FLDSSCJul 7

Spectral and combinatorial methods for efficiently computing the rank of unambiguous finite automata

arXiv:2511.097036.3h-index: 6
Predicted impact top 60% in FL · last 90 daysOriginality Incremental advance
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This work provides the first efficient algorithms for a fundamental problem in automata theory, with implications for understanding the structure of unambiguous automata and related combinatorial conjectures.

The paper presents efficient algorithms for computing the minimum rank of a matrix in a monoid generated by zero-one matrices, which corresponds to unambiguous finite automata. The main results include an NC algorithm and a combinatorial algorithm both running in O(mn^4) time, with improved O(n^3 + mn^2) time for total DFAs.

A zero-one matrix is a matrix with entries from $\{0, 1\}$. We study monoids containing only such matrices. A finite set of zero-one matrices generating such a monoid can be seen as the matrix representation of an unambiguous finite automaton, an important generalisation of deterministic finite automata which shares many of their good properties. Let $\mathcal{A}$ be a finite set of $n \times n$ zero-one matrices generating a monoid of zero-one matrices, and $m$ be the cardinality of $\mathcal{A}$. We study the computational complexity of computing the minimum rank of a matrix in the monoid generated by $\mathcal{A}$. By using linear-algebraic techniques, we show that this problem is in $\textsf{NC}$ and can be solved in $\mathcal{O}(mn^4)$ time and $\mathcal{O}(n^2)$ space. We also provide a combinatorial algorithm finding a matrix of minimum rank in $\mathcal{O}(mn^4)$ time and $\mathcal{O}(n^3)$ space. As a byproduct, we show a very weak version of a generalisation of the Černý conjecture: there always exists a straight line program of size $\mathcal{O}(n^2)$ describing a product resulting in a matrix of minimum rank. For the special case corresponding to total DFAs (that is, for the case where all matrices have exactly one 1 in each row), the minimum rank is the size of the smallest image of the set of all states under the action of a word. Our combinatorial algorithm finds a matrix of minimum rank in time $\mathcal{O}(n^3 + mn^2)$ in this case.

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