Lecture 14UofH - COSC Dr. Verma 1 COSC 3340: Introduction to Theory of Computation University of Houston Dr. Verma Lecture 14
UofH - COSC Dr. Verma 2 PDA’s and CFG’s For every CFG G there is a PDA M such that L(G) = L(M) For every PDA M there is a CFG G such that L(M) = L(G)
Lecture 14UofH - COSC Dr. Verma 3 CFG PDA Given CFG G = (V, , R, S) Let PDA M = (Q, , V {$}, , q start, {q accept }) – Q = {q start, q loop,q accept } contains transitions for the form 1. ((q start, , ), (q loop, S$)) 2. For each rule A w R(G) there is a transition ((q loop, , A),(q loop, w)) *** 3. For each symbol ((q loop, , ), (q loop, )) 4. ((q loop, , $), (q accept, )) q start q loop q accept , S$ , $ , A w ,
Lecture 14UofH - COSC Dr. Verma 4 CFG PDA The PDA simulates a leftmost derivation of the string. 1. Place the marker symbol $ and the start variable on the stack. 2. Repeat the following steps forever (a)If the top of stack is a variable symbol A, nondeterministically select on of the rules for A and substitute A by the string on the right-hand side of the rule. (b)If the top of stack is terminal symbol , read the next symbol from the input and compare it to . If they match, repeat. If they do not match, reject on this branch of the nondeterminism. (c)If the top of stack is the symbol $, enter the accept state. Doing so accepts the input if it has all been read.
Lecture 14UofH - COSC Dr. Verma 5 Example: S aSb | Z is used instead of $ Instead of q0 = q start q1 = q loop q2 = q accept
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Lecture 14UofH - COSC Dr. Verma 32 Idea of PDA CFG First, we simplify our task by modifying P slightly to give it the following three features 1. It has a single accept state, q accept. 2. It empties its stack before accepting. 3. Each transition either pushes a symbol onto the stack (a push move) or pops one off the stack (a pop move), but does not do both at the same time.
Lecture 14UofH - COSC Dr. Verma 33 PDA CFG Suppose P = {Q, , , Δ, q 0, {q accept }} to construct G. The variables of G are {A pq | p, q Q}. A pq generates all the strings that can take P from p with an empty stack to q with an empty stack. Two possibilities occur during P’s computation on x. Either the symbol popped at the end is the symbol pushed at the beginning or not. First, simulated by Type 1 rules on next slide and the second by Type 2 rules.
Lecture 14UofH - COSC Dr. Verma 34 PDA CFG The start variable is A q0qaccept. Now we describe G’s rules. – [Type 1] For each p, q, r, s Q, t , and a, b , if ((p, a, ), (r, t)) is in Δ and ((s, b, t), (q, )) is in Δ, put the rule A pq aA rs b in G. – In other words, find pairs of transitions in the PDA such that the first transition in the pair pushes a symbol t and the second transition pops the same symbol t. Each such pair of transitions gives a Type 1 rule. The states p, q, r, s, and the symbols a, b are determined by looking at the transitions in the pair.
Lecture 14UofH - COSC Dr. Verma 35 PDA CFG – [Type 2] For each p, q, r Q put the rule A pq A pr A rq in G. – [Type 3] Finally, for each p Q put the rule A pp in G.
Lecture 14UofH - COSC Dr. Verma 36 Example Let M be the PDA for {a n b n | n > 0} – Note that n cannot be 0, which makes the example a little simpler. M = {{p, q}, {a, b}, {a}, , p, {q}}, where = {((p, a, ),(p, a)),((p, b, a), (q, )),((q, b, a),(q, ))} p q
Lecture 14UofH - COSC Dr. Verma 37 Example: contd. CFG, G = (V, {a, b}, A pq, R) corresponding to M has V = {A pp, A pq, A qp, A qq }. R contains the following rules: Type I: – A pq aA pp b – A pq aA pq b Type II: – A pp A pp A pp | A pq A qp – A pq A pp A pq | A pq A qq – A qp A qp A pp | A qq A qp – A qq A qp A pq | A qq A qq Type III: – A pp – A qq We can discard all rules containing the variables A qq and A qp. And we can also simplify the rules containing A pp and get the grammar with just two rules A pq ab and A pq aA pq b.
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