
- Automata Theory Tutorial
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- Automata Theory - Getting Started
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- 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
- Automata Theory Resources
- Automata - Quick Guide
- Automata - Resources
- Automata - Discussion
Church's Thesis for Turing Machine
In this chapter, we will cover an important concept in Automata Theory, the Church's Thesis, which is sometimes also called as the Church-Turing Thesis. This is the fundamental concept based on which a class of problems have been introduced including decidability problems, etc.
What is Computability?
Through this Church's Thesis, we will learn what we mean by the term "computable". In this chapter, we will start discussing its origins and the concept in detail for a better understanding.
The term "computable" was a fuzzy concept, with no proper definition or standard before. Mathematicians and logicians Alonzo Church and Alan Turing gave an idea about this terminology, to find a way to explain what could or could not be computed.
Alonzo Church and Lambda Calculus
Alonzo Church was an American mathematician and logician who made significant contributions to mathematical logic and the foundations of theoretical computer science. He introduced a formal system called the Lambda Calculus, which is a mathematical model of computation.
Church's idea was that if something could be computed using Lambda Calculus, then it could be considered "computable".
Alan Turing and Turing Machines
Turing developed the concept of Turing machine, which is a theoretical device that manipulates symbols on a strip of tape according to a set of rules. He proposed that if something could be computed by a Turing machine, then it is "computable."
Alan Turing was a student of Alonzo Church. Through Lambda Calculus and Turing machines both Church and Turing arrived at the same conclusion: anything that could be computed by either of these models is what we call "computable."
The Church-Turing Thesis
The Church-Turing Thesis states that any function that can be computed algorithmically can be computed by a Turing machine. This thesis ties together the work of Church and Turing, providing a foundation for the modern understanding of computation.
The thesis implies that the Turing machine is a universal model of computation, meaning that anything that can be computed, in theory, can be computed by a Turing machine.
Importance of Church-Turing Thesis
The Church-Turing Thesis is a hypothesis based on b evidence, providing a standard for defining "computable" in computer science. It defines "algorithmically computable" as something that can be computed by a Turing machine.
Variations of Turing Machines
The Church-Turing Thesis focuses on the potential of adding specific features to Turing machines to enhance their computational capabilities.
Variation | Description | Computational Power |
---|---|---|
Multiple Tapes | More than one tape for input, output, and working memory. | Equivalent to a single-tape Turing machine. |
Infinite Tape on Both Ends | Tape extends infinitely in both directions. | Equivalent to a single-tape Turing machine. |
Larger Alphabet | More symbols beyond 0s and 1s. | Equivalent to a binary alphabet Turing machine. |
Stationary Tape Head | Tape head can remain in the same position. | Equivalent to a Turing machine with a moving tape head. |
Non-Determinism | Multiple possible outcomes from a single operation. | Equivalent to a deterministic Turing machine. |
Equivalence of Turing Machines and Lambda Calculus
Lambda Calculus are little variation of Turing Machine, although they operate in different ways, they are both equally powerful in terms of what they can compute. This equivalence forms the basis of the Church-Turing Thesis, which tells us that anything that can be computed using an algorithm can be computed by a Turing machine.
Decidable and Recognizable Languages
One of the most important concepts is Decidability problem. Through the Church-Turing Thesis that it can conclude that the problem Turing machines can recognize or decide. The languages can be categorized into decidable languages and Turing-recognizable languages.
Decidable Languages
A language is considered decidable if there is a Turing machine that will always halt and give a yes or no answer for every string in the language. If a string belongs to the language, the machine accepts it and halts. If the string does not belong to the language, the machine rejects it and halts.
Turing-Recognizable Languages
A language is considered Turing-recognizable (also known as recursively enumerable) if there is a Turing machine that will halt and accept a string if the string belongs to the language. However, if the string does not belong to the language, the Turing machine may either reject it and halt or go into an infinite loop and never halt.
Difference between Decidable and Recognizable Languages
The key difference between decidable and Turing-recognizable languages is in the halting behaviour of the Turing machine. For decidable languages, the Turing machine always halts, whether the string is in the language or not. For Turing-recognizable languages, the machine may not halt if the string is not in the language.
Undecidable Languages
Beyond decidable and Turing-recognizable languages, there are undecidable languages. For these languages, no Turing machine can decide whether a string belongs to the language because the machine never halts for some inputs. These languages lie outside the scope of what can be computed by any Turing machine.
Conclusion
In this chapter, we presented the basic concept of Church-Turing Thesis. The Lambda Calculus and the Turing Machines are equivalent. It defines what we mean by "computable" and establishes the Turing machine as the standard model of computation.