Computability Theory

A branch of mathematical logic that studies which problems can be solved by algorithmic means, focusing on the fundamental limits of computation and the classification of computational problems.

Computability Theory

Computability theory, also known as recursion theory, explores the fundamental boundaries of mechanical computation and algorithmic problem-solving. Emerging from the foundations of Mathematical Logic, it addresses the central question: "What can be computed?"

Historical Foundations

Origins

Key Historical Problems

  1. Entscheidungsproblem
  2. Halting Problem
  3. Word Problem

Core Concepts

Computability Models

  1. Turing Machines

  2. Lambda Calculus

  3. Register Machines

Fundamental Results

The Church-Turing Thesis

Undecidability

Classification of Problems

Decidability Hierarchy

  1. Decidable Problems

  2. Undecidable Problems

Degrees of Unsolvability

Theoretical Tools

Reduction Methods

Formal Systems

Applications

Computer Science

Mathematics

Artificial Intelligence

Modern Developments

Contemporary Research Areas

  1. Algorithmic Randomness
  2. Computable Analysis
  3. Quantum Computability

Emerging Applications

Connections to Other Fields

Mathematical Logic

Computer Science

Future Directions

Open Problems

  1. P vs NP Problem
  2. Degree Structure
  3. Randomness Definitions

New Frontiers

See Also