Zoran Skoda automorphism of a Lie algebra

Let 𝔤=(𝔤,[,])\mathfrak{g} = (\mathfrak{g},[,]) be a Lie algebra over a field kk. A kk-linear map ψ:𝔤→𝔤\psi:\mathfrak{g}\to\mathfrak{g} is a Lie algebra automorphism of 𝔤\mathfrak{g} if it preserves the Lie bracket, i.e. for all X,Y∈𝔤X,Y\in\mathfrak{g} ψ([X,Y])=ψ(X),ψ(Y)]\psi([X,Y]) = \psi(X),\psi(Y)].

Let now 𝔤\mathfrak{g} be finite dimensional. Let e 1,…,e ne_1,\ldots,e_n be a basis of 𝔤\mathfrak{g} and

[e i,e j]=C ij ke k [e_i,e_j] = C^k_{i j} e_k

determine the structure constants C ij kC^k_{i j}. Then ψ(e i)=e jM i j\psi(e_i) = e_j M^j_i; for some invertible matrix MM. Denote e′ i=ψ(e i)e'_i = \psi(e_i) the new basis. Then

[e i′,e j′]=[e l,e m]M i lM j m=C lm pM i lM j me p [e_i', e_j'] = [e_l,e_m] M^l_i M^m_j = C^p_{l m} M^l_i M^m_j e_p
C ij ke′ k=C ij ke pM k p C^k_{i j} e'_k = C^k_{i j} e_p M^p_k

Therefore the condition that ψ\psi is an isomorphism is that its matrix MM is invertible and satisfies

C ij ke pM k p=C lm pM i lM j me p C^k_{i j} e_p M^p_k = C^p_{l m} M^l_i M^m_j e_p

hence, for all i,j,pi,j,p,

C ij kM k p=C lm pM i lM j m C^k_{i j} M^p_k = C^p_{l m} M^l_i M^m_j

For a finite dimensional Lie algebra over reals or complexes, one says that an automorphism ψ\psi is an inner automorphism if it is of the form Ad(g)Ad(g) for some g∈Gg\in G. Recall that Ad(g)(X)=ddtgexp(tX)g −1| t=0Ad(g)(X) = \frac{d}{d t} g exp(t X) g^{-1} |_{t = 0}. If gg is not in the component of the unit element then there is g′g' in that component such that Ad(g′)=Ad(g)Ad(g') = Ad(g), so we can take gg in the unit component. This gg is not necessary in the image of the exponential map, but it is always a product of elements in the image; therefore the inner automorphisms are generated by elements which are in the image of the exponential map. In fact one can use the Hadamard formula

e XYe −X=e ad(X)Y e^X Y e^{-X} = e^{ad(X)} Y

and consider generators of the form e ad(X)e^{ad(X)} instead as being infintesimal automorphisms (by the definition); again if we need a product of several ones then one could use the Hausdorff formula to reduce to one, but that one has its own convergence limits. The expressions e ad(X)e^{ad(X)} sometimes make sense in infinite dimensional situations, with other definitions of the exponential.

For example the following formal computation may make sense. Let DD be a real linear derivation and 𝔤\mathfrak{g} also over reals. Define the exponential of the operator on underlying (topological) vector space of 𝔤\mathfrak{g} by exp(D)=limN→∞(1+DN) Nexp(D) = \underset{N\to\infty}{lim} (1 +\frac{D}{N})^N. Then
exp(D)exp(D) is an automorphism of 𝔤\mathfrak{g}.

Sketch of the proof.

Let tt be a real parameter in some neighborhood of zero.

[limN→∞(1+DN) NX,limK→∞(1+DK) KY] \left[ \underset{N\to\infty}{lim} (1 +\frac{D}{N})^N X, \underset{K\to\infty}{lim}(1 +\frac{D}{K})^K Y\right]
=limN→∞[(1+DN) NX,(1+DN) NY] = \underset{N\to\infty}{lim} \left[ (1 +\frac{D}{N})^N X, (1 +\frac{D}{N})^N Y\right]
=limN→∞[(1+DN) NX,(1+DN) NY] = \underset{N\to\infty}{lim} \left[ (1 +\frac{D}{N})^N X, (1 +\frac{D}{N})^N Y\right]

Now define X˜=(1+DN) N−1X\tilde{X} = (1+\frac{D}{N})^{N-1} X and similarly Y˜\tilde{Y}. Then

=limN→∞[X˜+D(X˜)/N,Y˜+D(Y˜)/N] = \underset{N\to\infty}{lim} \left[ \tilde{X} + D(\tilde{X})/N, \tilde{Y}+D(\tilde{Y})/N\right]
=limN→∞([X˜,Y˜]+[D(X˜),Y˜]/N,Y˜+[X˜,D(Y˜)]/N+O(N −2)) = \underset{N\to\infty}{lim} ([\tilde{X},\tilde{Y}] + [D(\tilde{X}),\tilde{Y}]/N, \tilde{Y}+[\tilde{X},D(\tilde{Y})]/N + O(N^{-2}))

Continue with X˜˜\tilde{\tilde{X}} etc. and up to NN terms of size O(N −2)O(N^{-2}), that is a sum of size O(N −1)O(N^{-1}) we get the same as from

limN→∞(1+D/N) N[X,Y] \underset{N\to\infty}{lim}(1+D/N)^N[X,Y]

as the latter can be the same way transformed to

limN→∞([X,Y]˜+D([X,Y])˜N) \underset{N\to\infty}{lim} (\widetilde{[X,Y]} + \frac{\widetilde{D([X,Y])}}{N})

and so on and DD is derivation hence

D([X˜,Y˜])/N=[D(X˜),Y˜]/N+[X˜,D(Y˜)]/N. D([\tilde{X},\tilde{Y}])/N = [D(\tilde{X}),\tilde{Y}]/N +[\tilde{X},D(\tilde{Y})]/N.

End of proof.

Now we can take D=ad(tX)=tad(X)D = ad(t X) = t ad(X) for X∈𝔤X\in\mathfrak{g} and tt n some neighborhood of zero in real numbers.

Consider the algebra of functions Fun(Aut(𝔤))Fun(Aut(\mathfrak{g})). It is a Hopf algebra and Aut(g)Aut(g) is an affine algebraic group cut out in GL(n)GL(n) by the relations

C ij kM k p=C lm pM i lM j m C^k_{i j} M^p_k = C^p_{l m} M^l_i M^m_j

If we choose another basis we get another embedding of Aut(𝔤)Aut(\mathfrak{g}) into GL(n)GL(n) as it is easy to check. It is instructive to check that the above relations determine a group (the relations for MM are satisfied for the products and inverses) or in Hopf algebra language that if M=𝒪M=\mathcal{O} denotes the generic invertible matrix of taking entries functions, then the above relations determine a Hopf ideal in Fun(GL(n))Fun(GL(n)).

Take now an element X∈𝔤X\in\mathfrak{g}, and f∈Fun(GL(n))f\in Fun(GL(n)) or f∈Fun(Aut(𝔤))f\in Fun(Aut(\mathfrak{g})). Then

ddtf(exp(tad(X))| t=0 \frac{d}{d t} f(exp(t ad(X))|_{t = 0}

determines a number.

Theorem. The above formula extends to a unique (degenerate) Hopf pairing between the enveloping algebra U(𝔤)U(\mathfrak{g}) and the Hopf algebra of regular functions on the automorphism group Fun(Aut(𝔤))Fun(Aut(\mathfrak{g})).

This Hopf pairing may be used to define the structure on the enveloping algebra of a braided commutative monoid in the category of Yetter-Drinfeld modules over the Hopf algebra Fun(Aut(𝔤))Fun(Aut(\mathfrak{g})).

Created on August 16, 2014 at 06:33:00. See the history of this page for a list of all contributions to it.