1. Introduction
Attempts of generalization of the concept of number were made in mathematics repeatedly. The very first, appeared successful, the concept of the imaginary which can be provided by ordered couple of real numbers is, the set of such numbers forms the field, as well as the set of real numbers. Imaginaries were extremely useful both in theoretical, and in applied application: many problems seeming unapproachable received transparent treatment in terms of the complex analysis and were solved in the general view. For example, the main theorem of algebra of availability at least of one root at the polynomial, other than the constant, with complex coefficients in the field of imaginaries can be the example. The complex analysis plays the important role in plane problems of mathematics and mechanics.
The following generalization of the concept of number is the hyper complex four-dimensional numbers offered by William Hamilton --- quaternions [
1] which found important applications in physics. However it should be noted, quaternions owing to lack of commutativity of multiplication do not form the field, and, for this reason their application is limited. Because of not commutativity of multiplication it was not succeeded to construct the full-fledged four-dimensional calculus which would generalize one-dimensional and two-dimensional analogs.
The known theorem of Frobenius [
2] claims that it is impossible to expand further the concept of number, without having offered some arithmetic property. At the beginning of the 21st century the Kazakhstan mathematician M. M. Abenov developed other than quaternions four-dimensional mathematics [
3] in which multiplication of numbers is associative and commutative, but at the same time it is necessary to deal with zero divisors. Abenov managed to construct the harmonious theory which he called four-dimensional mathematics, and showed some of its applications to the solution of problems of hydrodynamics. Further in work [
4] he together with M. B. Gabbasov received other four-dimensional spaces of numbers. In work [
5] of M. B. Gabbasov with coauthors analytical solutions of the initial value problem for mathematical model of the theory of filtration in the three-dimensional non-stationary case are received. This article serves as the purpose of synthesis of this theory in the so-called anisotropic case when different measurements have different scales, at the same time the commutativity and associativity of multiplication remain. It is important to note that the offered vector spaces of four-dimensional numbers are natural generalization of spaces of one-dimensional and two-dimensional (complex) numbers.
-
1.
Various anisotropic spaces of four-dimensional numbers
Let's consider space of four-dimensional numbers where
Two numbers and are considered as equal if
Let's enter addition and subtraction operations as coordinate-wise addition and subtraction which are associative and commutative.
Let's enter multiplication operation so that it was associative and commutative. Let’s given four real numbers
, such are set
that
. We will call the anisotropic product of numbers
and
a number
where
Further instead of the anisotropic product we will often use just "product" or -product.
Theorem 1. The entered operation of multiplication meets the following conditions:
- 1)
(commutativity of multiplication);
- 2)
(associativity of multiplication);
- 3)
(associativity of multiplication concerning addition),
for any .
Proof. It is carried out by direct check.
We will call the real number.
Follows from ratios (1) that at multiplication of real number a by four-dimensional number there is the coordinate-wise multiplication on , that is .
The following four numbers are called basic numbers: , , , .
Let's construct the multiplication table of basic numbers (
Table 1):
Then any four-dimensional number can be represented as an expantion by basic numbers .
The following four numbers are called unit numbers: , , , . For any number we have .
Let be a four-dimensional number. Let's consider together with it the following numbers:
,
,
.
Let's calculate the product :
,
,
.
Thus, is the real number.
Definition. The symplectic module of four-dimensional number
is called the real number
At the same time we assume that numbers are set so that expression under the radical is non-negative. As we will see below, such cases are possible, that is there are such values that the four-degree form in the right part of (2) is positively defined for any .
Definition. The number
is called the conjugate number to number x.
Direct calculation gives the conjugate number to four-dimensional number :
,
,
,
.
Respectively, the conjugate numbers to basic numbers are:
, , , .
The conjugate numbers to unit numbers are:
, , , .
Let
be a four-dimensional number with non-zero symplectic module. Then there exist unique
called the inverse to
x, so that
. Multiplying both parts of the last equality by
we will get
or
. Let's multiply both parts of this equality by number
, then, taking into account that
, we will obtain
. Reducing both parts of equality by
we have
Then we will define division operation of four-dimensional numbers as if .
We investigate for what values of constants , the symplectic module (2) is non-negative for any . For this purpose we will consider various cases of signs of these constants.
This case coincides with the general case considered above. In this case the symplectic module of four-dimensional number (2) can be represented in the following form:
or in the following forms
and
As seen from these formulas, the symplectic module of number in this case is not positively defined, so that is not the module. If the module of number is not well-defined, then further constructions do not make sense.
-
2.
Case , , .
In this case we will replace in definition of multiplication of numbers (1)
with
and we will consider
in further. Then multiplication of two four-dimensional numbers is defined by formulas
Then multiplication table of basic numbers takes the following form (
Table 2):
In this case the module of four-dimensional number (2) can be transformed as follows:
As seen from
Table 2 the basic numbers
and
are real, and basic numbers
and
are imaginary. At the same time the module of number
is defined by the formula
, that is the number
can be accepted as the imaginary.
The conjugate number to the number is defined by the formula:
,
,
,
.
Respectively, the conjugate numbers to basic numbers have the form:
, , , .
The conjugate numbers to unit numbers have the form:
, , , .
The conjugate number to the imaginary number has the form , that easily follows from the last formulas.
Let's denote the received space of four-dimensional numbers by where the index 2 stands for the number of the considered case and we will call it anisotropic space of four-dimensional numbers.
Let's associate with each four-dimensional number
some matrix
of the following form:
The mapping is one-to-one and surjection. Indeed, for two different numbers and there correspond different matrices and for any matrix of the specified form it is possible to find the corresponding four-dimensional number.
Then multiplication of two four-dimensional numbers and in the space can be represented in the form where the multiplication sign in the left part is understood in the sense of (5), and multiplication sign in the right part is treated as multiplication of the matrix by the vector.
Thus, we defined alternative definition of multiplication of four-dimensional numbers by the matrix (7).
The inverse number to four-dimensional number in the sense of multiplication is defined by the formula (4), if . Then we will define division operation of four-dimensional numbers as , if .
We will call space
isotropic space
. In isotropic space the multiplication of two numbers is defined by equalities
and the matrix
has the form
The symplectic module of four-dimensional number in isotropic space
has the form
-
3.
Case , , .
In this case we will replace in definition of multiplication of numbers (1)
with
and we will consider
in further. Then multiplication of two four-dimensional numbers is defined as follows
The multiplication table of basic numbers it is provided in
Table 3.
In this case the module of four-dimensional number (2) can be transformed as follows:
As seen from table 3 the basic numbers and are real, and basic numbers and are imaginary. Then in this case as the imaginary we will accept number . Respectively, the module of the imaginary is defined by the formula .
The conjugate number to number is defined by the formula:
,
,
,
.
Respectively, the conjugate numbers to basic numbers have the form:
, , , .
The conjugate numbers to unit numbers have the form:
, , , .
The conjugate number to the imaginary number has the form .
Let's denote the received anisotropic space of four-dimensional numbers, similarly to the previous case, by .
The matrix
from (7) in this case looks as follows:
The mapping is one-to-one and onto, and multiplication of two four-dimensional numbers and in space can be represented in the form . Division operation is defined similarly to the Case 2.
We will call space
isotropic space
. In isotropic space the multiplication of two numbers is defined by equalities
and the matrix
has the form
The symplectic module of four-dimensional number in isotropic space
has the form
It is isotropic space
is considered in [
1].
Case , , .
In this case we will replace in definition of multiplication of numbers (1)
with
and we will consider
in further. Then multiplication of two four-dimensional numbers is defined by formulas
The multiplication table of basic numbers takes the form given in
Table 4.
In this case the module of four-dimensional number (2) can be transformed as follows:
As seen from table 4 the basic numbers and are real, and basic numbers and are imaginary. Then in this case as the imaginary number we will accept number. Respectively, the module of the imaginary is defined by the formula .
The conjugate number to number is defined by the formula:
,
,
,
.
Respectively, the conjugate numbers to basic numbers have the form:
, , , .
The conjugate numbers to unit numbers have the form:
, , , .
The conjugate number to the imaginary number has the form .
Let's denote the obtained anisotropic space of four-dimensional numbers by .
The matrix
from (7) in this case looks as follows:
It is also easily proved that the mapping is one-to-one and on. Alternative definitions of multiplication and division operations are defined as well as in the previous cases.
We will call space
isotropic space
. In isotropic space the multiplication of two numbers is defined by equalities
and the matrix
has the form
The symplectic module of four-dimensional number in isotropic space
has the form
- 4
Case , , .
In this case multiplication of two four-dimensional numbers is defined by formulas
At the same time further we consider that , , .
The multiplication table of basic numbers takes the form given in
Table 5.
In this case the module of four-dimensional number (2) can be transformed as follows:
In this case the module of the imaginary number is defined by the formula because as imaginarie numbers we take , as well as in case 4.
Notice that if modules of four-dimensional numbers in cases 2, 3 and 4 were expressed similarly, then the number module in this fifth case significantly differs from the previous cases.
The conjugate number
to number
is defined by the formula:
Respectively, the conjugate numbers to basic numbers have the form:
The conjugate numbers to unit numbers have the form:
The conjugate number to the imaginary number has the form .
Let's denote the obtained space by .
The matrix
from (7) in this case looks as follows:
It is also easily proved that mapping is one-to-one and on. Alternative definitions of multiplication and division operations are defined as in the previous cases.
We will call space
isotropic space
. In isotropic space the multiplication of two numbers is defined by equalities
and the matrix
has the form
The symplectic module of four-dimensional number in isotropic space
has the form
In [5, 6] properties of isotropic space
are investigated.
- 5.
Case.
In this case multiplication of two four-dimensional numbers is defined by formulas
Here we consider that
in further.
The multiplication table of basic numbers is provided in the following
Table 6.
In this case the module of four-dimensional number (2) can be transformed as follows:
In this case the module of the imaginary number is defined by the formula .
Definition of the module is somewhat similar to the previous case 5.
The conjugate number
to number
is defined by the formula:
Respectively, the conjugate numbers to basic numbers have the form:
, , , .
The conjugate numbers to unit numbers have the form:
The conjugate number to the imaginary number has the form .
Let's denote the obtained space by .
The matrix
from (7) in this case looks as follows:
Obviously, mapping is one-to-one and onto, and defines alternative definition of multiplication of four-dimensional numbers in space .
We will call space
isotropic space
. In isotropic space the multiplication of two numbers is defined by equalities
and the matrix
has the form
The symplectic module of four-dimensional number in isotropic space
has the form
- 6.
Case .
In this case multiplication of two four-dimensional numbers is defined by formulas
Here we consider that in further.
The multiplication table of basic numbers takes the form given in
Table 7.
In this case the module of four-dimensional number (2) can be transformed as follows:
Here the module of the imaginary number is defined by the formula .
The conjugate number to number is defined by the formula:
,
,
,
.
Respectively, the conjugate numbers to basic numbers have the form:
, , , .
The conjugate numbers to unit numbers have the form:
, , , .
The conjugate number to the imaginary number has the form that easily follows from the last formulas.
Let's denote the obtained anisotropic space of four-dimensional numbers by .
The matrix
from (7) in this case looks as follows:
We will call space
isotropic space
. In isotropic space the multiplication of two numbers is defined by equalities
and the matrix
has the form
The symplectic module of four-dimensional number in isotropic space
has the form
- 7.
Case .
In this case multiplication of two four-dimensional numbers is defined by formulas
.
Here we consider that in further.
In this case the module of four-dimensional number (2) can be transformed as follows:
or, as follows
or, as follows
For this case the symplectic module is not non-negatively defined form.
Thus, we have six various spaces of four-dimensional numbers in which operation of multiplication and the corresponding modules of numbers are defined by various formulas. Further we investigate properties of these spaces.
2. Degenerate Numbers in Spaces of Four-Dimensional Numbers
Definition. The four-dimensional number is called nondegenerate if , and degenerate if .
We investigate solutions of the equation or degenerate numbers. This equation has explicit solutions thanks to which we can describe the general structure of degenerate numbers in all spaces .
As it follows from definition of the module of number (6) in space there are two types of degenerate numbers, namely, numbers of the kind and for any real and .
We will call numbers of the kind degenerate numbers of the first type, and numbers degenerate numbers of the second type.
Obviously, the only degenerate number belonging both to the first and the second type is the number 0 = (0,0,0,0). Let's denote the set of all degenerate numbers of the first type by , and the set of all degenerate numbers of the second type by .
The module of a number in space is defined by the formula (12), therefore, in this space there are also two types of degenerate numbers and , for any real and which respectively we will call degenerate numbers of the first type and degenerate numbers of the second type and them will also denote by and .
Number 0 = (0,0,0,0) is the only degenerate number belonging to both types.
In space the set of degenerate numbers of the first type consists from the numbers, and the set of degenerate numbers of the second type consists from the numbers for any real and that follows from definition of symplectic module (18).
Similarly, in space the set of degenerate numbers of the first type consists from the numbers , and the set of degenerate numbers of the second type consists from the numbers for any real and .
In space the symplectic module of number is determined by the formula (30), therefore, the set of degenerate numbers of the first type consists of the numbers , and the set of degenerate numbers of the second type consists of the numbers for any real and .
In space we will get from the equation that there are two types of degenerate numbers, namely, numbers of the kind and for any real and which are respectively degenerate numbers of the first and second types.
Theorem 2. Degenerate numbers in spaces , have the following properties:
- 1)
If , then , , .
- 2)
If , then , , .
- 3)
If , then .
- 4)
If , , then .
- 5)
If , , then .
The proof is easily follows from definitions of addition and multiplication in the corresponding spaces.
This theorem describes properties of degenerate numbers in spaces. In particular, it follows from the first two properties that sets and are subspaces of spaces .
The third property claims that points of subspaces and are zero divisors. Moreover, as it will become obvious from further discussions, there are no other zero divisors. Such obvious description of structure of zero divisors allows to control influence of zero divisors on various mathematical structures. For example, to build the full-fledged calculus, the differential and integral calculus and other constructions.
The last approvals of the theorem say that at multiplication of any four-dimensional number by degenerate number, we will always receive degenerate number.
3. Range of Four-Dimensional Numbers
To each four-dimensional number , we compared some matrix of F (x), determined respectively by formulas (7), (13), (19), (25), (31), (37) by means of which multiplication of two numbers can be reduced to multiplication of this matrix by the vector determined by the second multiplier.
Theorem 3. The set of matrices F(x) is closed with respect to matrix operations of addition, subtraction and multiplication and also multiplication of the matrix by the scalar. The inverse matrix to the nonsingular matrix has the same form.
It can be proved by direct check.
Theorem 4. For each space , mapping for any four-dimensional numbers has the following properties:
- 1)
;
- 2)
for any ;
- 3)
;
- 4)
;
- 5)
;
- 6)
;
- 7)
;
- 8)
;
- 9)
, where x is nondegenerate number.
Proof. Let's prove the theorem for space, for other spaces the proof is carried out in a similar way.
Properties 1) and 2) are obvious. Let's prove property 3).
where
B is the resulting matrix. Let's calculate elements of the matrix
B.
where .
Let's prove property 4). According to the formula (4),
, therefore
Multiplying these matrices at each other, we will receive that where E is the identity matrix that completes proof.
Let's prove property 5). By definition of the determinant we have
Calculating determinants in the last equality, we make sure that
Then .
Let's prove property 6).
Proofs of properties 7), 8), 9) are obvious.
Thus, there is the bijection between space of four-dimensional numbers and space of 4 х 4 matrices which maintains arithmetic operations, that is the existing bijection is homomorphism.
Definition. The set of characteristic numbers of the corresponding matrix is called the spectrum of four-dimensional number x.
Let's work out characteristic equation for definition of the spectrum of four-dimensional number
in space
:
Let's calculate minors of elements of the first row of the matrix:
Using these values of minors, we will calculate determinant of characteristic equation:
Taking into account the equation (6) we will rewrite the equation (41) as follows:
Proceeding from the type of free term, we will consider the possibility of decomposition of the equation on the product of two square trinomials, namely, we will present the last equation in the form where . Expanding the brackets and equating coefficients of degrees , we find for and the following system:
.
This redefined system has unique solution
,
. Therefore, the equation (8) is equivalent to the equation
The equation (42) breaks up to two quadratic equations, solving which it is found four characteristic numbers of four-dimensional number x:
Thus, the spectrum of four-dimensional number in space consists of four pairwise complex conjugate numbers of the form (43).
We will find in the similar way spectra of numbers in spaces
. The spectrum of a number
in space
is
The spectrum of a number
in space
is
The spectrum of a number
in space
is
The spectrum of a number
in space
is
The spectrum of a number
in space
is
Let's denote the spectrum of a number x by and consider mapping in spaces .
Theorem 5. The mapping S is one-to-one and onto, so it is a bijection.
Proof. Let's prove the theorem only for space , for other spaces the proof is similar.
Let, we will show that then . Let's allow opposite, then it means that , therefore
,
,
,
.
Moving the right parts to the left part and having collecting similar terms, we get
From here we obtain
or, x. We received the contradiction with the condition .
Back, we will show that one and only one four-dimensional number can correspond to any spectrum consisting of numbers of the form (43). Indeed, let is the spectrum of some four-dimensional number. Then it follows from formulas (43) that
.
Corollary. The only number having zero spectrum is the number .
Corollary. Spectra of basic numbers in space are , , , . Spectra of basic numbers in other spaces are written out similarly.
Theorem 6. For any four-dimensional number
the equality is hold
Proof. Let's carry out the proof of the theorem also only for space . For other spaces the proof is absolutely similar.
It follows from equations (43) that . Therefore, it follows from equality (6) that .
Corollary. , , , in any space .
Theorem 7. In each of six anisotropic spaces of four-dimensional numbers the following relations hold:
- 1)
for any , , ;
- 2)
for any , , ;
- 3)
, for any , , ;
- 4)
for any nondegenerate , ,
- 5)
, for any , , ;
where is the i-th component of the spectrum of four-dimensional number x.
Proof. Let's carry out only for space .
Relations 1) are obvious. Let's prove the relation 2). According with (5) and (43),
The ratio 3) follows from the ratio 2). Let's prove the ratio 4). 2) follows from the ratio that. On the other hand. Follows from ratios (43) that for all. Therefore.
The relation 5) follows from the relation 2) as well.
The proved theorems show that there are three various approaches for work with four-dimensional numbers: four-dimensional numbers, 4х4 matrices and four-dimensional imaginary numbers in the form of the spectrum. For carrying out arithmetic operations these approaches are equivalent. For the solution of the algebraic equations the most convenient is the spectra approach.
4. Application to the Solution of Systems of the Algebraic Equations
Let's consider the linear algebraic equation where and are given four-dimensional numbers. Let's assume at first that a is nondegenerate number, then this equation has the only solution. Of course, we consider this equation in one of the spaces. Let's find the solution of the equation in isotropic space .
For finding of the inverse number
we will use the theorem 7, according to which we get
for all
i=1,2,3,4. Therefore, in isotropic space
we have
Knowing the spectrum, we will restore number
:
Then the solution
of linear equation
in the space
is:
We received the analog of formulas of Kramer for system
which is equivalent to the four-dimensional equation in isotropic space .
Similar formulas can be obtained also for other four-dimensional spaces.
Let's assume now that a is a degenerate number. Then if , then, according to the theorem 2, considered linear equation have infinitely many solutions, namely if a is a degenerate number of type II, then the solutions of the equation are all degenerate numbers of type I, if a is a degenerate number of type I, then the solutions of the equation are all degenerate numbers of type II.
Let's assume now that
a and
b be degenerate numbers, and
. Then if
a and
b are degenerate numbers of different types, then according to the same theorem 2, considered equation has no solution. If
a and
b are degenerate numbers of the same type, then the equation has infinitely many solutions. Indeed, according to the theorem 7 we have
Suppose that
a and
b are degenerate numbers of the first type, that is
,
. Then
,
, but
. Substituting these expressions in the last equations, we have
This system has infinitely many solutions
Respectively, solutions of linear equation are four-dimensional numbers
, for any real
and
.
Similar calculations can be carried out in case when a and b are degenerate numbers of the second type too.
Thus, in four-dimensional spaces, linear equation may have no solution, unique solution, or, infinite set of solutions. We showed this fact on the example of isotropic space. Check in other isotropic and anisotropic spaces does not cause difficulties.
Let's consider the quadratic equation
where
is a given four-dimensional number. As the example we will consider this equation in isotropic space
. In this case this equation can be rewritten by the definition of multiplication (6) in space
in the following form:
For the solution of this equation we will use the spectra approach. Let's assume at first that
a is a nondegenerate number. According to the theorem 7,
. By definition of the spectrum in space
or
From here, equating the real and imaginary parts, we have
This system has the following four solutions (if all composed the formulas given below make sense):
,
,
,
, where
,
.
The obtained solutions are the square root from four-dimensional number a. In particular, in space solutions of the equation are four four-dimensional numbers (1,0,0,0), (0,1,0,0), (-1,0,0,0) and (0,-1,0,0). And solutions of the equation are the following numbers: . If , then the second terms of formulas for and are undefined. In this case solving the system (52) for this case we will receive the following solutions: , , , .
Thus, system of type (51) have four roots.
Let's assume now that
is nonzero degenerate number of the first type. Then system (52) will take the form
System (53) have the following two solutions:
and
, where
. Similarly, if
is nonzero degenerate number of the second type, then the quadratic equation
has the following two solutions:
and
.
That is, if a is degenerate number, then the considered quadratic equation has two solutions which are also degenerate numbers of the same type.
And at last, if a=(0,0,0,0), then the considered equation has the only zero solution. Thus, we found all solutions of the equation in isotropic space. In other spaces everything is similar.
Moreover, in the four-dimensional space any quadratic equation
has four roots which are defined by the formula
if
a is nondegenerate number what will easily make sure of, having substituted this expression in the equation. Thus, we can draw the following conclusion: if
a and
are nondegenerate numbers, then the quadratic equation
has 4 roots if
a is nondegenerate number, and
is the degenerate number, the quadratic equation has two roots and if
, the quadratic equation has one root. Solutions of an equation are expressed by formula (54).
Let's assume now that
a is degenerate number. Then we will consider various options of numbers b and c. If
b is degenerate number of this kind, as
a, and
c is degenerate number of other type, then the equation has no solution. Indeed, then according to the theorem 2
is degenerate number of the same type, as
a, and
c is degenerate number of other type. Let's give various options of coefficients of the equation at which the quadratic equation has no solution, in
Table 7.
In other cases when the coefficient
of a is degenerate number, the quadratic equation has two solutions. Let's consider, for example the case when
is degenerate number of the first type,
is nondegenerate number,
is degenerate number of the second type, in isotropic space
. Having passed to the spectrum, we have
This system will be transformed to the following form:
Let's introduce the following denotes:
Then the system (55) will be rewritten as
From the first two equations we find
Multiply the third equation by
, the fourth equation by
and subtract the third equation from the fourth:
Further we multiply the third equation by , the fourth equation by and add these equations:
Now we divide both parts of the last equations by
:
Let's introduce new variables
Then the last equations in new variables will take the form
This system has two solutions
, .
Respectively,
, ,
where , , , .
Thus we found two solutions of the quadratic equation in case when is degenerate number of the first type, is nondegenerate number, is degenerate number of the second type, in isotropic space. Other cases are investigated the same way.
Let's notice that in isotropic space
the four-dimensional quadratic equation in components of four-dimensional number
is written as
and in one-dimensional mathematics there are no methods of solution of systems (57) type. We stated the simple method of finding of all roots of such systems here.
Similar to (57) systems can be written also in other four-dimensional spaces (anisotropic and isotropic) and all roots of such systems can be found.
5. Norms of Four-Dimensional Numbers
The symplectic module of four-dimensional number is not norm as the whole space of degenerate numbers have the zero module. The possibility of determination of norm of four-dimensional numbers turns spaces of four-dimensional numbers into normed spaces that opens huge opportunities for expansion of results of one-dimensional mathematics on the four-dimensional case. Therefore the concept of norm plays the important role in definition of topology of four-dimensional spaces and building of the four-dimensional calculus.
In this section we will define the concept of norm and we investigate its properties.
Definition. Spectral norm of four-dimensional number
is called the number
where
is the spectrum of number
x.
This definition is universal in the sense that it does not depend on index of the four-dimensional space.
Let's paint this definition for various spaces of four-dimensional numbers.
In space
the expression (58) is
Similarly, the norm in space
has the form
In space
the norm (58) is
Further in spaces
,
,
norms have the form, respectively (62), (63) and (64):
Theorem 8. The spectral norm (58) is norm in spaces .
Proof. For the proof it is necessary to prove that expression (58) satisfies the following conditions:
- 1)
, if and only if when .
- 2)
for any real number .
- 3)
for any four-dimensional numbers x and y (triangle inequality).
The first two conditions are obvious. Let's prove triangle inequality, following [
6]. For this purpose we will consider two separate inequalities:
where
,
,
,
,
,
,
,
are arbitrary real numbers.
Expand the brackets and after algebraic transformations we receive
Let's add to both parts of the first inequality
, and the second inequality
, and, taking the root, we will write
Let's double and will add to both parts of the first and second inequalities
and
respectively and take the root:
therefore
Now depending on that in what space we work, we will enter the corresponding changes of variables, for example, for space
we will enter the following changes of variables:
Then inequality (65) turns into inequality
.
Definition. Euclidean norm of four-dimensional number
in space
is called the number
Let's notice that there are following relations between spectral and Euclidean norms.
:
Theorem 9. Spectral and Euclidean norms are equivalent in spaces
, namely
Proof. Let's carry out following [
6]. Consider inequality
where
. Let's add to both parts of inequality
L and multiply all parts of inequality by 2:
From here after simple transformations we get
Out of these inequalities and out of equalities (67) – (72) it is easily brought (73) for all spaces
.
Let's denote by the set of all points of the four-dimensional space for which .
It follows from relations (67) – (72) that in spaces
the coordinates of points from the set
satisfy to the following relations:
Theorem 10. In spaces
the set
is closed with respect to multiplication and the following equalities hold:
- 1)
For any , .
- 2)
For any , , .
- 3)
For any , , .
Proof. We will carry out the proof for space , for other spaces it is proved the same way. Let and . Then , that is . It means that in space the set is closed with respect to multiplication.
Let's prove equality
. Represent
in the form
where
,
,
,
.
Then removing the brackets and considering that we have and . Then, it follows from definition of the set that .
Equality follows from the proved equality.
Now prove equality for degenerate numbers of the first type. Let and are degenerate numbers of the first type. Then , . Similarly , . . Respectively,
,
.
For degenerate numbers of the second type the approval of the theorem is proved similarly.
Thus, in the subspace the spectral norm accepts the greatest values coinciding with Euclidean norm, and in the subspace of degenerate numbers its value is less than values of Euclidean norm.
6. Discussions
In this work various anisotropic, including isotropic, spaces of four-dimensional numbers with associative and commutative multiplication are constructed. At the same time, in these spaces according to Frobenius [
2] theorem, there are so-called "zero divisors". But good news is that the general form of zero divisors is described explicitly that allows "to fight" against them effectively.
In the article the algebra in four-dimensional numerical spaces is described and important feature of the constructed algebras is that they are natural generalization one-dimensional and two-dimensional (complex) algebras that favourably distinguishes them from the theory of quaternions. The given common solutions of linear and quadratic equations allowed to solve explicitly the system of four square equations with four unknown. It is shown that such system has generally four roots. Generally, the modern mathematics has no effective methods of solution of such systems.
And the most important, spectral and Euclidean norms are introduced that turns four-dimensional spaces into normed spaces. Further it is possible to define and investigate convergence of the sequences of four-dimensional numbers and to consider series of four-dimensional numbers. It is possible to enter various topology and to define functions of four-dimensional numbers.
The authors would like to express their sincere gratitude for the financial support provided by the Fundamental Research Grant from the Ministry of Science and Higher Education of the Republic of Kazakhstan (Grant Number: BR20280990).
References
- D. B. Sweetser, Doing Physics with Quaternions. 2005. 157 p.
- Ferdinand Georg Frobenius (1878) "Über lineare Substitutionen und bilineare Formen", Journal für die reine und angewandte Mathematik 84:1–63 (Crelle's Journal). Reprinted in Gesammelte Abhandlungen Band I, pp. 343–405.
- M. M. Abenov. Four-dimensional mathematics: Methods and applications. Almaty, Қazakh university, 2019. 176 pages.
- M. M. Abenov, M. B. Gabbasov. Anisotropic four-dimensional spaces.//Astana, Preprint, 2020.
- A. T. Rakhymova, M. B. Gabbassov, A. A. Ahmedov. Analytical Solution of the Cauchy Problem for a Nonstationary Three-dimensional Model of the Filtration Theory.//Journal of advanced Research in Fluid Mechanics and Thermal Sciences. Volume 87, Issue 1(2021) 118-133. [CrossRef]
- A. T. Rakhimova. Development of analytical methods of solution of the initial value problem of the linear theory of filtration of liquids in three-dimensional space. PhD doctoral thesis. Astana, 2023 of 83 pages.
- A. T. Rakhymova, M. B. Gabbassov, K. M. Shapen. On one space of four-dimensional numbers//Vestnik KazNU. – 2020. – Vol. 4. – P. 199-225.
- A. T. Rakhymova, M. B. Gabbassov, K. M. Shapen. Functions in one space of four-dimensional numbers//Journal of Mathematics, Mechanics and Computer Science. – 2021. – Vol. 2. – P. 139-154. [CrossRef]
Table 1.
Products of basic numbers for general case.
Table 1.
Products of basic numbers for general case.
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Table 2.
Products of basic numbers in case of 2.
Table 2.
Products of basic numbers in case of 2.
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Table 3.
Products of basic numbers in case of 3.
Table 3.
Products of basic numbers in case of 3.
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Table 4.
Products of basic numbers in case of 4.
Table 4.
Products of basic numbers in case of 4.
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Table 5.
Products of basic numbers in case of 5.
Table 5.
Products of basic numbers in case of 5.
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Table 6.
Products of basic numbers in case 6.
Table 6.
Products of basic numbers in case 6.
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Table 7.
Products of basic numbers in case of 7.
Table 7.
Products of basic numbers in case of 7.
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Table 7.
Options of coefficients of a, b, c.
Table 7.
Options of coefficients of a, b, c.
| № |
a coefficient |
b coefficient |
c coefficient |
Solution |
| 1 |
Degenerate number of the first type |
Degenerate number of the first type |
Nondegenerate number |
There is no solution |
| 2 |
Degenerate number of the first type |
Degenerate number of the first type |
Degenerate number of the second type |
There is no solution |
| 3 |
Degenerate number of the first type |
Degenerate number of the second type |
Degenerate number of the first type |
There is no solution |
| 4 |
Degenerate number of the first type |
Degenerate number of the second type |
Degenerate number of the second type |
There is no solution |
| 5 |
Degenerate number of the second type |
Degenerate number of the first type |
Degenerate number of the first type |
There is no solution |
| 6 |
Degenerate number of the second type |
Degenerate number of the first type |
Degenerate number of the second type |
There is no solution |
| 7 |
Degenerate number of the second type |
degenerate number of the second type |
Nondegenerate number |
There is no solution |
| 8 |
Degenerate number of the second type |
Degenerate number of the second type |
Degenerate number of the first type |
There is no solution |
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