How to compute the exponential map

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    Exponential Map
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Discussion Overview

The discussion revolves around the computation of the exponential map in the context of Lie groups and Lie algebras, specifically focusing on how to calculate the exponential map for a general vector rather than just matrices. The participants explore the definition of the exponential map, its relation to integral curves, and the specific case of the Lie group \(\mathbb{R}^2 - \{(0,0)\}\).

Discussion Character

  • Technical explanation
  • Mathematical reasoning
  • Exploratory

Main Points Raised

  • One participant defines the exponential map for a Lie group and poses a question about computing it for a general vector.
  • Another participant suggests that understanding the induced vector field on the group is crucial for computing the exponential map and mentions solving a first-order ODE.
  • A participant provides a specific example of the group action and calculates the induced vector field, leading to the formulation of the integral curve.
  • There is a correction regarding the notation in the equations presented, indicating a need for precision in the expressions used.

Areas of Agreement / Disagreement

The discussion contains multiple viewpoints on the steps required to compute the exponential map, and while there is some agreement on the approach, the specifics of the calculations and definitions remain nuanced and are not fully resolved.

Contextual Notes

Participants rely on specific definitions and assumptions about the group actions and the structure of the Lie group, which may not be universally applicable without further clarification.

Identity
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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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