1. Introduction
Quaternions, introduced in 1843 by the Irish mathematician Hamilton as a generalization of complex numbers, have become a useful tool for modeling and solving problems in classical fields of mathematics, engineering and physics [
1]. Quaternion algebra sits at the intersection of many mathematical subjects. It captures the main features of noncommutative ring theory, group theory, geometric topology, representation theory, etc. After the discovery of quaternions, split quaternion algebra or coquaternion algebra was initially introduced by J. Cackle. Split quaternion algebra is especially beneficial to study because it often reflects some of general aspects for the mentioned subjects. Both quaternion and split quaternion algebras are associative and non-commutative 4-dimensional Clifford algebras. With this in mind, the properties and roots of quaternions and split quaternions are given in detail; see [
2,
3,
4,
5].
Like matrix representations of complex numbers, the quaternions are also given by matrix representation. It enables for calculating some algebraic properties in quaternion algebra. Hence, quaternions and matrices of quaternions were studied by many authors in the literature; see [
6,
7].
A brief introduction of the generalized quaternions is given in detail in [
8]. Split Fibonacci quaternions, split Lucas quaternions and split generalized Fibonacci quaternions were defined in [
9]. The relationships among these quaternions were given in the same study. Similarly, split Pell and split Pell–Lucas quaternions were defined in [
10]. In that study, many identities between split Pell and split Pell–Lucas quaternions were mentioned.
Some algebraic concepts for complex quaternions and complex split quaternions were given in [
11,
12]. In these studies, a 4 × 4 quaternion coefficients matrix representation was used. Moreover, the correspondences between complex quaternions and complex split quaternions were discussed in detail.
Dual numbers were initially introduced by Clifford. Additionally, they were used as representing the dual angle which measures the relative positions of two skew lines in space by E. study. Using dual numbers, dual quaternions provide a set of tools to help solve problems in rigid transforms, robotics, etc. The generalization of Euler’s and De Moivre’s formulas for dual quaternions and matrix representations of basic algebraic concepts are studied in [
13,
14,
15].
The main purpose of this paper is to present, based on quaternions with complex coefficients, results on split quaternions with quaternion coefficients and quaternions with dual coefficients.
The rest of the paper is organized as follows:
Section 1 contains a mathematical summary of real quaternions and some concepts of dual numbers.
Section 2 is dedicated to quaternions with dual coefficients and
Section 3 shows some properties of split quaternions with quaternion coefficients. Finally,
Section 4 contains the similarities and differences between quaternions with dual coefficients and split quaternions with quaternion coefficients.
3. Quaternions with Dual Coefficients
Dual and complex numbers are significant two-dimensional number systems. Especially in the literature, many mathematicians dealt with the algebraic applications and interpretations of these numbers. Just as the algebra of complex numbers can be described with quaternions, the algebra of dual numbers can be described with quaternions. In this section, quaternions with dual coefficients (QDC) are introduced and some significant definitions and theorems are obtained.
A dual number is given by an expression of the form
, where
a and
b are real numbers and
Moreover, the set of dual numbers is given as
Addition and multiplication of dual numbers are represented, respectively, as follows:
The multiplication has commutatitve, associative property and distributes over addition. The conjugate of
is given as
Additionally, the norm of
z is
Let us define a quaternion with dual coefficients with the form
where
and
are dual numbers and
satisfy the following equalities:
Furthermore, the quaternion with dual coefficients
Q can be rewritten as
where
and
are real numbers for
Here
denote the quaternion units and commutes with
and
respectively. Additionally,
is the scalar part and
is the vector part of
Q. For any given two quaternions with quaternion coefficients
Q and
the addition is
and the quaternion product is
where
and
are quaternions with dual coefficients. The coefficients of
P and
Q can be given as follows:
In other words, we can rewrite and
The scalar product of
Q is defined as
Example 1. Let and be quaternions with dual coefficients.
The addition of Q and P is Additionally, we can rewrite Moreover, the quaternion product of Q and P is For the scalar product of Q is Moreover, the conjugate of Q is Moreover, the norm of
Q is given as
If
then
Q is called unit quaternion with dual coefficients. The inverse of
Q is
Example 2. Let be a quaternion with dual coefficients. The inverse of Q is The
conjugate and
dual conjugate are defined, respectively, as follows:
Furthermore, above equations can be written as
and
respectively. Hence, we get the following equations:
Therefore, the product is not commutative.
Basis elements of 4 × 4 matrices are given as follows:
Here, the multiplication of the matrices satisfies the equalities given in the definition of the basis elements
The algebra of the matrix representation for a quaternion with dual coefficients, denoted by
is defined as
In other words, the matrix representation of
Q, where
is a quaternion with dual coefficients, is
where
and
are complex numbers.
The transpose and the adjoint matrix of
Q, denoted by
and
respectively, are obtained as
where
and
are considered as coefficients. Here
and
are the complex conjugates of
A and
respectively. From above matrices, we can write
If
, then we get Equation (
11) as below:
If off-diagonal entries of Q are 0 then Q is called a diagonal matrix and Q is in form of
If then Q is called a symmetric matrix and Q is in form of
If then Q is called orthogonal matrix and Q is in form of
If then Q is called Hermitian matrix and Q is in form of
If then Q is called a unitary matrix and Q is in form of and
Definition 2. A determinant of is defined as Moreover, from the definition of determinant, we can write
Here, we point out that the definition of detQ in Equation (
13) is different from the determinant for the matrix representation of
Namely, the determinant for the matrix representation of
Q is calculated as
Example 3. Let be a quaternion with dual coefficients. The determinant of Q is given as Theorem 2. For any and the following properties are satisfied:
- (i)
;
- (ii)
;
- (iii)
;
- (iv)
.
Proof. For any
from the given matrices, it can be easily seen that
For
we get
Therefore,
For
and
the product
is denoted as
and from the definition of determinant, we have
In addition, the determinants of
Q and
P are
and
respectively. Then,
From the definitions of the conjugate and dual conjugate, it can be proved easily. □
On the other hand, we obtain the following result for the determinants of the product
and
where
Q is any non-zero quaternion.
If
then the inverse of the quaternion with dual coefficients is
Theorem 3. Quaternion with dual coefficients matrices satisfy the following properties:
- (i)
,
- (ii)
where C is any non-zero quaternion.
Proof. By using multiplication, it can be seen easily.
For
Here we would like to bring to your attention that this result is different from Theorem 2, in [
1].
Lemma 1. For any the following properties are satisfied: Proof. For any
we write
where
and
coefficients. From the conjugate of
we obtain
Using the definition of transpose, we get
As we use the definition of dual conjugate to the matrix i.e., applying the conjugate for every coefficients, we acquire
If
Q is considered as
the transpose and conjugate are given as
As we apply the dual conjugate for every coefficients of the conjugate of
we acquire that
□
Theorem 4. If are invertible, then the following properties are satisfied:
- (i)
,
- (ii)
,
- (iii)
,
- (iv)
Proof. For a given invertible
we can write
On the other hand, we can calculate
Thus, we obtain
By using the inverse definition and multiplication definition, and can be seen, easily.
For
and
we obtain
as
where
are coefficients, respectively. From the definition of determinant, we write
On the other hand, the inverses of
P and
Q are obtained as
Additionally, their inner product is
Example 4. Let be a quaternion with dual coefficients. We obtain Therefore, we can write On the other hand, we can calculate From these calculations, we observe that in general. However, if we take as pure-real and then equation provides an equality.
Here, we would like to point out that is only satisfied when are considered as pure-real and
4. Split Quaternions with Quaternion Coefficients
In [
11], Karaca et. al. introduced the split quaternions with quaternion coefficients (SQC) and obtained some significant properties. Moreover, they gave some definitions and theorems about split quaternions with quaternion coefficients.
A split quaternion with quaternion coefficients is the form
where
and
are quaternions and the split quaternion matrix basis
of
P satisfies the following equalities:
Additionally, the quaternion with quaternion coefficients
P can be rewritten as
where
are real numbers for
Here
denote the quaternion units and commutes with
and
respectively. Furthermore,
is the scalar part and
is vector part of
P in [
11]. The set of split quaternions with quaternion coefficients are denoted by
in [
11]. Basis elements of 4x4 matrices are given as follows:
The conjugate, quaternionic conjugate and total conjugate are defined, respectively, as follows [
11]:
In [
11], the determinant of
P is defined as
Additionally, the norm of
P is given as
where
and
are considered for calculations. If
then
P is called unit split quaternion with quaternion coefficients in [
11].
Theorem 5. For any non-zero and the following properties are satisfied:
- (i)
,
- (ii)
,
- (iii)
.
Proof. For any
from the equations of transpose and conjugate
For
we get
Therefore, we obtain
For
and
the product
is denoted as
In addition, the determinants of
Q and
P are
and
respectively. Then,
Theorem 6. Split quaternions with quaternion coefficients matrices satisfy the following properties:
- (i)
,
- (ii)
,
where C is any non-zero quaternion.
Proof. For any non-zero quaternion from the quaternion product, it can be seen easily.
For
we acquire that
Thus, we can write □
Definition 3. Every split quaternion with quaternion coefficients can be written in the polar formwhere and respectively. Example 5. Let be split quaternion with quaternion coefficients. The polar form of Q is obtained aswhere and respectively. Additionally, every split quaternion with quaternion coefficients P can be uniquely written as
Theorem 7. For any non-zero the following properties are satisfied:
- (i)
,
- (ii)
,
- (iii)
,
- (iv)
,
- (v)
,
- (vi)
.
Proof. Let be a split quaternion with quaternion coefficients.
From the definition of the determinant, we obtain
and
Let
P be invertible. Thus, we can write
As we consider
we acquire
Let
P be invertible. Using quaternionic conjugate, i.e.,
we obtain
Let
P be invertible. Considering transpose and conjugate, we get
For any
we can write
and
Thus,
From the definition of conjugate, it can be proved easily. □
Let us to exemplify this theorem.
Example 6. Let and be split quaternions with quaternion coefficients. Then:
Let P be invertible. It can be found that Let P be invertible. It can be easily seen that By exploiting the multiplication definition of quaternions and their properties, it is seen that