There are three conceptually different but equivalent approaches to defining the Lie bracket:

Vector fields as derivations edit

Each smooth vector field ${\displaystyle X:M\rightarrow TM}$  on a manifold M may be regarded as a differential operator acting on smooth functions ${\displaystyle f(p)}$  (where ${\displaystyle p\in M}$  and ${\displaystyle f}$  of class ${\displaystyle C^{\infty }(M)}$ ) when we define ${\displaystyle X(f)}$  to be another function whose value at a point ${\displaystyle p}$  is the directional derivative of f at p in the direction X(p). In this way, each smooth vector field X becomes a derivation on C^∞(M). Furthermore, any derivation on C^∞(M) arises from a unique smooth vector field X.

In general, the commutator ${\displaystyle \delta _{1}\circ \delta _{2}-\delta _{2}\circ \delta _{1}}$  of any two derivations ${\displaystyle \delta _{1}}$  and ${\displaystyle \delta _{2}}$  is again a derivation, where ${\displaystyle \circ }$  denotes composition of operators. This can be used to define the Lie bracket as the vector field corresponding to the commutator derivation:

${\displaystyle [X,Y](f)=X(Y(f))-Y(X(f))\;\;{\text{ for all }}f\in C^{\infty }(M).}$ 

Flows and limits edit

Let ${\displaystyle \Phi _{t}^{X}}$  be the flow associated with the vector field X, and let D denote the tangent map derivative operator. Then the Lie bracket of X and Y at the point x ∈ M can be defined as the Lie derivative:

${\displaystyle [X,Y]_{x}\ =\ ({\mathcal {L}}_{X}Y)_{x}\ :=\ \lim _{t\to 0}{\frac {(\mathrm {D} \Phi _{-t}^{X})Y_{\Phi _{t}^{X}(x)}\,-\,Y_{x}}{t}}\ =\ \left.{\tfrac {\mathrm {d} }{\mathrm {d} t}}\right|_{t=0}(\mathrm {D} \Phi _{-t}^{X})Y_{\Phi _{t}^{X}(x)}.}$ 

This also measures the failure of the flow in the successive directions ${\displaystyle X,Y,-X,-Y}$  to return to the point x:

${\displaystyle [X,Y]_{x}\ =\ \left.{\tfrac {1}{2}}{\tfrac {\mathrm {d} ^{2}}{\mathrm {d} t^{2}}}\right|_{t=0}(\Phi _{-t}^{Y}\circ \Phi _{-t}^{X}\circ \Phi _{t}^{Y}\circ \Phi _{t}^{X})(x)\ =\ \left.{\tfrac {\mathrm {d} }{\mathrm {d} t}}\right|_{t=0}(\Phi _{\!-{\sqrt {t}}}^{Y}\circ \Phi _{\!-{\sqrt {t}}}^{X}\circ \Phi _{\!{\sqrt {t}}}^{Y}\circ \Phi _{\!{\sqrt {t}}}^{X})(x).}$ 

In coordinates edit

Though the above definitions of Lie bracket are intrinsic (independent of the choice of coordinates on the manifold M), in practice one often wants to compute the bracket in terms of a specific coordinate system ${\displaystyle \{x^{i}\}}$ . We write ${\displaystyle \partial _{i}={\tfrac {\partial }{\partial x^{i}}}}$  for the associated local basis of the tangent bundle, so that general vector fields can be written ${\displaystyle \textstyle X=\sum _{i=1}^{n}X^{i}\partial _{i}}$ and ${\displaystyle \textstyle Y=\sum _{i=1}^{n}Y^{i}\partial _{i}}$ for smooth functions ${\displaystyle X^{i},Y^{i}:M\to \mathbb {R} }$ . Then the Lie bracket can be computed as:

${\displaystyle [X,Y]:=\sum _{i=1}^{n}\left(X(Y^{i})-Y(X^{i})\right)\partial _{i}=\sum _{i=1}^{n}\sum _{j=1}^{n}\left(X^{j}\partial _{j}Y^{i}-Y^{j}\partial _{j}X^{i}\right)\partial _{i}.}$ 

If M is (an open subset of) Rⁿ, then the vector fields X and Y can be written as smooth maps of the form ${\displaystyle X:M\to \mathbb {R} ^{n}}$  and ${\displaystyle Y:M\to \mathbb {R} ^{n}}$ , and the Lie bracket ${\displaystyle [X,Y]:M\to \mathbb {R} ^{n}}$  is given by:

${\displaystyle [X,Y]:=J_{Y}X-J_{X}Y}$ 

where ${\displaystyle J_{Y}}$  and ${\displaystyle J_{X}}$  are n × n Jacobian matrices (${\displaystyle \partial _{j}Y^{i}}$  and ${\displaystyle \partial _{j}X^{i}}$  respectively using index notation) multiplying the n × 1 column vectors X and Y.

The Lie bracket of vector fields equips the real vector space ${\displaystyle V=\Gamma (TM)}$  of all vector fields on M (i.e., smooth sections of the tangent bundle ${\displaystyle TM\to M}$ ) with the structure of a Lie algebra, which means [ • , • ] is a map ${\displaystyle V\times V\to V}$  with:

• R-bilinearity
• Anti-symmetry, ${\displaystyle [X,Y]=-[Y,X]}$ 
• Jacobi identity, ${\displaystyle [X,[Y,Z]]+[Z,[X,Y]]+[Y,[Z,X]]=0.}$ 

An immediate consequence of the second property is that ${\displaystyle [X,X]=0}$  for any ${\displaystyle X}$ .

Furthermore, there is a "product rule" for Lie brackets. Given a smooth (scalar-valued) function f on M and a vector field Y on M, we get a new vector field fY by multiplying the vector Y_x by the scalar f(x) at each point x ∈ M. Then:

• ${\displaystyle [X,fY]\ =\ X\!(f)\,Y\,+\,f\,[X,Y],}$ 

where we multiply the scalar function X(f) with the vector field Y, and the scalar function f with the vector field [X, Y]. This turns the vector fields with the Lie bracket into a Lie algebroid.

Vanishing of the Lie bracket of X and Y means that following the flows in these directions defines a surface embedded in M, with X and Y as coordinate vector fields:

Theorem: ${\displaystyle [X,Y]=0\,}$  iff the flows of X and Y commute locally, meaning ${\displaystyle (\Phi _{t}^{Y}\Phi _{s}^{X})(x)=(\Phi _{s}^{X}\,\Phi _{t}^{Y})(x)}$  for all x ∈ M and sufficiently small s, t.

This is a special case of the Frobenius integrability theorem.

For a Lie group G, the corresponding Lie algebra ${\displaystyle {\mathfrak {g}}}$  is the tangent space at the identity ${\displaystyle T_{e}G}$ , which can be identified with the vector space of left invariant vector fields on G. The Lie bracket of two left invariant vector fields is also left invariant, which defines the Jacobi–Lie bracket operation ${\displaystyle [\,\cdot \,,\,\cdot \,]:{\mathfrak {g}}\times {\mathfrak {g}}\to {\mathfrak {g}}}$ .

For a matrix Lie group, whose elements are matrices ${\displaystyle g\in G\subset M_{n\times n}(\mathbb {R} )}$ , each tangent space can be represented as matrices: ${\displaystyle T_{g}G=g\cdot T_{I}G\subset M_{n\times n}(\mathbb {R} )}$ , where ${\displaystyle \cdot }$  means matrix multiplication and I is the identity matrix. The invariant vector field corresponding to ${\displaystyle X\in {\mathfrak {g}}=T_{I}G}$  is given by ${\displaystyle X_{g}=g\cdot X\in T_{g}G}$ , and a computation shows the Lie bracket on ${\displaystyle {\mathfrak {g}}}$  corresponds to the usual commutator of matrices:

${\displaystyle [X,Y]\ =\ X\cdot Y-Y\cdot X.}$ 

As mentioned above, the Lie derivative can be seen as a generalization of the Lie bracket. Another generalization of the Lie bracket (to vector-valued differential forms) is the Frölicher–Nijenhuis bracket.

• "Lie bracket", Encyclopedia of Mathematics, EMS Press, 2001 [1994]
• Isaiah, Pantelis (2009), "Controlled parking [Ask the experts]", IEEE Control Systems Magazine, 29 (3): 17–21, 132, doi:10.1109/MCS.2009.932394, S2CID 42908664
• Khalil, H.K. (2002), Nonlinear Systems (3rd ed.), Upper Saddle River, NJ: Prentice Hall, ISBN 0-13-067389-7
• Kolář, I., Michor, P., and Slovák, J. (1993), Natural operations in differential geometry, Berlin, Heidelberg, New York: Springer-Verlag, ISBN 3-540-56235-4{{citation}}: CS1 maint: multiple names: authors list (link) Extensive discussion of Lie brackets, and the general theory of Lie derivatives.
• Lang, S. (1995), Differential and Riemannian manifolds, Springer-Verlag, ISBN 978-0-387-94338-1 For generalizations to infinite dimensions.
• Warner, Frank (1983) [1971], Foundations of differentiable manifolds and Lie groups, New York-Berlin: Springer-Verlag, ISBN 0-387-90894-3