THEORY EXAMINATION (SEM–IV) 2016-17 THEORY OF COMPUTATION
B.Tech
Computer Science
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Course: B.Tech (Computer Science & Engineering) Subject Code: CS404 Subject Title:Theory of Computation Exam Type: Theory Duration: 3 Hours Maximum Marks: 100
SECTION – A (10 × 2 = 20 Marks)
Short conceptual questions testing key principles of automata theory
No.
Question
Explanation
(a)
Design DFA for even number of a’s and even number of b’s
Create 4 states representing combinations of even/odd counts of ‘a’ and ‘b’. Accept if both counts are even.
(b)
Identify language accepted by given DFA
Analyze final states and transitions — likely represents pattern-based regular language (e.g., strings ending with “ab” or containing even number of symbols).
(c)
Pumping Lemma Theorem
For any regular language L, ∃p ≥ 1 (pumping length) such that any string w in L with
(d)
Convert FA to Left Linear Grammar
Each state = non-terminal; transitions define productions. Final states → ε-productions.
(e)
Ambiguity Check of Grammar (R → R+R / RR / R* / a / b / c)
The grammar generates arithmetic expressions; it’s ambiguous as the same expression (like a+b*c) has multiple parse trees.
(f)
Strings from Grammar (S→aB/bA; A→a/aS/bAA; B→b/bS/aBB)
Generates combinations of ‘a’ and ‘b’ with nested recursions, e.g., aab, abb, bba, etc.
(g)
Define PDA and draw diagram
PDA = 7-tuple (Q, Σ, Γ, δ, q₀, Z₀, F) with stack operations; used for context-free languages.
(h)
PDA for Balanced Parentheses
Push ‘(’ and pop for ‘)’. Accept when stack empty at end of input.
(i)
Eliminate Unit Productions
Replace A→B with A→productions of B. Example: S→A/bb, A→B/b, B→S/a → simplified grammar without single non-terminal transitions.
(j)
Checking-off Symbols in TM
Symbols used by a Turing machine to mark already-processed input symbols during computation (e.g., replacing ‘1’ with ‘X’ after reading).
SECTION – B (5 × 10 = 50 Marks)
Medium-length analytical questions testing automata transformation and proofs
(a)
(i) Convert NFA–ε to DFA (ii) Check equivalence of two FA using comparison method (see diagrams on page 2). → Uses subset construction and state minimization techniques.
(b)Closure Properties of Regular Languages
Regular languages are closed under:
Union, Intersection, Complement
Concatenation, Kleene Star
Homomorphism and Inverse Homomorphism Proof: Construct FA for each operation or use regular expressions to demonstrate closure.
(c)Kleene’s Theorem
Establishes equivalence between:
Regular Expressions
Finite Automata
Regular Languages Example: Conversion DFA → Regular Expression using Arden’s Theorem.
(d)Grammar Derivation Example
Given S → aSS, A → b, derive aababbb using leftmost and rightmost derivations and draw the parse tree. Demonstrates CFG production sequences and structural parsing.
(e)
(i) Check if L = {xⁿyⁿzⁿ | n ≥ 1} is context-free → Not context-free (proved via Pumping Lemma for CFLs). (ii) Construct PDA for L = {wwᴿ | w ∈ (a+b)*} → Push first half of string on stack, pop while matching reverse.
(f)CFG → CNF Conversion
Eliminate ε-productions, unit productions, and useless symbols.
Ensure RHS ≤ 2 non-terminals. Example:
S → XY | Xn | p
X → mX | m
Y → Xn | o
and
S → ASA | aB
A → B | S
B → b | ε
(g)Turing Machine for Odd Number of α’s
TM reads input, toggles a parity flag for each α, and accepts if it ends in the “odd” state.
(h)Halting Problem Proof
No algorithm can universally determine whether a TM halts on a given input. Proof by contradiction using diagonalization (similar to Cantor’s proof for uncountability).
SECTION – C (2 × 15 = 30 Marks)
Long analytical problems with diagrams and derivations
Q3 (a) Minimize DFA
(See diagram on page 3) Apply equivalence partitioning:
Partition states into final/non-final sets.
Iteratively refine until all distinguishable states are separated.
Redraw minimized DFA.
Q3 (b) Convert NFA to DFA via ε-closure
Compute ε-closure for each state and apply subset construction to generate equivalent deterministic automaton.
Q4. PDA Construction
(a) For L={0n1n∣n>0}L = \{0^n1^n | n > 0\}L={0n1n∣n>0}: → Push 0’s onto stack, pop one for each 1, and accept if stack empty. (b) From CFG:
S→XS∣ε,A→aXb∣Ab∣abS → XS | ε, \quad A → aXb | Ab | abS→XS∣ε,A→aXb∣Ab∣ab
→ Construct equivalent PDA using grammar-to-PDA transition rules.
Q5.
(a) Single Tape vs Multi-Tape Turing Machine Single-tape TM can simulate multi-tape TM by encoding multiple tape contents with special delimiters. (b) Design TM for Odd Number of α’s Define states q₀ (even) and q₁ (odd). Toggle state for each α. Accept if in q₁.
Summary Table
Concept
Key Idea
Automata
DFA, NFA, ε-NFA conversions, minimization
Regular Languages
Regular expressions, closure, pumping lemma
CFG & PDA
Conversion, derivations, ambiguity, CNF
Turing Machines
Design, simulation, and undecidability
Computation Theory
Halting problem, recursive languages
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