The limiting distribution $\mu$ of the normalized number of key comparisons required by the Quicksort sorting algorithm is known to be the unique fixed point of a certain distributional transformation $T$ - unique, that is, subject to the constraints of zero mean and finite variance. We show that a distribution is a fixed point of $T$ if and only if it is the convolution of $\mu$ with a Cauchy distribution of arbitrary center and scale. In particular, therefore, $\mu$ is the unique fixed point of $T$ having zero mean.
"A Characterization of the Set of Fixed Points of the Quicksort Transformation." Electron. Commun. Probab. 5 77 - 84, 2000. https://doi.org/10.1214/ECP.v5-1021