Transcript Lecture 19
Lecture 19 • NFA’s – nondeterministic transition functions • computations are trees, not paths – L(M) and LNFA • LFSA subset of LNFA – Comparing computational models 1 Nondeterministic Finite State Automata NFA’s 2 Change: d is a relation • For an FSA M, d(q,a) results in one and only one state for all states q and characters a. – That is, d is a function • For an NFA M, d(q,a) can result in a set of states – That is, d is now a relation – Next step is not determined (nondeterministic) 3 Example NFA a,b a,b a a b a •Why is this only an NFA and not an FSA? •Out of the first state, there are 2 transitions on a •Out of the second state, there are 0 transitions on b •Out of the third state, there are 0 transitions on a •Out of the fourth state, there are 0 transitions on b 4 Computing with NFA’s • Configurations: same as they are for FSA’s • Computations are different – Initial configuration is identical – However, there may be several next configurations or there may be none. • Computation is no longer a “path” but is now a “graph” (often a tree) rooted at the initial configuration – Definition of halting, accepting, and rejecting configurations is identical – Definition of acceptance must be modified 5 a,b Computation Graph (Tree) a,b a a b a Input string aaaaba (1, aaaaba) (1, aaaba) (2, aaaba) (1, aaba) (2, aaba) (3, aaba) (1, aba) (2, aba) (3, aba) (1, ba) (2, ba) (1, a) (1, l) crash (3, ba) (4, a) (2, l) (5, l) 6 a,b Definition of |unchanged a a b a Input string aaaaba (1, aaaaba) (1, aaaba) a,b (1, aaaaba) |- (1, aaaba) (1, aaaaba) |- (2, aaaba) (2, aaaba) (1, aaaaba) |-3 (1, aba) (1, aaba) (2, aaba) (3, aaba) (1, aaaaba) |-3 (3, aba) (1, aaaaba) |-* (2, aba) (1, aba) (2, aba) (1, ba) (2, ba) (3, aba) crash (1, aaaaba) |-* (3, aba) (1, aaaaba) |-* (1, l) (3, ba) (1, aaaaba) |-* (5, l) (1, a) (1, l) (4, a) (2, l) (5, l) 7 a,b a Acceptance and Rejection (1, aaba) (1, aba) (2, aba) (1, ba) (2, ba) (1, a) (1, l) b a M accepts string x if one of the configurations reached is an accepting configuration (2, aaaba) (2, aaba) a Input string aaaaba (1, aaaaba) (1, aaaba) a,b (q0, x) |-* (f, l),f in A (3, aaba) (3, aba) crash (3, ba) M rejects string x if all configurations reached are either not halting configurations or are rejecting configurations (4, a) (2, l) (5, l) 8 Comparison b a a a a,b b a b b FSA a,b a,b a a b a NFA 9 Defining L(M) and LNFA • M accepts string x if one of the configurations reached is an accepting configuration – (q0, x) |-* (f, l),f in A • M rejects string x if all configurations reached are either not halting configurations or are rejecting configurations • L(M) (or Y(M)) – The set of strings accepted by M • N(M) – The set of strings rejected by M • LNFA – Language L is in language class LNFA iff there exists an NFA M such that L(M) = L 10 Comparing language classes LFSA subset of LNFA 11 LFSA subset LNFA • Let L be an arbitrary language in LFSA • Let M be the FSA such that L(M) = L – M exists by definition of L in LFSA • • • • Construct an NFA M’ such that L(M’) = L Argue L(M’) = L There exists an NFA M’ such that L(M’) = L L is in LNFA – By definition of L in LNFA 12 Visualization •Let L be an arbitrary language in LFSA •Let M be an FSA such that L(M) = L •M exists by definition of L in LFSA •Construct NFA M’ from FSA M •Argue L(M’) = L •There exists an NFA M’ such that L(M’) =L •L is in LNFA L LFSA M FSA’s L LNFA M’ NFA’s 13 Construction • We need to make M into an NFA M’ such that L(M’) = L(M) • How do we accomplish this? – Trivial – Every FSA already IS an NFA 14