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Lie Algebra Representation


A Lie algebra representation of a Lie algebra g is a linear transformation

 psi:g->M(V),
(1)

where M(V) is the set of all linear transformations of a vector space V. In particular, if V=R^n, then M(V) is the set of n×n square matrices. The map psi is required to be a map of Lie algebras so that

 psi([A,B])=psi(A)psi(B)-psi(B)psi(A)
(2)

for all A,B in g. Note that the expression AB only makes sense as a matrix product in a representation. For example, if A and B are antisymmetric matrices, then AB-BA is skew-symmetric, but AB may not be antisymmetric.

The possible finite-dimensional irreducible representations of finite-dimensional complex Lie algebras are determined by the classification of the semisimple Lie algebras. Any finite-dimensional irreducible representation V of a complex Lie algebra g is the vector space tensor product V=V_0 tensor L, where V_0 is an irreducible representation of the quotient g/Rad(g) of the Lie algebra g and its Lie algebra radical (the largest solvable subspace invariant under the adjoint representation), and L is a one-dimensional Lie algebra representation.

A Lie algebra may be associated with a Lie group, in which case it reflects the local structure of the Lie group. A smooth group representation rho of a Lie group G on a finite-dimensional vector space V induces a Lie algebra representation psi of its Lie algebra g by taking the differential at the identity element. Conversely, if G is connected and simply connected, any Lie algebra representation psi of g on a finite-dimensional vector space V integrates uniquely to a smooth group representation rho of G. These representations are related by the exponential map of G and the matrix exponential:

 rho(expX)=exp(psi(X)).
(3)

See also

Group Representation, Irreducible Representation, Lie Algebra, Lie Group, Matrix Exponential, Simple Lie Algebra, Vector Space

Portions of this entry contributed by Todd Rowland

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Cite this as:

Weisstein, Eric W., with contributions by Todd Rowland. "Lie Algebra Representation." From MathWorld--A Wolfram Resource. https://mathworld.wolfram.com/LieAlgebraRepresentation.html

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