P is called the period of the time scale T.

Definition 3. [4]
(Periodic function in shifts δ þ and δ À ). Let T be a time scale that is periodic in shifts δ þ and δ À with the period Q. We say that a real valued function g defined on T * is periodic in shifts if The smallest numberT ∈ Q; ∞ ½ Þ T * such that is called the period of f.
Definition 1, Definition 2, and Definition 3 are from [4]. [24] Let our time scale T be periodic in shifts, and for each t ∈ T * , δ n þ T; t ð Þ À Á Δ is constant. Then, Proof. We get the desired result, if we can be able to show that for any κ 1 Since T is a periodic time scale in shifts (WLOG κ 2 > κ 1 ), there exits n ∈ N such that Because of the definition of the time scale and u, u : By using change of variables, we get the result. If s ¼ δ n þ T; t ð Þ, then by the assumption of the lemma Hence, proof follows. □

Remark 1. [24]
It is obvious that if T ¼ 0 f g∪q Z , then mes δ þ T; t ð Þ ð Þis equal for each t in 0 f g∪q Z : The equation that we investigate is and t ∈ 0 f g∪q Z . κ is defined as in Lemma 1. If g : 0 f g∪q Z ! R is periodic function in shifts, then Proof. We only show the first inequality as the proof of the second inequality is similar to the proof of the other one. Since g is a periodic function in shifts, without loss of generality, it suffices to show that the inequality is valid for t ∈ κ; δ þ T; κ ð Þ ½ : The proof is complete. □

Remark 2. [14]
Consider the following equation: This is the predator-prey dynamic system that is obtained from ordinary differential equations. Let T ¼ R. In (2.1), by taking exp x t ð Þ ð Þ ¼x t ð Þ and exp y t ð Þ ð Þ ¼ỹ t ð Þ, we obtain the equality (2.2), which is the standard predator-prey system with Beddington-DeAngelis functional response.
Let T ¼ Z: By using equality (2.1), we obtain Here, again by taking exp x t ð Þ ð Þ ¼x t ð Þ and exp y t ð Þ ð Þ ¼ỹ t ð Þ, we obtaiñ which is the discrete time predator-prey system with Beddington-DeAngelis-type functional response and also the discrete analogue of Eq. (2.2). This system was studied in [25,26]. Since Eq. Þdenote the density of prey and the predator. Therefore, x t ð Þ and y t ð Þ could be negative. By taking the exponential of x t ð Þ and y t ð Þ, we obtain the number of preys and predators that are living per unit of an area. In other words, for the general time scale case, our equation is based on the natural logarithm of the density of the predator and prey. Hence, x t ð Þ and y t ð Þ could be negative.

For Eqs. (2.2) and (2.3), since exp x t ð Þ ð
Þ ¼x t ð Þ and exp y t ð Þ ð Þ ¼ỹ t ð Þ, the given dynamic systems directly depend on the density of the prey and predator.

Application of δ AE -periodicity of Q-calculus
The following theorem is the modified version of Theorem 8 from [24].
Theorem 5. Assume that for the given time scale Þis equal for each t ∈ T: In addition to conditions on coefficient functions and are satisfied, then there exist at least one δ AE -periodic solution.
Quantum Calculus with the Notion δ ± -Periodicity and Its Applications http://dx.doi.org/10.5772/intechopen.74952 with the norm: with the norm: Let us define the mappings L and C by L : , c 1 and c 2 are constants. : ImL is closed in Y: Its obvious that dimKerL ¼ 2. To show dimKerL ¼ codimImL ¼ 2, we have to prove that KerL ⊕ ImL ¼ Y: It is obvious that when we take an element from Ker L, an element from Im L, we find an element of Y by summing these two elements. If we take an element u v ! ∈ Y, and WLOG taking u t ð Þ, we have u v ! ∈ Y can be written as the summation of an element from Im L and an element from Ker L. Also, it is easy to show that any element in Y is uniquely expressed as the summation of an element Ker L and an element from Im L. So, codimImL is also 2, we get the desired result. Hence, L is a Fredholm mapping of index zero. There exist continuous projectors U : The generalized inverse K U ¼ ImL ! DomL ∩ KerU is given: Quantum Calculus with the Notion δ ± -Periodicity and Its Applications http://dx.doi.org/10.5772/intechopen.74952 To apply the continuation theorem, we investigate the below operator equation: x y ! ∈ X be any solution of system (3.1). Integrating both sides of system (3.1) over the interval 0; w ½ , we obtain From (3.1) and (3.2), we get x y ! ∈ X, then there exist η i , ξ i and i ¼ 1, 2 such that If ξ 1 is the minimum point of x t ð Þ on the interval κ; δ þ T; κ ð Þ ½ because x t ð Þ is a function that is periodic in shifts for any n ∈ N on the interval δ n þ T; We have similar results for the other points for ξ 2 , η 1 , and η 2 : By the first equation of systems (3.2) and (3.5) Using the second inequality in Lemma 2, we have By the first equation of systems (3.2) and (3.5) Then, we get Using the first inequality in Lemma 2, we have By using the second inequality in Lemma 2 Let us define the homotopy such that H ν ¼ ν JVC ð Þþ 1 À ν ð ÞG where As a result, it is seen that one can define a periodicity notion that is applicable to the structure of the quantum calculus. Additionally, it is shown that this notion is useful for different applications. One of its applications is analyzed in this study with an example.

Discussion
There are many studies about the predator-prey dynamic systems on time scale calculus such as [14,19,27,28]. All of these cited studies are about the periodic solutions of the considered system on a periodic time scale. However, in the world, there are many different species. While investigating the periodicity notion of the different life cycle of the species, the w-periodic time scales could be a little bit restricted. Therefore, if the life cycle of this kind of species is appropriate to the Beddington-DeAngelis functional response, then the results that we have found in that study are becoming more useful and important.
In addition to these, the δ AE -periodic solutions for predator-prey dynamic systems with Holling-type functional response, semiratio-dependent functional response, and monotype functional response can be also taken into account for future studies. In that dynamic systems, delay conditions and impulsive conditions can also be added for the new investigations.
This is a joint work with Ayse Feza Guvenilir and Billur Kaymakcalan.