
- 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
Closure Properties in Automata Theory
In automata theory, the closure properties play a great role, in language theory and language classes. In this chapter, we will cover them in detail. First we will explain the closure properties, then the idea of applied operations and their meaning. At the end, we will provide a list of all the possible operations and languages in a table for a quick reference.
Closure Property in Automata Theory
The closure property in automata theory states the ability of a language class. It will remain within that class after specific operations are performed on its members. If specific operations are performed on languages within a particular class, the resulting language will also belong to that class.
Closure properties are crucial because they help us understand the limits and capabilities of different classes of languages and their corresponding automata.
We talked about the operations performed, but which operations?
- Union
- Intersection
- Complement
- Concatenation
- Kleene star and Kleene plus
- Reversal
The following table provides a brief overview of some of the important operations −
Operations | Descriptions |
---|---|
Kleene star | ∑* is a unary operator on the input symbols or strings, it provides an infinite set of all possible strings of all lengths over ∑, including null. |
Kleen Plus | ∑* is a unary operator on the input symbols or strings, it provides an infinite set of all possible strings of all lengths over ∑, excluding null. |
Complement | The complement of a language L is ∑*– L (with respect to an alphabet ∑ such that ∑* contains L) is. ∑* is surely regular, the complement of a regular language is always regular. |
Reverse Operator | Given language L, then reverse of it LR, if L is regular then the reverse is also regular. |
Union | Let L and M represent the languages of R and S, respectively, that are regular expressions. R + S is a regular expression with language (L U M) in that case. |
Intersection | It is a regular expression whose language is L intersecting M if L and M are the languages of regular expressions R and S, respectively. |
Set Difference Operator | If two languages L and M are regular, then L M represents strings in L but not in M. |
Homomorphism | It is a tricky operation. On an alphabet is a function which gives a string for each symbol in that alphabet is called Homomorphism. |
Inverse Homomorphism | Consider h be the homomorphism and the language is L whose alphabet is the output language of h. So h-1 (L) = {w | h(w) is in L}. |
Substitution | The substitution of a letter-to-language mapping, which is like string-to-language mapping. We can consider by identifying a singleton language say {x} to the tx. |
Left Quotient | The left quotient, or quotient of a word w in a language L, is Linguistically, Lw = {x ∈ Σ* | wx ∈ L}. The set of all strings x that you can choose any y from L2 and append to x to get something from L1 is the right quotient of L1 with L2. In other words, if y exists in L2 and xy is in L1, then x is in the quotient. |
There are some other operations but these are the basics and most useful ones. Here we will see a table of closure properties where we will cover some more operations for a quick reference.
Closure Properties Table
We are using some keywords for the languages, the following table is for reference −
Abbreviation | Language |
---|---|
REG | Regular Languages |
DCFL | Deterministic Context-Free Languages |
CFL | Context-Free Languages |
CSL | Context-Sensitive Languages |
RC | Recursive Languages |
RE | Recursively Enumerable Languages |
Operation and Closure Table
Let us see the operation and closure table. (Y: Yes or closed, N: No or not closed).
Operation | REG | DCFL | CFL | CSL | RC | RE |
---|---|---|---|---|---|---|
Union | Y | N | Y | Y | Y | Y |
Intersection | Y | N | N | Y | Y | Y |
Set difference | Y | N | N | Y | Y | N |
Complementation | Y | Y | N | Y | Y | N |
Intersection with a regular language | Y | Y | Y | Y | Y | Y |
Union with a regular language | Y | Y | Y | Y | Y | Y |
Left Difference with a regular language (L-regular) | Y | Y | Y | Y | Y | Y |
Right Difference with a regular language (regular-L) | Y | Y | N | Y | Y | N |
Concatenation | Y | N | Y | Y | Y | Y |
Kleene star | Y | N | Y | Y | Y | Y |
Kleene plus | Y | N | Y | Y | Y | Y |
Reversal | Y | N | Y | Y | Y | Y |
Epsilon-free homomorphism | Y | N | Y | Y | Y | Y |
Homomorphism | Y | N | Y | N | N | Y |
Inverse homomorphism | Y | Y | Y | Y | Y | Y |
Epsilon-free substitution | Y | N | Y | Y | Y | Y |
Substitution | N | N | Y | Y | Y | Y |
Right quotient with a regular language | Y | Y | Y | N | Y | Y |
Left quotient with a regular language | Y | Y | Y | N | Y | Y |
Subset | N | N | N | N | N | N |
Conclusion
Closure properties are one of the most important things in automata theory and languages. These properties not only serve as theoretical tools for understanding the limits and possibilities within formal language theory but also have practical implications in areas such as compiler design, text processing, and algorithm development.
In this chapter, we covered the concept of closure properties, some of the most important operations that are performed on languages and through a table we talked what language are closed under which operations. The regular language is closed under the most of the operations.