# Quaternionic Serret-Frenet Frames for Fuzzy Split 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 [E.sup.3] or Minkowski space [E.sup.3.sub.1]. 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 . 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  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 . There are many applications of quaternions. In physics, we have highlighted applications in quantum mechanics  and theory of relativity . In addition, there are applications in aviation projects and flight simulators . On the other hand, the study  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 .

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

2. Serret-Frenet Frame

The Serret-Frenet frame is defined as follows .

Let [??](t) 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 [??](t), the binormal vector [??](t), and the normal vector [??](t) vectors at any point on the curve given by

[mathematical expression not reproducible] (1)

The Serret-Frenet frame for the curve [??](t) is given as the following differential equation. Writing this frame with matrices is easily for the mathematical calculations.

[mathematical expression not reproducible] (2)

The speed value of the curve [??](t) is denoted by v(t) = [parallel][??](t)[parallel]. The scalar curvature of [??](i) is symbolized as [kappa](t) and the torsion value of the curve [??](t) is symbolized as [tau](t). The torsion of the curve [??](t) measures how sharply it is twisting out of the plane of curvature. The curvature of [??](t) 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:

[mathematical expression not reproducible] (3)

3. Split Quaternion Frames

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

Definition 1. The set H' = {q = [q.sub.0]1 + [q.sub.1]i + [q.sub.2]j + [q.sub.3]k, [q.sub.0], [q.sub.1], [q.sub.2], [q.sub.3] [member of] R} is a vector space over R having basis {1, i, j, k] with the following properties:

[mathematical expression not reproducible] (4)

Every element of the set H' is called a split quaternion. .

Definition 2. Let two split quaternions be q = [q.sub.0]1 + [q.sub.1]i + [q.sub.2]j + [q.sub.3]k and p = [p.sub.0]1 + [p.sub.1]i + [p.sub.2]j + [p.sub.3]k. These two split quaternions multiplication is calculated as

[mathematical expression not reproducible] (5)

Definition 3. The conjugate of the split quaternion q = [q.sub.0]1 + [q.sub.1]i + [q.sub.2]j + [q.sub.3]k is defined as

[bar.q] = [q.sub.0]1 - [q.sub.i]I - [q.sub.2]j - [q.sub.3]k (6)

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

[N.sub.q] = q[bar.q] = [bar.q]q = [([q.sub.0]).sup.2] + [([q.sub.1]).sup.2] - [([q.sub.2]).sup.2] - [([q.sub.3]).sup.2] = 1 (7)

Definition 5. Because of H' [??] [E.sup.4.sub.2], we can define the timelike, spacelike, and lightlike quaternions for q = ([q.sub.0], [q.sub.1], [q.sub.2], [q.sub.3]) as follows:

(i) Spacelike quaternion for [I.sub.q] <0

(ii) Timelike quaternion for [I.sub.q] >0

(iii) Lightlike quaternion for [I.sub.q] = 0

Here, [I.sub.q] = q[bar.q] = [bar.q]q. .

We can add to Definition 5 following descriptions. Timelike, spacelike, and lightlike vectors are important for the Minkowski space [E.sup.3.sub.1]. The Minkowski space [E.sup.3.sub.1] is the accepted common space for the physical reality. We know that the general properties of the quaternions are similar to Minkowski space [E.sup.4.sub.2]. The Minkowski space [E.sup.4.sub.2] is a vector space with real dimension '4' and index '2'. Elements of Minkowski space [E.sup.4.sub.2] are called events or four vectors. On Minkowski space [E.sup.4.sub.2], 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 3 x 3 special split orthogonal matrix) can be constructed from either one of the two related split quaternions q = [q.sub.0]1 + [q.sub.1]i + [q.sub.2]j + [q.sub.3]k or -q = -[q.sub.0]1 - [q.sub.1]i - [q.sub.2]i - [q.sub.3]k using the transformation law :

q w[bar.q] = R.w

[[q w[bar.q]].sub.i] = [3.summation over (j=1)] [R.sub.ij].[w.sub.j] (8)

where w = [v.sub.1]i + [v.sub.2]j + [v.sub.3]k k is a pure split quaternion. We compute [R.sub.ij] directly from (5)

[mathematical expression not reproducible] (9)

All columns of this matrix expressed in this form are orthogonal but not orthonormal. This matrix form is a special orthogonal group SO(1,2). On the other hand, the matrix R can be obtained by the unit split quaternions q and -q. There are two unit timelike quaternions for every rotation in Minkowski 3-space. These timelike quaternions are q and -q. For this reason, a timelike quaternion [R.sub.q] can be supposed as a 3 x 3 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:

[mathematical expression not reproducible] (10)

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.

[mathematical expression not reproducible] (11)

[mathematical expression not reproducible] (12)

[mathematical expression not reproducible] (13)

where

[mathematical expression not reproducible] (14)

Therefore, with using (11), (12), and (13) we obtain the H' split quaternion Frenet frame equations as 

[mathematical expression not reproducible] (15)

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 R and let H be a set of quaternion numbers. A fuzzy real set is a function [bar.A] : R [right arrow] [0,1].

A fuzzy real set [bar.A] is a fuzzy real numbers set [??].

(i) [bar.A] is normal, i.e., there exists x [member of] R whose [bar.A] = 1.

(ii) For all [alpha] [member of] (0,1], the set [bar.A][[alpha]] = {x [member of] R : [bar.A](x) [greater than or equal to] [alpha]} is a limited set.

The set of all fuzzy real numbers is denoted by [R.sub.F]. We can see that R [subset] [R.sub.F], since every [alpha] [member of] R can be written as [alpha] : R [right arrow] [0,1], where [alpha](x) = 1 if x = [alpha] and [alpha](x) = 0 if x [not equal to] [alpha]. 

Now, we define fuzzy numbers with quaternionic forms.

Definition 7. A fuzzy quaternion number is defined by a function h : H [right arrow] [0,1], where h([a.sub.0]1 + [a.sub.1]i + [a.sub.2]j + [a.sub.3]k) = min{[[bar.A].sub.0]([a.sub.0]), [[bar.A].sub.1]([a.sub.1]), [[bar.A].sub.2]([a.sub.2]), [[bar.A].sub.3]([a.sub.3])}, for [bar.A].sub.0], [bar.A].sub.1], [bar.A].sub.2], [bar.A].sub.3] [member of] [R.sub.F] .

Similarly, a fuzzy split quaternion number is given by H' : H' [right arrow] [0,1] such that h'([a.sub.0]1 + [a.sub.1]i + [a.sub.2]j + [a.sub.3]k) = min{[[bar.A].sub.0]([a.sub.0]), [[bar.A].sub.1]([a.sub.1]), [[bar.A].sub.2]([a.sub.2]), [[bar.A].sub.3]([a.sub.3])}, for [bar.A].sub.0], [bar.A].sub.1], [bar.A].sub.2], [bar.A].sub.3] [member of] [R.sub.F].

The fuzzy quaternion number's set is denoted by [H.sub.F] and the set of all fuzzy split quaternion numbers is denoted by [H'.sub.F] and identified as [R.sup.4.sub.F], where every element h' is associated with ([bar.A], [bar.B], [bar.C], [bar.D]).

We can define the fuzzy split quaternion numbers as follows:

h' = ([[bar.A].sub.0], [[bar.A].sub.1], [[bar.A].sub.2], [[bar.A].sub.3]) [member of] [H'.sub.F], where Re(h') = [[bar.A].sub.0] is called the real part and Im1(h') = [[bar.A].sub.1], Im2(h') = [[bar.A].sub.2], Im3(h') = [[bar.A].sub.3] are called imaginary parts.

Let h = [a.sub.0]1 + [a.sub.1]i + [a.sub.2]j + [a.sub.3]k [member of] H' and the function h' : H' [right arrow] [0,1] is given by

[mathematical expression not reproducible] (16)

Definition 8. In the fuzzy split quaternion numbers [H'.sub.F], we can define the addition and multiplication operations as follows .

Let s', h' [member of] [H'.sub.F], where s' = ([[bar.B].sub.0], [[bar.B].sub.1], [[bar.B].sub.2], [[bar.B].sub.3]) and h' = ([[bar.A].sub.0], [[bar.A].sub.1], [[bar.A].sub.2], [[bar.A].sub.3]); then,

[mathematical expression not reproducible] (17)

Definition 9. Let R be the field of real numbers and (R, [tau]) be a fuzzy topological vector space over the field R.

f : R [right arrow] R, a [member of] R; the function f is said to be fuzzy differentiable at the point a if there is a function [phi] that is fuzzy continuous at the point a and have

f (x) - f (a) = [phi](x)(x - a) (18)

for all X [member of] R. [phi](a) is said to be fuzzy derivative of f at and denote

f' (a) = [phi] (a) (19)

.

Definition 10. Let h' = ([[bar.A].sub.0], [[bar.A].sub.1], [[bar.A].sub.2], [[bar.A].sub.3]); the conjugate of h' is defined as

[bar.h'] = ([[bar.A].sub.0], -[[bar.A].sub.1], -[[bar.A].sub.2], -[[bar.A].sub.3]) (20)

The norm of h' is defined as

[N.sub.h'] = [bar.h']h' = h'[bar.h'] = [([[bar.A].sub.0]).sup.2] + [([[bar.A].sub.1]).sup.2] - [([[bar.A].sub.2]).sup.2] - [([[bar.A].sub.3]).sup.2] (21)

Because of H' [subset] [H'.sub.F], the following equation can be written:

[mathematical expression not reproducible] (22)

where w' = ([V.sub.1], [V.sub.2], [V.sub.3]).

Here, [R.sub.ij] is the component of the matrix R and the matrix is calculated from (17) as follows:

[mathematical expression not reproducible] (23)

In this matrix (23), we calculate the derivative of the columns, respectively, to the elements [[bar.A].sub.0], [[bar.A].sub.1], [[bar.A].sub.2], and [[bar.A].sub.3]. We will get the Fuzzy tangent vector [??] to the derivation from the first column to the elements [[bar.A].sub.0], [[bar.A].sub.1], [[bar.A].sub.2], and [[bar.A].sub.3]:

[mathematical expression not reproducible] (24)

We will get the fuzzy normal vector [??] to the derivation from the second column to the elements [[bar.A].sub.0], [[bar.A].sub.1], [[bar.A].sub.2], and [[bar.A].sub.3]:

[mathematical expression not reproducible] (25)

We will get the fuzzy binormal vector [??] to the derivation from the third column to the elements [[bar.A].sub.0], [[bar.A].sub.1], [[bar.A].sub.2], and [[bar.A].sub.3]:

[mathematical expression not reproducible] (26)

If we write, respectively, these founded matrices in (11), (12), and (13), we can obtain the following equalities for Serret-Frenet frame equations:

[mathematical expression not reproducible] (27)

[mathematical expression not reproducible] (28)

[mathematical expression not reproducible] (29)

The differential of fuzzy split quaternion h' is expressed with matrix form as follows:

[mathematical expression not reproducible] (30)

Here, ([[bar.A].sub.0], [[bar.A].sub.1], [[bar.A].sub.2], [[bar.A].sub.3]) is the real and imaginary elements of the fuzzy split quaternionic vector. Now, we must need to calculate the elements [[bar.B].sub.i], [[bar.C].sub.i], [[bar.D].sub.i], [[bar.E].sub.i], (0 [less than or equal to] i [less than or equal to] 3) of the coefficient matrix. We need solutions of (27), (28), and (29) to obtain the elements [[bar.B].sub.i], [[bar.C].sub.i], [[bar.D].sub.i], [[bar.E].sub.i], (0 [less than or equal to] i [less than or equal to] 3). For this reason, we put the differential of fuzzy split quaternion ti, 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:

[mathematical expression not reproducible] (31)

[mathematical expression not reproducible] (32)

[mathematical expression not reproducible] (33)

[mathematical expression not reproducible] (34)

Finally, we get results for the elements [[bar.B].sub.i], [[bar.C].sub.i], [[bar.D].sub.i], [[bar.E].sub.i], (0 [less than or equal to] i [less than or equal to] 3) as follows:

[mathematical expression not reproducible] (35)

Therefore, by using these values (35) we obtain the fuzzy split quaternionic Serret-Frenet frame equation as

[mathematical expression not reproducible] (36)

6. Conclusion and Discussion

In this study, we redefined the algebraic operations for split quaternions on fuzzy split quaternions. The set of split quaternions is a subset of fuzzy split quaternions (H' [subset] [H'.sub.F]). This condition is important because the given definitions for fuzzy split quaternions are provided with it. As a result of this, given definitions are similar to definitions for split quaternions. We have seen that these definitions are similar to the split quaternion structures. We have obtained in this study fuzzy tangent vector [??], fuzzy normal vector [??], and fuzzy binormal vector [??]'. These vector forms are a new description and calculation. Also, we have redefined these Serret-Frenet frames for fuzzy split quaternions on familiar Serret-Frenet frames. For fuzzy quaternionic forms the torsion and curvature functions are defined as

[tau] : I [subset] R [right arrow] [0,1]

[kappa]: I [subset] R [right arrow] [0,1] (37)

For this reason, Serret-Frenet frame elements in (36) for fuzzy split quaternions get values in the range [-1,1]. In Definition 7, we can see that if we take equal fuzzy split quaternion to the split quaternion, the function h' [member of] H' can take the value 'l' and if we take not equal fuzzy split quaternion to the split quaternion, the function h' can take the value '0'. Hence, for calculating (27), (28), and (29), the necessary rule is

h' ([b.sub.0]1 + [b.sub.1]i + [b.sub.2]j + [b.sub.3]k) = 1 (38)

https://doi.org/10.1155/2018/7215049

Conflicts of Interest

The authors declare that they have no conflicts of interest.

Acknowledgments

The basic properties and required features of this study are provided in the 15th International Geometry Symposium Amasya University, Amasya, Turkey, July 3-6.

References

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Cansel Yormaz (iD), Simge Simsek (iD), and Serife Naz Elmas

Department of Mathematics, Pamukkale University, Denizli 20070, Turkey

Correspondence should be addressed to Cansel Yormaz; c_aycan@pau.edu.tr

Received 3 November 2017; Revised 9 March 2018; Accepted 18 March 2018; Published 24 May 2018

Title Annotation: Printer friendly Cite/link Email Feedback Research Article Yormaz, Cansel; Simsek, Simge; Elmas, Serife Naz Advances in Fuzzy Systems Jan 1, 2018 3097 Cardinal Basis Piecewise Hermite Interpolation on Fuzzy Data. Solving Fuzzy Volterra Integrodifferential Equations of Fractional Order by Bernoulli Wavelet Method. Graphics software