Automata
Homeworks for the
course CS 3350, Fall 2022
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 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.
So, it is
important to learn how to follow 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.
In general: - 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 1) In class, we designed automata for
recognizing integers and real numbers.
1.1. Use the same ideas to describe an automaton for recognizing
people's names. A general name should start with a capital (=
uppercase) letter, all other letters should be small (= lowercase).
A natural idea is to have 3 states: start (s), correct name (n),
and error (e). Start is the starting state, n is the only final
state. The transitions are as follows:
- from s, any
capital letter A, ..., Z lead to n, every other symbol leads to e;
- from n, any small letter a, ..., z leads back to n, every
other symbol leads to e;
- from e, every symbol leads back to
e.
1.2. Trace, step-by-step, how the finite automaton from Part 1.1
will check whether the following two words (sequences of symbols)
are correct names:
- the word Luc (which this automaton
should accept) and
- the word LUC (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 three symbols: 1 and letters a and A;
- 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. Apply the general algorithm for union and intersection of two
automata A and B to:
- the automaton from
Part 1.1 as Automaton A, and
- an automaton for
recognizing Java names for classes as Automaton B.
In
Java, a name for a class should start with a capital letter, all
other symbols can be letters (small or capital), digits, or an
underscore symbol. A natural idea is to also have 3 states: start
(s), correct class name (c), and error (e). Start is the starting
state, c is the only final state. The transitions are as follows:
- from s, any capital letter A, ..., Z lead to c, every
other symbol leads to e;
- from c, any small letter a, ..., z,
digit, or underscore leads back to c, every other symbol leads to
e;
- from e, every symbol leads back to e.
For simplicity,
in your automaton for recognizing the union and intersection of the
two languages, feel free to assume that you only have symbols a, A,
and 1.
Solutions to Homework 1
2. (Due September 1)
- Use the general algorithm
that we learned in class to design a non-deterministic finite
automaton that recognizes the language A(a U A)* describing all
Java class names consisting of letter a; reminder:
- A and
a are languages consisting of only one 1-symbol word each: A is a
language consisting of a single 1-symbol word A; a is a language
consisting of a single 1-symbol word a;
- for any two languages
C and D, the notation CD means concatenation;
- transform
the resulting non-deterministic finite automaton into a
deterministic one.
Solution to Homework 2
3. (Due September 8) Apply the general algorithm for
transforming the finite automaton into a regular language (i.e., a
language described by a regular expression) to Automaton from
Problem 1.1. For simplicity, assume that we only have symbols A, a,
and 1. Eliminate first the error state, then the start state, and
finally, the state n.
Solution to Homework 3
4. (Due September 8) A balanced budget means:
- that
you only spend money that you earn and
- that at the end, you
will spend all the money you earned.
We can describe each
budget by a sequence of symbols s (meaning spending a dollar) and e
(meaning earning a dollar). For example: - the sequence
eeesesss is balanced but
- the sequence esseseee is not
balanced, since according to this sequence, after earning 1 dollar
we intend to spend two dollars -- and we only have one dollar
earned so far.
Prove that the language of all the words that
correspond to a balanced budget is not regular.
Solution to Homework 4
5. (Due September 15) 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, ..., qN − 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, ...
sM − 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 qn and sees the
symbol sm; and
- a boolean array final[n] whose
elements describe, for each state qn, whether this state
is final or not.
When simulating a finite automaton, your
program needs to keep track, at each moment of time, of the current
state. Initially, the state is q0 -- which is described
by number 0.
Turn in:
- a file containing the code of the method,
- a
file containing the code of the program that you used to test this
method, and
- a file containing the result of this testing.
Feel free to use Java, C, C++, Fortran, or any programming
language in which the code is understandable.
6. (Due September 15) Show, step by step, how the following
pushdown automaton -- that checks whether a word consisting of
letters e and s corresponds to a balanced budget -- will accept the
word eses. This pushdown automaton has three states:
- the
starting state s,
- the state b meaning that so far, we have
earned at least as much as we spent, and
- the final state f.
The transitions are as follows: - From s to b, the
transition is ε, ε → $;
- From b to b, the
transitions are: e, ε → d and s, d → ε.
- From b to f, the transition is: ε, $ → ε.
Solution to Homework 6
7. (Due September 15) Show, step by step, how the following
grammar describing binary integers will generate the integer +110.
In this grammar, I stands for integer, U for unsigned integer, and
D for digit. The rules are: I → +U, I → −U, I
→ U, U → DU, U → D, D → 0, and D → 1.
Solution to Homework 7
8. (Due September 15) 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 from Homework 1.1, show how this algorithm
will generate the corresponding context-free grammar. Similarly to
Homework 3, assume that we only have symbols A, a, and 1.
- On
the example of the word Aaa 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.
Solution to Homework 8
9. (Due September 15) 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 word +110 will be accepted by this automaton.
Solution to Homework 9
10. (Due September 22) Transform the grammar from Homework 7
into Chomsky normal form.
Solution to Homework 10
11. (Due October 6) Use the general algorithm to transform
the pushdown automaton from Problem 6 into a context-free grammar.
Show, step-by-step, how the resulting grammar will generate the
word eses.
Solution to Homework 11
12. (Due October 6) For the grammar described in Homework
7, show how the word +110 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.
Solution to Homework 12
13. (Due October 6) Prove that the language consisting of
all the digit sequences that have equal numbers of 0s, 1s, 2s, and
3s is not context-free. For example, the sequences 0123, 3210, and
01233210 are in this language.
Solution to Homework 13
14. (Due October 13) Show, step by step, how the stack-based
algorithm will transform the expression (3 + 1) * (1 − 3)
into a postfix expression, and then how a second stack-based
algorithm will compute the value of this postfix expression.
Solution to Homework 14
15. (Due October 20) Design a Turing machine that, given a
positive unary number n ≥ 2, subtracts 2 from this number. Test
it, step-by-step, on the example of n = 3.
Solution to Homework 15
16. (Due October 20) Design a Turing machine that, given a
positive binary number n, adds 16 to this number. Test it,
step-by-step, on the example of n = 3.
Solution to Homework 16
17. (Due October 20) Use the general algorithm to transform
a finite automaton from Homework 1.1 -- as simplified in Homework
3, into a Turing machine. Show step-by-step, on an example of a
word Aaa, how this word will be processed by your Turing
machine.
Solution to Homework 17
18. (Due October 20) 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).
You can assume that
all the numbers in the arithmetic expression are one-digit numbers,
i.e., each of these numbers is either 0, or 1, or 2, ..., or 9. For
example, your program should correctly process expressions like
2+3*4, but there is no need to process expressions like 11+22. For
simplicity, assume that the only arithmetic operations are addition
+, subtraction −, and multiplication *.
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.
19. (Due November 3) 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.
Solution to Homework 19
20. (Due November 3) As we discussed in the corresponding
lecture, a Turing machine can be described as a finite automata
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.
On the example a Turing machine that computes n + 2 for a
binary number n = 3, show, step-by-step: - 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.
Solution to Homework 20
21. (Due November 10) 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, ..., qN − 1; we assume that
q0 is the start state, that the last-but-one state
qN − 2 is the accept state, and the last state
qN − 1 is the reject state;
- the number M of
symbols s0, ... sM − 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 qn and sees the
symbol sm;
- an integer array symbol[n][m] that
describes what symbol should be on the tape after the head in the
state qn sees the symbol sm (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 qn and for each symbol
sm, 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.
This program needs to
keep track of a current location of the head. Initially, this
location is 0.
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 10) 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.
These examples should be different from what you
learned in class -- a minor difference is OK.
Solution to Homework 22
23. (Due November 10) 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?
Solution to Homework 23
24. (Due November 17) Prove that the cubic root of 24 is not
a rational number.
Solution to Homework 24