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3 front pad rear pad door

4 REAR BOTH NEITHER closed FRONT open FRONT REAR BOTH NEITHER Think of this as a simple program that outputs one of two values (states) when provided with the current state and an input that can take on one of three possible values. front

5 REAR BOTH NEITHER closed FRONT open FRONT REAR BOTH NEITHER Many authors describe an entity like this as a "state table". It clearly defines a simple function of two inputs.

6 q 1 q q 2 3 0,1 Most authors describe such an informal definition as a "state diagram" and each labeled arc as a transition.

7 q 1 q q 2 3 0,1

8 q 1 q q 2 3 0,1

9 q 1 q q 2 3 0,1

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11 q 1 q q 2 3 0,1

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13 a s b a q 1 r 1 b b a a b b q 2 r 2 a Give a verbal description for the language that this machiine accepts.

14 0 2,RESET q q 0 2 q 2 0 1,RESET Give a verbal description for the language that this machine accepts.

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16 Experiment with JFLAP Use JFlap to construct some of the machines on pages 38 and 39. Use JFlap to construct a machine that accepts strings with an odd number of 1's. The alphabet is {0, 1}. Use JFlap to construct a machine that accepts strings with an even number of 0's. The alphabet is {0, 1}.

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18 1) A* always contains the empty string 2) A* is infinite if A is not the empty language

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20 T The construction works because, at any point in the processing of a string, M is in some state (a,b) either because M1 is in state a or M2 is in state b. This result is due to the processing of the same string in parallel. Note: The construction for M is postponed - we need another concept, non-determinism.

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22 0,1 0,1 0 0,ε q q q q 4

23 0,1 0,1 0 0,ε q q q q 4

24 0,1 0,1 0 0,ε q q q q 4

25 0,1 0,1 0 0,ε q q 1 q q 4 symbol 1 q 1 0 q 1 0 q 1 q 2 q 3 1 q q q q 3 q q q 1 4 4

26 25

27 DFAs are easy to program simply because they are deterministic. In fact, it is easy to write a program that duplicates the functionality of all DFAs by simply taking the DFA's transition table as input. NFAs are more descriptive - easier to give an NFA that accepts a language than a DFA.

28 0 0 q q 100 q 010 q q 001 q q q

29 0,1 1 0,1 q q q ,1 q 4 The power of non-determinism is the "guess". Determinism requires one to perform a search to discover a desired situation while non-determinism requires only the ability for the proper path of choices to be available, assumes that such a path has been followed,and proceeds from there. The NFA provides a set of transition choices that can read all but the last three symbols of a string, assumes that the proper choices have been made, and then completes the processing deterministically.

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31 0,1 0,1 0 0,ε q q q q 4

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33

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35 NFA N Equivalent DFA M

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38 N 1 N 2

39 N 1 ε ε N 2

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41 N 1 N 2

42 N 1 ε ε N 2

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44 N 1 N 1 ε ε

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46

47

48

49

50

51

52 a

53 N 1 ε ε N 2 N 1 ε ε N 2! ε N 1! N 1 ε

54 a a b b ba ab b ε a b ε a ε ba ab U a ε a

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57 Start and accept states are unique

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59

60 3-state DFA 5-state GNFA 4-state GNFA 3-state GNFA 2-state GNFA regular expression

61 R 4 q i q j R 1 R 3 q r R 2 q i R 1 R* 2 R 3 U R 4 q j

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70 The CONVERT(G) algorithm converts any GNFA G, to a regular expression for the language accepted by G. Since G` has only k-1 states, the inductive hypothesis guarantees that CONVERT(G`) = CONVERT(G) is a regular expression for the language accepted by G`, and therefore (by 1 and 2), for the language accepted by G.

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72 Proof restatement: Let r be the state removed from G in the creation of G`. The transition from state i to j in G` is the union of G's original regular expression from state i to j with the regular expression that defined transitions in G from state i to j and through r. Therefore, G` accepts all strings, w, that G accepts.

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76 Let L >= 1 be the size of s. Assume that the machine moves thru qo q1... gt... ql in processing s, where ql is an accept state. Since L >= 1, at least one state qr appears more than once in the sequence.

77 y x z q 1 q q 9 13

78 A valid string in the language when we pump more y's. 1's when we pump more y's. when we pump more y's.

79 A valid string in the language when we pump more y's. 1's when we pump more y's. item 3 of the pumping lemma

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81 N

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