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The Lie algebra of eta-antisymmetric endomorphisms, its generators and commutators

Statement

Let (V,η) be a 4-dimensional Lorentz vector space and let (e0,e1,e2,e3) be an ordered η-orthonormal basis with η0=diag⁡(−1,1,1,1). For a linear map K:V→V (Linear map between vector spaces over the same field) with matrix M in this basis, the following are equivalent:

(a) η(Kv,w)+η(v,Kw)=0 for all v,w∈V; (b) MTη0+η0M=0; (c) M has the block form M=(0uTuΩ) with u∈R3 and ΩT=−Ω.

The set g:={K:η(Kv,w)+η(v,Kw)=0 for all v,w} is a 6-dimensional linear subspace of the space of linear maps V→V. Define the maps Mab for all 0≤a,b≤3 by (Mab)μν=δaμηbν−δbμηaν. Thus Maa=0 and Mba=−Mab; the six maps with a<b form a basis of g and satisfy [Mab,Mcd]=ηbcMad−ηacMbd−ηbdMac+ηadMbc for all 0≤a,b,c,d≤3, where [K1,K2]:=K1K2−K2K1 is the commutator. Here a real Lie algebra means a real vector space with a bilinear antisymmetric bracket satisfying [K1,[K2,K3]]+[K2,[K3,K1]]+[K3,[K1,K2]]=0. The commutator makes g such an algebra. If L:I→O(V,η), with I⊆R an open interval containing 0, is a C1 curve in O(V,η) with L(0)=id⁡V, then its derivative K:=L′(0) belongs to g, and L(s)=id⁡V+sK+o(s) as s→0. Here C1 means that each matrix entry is continuously differentiable on I, K has entries (Lab)′(0), and o(s) denotes a matrix remainder each of whose entries divided by ∣s∣ tends to 0.

Facts & Assumptions

Given: A 4-dimensional Lorentz vector space (V,η), an ordered η-orthonormal basis (ea) with η0=diag⁡(−1,1,1,1), a linear map K:V→V with matrix M, and the components of the matrix product and transpose conventions below.

[L1]

η is a symmetric bilinear form (Lorentz forms of inertia (3,1,0) on a 4-dimensional real vector space); in the basis (ea) one has η(ea,eb)=ηab with η0 diagonal, so for coordinate columns v,w of vectors of V one has η(v,w)=vTη0w (Coordinate columns [v]B and matrices [T]BC of linear maps relative to ordered bases).

[L2]

(KM) has matrix product convention (AB)ik=∑jaijbjk and the identity matrix has entry 1 on the diagonal and 0 elsewhere (Rectangular matrix multiplication and the identity matrix In, including zero-sized shapes); (AT)ij=Aji (The transpose AT of a matrix).

[L3]

The space L(V,V) of linear maps V→V is a real vector space, and the map sending a linear map to its matrix in a fixed ordered basis is a linear isomorphism onto M4(R) (The space L(V,W) of linear maps with pointwise addition and scalar multiplication, Coordinate columns [v]B and matrices [T]BC of linear maps relative to ordered bases).

[L4]

L:V→V is a linear Lorentz map when η(Lv,Lw)=η(v,w) for all v,w, and O(V,η) denotes the set of such maps (Linear and affine Lorentz maps, and the Lorentz group).

Proof

technique · direct
1.1L1L2algebra

Let v,w∈V have coordinate columns v,w. By [L1] and [L2], η(Kv,w)=vTMTη0w and η(v,Kw)=vTη0Mw, so η(Kv,w)+η(v,Kw)=vT(MTη0+η0M)w. If (a) holds this bilinear form vanishes for all v,w, and testing v,w among the standard basis vectors of R4 forces every entry of MTη0+η0M to vanish, which is (b); conversely (b) gives (a) for all v,w by the same identity. Hence (a) and (b) are equivalent.

1.2L2algebra

Write M in the block form M=(kuTwΩ) with k∈R, u,w∈R3 and Ω∈M3(R), and recall η0=diag⁡(−1,I3). Then MT=(kwTuΩT), so MTη0=(−kwT−uΩT) and η0M=(−k−uTwΩ); the sum MTη0+η0M=(−2kwT−uTw−uΩT+Ω) vanishes exactly when k=0, w=u and ΩT=−Ω. Hence (b) and (c) are equivalent.

1.3L2algebra

With the convention of [L2], (MabMcd)μν=∑λ(δaμηbλ−δbμηaλ)(δcληdν−δdληcν)=δaμηbcηdν−δaμηbdηcν−δbμηacηdν+δbμηadηcν, because ∑ληbλδcλ=ηbc and ∑ληbλδdλ=ηbd. Interchanging the pairs (a,b) and (c,d) and subtracting, the eight resulting terms regroup as (δaμηdν−δdμηaν)ηbc−(δaμηcν−δcμηaν)ηbd−(δbμηdν−δdμηbν)ηac+(δbμηcν−δcμηbν)ηad, which is exactly ηbcMad−ηbdMac−ηacMbd+ηadMbc; the computation is entrywise and therefore valid for all index values, including repeated indices and the diagonal generators Maa=0.

1.4L4L5algebra

Let s↦L(s) be a C1 curve in O(V,η) with L(0)=id⁡V, and fix v,w∈V. The function s↦η(L(s)v,L(s)w) is constant equal to η(v,w) because each L(s) satisfies the defining identity of [L4], and s↦L(s)v, s↦L(s)w are differentiable with derivatives L′(0)v, L′(0)w by [L5]. Differentiating the constant function at s=0 with the product rule for the bilinear form η gives 0=η(L′(0)v,w)+η(v,L′(0)w), so K:=L′(0) satisfies condition (a) and lies in g; and L(s)=L(0)+sK+o(s)=id⁡V+sK+o(s) is the definition of the derivative in the finite-dimensional space L(V,V) recalled in [L5]: each scalar matrix entry has remainder divided by s tending to 0 by The derivative f′(c)=lim⁡x→cf(x)−f(c)x−c of f:A→R at a point c∈A that is a limit point of A, and differentiability on a set, and the coordinates of L(s)v are finite linear combinations of these entries.

2.1step 1.2L3algebra

By (c), the maps in g are precisely those whose matrices have the form (0uTuΩ) with u∈R3 and Ω skew-symmetric; this set is closed under addition and scalar multiplication, so g is a linear subspace of L(V,V) by [L3]. A skew-symmetric 3×3 matrix is determined by its three entries above the diagonal and conversely every such triple occurs, so the skew-symmetric matrices form a 3-dimensional subspace; adding the three free coordinates of u gives dim⁡g=3+3=6. For K,H∈g, η(KHv,w)=−η(Hv,Kw)=η(v,HKw) and η(HKv,w)=η(v,KHw), so η([K,H]v,w)=−η(v,[K,H]w); thus the commutator is closed on g. Composition is bilinear, hence so is the commutator, and [K,H]=−[H,K]. Finally [K,[H,Z]]=KHZ−KZH−HZK+ZHK; adding the two cyclic permutations cancels all twelve terms by associativity. This proves the Lie algebra axioms stated above.

3.1step 1.2step 2.1L3algebra

For 0≤a<b≤3 define Mab by (Mab)μν=δaμηbν−δbμηaν. Reading off the matrix entries: M0i has (M0i)μν=δ0μδiν+δiμδ0ν, the block form with u=ei and Ω=0, while for 1≤i<j≤3 the matrix Mij has entries (Mij)μν=δiμδjν−δjμδiν, the block form with u=0 and Ω=eiejT−ejeiT (the i-th row of η restricted to spatial indices being eiT). Hence each Mab belongs to g by (c), and the correspondence Mab↔(u,Ω) maps the three M0i onto the three coordinate directions of u and the three Mij onto the three standard skew matrices eiejT−ejeiT, which are independent; therefore the six Mab are linearly independent and, since dim⁡g=6 by step 2.1, they form a basis of g.

4.1step 1.1step 1.2step 2.1step 3.1step 1.3step 1.4∎

Steps 1.1 and 1.2 establish the equivalence of (a), (b), (c); steps 2.1 and 3.1 establish that g is a 6-dimensional linear subspace with basis Mab; step 1.3 establishes the commutator identity; and step 1.4 establishes the derivative statement. This proves every clause of the statement.

Depends on

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