How to compute the exponential map

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SUMMARY

The discussion focuses on computing the exponential map for a general vector within the context of Lie groups, specifically using the Lie group \mathbb{R}^2 - \{(0,0)\}. The exponential map is defined as exp(A) = γ_A(1), where γ_A(t) is the integral curve of the left-invariant vector field induced by vector X. The computation involves determining the induced vector field on G and solving the first-order ordinary differential equation (ODE) that defines its integral curve. The example provided illustrates the steps to compute exp(∂/∂x|_(1,0)) using the group action and the corresponding matrix representation.

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I need help calculating the exponential map of a general vector.

Definition of the exponential map
For a Lie group G with Lie algebra \mathfrak{g}, and a vector X \in \mathfrak{g} \equiv T_eG, let \hat{X} be the corresponding left-invariant vector field. Then let \gamma_X(t) be the maximal integral curve of \hat{X} such that \gamma_X(0)=e. Then the exponential map \mbox{exp}:\mathfrak{g} \to G is \mbox{exp}(A) = \gamma_A(1).
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It can be shown that the exponential map when A is a matrix is just the 'exponential taylor series' in matrix form.

However, how do you actually compute the exponential map for a general vector that isn't a matrix?

Say, for example, we have the Lie group \mathbb{R}^2 - \lbrace (0,0)\rbrace with binary operation (a,b) *(c,d) = (ac-bd,ad+bc), with identity (1,0) and basis \left(\frac{\partial}{\partial x}\bigg|_{(1,0)},\frac{\partial}{\partial y}\bigg|_{(1,0)}\right). What steps are required to compute \mbox{exp}\left(\frac{\partial}{\partial x}\bigg|_{(1,0)}\right) here?
 
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Well, since exp(X) is the time 1 map of integral curve of the left-invariant vector field on G induce by X, then it might be a good idea to figure out first what is this induced vector field on G. If you know the group action explicitely, then this is easy: \hat{X}_g=(\theta_g)_*X, where \theta_g:M\rightarrow M is the map "act by g": \theta_g(p)=g\cdot p. So once you have \hat{X}, it remains to solve the first order ODE which defines its integral curve.
 
Thanks... so for the example I gave, if \theta_{(x,y)}(a,b) = (xa-yb,xb+ya), then
(\theta_{(x,y)})_* = \left[\begin{matrix} x & -y \\ y & x \end{matrix}\right]
so
X_{(x,y)} = \left[\begin{matrix} x & -y \\ y & x \end{matrix}\right]\left[\begin{matrix} 1 \\ 0\end{matrix}\right] = x\frac{\partial}{\partial x}\bigg|_{(1,0)}+y\frac{\partial}{\partial y}\bigg|_{(1,0)}

Then if we let \gamma = (\gamma_1,\gamma_2) be the integral curve we should have:

\gamma' (t) = \gamma_1'(t)\frac{\partial}{\partial x}+\gamma_2'(t)\frac{\partial}{\partial y}\ \ \ =\ \ \ \gamma_1(t)\frac{\partial}{\partial x}+\gamma_2(t)\frac{\partial}{\partial y} = X_{\gamma(t)}

Then equate and solve... is that right?
 
Yep! (except in the second displayed equation, (1,0) should be (x,y))
 
Cheers quasar :)
 

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