Algorithms
Growth problems for avoidable words
Theoretical Computer Science
Decision problems for patterns
Journal of Computer and System Sciences
Discrete Applied Mathematics
Handbook of formal languages, vol. 1
Learnability of a subclass of extended pattern languages
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
On a conjecture about finite fixed points of morphisms
Theoretical Computer Science - Combinatorics on words
A non-learnable class of E-pattern languages
Theoretical Computer Science - Algorithmic learning theory(ALT 2002)
Extension of the decidability of the marked PCP to instances with unique blocks
Theoretical Computer Science
Discontinuities in pattern inference
Theoretical Computer Science
Developments from enquiries into the learnability of the pattern languages from positive data
Theoretical Computer Science
Theoretical Computer Science
The unambiguity of segmented morphisms
DLT'07 Proceedings of the 11th international conference on Developments in language theory
Theoretical Computer Science
Unambiguous 1-uniform morphisms
Theoretical Computer Science
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This paper studies the ambiguity of morphisms in free monoids. A morphism @s is said to be ambiguous with respect to a string @a if there exists a morphism @t which differs from @s for a symbol occurring in @a, but nevertheless satisfies @t(@a)=@s(@a); if there is no such @t then @s is called unambiguous. Motivated by the recent initial paper on the ambiguity of morphisms, we introduce the definition of a so-called segmented morphism @s"n, which, for any n@?N, maps every symbol in an infinite alphabet onto a word that consists of n distinct factors in ab^+a, where a and b are different letters. For every n, we consider the set U(@s"n) of those finite strings over an infinite alphabet with respect to which @s"n is unambiguous, and we comprehensively describe its relation to any U(@s"m), mn. Thus, our work features the first approach to a characterisation of sets of strings with respect to which certain fixed morphisms are unambiguous, and it leads to fairly counter-intuitive insights into the relations between such sets. Furthermore, it shows that, among the widely used homogeneous morphisms, most segmented morphisms are optimal in terms of being unambiguous for a preferably large set of strings. Finally, our paper yields several major improvements of crucial techniques previously used for research on the ambiguity of morphisms.