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Lecture 4 Theory of AUTOMATA

Lecture 4 Theory of AUTOMATA. Finite Automaton ( fa ). FA corresponding to finite languages. Example Consider the language L = { Λ, b, ab, bb}, defined over Σ ={ a, b}, expressed by Λ + b + ab + bb OR Λ + b ( Λ + a + b). The language L may be accepted by the following FA.

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Lecture 4 Theory of AUTOMATA

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  1. Lecture 4Theory of AUTOMATA

  2. Finite Automaton (fa) • FA corresponding to finite languages. • Example • Consider the language L = {Λ, b, ab, bb}, defined over Σ ={a, b}, expressed by Λ + b + ab + bb OR Λ + b (Λ + a + b). • The language L may be accepted by the following FA

  3. Finite Automaton (fa) • Dead State • It is to be noted that the states x and y are called Dead States, Waste Baskets, as themoment one enters these states there is no way to leave it. • Tree structure • To build an FA accepting the language having less number of strings, the tree structure may also help in this regard, which can be observed in the following transition diagram for the Language L, discussed in the above example

  4. Finite Automaton (fa) • Tree structure

  5. Transition Graph • Definition: • A Transition graph (TG), is a collection of the followings • Finite number of states, at least one of which is start state and some (maybe none) final states. • Finite set of input letters (Σ) from which input strings are formed. • Finite set of transitions that show how to go from one state to another based on reading specified substrings of input letters, possibly even the null string (Λ).

  6. Transition Graph • In TG there may exist more than one paths for certain string, while there may not exist any path for certain string as well. • If there exists at least one path for a certain string, starting from initial state and ending in a final state, the string is supposed to be accepted by the TG, otherwise the string is supposed to be rejected. • Obviously collection of accepted strings is the language accepted by the TG.

  7. Transition Graph • Example • Consider the Language L , defined over Σ = {a, b} of all strings including Λ. The language L may be accepted by the following TG

  8. Transition Graph • Example • Consider the following TGs • TG1: • TG2: • TG3

  9. Transition Graph • Every FA is a TG as well, but the converse may not be true • Thus none of TG1, TG2 and TG3 accepts any string, i.e. these TGs accept empty language. It may be noted that • TG1 and TG2 are TGs but not FA, while TG3 is both TG and FA as well. • Every FA is a TG as well, but the converse may not be true, i.e. every TG may not be an FA.

  10. Transition Graph • Example • Consider the language L of strings, defined over Σ={a, b}, starting with b. The language L may be expressed by RE b(a + b)* , may be accepted by the following TG

  11. Transition Graph • Example • Consider the language L of strings, defined over Σ={a, b}, not ending in b. The language L may be expressed by RE: Λ + (a + b)*a , may be accepted by the following TG

  12. Generalized Transition Graphs • A generalized transition graph (GTG) is a collection of three things • Finite number of states, at least one of which is start state and some (maybe none) final states. • Finite set of input letters (Σ) from which input strings are formed. • Directed edges connecting some pair of states labeled with regular expression. • It may be noted that in GTG, the labels of transition edges are corresponding regular expressions.

  13. Generalized Transition Graphs • Example • Consider the language L of strings, defined over Σ = {a,b}, containing double a or double b. The language L can be expressed by the following regular expression (a+b)* (aa + bb) (a+b)* • The language L may be accepted by the following GTG.

  14. Generalized Transition Graphs • Example • Consider the language L of strings of, defined over Σ = {a, b}, beginning and ending in different letters. • The language L may be expressed by RE: a(a + b)*b + b(a + b)*a • The language L may be accepted by the following GTG

  15. Generalized Transition Graphs • The language L may be accepted by the following GTG as well

  16. Nondeterminism • Nondeterminism • TGs and GTGs provide certain relaxations i.e. there may exist more than one path for a certain string or there may not be any path for a certain string, this property creates nondeterminism and it can also help in differentiating TGs or GTGs from FAs. Hence an FA is also called a Deterministic Finite Automaton (DFA).

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