Embeddings in normed spaces are a widely used tool in automatic linguistic analysis, as they help model semantic structures. They map words, phrases, or even entire sentences into vectors within a high-dimensional space, where the geometric proximity of vectors corresponds to the semantic similarity between the corresponding terms. This allows systems to perform various tasks like word analogy, similarity comparison, and clustering. However, the proximity of two points in such embeddings merely reflects metric similarity, which could fail to capture specific features relevant to a particular comparison, such as the price when comparing two cars or the size of different dog breeds. These specific features are typically modeled as linear functionals acting on the vectors of the normed space representing the terms, sometimes referred to as semantic projections. These functionals project the high-dimensional vectors onto lower-dimensional spaces that highlight particular attributes, such as the price, age, or brand. However, this approach may not always be ideal, as the assumption of linearity imposes a significant constraint. Many real-world relationships are nonlinear, and imposing linearity could overlook important non-linear interactions between features. This limitation has motivated research into non-linear embeddings and alternative models that can better capture the complex and multifaceted nature of semantic relationships, offering a more flexible and accurate representation of meaning in natural language processing.
Citation: Pedro Fernández de Córdoba, Carlos A. Reyes Pérez, Enrique A. Sánchez Pérez. Mathematical features of semantic projections and word embeddings for automatic linguistic analysis[J]. AIMS Mathematics, 2025, 10(2): 3961-3982. doi: 10.3934/math.2025185
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Embeddings in normed spaces are a widely used tool in automatic linguistic analysis, as they help model semantic structures. They map words, phrases, or even entire sentences into vectors within a high-dimensional space, where the geometric proximity of vectors corresponds to the semantic similarity between the corresponding terms. This allows systems to perform various tasks like word analogy, similarity comparison, and clustering. However, the proximity of two points in such embeddings merely reflects metric similarity, which could fail to capture specific features relevant to a particular comparison, such as the price when comparing two cars or the size of different dog breeds. These specific features are typically modeled as linear functionals acting on the vectors of the normed space representing the terms, sometimes referred to as semantic projections. These functionals project the high-dimensional vectors onto lower-dimensional spaces that highlight particular attributes, such as the price, age, or brand. However, this approach may not always be ideal, as the assumption of linearity imposes a significant constraint. Many real-world relationships are nonlinear, and imposing linearity could overlook important non-linear interactions between features. This limitation has motivated research into non-linear embeddings and alternative models that can better capture the complex and multifaceted nature of semantic relationships, offering a more flexible and accurate representation of meaning in natural language processing.
The concept of local derivations was originally proposed by Kadison, Larson, and Sourour in 1990 for the study of Banach algebras (see[6,7]). In 2016, Ayupov and Kudaybergenov studied the local derivations of a Lie algebra. They asserted that every local derivation of a finite-dimensional semisimple Lie algebra over an algebraically closed field of characteristic zero is a derivation (see [1]). Many researchers have focused on studying local derivations of Lie algebras (see [2,12,14]). Motivated by [1], Chen et al. introduced the definition of local superderivations for a Lie superalgebra in 2017 (see [5]). More and more scholars have begun to study local superderivations of Lie superalgebras. In [5,13], Chen, Wang, and Yuan et al. studied local superderivations of a simple Lie superalgebra. They proved that every local superderivation is a superderivation for basic classical Lie superalgebras (except A(1,1)), the strange Lie superalgebra qn, and Cartan-type Lie superalgebras over the complex field. In [3,11], Camacho and Wu et al. reached a similar conclusion for a particular class of solvable Lie superalgebras and the super-Virasoro algebras over the complex field. One can also consider local superderivations of a Lie superalgebra in their modules. When the simple modules of a Lie superalgebra are completely clear, it is possible to determine the local superderivations of a Lie superalgebra for all simple modules. In [10], Wang et al. determined the simple modules of the orthogonal symplectic Lie superalgebra osp(1,2) over a field of prime characteristic. In [8,9], Wang et al. studied the 2-local derivations of Lie algebra sl(2) for all simple modules and the first cohomology of osp(1,2) with coefficients in simple modules over a field of prime characteristic.
In this paper, we are interested in determining all local superderivations of the Lie superalgebra osp(1,2) for all simple modules over a field of prime characteristic. The paper is structured as follows: In Section 2, we recall the basic concepts and establish several lemmas. In Lemma 2.1, we show the connection between the bases of the simple module and the bases of the inner superderivation space. We introduce the notion of local superderivations for a Lie superalgebra to any finite-dimensional module (see Definition 2.1). By [10], any simple module of osp(1,2) is isomorphic to some simple module Lχ(λ) for highest weight λ and p-character χ, and χ is either regular nilpotent, regular semisimple, or restricted. The first cohomology of osp(1,2) with coefficients in Lχ(λ) was described in [9], from which we obtain the bases of the vector space of superderivations. We introduce the method to determine the local superderivations of osp(1,2) to Lχ(λ) of parity α in Lemma 2.2. In Section 3 (resp. Section 4), we show that every local superderivation of osp(1,2) to Lχ(λ) with χ being regular nilpotent or regular semisimple (resp. χ is restricted) is a superderivation.
In this paper, the underlying field F is algebraically closed and of prime characteristic p>2, and Z2={¯0,¯1} is the additive group of order two with addition, in which ¯1+¯1=¯0. Recall that a Z2-graded vector space V=V¯0⊕V¯1 is also called a superspace, where the elements of V¯0 (resp. V¯1) are said to be even (resp. odd). For α∈Z2, any element v of Vα is said to be homogeneous of parity α, denoted by |v|=α. Write {x1,…,xp∣y1,…,yq} implying that xi is even and yj is odd in a superspace. If {x1,…,xp∣y1,…,yq} is a Z2-homogeneous basis of a Z2-graded vector space V, we write V=⟨x1,…,xp∣y1,…,yq⟩. Denote by Hom(V,W) the set consisting of all the F-linear maps from V to W, where V and W are Z2-graded vector spaces. We define the Z2-gradation on Hom(V,W) by Hom(V,W)α={ϕ∈Hom(V,W)∣ϕ(Vβ)⊂Wα+β,β∈Z2}.
Let L be a Lie superalgebra and M an L-module. Recall that a Z2-homogeneous linear map of parity α, ϕ:L→M, is called a superderivation of parity α if
ϕ([x,y])=(−1)α|x|xϕ(y)−(−1)|y|(|x|+α)yϕ(x), for all x,y∈L. |
Write Der(L,M)α for the set of all superderivations of L to M of parity α. It is easy to verify that Der(L,M)α is a vector space. Denote
Der(L,M)=Der(L,M)ˉ0⊕Der(L,M)ˉ1. |
For a Z2-homogeneous element m∈M, define the linear map Dm of L to M by Dm(x)=(−1)|x||m|x.m, where x∈L. Then Dm is a superderivation of parity |m|. Let Ider(L,M) be the vector space spanned by all Dm with Z2-homogeneous elements m∈M. Then every element in Ider(L,M) is called an inner superderivation. It is easy to check that
D:M→Ider(L,M),m↦Dm | (2.1) |
is an even linear map. Then we have the following lemma, which is simple and useful.
Lemma 2.1. Let H0(L,M)=0. Then the linear map D (defined by Eq (2.1)) is a linear isomorphism. In particular, {Dm1,Dm2,…,Dmk} is a basis of Ider(L,M) if and only if {m1,m2,…,mk} is a basis of M.
Recall the well-known fact that the first cohomology of L with coefficients in L-module M is
H1(L,M)=Der(L,M)/Ider(L,M). |
Obviously, H1(L,M)=0 is equivalent to Der(L,M)=Ider(L,M).
Definition 2.1. A Z2-homogeneous linear map ϕα of a Lie superalgbra L to L-mod M of parity α is called a local superderivation if, for any x∈L, there exists a superderivation Dx∈Der(L,M)α (depending on x) such that ϕα(x)=Dx(x).
Let Bα={D1,D2,…,Dm} be a basis of Der(L,M)α and Tα∈Hom(L,M)α. For x∈L, we write M(Bα;x) for the matrix (D1xD2x…Dmx) and M(Bα,Tα;x) for the matrix (M(Bα;x)Tαx), where α∈Z2. The following lemma can be easily verified by Definition 2.1.
Lemma 2.2. Let Tα be a homogeneous linear map of a Lie superalgbra L to L-mod M of parity α. Then Tα is a local superderivation of parity α if and only if the rank of M(Bα;x) is equal to the rank of M(Bα,Tα;x) for any x∈L and α∈Z2.
Set h:=E22−E33,e:=E23,f:=E32,E:=E13+E21,F:=E12−E31, where Eij is the 3×3 matrix unit. Recall that {h,e,f,∣E,F} is the standard Z2-homogeneous basis of the Lie superalgebra osp(1,2). Hereafter, we write L for osp(1,2) over F and Lχ(λ) for the simple module of L with the highest weight λ and p-character χ. Recall the basic properties of Lχ(λ), which we discuss in this paper (see [10], Section 6). There are three orbits of χ∈L∗¯0:
(1) regular nilpotent: χ(e)=χ(h)=0 and χ(f)=1;
(2) regular semisimple: χ(e)=χ(f)=0 and χ(h)=ap for some a∈F∖{0};
(3) restricted: χ(e)=χ(f)=χ(h)=0.
That is, the p-character χ is either regular nilpotent, regular semisimple, or 0. We have the following standard basis for Lχ(λ). For λ<p, we have L0(λ)=⟨v0,v2,…,v2λ−2∣v1,v3,…,v2λ−1⟩. For χ≠0, we have Lχ(λ)=⟨v0,v2,…,v2p−2∣v1,v3,…,v2p−1⟩. The L-action is given by
h.vi=(λ−i)vi,e.vi={−i2(λ+1−i2)vi−2,if i is even, −i−12(λ−i−12)vi−2,if i is odd, f.vi={−vi+2,0⩽i⩽2p−3,χpfv0,i=2p−2,χpfv1,i=2p−1,E.vi={−i2vi−1,if i is even, (λ−i−12)vi−1,if i is odd, F.vi={vi+1,0⩽i⩽2p−2,−χpfv0,i=2p−1. |
By [9, Theorem 1.2], we have H1(L,Lχ(λ))=⟨0∣ψ1,ψ2⟩ for (λ,χ)=(p−1,0), where
ψ1(e)=v2p−3,ψ1(E)=−v2p−2,ψ2(f)=v1,ψ2(F)=v0,ψ1(h)=ψ1(f)=ψ1(F)=ψ2(h)=ψ2(e)=ψ2(E)=0. |
Otherwise, H1(L,Lχ(λ))=⟨0∣0⟩. By Lemma 2.1, we have
Der(L,Lχ(λ))={⟨Dv0,Dv2,…,Dv2p−2∣Dv1,Dv3,…,Dv2p−1⟩,if χ≠0,⟨Dv0,Dv2,…,Dv2λ∣Dv1,Dv3,…,Dv2λ−1⟩,if χ=0 and λ≠p−1,⟨Dv0,Dv2,…,Dv2p−2∣Dv1,Dv3,…,Dv2p−3,ψ1,ψ2⟩,if χ=0 and λ=p−1. |
In this section, we shall characterize local superderivations of L to the simple module Lχ(λ), where χ≠0. We have (see Section 2)
Der(L,Lχ(λ))=⟨Dv0,Dv2,…,Dv2p−2∣Dv1,Dv3,…,Dv2p−1⟩. |
Let Di be the matrix of Dvi under the standard ordered bases of L and Lχ(λ). That is,
(Dvi(h),Dvi(e),Dvi(f),Dvi(E),Dvi(F))=(v0,v2,…,v2p−2∣v1,v3,…,v2p−1)Di. |
By the definition of innner superderivations, we have
(Dvi(h),Dvi(e),Dvi(f),Dvi(E),Dvi(F))={(h.vi,e.vi,f.vi,E.vi,F.vi),if i is even, (h.vi,e.vi,f.vi,−E.vi,−F.vi),if i is odd. |
Hereafter, write εi for the 5-dimensional column vector in which i entry is 1 and the other entries are 0 as well as Ei,j (resp. ˜Ei,j) for the 2p×5 (resp. p×p) matrix in which (i,j) entry is 1 and the other entries are 0. Then for t∈{0,1,…,p−2}, we have
D2t=(λ−2t)Et+1,1−t(λ+1−t)Et,2−Et+2,3−tEp+t,4+Ep+t+1,5,D2t+1=(λ−2t−1)Ep+t+1,1−t(λ−t)Ep+t,2−Ep+t+2,3−(λ−t)Et+1,4−Et+2,5,D2p−1=(λ+1)E2p,1+(λ+1)E2p−1,2+χ(f)pEp+1,3−(λ+1)Ep,4+χ(f)pE1,5,D2p−2=(λ+2)Ep,1+(λ+2)Ep−1,2+χ(f)pE1,3+E2p−1,4+E2p,5. |
For convenience, put I={1,2,3,4} and Y={y1,y2,…,y9}, where yi=εi+1, y4+j=εj+ε4, y6+m=εm+ε5 for i∈I,j∈I∖{3,4} and m∈I∖{4}. We introduce the following symbols for k∈{1,2,…,p}:
M(Bˉ0;x)1k=(λx1−λx2⋯00−x3(λ−2)x1⋯00⋮⋮⋱⋮⋮00⋯(λ−2k+4)x1−(k−1)(λ−k+2)x200⋯−x3(λ−2k+2)x1), |
M(Bˉ1;x)1k=(−λx40⋯00−x5−(λ−1)x4⋯00⋮⋮⋱⋮⋮00⋯−(λ−k+2)x4000⋯−x5−(λ−k+1)x4), |
M(Bˉ0;x)2k=(x5−x4⋯000x5⋯00⋮⋮⋱⋮⋮00⋯x5−(k−1)x400⋯0x5), |
M(Bˉ1;x)2k=((λ−1)x1−(λ−1)x2⋯00−x3(λ−3)x1⋯00⋮⋮⋱⋮⋮00⋯(λ−2k+3)x1−(k−1)(λ−k+1)x200⋯−x3(λ−2k+1)x1). |
Proposition 3.1. Suppose that p-character χ≠0. Let Tα be a homogeneous linear map of L to Lχ(λ) of parity α. Then the following statements hold:
(1) Suppose that χ is regular nilpotent. The matrices M(Bα,Tα;x) and M(Bα;x) have the same rank for any x∈L if and only if M(Bα,Tα;yi) and M(Bα;yi) have the same rank for any yi∈Y∖{y2,y4,y6} if α=ˉ0 and yi∈Y∖{y3,y4,y6} if α=ˉ1.
(2) Suppose that χ is regular semisimple. The matrices M(Bα,Tα;x) and M(Bα;x) have the same rank for any x∈L if and only if M(Bα,Tα;yi) and M(Bα;yi) have the same rank for any yi∈Y∖{y4,y6} if α=ˉ0 and yi∈Y∖{y3,y8} if α=ˉ1.
Proof. Set Tˉ0=(A00B) and Tˉ1=(0CD0), where A,D∈Mp,3 and B,C∈Mp,2. Write aij, bql, cil and dqj for the elements of matrix blocks A, B, C, and D, respectively, where i,j∈{1,2,3}, q,l∈{1,2}. Let X=(x1,x2,…,x5)T be the coordinate of any element x∈L under the standard basis of L. In this proof, we write l∈I, k∈I∖{p}, m∈I∖{p−1,p}, t∈I∖{1}, where I={1,2,…,p}.
(1) If χ is regular nilpotent, that is, χ(f)=1, χ(e)=χ(h)=0. Then we have
M(Bˉ0;x)=(M(Bˉ0;x)1p+x3˜E1,pM(Bˉ0;x)2p) and M(Bˉ1;x)=(M(Bˉ1;x)1p+x5˜E1,pM(Bˉ1;x)2p+x3˜E1,p). |
Then, M(Bˉ0,Tˉ0;x)=(M(Bˉ0;x)Tˉ0x) and M(Bˉ1,Tˉ1;x)=(M(Bˉ1;x)Tˉ1x).
Since the matrices M(Bˉ0,Tˉ0;yi) and M(Bˉ0;yi) have the same rank for any yi∈Y∖{y2,y4,y6}, we have
ap,2=bp,1=0,a1,3=bp,2,al,1=(λ−2l+2)bl,2,ak,2=−k(λ−k+1)bk+1,2,ak+1,3=−bk,2,bk,1=−kbk+1,2. |
It follows that for any x∈L,
Tˉ0x=b1,2D0x+b2,2D2x+…+bp,2D2p−2x. |
That is, Tˉ0x is a linear combination of {D0x,D2x,…,D2p−2x}. Hence, M(Bˉ0,Tˉ0;x) and M(Bˉ0;x) have the same rank for any x∈L.
Since the matrices M(Bˉ1,Tˉ1;yi) and M(Bˉ1;yi) have the same rank for any yi∈Y∖{y3,y4,y6}, we have
dp,2=0,cp,1=−(λ+1)c1,2,dp−1,2=dp,1=(λ+1)c1,2,ck,1=(λ−k+1)ck+1,2,dk,1=−(λ−2k+1)ck+1,2,dm,2=m(λ−m)cm+2,2,dl,3=cl,2. |
It follows that for any x∈L,
Tˉ1x=−c2,2D1x−c3,2D3x−…−cp,2D2p−3x+c1,2D2p−1x. |
That is, Tˉ1x is a linear combination of {D1x,D3x,…,D2p−1x}. Therefore, M(Bˉ1,Tˉ1;x) and M(Bˉ1;x) have the same rank for any x∈L.
(2) If χ is regular semisimple, that is, χ(e)=χ(f)=0, χ(h)=ap, where a∈F∖{0}. Then, for any α∈Z2, we have
M(Bα;x)=(M(Bα;x)1pM(Bα;x)2p). |
Therefore, M(Bˉ0,Tˉ0;x)=(M(Bˉ0;x)Tˉ0x) and M(Bˉ1,Tˉ1;x)=(M(Bˉ1;x)Tˉ1x).
A similar calculation, as in the case of regular nilpotent, shows that
a1,3=ap,2=bp,1=0,al,1=(λ−2l+2)bl,2,ak,2=−k(λ−k+1)bk+1,2,ak+1,3=−bk,2,bk,1=−kbk+1,2. |
It follows that for any x∈L,
Tˉ0x=b1,2D0x+b2,2D2x+…+bp,2D2p−2x. |
That is, Tˉ0x is a linear combination of {D0x,D2x,…,D2p−2x}. Hence, M(Bˉ0,Tˉ0;x) and M(Bˉ0;x) have the same rank for any x∈L.
Since M(Bˉ1,Tˉ1;yi) and M(Bˉ1;yi) have the same rank for any yi∈Y∖{y3,y8}, we have
dp,2=d1,3=c1,2=0,dp,1=dp−1,2=−cp,1,ck,1=(λ−k+1)ck+1,2,dk,1=−(λ−2k+1)ck+1,2,dm,2=m(λ−m)cm+2,2,dt,3=ct,2. |
It follows that for any x∈L,
Tˉ1x=−c2,2D1x−c3,2D3x−…−cp,2D2p−3x−1λ+1cp,1D2p−1x. |
That is, Tˉ1x is a linear combination of {D1x,D3x,…,D2p−1x}. Therefore, M(Bˉ1,Tˉ1;x) and M(Bˉ1;x) have the same rank for any x∈L.
By Lemma 2.2, as a direct consequence of Proposition 3.1, we have the following theorem:
Theorem 3.1. Let Lχ(λ) be the simple module of osp(1,2) with the highest weight λ and p-character χ. Suppose that p-character χ is regular nilpotent or regular semisimple. Then every local superderivation of osp(1,2) to Lχ(λ) is a superderivation.
In this section, we shall characterize local superderivations of osp(1,2) to the simple module L0(λ). We have (see Section 2)
Der(L,L0(λ))={⟨Dv0,Dv2,…,Dv2λ∣Dv1,Dv3,…,Dv2λ−1⟩,if λ≠p−1,⟨Dv0,Dv2,…,Dv2p−2∣Dv1,Dv3,…,Dv2p−3,ψ1,ψ2⟩,if λ=p−1. |
Let Di be the matrix of Dvi under the standard ordered bases of L and L0(λ). That is,
(Dvi(h),Dvi(e),Dvi(f),Dvi(E),Dvi(F))=(v0,v2,…,v2λ∣v1,v3,…,v2λ−1)Di. |
By the definition of inner superderivations, we have
(Dvi(h),Dvi(e),Dvi(f),Dvi(E),Dvi(F))={(h.vi,e.vi,f.vi,E.vi,F.vi),if i is even,(h.vi,e.vi,f.vi,−E.vi,−F.vi),if i is odd. |
Write ˜εi for the λ-dimensional column vector in which i entry is 1 and the other entries are 0 as well as ˆEi,j for the (2λ+1)×5 matrix in which (i,j) entry is 1 and the other entries are 0. Then for m∈{0,1,…,λ−1}, n∈{0,1,…,λ−2}, we have
D2m=(λ−2m)ˆEm+1,1−m(λ−m+1)ˆEm,2−ˆEm+2,3−mˆEλ+m+1,4+ˆEλ+m+2,5,D2n+1=(λ−2n−1)ˆEλ+n+2,1−n(λ−n)ˆEλ+n+1,2−ˆEλ+n+3,3−(λ−n)ˆEn+1,4−ˆEn+2,5,D2λ−1=−(λ−1)ˆE2λ+1,1−(λ−1)ˆE2λ,2−ˆEλ,4−ˆEλ+1,5,D2λ=−λˆEλ+1,1−λˆEλ,2−λˆE2λ+1,4. |
Proposition 4.1. Let Tˉ0 be a homogeneous linear map of L to L0(λ) of parity ˉ0, where λ∈{0,1,…,p−1}. Then the matrices M(Bˉ0,Tˉ0;x) and M(Bˉ0;x) have the same rank for any x∈L if and only if M(Bˉ0,Tˉ0;yi) and M(Bˉ0;yi) have the same rank for any yi∈Y∖{y3,y4,y8}.
Proof. Set Tˉ0=(A00B), where A∈Mλ+1,3 and B∈Mλ,2. Denote by aij and bql the elements of matrix blocks A and B, respectively, where i,j∈{1,2,3}, q,l∈{1,2}. Let X=(x1,x2,…,x5)T be the coordinate of any element x∈L under the standard basis of L. In this proof, we write k∈{1,2,…,λ}, t∈{1,2,…,λ−1}.
It is obviously true that the proposition holds for λ=0. In the following, we assume that λ is not equal to 0. Denote
M∗(Bˉ0;x)2λ=(M(Bˉ0;x)2λ−λx4˜ελ)λ×(λ+1). |
Then we have
M(Bˉ0;x)=(M(Bˉ0;x)1λ+1M∗(Bˉ0;x)2λ). |
Therefore, M(Bˉ0,Tˉ0;x)=(M(Bˉ0;x)Tˉ0x). Since the matrices M(Bˉ0,Tˉ0;yi) and M(Bˉ0;yi) have the same rank for any yi∈Y∖{y3,y4,y8}, we have
a1,3=aλ+1,2=0,aλ,2=bλ,1,ak,1=(λ−2k+2)bk,2,at,2=−t(λ−t+1)bt+1,2,ak+1,3=−bk,2,bt,1=−tbt+1,2. |
Therefore, for any x∈L, we have
Tˉ0x=b1,2D0x+b2,2D2x+…+bλ,2D2λ−2x−1λb2λ,2D2λx. |
That is, Tˉ0x is a linear combination of {D0x,D2x,…,D2λx}. Therefore, M(Bˉ0,Tˉ0;x) and M(Bˉ0;x) have the same rank for any x∈L.
Proposition 4.2. Let Tˉ1 be a homogeneous linear map of L to L0(λ) of parity ˉ1, where λ∈{0,1,…,p−1}. Then the following statements hold:
(1) Suppose that λ≠p−1. The matrices M(Bˉ1,Tˉ1;x) and M(Bˉ1;x) have the same rank for any x∈L if and only if M(Bˉ1,Tˉ1;yi) and M(Bˉ1;yi) have the same rank for any yi∈Y∖{y8}.
(2) Suppose that λ=p−1. The matrices M(Bˉ1,Tˉ1;x) and M(Bˉ1;x) have the same rank for any x∈L if and only if M(Bˉ1,Tˉ1;yi) and M(Bˉ1;yi) have the same rank for any yi∈Y∖{y1,y2,y3,y4,y8}.
Proof. Let Tˉ1=(0CD0), where C∈Mλ+1,2 and D∈Mλ,3. Denote by cil and dkj the elements of matrix blocks C and D, respectively, where i,j∈{1,2,3}, k,l∈{1,2}. Let X=(x1,x2,…,x5)T be the coordinate of any element x∈L under the standard basis of L. In this proof, we write k∈J, m∈J∖{1}, t∈J∖{λ}, where J={1,2,…,λ}.
(1) Let λ≠p−1. Denote
M∗(Bˉ1;x)1λ=(M(Bˉ1;x)1λ−x5(˜ελ)T)(λ+1)×λ. |
Then we have
M(Bˉ1;x)=(M∗(Bˉ1;x)1λM(Bˉ1;x)2λ). |
Therefore, M(Bˉ1,Tˉ1;x)=(M(Bˉ1;x)Tˉ1x).
Since the matrices M(Bˉ1,Tˉ1;yi) and M(Bˉ1;yi) have the same rank for any yi∈Y∖{y8}, we have
d1,3=dλ,2=c1,2=cλ+1,1=0,dk,1=−(λ−2k+1)ck+1,2,dt,2=−t(λ−t)ct+2,2,dm,3=cm,2,ck,1=(λ−k+1)ck+1,2. |
Then, for any x∈L, we have
Tˉ1x=c2,2D1x+c3,2D3x+…+cλ,2D2λ−3x+cλ+1,2D2λ−1x. |
That is, Tˉ1x is a linear combination of {D1x,D3x,…,D2λ−1x}. Therefore, M(Bˉ1,Tˉ1;x) and M(Bˉ1;x) have the same rank for any x∈L.
(2) Let λ=p−1. Using the fact that M(Bˉ1,Tˉ1;yi) and M(Bˉ1;yi) have the same rank for any yi∈Y∖{y1,y2,y3,y4,y8}, we have
ck,1=−kck+1,2,dk,1=2kck+1,2,dt,2=−(t+1)ct+2,1,dk,3=ck,2,dp−1,2=−cp,1. |
Therefore, for any x∈L, we have
Tˉ1x=−c2,2D1x−c3,2D3x−…−cp,2D2p−3x−cp,1ψ1x+c1,2ψ2x. |
That is, Tˉ1x is a linear combination of {D1x,D3x,…,D2p−1x,ψ1x,ψ2x}. Therefore, M(Bˉ1,Tˉ1;x) and M(Bˉ1;x) have the same rank for any x∈L.
By Lemma 2.2, as a direct consequence of Propositions 4.1 and 4.2, we have the following result:
Theorem 4.1. Let Lχ(λ) be the simple module of osp(1,2) with the highest weight λ and p-character χ. Suppose that p-character χ is restricted. Then every local superderivation of osp(1,2) to Lχ(λ) is a superderivation.
Let L be the orthogonal symplectic Lie superalgebra osp(1,2) over an algebraically closed field of prime characteristic p>2. By [10], any simple module of L is isomorphic to some simple module Lχ(λ) for highest weight λ and p-character χ, and χ is either regular nilpotent, regular semisimple, or restricted. According to Theorems 3.1 and 4.1, the following conclusion can be summarized: Every local superderivation of L to any simple module is a superderivation over an algebraically closed field of prime characteristic p>2.
We give an example. Every local superderivation of L to a 1-dimensional trivial module of L is a superderivation. In fact, according to the definition of superderivations, we can obtain that every superderivation of L to a 1-dimensional trivial module is equal to 0. According to Definition 2.1, we know that in this case, every local superderivation is equal to 0.
Shiqi Zhao: Writing-original draft, Editing; Wende Liu and Shujuan Wang: Supervision, Writing-review & editing. All authors have read and approved the final version of the manuscript for publication.
The authors declare they have not used Artificial Intelligence (AI) tools in the creation of this article.
The research was supported by the Postgraduate Innovation and Scientific Research Topic of the School of Mathematical Statistics of Hainan Normal University (No. styc202201), the NSF of Hainan Province (No. 121MS0784) and the NSF of China (No. 12061029).
The authors declare no conflicts of interest.
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