[PDF] [PDF] 1 Finite Automata and Regular Expressions

is a finite automaton recognizing A For example, justify why there would be a finite automaton recognizing the language represented by a ∪ (ab) ∗ Proof: We 



Previous PDF Next PDF





[PDF] Finite Automata

An FA accepts input string if final state is ac- cept state; otherwise it rejects Goddard 1: 4 Page 5 An Example FA A



Finite Automata

second section we define finite automata and provide many examples we prove another famous result in finite automata theory, the Kleene Theorem The



[PDF] Finite Automata

formal definition of finite automata deterministic vs non-deterministic finite automata regular languages Slides modified by Benny Chor, based on original slides 



[PDF] Learning of Construction of Finite Automata from Examples Using Hill

Given positive sample strings and negative sample strings a finite automaton is generated and incrementally refined to accept all positive samples but no negative 



[PDF] Finite Automata

A string over an alphabet Σ is a finite sequence of characters drawn from Σ ○ Example: If Σ = {a, b}, some valid strings over Σ include



[PDF] Applications of Deterministic Finite Automata - UC Davis

As our final example, we will consider the incorporation of finite state machines into the Apache Lucene open-source search engine, where they are used to 



[PDF] Regular Languages and Finite Automata

A string of length n (≥ 0) over an alphabet Σ is just an ordered n-tuple of elements of Σ, written without punctuation Example: if Σ = {a, b, c}, then a, ab, aac , and 



[PDF] Deterministic Finite Automata

1 Introducing Finite Automata 1 1 Problems and Computation Decision Problems Decision Problems Given input, decide “yes” or “no” • Examples: Is x an 



[PDF] Deterministic Finite Automata

Deterministic Finite Automata Definition: A deterministic finite automaton (DFA) consists of 1 a finite set of states (often denoted Q) 2 a finite set Σ of symbols 



[PDF] 1 Finite Automata and Regular Expressions

is a finite automaton recognizing A For example, justify why there would be a finite automaton recognizing the language represented by a ∪ (ab) ∗ Proof: We 

[PDF] examples of good and bad thesis statements handout

[PDF] examples of hegemony in education

[PDF] examples of hope in the bible

[PDF] examples of impact investment in india

[PDF] examples of language divergence

[PDF] examples of law reports

[PDF] examples of letters requesting funding

[PDF] examples of manufacturing companies

[PDF] examples of mixtures that can be separated by sublimation

[PDF] examples of point sources of water pollution include

[PDF] examples of point sources of water pollution include quizlet

[PDF] examples of proximity measures in data mining

[PDF] examples of reference list for essay

[PDF] examples of secondary sources

[PDF] examples of separation techniques in industry

1 Finite Automata and Regular Expressions

Motivation: Given a pattern (regular expression) for string searching, we might want to convert it into a deterministic finite automaton or nondeter- ministic finite automaton to make string searching more efficient; a determin- istic automaton only has to scan each input symbol once. Can this always be done? Theorem 1.1IfL1=L(M1)andL2=L(M2)for languagesLi⊆Σ∗then

1. there is an automatonMrecognizingL1∪L2

2. there is an automatonMrecognizingL1◦L2

3. there is an automaton recognizingL∗1

4. there is an automaton recognizingΣ∗-L1

5. there is an automaton recognizingL1∩L2

6. ifa∈Σthen there is an automaton recognizing{a}

7. there is an automaton recognizing∅

From all of these things it follows that ifAis a regular language then there is a finite automaton recognizingA. For example, justify why there would be a finite automaton recognizing the language represented bya∪(ab)∗. Proof:We will do the proof for nondeterministic automata since determin- istic and nondeterministic automata are of equivalent power.

1.1 Union

For union, supposeM1is (K1,Σ,∆1,s1,F1) andM2is (K2,Σ,∆2,s2,F2).

Then letMbe (K,Σ,∆,s,F) where

K=K1∪K2∪ {s}

F=F1∪F2

1∪∆2∪ {(s,e,s1),(s,e,s2)}

andsis a new state. ThenL(M) =L(M1)∪L(M2). Diagram: 1 M1 M2 MK1 K2 K1 K2s1 s2 s1 s2 se e Note thatϵarrows are convenient for this construction.

1.1.1 Example

p qa bRecognizes a*

Recognizes b*

2 p qa b

Recognizes a* U b*e

e

1.2 Concatenation

M1K1 s1 F2 K2 s2F1 K1 s1 F1 K1 s1 F1 K1 s1 F1 M2MK1 s1 F2 K2 s2 F1K1 s1 F1 K1 s1 F1 K1 s1 F1 ee e 3 The states inF1are no longer accepting states. ThenL(M) =L(M1)◦

L(M2).

1.2.1 Examplep

qa bRecognizes a*

Recognizes b*

paqbRecognizes a*b* e

1.3 Kleene star

M1K1 s1F1 K1 s1 F1 K1 s1 F1 K1 s1 F1 4 MsF K F ee ee

ThenL(M) =L(M1)∗.

1.3.1 Examplea,bRecognizes {a,b}a,bRecognizes {a,b}*e

e How would you modify this automaton to recognize{a,b}+? Another simple construction for Kleene star fails for this automaton:a b 5

1.4 Complementation

LetM1= (K,Σ,δ,s,F) be adeterministicfinite automaton. LetM be (K,Σ,δ,s,K-F). ThenL(M) = Σ∗-L(M1).

1.4.1 ExampleaabbM1

Recognizes strings with even number of a'saabbM

Recognizes strings with odd number of a's

Why does the automaton have to be deterministic for this to work? An example showing thatM1has to be deterministic for this construc- tion to work: 6 a a

1.5 Intersection

For this, note thatL1∩L2= Σ∗-((Σ∗-L1)∪(Σ∗-L2)).

1.6 Other operations

Parts 6 and 7 of the theorem are trivial. Ask students to do them. As a consequence of this theorem, if a languageLis regular, then there is a finite automatonMrecongizingL.

2 Example

We construct a nondeterministic finite automaton recognizingL((ab)∗∪a). a bquotesdbs_dbs3.pdfusesText_6