A topic in the Open Knowledge Graph — a free, open map of 15,290 topics and the order to learn them in.

Complete First-Order Theories

Graduate Depth 89 in the knowledge graph I know this Set as goal
46topics build on this
511prerequisites beneath it
See this on the map →
Consistency and InconsistencyElementary Equivalence and Logical IndistinguishabilityComplete 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 ZeroThe Number ZeroCounting to FiveCounting to 10Counting to 20Counting a Set of Objects Up to 20Cardinality: The Last Number CountedMatching Numerals to QuantitiesSubitizing Small QuantitiesAddition Within 10Number Bonds to 10Addition Within 20Doubles and Near DoublesDoubles Facts Within 10Near Doubles Facts Within 20Mental Math Strategies for AdditionMental Math: Adding and Subtracting TensAddition Within 100Repeated Addition as MultiplicationMultiplication as Equal GroupsMultiplication: ArraysBasic Multiplication Facts (0s, 1s, 2s, 5s, 10s)Multiplication Facts Within 100Division as Equal SharingDivision as Grouping (Measurement Division)Division: Grouping (Repeated Subtraction) ModelDivision: Fair Sharing ModelDivision as Equal SharingDivision as GroupingBasic Division FactsDivision Facts Within 100Multiplication and Division Fact FamiliesRelationship Between Multiplication and DivisionDivision Facts as Inverse of MultiplicationRemainders and Quotients in DivisionDivision Word ProblemsMulti-Step Word ProblemsSolving Multi-Step Word ProblemsMultiplication Word ProblemsDivision Word ProblemsIntroduction to Long DivisionFactors and MultiplesPrime and Composite NumbersEquivalent FractionsRelating Fractions and DecimalsDecimal Place ValueIntegers and the Number LineComparing and Ordering IntegersAbsolute ValueAdding IntegersSubtracting IntegersMultiplying IntegersIntroduction to ExponentsOrder of OperationsInteger Order of OperationsVariable ExpressionsThe Distributive PropertyVariables and Expressions ReviewIntroduction to PolynomialsAdding and Subtracting PolynomialsMultiplying PolynomialsFactorialPermutationsCombinationsCounting Principles: Addition and Multiplication RulesIntroduction to Graph TheoryPropositional Logic FoundationsLogical EquivalencesBoolean AlgebraIntroduction to Propositional LogicIntroduction to Predicate Logic (First-Order Logic)First-Order Logic SyntaxTerms and Atomic Formulas in FOLVariable Binding and ScopeOpen and Closed Formulas in First-Order LogicVariable Substitution and Capture-Avoidance in First-Order LogicQuantifier Instantiation Rules in First-Order Proof SystemsUniversal Quantification: Meaning and ScopeFree Variables and Bound VariablesSubstitution and Instantiation in Predicate LogicTerms and Atomic FormulasFormulas and Well-Formed ExpressionsStructures and InterpretationsModel Interpretation and SatisfactionInterpretation, Truth, and Satisfaction of FormulasLogical Consequence and EntailmentSatisfiability and UnsatisfiabilityConsistency and Inconsistency of TheoriesConsistency and InconsistencyComplete First-Order Theories

Longest path: 90 steps · 511 total prerequisite topics

Prerequisites (2)

Leads To (8)