Deterministic Bandwidth of Finite Languages

📅 2026-08-25
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🤖 AI Summary
研究通过确定性有限自动机的带宽限制探讨了有限语言的结构特性,并提出了估计最小DFA带宽的上下界方法。
📝 Abstract
Bandwidth restricts how far transitions can move under an ordering of the states in an automaton. While every finite language admits a bandwidth-2 NFA representation, the deterministic setting is substantially more restrictive. We investigate the bandwidth of partial DFAs accepting finite languages. We show that bounded bandwidth imposes strong structural restrictions on deterministic representations. We prove that there is an infinite hierarchy of classes of finite languages defined by deterministic bandwidth. As a special case of interest, we consider finite languages accepted by bandwidth-1 partial DFAs, and show that they admit a positional characterization, which yields a polynomial-time decision algorithm. We further study how the minimum DFA bandwidth can be estimated from the structure of the minimal DFA. We derive computable upper and lower bounds based on position-unfolding, and local growth of reachable residual states. These bounds can be computed efficiently and differ by at most a linear factor in the maximum word length. We also present a simple language family where the bounds match exactly.
Problem

Research questions and friction points this paper is trying to address.

bandwidth
finite languages
deterministic finite automata
structural restrictions
estimation
Innovation

Methods, ideas, or system contributions that make the work stand out.

Deterministic Bandwidth
Finite Languages
Positional Characterization
Polynomial-time Decision Algorithm
Bounds on DFA Bandwidth
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