A problem on matrix exponentials: ${{e}^{AB}}$ and ${{({{e}^{A}})}^{B}}$

guarcien

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Does anyone know if there is a link between these two expressions,below, where A and B are square and commutable matrices?

${{e}^{AB}}$ and ${{({{e}^{A}})}^{B}}$
 
Does anyone know if there is a link between these two expressions,below, where A and B are square and commutable matrices?

${{e}^{AB}}$ and ${{({{e}^{A}})}^{B}}$
The meaning of the form eXe^{X}, where X is a square matrix, is given by the Taylor expansion of the exponential, similar to the series for exe^x:
eXn=01n!Xn\displaystyle e^{X} \equiv \sum_{n = 0}^{ \infty } \dfrac{1}{n!} X^n

In order to discuss (eA)B\left ( e^A \right ) ^B we will need a Taylor series to represent this. But this approach is severely compromised by the fact that A and B may not commute. For example, in general eAeBeA+Be^A e^B \neq e^{A + B} unless A and B commute. I know of no way to approach this problem.

-Dan
 
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