Startseite Biderivations of the higher rank Witt algebra without anti-symmetric condition
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Biderivations of the higher rank Witt algebra without anti-symmetric condition

  • Xiaomin Tang EMAIL logo und Yu Yang
Veröffentlicht/Copyright: 30. April 2018

Abstract

The Witt algebra 𝔚d of rank d(≄ 1) is the derivation algebra of Laurent polynomial algebras in d commuting variables. In this paper, all biderivations of 𝔚d without anti-symmetric condition are determined. As an applications, commutative post-Lie algebra structures on 𝔚d are obtained. Our conclusions recover and generalize results in the related papers on low rank or anti-symmetric cases.

MSC 2010: 17B05; 17B40

1 Introduction

Let đ”œ be a field of characteristic zero. We denote by â„€ the sets of all integers. We fix a positive integer d ≄ 1 and denote by 𝔚d the derivation Lie algebra of the Laurent polynomial algebra A=Fz1±1,⋯,zd±1 in d commuting variables z1, 
, zd over đ”œ. It is well known that the infinite-dimensional Lie algebra 𝔚d is called the Witt algebra of rank d. Its representations have attracted a lot of attention from many mathematicians [1,2,3,4,5]. According to their notations, the Witt algebra can be described as follows.

For i ∈ {1, 2, 
, d}, set ∂i=zi∂zi . For any n ∈ â„€d (considered as row vectors, i.e., n = (n1, 
, nd) where ni ∈ â„€), set zn = z1n1z2n2⋯zdnd. We fix the vector space đ”œd of 1 × d matrices. Denote the standard basis by e1, e2, 
, ed, which are the row vectors of the identity matrix Id. Let (·, ·) be the standard symmetric bilinear form such that (u, v) = uvT ∈ đ”œ, where vT is the matrix transpose. For u ∈ đ”œd and r ∈ â„€d, we denote D(u, r) = zr∑i=1dui∂i. Then we have

Du,r,Dv,s=Dw,r+s,u,v∈Fd,r,s∈Zd,(1)

where w = (u, s)v − (v, r)u. Therefore, the Witt algebra of rank d is the đ”œ-linear space

Wd=spanF{D(u,r)|u∈Fd,r∈Zd}

with brackets determined by (1). Note that D(u, r) is linear only with respect to the first component u. It is clear that 𝔚d has a basis as

{D(e1,r),D(e2,r),⋯,D(ed,r)|r∈Zd}.

Recall that

h=Du,0|u∈Fd=spanF{D(e1,0),D(e2,0),⋯,D(ed,0)}

is the Cartan subalgebra of 𝔚d.

It is well-known that derivations and generalized derivations are very important subjects in the research of both algebras and their generalizations. In recent years, biderivations have interested a great number of authors, see [6,7,8,9,10,11,12,13,14,15,16], [7], BreĆĄar et al. showed that all biderivations on commutative prime rings are inner biderivations, and determined the biderivations of semiprime rings. The notion of biderivations of Lie algebras was introduced in [15]. Since then, biderivations of Lie algebras have been studied by many authors. It may be useful and interesting for computing the biderivations of some important Lie algebras. In particular, the authors in [11] determined anti-symmetric biderivations for all 𝔚d. All biderivations of 𝔚1 without anti-symmetric condition were later obtained in [14]. In the present paper, we shall use the methods of [14] to determine all biderivations of 𝔚d for all d ≄ 1.

Next, let us introduce the definition of biderivation. For an arbitrary Lie algebra L, a bilinear map f : L × L → L is called a biderivation of L if it is a derivation with respect to both components. Namely, for each x ∈ L, both linear maps ϕx and ψx form L into itself given by ϕx = f(x, ·) and ψx = f(·, x) are derivations of L, i.e.,

f([x,y],z)=[x,f(y,z)]+[f(x,z),y],f(x,[y,z])=[f(x,y),z]+[y,f(x,z)](2)

for all x, y, z ∈ L. Denote by B(L) the set of all biderivations of L. For λ ∈ ℂ, it is easy to verify that the bilinear map f : L × L → L given by f(x, y) = λ [x, y] for all y ∈ L is a biderivation of L. Such biderivation is said to be inner. Recall that f is anti-symmetric if f(x, y) = -f(y, x) for all x, y ∈ L.

In this paper, we will prove that every biderivation of 𝔚d without anti-symmetric condition is inner. As an application, we characterize the commutative post-Lie algebra structures on 𝔚d.

2 Biderivations of the Witt algebras

We first give some lemmas which will be useful for our proof.

Lemma 2.1

([17]). Every derivation of 𝔚dis inner.

Lemma 2.2

Suppose thatf ∈ B(𝔚d). Then there are linear mapsϕandψfrom 𝔚dinto itself such that

f(x,y)=[ϕ(x),y]=[x,ψ(y)]

for allx, y ∈ 𝔚d.

Proof

Since f is a biderivation of 𝔚d, then for a fixed element x ∈ 𝔚d the map ϕx : L → L given by ϕx(y) = f(x, y) is a derivation of 𝔚d by (2). Therefore, from Lemma 2.1 we know that ϕx is an inner derivation of 𝔚d. Therefore, there is a map ϕ : 𝔚d → 𝔚d such that ϕx = adϕ(x), i.e., f(x, y) = [ϕ(x), y]. Since f is bilinear, it is easy to verify that ϕ is linear. Similarly, if we define a map ψz from 𝔚d into itself given by ψz(y) = f(y, z) for all y ∈ 𝔚d, then one can obtain a linear map ψ from 𝔚d into itself such that f(x, y) = ad(−ψ (y))(x) = [x, ψ(y)]. The proof is completed. □

Lemma 2.3

Letf ∈ B(𝔚d) andϕ, ψbe determined by Lemma 2.2. For any i, j ∈ {1, 
, d} and r, s ∈ â„€d, we assume that

ϕ(D(ei,r))=∑k=1d∑n∈Zdak,n(i,r)D(ek,n),(3)
ψ(D(ej,s))=∑k=1d∑n∈Zdbk,n(j,s)D(ek,n)(4)

whereak,n(i,r),bk,n(j,s) ∈ đ”œ. Then

∑k=1d∑n∈Zdak,n(i,r)skD(ej,n+s)−∑k=1d∑n∈Zdak,n(i,r)njD(ek,n+s)=∑k=1d∑n∈Zdbk,n(j,s)niD(ek,n+r)−∑k=1d∑n∈Zdbk,n(j,s)rkD(ei,n+r).(5)

Proof

Lemma 2.2 tells us that

f(D(ei,r),D(ej,s))=[ϕ(D(ei,r)),D(ej,s)]=[D(ei,r),ψ(D(ej,s))]

for all i, j ∈ {1, 
, d} and r, s ∈ â„€d. From (3) and (4), the conclusion follows by direct computations. □

Lemma 2.4

Letf ∈ B(𝔚d) andϕ, ψbe determined by Lemma 2.2. Then the Cartan subalgebra đ”„ is an invariant subspace of both mapsϕandψ.

Proof

Note that D(ei, 0), i = 1, 
 d span the Cartan subalgebra đ”„, so it is enough to prove that ϕ(D(ei, 0)), ψ(D(ei, 0)) ∈ đ”„ for each i ∈ {1,2, 
, d}. For any fixed i ∈ â„€, applying (3) for r = 0 we have that

ϕ(D(ei,0))=∑k=1d∑n∈Zdak,n(i,0)D(ek,n).(6)

We will prove that ak,n(i,0) = 0 in (6) for all n ∈ â„€d ∖ {0}, and so that ϕ(D(ei, 0)) = ∑k=1dak,0(i,0)D(ek,0)∈h. The proof of ψ(D(ei, 0)) ∈ đ”„ is similar.

Now for an arbitrary s ∈ â„€d ∖ {0}, we assume that sj ≠ 0 for some j ∈ {1,2, 
, d}. It follows by letting r = 0 in (5) that

∑k=1d∑n∈Zdak,n(i,0)skD(ej,n+s)−∑k=1d∑n∈Zdak,n(i,0)njD(ek,n+s)=∑k=1d∑n∈Zdbk,n(j,s)niD(ek,n).(7)

It is clear that the right-hand side of (7) does not contain any non-zero elements in đ”„, thereby the left-hand side is so. From this, one has that

∑k=1dak,−s(i,0)skD(ej,0)+∑k=1dak,−s(i,0)sjD(ek,0)=0,

which implies that

(2aj,−s(i,0)sj+∑k=1k≠jdak,−s(i,0)sk)D(ej,0)+∑k=1k≠jdak,−s(i,0)sjD(ek,0)=0.(8)

Thanks to sj ≠ 0, we have by (8) that ak,−s(i,0) = 0 for every k ≠ j. Once again applying (8), we see that 2aj,−s(i,0)sj = 0, i.e., aj,−s(i,0) = 0. In other words, ak,−s(i,0) = 0 for all k = 1, 
, d. Notice the arbitrariness of s, the proof is completed. □

Lemma 2.5

Letf ∈ B(𝔚d) andϕ, ψbe determined by Lemma 2.2. Then we have

ϕ(D(ei,r))≡ai,r(i,r)D(ei,r)modh,(9)
ψ(D(ej,s))≡bj,s(j,s)D(ej,s)modh(10)

for all i, j ∈ {1, 
, d} and r, s ∈ â„€d ∖{0}.

Proof

We will only prove (10), the proof for (9) is similar. Continuing the use of the assumptions (3) and (4), we also have that (7) holds. This, together with Lemma 2.4 meaning ak,n(i,0) = 0 for all n ∈ â„€d ∖{0}, yields that

(∑k=1dak,0(i,0)sk)D(ej,s)=∑k=1d∑n∈Zdn≠0bk,n(j,s)niD(ek,n).(11)

Therefore, from (11) we see that bk,n(j,s)ni = 0 for all i = 1, 
 d and (k, n) ≠ (j, s) with n ≠ 0. This implies that bk,n(j,s) = 0 for all (k, n) ≠ (j, s) since n ≠ 0. It has been obtained that

ψ(D(ej,s))=∑k=1dbk,0(j,s)D(ek,0)+bj,s(j,s)D(ej,s),

which proves (10). □

Lemma 2.6

Let f ∈ B(𝔚d) andϕ, ψ be determined by Lemma 2.2. Then there is λ ∈ đ”œ such that

ϕ(D(ei,r))=λD(ei,r),ψ(D(ej,s))=λD(ej,s)

for all i, j ∈ {1, 
, d} and r, s ∈ â„€d ∖ {0}.

Proof

We use the assumptions (3) and (4). With Lemmas 2.4 and 2.5, Equation (5) becomes

(∑k=1dak,0(i,r)sk)D(ej,s)+ai,r(i,r)siD(ej,r+s)−ai,r(i,r)rjD(ei,r+s)=−(∑k=1dbk,0(j,s)rk)D(ei,r)+bj,s(j,s)siD(ej,r+s)−bj,s(j,s)rjD(ei,r+s).

It follows that

∑k=1dak,0(i,r)sk=∑k=1dbk,0(j,s)rk=0,∀s,r∈Zd∖{0},withs≠r,(12)
ai,r(i,r)si=bj,s(j,s)si,ai,r(i,r)rj=bj,s(j,s)rj,∀s,r∈Zd∖{0},i≠j.(13)

Although r ≠ 0, but we still can find a subset {sÍ (1), 
, sÍ (d)} of â„€d such that sÍ (1), 
, sÍ (d) are đ”œ-linearly independent with sÍ (t) ≠ r, t = 1, 
, d. Let s run over the vectors sÍ (1), 
, sÍ (d) in (12), then we see that

s~(1)⋼s~(d)a1,0(i,r)⋼ad,0(i,r)=0,

which implies that

a1,0(i,r)=⋯=ad,0(i,r)=0.

Similarly, we have

b1,0(j,s)=⋯=bd,0(j,s)=0.

Next, by taking s = (1, 
, 1) ≐ e in (13), we have ai,r(i,r)=bj,e(j,e) for all i ≠ j. This tells us that ai,r(i,r)=b1,e(1,e) for any i ≠ 1 and ai,r(i,r)=b2,e(2,e) for any i ≠ 2. It follows that ai,r(i,r) is a constant denoted by λ for all i = 1, 
, d and r ∈ â„€d ∖ {0}. Similarly, we obtain that bj,s(j,s) is a constant denoted by ÎŒ for all j = 1, 
, d and s ∈ â„€d ∖ {0}. Finally, by a2,e(2,e)=b1,e(1,e) we have λ = ÎŒ, which completes the proof. □

Lemma 2.7

Let f ∈ B(𝔚d), andϕ, ψ be determined by Lemma 2.2, λ ∈ đ”œ be given by Lemma 2.7. Then

ϕ(D(ei,0))=λD(ei,0),ψ(D(ej,0))=λD(ej,0)

for all i, j ∈ {1, 
, d}.

Proof

We use the assumptions (3) and (4). By Lemma 2.4, we have

ϕ(D(ei,0))=∑k=1dak,0(i,0)D(ek,0),ψ(D(ej,0))=∑k=1dbk,0(j,0)D(ek,0)

for all i, j ∈ â„€. Namely, it follows that, in (3) and (4), ak,n(i,0)=bk,n(j,0)=0 for all n ∈ â„€d ∖ {0}. Note that Lemma 2.6 tells us that, in (3) and (4), ak,n(i,r)=ÎŽi,kÎŽn,rλ and bk,n(j,s)=ÎŽj,kÎŽn,sλ for any i, j ∈ â„€ and r, s ∈ â„€d ∖ {0}. All these together with letting r = 0 in (5), deduce that

∑k=1dak,0(i,0)skD(ej,s)=λsiD(ej,s).

Then we have

s1a1,0(i,0)+⋯+si(ai,0(i,0)−λ)+⋯+sdad,0(i,0)=0

for all s ∈ â„€d ∖ {0}. Let s run over the vectors e1, e2, 
, ed, we have ai,0(i,0)=λ and ak,0(i,0)=0 for every k ≠ i. This proves that ϕ(D(ei, 0)) = λD(ei, 0). Similarly, we can obtain that ψ(D(ej, 0)) = λD(ej, 0). The proof is completed. □

Our main result is the following.

Theorem 2.8

Every biderivation of 𝔚dwithout anti-symmetric condition is inner.

Proof

Suppose that f is a biderivation of 𝔚d. Let ϕ be determined by Lemma 2.2, λ ∈ đ”œ be given by Lemma 2.7. Note that 𝔚d is spanned by D(u, 0), D(u, r) for all u ∈ đ”œd and r ∈ â„€d ∖ {0}. Then by Lemmas 2.6 and 2.7, we see that ϕ(x) = λx for all x ∈ 𝔚d. Now, it follows by Lemma 2.2 that

f(x,y)=[ϕ(x),y]=[λx,y]=λ[x,y]

for all x, y ∈ 𝔚d, as desired. □

3 An application

The anti-symmetric biderivation can be applied to linear commuting maps, commuting automorphisms and derivations, see [8]. Another application of biderivation without the anti-symmetric condition is the characterization of post-Lie algebra structures. Post-Lie algebras have been introduced by Valette in connection with the homology of partition posets and the study of Koszul operads [18]. As [19] point out, post-Lie algebras are natural common generalization of pre-Lie algebras and LR-algebras in the geometric context of nil-affine actions of Lie groups. Recently, many authors have studied some post-Lie algebras and post-Lie algebra structures [19, 20, 21, 22, 23]. In particular, the authors of [19] study the commutative post-Lie algebra structure on Lie algebra. Let us recall the following definition of a commutative post-Lie algebra.

Definition 3.1

Let (L,[,]) be a Lie algebra over đ”œ. A commutative post-Lie algebra structure on L is a đ”œ-bilinear product x ∘ y on L and satisfies the following identities:

x∘y=y∘x,[x,y]∘z=x∘(y∘z)−y∘(x∘z),x∘[y,z]=[x∘y,z]+[y,x∘z].

for all x, y, z ∈ L. It is also said that (L,[,],∘) is a commutative post-Lie algebra.

Lemma 3.2

([14]). Let (L,[,],∘) be a commutative post-Lie algebra. If we define a bilinear map f : L × L → L given by f(x, y) = x ∘ y for all x, y ∈ L, thenf is a biderivation of L.

Theorem 3.3

Any commutative post-Lie algebra structure on the generalized Witt algebra 𝔚dis trivial. Namely, x ∘ y = 0 for all x, y ∈ 𝔚d.

Proof

Suppose that (𝔚d, [, ], ∘) is a commutative post-Lie algebra. By Lemma 3.2 and Theorem 2.8, we know that there is λ ∈ đ”œ such that x ∘ y = λ [x, y] for all x, y ∈ 𝔚d. Since the post-Lie algebra is commutative, so we have λ[x, y] = λ[y, x]. It implies that λ = 0. The proof is completed. □

Acknowledgement

We would like to thank the referee for invaluable comments and suggestions. This work was supported in part by the NNSFC [grant number 11771069], the NSF of Heilongjiang Province [grant number A2015007] and the Funds of the Heilongjiang Education Committee [grant numbers 12531483 and HDJCCX-2016211).

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Received: 2017-11-08
Accepted: 2018-02-26
Published Online: 2018-04-30

© 2018 Tang and Yang, published by De Gruyter

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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  61. On the power sum problem of Lucas polynomials and its divisible property
  62. Existence of solutions for a shear thickening fluid-particle system with non-Newtonian potential
  63. On generalized P-reducible Finsler manifolds
  64. On Banach and Kuratowski Theorem, K-Lusin sets and strong sequences
  65. On the boundedness of square function generated by the Bessel differential operator in weighted Lebesque Lp,α spaces
  66. On the different kinds of separability of the space of Borel functions
  67. Curves in the Lorentz-Minkowski plane: elasticae, catenaries and grim-reapers
  68. Functional analysis method for the M/G/1 queueing model with single working vacation
  69. Existence of asymptotically periodic solutions for semilinear evolution equations with nonlocal initial conditions
  70. The existence of solutions to certain type of nonlinear difference-differential equations
  71. Domination in 4-regular Knödel graphs
  72. Stepanov-like pseudo almost periodic functions on time scales and applications to dynamic equations with delay
  73. Algebras of right ample semigroups
  74. Random attractors for stochastic retarded reaction-diffusion equations with multiplicative white noise on unbounded domains
  75. Nontrivial periodic solutions to delay difference equations via Morse theory
  76. A note on the three-way generalization of the Jordan canonical form
  77. On some varieties of ai-semirings satisfying xp+1 ≈ x
  78. Abstract-valued Orlicz spaces of range-varying type
  79. On the recursive properties of one kind hybrid power mean involving two-term exponential sums and Gauss sums
  80. Arithmetic of generalized Dedekind sums and their modularity
  81. Multipreconditioned GMRES for simulating stochastic automata networks
  82. Regularization and error estimates for an inverse heat problem under the conformable derivative
  83. Transitivity of the Δm-relation on (m-idempotent) hyperrings
  84. Learning Bayesian networks based on bi-velocity discrete particle swarm optimization with mutation operator
  85. Simultaneous prediction in the generalized linear model
  86. Two asymptotic expansions for gamma function developed by Windschitl’s formula
  87. State maps on semihoops
  88. 𝓜𝓝-convergence and lim-inf𝓜-convergence in partially ordered sets
  89. Stability and convergence of a local discontinuous Galerkin finite element method for the general Lax equation
  90. New topology in residuated lattices
  91. Optimality and duality in set-valued optimization utilizing limit sets
  92. An improved Schwarz Lemma at the boundary
  93. Initial layer problem of the Boussinesq system for Rayleigh-Bénard convection with infinite Prandtl number limit
  94. Toeplitz matrices whose elements are coefficients of Bazilevič functions
  95. Epi-mild normality
  96. Nonlinear elastic beam problems with the parameter near resonance
  97. Orlicz difference bodies
  98. The Picard group of Brauer-Severi varieties
  99. Galoisian and qualitative approaches to linear Polyanin-Zaitsev vector fields
  100. Weak group inverse
  101. Infinite growth of solutions of second order complex differential equation
  102. Semi-Hurewicz-Type properties in ditopological texture spaces
  103. Chaos and bifurcation in the controlled chaotic system
  104. Translatability and translatable semigroups
  105. Sharp bounds for partition dimension of generalized Möbius ladders
  106. Uniqueness theorems for L-functions in the extended Selberg class
  107. An effective algorithm for globally solving quadratic programs using parametric linearization technique
  108. Bounds of Strong EMT Strength for certain Subdivision of Star and Bistar
  109. On categorical aspects of S -quantales
  110. On the algebraicity of coefficients of half-integral weight mock modular forms
  111. Dunkl analogue of SzĂĄsz-mirakjan operators of blending type
  112. Majorization, “useful” Csiszár divergence and “useful” Zipf-Mandelbrot law
  113. Global stability of a distributed delayed viral model with general incidence rate
  114. Analyzing a generalized pest-natural enemy model with nonlinear impulsive control
  115. Boundary value problems of a discrete generalized beam equation via variational methods
  116. Common fixed point theorem of six self-mappings in Menger spaces using (CLRST) property
  117. Periodic and subharmonic solutions for a 2nth-order p-Laplacian difference equation containing both advances and retardations
  118. Spectrum of free-form Sudoku graphs
  119. Regularity of fuzzy convergence spaces
  120. The well-posedness of solution to a compressible non-Newtonian fluid with self-gravitational potential
  121. On further refinements for Young inequalities
  122. Pretty good state transfer on 1-sum of star graphs
  123. On a conjecture about generalized Q-recurrence
  124. Univariate approximating schemes and their non-tensor product generalization
  125. Multi-term fractional differential equations with nonlocal boundary conditions
  126. Homoclinic and heteroclinic solutions to a hepatitis C evolution model
  127. Regularity of one-sided multilinear fractional maximal functions
  128. Galois connections between sets of paths and closure operators in simple graphs
  129. KGSA: A Gravitational Search Algorithm for Multimodal Optimization based on K-Means Niching Technique and a Novel Elitism Strategy
  130. Ξ-type Calderón-Zygmund Operators and Commutators in Variable Exponents Herz space
  131. An integral that counts the zeros of a function
  132. On rough sets induced by fuzzy relations approach in semigroups
  133. Computational uncertainty quantification for random non-autonomous second order linear differential equations via adapted gPC: a comparative case study with random Fröbenius method and Monte Carlo simulation
  134. The fourth order strongly noncanonical operators
  135. Topical Issue on Cyber-security Mathematics
  136. Review of Cryptographic Schemes applied to Remote Electronic Voting systems: remaining challenges and the upcoming post-quantum paradigm
  137. Linearity in decimation-based generators: an improved cryptanalysis on the shrinking generator
  138. On dynamic network security: A random decentering algorithm on graphs
Heruntergeladen am 7.9.2025 von https://www.degruyterbrill.com/document/doi/10.1515/math-2018-0042/html
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