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Lecture Notes on Part I of Fundamentals of Computation (COMP11212)

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Unlock the essential concepts of computation with these comprehensive lecture notes on Part I of Fundamentals of Computation (COMP11212). These notes cover: Regular Expressions: Understand the syntax and semantics of regular expressions, their applications, and how they are used in pattern matching and text processing. Automata: Dive into the world of finite automata, their types, and their significance in recognizing regular languages. Automata and Patterns: Explore the relationship between automata and pattern recognition, and how they are used in computational theory. Equivalent Languages and Simulations: Learn about the equivalence of different computational languages and the concept of simulations between automata. Grammars: Gain insights into formal grammars, including context-free grammars, and their role in language generation and parsing. These lecture notes provide detailed explanations, examples, and diagrams to help you grasp the fundamentals of computation effectively. Perfect for students seeking to excel in COMP11212.

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Uploaded on
May 30, 2024
Number of pages
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Written in
2023/2024
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Francisco lobo
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Regular Expressions

Language
Human using complex systems of language Examples :

capacity for acquiring and communication , and a


is
any specific example of such a system
.
Gab ,
aa , ba , bby

In mathematics , computer science and linguistics a Eb aa aba, cbc, abobal
, formal language consists of words whose letters ,
, ,



taken from an alphabet and are well-formed according to a specific set of rules.
are
Sa ,
ab , abb , abbb, ...
3




Formal Language

Symbols Alphabet Word (or strings
concatenation with
· a
,
b, c, 0 ,
1 [a
·
,
b,
ch ·
abc , ana bbbbbca , a,
·
abc .
e = abc
, empty word

· r , 9, ·

40 , 13 · abc . bc =
abobes concatenation
·
(a) = aa



11 Caba)
· = abaaba aba
·

,
·
E < empty word




11 (




· red , green ,
blue




Now languages from old (set theory ( Kloone Star

Sab babuda , , by =
Sa ,
b , ab , bay L . La = (s t . s th , t t(z] ↳* =
(5 32
, ...
Sn nEIN
,
Sitt for all 0 bi
In]
2

lab , bay e gab by ,
=
(ab] ↳ =
L L .
** =
(2) =
10
3
Cab bas sab by =
[ba) ↳ = W L L .
.


, ,




L =
u(E) L Lu = L d h . .
... L
-
n times



Examples
[ = (a b, c) alphabet For given alphabet [we define language L( *)
,
a can a



such that
Lo =
(a , b)

Li =
Laa ,
ab
,
ac
,
ba bb , be ca ob
, , , , ] L( E) =
[7 ,
X2 ... In nEIN , Vie for all 0<i < n]
ha = Lo Lo . =
Gaa ,
ab , ba , bby
Le =
[V x ,
...
En neI
,
ne3
,
i ] all the words that are a
sequence on n characters such that
u is natural number and less than equal to
Sa is
a n or 3 and
=
,
bab , a
,
b
, c, a ,
...

] &i is in the alphabet I .




↳ G =
my ↳ Gha

ha = Cave ...
In NEI
,
Vie I ] < all the words that are a
sequence on n characters and
· xplicitely start with an 'a' Such thata is a natural number and
= Sabc , ada
,
aba
, a
,
...
Y &i is in the alphabet I .




↳ nhn = Saa ,
ab , acs

↳ (n = (ba ,
bb
,
bc , ca
,
(b
, <)

Li =
Slab)"nEIN] all the words that are a sequence of 'ab' concatenated to itself
n times such that n is a natural number
.
=
[2 ,
ab
,
abab
,
ababab
, ....



Regular Expressions

Definition 1: Let I be an alphabet. A pattern or
regular expression over I is any word over
Examples
Joat = v (0 ,
3
,, *, ( , 13 Operators > [0 ,
2
,
X
, 1 ,
*
]
*
generated by the
following recursive definition .
· I =
(a by , (a(b)

Empty pattern : The character I is a pattern
·
I = (a , b, 2) ((alb) (c) or (a)(b(c)) or
Calblc)

Empty word : The character a is a pattern

Letters : Every letter from I is a pattern

Concatenation : if p , and pe are patterns then so is (pipe)

Alternative If :
p, and pe are patterns then so is (p /Pc)
,




if pattern then (p )
*
Kleene star : p is a so is

, Matching
Definition 2: Let p
be a pattern over an alphabet [ and let s be a word over I . We Examples :


say thats matches p if one of the following cases holds :
I (a
=
,
b, c)

Empty word : the pattern is
e and s is the empty word & Regular Expression : a
,
(ba) *

Base case : the pattern p = z
for a character o from 7 and s = x
· aba >
so it matches


Concatenation : the pattern p is a concatenation (P P2) ,
and there are words
·
aga >
aaa
Wh
So it does not matches
S, and se such that s, matches pi , Se matches P2 and aa a
ww

S is the concatenation of 5, and S2




Alternative : the pattern p is an alternative p =
(pilpe) and s matches Regular Expression : (abIbc) ,)
p, or
P2 (it is allowed to match both) abc
· >
abih
so it does not matches

Kleene the pattern the


Tabl
star : p is in form p =
(q ) *
ands can be
written as a
finite concatenation S = S. S2 ...
In such that
· bea, so it matches
5
. Se
, .... In q ; this includes the
all match case where

S is empty (and thus an empty concatenation ,
with n = 0




Regular Expressions define Languages Regular Language
Definition 3: Let p be a
regular expression over an alphabet
F
. The language defined Definition 4: A language L is regular if it is the set of all words matching some regular
I that match expression, that p such that C <(p)
by pattern p , L(p) is the set of all words over p. . In is
, if there is a pattern =




other words :


*

↓ (p) =
[st s matches
py Examples
Lo = [E, a
,
aa
, ana
,
aaaa
,
...
Y

Examples All of the words of to can be matched by the pattern a *

L(0) I ① So Lois a
regular language
L(E) = (2)

L(x) =
[v] for >E I ↳ =
[2 ,
ab abab ababab
, , , ....
< (pipa) <(p1) <(Pa) All of the words
of L , be matched by the
*
pattern (ab)
=
can
·




h (pipe) <(p) Lipa) So L,
= v is a
regular language
*
h (px) = (h(p))

h =
(a b) ,




All of the words of Le can be matched by the pattern (alb) and (bla)

So
La is a
regular language


↳y =
Sac , bab

All of the words of La can be matched by the pattern (alb)(

SoLy is a
regular language


La =
GW ,
wa , wa
, . . ., Way

All of the words ofIn matched by the pattern (w lwalwal
can be , ...

(Wn)
La
So is a
regular language.
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