Input-Erasing Two-Way Finite Automata

The present paper introduces and studies an alternative concept of two-way finite automata called input-erasing two-way finite automata. Like the original model, these new automata can also move the reading head freely left or right on the input tape. However, each time they read a symbol, they also erase it from the tape. The paper demonstrates that these automata define precisely the family of linear languages and are thus strictly stronger than the original ones. Furthermore, it introduces a variety of restrictions placed upon these automata and the way they work and investigates the effect of these restrictions on their acceptance power. In particular, it explores the mutual relations of language families resulting from some of these restrictions and shows that some of them reduce the power of these automata to that of even linear grammars or even ordinary finite automata.

Publication Details

Journal
ArXiv.org
Published
2025-04-02
Primary Topic
DNA and Biological Computing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Input-Erasing Two-Way Finite Automata

ArXiv.org
DNA and Biological Computing
article

Input-Erasing Two-Way Finite Automata

article en

Abstract

The present paper introduces and studies an alternative concept of two-way finite automata called input-erasing two-way finite automata. Like the original model, these new automata can also move the reading head freely left or right on the input tape. However, each time they read a symbol, they also erase it from the tape. The paper demonstrates that these automata define precisely the family of linear languages and are thus strictly stronger than the original ones. Furthermore, it introduces a variety of restrictions placed upon these automata and the way they work and investigates the effect of these restrictions on their acceptance power. In particular, it explores the mutual relations of language families resulting from some of these restrictions and shows that some of them reduce the power of these automata to that of even linear grammars or even ordinary finite automata.

ArXiv.org
Quality Education
Openalex Percentile: Top 51%
DNA and Biological Computing
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.