Discrete Mathematics & Theoretical Computer Science |

When considering binary strings, it's natural to wonder how many distinct subsequences might exist in a given string. Given that there is an existing algorithm which provides a straightforward way to compute the number of distinct subsequences in a fixed string, we might next be interested in the expected number of distinct subsequences in random strings. This expected value is already known for random binary strings where each letter in the string is, independently, equally likely to be a 1 or a 0. We generalize this result to random strings where the letter 1 appears independently with probability $\alpha \in [0,1]$. Also, we make some progress in the case of random strings from an arbitrary alphabet as well as when the string is generated by a two-state Markov chain.

Source: arXiv.org:1704.08661

Volume: Vol. 19 no. 2, Permutation Patterns 2016

Section: Permutation Patterns

Published on: June 26, 2018

Accepted on: June 1, 2018

Submitted on: April 28, 2017

Keywords: Mathematics - Combinatorics,05D40, 60C05

Funding:

- Source : OpenAIRE Graph
*REU Site: Combinatorics and Probability*; Funder: National Science Foundation; Code: 1263009

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