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Basic Model Theory

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First-Order Logic Semantics and StructuresFunctions as Sets and Their Characteristics+8 more→→Absolute Formulas and Model-Theoretic AbsolutenessAmalgamation Property and Joint Embedding Property+9 more
model-theory theory elementary-equivalence categorical complete-theory

Core Idea

Model theory studies the relationship between formal theories and the structures that satisfy them. A theory T is a set of sentences closed under logical consequence; a model of T is a structure where every sentence in T is true. Two structures are elementarily equivalent if they satisfy exactly the same first-order sentences. A theory is complete if for every sentence φ, either φ or ¬φ is in the theory; it is categorical in cardinality κ if all its models of cardinality κ are isomorphic. These concepts help characterize what first-order logic can and cannot express.

How It's Best Learned

Work through examples of complete theories (dense linear orders without endpoints, algebraically closed fields) and incomplete theories (the theory of groups). Verify elementary equivalence by constructing back-and-forth systems.

Common Misconceptions

Explainer

From first-order semantics you know how to evaluate a first-order sentence in a given structure M: interpret each constant, function symbol, and relation symbol in M, then check whether the sentence comes out true. Model theory is the systematic study of the relationship between theories — sets of sentences — and the structures that satisfy them.

A theory T is formally a set of first-order sentences closed under logical consequence: whenever T ⊨ φ (every model of T satisfies φ), we require φ ∈ T. A structure M is a model of T if every sentence in T is true in M. The collection of all sentences true in M is its complete theory Th(M) — by definition, a complete theory. Two structures M and N are elementarily equivalent (M ≡ N) if Th(M) = Th(N): they agree on every first-order sentence, even though they may look quite different as structures. For example, the rationals ℚ and the reals ℝ, as ordered fields, are not isomorphic, but they are elementarily equivalent as dense linear orders without endpoints.

A critical distinction: elementary equivalence is much weaker than isomorphism. Isomorphic structures are always elementarily equivalent, but the converse fails dramatically. First-order logic simply cannot distinguish many non-isomorphic structures: for instance, any two algebraically closed fields of the same characteristic and the same uncountable cardinality are isomorphic, but two ACFs of different cardinalities satisfy the same sentences. This gap between "syntactically indistinguishable" and "structurally identical" is one of the central themes of model theory.

A theory T is complete if for every sentence φ, either φ ∈ T or ¬φ ∈ T — the theory has an opinion on every question expressible in the language. Note that completeness is about sentences, not about uniqueness of models: a complete theory can still have many non-isomorphic models, one for each infinite cardinality. The theory DLO (dense linear orders without endpoints) is complete, yet ℚ and ℝ are both models and are non-isomorphic. What completeness buys you is that any two models agree on all first-order sentences — they are elementarily equivalent — even if they are not isomorphic.

Categoricity in cardinality κ goes further: T is κ-categorical if all models of T of cardinality κ are isomorphic to each other. This pins down the structure at size κ completely. The Łoś–Vaught test is a powerful tool: if T is consistent with no finite models and is κ-categorical for some infinite κ, then T is complete. This is how we prove DLO is complete — it is ℵ₀-categorical (every countable dense linear order without endpoints is isomorphic to ℚ) and has no finite models.

Practice Questions 3 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 → Basic Model Theory

Longest path: 90 steps · 455 total prerequisite topics

Prerequisites (10)

Leads To (11)