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Does there exist a matrix $A \in \Bbb R^{2 \times 2}$ such that the following holds?

$$e^A = \begin{pmatrix}-4 && 0 \\ 0 && -1\end{pmatrix}$$


I know that for a Jordan block

$$J=\begin{pmatrix} \lambda&1&0&0&\dots\\ 0&\lambda&1&0&\dots\\ 0&0&\lambda&1&\dots\\ 0&0&0&\lambda&\dots\\ &&\vdots&&\ddots \end{pmatrix}$$

$$e^{Jt}=\begin{pmatrix} 1&\frac{t}{1!}&\frac{t^2}{2!}&\frac{t^3}{3!}&\dots\\ 0&1&\frac{t}{1!}&\frac{t^2}{2!}&\dots\\ 0&0&1&\frac{t}{1!}&\dots\\ 0&0&0&1&\dots\\ \vdots&\vdots&\vdots&\vdots&\ddots \end{pmatrix}$$

And using the Jordan normal form of a matrix $M:$ $M=TJT^{-1}$ it holds:

$$e^{Mt}=Te^{Jt}T^{-1}$$

I think that such a matrix $A$ does not exist because the eigenvalues are negative and $\ln (-4)$, $\ln(-1)$ is undefined but I don't know how properly prove that such a matrix doesn't exist.

1 Answers1

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If $\lambda$ is an eigenvalue of $A$, then $e^{\lambda}$ is an eigenvalue of $e^A$. So, since $e^A$ has eigenvalues $-1,-4$, $A$ has one eigenvalue satisfying $e^{\lambda_1} = -1$ and another satisfying $e^{\lambda_2} = -4$.

However, the strictly complex eigenvalues of any real matrix must come in conjugate pairs. That is, if $\lambda$ is a non-real eigenvalue of $A$, then the conjugate $\overline{\lambda}$ must also be an eigenvalue. This tells us that $A$ cannot be real, since there is no complex $\lambda$ satisfying $\exp(\lambda) = -1$ and $\exp(\bar \lambda) = -4$.

Ben Grossmann
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