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Complete First-Order Theories

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Consistency and InconsistencyElementary Equivalence and Logical Indistinguishability→→Complete Theory and Consequence RelationsFinite Axiomatizability and Complete Theories+6 more
complete theory maximal consistency decidability Th(M)

Core Idea

A first-order theory T is complete if for every sentence σ, either T ⊢ σ or T ⊢ ¬σ. Equivalently, all models of T are elementarily equivalent. Complete theories are maximal consistent sets corresponding to the theories of single structures (Th(M)). Completeness is a strong restriction forcing model uniqueness up to elementary equivalence.

Explainer

You already know what elementary equivalence means: two structures are elementarily equivalent when no first-order sentence can tell them apart. A complete theory is precisely a theory that can only be satisfied by elementarily equivalent models — all its models look the same to first-order logic, even if they differ in size or internal structure. The two definitions (every sentence decided, all models elementarily equivalent) are two sides of the same coin, and understanding why they coincide is the core insight here.

Start from the deductive side. A theory T is a set of sentences closed under logical consequence. T is consistent if it does not prove a contradiction. Adding completeness means T has no "gaps" — for every sentence, T takes a stand. This is a maximality condition: you cannot add any new sentence to T without either making it inconsistent or finding it was already derivable. Such a theory is uniquely determined up to logical equivalence, and every model satisfying T must agree on the truth value of every sentence.

Now the semantic side. Given any structure M, its theory Th(M) — the set of all first-order sentences true in M — is automatically complete. Why? For any sentence σ, M either satisfies it or doesn't; so σ ∈ Th(M) or ¬σ ∈ Th(M). Every complete theory arises this way: it is the theory of some structure. Two structures have the same complete theory if and only if they are elementarily equivalent, so complete theories precisely classify structures up to first-order indistinguishability.

Completeness is a strong and useful property because it controls the diversity of models. An incomplete theory can have models with wildly different first-order properties — some satisfying σ, others satisfying ¬σ. A complete theory does not allow this: all models agree on every sentence. This is why completeness is linked to decidability. If a theory T is complete and axiomatizable (its axioms are recursively enumerable), then T is decidable: to check whether σ is a theorem, enumerate all proofs until you find a proof of σ or of ¬σ — one of them must exist, and the completeness guarantee says the search terminates. This connection drives much of the interest in identifying which natural theories are or are not complete.

Practice Questions 5 questions

Prerequisite Chain

Understanding Zero → The Number Zero → Counting to Five → Counting to 10 → Counting to 20 → Counting a Set of Objects Up to 20 → Cardinality: The Last Number Counted → Matching Numerals to Quantities → Subitizing Small Quantities → Addition Within 10 → Number Bonds to 10 → Addition Within 20 → Doubles and Near Doubles → Doubles Facts Within 10 → Near Doubles Facts Within 20 → Mental Math Strategies for Addition → Mental Math: Adding and Subtracting Tens → Addition Within 100 → Repeated Addition as Multiplication → Multiplication as Equal Groups → Multiplication: Arrays → Basic Multiplication Facts (0s, 1s, 2s, 5s, 10s) → Multiplication Facts Within 100 → Division as Equal Sharing → Division as Grouping (Measurement Division) → Division: Grouping (Repeated Subtraction) Model → Division: Fair Sharing Model → Division as Equal Sharing → Division as Grouping → Basic Division Facts → Division Facts Within 100 → Multiplication and Division Fact Families → Relationship Between Multiplication and Division → Division Facts as Inverse of Multiplication → Remainders and Quotients in Division → Division Word Problems → Multi-Step Word Problems → Solving Multi-Step Word Problems → Multiplication Word Problems → Division Word Problems → Introduction to Long Division → Factors and Multiples → Prime and Composite Numbers → Equivalent Fractions → Relating Fractions and Decimals → Decimal Place Value → Integers and the Number Line → Comparing and Ordering Integers → Absolute Value → Adding Integers → Subtracting Integers → Multiplying Integers → Introduction to Exponents → Order of Operations → Integer Order of Operations → Variable Expressions → The Distributive Property → Variables and Expressions Review → Introduction to Polynomials → Adding and Subtracting Polynomials → Multiplying Polynomials → Factorial → Permutations → Combinations → Counting Principles: Addition and Multiplication Rules → Introduction to Graph Theory → Propositional Logic Foundations → Logical Equivalences → Boolean Algebra → Introduction to Propositional Logic → Introduction to Predicate Logic (First-Order Logic) → First-Order Logic Syntax → Terms and Atomic Formulas in FOL → Variable Binding and Scope → Open and Closed Formulas in First-Order Logic → Variable Substitution and Capture-Avoidance in First-Order Logic → Quantifier Instantiation Rules in First-Order Proof Systems → Universal Quantification: Meaning and Scope → Free Variables and Bound Variables → Substitution and Instantiation in Predicate Logic → Terms and Atomic Formulas → Formulas and Well-Formed Expressions → Structures and Interpretations → Model Interpretation and Satisfaction → Interpretation, Truth, and Satisfaction of Formulas → Logical Consequence and Entailment → Satisfiability and Unsatisfiability → Consistency and Inconsistency of Theories → Consistency and Inconsistency → Complete First-Order Theories

Longest path: 90 steps · 511 total prerequisite topics

Prerequisites (2)

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