Analysis of the average depth in a suffix tree under a Markov model
Discrete mathematics & theoretical computer science, DMTCS Proceedings vol. AD, International Conference on Analysis of Algorithms, DMTCS Proceedings vol. AD, International Conference on Analysis of Algorithms (2005).

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In this report, we prove that under a Markovian model of order one, the average depth of suffix trees of index n is asymptotically similar to the average depth of tries (a.k.a. digital trees) built on n independent strings. This leads to an asymptotic behavior of $(\log{n})/h + C$ for the average of the depth of the suffix tree, where $h$ is the entropy of the Markov model and $C$ is constant. Our proof compares the generating functions for the average depth in tries and in suffix trees; the difference between these generating functions is shown to be asymptotically small. We conclude by using the asymptotic behavior of the average depth in a trie under the Markov model found by Jacquet and Szpankowski ([JaSz91]).
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     author = {Fayolle, Julien and Ward, Mark Daniel},
     title = {Analysis of the average depth in a suffix tree under a {Markov} model},
     journal = {Discrete mathematics & theoretical computer science},
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Fayolle, Julien; Ward, Mark Daniel. Analysis of the average depth in a suffix tree under a Markov model. Discrete mathematics & theoretical computer science, DMTCS Proceedings vol. AD, International Conference on Analysis of Algorithms, DMTCS Proceedings vol. AD, International Conference on Analysis of Algorithms (2005). doi : 10.46298/dmtcs.3371. http://geodesic.mathdoc.fr/articles/10.46298/dmtcs.3371/

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