The Parikh matrix mapping allows us to describe words using matrices. Although compact, this description comes with a level of ambiguity since a single matrix may describe multiple words. This work looks at how considering the Parikh matrices of various transformations of a given word can decrease that ambiguity. More specifically, for any word, we study the Parikh matrix of its Lyndon conjugate as well as that of its projection to a smaller alphabet. Our results demonstrate that ambiguity can often be reduced using these concepts, and we give conditions on when they succeed.
History
School
Science
Department
Computer Science
Published in
Language and Automata Theory and Applications (LATA 2020)
Pages
397 - 411
Source
14th International Conference on Language and Automata Theory and Applications (LATA 2020)