Abstract

We build the concept of fuzzy split quaternion numbers of a natural extension of fuzzy real numbers in this study. Then, we give some differential geometric properties of this fuzzy quaternion. Moreover, we construct the Frenet frame for fuzzy split quaternions. We investigate Serret-Frenet derivation formulas by using fuzzy quaternion numbers.

1. Introduction

The Serret-Frenet formulas describe the kinematic properties of a particle moving along a continuous and differentiable curve in Euclidean space or Minkowski space . These formulas are used in many areas such as mathematics, physics (especially in relative theory), medicine, and computer graphics.

Quaternions were discovered by Sir William R. Hamilton in 1843. The most widely used and most important feature of quaternions is that each unit quaternion represents a transformation. This representation has a special and important role on turns in 3-dimensional vector spaces. This situation is detailed in the study [1]. Nowadays, quaternions are used in many areas such as physics, computer graphics, and animation. For example, visualizing and translating with computer graphics are much easier with quaternions. It is known by especially mathematicians and physicists that any unit (split) quaternion corresponds to a rotation in Euclidean and Minkowski spaces.

The notion of a fuzzy subset was introduced by Zadeh [2] and later applied in various mathematical branches. According to the standard condition, a fuzzy number is a convex and a normalized fuzzy subset of real numbers. Basic operations on fuzzy quaternion numbers can be seen in study [3]. There are many applications of quaternions. In physics, we have highlighted applications in quantum mechanics [4] and theory of relativity [5]. In addition, there are applications in aviation projects and flight simulators [6]. On the other hand, the study [7] is a basic study for quaternionic fibonacci forms. All of references that we reviewed guided us to studying the geometry of quaternions.

In this paper, we have described the basic operations of fuzzy split quaternions. With this number of structures we aimed to achieve the frenet frame equation. Previously, frenet frame has been created by split quaternions in [8].

In these studies, we obtained Frenet frame by the fuzzy split quaternion.

2. Serret-Frenet Frame

The Serret-Frenet frame is defined as follows [8].

Let be any second-order differentiable space curve with nonvanishing second derivative. We can choose this local coordinate system to be the Serret-Frenet frame consisting of the tangent vector , the binormal vector , and the normal vector vectors at any point on the curve given by

The Serret-Frenet frame for the curve is given as the following differential equation. Writing this frame with matrices is easily for the mathematical calculations.

The speed value of the curve is denoted by The scalar curvature of is symbolized as and the torsion value of the curve is symbolized as . The torsion of the curve measures how sharply it is twisting out of the plane of curvature. The curvature of is the magnitude of the acceleration of a particle moving along this curve. The torsion of curvature is related by the Serret-Frenet formulas and their generalization. These can be expressed with following formulas:

3. Split Quaternion Frames

In this section, firstly we will give the split quaternions definition and their characteristics properties.

Definition 1. The set is a vector space over having basis with the following properties:Every element of the set is called a split quaternion. [9].

Definition 2. Let two split quaternions be and These two split quaternions multiplication is calculated as

Definition 3. The conjugate of the split quaternion is defined as

Definition 4. A unit-length split quaternion’s norm is

Definition 5. Because of , we can define the timelike, spacelike, and lightlike quaternions for as follows:(i)Spacelike quaternion for (ii)Timelike quaternion for (iii)Lightlike quaternion for

Here, [1].

We can add to Definition 5 following descriptions. Timelike, spacelike, and lightlike vectors are important for the Minkowski space . The Minkowski space is the accepted common space for the physical reality. We know that the general properties of the quaternions are similar to Minkowski space . The Minkowski space is a vector space with real dimension and index . Elements of Minkowski space are called events or four vectors. On Minkowski space , there is an inner product of signature two “plus” and two “minus”. Also, we prefer to define the vector structure of Minkowski space with quaternions.

Every possible rotation R (a special split orthogonal matrix) can be constructed from either one of the two related split quaternions or using the transformation law [8]:where k is a pure split quaternion. We compute directly from (5) All columns of this matrix expressed in this form are orthogonal but not orthonormal. This matrix form is a special orthogonal group . On the other hand, the matrix can be obtained by the unit split quaternions and . There are two unit timelike quaternions for every rotation in Minkowski 3-space. These timelike quaternions are and For this reason, a timelike quaternion can be supposed as a dimensional orthogonal rotation matrix.

The equations obtained as a result of this coincidence are quaternion valued linear equations. If we derive the column equation of (9), respectively, then we obtain the following results:

4. Serret-Frenet Frames of Split Quaternions

In this section, we give the Serret-Frenet Frame equations for split quaternions. If we calculate the differential equations corresponding to Serret-Frenet Frames with split quaternions, we can obtain the following differential equations. These equations are the formulas Serret-Frenet frames with split quaternions.whereTherefore, with using (11), (12), and (13) we obtain the split quaternion Frenet frame equations as [8]

5. Serret-Frenet Frames of Fuzzy Split Quaternions

In this section, we study obtaining the Frenet frame equations with split quaternions in the fuzzy space. For this, firstly we define a fuzzy real set and fuzzy real numbers.

Definition 6. The real number’s set is denoted by and let be a set of quaternion numbers. A fuzzy real set is a function .
A fuzzy real set is a fuzzy real numbers set .
(i) is normal, i.e., there exists whose .
(ii) For all , the set is a limited set.
The set of all fuzzy real numbers is denoted by . We can see that , since every can be written as , where if and if . [3]

Now, we define fuzzy numbers with quaternionic forms.

Definition 7. A fuzzy quaternion number is defined by a function , where , for [3].
Similarly, a fuzzy split quaternion number is given by such that , for .
The fuzzy quaternion number’s set is denoted by and the set of all fuzzy split quaternion numbers is denoted by and identified as , where every element is associated with .
We can define the fuzzy split quaternion numbers as follows:
, where is called the real part and , are called imaginary parts.
Let and the function is given by

Definition 8. In the fuzzy split quaternion numbers , we can define the addition and multiplication operations as follows [3].
Let , , where and ; then,

Definition 9. Let be the field of real numbers and be a fuzzy topological vector space over the field .
; the function is said to be fuzzy differentiable at the point if there is a function that is fuzzy continuous at the point and havefor all . is said to be fuzzy derivative of at and denote[10].

Definition 10. Let ; the conjugate of is defined asThe norm of is defined asBecause of , the following equation can be written: where .

Here, is the component of the matrix and the matrix is calculated from (17) as follows:In this matrix (23), we calculate the derivative of the columns, respectively, to the elements , and . We will get the Fuzzy tangent vector to the derivation from the first column to the elements , and : We will get the fuzzy normal vector to the derivation from the second column to the elements , and :We will get the fuzzy binormal vector to the derivation from the third column to the elements , and :If we write, respectively, these founded matrices in (11), (12), and (13), we can obtain the following equalities for Serret-Frenet frame equations:The differential of fuzzy split quaternion is expressed with matrix form as follows: Here, is the real and imaginary elements of the fuzzy split quaternionic vector. Now, we must need to calculate the elements of the coefficient matrix. We need solutions of (27), (28), and (29) to obtain the elements , . For this reason, we put the differential of fuzzy split quaternion , fuzzy tangent vector , fuzzy normal vector , and fuzzy binormal vector in (27), (28), and (29) in its places. When we make the needed calculations, we can obtain the following results: Finally, we get results for the elements , as follows:Therefore, by using these values (35) we obtain the fuzzy split quaternionic Serret-Frenet frame equation as