The Equivalent Transforming among RG, RE and FA
正规文法
A Grammar G is a quadruple (四元组):G = (VN, VT, S, P )
Where,
- VN is a finite set of nonterminals.
- VT is a finite set of terminals.
- S is the start symbol, S ∈ \in ∈ VN.
- P is a finite set of productions (产生式).
Regular Grammar (RG) (正规文法):
α∈VN and β ∈VT∪VTVN
正规表达式
Regular Expression:
Regular expressions over ∑ are defined as :
- ε and ϕ \phi ϕ are RE’s, denoting the sets {ε} and Φ , respectively ;
- Any a ∈ \in ∈∑ , a is an RE, denoting the set { a };
- If a and b are RE’s, denoting the sets A and B respectively, then a b , a | b, and a* are RE’s, denoting the sets AB, AUB and A* respectively;
- Nothing is an RE unless it follows from 1 to 3 finite times.
有限自动机
确定的有限自动机
Deterministic Finite Automata:
A Deterministic Finite Automaton (DFA) is a quintuple (五元组)
M = (S, ∑ , f, s0 , Z),
where
- S is a finite set of states;
- ∑ is the set of input symbols;
- f : S×∑ →S, the transition function;
- s0 ∈ \in ∈S, the initial state;
- Z ⊆ \subseteq ⊆ S, the set of final states.
非确定有限自动机
Nondeterministic Finite Automata:
An Nondeterministic Finite Automata (NFA) is also a quintuple
M = ( S, ∑ , f, s0 , Z),
where:
- S is a finite set of states;
- ∑ is the set of input symbols;
- f : S×∑* →ρ(S), the transition function;
- s0 ∈ \in ∈S, the initial state;
- Z ⊆ \subseteq ⊆S, the set of final states.
Difference between DFA & NFA
The definitions of transition functions of DFA and NFA are different:
DFA f: S×∑ →S
NFA f: S×∑* →ρ(S)
That means: a state of DFA has a unique next state and can not transit without input, but a state of NFA may have more than one next states and can transit without input.
正规表达式转换为正规文法
Transforming RE to RG
Let r be an RE on∑. Construct G = (VN, VT, S, P):
-
Initialization: VT=∑; P = {S → r}; VN ={S};
-
For any production in P, rewrite it as follows:
⑴ A → x*y => A → xA |y.
⑵ A→x | y => A → x | y;
⑶A → xy => A → xB B → y; VN = VN ∪{B};
⑷A→(x | y)B =>A → xB | yB; VN = VN ∪{B};
where x and y be RE’s, B be a new nonterminal.
-
Repeat step 2 until each rule has one termianal.
样例
Transform a(a | d)* to RG
VT={a, b}; P = {S → a(a | d)* }; VN ={S};
S → a(a | d)* => S → aA A → (a | d)*
A → (a | d)* => A → (a | d)A |ε
A → (a | d)A => A → aA | dA
Finally we get the regular grammar G is
({S, A}, {a, b}, S, {S→ aA A→ aA|dA|ε})
正规文法转换为正规表达式
Transforming RG to RE
- Transform RG to a group of equations by replacing → and | as = and +, respectively.
- For equations X = aY + a and Y = b, we replace Y by b, and get X = ab + a.
- If there is an equation X=rX + t, we have the solution X = r*t;
- Repeat step 2 and 3, until the solution S=r is got. Then r is the corresponding RE.
样例
Consider the grammar G:S → aS | aA A → bB B → aB | a
-
Transform the rules into a group of equations:
S = aS + aA (1)
A = bB (2)
B = aB + a (3)
-
For equation 3 we have: B = a*a;
-
For equation 2 we have: A = ba*a;
-
For equation 1 we have: S = aS + aba*a;
-
Finally we have: S = a*aba*a;
正规文法转换为有限自动机
Transforming RG to FA
G = (VN, VT, S, P) is a right linear grammar, there is an FA M such that L(M) = L(G).
Let M = (Q, ∑, f, s0 , {Z}), where
∑= VT; Q = VN∪{Z}; Z ∉ \notin ∈/ VN; s0= S;
For ∀ \forall ∀ A→tB∈P, t∈VT∪{e}, A, B∈VN, then f(A, t) = B;
For ∀ \forall ∀ A→t∈P, A∈VN, t∈VT∪{ε}, then f(A, t) = Z.
样例
Given G=({A,B,C,D},{0,1},f,A,P),
P = {A → 0 | 0B | 1D B → 0D | 1C
C → 0 | 0B| 1D D → 0D | 1D }
- Construct M = (Q,∑,f,A,{Z}):
- Q={A,B,C,D,Z}, ∑ = {0, 1},
- f(A, 0)=B, f(A, 0)=Z, f(A, 1)=D,
- f(B, 0)=D, f(B, 1)=C,
- f(C, 0)=B, f(C, 0)=Z, f(C, 1)=D,
- f(D, 0)=D, f(D, 1)=D.
有限自动机转换为正规文法
Transforming FA to RG
M=(Q, ∑, f, s0 , F) is a DFA, there is a right linear grammar G such that L(M) = L(G).
Let G = (VN, VT, S, P), where
VT = ∑; VN = Q; S = s0;
For ∀ \forall ∀ t∈VT, ∀ \forall ∀ A, B∈VN, if f(A, t) = B
then If B ∈F then A →tB | t∈P
else A→tB∈P;
样例
Given M=({0,1},{A,B,C,D},f,A,{B})
-
Construc G = (VN,VT, A, P),
-
VN = {A, B, C, D},
-
VT = {0, 1},
-
P = { A → 0B | 0 | 1D
B → 0D | 1C
C → 0B | 0 | 1D D → 0D | 1D }
正规表达式转换为有限自动机
Transforming RE to FA
Given an RE r, there is an FA M, such that L(M) = L®.
- Basis: |r| = 1.
- We prove it by induction on the length of r.
Assume that for any RE r1 and r2, if |r1| < k and |r2| < k, they have their NFA M1 and M2.
- For any RE r, |r| = k, we have:
Initialization: set up two state X and Y, such as:
Repeat dividing the RE r on the arcs according to the following rules (1) to (3):
Until each arc labeled by a symbol.
样例
有限自动机转换为正规表达式
Transforming FA to RE
Initialization: Add two state : X , Y. X is the unique initial state and Y is the unique final state
Repeat linking the RE r on the arcs according to the following rules (1) to (3):
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样例
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