Papers
Topics
Authors
Recent
Search
2000 character limit reached

Unrestricted State Complexity of Binary Operations on Regular and Ideal Languages

Published 14 Sep 2016 in cs.FL | (1609.04439v3)

Abstract: We study the state complexity of binary operations on regular languages over different alphabets. It is known that if $L&#39;_m$ and LnL_n are languages of state complexities mm and nn, respectively, and restricted to the same alphabet, the state complexity of any binary boolean operation on $L&#39;_m$ and LnL_n is mnmn, and that of product (concatenation) is m2<sup>n</sup>−2<sup>n−1m 2<sup>n</sup> - 2<sup>{n-1}. In contrast to this, we show that if $L&#39;_m$ and LnL_n are over different alphabets, the state complexity of union and symmetric difference is (m+1)(n+1)(m+1)(n+1), that of difference is mn+mmn+m, that of intersection is mnmn, and that of product is m2<sup>n+2<sup>n−1m2<sup>n+2<sup>{n-1}. We also study unrestricted complexity of binary operations in the classes of regular right, left, and two-sided ideals, and derive tight upper bounds. The bounds for product of the unrestricted cases (with the bounds for the restricted cases in parentheses) are as follows: right ideals m+2<sup>n−2+2<sup>n−1m+2<sup>{n-2}+2<sup>{n-1} (m+2<sup>n−2m+2<sup>{n-2}); left ideals mn+m+nmn+m+n (m+n−1m+n-1); two-sided ideals m+2nm+2n (m+n−1m+n-1). The state complexities of boolean operations on all three types of ideals are the same as those of arbitrary regular languages, whereas that is not the case if the alphabets of the arguments are the same. Finally, we update the known results about most complex regular, right-ideal, left-ideal, and two-sided-ideal languages to include the unrestricted cases.

Citations (11)

Summary

No one has generated a summary of this paper yet.

Paper to Video (Beta)

No one has generated a video about this paper yet.

Whiteboard

No one has generated a whiteboard explanation for this paper yet.

Open Problems

We haven't generated a list of open problems mentioned in this paper yet.

Continue Learning

We haven't generated follow-up questions for this paper yet.