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and
(an analogous definition can be given for the
right derivation , by replacing prefixes by suffixes).
A (formal) language L over an alphabet A is a set of strings over this alphabet,
that is, L
α ( β )= λ
if
α
is not a prefix of
β
. Of course, the alphabet A is a language over A , A is also a
language over A , and any finite (or empty) subset of A is a language over A .
For example, all the strings over an alphabet A of length equal to or smaller than
n define a (finite) language over the alphabet A :
A )
P(
A || α |≤
{ α
n
}
The following are languages over an alphabet A :
A }
{ αα | α
A | α = β
n
A ,
{ α
for any
β
n
N }
A provides the following languages:
Any string
α
A }
Pre f
( α )= { β | βγ = α , γ
A }
Su f
( α )= { β | γβ = α , γ
Sub
( α )= { β | β α }
If
is an operation defined on strings over an alphabet A , then we can extend it to
any language L over A by putting:
ω
ω (
L
)= { ω ( α ) | α
L
}.
The definition of languages as particular sets, allows us to apply to them all the usual
boolean operation on set (union, intersection, and difference). However, the catena-
tive nature of strings provides other natural operations. Table 6.1 reports the main
operations on languages, where L 1 ,
A )
. In the context of formal languages,
for reasons of similarity with the notation that will be introduced, set-theoretic union
will be also called sum and will be denoted by
L 2 P(
+
.
L .
A language expression E is constructed by applying language operations on
some initially given languages. A grammar G for a language L is an algorithm
Abbreviation
α
L stands for
{ α
L and
α +
L stands for
{ α } +
Ta b l e 6 . 1 Operations on languages
L 1 + L 2 = { α | α L 1 , or
α L 2 }
language sum
L 1 L 2 = { α | α L 1 , α L 2 }
language difference
L 1 L 2 = { α | α L 1 , α L 2 }
language intersection
L 1 · L 2 = { αβ | α L 1 , β L 2 }
language concatenatiion
L n
= { α 1 α 2 ... α n | α i L , for i = 1 , 2 ,..., n }
language iteration ( n 1 )
L = { α 1 α 2 ... α n | α i L , for i = 1 , 2 ,..., n , and n N }
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