This paper provides a comprehensive classification of all two-dimensional algebras over algebraically closed fields, filling a fundamental gap in algebraic structure theory.
Contribution
It offers the first complete classification of two-dimensional algebras over algebraically closed fields, detailing their structure and types.
Findings
01
Complete list of two-dimensional algebra structures
02
Identification of isomorphism classes
03
Framework for future algebraic classifications
Abstract
A complete classification of two-dimensional algebras over algebraically closed fields is provided
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Full text
In the name of Allah, Most gracious, Most Merciful.
Complete Classification of Two-Dimensional Algebras
H.Ahmed1, U.Bekbaev2, I.Rakhimov3
1Department of Math., Faculty of Science, UPM,
Selangor, Malaysia &
Depart. of Math., Faculty of Science, Taiz University,
Taiz, Yemen
2Department of Science in Engineering, Faculty of
Engineering, IIUM, Malaysia
3Laboratory of Cryptography, Analysis and Structure,
Institute for Mathematical Research (INSPEM), UPM, Serdang, Selangor, Malaysia
Abstract.
A complete classification of two-dimensional algebras over algebraically closed fields is provided.
The classification problem of finite dimensional algebras is one of the important problems of modern algebra. So far two approaches are known to the solution of the problem. One of them is structural (basis free, invariant) approach. For instance, the classification of finite dimensional simple and semi-simple associative algebras by Wedderburn and simple and semi-simple Lie algebras by Cartan are examples of such approach. But it is observed that this approach becomes more difficult when one considers more general types of algebras. Another approach to the solution of the problem is coordinate based approach (see [2, 3, 4, 5, 7] for the latest results). These two approaches somehow are complementary to each other.
In two-dimensional case a complete classification, by basis free approach, is stated in [6] over any basic field. In this paper we follow the coordinate (basis, structure constants) based approach, we consider such problem for two-dimensional algebras over any algebraically closed field F. We provide a list of algebras, given by their matrices of structure constants (MSC), such that any 2-dimensional algebra is isomorphic to only one algebra from the list. A similar result has been stated in [5]. The main difference between these two results is as follows. In [5] the authors can state the existence only whereas the uniqueness can not be guaranteed. Moreover, the approach to the problem followed in the present paper is totally different that in [5]. Some details of our approach for arbitrary dimensional case have been given in [2].
The paper is organized as follows. First we study the problem over algebraically closed fields of characteristics not 2 and 3, then the solution is given for algebras over algebraically closed fields of characteristics 2 and the last subsection of paper contains the result over algebraically closed fields of characteristics 3. In each of these cases we present the list of algebras via their matrices of structure constants.
2. Classification of two-dimensional algebras
To classify the main part of two-dimensional algebras we use a particular case of the following result from [2]. Let n, m be any natural numbers, τ:(G,V)→V be a fixed linear algebraic representation of an algebraic subgroup G of GL(m,F) on the n-dimensional vector space V over F. Assume that there exists a nonempty G-invariant subset V0 of V and an algebraic map P:V0→G such that
P(τ(g,v))=P(v)g−1,
whenever v∈V0 and g∈G. The following result holds true [2].
Theorem. * Elements u,v∈V0 are G-equivalent, that is u=τ(g,v) for some g∈G, if and only if*
[TABLE]
Let A be any 2 dimensional algebra over F with multiplication ⋅ given by a bilinear map (u,v)↦u⋅v whenever u,v∈A. If e=(e1,e2) is
basis for A as a vector space over F then one can represent this bilinear map by a matrix
[TABLE]
such that
[TABLE]
for any u=eu,v=ev,
where u=(u1,u2), and v=(v1,v2) are column coordinate vectors of u and v, respectively, (u⊗v)=(u1v1,u1v2,u2v1,u2v2), ei⋅ej=Ai,j1e1+Ai,j2e2 whenever i,j=1,2.
So the algebra A is presented by the matrix A∈Mat(2×4;F) (called the matrix of MSC of A with respect to the basis e).
If e′=(e′1,e′2) is also another basis for A, g∈G=GL(2,F), e′g=e and u⋅v=e′B(u′⊗v′), where u=e′u′,v=e′v′, then
[TABLE]
as far as u=eu=e′u′=eg−1u′,v=ev=e′v′=eg−1v′.
Therefore the equality
[TABLE]
is valid, where for g^{-1}=\left(\begin{array}[]{cccc}\xi_{1}&\eta_{1}\\
\xi_{2}&\eta_{2}\end{array}\right) one has
[TABLE]
Definition. Two-dimensional algebras A, B, given by
their matrices of structural constants A, B, are said to be isomorphic if B=gA(g−1)⊗2 holds true for some g∈GL(2,F).
Note that the following identities
[TABLE]
hold true whenever A∈Mat(2×4,F),g∈GL(2,F), where
[TABLE]
are row vectors.
We divide Mat(2×4,F) into the following five disjoint subsets:
All A for which the system {Tr1(A),Tr2(A)} is linear independent.
2.
All A for which the system {Tr1(A),Tr2(A)} is linear dependent and Tr1(A),Tr2(A) are nonzero vectors.
3.
All A for which Tr1(A) is nonzero vector and Tr2(A)=(0,0).
4.
All A for which Tr1(A)=(0,0) and Tr2(A) is nonzero vector.
5.
All A for whichTr1(A)=Tr2(A)=(0,0).
Due to (1) it is clear that algebras with matrices from these different classes can not be isomorphic. We deal with each of these subsets separately.
Further, for the simplicity, we use the notation
[TABLE]
where
α1,α2,α3,α4,β1,β2,β3,β4 stand for any elements of F.
As it has been stated above we consider three cases
corresponding to Char(F)=2,3,Char(F)=2 and Char(F)=3, respectively.
2.1. Characteristic not 2, 3 case
Theorem 1.Over an algebraically closed field F with the characteristic not 2 and 3, any non-trivial 2-dimensional algebra is isomorphic to only one of the following listed, by their matrices of structure constants, algebras:
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
Proof.The first subset case. In this case let P(A) stand for a nonsingular matrix \left(\begin{array}[]{cc}\alpha_{1}+\beta_{3}&\alpha_{2}+\beta_{4}\\
\alpha_{1}+\beta_{2}&\alpha_{3}+\beta_{4}\end{array}\right) with rows
which means that one can apply the Theorem as V=F8 and τ(g,A)=gA(g−1)⊗2. In this case for V0 one can take
[TABLE]
Therefore,
two-dimensional algebras A, B, given by
their matrices of structure constants A, B∈V0, are isomorphic if and only if the equality
[TABLE]
holds true.
For ξ1=Δα3+β4, ξ2=−Δα1+β2, η1=−Δα2+β4, η2=Δα1+β3, where Δ=Δ(A)=det(P(A)), one has
[TABLE]
and
A^{\prime}=\left(\begin{array}[]{cccc}\alpha^{\prime}_{1}&\alpha^{\prime}_{2}&\alpha^{\prime}_{3}&\alpha^{\prime}_{4}\\
\beta^{\prime}_{1}&\beta^{\prime}_{2}&\beta^{\prime}_{3}&\beta^{\prime}_{4}\end{array}\right)=P(A)A(P(A)^{-1}\otimes P(A)^{-1}) is matrix consisting of columns
[TABLE]
[TABLE]
[TABLE]
[TABLE]
From the above it can be easily seen that α1′=−β2′, α3′=α2′+1, β3′=β2′+1 and β4′=−α2′, i.e.
[TABLE]
Therefore, the main role in the finding of A′ is played by the functions
It can be easily verified that these functions can take any values in F. Therefore, the values of α1′,β1′,α2′,α4′ also can be any elements in F. Using obvious redenotions one can list the following non-isomorphic “canonical” algebras from the first subset, given by their MSCs as follows:
[TABLE]
For any algebra A from the first subset there exists a unique algebra from the class A1(c) isomorphic to A. Note that the appearance of A1(c) for the first subset does not depend on either algebraically closeness of F or its characteristic.
The second and third subset cases. In these cases one can make Tr1(A)g=(1,0). It implies that Tr2(A)g=(λ,0). Therefore, we can assume that
[TABLE]
Here if λ is zero we can also cover the third subset. So let us consider
[TABLE]
with respect to g∈GL(2,F) of the form
[TABLE]
as far as
(1,0)g−1=(1,0) if and only if g−1 is of the above form. In this case for the entries of A′ we have A^{\prime}=\left(\begin{array}[]{cccc}\alpha^{\prime}_{1}&\alpha^{\prime}_{2}&\alpha^{\prime}_{2}&\alpha^{\prime}_{4}\\
\beta^{\prime}_{1}&\lambda-\alpha^{\prime}_{1}&1-\alpha^{\prime}_{1}&-\alpha^{\prime}_{2}\end{array}\right)=gA(g^{-1})^{\otimes 2}, where λ is same for the A and A′,
one has
and
once again using redenotion one can represent the corresponding “canonical” MSCs as follows
[TABLE]
as far as the expressions α1−α4α22, α4(β1−(1+λ−3α1)α4α2−2α42α23), λ−(α1−α4α22) may have any values in F. It can be checked that algebras \left(\begin{array}[]{cccc}\alpha_{1}&0&0&1\\
\beta_{1}&\beta_{2}&1-\alpha_{1}&0\end{array}\right) and \left(\begin{array}[]{cccc}\alpha_{1}&0&0&1\\
-\beta_{1}&\beta_{2}&1-\alpha_{1}&0\end{array}\right) are isomorphic.
Note that the result A2(c), does not depend on the characteristic of F.
Case 2: α4=0.
Subcase 2 - a): α2=0. If α2=0 then one can make
α1′=0, α2′=1, β1′=α2β1−42+2λ−3α1α1 to get the following set of canonical matrices of structural constants
[TABLE]
Subcase 2 - b): α2=0. If α2=0 then α1′=α1,α2′=0,α4′=0,β1′=η2β1+(1+λ−3α1)ξ2.
Subsubcase: 2 - b) - 1: 1+λ−3α1=0. If 1+λ−3α1=0, that is λ−α1=2α1−1, one can make β1′=0 to get
[TABLE]
Subsubcase: 2 - b) - 2: 1+λ−3α1=0. If 1+λ−3α1=0 and β1=0 one can make β1′=1 to get
[TABLE]
If β1=0 one has λ−α1=2α1−1 and therefore
A^{\prime}=\left(\begin{array}[]{cccc}\alpha_{1}&0&0&0\\
0&2\alpha_{1}-1&1-\alpha_{1}&0\end{array}\right)
which is A4(c) with β2=2α1−1.
The fourth subset case.
By the similar justification as in the second and the third subsets case it is enough to consider
[TABLE]
α1′=α1+2α2ξ2+α4ξ22,
α2′=(α2+α4ξ2)η2,
α4′=α4η22,
β1′=η2β1+ξ2−3α1ξ2−3α2ξ22−α4ξ23.
Therefore we get the canonical MSCs as follows
[TABLE]
(it is A2(c), where the 2nd and 3rd columns are interchanged and α1+β2=0) or
[TABLE]
(it is A3(c), where the 2nd and 3rd columns are interchanged and β2=0) or
[TABLE]
(it is A4(c), where the 2nd and 3rd columns are interchanged and α1+β2=0) or
[TABLE]
(it is A5(c), where the 2nd and 3rd columns are interchanged and 3α1−1=0).
If α4=0 by making η1η2 equal to any root of the polynomial p(t)=β1−3α1t−3α2t2−α4t3 one can make α4′=0. Therefore, further it is assumed that α4=0.
Let us consider g with η1=0 to have α4′=0. In this case Δ=ξ1η2 and
α1′=ξ1(α1+2α2ξ1ξ2),
α2′=α2η2,
β1′=η2ξ12(β1−3α1ξ1ξ2−3α2(ξ1ξ2)2).
Case a: α2=0. One can consider ξ1ξ2=2α2−α1 to get α1′=0,α2′=1 and β1′=ξ1243α12+4α2β1. Therefore one can make β1′ equal to [math] or 1, depending on 3α12+4α2β1 to have
[TABLE]
Case b: α2=0. Then α2′=α4′=0 and α1′=ξ1α1,β1′=η2ξ12(β1−3α1ξ1ξ2). Therefore if α1=0 one can make α1′=1,β1′=0 to get A^{\prime}=\left(\begin{array}[]{cccc}1&0&0&0\\
0&-1&-1&0\end{array}\right) , which isomorphic to A10, if α1=0 then α1′=0 and one can make β1′=1 to come to
[TABLE]
A routine check in each subset case shows that the corresponding algebras presented above
are not isomorphic.
2.2. Characteristic 2 case
In this case the result can be summarized in the following form.
Theorem 2.* Over an algebraically closed field F characteristic 2 any non-trivial 2-dimensional algebra is isomorphic to only one of the following listed, by their matrices of structure constants, algebras:*
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
Proof.
In this case α=−α for any α∈F, but sometimes we use −α also to keep similarity with the previous case.
The first subset case. It has been noted earlier that in this case the result doesn’t depend either on algebraically closeness of F or its characteristics. Therefore, one has
[TABLE]
The second and third subset cases.
Obviously in this case one can make Tr1(A)g=(1,0). This implies Tr2(A)g=(λ,0). Therefore, it can be assumed that Tr1(A)=(α1+β3,α2+β4)=(1,0) and Tr2(A)=(λ(α1+β3),λ(α2+β4)=(λ,0). Here also we allow λ to be zero to include the third subset’s case. Therefore, we consider
As we have observed earlier in α4=0 case one gets
[TABLE]
2.
Let now assume that α4=0.
2-a).
If α2=0 then one can make
α1′=α1, α2′=1, α4′=0 and β1′=0 to get
[TABLE]
2-b).
If α2=0 then α1′=α1,α2′=0,α4′=0, and β1′=η2β1+(1+λ+α1)ξ2.
2-b)-1.
If 1+λ+α1=0, that is λ−α1=1, one can make β1′=0 to get
[TABLE]
2-b)-2.
Let 1+λ+α1=0. In this case
·
if β1=0 one can make β1′=1 to have
[TABLE]
·
if β1=0 then
[TABLE]
The fourth subset case. For this case we have
[TABLE]
therefore
α1′=α1+α4ξ22,
α2′=(α2+α4ξ2)η2,
α4′=α4η22,
β1′=η2β1+(1+α1)ξ2+α2ξ22+α4ξ23.
Hence, one gets
A_{6,2}(\mathbf{c})=\left(\begin{array}[]{cccc}\alpha_{1}&0&0&1\\
\beta_{1}&1-\alpha_{1}&-\alpha_{1}&0\end{array}\right)\ \ \mbox{where}\ \mathbf{c}=(\alpha_{1},\beta_{1})\in\mathbf{F}^{2}
(it is A2,2(c), where the 2nd and 3rd columns are interchanged and α1+β2=0),
[TABLE]
(it is A3,2(c), where the 2nd and 3rd columns are interchanged and α1+β2=0),
[TABLE]
(it is A4,2(c), where the 2nd and 3rd columns are interchanged and α1+β2=0)
and
[TABLE]
(it is A5,2(c), where the 2nd and 3rd columns are interchanged and α1+1=0).
The fifth subset case. In this case
[TABLE]
and for the entries of A^{\prime}=\left(\begin{array}[]{cccc}\alpha^{\prime}_{1}&\alpha^{\prime}_{2}&\alpha^{\prime}_{2}&\alpha^{\prime}_{4}\\
\beta^{\prime}_{1}&-\alpha^{\prime}_{1}&-\alpha^{\prime}_{1}&-\alpha^{\prime}_{2}\end{array}\right) one has
Let us consider g with η1=0 to have α4′=0. In this case Δ=ξ1η2 and
α1′=ξ1α1,
α2′=α2η2,
β1′=η2ξ12(β1+α1ξ1ξ2+α2(ξ1ξ2)2).
If one of α1,α2 is not zero one can make β1′=0 and depending on α1,α2 one can have α1′=0,α2′=1 or α1′=1,α2′=1 or α1′=1,α2′=0 to get
A_{10,2}=\left(\begin{array}[]{cccc}0&1&1&0\\
0&0&0&-1\end{array}\right) or A_{11,2}=\left(\begin{array}[]{cccc}1&1&1&0\\
0&-1&-1&-1\end{array}\right) or A^{\prime}=\left(\begin{array}[]{cccc}1&0&0&0\\
0&-1&-1&0\end{array}\right) which is isomorphic to A10,2
If α1=α2=0 then one can make β1′=1 to get
[TABLE]
2.3. Characteristic 3 case
In this case we summarize the result as follows.
Theorem 3.* Over an algebraically closed field F characteristics 3 any non-trivial 2-dimensional algebra is isomorphic to only one of the following listed, by their matrices of structure constant matrices, algebras:*
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
Proof.The first subset case. One has
[TABLE]
The second and third subset cases. One can consider
[TABLE]
where λ may be zero as well, with respect to
g^{-1}=\left(\begin{array}[]{cc}1&0\\
\xi_{2}&\eta_{2}\end{array}\right) in that case for the entries of A′ we get
α1′=α1+2α2ξ2+α4ξ22,
α2′=(α2+α4ξ2)η2,
α4′=α4η22,
β1′=η2β1+(1+λ)ξ2−α4ξ23.
α4=0. In this case we obtain
[TABLE]
2.
α4=0.
2-a)
If α2=0 one can make α1′=0, α2′=1 to get
[TABLE]
2-b)
If α2=0 then α1′=α1,α2′=0,α4′=0, and β1′=η2β1+(1+λ)ξ2.
2-b)-1.
Let 1+λ=0, that is λ=−1, one can make β1′=0 to get
[TABLE]
2-b)-2.
Let 1+λ=0.
·
If β1=0 one can make β1′=1 to get
[TABLE]
·
If β1=0 one has λ=−1 and therefore
A^{\prime}=\left(\begin{array}[]{cccc}\alpha_{1}&0&0&0\\
0&-1-\alpha_{1}&1-\alpha_{1}&0\end{array}\right) which is A4,3(c) with β2=−1−α1.
The fourth subset case. It is easy to see that in this case the result can be derived from the second and third subsets case. So we get
[TABLE]
(it is A2,3(c), where the 2nd and 3rd columns are interchanged and α1+β2=0),
[TABLE]
(it is A3,3(c), where the 2nd and 3rd columns are interchanged and β2=0),
[TABLE]
(it is A4,3(c), where the 2nd and 3rd columns are interchanged and α1+β2=0).
The fifth subset case.
Here it is enough to consider α4=0 case. Therefore we have
Making η1=0 results in α1′=α1ξ1−α2ξ2,α4′=0, α2′=α2η2, β1′=η2ξ12β1.
a)
If α2=0 one can make α1′=0 and α2′=1.
a)-1.
If β1=0 one can reduce β1′=1 to get
A_{9,3}=\left(\begin{array}[]{cccc}0&1&1&0\\
1&0&0&-1\end{array}\right).
a)-2.
If β1=0 then β1′=0 and one gets
A_{10,3}=\left(\begin{array}[]{cccc}0&1&1&0\\
0&0&0&-1\end{array}\right).
b)
If α2=0 then α2′=0.
b)-1.
If β1=0 we reduce β1′=1 and α1′ may take one or zero depending on α1. Therefore one has
[TABLE]
b)-2.
If β1=0 then β1′=0, α4′=0 and one can make , α1′=1 to get
[TABLE]
Remark 1. From the proof of Theorems it is clear that the same results remain be true if one assumes the existence of a root in F of every second and third order polynomial over F (instead of assumption that F to be algebraically closed). The results can be used for getting complete classification of different classes, for example, associative, Jordan, alternative and etc., 2-dimensional algebras.
Remark 2. In [1] the class A3,2(c) should be understood as it is in this paper.
Acknowledgment.
The first author thanks M.A.A. Ahmed for the help in computer computations, the second author’s research is supported by FRGS14-153-0394, MOHE and the third author acknowledges MOHE for a support by grant 01-02-14-1591FR.
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