Let $A\in\mathbb{R}^{n\times n}$ be a matrix with eigenvalues having (strictly) negative real part. Let $X\in\mathbb{R}^{n\times n}$, $X\succ 0$ be a positive definite matrix and let $P\succ 0$ be the (unique) solution of the following Lyapunov matrix equation $$\tag{1}\label{eq1} AP+PA^\top = - X. $$

My question. Let $\{X_n\}_{n\ge 0}$, $X_n\succ 0$, be a sequence of positive definite matrices, and let $\{P_n\}_{n\ge 0}$, $P_n\succ 0$, be the corresponding sequence of solutions of \eqref{eq1}. Assume that $\lim_{n\to \infty} X_n=\bar{X}\succeq 0$ and $\lim_{n\to \infty} P_n=\bar{P}\succeq 0$ is singular. I'm wondering whether $\lim_{n\to \infty} P_n^{-1/2}X_n P_n^{-1/2}$ always converges to a finite matrix.

A few remarks are in order.

1. If $\bar{P}$ is singular, then, $\bar{X}$ must be singular as well.
2. If $A=\alpha I$, $\alpha<0$, then it is quite easy to see that $\lim_{n\to \infty} P_n^{-1/2}X_n P_n^{-1/2}$ converges to a finite matrix.
3. By pre- and post-multiplying \eqref{eq1} by $P^{-1/2}$, it follows that if $\lim_{n\to \infty} P_n^{-1/2}A P_n^{1/2}$ is finite, then $\lim_{n\to \infty} P_n^{-1/2}X_n P_n^{-1/2}$ is finite as well.