Abstract
Within the framework of differential geometry, we study binary operations in the open, unit ball of the Euclidean n-space , , and discover the properties that qualify these operations to the title addition despite the fact that, in general, these binary operations are neither commutative nor associative. The binary operation of the Beltrami-Klein ball model of hyperbolic geometry, known as Einstein addition, and the binary operation of the Beltrami-Poincaré ball model of hyperbolic geometry, known as Möbius addition, determine corresponding metric tensors in the unit ball. For a variety of metric tensors, including these two, we show how binary operations can be recovered from metric tensors. We define corresponding scalar multiplications, which give rise to gyrovector spaces, and to norms in these spaces. We introduce a large set of binary operations that are algebraically equivalent to Einstein addition and satisfy a number of nice properties of this addition. For such operations we define sets of gyrolines and co-gyrolines. The sets of co-gyrolines are sets of geodesics of Riemannian manifolds with zero Gaussian curvatures. We also obtain a special binary operation in the ball, which is isomorphic to the Euclidean addition in the Euclidean n-space.
1. Introduction
Let be the unit, open ball in the Euclidean n-space ,
, where is the Euclidean norm.
Einstein addition is a binary operation, , in the ball that stems from his velocity composition law in the ball of relativistically admissible velocities. Seemingly structureless, Einstein addition is neither commutative nor associative. However, Einstein addition turns out to be both gyrocommutative and gyroassociative, thus giving rise to the rich algebraic structures that became known as a (gyrocommutative) gyrogroup and a gyrovector space, the definitions of which are presented in Definitions 1–3, Section 2.
Einstein addition, , and its isomorphic copy, Möbius addition, , are studied in the literature algebraically, along with applications to the hyperbolic geometry of Lobachevsky and Bolyai. Naturally, one may expect that the rich algebraic structure of Einstein addition can find home in differential geometry, giving rise to a novel branch called Binary Operations in the Ball.
Accordingly, the aim of this paper is to develop a differential geometry approach to Einstein addition and, hence, to discover the resulting novel branch of differential geometry that involves binary operations in the ball. We thus begin with the study of an arbitrary binary operation in the ball that satisfies some general conditions.
A binary operation in is a function f: . We consider functions f of class , that is, functions f having continuous second derivatives. This operation determines a metric tensor in given by
, where denotes transposition, and is the space of all real -matrices. Then, is a Riemannian manifold with a metric tensor G.
We pay special attention to the following three binary operations in the ball, along with their associated scalar multiplication:
- Einstein addition in the ball, presented in (136), and the scalar multiplication that it admits, presented in (138), are recovered in Section 5 within the framework of differential geometry. The triple is an Einstein gyrovector space that forms the algebraic setting for the Beltrami-Klein ball model of hyperbolic geometry.
- Möbius addition in the ball, presented in (153), and the scalar multiplication that it admits, presented in (154), are recovered in Section 6 within the framework of differential geometry. The triple is a Möbius gyrovector space that forms the algebraic setting for the Beltrami–Poincaré ball model of hyperbolic geometry.
- A novel, interesting binary operation ⊕ in the ball, presented in (199), and the scalar multiplication ⊗ that it admits, presented in (205), are discovered in Section 7 within the framework of differential geometry. Remarkably, the triple is a vector space isomorphic to the Euclidean vector space . As such, the binary operation ⊕ in is commutative, associative and distributive. Accordingly, the vector space forms the algebraic setting for a novel n-dimensional Euclidean geometry ball model.
A procedure that we present in this paper enables binary operations in the ball, like , and ⊕, to be obtained from corresponding metric tensors G. Interestingly, a metric tensor G is determined by the behavior of the function f in a neighborhood of the set , rather than in the whole of the space . Hence, the global operations turn out to be determined by local properties of the functions f and their second derivatives in the set .
The procedure is formulated in terms of geodesics and a parallel transport. It is applied to a wide class of metric tensors that satisfy three properties: (i) smoothness, (ii) rotation invariance, and (iii) plane invariance.
For Einstein addition the operation of scalar multiplication with , is well defined [1]. It gives rise to a structure called a gyrovector space. For each metric tensor considered in this paper we define an operation of scalar multiplication, which leads to corresponding gyrovector spaces.
For every the set is called a gyroline. The set of gyrolines defines a metric tensor G. The sets are called co-gyrolines. It is proved in the paper that for operations f isomorphic to Einstein addition, the co-gyrolines are gyrolines for other binary operations, , with metric tensors that we denote by . The Gaussian curvatures of spaces with metric tensors are equal to zero.
Various algebraic and geometric properties of the operations and
have been intensively studied in recent papers and monographs; see, for instance, References [1,2,3,4,5,6,7,8,9,10]).
Einstein addition and Möbius addition are neither commutative nor associative. As such, they do not form group operations. Yet, the lack of the commutative and associative laws is compensated by the gyrocommutative and gyroassociative laws that these binary operations obey. As such, these binary operations give rise to the algebraic objects known as gyrogroups and gyrovector spaces. Remarkably, gyrovector spaces form the algebraic setting for various models of analytic hyperbolic geometry, just as the standard vector spaces form the algebraic setting for analytic Euclidean geometry; see, for instance, References [4,5,9,11,12,13].
The special interest of our study of both Einstein addition and Möbius addition within the framework of differential geometry stems from the result that they are gyrocommutative gyrogroup operations. Indeed they give rise to (i) Einstein gyrogroups and Einstein gyrovector spaces ; and to (ii) Möbius gyrogroups and Möbius gyrovector spaces . The definitions of the abstract (gyrocommutative) gyrogroup and gyrovector space are presented in Section 2.
The organization of the paper is as follows. In Section 2 we present the definitions of the abstract (gyrocommutative) gyrogroup and gyrovector space. In Section 3 we introduce metric tensors satisfying three properties: (i) smoothness; (ii) rotation invariance; and (iii) plane invariance. Then we derive the equations for geodesics and parallel transport. In Section 4 we (i) introduce binary operations defined by metric tensors G; (ii) define corresponding operations of scalar multiplication; and (iii) introduce distances and gyronorms. In Section 5 we prove that the operation f, defined in terms of the metric tensor of Einstein addition, coincides with Einstein addition. In Section 6 and Section 7 similar results are obtained for Möbius addition and for a novel addition. Section 8 is devoted to properties of binary operations similar to those of Einstein addition: (i) left cancellation law; (ii) existence and properties of unitary gyrators; and (iii) a gyrocommutative law.
In the paper, we use the following notation— is the set of real numbers. I is the identity matrix. A real square matrix U is called unitary [14] if . The function is the signum function in . Components of an n-vector x are denoted by , .
2. Gyrogroups and Gyrovector Spaces
Definition 1.
((Gyrogroup), [4] Definition 2.5). A groupoid is a nonempty set S with a binary operation. A groupoid is a gyrogroup if its binary operation satisfies the following axioms. In S there is at least one element, 0, called a left identity, satisfying
(G1) ,
for all . There is an element satisfying axiom such that for each there is an element , called a left inverse of a, satisfying
(G2)
Moreover, for any there exists a unique element such that the binary operation obeys the left gyroassociative law
(G3)
The map given by is an automorphism of the groupoid , that is,
(G4)
and the automorphism of S is called the gyroautomorphism, or the gyration, of S generated by . The operator is called the gyrator of S. Finally, the gyroautomorphism generated by any possesses the left reduction property
(G5)
called the reduction axiom.
The gyrogroup axioms ()–() in Definition 1 split up into three classes:
- The first pair of axioms, and , is a reminiscent of the group axioms.
- The last pair of axioms, and , presents the gyrator axioms.
- The middle axiom, , is a hybrid axiom linking the two pairs of axioms in (1) and (2).
As in group theory, we use the notation in gyrogroup theory as well.
In full analogy with groups, gyrogroups split up into gyrocommutative and non-gyrocommutative ones.
Definition 2.
((Gyrocommutative Gyrogroup), [4] Definition 2.6). A gyrogroup is gyrocommutative if its binary operation obeys the gyrocommutative law
(G6) ,
for all .
The first concrete example of a gyrogroup was discovered in 1988 [15]. It became known as an Einstein gyrogroup. Einstein gyrogroups are employed, for instance, in References [5,16,17,18,19,20,21]. Möbius gyrogroups are employed as well, for instance, in References [4,22,23,24]. In full analogy with groups, there are topological gyrogroups, studied in References [25,26]. Gyrogroups share remarkable analogies with groups studied, for instance, in References [27,28,29,30,31,32]. Applications of gyrogroups in harmonic analysis are found in References [17,23,33]. For other interesting studies of gyrogroups see References [34,35,36,37,38,39]. Einstein gyrogroups and gyrovector spaces are extended to Einstein bi-gyrogroups and bi-gyrovector spaces in References [10,40], along with an application to relativistic quantum entanglement of multi-particle systems.
The gyrocommutative gyrogroups that we study in this paper admit scalar multiplication, turning themselves into gyrovector spaces, the formal definition of which follows.
Definition 3.
((Gyrovector space), [4] Definition 6.2). A real inner product gyrovector space (gyrovector space in short) is a gyrocommutative gyrogroup that obeys the following axioms:
(1) G is a subset of a real inner product vector space V called the carrier of G, , from which it inherits its inner product, ·, and norm, , which are invariant under gyroautomorphisms, that is,
(V0) for all .
(2) G admits a scalar multiplication, ⊗, possessing the following properties. For all real numbers and all points :
(V1) ,
(V2) ,
(V3) ,
(V4) ,
(V5) ,
(V6) ,
(V7) ,
(V8) .
Like gyrogroups, also gyrovector spaces are studied in the literature. The papers [41,42,43,44,45] are devoted to various aspects of Möbius gyrovector spaces. Einstein and Möbius gyrovector spaces in the context of a gyrovector space approach to hyperbolic geometry are the subject of Reference [6]. Generalized gyrovector spaces are studied in References [46,47,48]. Interesting results about the differential geometry of some gyrovector spaces may be found in Reference [49]. Other interesting studies of gyrovector spaces are found in References [50,51,52,53,54,55].
In this paper we introduce, within the framework of differential geometry, a large number of gyrocommutative gyrogroup operations, which enjoy key properties of Einstein addition and Möbius addition. Furthermore, we present corresponding scalar multiplications that turn these gyrocommutative gyrogroups into gyrovector spaces.
3. Metric Tensors
In this section we consider metric tensors that satisfy certain conditions, and derive equations for geodesics and parallel transports for these tensors.
3.1. Parametrization of Metric Tensors
For every smooth binary operation : ,
we determine a matrix function by the equations
for all .
We consider three conditions on the tensors G. These are—(i) rotation invariance; (ii) two-dimensional plane invariance; and (iii) smoothness.
Rotation invariance. For every unitary -matrix U and we have
Plane invariance. For every and every two-dimensional plane that contains a and b, the whole geodesic with initial conditions and belongs to this plane.
Smoothness. The function G is differentiable in .
The first property means invariance with respect to rotations. The second property means that every geodesic belongs to a plane that contains its initial data. In particular, if a and b belong to the same line l, then . The third property is a standard assumption that allows to derive the differential equations for geodesics.
These three properties are valid if there exist differentiable functions : such that , , for all , and
The inverse matrix of in (6) exists, being given by
We say that the metric tensor in (6) is parametrized by the two functions and . Special attention will be paid to two parametrizations of .
The first parametrization of is when and are given by
which will be associated with Einstein addition. Einstein addition, in turn, is the binary operation that results from Einstein’s addition law of relativistically admissible velocities in special relativity theory [1].
The second parametrization of is when and are given by
which will be associated with Möbius addition. Möbius addition, in turn, is a natural generalization to the ball of a well known Möbius transformation of the disc [4].
In order to construct binary operations that result from metric tensors G we will find the differential equations for geodesics and parallel transports. To this end we have to calculate the Christoffel symbols in Section 3.3.
3.2. Geodesics
Assume x: is a curve in . The length of this curve is
Denote , , , and
Assume minimizes l over all smooth curves x such that , . Use a new parametrization
Then, .
According to Euler-Lagrange equations for all we have
This equation takes the form
Denote the entries of the matrix by . Then (14) is equivalent to the following. For all
Denote
Note that along every geodesic the function
is constant.
3.3. Christoffel Symbols
For the sake of brevity we omit the arguments of the functions : , and of the derivatives of these functions,
We also use the Kronecker delta which is equal to one if , and to zero otherwise. The elements of the metric tensor in (6) have the form
Then
The partial derivatives of are given by
Now we introduce the functions ,
Therefore, Christoffel symbols are given by
Having the Christoffel symbols , we are in the position to calculate the equation of geodesics in Section 3.4.
3.4. Geodesics
The well known differential equation of geodesics is (17). Substituting the values of Christoffel symbols from (24) into (17) yields
In the special case when the initial values and are parallel, that is, and for some vector a and numbers , , the solution of (25) has the form
Here, the scalar function r, to be determined, satisfies the initial conditions and , along with the differential equation
or, equivalently,
Noting the notation that we use, (28) can be integrated, obtaining
where is an arbitrary constant.
Equation (30) is separable, giving rise to the equation
Let us now consider the important special case when and (this means and ). In this special case (34) reduces to
Formula (35) will prove useful in the definition of special binary operations and in the introduction of norms associated with these operations.
3.5. Parallel Transport
The well known differential equation for a parallel transport of a vector along a curve x is [56]
With the initial condition , (38) has the solution
In particular, at , we have
If the vectors and a are not parallel, then the first term in (39) describes the evolution of in a direction orthogonal to a in the plane determined by the vectors and a, and the second term in (39) describes the evolution of in a direction parallel to a.
If we multiply the functions and by the same positive number, then equation (25) of geodesics and (37) of parallel transport remain unchanged. Hence, without loss of generality we may assume that .
Assumption 1.
The functions and satisfy .
4. Binary Operations
We are now in the position to define a binary operation ⊕ in that results from the metric tensor G in (6).
4.1. Vector Addition
In this subsection we define a binary operation ⊕ in the ball . Let vectors be given. If , then . If , then . For the case , we perform the following four steps that lead to the definition of .
Step 2. We calculate the value using Formula (40) with initial condition ,
Step 3. We solve the second order differential Equation (25),
with initial conditions , .
Step 4. A binary operation is defined by the equation
We say that the binary operation ⊕ in is generated by the metric tensor G given by (2).
4.2. Elementary Properties of the Binary Operations ⊕
Lemma 1.
For every vector
Proof.
The first equation stems from the definition of ⊕. Assume , , . Applying steps 1–4, we have
Consider a solution x of Equation (43) with initial conditions , . Since the vectors , are parallel to v, the solution x has the form , where g is a scalar function to be determined. Equation (43) shows that g satisfies the conditions
The solution g of this initial value problem satisfies the equation
Obviously, . Hence, . □
4.3. Metric Tensors Associated with Binary Operations
In this section we show that the metric tensor G that generates the operation ⊕ can be recovered from the operation ⊕.
Theorem 1.
Let G be given by (6) and let ⊕ be the binary operation (44) generated by G. Furthermore, for every let be the -matrix such that
Then
Proof.
The matrix
exists since the functions and are smooth. It is sufficient to prove that
when , and
when .
Let’s assume that the vectors and are parallel, that is, for some number we have . We use the procedure described in Section 4.1 with and . Then, following (40),
The vectors and are parallel. Hence (25) takes the form
with initial conditions , . The unique solution of this initial value problem has the form , where the scalar function q satisfies the second order differential equation
and the initial conditions
Integrating Equation (57) yields
Equation (59) is separable. Integrating it over the interval yields
Therefore
and
Since , we get
Thus, for , and we have
so that (53) is proved.
We now assume that . Then , and
Let us consider the solution x of (25) with initial conditions and . For every the vector belongs to a two-dimensional plane that contains and . We introduce an orthonormal basis with the first unit vector , and the second unit vector , and use the notation and .
Then for all . Owing to (25), the functions and satisfy the same second order differential equation
with initial conditions
where
Since the functions and are bounded on and , , we have
uniformly for . Denote by a solution of Equation (25) with initial data
Then , for all , is increasing, and
Denote by the value such that . Then . On the interval we have
On the other hand for every differentiable scalar function w we have
Therefore, there exist constants and that are independent of bounded , and such that
Since x and are solutions of Equation (66), there exist constants , and independent on bounded and such that
Taking into account that , , we get
Since , for we have
In particular,
In order to prove (54) we consider the Wronskian
It is well known that
First, we calculate the exponent. Since and , we have
Hence,
Then, we calculate the values of the Wronskian:
Thus
Taking into account that and , we get
and
This completes the proof of the theorem. □
Theorem 1 shows that there is a one-to-one correspondence between metric tensors G in the form (6), and binary operations ⊕ that G generates, as defined in Section 4.1.
4.4. Multiplication of Vectors by Numbers
In this subsection we define a function ⊗: (multiplication of vectors by numbers) that is compatible with the binary operation ⊕ in the sense that
for all . Notice that and in (91) are the common addition and multiplication of and in . The first identity in (91) is called the scalar distributive law, and the second identity in (91) is called the scalar associative law.
Let be two nonzero parallel vectors (that is, belong to the same line passing through the origin). We calculate using the four steps described in Section 4.1.
Step 1. We define
Step 2. We compute using (40) with , noting that
Then
Step 3. We integrate Equation (25) with initial data and . We parametrize the solution x as follows: with scalar function p. Then , , . Equation (34) implies
Therefore
Following obvious simplifications we get
Step 4. We have .
Therefore . We define a function h as follows. For every number p we set
Then, and
The function h is monotonically increasing. Therefore, h is invertible, the inverse of which is denoted by .
Assumption 2.
We assume that
Under this assumption the function h is a bijection . In particular, , and for every and there exists .
Now for every number t we define
Then and . We assume , . Then
Now we have
and
Owing to the property , the cases with and of arbitrary signs are considered similarly. Accordingly, the operation of multiplication by a number is well defined.
4.5. Distances and Norms
We introduce the standard definition of distance between points a and b of the unit ball .
Definition 4.
The distance between points is the minimal length of a curve connecting a and b,
where the minimum is taken over all smooth functions x: with boundary conditions and .
Obviously, for all , and iff since for all . Besides, we have the triangle inequality: for all
The value is called the norm of a, denoted by .
Lemma 2.
For every there exists such that .
Proof.
Fix arbitrary points . Since is convex, there exist curves in connecting a and b. The minimum of the lengths of such curves does exist since as . Let this minimum be attained at a curve q: . Then q is a geodesic which connects a and b: , . Consider the vector . Make a parallel transport of this vector along the interval connecting a and the origin. Denote the vector at the origin by y. Consider a geodesic w: with initial conditions , . Denote . Then according to the steps 1,2,3 described in the Section 4.1 we have . The lemma is proved. □
Consider a geodesic x: with boundary conditions and . It is known that is equal to the length of this geodesic, and that along the geodesic the integrand on the right-hand side of (107) is constant [56]. Therefore
Let us consider a geodesic y: with boundary points and . The value of is constant over . Hence,
But the vector is a parallel transport of the vector along the curve . Therefore,
Finally,
In Section 3.4 we found that , and
In view of the equation
we have
Interestingly, the norm does not depend on the function . In particular, if we have two spaces with metric tensors that have the same function , then the distances between points (and hence the norms) in these two spaces coincide, and the operations of multiplication by a number also coincide. We’ll see this result in several examples, including the spaces with Einstein and Möbius additions.
Now let us consider a binary operation ⊕ applied to numbers. That is, given functions , , we consider the tensor G given by (6), and its resulting binary operation ⊕ introduced in Section 4.1. Also, let’s consider a tensor with the same functions and in the one dimensional space. The corresponding operation between numbers is denoted by the same symbol, ⊕.
For arbitrary numbers p, q the value of is defined by the four-steps procedure presented in Section 4.1. If , then . Assume .
Step 1. We calculate
Step 2. Since , we have
Step 4. Since , we have
Thus, taking into account the definition of the function h, we get
Similarly, the operation ⊗ for numbers is defined by (101). In particular, for arbitrary numbers r and p we have
Thus, for every number r and vector
Let . The triangle inequality implies
and equality is attained only if the vectors a and b belong to the same ray, that is, if there exists a positive number such that .
Employing (121), we get
We have thus proved the following theorem.
Theorem 2.
For all vectors we have the gyrotriangle inequality
and equality is attained iff the vectors lie on the same ray, that is, for some nonnegative number λ we have or .
Inequality (127) may be considered as a triangle inequality in the spaces of vectors and numbers with the same addition operation ⊕.
It is shown below that for Einstein addition and all additions isomorphic to Einstein addition (for example, Möbius addition) a solution of the equation is given by . Hence, we have the following result.
Theorem 3.
If a solution x of the equation is given by , then
5. Spaces with Einstein Addition
In this section, we consider a special binary operation in the Beltrami-Klein ball model of hyperbolic geometry that turns out to be Einstein addition [1,5].
5.1. Einstein Addition
We follow the four steps described in Section 4:
Step 1. We evaluate
Step 2. We find a solution of Equation (40) with ,
Step 3. We solve Equation (25) with initial conditions , . Noticing that
Equation (25) takes the form
The solution to the initial value problem is given by
Step 4. Finally, we obtain the addition
for all , which is recognized as Einstein addition.
The binary operation described in Section 4 enables Einstein addition (136) to be recovered from the metric tensor (130). Thus, the operation is determined by its local properties in a neighborhood of the set .
The binary operation in (136) turns out to be the well known Einstein addition in the ball, studied in special relativity theory, where the speed of light in empty space is normalized to [1,4,5].
5.2. Einstein Multiplication by a Number
To define an operation of multiplication by a number we evaluate the function h in (98) with the function in (129), obtaining,
Therefore, by (101),
5.3. Derivation of the Metric Tensor Associated with Einstein Addition
We have derived Einstein addition from the metric tensor (130). According to Theorem 1 we can make also the reverse procedure, that is, we can recover the metric tensor (130) from Einstein addition. In this subsection we demonstrate it directly. Let us consider the Einstein difference in the following chain of equations.
where the -matrix is given by
Then, the metric tensor is given by the equation
thus recovering (130).
6. Spaces with Möbius Addition
6.1. Möbius Addition
Again, we follow the four steps described in Section 4.
Step 1. Similar to the case of Einstein addition, we evaluate
Step 3. We solve the initial value problem
seeking a solution of the form
with constant vectors P, , .
The initial value problem (147) has a solution (148) with the following parameters and a function , as may be checked directly,
Therefore,
We notice that
and
Therefore, each geodesic is a circular arc centered at P with radius , which intersects the unit circle orthogonally, and it tends to one of these two intersections as and as .
Step 4. Finally, we get
for all , which is the well known formula for Möbius addition in the ball [1,4].
Möbius addition is recovered here from the metric tensor (143). Thus, the operation is determined by its local properties in a neighborhood of the set .
6.2. Möbius Multiplication by a Number
Since the function is the same for both Einstein and Möbius metric tensors, the multiplication by a scalar is the same as in (138) in Section 5.2,
6.3. Derivation of the Metric Tensor Associated with Möbius Addition
As for Einstein addition, to recover the underlying metric tensor from its associated Möbius addition it is possible to use Theorem 1. In this subsection we calculate directly the metric tensor G that determines the binary operation . Let us consider the Möbius difference
where
Then, the metric tensor is given by the equation
thus recovering (143).
7. A Space with an Operation Isomorphic to Euclidean Addition
Assume
Then the metric tensor (6) takes the form
7.1. Binary Operation
We follow the four steps described in Section 4.
Step 1. We calculate
Step 2. We find a solution of Equation (40) with ,
Step 3. We solve Equation (25) with initial conditions , . Noticing that
we see that Equation (25) takes the form
Assume vectors a and b are not parallel. The solution of the initial value problem lies entirely in the plane containing the vectors a and b. Denote by
the component of vector b orthogonal to a. Denote . Then the vector function x may be presented in the polar coordinates as follows:
where is a scalar function, the angle of x in the plane with unit vectors and . Then , , , and
Equation (169) can be written as
Hence, there exists a number C such that
Since , we have , and for all .
It follows that if , then for all . If , then there exists a number such that for all , , and for all . Notice that
Therefore, . Below we consider the case . The case may be studied in a very similar manner and leads to the same formula for .
Since
there exists a constant such that
Equation (177) is autonomous, and therefore separable,
Let’s calculate C and in terms of a and b. Let
and let be the angle between a and b:
Then
We have ,
Therefore,
For every t we have
Therefore
From (171) we get
Now we calculate the constant using (177),
Changing the variable of integration on the left-hand side, and using the initial condition , we have
Both integrals can be evaluated in terms of elementary functions,
In order to calculate , we solve Equation (171) for ,
Then, we multiply and divide the right-hand side of (190) by , use Equation (192) and integrate (190) over taking into account that , obtaining
Noticing that
and
we have
Step 4. We set
To see that the novel operation ⊕ in the ball of is isomorphic to the Euclidean vector addition in , let us consider the mapping f: given by
Then
and
Equation (202) implies that the novel operation ⊕ in the ball is isomorphic to the Euclidean operation, +, in and hence it is commutative and associative.
7.2. Multiplication by Numbers
To define the operation ⊗ of multiplication by numbers satisfying properties (91) in the Section 4.4 we have to introduce the function h: , (98),
Obviously, h is an increasing bijection. Therefore the inverse function exists. It is easy to see that
The operation ⊗ is given by Formula (101), which in our case has the form
Equations (202) and (206) imply the distributive property of the operations ⊕ and ⊗: for any numbers , , and vectors we have
Thus, the operation ⊕ is isomorphic to Euclidean addition.
7.3. Derivation of the Metric Tensor Associated with the Binary Operation
To recover the underlying metric tensor from the operation ⊕ we can use Theorem 1. Noticing that
we have
8. Properties of Einstein Addition
Seemingly structureless, Einstein addition is neither commutative nor associative. The Einstein groupoid formed by the ball equipped with Einstein addition is a gyrocommutative gyrogroup. A gyrogroup is a group-like object that possesses a rich structure [1,5], formally defined in Definitions 1 and 2, Section 2. Einstein addition is a gyrocommutative gyrogroup operation, several properties of which are presented below.
- Left Cancellation Law:
- Existence of Gyrations: for every there exists a unitary matrix denoted by such that for all we have the following gyroassociative law:
- Gyrocommutative Law:such that
- Left Reduction Property:
The validity of these properties was proved by using computer algebra (specifically, the software MATHEMATICA for symbolic manipulation). Below we prove these properties by hand using the definition of Einstein addition (136), and provide the matrix representation of gyrations .
8.1. Left Cancellation Law
By Einstein addition (136), we have
We notice that
and
Therefore,
thus proving the left cancellation law.
The property established in this subsection may be reformulated as follows. For every vectors there exists a unique vector such that
and, moreover,
8.2. Existence of Gyrations
Evaluating the squared norm yields an elegant result,
The function on the extreme right-hand side of (223) is symmetric with respect to . Hence, . Owing to this symmetry, there exists a unitary matrix which is the identity matrix in the subspace orthogonal to both a and b, and which maps to . This matrix is said to be the gyration generated by a and b, and is denoted by . Gyrations play an important role in the geometric theory of spaces with the binary operation . Hence, we introduce them along with their properties in Section 8.3.
8.3. Definition of Gyrations
For every three vectors we consider a vector given by
First we check that d depends on c linearly, that is, d is equal to some matrix depending on a, b only, times c. This matrix is destined to be called the gyration matrix generated by a and b.
Owing to the left cancellation law, Equation (224) is equivalent to
Furthermore, we need identity (228) of the following Lemma.
Lemma 3.
For every vectors we have
Proof.
This assumption will be verified later, below (237).
Then, taking into account Lemma 3, we see that (225) is equivalent to
To prove that (233) is a solution of (225) for the unknown d, we need only to show that (231) holds.
By means of (136), we have
The terms without c in the big square brackets cancel each other, and we get the following expression for d, which is linear in c,
Now we check condition (231). We use the following four formulas,
in the representation
to show by direct calculations that the right-hand side of (237) vanishes. Hence, Equation (231) is true. Therefore, the vector d satisfies (225). Equation (235) shows that d depends linearly on c,
where M is a matrix depending only on a and b. This matrix is called the gyration matrix generated by a and b, and is denoted by .
8.4. Properties of the Gyration
We have already shown that the gyration operator , defined by the identity
is linear, that is, for some matrix M. Below we determine the matrix M and prove that M is unitary.
From (235) and (238) we obtain the following representation of the matrix M.
where the scalar functions are given by
Lemma 4.
The matrix M is unitary,
Proof.
We have
where the numbers are given by
Straightforward calculations show that all these numbers vanish. To show these results we use the notation and , so that and . Indeed, we have
and
The proof of the Lemma is, thus, complete. □
Lemma 5.
If vectors a and b are parallel, that is, there exists a non zero pair of numbers (, ) such that
then
Proof.
Corollary 1.
For every numbers , and a vector we have
8.5. Reduction Property
In this subsection we establish property (216) of Einstein addition. Let
be the well known Lorentz gamma factor of special relativity theory [1,5]. Then, in view of (242) we have
Lemma 6.
For every vectors we have
Proof.
By straightforward calculations we have the following identities,
and
Hence, we have
and
Therefore,
where the coefficients are evaluated straightforwardly,
Thus,
The proof of the Lemma is, thus, complete. □
8.6. Gyrocommutative Law
We are now in the position to prove the gyrocommutative law (214) of Einstein addition.
Lemma 7.
For every vectors we have
Proof.
Equation (225) with yields the equation
where .
The value of d exists and is unique owing to the left cancellation law. Furthermore, we show that satisfies (271). Indeed, for every vector we have
In particular,
Then,
Using the formula
we get
Therefore, Equation (271) can be written as
Now we add from the left to both sides of (278), obtaining
Recalling that , we get the assertion (270) of the lemma. The proof of the Lemma is, thus, complete. □
8.7. Gyrations Preserve Einstein Addition and Multiplication
For any , the operator is linear, being given by a multiplication by a unitary matrix. Interestingly, it is also gyrolinear in the sense that
for all and .
A result that generalizes (280) is stated in the following Lemma.
Lemma 8.
For every unitary matrix U, for every vectors , and every numbers we have
Proof.
The proof follows from properties of Einstein addition and multiplication. For every
and for every vector and positive number t,
The proof of the Lemma is, thus, complete. □
The following two corollaries are immediate consequences of Lemmas 8 and 4.
Corollary 2.
For every unitary matrix U, for every vectors , and every numbers we have
Corollary 3.
For every vectors we have
8.8. Gyrogroups and Gyrovector Spaces
Assume , are the Einstein addition and scalar multiplication respectively.
Theorem 4.
The groupoid is a gyrocommutative gyrogroup.
Proof.
Theorem 5.
The triple is a gyrovector space.
Proof.
We need to check properties (V0)–(V8) in Definition 3. Property (V0) follows from (285), property (V1) follows from (105), property (V2) follows from (103), property (V3) follows from (104), property (V4) follows from (106), property (V5) follows from (280), property (V6) follows from (253), property (V7) follows from (123), and property (V8) follows from (127). □
8.9. Einstein Coaddition
We now consider the similar equation
in for the unknown x.
Motivated by (288) we introduce the Einstein coaddition
and use the notation
so that the solution of equation (287) is given by
Accordingly, in this section we calculate
Let
Then,
where
and
We have
for any .
Using the standard notation for the Lorentz factor in (254), we have the equation
which is well known ([5] p. 92). An extension of (301) to more than two summands is presented in ([5] p. 425). It is clear from (301) that Einstein coaddition in is commutative,
In order to calculate the metric tensor for the binary operation ⊞ in we obtain the equation
Hence, the metric tensor for the binary operation ⊞ has the form
The metric tensor possesses the form of (6) with
We should note that the function is the same as for Einstein addition and Möbius addition. Hence, the distances for all these three binary operations are the same (115):
where is the Euclidean norm. Moreover, the multiplication by a number is the same for all these three binary operations,
We can use also the standard Euclidean norm . Notice that for numbers (that is, for ) all binary operations coincide,
Therefore, if ⊕ is one of the operations , , ⊞, then for all ,
and the equality occurs if and only if for some nonnegative number t we have or .
Author Contributions
All authors contributed equally to this article. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Conflicts of Interest
The authors declare no conflict of interest.
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