A note on three-dimensional finite automata

This paper investigates the relationships between the accepting powers of three-dimensional six-way finite automata (3-FA's) and three-dimensional five-way Turing machines (5WTM's), where the input tapes of these automata are restricted to cubic ones. A 3-FA (5WTM) can be considered as a natural extension of the two-dimensional four-way finite automaton (two-dimensional three-way Turing machine) to three dimensions. The main results are: (1) n²logn (n³) space is necessary and sufficient for deterministic 5WTM's to simulate deterministic (nondeterministic) 3-FA's; (2) n² (n²) space is necessary and sufficient for nondeterministic 5WTM's to simulate deterministic (nondeterministic) 3-FA's.     

Two-way unary automata versus logarithmic space

We show that if L=NL (the classical logarithmic space classes), then each unary 2nfa (a two-way nondeterministic finite automaton) can be converted into an equivalent 2dfa (a deterministic two-way automaton), keeping the number of states polynomial. (Unlike other results of this kind, here the deterministic simulation is valid for inputs of all lengths, not only polynomially long ones.) This shows a connection between the standard logarithmic space complexity and the state complexity of two-way unary automata: it indicates that L could be separated from NL by proving a superpolynomial gap, in the number of states, for the conversion from unary 2nfas to 2dfa. Moreover, without any unproven assumptions, we show that each n-state unary 2nfa can be simulated by an equivalent 2ufa (an unambiguous 2nfa) with a polynomial number of states.     

Complementing two-way finite automata

We study the relationship between the sizes of two-way finite automata accepting a language and its complement. In the deterministic case, for a given automaton (2dfa) with n states, we build an automaton accepting the complement with at most 4n states, independently of the size of the input alphabet. Actually, we show a stronger result, by presenting an equivalent 4n-state 2dfa that always halts. For the nondeterministic case, using a variant of inductive counting, we show that the complement of a unary language, accepted by an n-state two-way automaton (2nfa), can be accepted by an O(n⁸)-state 2nfa. Here we also make 2nfa’s halting. This allows the simulation of unary 2nfa’s by probabilistic Las Vegas two-way automata with O(n⁸) states.     

Multihead two-way probabilistic finite automata

We present properties of multihead two-way probabilistic finite automata that parallel those of their deterministic and nondeterministic counterparts. We define multihead probabilistic finite automata withlogspace constructible transition probabilities, and we describe a technique to simulate these automata by standard logspace probabilistic Turing machines. Next, we represent logspace probabilistic complexity classes as proper hierarchies based on corresponding multihead two-way probabilistic finite automata, and we show their (deterministic logspace) reducibility to the second levels of these hierarchies. We obtain a simple formula for the maximum inherent bandwidth of the configuration transition matrices associated with thek-head probabilistic finite automata processing a length-n input string. (The inherent bandwidth of the configuration transition matrices associated with an automaton processing a length-n input string is the smallest bandwidth we can get by changing the enumeration order of the automaton’s configurations.) Partially based on this relation, we find an apparently easier logspace complete problem forPL (the class of languages recognized by logspace unbounded-error probabilistic Turing machines), and we discuss possibilities for a space-efficient deterministic simulation of probabilistic automata.     

Fooling a two-way nondeterministic multihead automaton with reversal number restriction

Summary We define a language L and show that it can be recognized by no two-way nondeterministic sensing multihead finite automaton with n ^a reversal bound, where n is the length of input words, and 1/3>a>0 is a real number. Since L is recognized by a two-way deterministic two-head finite automaton working in linear time we obtain, for two-way finite automata, that time, reading heads, and nondeterminism as resources cannot compensate for the reversal number restriction.This work was supported as a part of the SPZV I-1-5/8 grant     

Magic numbers in the state hierarchy of finite automata

A number d is magic for n, if there is no regular language for which an optimal nondeterministic finite state automaton (nfa) uses exactly n states and, at the same time, the optimal deterministic finite state automaton (dfa) uses exactly d states. We show that, in the case of unary regular languages, the state hierarchy of dfa’s, for the family of languages accepted by n-state nfa’s, is not contiguous. There are some “holes” in the hierarchy, i.e., magic numbers in between values that are not magic. This solves, for automata with a single letter input alphabet, an open problem of existence of magic numbers. Actually, most of the numbers is magic in the unary case. As an additional bonus, we also get a new universal lower bound for the conversion of unary d-state dfa’s into equivalent nfa’s: nondeterminism does not reduce the number of states below log² d, not even in the best case.     

Morphismes et bimorphismes d'arbres

For every pair of positive integers n and p, there is a language accepted by a real-time deterministic pushdown automaton with n states and p stack symbols and size O(np), for which every context-free grammar needs at least n²p+1 nonterminals if n>1 (or p non-terminals if n = 1). It follows that there are context-free languages which can be recognized by pushdown automata of size O(np), but which cannot be generated by context-free grammars of size smaller than O(n²p); and that the standard construction for converting a pushdown automaton to a context-free grammar is optimal in the sense that it infinitely often produces grammars with the fewest number of nonterminals possible.     

A tighter analysis of Piterman's Büchi determinization

Determinization and complementation are two fundamental problems in automata theory. Very recently, Piterman improved Safra's determinization and, presented a new construction which produces parity automata with a smaller size. We give a tighter analysis on that determinization construction and show that the number of states of the resulting deterministic automaton is bounded by 2n²(n!) instead of 2n!nn.     

The complexity of restricted regular expressions and the synthesis problem for finite automata

It is known that for every restricted regular expression of length n there exists a nondeterministic finite automaton with n + 1 states giving rise to the upper bound of 2ⁿ + 1 on the number of states of the corresponding reduced automaton. In this note we show that this bound can be attained for all n ? 2, i.e., the upper bound 2ⁿ + 1 is optimal. An observation is then made about the synthesis problem for nondeterministic finite automata.     

The complexity of monadic recursion schemes: exponential time bounds

We study the computational complexity of decision problems for the class $\text{M}$ of monadic recursion schemes. By the “executability problem” for a class 't of monadic recursion schemes, we mean the problem of determining whether a given defined function symbol of a given scheme in .'t can be called during at least one computation. The executability problem for a class $\text{I}$ of very simple monadic recursion schemes is shown to require deterministic exponential time. Using arguments about executability problems and about the class $\text{I}$, a number of decision problems for. $\text{M}$ and for several of. $\text{M}$'s subclasses are shown to require deterministic exponential time. Deterministic exponential time upper bounds are also presented for several of these decision problems.     

Succinct representation of regular languages by boolean automata

Boolean automata are a generalization of finite automata in the sense that the ‘next state’, i.e. the result of the transition function given a state and a letter, is not just a single state (deterministic automata) or a union of states (nondeterministic automata) but a boolean function of states. Boolean automata accept precisely regular languages; furthermore they correspond in a natural way to certain language equations as well as to sequential networks. We investigate the succinctness of representing regular languages by boolean automata. In particular, we show that for every deterministic automaton A with m states there exists a boolean automaton with [log₂m] states which accepts the reverse of the language accepted by A (m≥1). We also show that for every n≥1 there exists a boolean automation with n states such that the smallest deterministic automaton accepting the same language has 2⁽²ⁿ⁾ states; moreover this holds for an alphabet with only two letters.     

Cellular automata with limited inter-cell bandwidth

A d-dimensional cellular automaton is a d-dimensional grid of interconnected interacting finite automata. There are models with parallel and sequential input modes. In the latter case, the distinguished automaton at the origin, the communication cell, is connected to the outside world and fetches the input sequentially. Often in the literature this model is referred to as an iterative array. In this paper, d-dimensional iterative arrays and one-dimensional cellular automata are investigated which operate in real and linear time and whose inter-cell communication bandwidth is restricted to some constant number of different messages independent of the number of states. It is known that even one-dimensional two-message iterative arrays accept rather complicated languages such as {a^p∣p prime} or {a²ⁿ∣n∈N} (H. Umeo, N. Kamikawa, Real-time generation of primes by a 1-bit-communication cellular automaton, Fund. Inform. 58 (2003) 421-435). Here, the computational capacity of d-dimensional iterative arrays with restricted communication is investigated and an infinite two-dimensional hierarchy with respect to dimensions and messages is shown. Furthermore, the computational capacity of the one-dimensional devices in question is compared with the power of two-way and one-way cellular automata with restricted communication. It turns out that the relations between iterative arrays and cellular automata are quite different from the relations in the unrestricted case. Additionally, an infinite strict message hierarchy for real-time two-way cellular automata is obtained as well as a very dense time hierarchy for k-message two-way cellular automata. Finally, the closure properties of one-dimensional iterative arrays with restricted communication are investigated and differences to the unrestricted case are shown as well.     

String matching with simple devices

With the help of a general simulation technique of deterministic finite two-way multi-head automata by automata with blind heads we show O(n²/logn) to be an upper time bound on string matching. This result is tight by a previously known lower bound.     

A strong pumping lemma for context-free languages

A context-free language is shown to be equivalent to a set of sentences describable by sequences of strings related by finite substitutions on finite domains, and vice-versa. As a result, a necessary and sufficient version of the Classic Pumping Lemma is established. This result provides a guaranteed method of proving that a language is not context-free when such is the case. An example is given of a language which neither the Classic Pumping Lemma nor Parikh's Theorem can show to be non-context-free, although Ogden's Lemma can. The main result also establishes {aⁿba^mn} as a language which is not in the Boolean closure of deterministic context-free languages.     

The number of DFAs for a given spanning tree

In the last few decades, several techniques to randomly generate a deterministic finite automaton have been developed. These techniques have implications in the enumeration and random generation of automata of size n. One of the ways to generate a finite automaton is to generate a random tree and to complete it to a deterministic finite automaton, assuming that the tree will be the automaton’s breadth-first spanning tree. In this paper we explore further this method, and the string representation of a tree, and use it to counting the number of automata having a tree as a breadth-first spanning subtrees. We introduce the notions of characteristic and difference sequence of a tree, and define the weight of a tree. We also present a recursive formula for this quantity in terms of the “derivative” of a tree. Finally, we analyze the implications of this formula in terms of exploring trees with the largest and smallest number of automata in the span of the tree and present simple applications for finding densities of subsets of DFAs.     

Two-way automata and length-preserving homomorphisms

Closure underlength-preserving homomorphisms is interesting because of its similarity tonondeterminism. We give a characterization of NP in terms of length-preserving homomorphisms and present related complexity results. However, we mostly study the case of two-way finite automata: Let l.p.hom[n state 2DFA] denote the class of languages that are length-preserving homomorphic images of languages recognized byn-state 2DFAs. We give a machine characterization of this class. We show that any language accepted by ann-state two-wayalternating finite automaton (2AFA), or by a l-pebble 2NFA, belongs to l.p.hom[O(n ²) state 2DFA]. Moreover, there are languages in l.p.hom[n state 2DFA] whose smallest accepting 2NFA has at leastc ⁿ states (for some constantc > 1). So for two-way finite automata, the closure under length-preserving homomorphisms is much more powerful than nondeterminism. We disprove two conjectures (of Meyer and Fischer, and of Chrobak) about the state-complexity of unary languages. Finally, we show that the equivalence problems for 2AFAs (resp. 1-pebble 2NFAs) are in PSPACE, and that the equivalence problem for 1-pebble 2AFAs is in ExpSPACE (thus answering a question of Jiang and Ravikumar); it was known that these problems are hard in these two classes. We also give a new proof that alternating 1-pebble machines recognize only regular languages (which was first proved by Goralčíket al.). This research was supported in part by N.S.F. Grant DMS 8702019.     

Three-way two-dimensional finite automata with rotated inputs

This paper introduces a new type of two-dimensional automaton called a three-way two-dimensional finite automaton with rotated inputs, and investigates a relationship among the accepting powers of these new automata, two-dimensional finite automata, and tape-bounded three-way two-dimensional Turing machines. We show, for example, that m log m space (m² space) is necessary and sufficient for deterministic three-way two-dimensional Turing machines to simulate deterministic (nondeterministic) three-way two-dimensional finite automata with rotated inputs.     

On the Power of Las Vegas for One-Way Communication Complexity, OBDDs, and Finite Automata

The study of the computational power of randomized computations is one of the central tasks of complexity theory. The main goal of this paper is the comparison of the power of Las Vegas computation and deterministic respectively nondeterministic computation. We investigate the power of Las Vegas computation for the complexity measures of one-way communication, ordered binary decision diagrams, and finite automata.(i) For the one-way communication complexity of two-party protocols we show that Las Vegas communication can save at most one half of the deterministic one-way communication complexity. We also present a language for which this gap is tight.(ii) The result (i) is applied to show an at most polynomial gap between determinism and Las Vegas for ordered binary decision diagrams.(iii) For the size (i.e., the number of states) of finite automata we show that the size of Las Vegas finite automata recognizing a language L is at least the square root of the size of the minimal deterministic finite automaton recognizing L. Using a specific language we verify the optimality of this lower bound.     

On stateless multihead automata: Hierarchies and the emptiness problem

We look at stateless multihead finite automata in their two-way and one-way, deterministic and nondeterministic variations. The transition of a k-head automaton depends solely on the symbols currently scanned by its k heads, and every such transition moves each head one cell left or right, or instructs it to stay. We show that stateless (k+4)-head two-way automata are more powerful than stateless k-head two-way automata. In the one-way case, we prove a tighter result: stateless (k+1)-head one-way automata are more powerful than stateless k-head one-way automata. Finally, we show that the emptiness problem for stateless 2-head two-way automata is undecidable.     

Deterministic propositional dynamic logic: Finite models,complexity, and completeness

Let p be a formula in deterministic propositional dynamic logic. A decision procedure for the satisfiability of p is given along with a construction of a finite model for every satisfiable p. The decision procedure runs in deterministic time 2^cn and the size of the model is bounded by n² · 4ⁿ, where n is the length of p. Finally, a complete axiomatization for deterministic propositional dynamic logic is given, based on the Segerberg axoms for propositional dynamic logic.