
- 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
Identity Rules for Regular Expression in Automata
Regular expressions (RE) are useful tools used in automata theory for pattern matching. Identities of regular expressions are relations that are always true for every regular expression. These identities help simplify and understand complex regular expressions.
In this chapter, we will highlight some rules which are known as identities rules in regular expressions and see some examples for a better understanding.
Regular Expression in Automata
To get the concept of identity rules, let us get a brief idea of RE or Regular Expressions. The regular expressions are the most efficient way to represent any language, used to check and match character combinations in strings. They are also known as Regular languages, and are used by the string searching algorithm to find operations on a string.
Identity Relations
An identity is a tautologically or true relation in mathematics, such as (a + b)2 = a2 + 2ab + b2. These identities can be used to prove other problems and are also true for every RE.
In this section, we will discuss identities related to RE, including those that are true for every RE.
Basic Identities
Identity Name | Rule | Description |
---|---|---|
Null Set Identity | ∅ + R = R + ∅ = R | ∅ + R = ∅∪R = R |
Null Set Multiplication Identity | ∅R = R∅ = ∅ | ∅R = ∅∩R = ∅ |
Empty String Identity | ΛR = RΛ = R | Concatenating the empty string with any string in results in the same string. |
Star of Empty String and Null Set | Λ* = Λ ∅* = Λ |
The star of the empty string is just the empty string repeated. |
Idempotent Law | R + R = R | Adding the same set to itself results in the same set. |
Star Multiplication Law | R* R* = R* | Repeating R any number of times is the same as repeating it any number of times. |
Concatenation Law | R* R = RR* | A string from R followed by zero or more repetitions of R is the same as zero or more repetitions of R followed by a string from R. |
Star of Star Law | (R* )* = R* | Repeating a repeated pattern any number of times is still just repeating the pattern any number of times. |
Empty String and Star | Λ + RR* = R* | An empty string or any repetition of R is the same as zero or more repetitions of R. |
Distributive Law | (P + Q)R = PR + QR | A string from P or Q followed by R is the same as a string from P followed by R or a string from Q followed by R. |
Examples of Regular Expression Identities
Let us see some examples and solutions that can be solved through these laws.
Question 1: Prove that (1 + (100)*) + (1 + (100)*)(0 + (10)*) (0 + (10)*)* = (10)* (0 + (10)*)*
Solution
Start with the left-hand side (LHS)
$$\mathrm{1 \:+\: (100)^{*}) \:+\: (1 \:+\: (100)^{*})(0 \:+\: (10)^{*}) (0 \:+\: (10)^{*})^{*}}$$
Apply the identity: Λ + RR* = R*
$$\mathrm{(1 \:+\: (100)^{*})(Λ \:+\: (0 \:+\: (10)^{*}) (0 \:+\: (10)^{*})^{*})}$$
Simplify using: Λ + RR* = R*
$$\mathrm{(1 \:+\: (100)^{*}) (0 \:+\: (10)^{*})^{*}}$$
Combine using distributive law −
$$\mathrm{1(0 \:+\: (10)^{*})^{*}}$$
So, the result is,
$$\mathrm{(10)^{*} (0 \:+\: (10)^{*})^{*}}$$
Thus, LHS equals the right-hand side (RHS).
Question 2: Prove that 10 + (1010)* [Λ + (1010)*] = 10 + (1010)*
Solution
Start with the left-hand side (LHS)
$$\mathrm{10 \:+\: (1010)^{*}\: [Λ \:+ \:(1010)^{*}]}$$
Apply the identity −
$$\mathrm{Λ \:+\: RR^{*} \:=\: R^{*}}$$
$$\mathrm{10 \:+\: (1010)^{*} \:+\: (1010)^{*}\: (1010)^{*}}$$
Simplify using
$$\mathrm{ΛR \:=\: R \:\:and\:\: RR \:=\: R}$$
$$\mathrm{10 \:+\: (1010)^{*}}$$
Thus, LHS equals the right-hand side (RHS).
Question 3: Prove that (PQ)* P = P(QP)*
Solution
Start with the left-hand side (LHS)
$$\mathrm{(PQ)^{*} \:P}$$
Expand (PQ)*
$$\mathrm{\{Λ, \:PQ,\: PQPQ,\: PQPQPQ,\: \dotso\}}$$P
Concatenate P with each element
$$\mathrm{\{P,\: PQP,\: PQPQP,\: PQPQPQP,\: \dotso\}}$$
Factor P,
$$\mathrm{P\{Λ,\: QP,\: QPQP,\: QPQPQP,\: \dotso\}}$$
Recognize the set,
$$\mathrm{P(QP)^{*}}$$
Thus, LHS equals the right-hand side (RHS).
Conclusion
In this chapter, we explained one of the most important concept in automata theory, i.e., the concept of regular expressions. Regular expressions are used to write expressions or languages in such a form that can be expanded. There are some rules associated with regular expressions that we explained in this chapter with the help of a set of examples.