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4.5 Admitting generators of degree zero

4.5.2 Iterative generation and subsequent extension to a basis

The approach given in 4.5.1 has the disadvantage that the sequence in which elements ofS were considered for extension to a basis of Gkcould not be choosen freely. If we can iteratively generate all candidates for extension to a basis first and only then extend to a basis, we can avoid this problem. We will see that imposing the following additional conditions on the Lie algebra G allows to avoid cases where the algorithm never terminates.

Definition 4.5.8(pseudo-Hall-exhaustibility). A Lie algebra G equipped with aN0-gradation degewith the properties

1. the dimensions dim Gl are finite for alll(G is degreewise finite dimensional), 2. for alllexistsnl ∈N0such that

adgnl adgnl1. . .adg1g=0 ∀gi∈G0,g∈Gl (4.37) is calledpseudo-Hall-exhaustible.

Remark 4.5.9. In particular, this obviously implies that G0is a finite-dimensional subalgebra.

Example 4.5.10. The following Lie algebras are pseudo-Hall-exhaustible:

1. finite-dimensional nilpotent Lie algebras with the trivial gradation; here G=G0, 2. finitely generated Lie algebras that are graded by the monomial degree; here G0 = 0,

G1is spanned by the generators,

3. he(0+),gl>0i ⊂g(the Pohlmeyer-Rehren Lie algebra ind=3).

The last example is a special case of the following more general proposition.

Proposition 4.5.11. LetGbe a degreewise finite-dimensionalN0-graded Lie algebra with semisimple stratumG0.

Recall that in this situation (cf. subsection 2.2.3)G0 has a root space decomposition with base {α1, . . . , αb}and set of positive roots R+, and (cf. subsection 2.3.1) each stratumGlcan be decomposed into weight spaces relative toG0.

Then the Lie subalgebraG˜ (ofG) generated by

{x∈Gβ0 |β∈R+} ∪G1 (4.38) is pseudo-Hall-exhaustible.

Proof. Consider that forl>1, ˜Gl =Glis a G0-module, so the same weight space decomposi-tion applies. Without loss of generality (otherwise, decomposegandgiaccordingly)g∈Gλl for some weightλ∈Γandgi ∈ gβ0i for some positive rootβi∈R+for alli. By theorem 2.3.3:2, there existki ∈N0,i∈ {1, . . . ,b}such that

λ = σl

b

X

i=1

kiαi, (4.39)

whereσlis the highest weight of Gl. In particular, K:=

n

X

i=1

ki ≥0. (4.40)

Similarly, by the definition ofR+, there exist coefficientsmij∈N0such that for allβj ∈R+: βj =

n

X

i=1

mijαi (4.41)

withPn

i=1mij>0 (otherwise,βj=0<R+). Now, because of theorem 2.3.2:2

adgpadgp1. . .adg1g∈G˜λlp (4.42)

with

λp := λ−

=:kij

z }| {

ki

p

X

j=1

mij

αi. (4.43)

But forp>Kwe have

Kp :=

n

X

i=1

kpi <0, (4.44)

so Gλlp = 0 (λp is not a weight) because otherwise, there would be a contradiction to the analogue to equation (4.40) forλp(instead ofλ) that would hold ifλpwere a weight.

Remark 4.5.12. Pseudo-Hall-exhaustibility is a stronger property for graded Lie algebras than being degreewise finite dimensional. For instance, the Pohlmeyer-Rehren Lie algebra ford =3 is degreewise finite dimensional but not pseudo-Hall-exhaustible, because G can be decomposed into eigenspaces of adh, an inner automorphism that is not identically zero.

Let now G be a pseudo-Hall-exhaustible Lie algebra generated by the degreewise finite setX. In this context, we can formulate the following variation ofPHall:

Algorithm 8PHallExh

1: (H,B) :=PHall(X0,lmax) with large enoughlmax .see remark 4.3.13

2: fork=1, . . . ,lmaxdo

3: S˜ := {h ∈ X|dege(h) = k} ∪

(h,g) ∈ H × H| dege(h) + dege(g) = kand IsHallElement(h,g)=True

4: while# ˜S>0do

5: Remove thosesi∈S˜with vanishing image in G and append them toB

6: S:=S_S˜

7: S˜ :=

(h,g) ∈ S˜ ×H| dege(g) = 0 and IsHallElement(h,g) = True _ (g,h) ∈ H×S,˜ | dege(g)=0 and IsHallElement(g,h)=True

8: S :=Sort(S, >S) .such thats1 <Ss2<S. . . <Ssr

9: fori=1, ...,rdo

10: ifsiis linearly dependent ofH(in G)then

11: B:=B_{si+P

jci jhi j}withci j∈C, hi j∈Hsuch thatsi+P

jci jhi j=0

12: else

13: H:=H_{si}

14: return(H,B)

Remark 4.5.13. Since each iteration of thewhileloop in step 4 consists of adjoining elements of external degree zero, condition 3 of pseudo-Hall-exhaustability implies that after thenk +1-th iteration of +1-the loop, ˜S={}, so the exit condition of thewhileloop is met, the loop is finite and the algorithm terminates.

Outlook

5.1 Interplay of the Hall algorithm and representation theory

Throughout the entire chapter 4, we have always used Hall orders<H and sorting orders<S

that were given a priori. It might be worthwhile to go the other way around andconstruct Hall and sorting orders that are tailored to the problem at hand.

Of particular interest might be Hall and sorting orders that give us a shortest pseudo-Hall-basis by minimizing #Hk.

In situations where some of the representation theory of the Lie subalgebraG0is already known (for instance,g0 so(d,C) in the case of the Pohlmeyer-Rehren Lie algebra that will be considered in the sequel), in the spirit of remark 4.5.5 we might want to find a setHthat consists – as far as possible given the constraints, for instance imposed by the axioms for Hall sets – of lowest weight vectors of irreducibleg0-modules (expressed in terms of brackets of elements of lower degree) and their multiple adjoints of elements of g0satisfying equation (4.34). This would allow us to see theg0-modules more clearly in the pseudo-Hall-basis.

Unfortunately, it isn’t immediately clear how to approach this problem, and it also isn’t clear how successful we can hope to be.

Example 5.1.1. Consider the situation of remark 4.5.6 for d = 3 and further suppose that we have found some Hall elementv0 =[a0,v1] ∈ gml . (v0 ∈gml with somem,lautomatically follows if the elements ofXhave definite degree and magnetic quantum number.) Now, the condition

v∈H ⇒ adnxv∈H for alln∈N0 (5.1) would be desirable because this aligns the Hall set neatly with the irreducibleg0-modules.

But then, in particular [x,v0] ∈ H. By axiom 2 (b) of a Hall set (4.2.6), this impliesv0 ∈Xor a0H x. In the former case,v0∈gl∩X. We consider the latter case.

Now suppose the conditions from 4.5.6 on <H are met, then this implies a0 = x, and therefore furtherv1 ∈ gm1

l ). Since we havea0 =x, we can inductively apply the reasoning applied tov0tov1and inductively further tovi(that have the propertyv0=adixvi). Because we cannot continue the iteration more thanm+l+1 times before the latter case is excluded due to corollary 2.3.12:3, it follows that

v0 =adrxvr

with somevr∈Xwithr≤m+l+1 and degevr=degev0, in particularvr∈gml r.

We have shown that wecan’t express the elements vr as brackets of elements of lower degree, unlike our intention. Since this can be done for arbitrarily highl, the setXmust be infinite.

If we want to uphold condition (5.1), we therefore have to choose a Hall order<H that violates the conditions from 4.5.6. But unfortunately, it is not obvious how to do this.