
- Automata Theory - Applications
- Automata Terminology
- Basics of String in Automata
- Set Theory for Automata
- Finite Sets and Infinite Sets
- Algebraic Operations on Sets
- Relations Sets in Automata Theory
- Graph and Tree in Automata Theory
- Transition Table in Automata
- What is Queue Automata?
- Compound Finite Automata
- Complementation Process in DFA
- Closure Properties in Automata
- Concatenation Process in DFA
- Language and Grammars
- Language and Grammar
- Grammars in Theory of Computation
- Language Generated by a Grammar
- Chomsky Classification of Grammars
- Context-Sensitive Languages
- Finite Automata
- What is Finite Automata?
- Finite Automata Types
- Applications of Finite Automata
- Limitations of Finite Automata
- Two-way Deterministic Finite Automata
- Deterministic Finite Automaton (DFA)
- Non-deterministic Finite Automaton (NFA)
- NDFA to DFA Conversion
- Equivalence of NFA and DFA
- Dead State in Finite Automata
- Minimization of DFA
- Automata Moore Machine
- Automata Mealy Machine
- Moore vs Mealy Machines
- Moore to Mealy Machine
- Mealy to Moore Machine
- Myhill–Nerode Theorem
- Mealy Machine for 1’s Complement
- Finite Automata Exercises
- Complement of DFA
- Regular Expressions
- Regular Expression in Automata
- Regular Expression Identities
- Applications of Regular Expression
- Regular Expressions vs Regular Grammar
- Kleene Closure in Automata
- Arden’s Theorem in Automata
- Convert Regular Expression to Finite Automata
- Conversion of Regular Expression to DFA
- Equivalence of Two Finite Automata
- Equivalence of Two Regular Expressions
- Convert Regular Expression to Regular Grammar
- Convert Regular Grammar to Finite Automata
- Pumping Lemma in Theory of Computation
- Pumping Lemma for Regular Grammar
- Pumping Lemma for Regular Expression
- Pumping Lemma for Regular Languages
- Applications of Pumping Lemma
- Closure Properties of Regular Set
- Closure Properties of Regular Language
- Decision Problems for Regular Languages
- Decision Problems for Automata and Grammars
- Conversion of Epsilon-NFA to DFA
- Regular Sets in Theory of Computation
- Context-Free Grammars
- Context-Free Grammars (CFG)
- Derivation Tree
- Parse Tree
- Ambiguity in Context-Free Grammar
- CFG vs Regular Grammar
- Applications of Context-Free Grammar
- Left Recursion and Left Factoring
- Closure Properties of Context Free Languages
- Simplifying Context Free Grammars
- Removal of Useless Symbols in CFG
- Removal Unit Production in CFG
- Removal of Null Productions in CFG
- Linear Grammar
- Chomsky Normal Form (CNF)
- Greibach Normal Form (GNF)
- Pumping Lemma for Context-Free Grammars
- Decision Problems of CFG
- Pushdown Automata
- Pushdown Automata (PDA)
- Pushdown Automata Acceptance
- Deterministic Pushdown Automata
- Non-deterministic Pushdown Automata
- Construction of PDA from CFG
- CFG Equivalent to PDA Conversion
- Pushdown Automata Graphical Notation
- Pushdown Automata and Parsing
- Two-stack Pushdown Automata
- Turing Machines
- Basics of Turing Machine (TM)
- Representation of Turing Machine
- Examples of Turing Machine
- Turing Machine Accepted Languages
- Variations of Turing Machine
- Multi-tape Turing Machine
- Multi-head Turing Machine
- Multitrack Turing Machine
- Non-Deterministic Turing Machine
- Semi-Infinite Tape Turing Machine
- K-dimensional Turing Machine
- Enumerator Turing Machine
- Universal Turing Machine
- Restricted Turing Machine
- Convert Regular Expression to Turing Machine
- Two-stack PDA and Turing Machine
- Turing Machine as Integer Function
- Post–Turing Machine
- Turing Machine for Addition
- Turing Machine for Copying Data
- Turing Machine as Comparator
- Turing Machine for Multiplication
- Turing Machine for Subtraction
- Modifications to Standard Turing Machine
- Linear-Bounded Automata (LBA)
- Church's Thesis for Turing Machine
- Recursively Enumerable Language
- Computability & Undecidability
- Turing Language Decidability
- Undecidable Languages
- Turing Machine and Grammar
- Kuroda Normal Form
- Converting Grammar to Kuroda Normal Form
- Decidability
- Undecidability
- Reducibility
- Halting Problem
- Turing Machine Halting Problem
- Rice's Theorem in Theory of Computation
- Post’s Correspondence Problem (PCP)
- Types of Functions
- Recursive Functions
- Injective Functions
- Surjective Function
- Bijective Function
- Partial Recursive Function
- Total Recursive Function
- Primitive Recursive Function
- μ Recursive Function
- Ackermann’s Function
- Russell’s Paradox
- Gödel Numbering
- Recursive Enumerations
- Kleene's Theorem
- Kleene's Recursion Theorem
- Advanced Concepts
- Matrix Grammars
- Probabilistic Finite Automata
- Cellular Automata
- Reduction of CFG
- Reduction Theorem
- Regular expression to ∈-NFA
- Quotient Operation
- Parikh’s Theorem
- Ladner’s Theorem
CFG Simplification
In a CFG, it may happen that all the production rules and symbols are not needed for the derivation of strings. Besides, there may be some null productions and unit productions. Elimination of these productions and symbols is called simplification of CFGs. Simplification essentially comprises of the following steps −
- Reduction of CFG
- Removal of Unit Productions
- Removal of Null Productions
Reduction of CFG
CFGs are reduced in two phases −
Phase 1 − Derivation of an equivalent grammar, G, from the CFG, G, such that each variable derives some terminal string.
Derivation Procedure −
Step 1 − Include all symbols, W1, that derive some terminal and initialize i=1.
Step 2 − Include all symbols, Wi+1, that derive Wi.
Step 3 − Increment i and repeat Step 2, until Wi+1 = Wi.
Step 4 − Include all production rules that have Wi in it.
Phase 2 − Derivation of an equivalent grammar, G, from the CFG, G, such that each symbol appears in a sentential form.
Derivation Procedure −
Step 1 − Include the start symbol in Y1 and initialize i = 1.
Step 2 − Include all symbols, Yi+1, that can be derived from Yi and include all production rules that have been applied.
Step 3 − Increment i and repeat Step 2, until Yi+1 = Yi.
Problem
Find a reduced grammar equivalent to the grammar G, having production rules, P: S → AC | B, A → a, C → c | BC, E → aA | e
Solution
Phase 1 −
T = { a, c, e }
W1 = { A, C, E } from rules A → a, C → c and E → aA
W2 = { A, C, E } U { S } from rule S → AC
W3 = { A, C, E, S } U ∅
Since W2 = W3, we can derive G as −
G = { { A, C, E, S }, { a, c, e }, P, {S}}
where P: S → AC, A → a, C → c , E → aA | e
Phase 2 −
Y1 = { S }
Y2 = { S, A, C } from rule S → AC
Y3 = { S, A, C, a, c } from rules A → a and C → c
Y4 = { S, A, C, a, c }
Since Y3 = Y4, we can derive G as −
G = { { A, C, S }, { a, c }, P, {S}}
where P: S → AC, A → a, C → c
Removal of Unit Productions
Any production rule in the form A → B where A, B ∈ Non-terminal is called unit production..
Removal Procedure −
Step 1 − To remove A → B, add production A → x to the grammar rule whenever B → x occurs in the grammar. [x ∈ Terminal, x can be Null]
Step 2 − Delete A → B from the grammar.
Step 3 − Repeat from step 1 until all unit productions are removed.
Problem
Remove unit production from the following −
S → XY, X → a, Y → Z | b, Z → M, M → N, N → a
Solution −
There are 3 unit productions in the grammar −
Y → Z, Z → M, and M → N
At first, we will remove M → N.
As N → a, we add M → a, and M → N is removed.
The production set becomes
S → XY, X → a, Y → Z | b, Z → M, M → a, N → a
Now we will remove Z → M.
As M → a, we add Z→ a, and Z → M is removed.
The production set becomes
S → XY, X → a, Y → Z | b, Z → a, M → a, N → a
Now we will remove Y → Z.
As Z → a, we add Y→ a, and Y → Z is removed.
The production set becomes
S → XY, X → a, Y → a | b, Z → a, M → a, N → a
Now Z, M, and N are unreachable, hence we can remove those.
The final CFG is unit production free −
S → XY, X → a, Y → a | b
Removal of Null Productions
In a CFG, a non-terminal symbol A is a nullable variable if there is a production A → ε or there is a derivation that starts at A and finally ends up with
ε: A → ....... → ε
Removal Procedure
Step 1 − Find out nullable non-terminal variables which derive ε.
Step 2 − For each production A → a, construct all productions A → x where x is obtained from a by removing one or multiple non-terminals from Step 1.
Step 3 − Combine the original productions with the result of step 2 and remove ε - productions.
Problem
Remove null production from the following −
S → ASA | aB | b, A → B, B → b | ∈
Solution −
There are two nullable variables − A and B
At first, we will remove B → ε.
After removing B → ε, the production set becomes −
S→ASA | aB | b | a, A ε B| b | &epsilon, B → b
Now we will remove A → ε.
After removing A → ε, the production set becomes −
S→ASA | aB | b | a | SA | AS | S, A → B| b, B → b
This is the final production set without null transition.