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Complete Theory and Consequence Relations

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Complete First-Order TheoriesLogical Consequence and Entailment+1 moreVaught's Theorem on Number of Countable Models
complete-theory Th(M) consequence deduction

Core Idea

The complete theory Th(M) of a structure M is the set of all first-order sentences true in M. Every sentence is either in Th(M) or its negation is—this ensures completeness. Th(M) determines which other structures satisfy the same theory and provides a canonical object for studying M's first-order properties.

How It's Best Learned

Compute Th(M) for concrete structures: what sentences are in Th(Q, <)? What about Th(Z, <)? Notice how different structures can have the same complete theory.

Explainer

From your study of model instantiation and logical consequence, you know that a structure M assigns interpretations to the symbols of a language — domains, relations, functions, constants — and that a sentence φ is true or false in M according to these interpretations. The complete theory Th(M) of a structure M is simply the set of all sentences true in M: Th(M) = {φ : M ⊨ φ}. Every sentence is either in Th(M) (it is true in M) or its negation is (φ is false in M, so ¬φ is true). This totality — no sentence left undecided — is exactly what "complete" means.

Think of Th(M) as the complete first-order portrait of M. The integers (ℤ, <) satisfy "every element has a successor" and "there is no least element"; the rationals (ℚ, <) satisfy both of these and also "between any two elements there is another." These are different sentences with different truth values in ℤ and ℚ, so Th(ℤ, <) ≠ Th(ℚ, <). In contrast, any two dense linear orders without endpoints — like ℚ and the irrational numbers — satisfy exactly the same first-order sentences, so they have the same complete theory. This is not obvious from the structures themselves (ℚ and the irrationals look very different) but follows from Cantor's back-and-forth argument, which shows any two countable dense linear orders without endpoints are isomorphic.

The consequence relation connects to Th(M) in a precise way. A sentence φ is a logical consequence of Th(M) — written Th(M) ⊨ φ — if and only if φ is already in Th(M). Since Th(M) is complete, there is no ambiguity: every sentence is settled. For a weaker theory T (a set of axioms not derived from a single structure), T is called complete if no sentence is left undecided by T — that is, if T ⊨ φ or T ⊨ ¬φ for every sentence φ. An axiom system that happens to pin down a single structure up to elementary equivalence will have Th(M) as its unique complete extension, which is the goal of axiomatizing a structure.

The key application is elementary equivalence: two structures M and N are elementarily equivalent if Th(M) = Th(N) — they satisfy exactly the same first-order sentences. Elementary equivalence is coarser than isomorphism (isomorphic structures are always elementarily equivalent, but not vice versa). The rationals and a non-standard dense linear order without endpoints are elementarily equivalent but not isomorphic. Th(M) thus partitions all structures into equivalence classes, and model theory studies what first-order logic can and cannot distinguish. Understanding Th(M) as an object — what axioms generate it, how it behaves under extensions, whether it is decidable — is the foundation for all deeper model-theoretic investigation.

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 TheoriesComplete Theory and Consequence Relations

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