Nondeterministic Finite Automata AFN.pdf

1
Nondeterministic Finite
Automata
Nondeterminism
Subset Construction

2
Nondeterminism
A nondeterministic finite automaton
has the ability to be in several states at
once.
Transitions from a state on an input
symbol can be to any set of states.

3
Nondeterminism – (2)
Start in one start state.
Accept if any sequence of choices leads
to a final state.
Intuitively: the NFA always “guesses
right.”

4
Example: Moves on a
Chessboard
States = squares.
Inputs = r (move to an adjacent red
square) and b (move to an adjacent
black square).
Start state, final state are in opposite
corners.

5
Example: Chessboard – (2)
1 2
5
7 9
3
4
8
6
1
r b b
4
2 1
5
3
7
5
1
3
9
7
r b
1 2,4 5
2 4,6 1,3,5
3 2,6 5
4 2,8 1,5,7
5 2,4,6,8 1,3,7,9
6 2,8 3,5,9
7 4,8 5
8 4,6 5,7,9
9 6,8 5
*
Accept, since final state reached

6
Formal NFA
A finite set of states, typically Q.
An input alphabet, typically Σ.
A transition function, typically δ.
A start state in Q, typically q0.
A set of final states F ⊆ Q.

7
Transition Function of an NFA
δ(q, a) is a set of states.
Extend to strings as follows:
Basis: δ(q, ε) = {q}
Induction: δ(q, wa) = the union over
all states p in δ(q, w) of δ(p, a)

8
Language of an NFA
A string w is accepted by an NFA if
δ(q0, w) contains at least one final
state.
The language of the NFA is the set of
strings it accepts.

9
Example: Language
of an NFA
For our chessboard NFA we saw that
rbb is accepted.
If the input consists of only b’s, the set
of accessible states alternates between
{5} and {1,3,7,9}, so only even-length,
nonempty strings of b’s are accepted.
What about strings with at least one r?
1 2
5
7 9
3
4
8
6

10
Equivalence of DFA’s, NFA’s
A DFA can be turned into an NFA that
accepts the same language.
If δD(q, a) = p, let the NFA have
δN(q, a) = {p}.
Then the NFA is always in a set
containing exactly one state – the state
the DFA is in after reading the same
input.

11
Equivalence – (2)
Surprisingly, for any NFA there is a DFA
that accepts the same language.
Proof is the subset construction.
The number of states of the DFA can
be exponential in the number of states
of the NFA.
Thus, NFA’s accept exactly the regular
languages.

12
Subset Construction
Given an NFA with states Q, inputs Σ,
transition function δN, state state q0, and
final states F, construct equivalent DFA
with:
 States 2Q (Set of subsets of Q).
 Inputs Σ.
 Start state {q0}.
 Final states = all those with a member of F.

13
Critical Point
The DFA states have names that are
sets of NFA states.
But as a DFA state, an expression like
{p,q} must be read as a single symbol,
not as a set.
Analogy: a class of objects whose
values are sets of objects of another
class.

14
Subset Construction – (2)
The transition function δD is defined by:
δD({q1,…,qk}, a) is the union over all i =
1,…,k of δN(qi, a).
Example: We’ll construct the DFA
equivalent of our “chessboard” NFA.

15
Example: Subset Construction
r b
1 2,4 5
2 4,6 1,3,5
3 2,6 5
4 2,8 1,5,7
5 2,4,6,8 1,3,7,9
6 2,8 3,5,9
7 4,8 5
8 4,6 5,7,9
9 6,8 5
*
r b
{1} {2,4} {5}
{2,4}
{5}
Alert: What we’re doing here is
the lazy form of DFA construction,
where we only construct a state
if we are forced to.

16
r b
1 2,4 5
2 4,6 1,3,5
3 2,6 5
4 2,8 1,5,7
5 2,4,6,8 1,3,7,9
6 2,8 3,5,9
7 4,8 5
8 4,6 5,7,9
9 6,8 5
*
r b
{1}
{2,4,6,8}
{5}
{2,4} {2,4,6,8} {1,3,5,7}
{1,3,5,7}
{2,4} {5}

17
r b
1 2,4 5
2 4,6 1,3,5
3 2,6 5
4 2,8 1,5,7
5 2,4,6,8 1,3,7,9
6 2,8 3,5,9
7 4,8 5
8 4,6 5,7,9
9 6,8 5
*
r b
{1}
* {1,3,7,9}
{2,4,6,8}
{2,4,6,8} {1,3,7,9}
{5}
{2,4} {2,4,6,8} {1,3,5,7}
{1,3,5,7}
{2,4} {5}

18
r b
1 2,4 5
2 4,6 1,3,5
3 2,6 5
4 2,8 1,5,7
5 2,4,6,8 1,3,7,9
6 2,8 3,5,9
7 4,8 5
8 4,6 5,7,9
9 6,8 5
*
r b
{1}
* {1,3,5,7,9}
* {1,3,7,9}
{2,4,6,8} {1,3,5,7,9}
{2,4,6,8}
{2,4,6,8} {1,3,7,9}
{5}
{2,4} {2,4,6,8} {1,3,5,7}
{1,3,5,7}
{2,4} {5}

19
r b
1 2,4 5
2 4,6 1,3,5
3 2,6 5
4 2,8 1,5,7
5 2,4,6,8 1,3,7,9
6 2,8 3,5,9
7 4,8 5
8 4,6 5,7,9
9 6,8 5
*
r b
{1}
* {1,3,5,7,9}
* {1,3,7,9}
{2,4,6,8} {1,3,5,7,9}
{2,4,6,8}
{2,4,6,8} {1,3,7,9}
{5}
{2,4} {2,4,6,8} {1,3,5,7}
{1,3,5,7}
{2,4} {5}
{2,4,6,8} {1,3,5,7,9}

20
r b
1 2,4 5
2 4,6 1,3,5
3 2,6 5
4 2,8 1,5,7
5 2,4,6,8 1,3,7,9
6 2,8 3,5,9
7 4,8 5
8 4,6 5,7,9
9 6,8 5
*
r b
{1}
* {1,3,5,7,9}
* {1,3,7,9} {2,4,6,8} {5}
{2,4,6,8} {1,3,5,7,9}
{2,4,6,8}
{2,4,6,8} {1,3,7,9}
{5}
{2,4} {2,4,6,8} {1,3,5,7}
{1,3,5,7}
{2,4} {5}
{2,4,6,8} {1,3,5,7,9}

21
r b
1 2,4 5
2 4,6 1,3,5
3 2,6 5
4 2,8 1,5,7
5 2,4,6,8 1,3,7,9
6 2,8 3,5,9
7 4,8 5
8 4,6 5,7,9
9 6,8 5
*
r b
{1}
* {1,3,5,7,9} {2,4,6,8} {1,3,5,7,9}
* {1,3,7,9} {2,4,6,8} {5}
{2,4,6,8} {1,3,5,7,9}
{2,4,6,8}
{2,4,6,8} {1,3,7,9}
{5}
{2,4} {2,4,6,8} {1,3,5,7}
{1,3,5,7}
{2,4} {5}
{2,4,6,8} {1,3,5,7,9}

22
Proof of Equivalence: Subset
Construction
The proof is almost a pun.
Show by induction on |w| that
δN(q0, w) = δD({q0}, w)
Basis: w = ε: δN(q0, ε) = δD({q0}, ε) =
{q0}.

23
Induction
Assume IH for strings shorter than w.
Let w = xa; IH holds for x.
Let δN(q0, x) = δD({q0}, x) = S.
Let T = the union over all states p in S of
δN(p, a).
Then δN(q0, w) = δD({q0}, w) = T.
 For NFA: the extension of δN.
 For DFA: definition of δD plus extension of δD.
• That is, δD(S, a) = T; then extend δD to w = xa.

24
NFA’s With ε-Transitions
We can allow state-to-state transitions
on ε input.
These transitions are done
spontaneously, without looking at the
input string.
A convenience at times, but still only
regular languages are accepted.

25
Example: ε-NFA
C
E F
A
B D
1
1 1
0
0
0
ε
ε ε
0 1 ε
A {E} {B} ∅
B ∅ {C} {D}
C ∅ {D} ∅
D ∅ ∅ ∅
E {F} ∅ {B, C}
F {D} ∅ ∅
*

26
Closure of States
CL(q) = set of states you can reach
from state q following only arcs labeled
ε.
Example: CL(A) = {A};
CL(E) = {B, C, D, E}.
Closure of a set of states = union of
the closure of each state.
C
E F
A
B D
1
1 1
0
0
0
ε
ε ε

27
Extended Delta
 Basis: (q, ε) = CL(q).
 Induction: (q, xa) is computed as
follows:
1. Start with (q, x) = S.
2. Take the union of CL(δ(p, a)) for all p in S.
 Intuition: (q, w) is the set of states
you can reach from q following a path
labeled w.
˄
δ
˄
δ
˄
δ
˄
δ
And notice that δ(q, a) is not
that set of states, for symbol a.

28
Example:
Extended Delta
 (A, ε) = CL(A) = {A}.
 (A, 0) = CL({E}) = {B, C, D, E}.
 (A, 01) = CL({C, D}) = {C, D}.
Language of an ε-NFA is the set of
strings w such that (q0, w) contains a
final state.
C
E F
A
B D
1
1 1
0
0
0
ε
ε ε
˄
δ
˄
δ
˄
δ
˄
δ

29
Equivalence of NFA, ε-NFA
Every NFA is an ε-NFA.
 It just has no transitions on ε.
Converse requires us to take an ε-NFA
and construct an NFA that accepts the
same language.
We do so by combining ε–transitions
with the next transition on a real input.
Warning: This treatment is a
bit different from that in the text.

30
Picture of ε-Transition Removal
Transitions
on ε
a
a
a
Transitions
on ε

31
Transitions
on ε
a
a
a
Transitions
on ε
Text goes
from here
To here, and performs
the subset construction

32
Transitions
on ε
a
a
a
Transitions
on ε
We’ll go
from here
To here, with no
subset construction

33
Equivalence – (2)
Start with an ε-NFA with states Q,
inputs Σ, start state q0, final states F,
and transition function δE.
Construct an “ordinary” NFA with states
Q, inputs Σ, start state q0, final states
F’, and transition function δN.

34
Equivalence – (3)
 Compute δN(q, a) as follows:
1. Let S = CL(q).
2. δN(q, a) is the union over all p in S of
δE(p, a).
 F’ = the set of states q such that
CL(q) contains a state of F.
 Intuition: δN incorporates ε–transitions
before using a but not after.

35
Equivalence – (4)
Prove by induction on |w| that
CL(δN(q0, w)) = E(q0, w).
Thus, the ε-NFA accepts w if and only if
the “ordinary” NFA does.
˄
δ

36
Example: ε-NFA-
to-NFA
0 1 ε
A {E} {B} ∅
B ∅ {C} {D}
C ∅ {D} ∅
D ∅ ∅ ∅
E {F} ∅ {B, C}
F {D} ∅ ∅
*
ε-NFA
0 1
A {E} {B}
B ∅ {C}
C ∅ {D}
D ∅ ∅
E {F} {C, D}
F {D} ∅
*
*
*
Since closure of
E includes B and
C; which have
transitions on 1
to C and D.
Since closures of
B and E include
final state D.
Interesting
closures: CL(B)
= {B,D}; CL(E)
= {B,C,D,E}

37
Summary
DFA’s, NFA’s, and ε–NFA’s all accept
exactly the same set of languages: the
regular languages.
The NFA types are easier to design and
may have exponentially fewer states
than a DFA.
But only a DFA can be implemented!

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