General comment. The main purpose of most homeworks is to show how well you understand the algorithms.

In many cases, the resulting finite automata, pushdown automata, and Turing machines can be simplified, but please first literally apply the algorithm so that we know that you can use it.

If in addition to this, you also show how to make the corresponding Turing machine or finite automaton or whatever more concise, nothing wrong with that, the TA may even give you some extra points (if he/she has time to grade these additional things). But the most important thing is to show that you can follow the algorithm.

For simple examples that we give you as homeworks:

• you may immediately see how to convert, e.g., a context-free grammar into a Chomsky normal form,
• but if someone gives you a more complex case, you will have to use the algorithm.

If you deviate from the algorithm, how do we know that you learned the algorithms? It was the same with sorting.

• Of course, if someone gives you a list of 4 numbers on the test, you can sort them yourself easily.
• The purpose of the question was that you show that you understand mergesort, quicksort etc., not that you sort 4 numbers.

• If after you show that you understand the algorithm you also provide a simpler answer -- great,
• but not instead of following the algorithm.

1. (Due September 5) In class, we designed automata for recognizing integers and real numbers.

1.1. Use the same ideas to describe an automaton for the state of a student's knowledge of a topic. In the beginning, the students does not know anything about the topic (D), then after attending a lecture (a), he/she becomes somewhat knowledgeable (S), and finally, after solving the corresponding homework problem (h), the student becomes fully knowledgeable (K). In this case, we have three states:

• the starting state D,
• the state S, and
• the final state K.

• from D, letter a leads to S, while h keeps you in D (if you did not attend the class, you do not know how to solve the homework problem);
• from S, letter a keeps you in S, while h leads you to K;
• from K, both a and h keep you back in K.

1.2. Trace, step-by-step, how the finite automaton from Part 1.1 will check whether the following two words (sequences of symbols) lead to the final state:

• the word hah (which this automaton should accept) and
• the word hh (which this automaton should reject).

1.3. Write down the tuple <Q, Σ, δ, q₀, F> corresponding to the automaton from Part 1.1:

• Q is the set of all the states,
• Σ is the alphabet, i.e., the set of all the symbols that this automaton can encounter; for simplicity, consider only two symbols: u and d;
• δ: Q x Σ → Q is the function that describes, for each state q and for each symbol s, the state δ(q,s) to which the automaton that was originally in the state q moves when it sees the symbol s (you do not need to describe all possible transitions this way, just describe two of them);
• q₀ is the starting state, and
• F is the set of all final states.

1.4. For each automaton A, let L_A denote the language of all the words accepted by this automaton, i.e., of all the words for which this automaton ends up in a final state. In class, we learned a general algorithm that:

• given two automata A and B that correspond to languages L_A and L_B,
• constructs two new automata for recognizing, correspondingly, the union and intersection of languages L_A and L_B.

• the automaton from Part 1.1 as Automaton A, and
• an automaton for words that include letter h as Automaton B.

• the start state S meaning we have not yet seen letter h, and
• the state H meaning that we have already seen the letter h.

• from S, letter a leads back to S, and h leads to H;
• from H, every symbol leads back to H.

Solutions to Homework 1

2. (Due September 5 for extra credit, due September 11 for full credit)

• Use the general algorithm that we learned in class to design a non-deterministic finite automaton that recognizes the language a*h(a U h)* of all the words that include h.
  • a and h are languages consisting of only one 1-symbol word each: a is a language consisting of a single 1-symbol word a; h is a language consisting of a single 1-symbol word h;
  • for any two languages C and D, the notation CD means concatenation;
• transform the resulting non-deterministic finite automaton into a deterministic one.

Solutions to Homework 2

3. (Due September 11) Apply the general algorithm for transforming the finite automaton into a regular language (i.e., a language described by a regular expression) to Automaton B from Problem 1.4.

Solutions to Homework 3

4. (Due September 11) Prove that the language L of all the sequences that have exactly the same numbers of a's and h's is not regular. For example, the word haha is in the language L, while the word ahh is not in L.

Solutions to Homework 4

5. (Due September 11) Write and test a method that simulates a general finite automaton. Your program should enable the computer to simulate any given finite automaton and then to simulate, for any given word, step-by-step, how this automaton decides whether this word is accepted by the automaton.

The input to this method should include the full description of the corresponding finite automaton:

• the number N of states; these states are q₀, ..., q_{N − 1}; we assume that q₀ is the start state; for simplicity, we describe the states by the corresponding integers 0, ..., N;
• the number M of symbols; these symbols are s₀, ... s_{M − 1}; for simplicity, we describe the symbols by the corresponding integers 0, ..., M;
• an integer array state[n][m] whose elements describe to what state the finite automaton moves if it was in the state q_n and sees the symbol s_m; and
• a boolean array final[n] whose elements describe, for each state q_n, whether this state is final or not.

For this and other programming assignments, turn in the actual code and the printout of the result of testing this code.

6. (Due September 18) Show, step by step, how the word haha is accepted by the following pushdown automaton that accepts all the words that have equal number of a's and h's (could be none). This pushdown automaton has 5 states:

• the starting state S,
• the state E (for "equal") indicating that so far we had equal number of a's and h's,
• the state A indicating that so far, we had more a's than h's;
• the state H indicating that so far, we had more h's than a's; and
• the final state F.

In the stack, in addition to the bottom symbol $, we have:

• either one or several a's -- indicating the difference between the number of a's and h's minus 1,
• or one or several h's -- indicating the difference between the number of h's and a's minus 1.

• From S to E, the transition is ε, ε → $.
• From E to A, the transition is: a, ε → ε.
• From A to E, the transition is: h, $ → $.
• From E to H, the transition is: h, ε → ε.
• From H to E, the transition is: a, $ → $.
• From E to F, the transition is: ε, $ → ε.
• From H to H, we have two transitions: h, ε → h and a, h → ε.
• From A to A, we have two transitions: a, ε → a and h, a → ε.

Solutions to Homework 6

7. (Due September 18) Let M describes money, D describe dollars, P describe pesos, d indicate one dollar, and p indicated one peso. Then, we naturally have the following rules:

• M → MM
• M → D
• M → P
• D → d
• P → p

Solutions to Homework 7

8. (Due September 18) In the corresponding lecture, we described an algorithm that, given a finite automaton, produces a context-free grammar -- a grammar that generate a word if and only if this word is accepted by the given automaton.

• On the example of the automaton B from Homework 1.4, show how this algorithm will generate the corresponding context-free grammar.
• On the example of the word haha accepted by this automaton, show how the tracing of acceptance of this word by the finite automaton can be translated into a generation of this same word by your context-free grammar.

Solutions to Homework 8

9. (Due September 18) Use a general algorithm to construct a (non-deterministic) pushdown automaton that corresponds to context-free grammar described in Problem 7. Show, step by step, how the expression ddp will be accepted by this automaton.

Solutions to Homework 9

10. (Due September 30) Transform the grammar from Homework 7 into Chomsky normal form.

Solutions to Homework 10

11. (Due October 9) Use the general algorithm to transform the pushdown automaton from Problem 6 into a context-free grammar. Before doing this, you need to replace each transition in which you pop and push with two transitions in which you first pop, and then push. Show, step-by-step, how the resulting grammar will generate the word ah.

Solutions to Homework 11

12. (Due October 9) For the grammar described in Homework 7, show how the expression ddp can be represented as uvxyz in accordance with the pumping lemma for context-free grammars. Show that the corresponding word uvvxyyz will be generated by this grammar.

Solutions to Homework 12

13. (Due October 9) A perfect arrangement would be for a student to attend all the lectures (a), to do all the homeworks (h), and take all the tests (t). In a class, there are usually 10 times more lectures than tests, and 5 times more homeworks than tests. Show that the language of all the words that have 10 times more a's then t's and 5 times more h's than t's is not context-free.

Solutions to Homework 13

14. (Due October 23) Show, step by step, how the stack-based algorithm will transform the expression (1 + 2) * (5 − 2) into a postfix expression, and then how a second stack-based algorithm will compute the value of this postfix expression.

Solutions to Homework 14

15. (Due October 23) Write a program that, given an arithmetic expression,

• first transforms it to a postfix form, and then
• computes its value (by using the stack-based algorithms that we recalled in class).

Comments:

• as with all programming assignments for this class, submit a file containing the code, and a file containing an example of what this program generates on each step;
• ideally, use Java, but if you want to write it in some other programming language, check with the TA that it is OK; usually, C or C++ are OK.

16. (Due October 30) Design a Turing machine that, given a binary number n which is larger than or equal to 2, subtracts 2 from this number. Test it, step-by-step, on the example of n = 5 -- which is 101 in binary.

Solutions to Homework 16

17. (Due October 30) Design a Turing machine that, given a unary number n, adds 4 to this number. Test it, step-by-step, on the example of n = 1.

Solutions to Homework 17

18. (Due October 30) Use the general algorithm to transform a finite automaton B from Homework 1.4 into a Turing machine. Show step-by-step, on an example of a word ah, how this word will be processed by your Turing machine.

Solutions to Homework 18

19. (Due October 30) As described in the corresponding lecture, every grammar obtained from a finite automaton is LL(1). For the grammar from Homework 8, build the corresponding table. Use this table to check whether the word ah can be derived in this grammar.

Solutions to Homework 19

20. (Due November 6) As we discussed in the corresponding lecture, a Turing machine can be described as a finite automaton with two stacks:

• the right stack contains, on top, the symbol to which the head points; below is the next symbol to the right, then the next to next symbol to the right, etc.;
• the left stack contains, on top, the symbol directly to the left of the head (if there is a one), under it is the next symbol to the left, etc.

• how each state of the corresponding Turing machine can be represented in terms of two stacks, and
• how each transition from one state to another can be implemented by push and pop operations.

Solutions to Homework 20

21. (Due November 6) Write and test a method that simulates a general Turing machine. Your program should enable the computer to simulate any given Turing machine for accepting-rejecting and then to simulate, for any given word, step-by-step, how this Turing machine decides whether this word is accepted or not.

The input to this method should include:

• the number N of states q₀, ..., q_{N − 1}; we assume that q₀ is the start state, that the last-but-one state q_{N − 2} is the accept state, and the last state q_{N − 1} is the reject state;
• the number M of symbols s₀, ... s_{M − 1}; we assume that s₀ is the blank state _;
• an integer array state[n][m] that describes to what state the head of the Turing machine changes if it was in the state q_n and sees the symbol s_m;
• an integer array symbol[n][m] that describes what symbol should be on the tape after the head in the state q_n sees the symbol s_m (it may be the same symbol as before, or it may be some other symbol written by the Turing machine);
• a character array lr[n][m] that describes, for each state q_n and for each symbol s_m, whether the head moves to the left (L), or to the right (R), or stays in place (blank symbol);
• the integer array of a large size describing the original contents of the tape, i.e., what symbols are written in each cell.

Your program should simulate the work of the Turing machine step-by-step. Return the printout of the method, the printout of the program that you used to test this method, and the printout of the result of this testing. Feel free to use Java, C, C++, Fortran, or any programming language in which the code is understandable.

22. (Due November 6) Give two examples:

• an example of computation time which makes an algorithm feasible according to the formal definition but not practically feasible, and
• an example of computation time for which the corresponding algorithm is practically feasible, but not feasible according to the formal definition.

Solutions to Homework 22

23. (Due November 13) What is NP? What is P? What is NP-complete? What is NP-hard? Give brief definitions. Give an example of an NP-complete problem. Is P equal to NP?

Solutions to Homework 23

24. (Due November 13) Prove that the cubic root of 54 is not a rational number.

Solutions to Homework 24