Incompleteness and Undecidability

Incompleteness and Undecidability Unit 4 – Peano Arithmetic & Recursive Functions

Peano arithmetic and recursive functions form the foundation of mathematical logic and computability theory. These concepts formalize natural numbers and define computable functions, enabling rigorous study of mathematical structures and algorithms. From Peano axioms to primitive recursive functions and beyond, this unit explores the building blocks of formal arithmetic. It delves into the power and limitations of recursive definitions, showcasing their applications in mathematics and computer science.

Key Concepts and Definitions

  • Peano arithmetic formalizes the natural numbers and their properties using a set of axioms
  • Recursive functions defined in terms of themselves, enabling computation over natural numbers
  • Primitive recursive functions form a subset of total recursive functions, built using specific rules
  • μ\mu-recursive functions extend primitive recursive functions by allowing unbounded search
  • Ackermann function serves as an example of a total recursive function that is not primitive recursive
  • Church-Turing thesis states that any effectively calculable function is recursive
  • Gödel numbering assigns unique natural numbers to mathematical objects, enabling meta-mathematics
  • Decidability refers to the existence of an effective method to determine membership in a set

Peano Axioms Explained

  • Peano axioms consist of nine axioms that define the natural numbers and their properties
  • First axiom asserts the existence of a natural number 0
  • Second axiom defines the successor function S(n)S(n), which returns the next natural number
  • Third axiom states that 0 is not the successor of any natural number
  • Fourth axiom asserts that if S(a)=S(b)S(a) = S(b), then a=ba = b (injectivity of the successor function)
  • Fifth through eighth axioms define the properties of addition and multiplication
  • Ninth axiom is the induction axiom, enabling proofs by mathematical induction
    • Induction axiom: If a property holds for 0 and, whenever it holds for a natural number nn, it also holds for S(n)S(n), then the property holds for all natural numbers

Building Natural Numbers

  • Natural numbers are constructed using the Peano axioms, starting with 0 and the successor function
  • 0 is the first natural number, defined by the first axiom
  • Successive natural numbers are obtained by repeatedly applying the successor function: S(0),S(S(0)),S(S(S(0))),S(0), S(S(0)), S(S(S(0))), \ldots
  • The natural number 1 is defined as S(0)S(0), 2 as S(S(0))S(S(0)), 3 as S(S(S(0)))S(S(S(0))), and so on
  • Addition of natural numbers is defined recursively using the successor function
    • a+0=aa + 0 = a
    • a+S(b)=S(a+b)a + S(b) = S(a + b)
  • Multiplication of natural numbers is also defined recursively using addition
    • a0=0a \cdot 0 = 0
    • aS(b)=a+(ab)a \cdot S(b) = a + (a \cdot b)

Introduction to Recursive Functions

  • Recursive functions are defined in terms of themselves, enabling computation over natural numbers
  • Recursive definitions consist of one or more base cases and one or more recursive cases
  • Base cases specify the function's value for certain inputs without recursion
  • Recursive cases define the function's value in terms of the function itself applied to smaller inputs
  • Recursive functions can be unary (one argument), binary (two arguments), or n-ary (n arguments)
  • Examples of recursive functions include addition, multiplication, exponentiation, and factorial
    • Factorial function: 0!=10! = 1 (base case), n!=n(n1)!n! = n \cdot (n-1)! for n>0n > 0 (recursive case)

Primitive Recursive Functions

  • Primitive recursive functions are a subset of total recursive functions built using specific rules
  • Basic primitive recursive functions include the zero function, successor function, and projection functions
  • More complex primitive recursive functions are built using composition and primitive recursion
  • Composition combines existing primitive recursive functions to create new ones
    • If ff and gg are primitive recursive, then h(x1,,xn)=f(g(x1,,xn))h(x_1, \ldots, x_n) = f(g(x_1, \ldots, x_n)) is also primitive recursive
  • Primitive recursion defines a function using recursion and previously defined primitive recursive functions
    • If ff and gg are primitive recursive, then hh defined by h(0,x)=f(x)h(0, \vec{x}) = f(\vec{x}) and h(S(y),x)=g(y,h(y,x),x)h(S(y), \vec{x}) = g(y, h(y, \vec{x}), \vec{x}) is also primitive recursive
  • Examples of primitive recursive functions include addition, multiplication, exponentiation, and factorial

General Recursive Functions

  • General recursive functions, also known as μ\mu-recursive functions, extend primitive recursive functions
  • μ\mu-recursion allows the definition of functions using unbounded search (minimization)
  • The μ\mu operator finds the least natural number satisfying a given condition
    • μy.f(x1,,xn,y)=0\mu y . f(x_1, \ldots, x_n, y) = 0 denotes the least yy such that f(x1,,xn,y)=0f(x_1, \ldots, x_n, y) = 0
  • Ackermann function is an example of a total recursive function that is not primitive recursive
    • A(0,n)=n+1A(0, n) = n + 1
    • A(m+1,0)=A(m,1)A(m + 1, 0) = A(m, 1)
    • A(m+1,n+1)=A(m,A(m+1,n))A(m + 1, n + 1) = A(m, A(m + 1, n))
  • General recursive functions are equivalent to the functions computable by Turing machines (Church-Turing thesis)

Applications and Examples

  • Recursive functions have numerous applications in mathematics, computer science, and logic
  • In number theory, recursive functions define arithmetic operations and number-theoretic functions
    • Fibonacci sequence: F(0)=0F(0) = 0, F(1)=1F(1) = 1, F(n)=F(n1)+F(n2)F(n) = F(n-1) + F(n-2) for n>1n > 1
  • In computer science, recursive functions are used to implement algorithms and data structures
    • Merge sort: Recursively divide the list into halves, sort each half, and merge the sorted halves
  • Recursive functions are essential for defining and studying formal systems and their properties
    • Gödel numbering assigns unique natural numbers to formulas and proofs, enabling meta-mathematics
  • Recursive functions can model and analyze the behavior of complex systems and processes
    • Population growth models: P(0)=P0P(0) = P_0 (initial population), P(t+1)=rP(t)P(t+1) = r \cdot P(t) (growth rate rr)

Limitations and Extensions

  • Not all total functions on natural numbers are primitive recursive (e.g., Ackermann function)
  • μ\mu-recursive functions extend primitive recursive functions but may not always terminate
  • Some functions, like the busy beaver function, are not computable by any recursive function
  • Higher-order recursive functions allow recursion on functions themselves, not just natural numbers
  • Recursive functionals are higher-order functions that take recursive functions as arguments
  • Transfinite recursion extends recursive definitions to ordinals beyond the natural numbers
  • Recursion theory studies the properties and limitations of recursive functions and related concepts
    • Recursively enumerable sets are the domains of partial recursive functions
    • Recursive sets are both recursively enumerable and have recursively enumerable complements


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© 2024 Fiveable Inc. All rights reserved.
AP® and SAT® are trademarks registered by the College Board, which is not affiliated with, and does not endorse this website.