THEORY EXAMINATION (SEM–IV) 2016-17 THEORY OF COMPUTATION

B.Tech Computer Science 0 downloads
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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.QuestionExplanation
(a)Design DFA for even number of a’s and even number of b’sCreate 4 states representing combinations of even/odd counts of ‘a’ and ‘b’. Accept if both counts are even.
(b)Identify language accepted by given DFAAnalyze 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 TheoremFor any regular language L, ∃p ≥ 1 (pumping length) such that any string w in L with
(d)Convert FA to Left Linear GrammarEach 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 diagramPDA = 7-tuple (Q, Σ, Γ, δ, q₀, Z₀, F) with stack operations; used for context-free languages.
(h)PDA for Balanced ParenthesesPush ‘(’ and pop for ‘)’. Accept when stack empty at end of input.
(i)Eliminate Unit ProductionsReplace 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 TMSymbols 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

ConceptKey Idea
AutomataDFA, NFA, ε-NFA conversions, minimization
Regular LanguagesRegular expressions, closure, pumping lemma
CFG & PDAConversion, derivations, ambiguity, CNF
Turing MachinesDesign, simulation, and undecidability
Computation TheoryHalting problem, recursive languages
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