THE UNIVERSITY OF SUSSEX
MComp THIRD YEAR EXAMINATION BSc FINAL YEAR EXAMINATION
LIMITS OF COMPUTATION G5029
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Date: 13 May 2021
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G5029 Limits of Computation
1. This question is about various notions of effective computability.
(a) Why do we not need to extend (change) the semantic function for the WHILE-language in order to interpret programs of the extended WHILE- language? [4 marks]
(b) What kind of procedure calls does the extended WHILE-language provide? Explain carefully. [4 marks]
(c) Explain the concept of indirect addressing used by the RAM computation model. Why is this needed at all? [5 marks]
(d) What can you say about the relationship between RAM-decidable and
WHILE-decidable problems about natural numbers? (e) Let the following WHILE-program myprog be as follows:
myprog read X {
Z := cons nil Z;
i. Assuming that we start counting variables from 0, give the program- as-data representation of myprog. [12 marks]
ii. Is this WHILE-program written in core WHILE or extended WHILE? [2 marks]
iii. What is myprog (n) for an arbitrary n ∈ N? Recall that n the encoding of a natural number n as data. [3 marks]
iv. What is myprog
(d) for an arbtirary d ∈ D? [2 marks]
(f) Assume c1 is a compiler from S to T written in L . Assume further c2 is a compiler from L to M written in C. What do we get if we compile c1 using c2? Be as precise as possible. [4 marks]
(g) Can we add a new instruction to the instruction set of a standard Turing Machine, such that the resulting new Turing Machines, let’s call them Turing Machines Plus, can decide more problems than the standard type of Turing Machines? Explain your answer. [5 marks]
(h) Can we remove an instruction from the definition of standard Turing Machines, such that the resulting new Turing Machines, let’s call them Turing Machines Minus, can decide fewer problems than the standard type of Turing Machines? Explain your answer. [5 marks]
Limits of Computation G5029
2. This question is about decidability and semi-decidability, and self-referencing programs.
(a) Let A ⊆ D be a problem (about binary trees). Assume there exists a WHILE-program p such that the following holds:
(d) = true if, and only if, d ∈ A.
(b) Which of the following problems are WHILE-decidable? (No explanation
What can we conclude from the above for problem A? [4 marks]
i. Halting problem
ii. Complement of the Halting problem
iii. Travelling Salesman problem
iv. Postman problem
v. Tiling problem
vi. The problem whether a natural number is a prime number
vii. The problem whether a WHILE-program (as data) has the same behaviour as the WHILE-program succ (as given in lectures).
(c) Which of the following statements about closure properties of problems (considered as subsets of D) are always true (i.e. for any A, B, An, resp.)? (No explanation needed.)
i. If A and B are both semi-decidable, their intersection, A ∩ B, is also semi-decidable.
ii. If A and B are both decidable, their union, A ∪ B, is also decidable.
iii. If A is semi-decidable, the complement of A is also semi-decidable.
iv. If A is decidable, the problem {⟨a.a⟩ ∈ D | a ∈ A} is also decidable.
v. If A is semi-decidable, the problem { l ∈ D | l is a list that contains at least one element from A } is also semi-decidable. Recall that l denotes the encoding of a list as data.
vi.IfAn isdecidableforeveryn∈N,theproblem{d∈D|d∈ An for some n ∈ N } is also decidable.
(d) Give a problem (set) that is semi-decidable but not decidable. [3 marks]
(e) What proof technique (besides proof-by-contradiction) is used in the proof that the Halting Problem is undecidable? No explanation is required. [2 marks]
(f) What proof technique (besides proof-by-contradiction) is used in the proof of Rice’s Theorem? Explain what this technique is applied to. You don’t have to explain the technique itself. [4 marks]
3 Turn over/
Limits of Computation
Explain for the following sets A ⊆ WHILE-data whether they are WHILE- decidable. For each case, explain your answer. In cases where A is decidable this explanation should consist of a description of the decision procedure. Here p denotes the encoding of a WHILE-program as WHILE-data.
i. A = { p | WHILE-program p returns nil if its input encodes a WHILE-program that contains at least two assignment
statements for the same variable } [4 marks] ii. A = { p | p contains at least two assignment statements for
the same variable } [4 marks] iii. A = { p | WHILE-program p returns nil for input nil } [4 marks]
Consider a WHILE-program p with the following property: WHILE
p (d) = p for all d ∈ D
Recall that p denotes the encoding of a WHILE-program p as data.
i. What sort of program is p referring to the specific property above? [2 marks]
ii. Explain carefully why programs with the above property are actually semantically well-defined, referencing results from the lectures. [6 marks]
iii. Explain briefly how this is related to reflection and meta-
programming.
Limits of Computation
3. This question is about complexity.
(a) Let program prog be defined as follows:
prog read X {
Y:= cons hd X Y
i. Is the WHILE-program prog above in WHILEtime(8n+5)? Explain your answer carefully. [8 marks]
ii. Assume you have two WHILE-programs p ∈ WHILEtime (n2 +13) and q ∈ WHILEtime(34n+12) that have the same semantics. Under what conditions would it be better to use one or the other? [6 marks]
(b) The Travelling Salesman problem (TSP) is NP-complete.
i. Explain what is meant by this statement. As part of your answer
explain also NP. [5 marks]
ii. Referring to TSP as specific example, explain to what extent approximation algorithms are a useful means to solve NP-complete problems (viewed as optimisation problems). [6 marks]
(c) Which of the following are true of the Cook- ? (No explanation required.)
i. It says something about the Satisfiability Problem.
ii. It is not a theorem but a thesis.
iii. It says that for polynomial decidability it does not matter which programming language we are using, as long as it is as powerful as Turing machines.
iv. ItsaystheTravellingSalesmanProblemisofexponentialcomplexity.
v. It says that a certain problem is NP-complete.
(d) Which of the following problems are known to be NP-complete?
i. 0-1 Knapsack problem
ii. Complement of the Halting problem
iii. Graph Colouring problem iv. Tiling problem
v. Postman problem
vi. Factorisation Problem
5 Turn over/
Limits of Computation
In the following give a rough description of how you would prove the statement in question. You do not have to give a proof, but you are supposed to sketch the required plan, i.e. which activity you would need to carry out and/or which theorems you would use in which way. Be as precise as possible.
i. For some fixed problem A: how would you establish that A is in LINWHILE? [4 marks]
ii. For some fixed problem A: how would you establish that A can’t
possibly be in PWHILE unless PWHILE = NPWHILE? Consider the statement BQP = NP.
i. Explain what this statement means.
ii. What do we know about the validity of this statement?
[3 marks] [2 marks]
6 End of Paper
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