Abstract
Scators form a vector space endowed with a non-distributive product, in the hyperbolic case, have physical applications related to some deformations of special relativity (breaking the Lorentz symmetry) while the elliptic case leads to new examples of hypercomplex numbers and related notions of holomorphicity. Until now, only a few particular cases of scator holomorphic functions have been found. In this paper we obtain all solutions of the generalized Cauchy–Riemann system which describes analogues of holomorphic functions in the -dimensional scator space.
1. Introduction
Scators, as defined by Manuel Fernández-Guasti and Felipe Zaldívar [1], form a linear space with a specific multiplicative structure. In fact, we have two different structures: elliptic and hyperbolic. Namely, in the elliptic case, the scator product of scators and is given by , where
provided that and (more general case is presented and discussed in [1]). In the hyperbolic case, the formula is very similar (all minuses are replaced by pluses). In principle, one can consider mixed cases as well. The scator product is non-distributive, although a distributive approach has been proposed recently [2,3]. The so-called restricted space (defined by for ) is an abelian group with respect to the scator product.
In the hyperbolic case, scators have potential physical applications related to generalizations of the special theory of relativity (breaking the Lorentz symmetry) [4,5]. The elliptic case is an interesting new example of (non-distributive) hypercomplex numbers [6].
Any hypercomplex numbers, like quaternions or Clifford numbers, lead to a natural question of defining and finding anlogues of holomorphic functions. In this paper, following [7], we focus on the most straightforward definition of holomorphicity, i.e., existence, at any point, of a direction-independent derivative. Fernández-Guasti derived a system of partial differential equations which assures scator differentiabiliy of this kind [7]. They can be considered as a generalization of Cauchy–Riemann equations of standard complex analysis:
for all , where m and j take values from 1 to n. Note that the last (nonlinear) equations appear only for . The generalized Cauchy–Riemann Equation (2) consists of a set of linear equations (n copies of the Cauchy–Riemann equations, in fact) and a set of nonlinear equations (for ). The latter is the main difference with the standard case of complex holomorphic functions (i.e., the case ).
In this paper, we are going to solve the open problem of finding all solutions of the system (4) in the case . Until now only two particular solutions were reported: four-parameter family of linear affine functions [7] and components exponential function [8].
2. Generalized Cauchy–Riemann System in the Case
In this paper, we confine ourselves to the elliptic scator space of dimension . We introduce the notation:
In the new notation, the generalized Cauchy–Riemann system (2) takes the following form
where here and throughout the rest of this paper the subscripts mean partial derivative with respect to the corresponding variable.
Theorem 1.
The full set of solutions to the generalized Cauchy–Riemann Equation (4) consists of three families.
- Components exponential functions
- Linear functions
- Exceptional solutions
where and are real constants (, ), and and are arbitrary functions of one variable.
The above set of solutions is not very rich, but one has to remember that in the case of quaternionic analysis the analogous set is much narrower and consists only of linear affine functions [9,10]. Therefore the quaternionic analysis, like the Clifford analysis, has to use other definitions of holomorphicity, see, e.g., [11].
In next sections, we present the proof of Theorem 1, by straightforward derivation of all solutions. It is convenient to divide the computation into three cases related to vanishing of the first and second x-derivatives of u.
3. Components Exponential Functions
This is the case characterized by
We are going to express the variables v and w in terms of u and its derivatives:
Necessary conditions for the existence of v and w (provided that u is known) are given by:
In other words, removing a redundant equation, we have:
or, in the matrix form:
where and were replaced by . This equation can be solved by inverting the matrix on the left-hand side:
Now, the right-hand side turns out to be surprisingly simple and Equation (14) is equivalent to the following system of three equations:
The first two equations can be expressed as conservation laws and, then, easily solved:
where f and g are some functions of two variables. Substituting (16) into Equation (15) we obtain
Then, using (17), we obtain and , i.e.,
Now, differentiating (16) with respect to y and z, respectively, we get
where we took into account and . Therefore:
Thus, by virtue of (19), we have
where . In this section, due to the condition (8), we confine ourselves to . Then
where p and q are functions of two variables and and are constants. Then, Equation (16) imply
The last two equations can be solved, yielding
where . Hence, u is proved to be of the form (5). Note that now the equations from the first line of (12) are identically satisfied. Finally, the system (9) takes the form
and its only solution is given by the last two equations of (5). Special case and , known as components exponential function, was shown to be differentiable (i.e., scator holomorphic) earlier, see [8], Lemma 2.
4. Linear Functions
Linear functions satisfying (4) can be obtained directly, by substituting a linear ansatz and computing its coefficients. However, in order to obtain all solutions to (4), we follow the pattern of the previous section, now assuming:
Then, the third equation of (22) implies .
where and are real constants (). Moreover, due to (22), and , and from (16) we have
Hence
where and are real constants. Special case (linear affine functions) was shown to be differentiable in [7], Lemma 4.1.
5. Exceptional Solutions
The last case corresponds to . Then Equation (4) yields, immediately, , and, the last equation reads . Thus we have two distinct subcases: (i.e., ) and (i.e., ).
- , , .Then and . Hence and we get the following solution:where and are constant and and are arbitrary functions of one variable.
- , , .Then, and . Hence and, as a result, we get the solution:where and are onstant and and are arbitrary functions of one variable.
Finally, we derived all solutions to the system (4) and thus Theorem 1 is proved.
Author Contributions
Conceptualization, J.L.C.; methodology, J.L.C.; validation, J.L.C. and D.Z.; formal analysis, J.L.C. and D.Z.; investigation, J.L.C. and D.Z.; writing—original draft preparation, J.L.C. and D.Z.; writing—review and editing, J.L.C. 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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