
- 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
Pumping Lemma in Theory of Computation
In automata theory, we have gained a basic understanding on context free grammar and a little detailed understanding on regular grammar so far. There is another context to check if a certain language is regular or context free or not, we can use the concept of Pumping Lemma. It is a fundamental concept in formal languages and automata theory. This chapter provides a basic overview of the Pumping Lemma, its significance, and how it applies to regular and context-free languages.
What is Pumping Lemma?
Pumping Lemma is a property of regular and context-free languages. It states that for any language in these classes, there exists a length such that any string longer than this length can be "pumped." It means that the parts of the string can be repeated, and the resulting string will still belong to the same language.
Importance of the Pumping Lemma
We have seen the basic idea, but why we need this thing in automata theory?
- Language Classification − it helps in distinguishing between regular and non-regular languages and context-free and non-context-free languages.
- Proof Tool − It is used to prove that certain languages do not belong to the regular or context-free class.
- Understanding Language Structure − It gives insights into the repetitive structure of languages.
We already mentioned that the pumping lemma are used for regular languages as well as context free languages. So let us see these two aspects in very basic form.
Pumping Lemma for Regular Languages
Regular languages are those that can be represented by finite automata. The Pumping Lemma for regular languages states −
For any regular language L, there exists a length p (pumping length) such that any string s in L with length at least p can be divided into three parts, s = xyz, satisfying the following conditions −
- The length of xy is at most p.
- The length of y is at least 1 (y is not empty).
- For all i ≥ 0, the string xyi z is in L.
How to Use Pumping Lemma for Regular Languages?
Follow the steps given below −
- Assume L is regular − Start by assuming the language L is regular.
- Find a string s in L − Choose a string s from L that is at least as long as the pumping length p.
- Divide s into x, y, and z − Split the string s into three parts.
- Check conditions − Verify if the conditions of the Pumping Lemma hold.
- Find a contradiction − If you can find an i such that xyi z is not in L, then L is not regular.
Pumping Lemma for Context-Free Languages
Context-free languages are those that can be generated by context-free grammars, and accepted by push down automata. The Pumping Lemma for context-free languages states −
For any context-free language L, there exists a length p (pumping length) such that any string s in L with length at least p can be divided into five parts, , satisfying the following conditions:
- The length of vwx is at most p.
- The length of vx is at least 1 (either v or x is not empty).
- For all i ≥ 0, the string uvi wxi y is in L.
How to Use Pumping Lemma for Context-Free Languages?
Follow the steps given below −
- Assume L is context-free − Start by assuming the language L is context-free.
- Find a string s in L − Choose a string s from L that is at least as long as the pumping length p.
- Divide s into u, v, w, x, and y − Split the string s into five parts.
- Check conditions − Verify if the conditions of the Pumping Lemma hold.
- Find a contradiction − If you can find an i such that uvi wxi y is not in L, then L is not context-free.
Conclusion
In this chapter, we explained the basic concepts of pumping lemma in regular and context free languages. Pumping Lemma is a powerful tool in automata theory that helps in understanding the limitations of regular and context-free languages.
By using the Pumping Lemma, we can prove that certain languages do not belong to these classes. This knowledge is essential for the study of formal languages and computational theory.