scholarly journals Generic Study on n-state Mealy Automata without Cycles

2018 ◽  
Vol 1000 ◽  
pp. 012162
Author(s):  
K. Thiagarajan ◽  
P. Balasubramanian ◽  
J. Padmashree
Keyword(s):  
2012 ◽  
Vol 22 (06) ◽  
pp. 1250052 ◽  
Author(s):  
ALI AKHAVI ◽  
INES KLIMANN ◽  
SYLVAIN LOMBARDY ◽  
JEAN MAIRESSE ◽  
MATTHIEU PICANTIN

This paper addresses a decision problem highlighted by Grigorchuk, Nekrashevich, and Sushchanskiĭ, namely the finiteness problem for automaton (semi)groups. For semigroups, we give an effective sufficient but not necessary condition for finiteness and, for groups, an effective necessary but not sufficient condition. The efficiency of the new criteria is demonstrated by testing all Mealy automata with small stateset and alphabet. Finally, for groups, we provide a necessary and sufficient condition that does not directly lead to a decision procedure.


Author(s):  
Jérémie Brieussel ◽  
Thibault Godin ◽  
Bijan Mohammadi

The growth of a finitely generated group is an important geometric invariant which has been studied for decades. It can be either polynomial, for a well-understood class of groups, or exponential, for most groups studied by geometers, or intermediate, that is between polynomial and exponential. Despite recent spectacular progresses, the class of groups with intermediate growth remains largely mysterious. Many examples of such groups are constructed using Mealy automata. The aim of this paper is to give an algorithmic procedure to study the growth of such automaton groups, and more precisely to provide numerical upper bounds on their exponents. Our functions retrieve known optimal bounds on the famous first Grigorchuk group. They also improve known upper bounds on other automaton groups and permitted us to discover several new examples of automaton groups of intermediate growth. All the algorithms described are implemented in GAP, a language dedicated to computational group theory.


2014 ◽  
Vol 513-517 ◽  
pp. 2496-2501
Author(s):  
Li Hua Zhao ◽  
Xue Jia Liang ◽  
Xiang Peng ◽  
Hua Feng Kong ◽  
Mei Zhen Wang

To infer the network protocol state machine is very useful in network security-related contexts, both in research and management. This process follows an extension of the classic Angluins L* algorithm and has achieved an extended version of some Mealy automata to represent or model a communication protocol. The algorithm has been validated by inferring the protocol state machine from SMTPFTP protocol, and tested offline algorithms for the comparison experiments. The experimental results show that this method can more accurately identify the network protocol state machine and is of the important application value.


2006 ◽  
Vol 12 (4) ◽  
pp. 360-366
Author(s):  
Aušra Žvironienė ◽  
Zenonas Navickas ◽  
Ramutis Rindzevičius

The imitation model of bursty and batch data packet flow is presented in this paper. The proposed imitation model was created using the convolution of Moore and Mealy automata.


2018 ◽  
Vol 29 (02) ◽  
pp. 297-314
Author(s):  
Ines Klimann ◽  
Matthieu Picantin ◽  
Dmytro Savchuk

The class of automaton groups is a rich source of the simplest examples of infinite Burnside groups. However, all such examples have been constructed as groups generated by non-reversible automata. Moreover, it was recently shown that 2-state reversible Mealy automata cannot generate infinite Burnside groups. Here we extend this result to connected 3-state reversible Mealy automata, using new original techniques. The results rely on a fine analysis of associated orbit trees and a new characterization of the existence of elements of infinite order.


2021 ◽  
Vol 20 ◽  
pp. 168-175
Author(s):  
Merve Nur Cakir ◽  
Mehwish Saleemi ◽  
Karl-Heinz Zimmermann

Stochastic Moore automata have in opposition to stochastic Mealy automata the same capabilities as general stochastic automata, but have the advantage that they are easier to access than their pure stochastic counterparts. Cascade decomposition of automata leads to a loop-free partitioning and in this way contributes to the analysis of automata. This paper shows that stochastic Moore automata can be decomposed into cascade products of stochastic Moore automata under mild conditions


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