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Let $A$ be matrix whose eigenvalues all have negative real parts. Define $Q=\int^{\infty}_0 B(t)dt$ where $B(t)=e^{A^Tt}e^{At}$. Prove that $Q$ is symmetric and positive definite.

Notes: This question is related to the corresponding lyapunov equation $A^TQ+QA=-I$. First we know that $B(t)$ is symmetric and positive definite. As $B(t)^T=B(t)$ and $x^TB(t)x>0$. We derive the equation lyapunov equation as follows \begin{align} \lim_{\tau \to \infty} \int^{\tau}_0\frac{d B(t)}{dt} &=\lim_{\tau \to \infty} B(\tau) -I\\ &= \lim_{\tau \to \infty}( A^T\int^{\tau}_0B(t)dt+\int^{\tau}_0B(t)dt\ A )\\ &=A^TQ+QA\\ \end{align} However I am confused on how to use these facts to show that $Q$ is symmetric and positive definite.

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The key is to note that any (pointwise) constant linear transformation commutes with integration. For example, we can show that $Q$ is symmetric since $$ Q^T = \left[\int B(t)\right]^T = \int[B(t)]^T = \int[e^{At}]^T[e^{A^Tt}]^T = \int e^{A^Tt}e^{At} = \int B(t) = Q $$ similarly, show that $x^TQx > 0$ so that $Q$ is positive definite. Note in particular that $$ x^TB(t)x = \|e^{At}x\|^2 $$ Moreover: if $x \neq 0$, $t \mapsto \|e^{At}x\|^2$ is necessarily a continuous, positive-valued function.

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    I did not know that linear transformations commute with integration. This make the problem much easier.2017-02-07
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    @AzJ If that's the case, you should consider trying to *prove* that this is the case. Not necessarily for this particular assignment, but at some point.2017-02-07