The operation is the cornerstone of Lie algebras, defining their structure and behavior. It's a binary operation that captures the non-commutativity of elements and satisfies key properties like antisymmetry, , and the .
Understanding Lie brackets is crucial for grasping the deeper aspects of Lie algebras. They play a vital role in physics, representing commutators of observables, and in mathematics, where they're essential for studying symmetries and conservation laws in various systems.
Lie bracket operation and Lie algebras
Definition and properties of the Lie bracket
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The Lie bracket is a binary operation that takes two elements of a Lie algebra and returns another element of the Lie algebra
Denoted as [X,Y] for elements X and Y
The Lie bracket operation satisfies certain properties that define the structure of a Lie algebra
Antisymmetry: [X,Y]=−[Y,X]
Bilinearity: [aX,Y]=a[X,Y], [X,aY]=a[X,Y], [X+Y,Z]=[X,Z]+[Y,Z], [X,Y+Z]=[X,Y]+[X,Z] for scalar a
Jacobi identity: [X,[Y,Z]]+[Y,[Z,X]]+[Z,[X,Y]]=0
The Lie bracket captures the non-commutativity of the elements in a Lie algebra
[X,Y] is generally not equal to [Y,X]
Measures the extent to which the elements fail to commute with each other
Interpretation and applications of the Lie bracket
In physics, the Lie bracket often represents the commutator of two observables
Quantifies their incompatibility or the presence of quantum uncertainty
Example: the commutator of position and momentum operators in
The Lie bracket plays a crucial role in the study of symmetries and conservation laws
Lie algebras are associated with continuous (Lie groups)
The Lie bracket of the algebra elements corresponds to the infinitesimal generators of the symmetry transformations
Example: the angular momentum operators in quantum mechanics form a Lie algebra under the , related to rotational symmetry
Antisymmetry and bilinearity of Lie brackets
Proving the antisymmetry property
For any elements X and Y in a Lie algebra, [X,Y]=−[Y,X]
Proof:
By definition of the Lie bracket and properties of the underlying vector space
[X,Y]=XY−YX (for matrix Lie algebras)
[Y,X]=YX−XY=−(XY−YX)=−[X,Y]
Proving the bilinearity properties
The Lie bracket is linear in both arguments
For any elements X, Y, and Z in a Lie algebra and any scalar a:
Linearity in the first argument: [aX,Y]=a[X,Y]
Linearity in the second argument: [X,aY]=a[X,Y]
Additivity in the first argument: [X+Y,Z]=[X,Z]+[Y,Z]
Additivity in the second argument: [X,Y+Z]=[X,Y]+[X,Z]
Proof:
Using the definition of the Lie bracket, properties of the underlying vector space, and axioms of a Lie algebra
Example for linearity in the first argument: [aX,Y]=(aX)Y−Y(aX)=a(XY)−a(YX)=a(XY−YX)=a[X,Y]
Jacobi identity for Lie brackets
Statement and significance of the Jacobi identity
The Jacobi identity is a fundamental property of Lie brackets
For any elements X, Y, and Z in a Lie algebra: [X,[Y,Z]]+[Y,[Z,X]]+[Z,[X,Y]]=0
The Jacobi identity provides a relation between nested Lie brackets
Allows simplification and manipulation of Lie bracket expressions
Essential for proving various theorems in the theory of Lie algebras
Applying the Jacobi identity to Lie bracket expressions
To apply the Jacobi identity, cyclically permute the elements within the nested Lie brackets
Use the antisymmetry property to rearrange terms
Example: [X,[Y,Z]]=−[Y,[Z,X]]−[Z,[X,Y]]
The Jacobi identity can be used to prove the existence of Lie algebra homomorphisms
A linear map ϕ:g→h between Lie algebras is a homomorphism if ϕ([X,Y])=[ϕ(X),ϕ(Y)] for all X,Y∈g
The Jacobi identity ensures that the homomorphism condition is satisfied
The Jacobi identity is crucial for the classification of low-dimensional Lie algebras
Helps determine the possible structures and isomorphism classes of Lie algebras in dimensions 2 and 3
Constructing Lie algebras
Defining a Lie algebra from a vector space and bracket operation
A Lie algebra can be constructed by defining:
A vector space V over a field F (usually the real or complex numbers)
A Lie bracket operation [⋅,⋅] that satisfies the required properties (antisymmetry, bilinearity, and the Jacobi identity)
Given a vector space, define a Lie bracket operation by specifying its action on the basis elements
Extend the operation to all elements using bilinearity
Ensure that the defined operation satisfies the Lie algebra axioms
Examples of common Lie algebras
The space of n×n matrices with the commutator bracket [A,B]=AB−BA
The Lie algebra of the general linear group GL(n,F)
Denoted as gl(n,F)
The space of vector fields on a manifold with the Lie bracket defined as the Lie derivative
For vector fields X and Y, the Lie bracket [X,Y] is the Lie derivative of Y with respect to X
The Lie algebra of the diffeomorphism group of the manifold
The space of skew-symmetric n×n matrices with the commutator bracket
The Lie algebra of the special orthogonal group SO(n)
Denoted as so(n)
Verifying the Lie algebra axioms
To verify that a given vector space and bracket operation form a Lie algebra, check:
Antisymmetry: [X,Y]=−[Y,X] for all elements X,Y in the vector space
Bilinearity: The bracket operation is linear in both arguments
Jacobi identity: [X,[Y,Z]]+[Y,[Z,X]]+[Z,[X,Y]]=0 for all elements X,Y,Z in the vector space
Constructing Lie algebras is essential for studying the properties and representations of Lie groups
Every has an associated Lie algebra that captures its infinitesimal structure
The Lie algebra encodes information about the tangent space at the identity element of the Lie group