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Extension Lemma for Embeddings

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Diagram and Expansion by ConstantsExistential Closure Under Homomorphisms+1 moreAmalgamation: Constructing Common Extensions
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Core Idea

The extension lemma states that a partial embedding f: A → M (where A ⊂ M) can be extended to an embedding of a larger set into a sufficiently large structure. This is proved using the compactness theorem applied to the diagram of M with constants for elements of A. Extension lemmas are foundational for all amalgamation constructions.

How It's Best Learned

Prove the extension lemma from compactness for a specific example: extending an embedding of Q into itself to an embedding of an algebraic extension.

Explainer

You already know the diagram of a structure M: the set of all atomic and negated-atomic sentences true in M when constants are introduced for each element. You also know that an embedding f: A → M is an injective map that preserves the truth of atomic formulas — it is a way of copying A faithfully into M. The extension lemma asks: given a partial embedding of a subset A of M into another structure N, can you extend it to embed a *larger* subset of M into some extension of N? The answer is yes, provided you choose N generously enough, and the proof uses compactness in a clean and instructive way.

Here is the argument. Suppose f: A → N is an embedding of A (a subset of M) into N. You want to extend f to include a new element m ∈ M \ A. Introduce a new constant symbol c for m. Consider the diagram of M expanded by A-constants: all atomic and negated-atomic sentences about M using names for elements of A. Now form the set T of sentences that includes the existential consequences of this diagram — specifically, the type of m over A, expressing all the atomic relationships between m and the named elements of A. Ask whether T ∪ Th(N) is satisfiable. By the assumption that f embeds A into N, N already satisfies all the conditions on the A-constants. The new type of m over A consists of finitely supported conditions (by compactness), each of which is individually satisfiable in some extension of N. Compactness then guarantees a model of the whole set, giving an extension N' of N that contains an element playing the role of m.

The lemma's power comes from iteration: you can extend one element at a time, and a back-and-forth argument (alternating extensions from each side) builds isomorphisms between models. This is the engine behind proving that two countable homogeneous structures satisfying the same theory are isomorphic — each partial isomorphism can be extended because the extension lemma applies at every step. The result is also the foundation for amalgamation constructions: given two structures that each extend a common base A, you can amalgamate them into a single structure containing both, by applying the extension lemma to the pushout diagram.

Think of the extension lemma as the "local-to-global" principle of model theory. Globally building a large embedding or isomorphism is hard to guarantee directly. But locally — one element at a time — compactness ensures you can always take one more step. The art of model-theoretic construction is arranging these local steps into a coherent transfinite or back-and-forth procedure that reaches the globally desired structure.

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 InconsistencyBasic Model TheoryCompactness Theorem in Model TheoryExtension Lemma for Embeddings

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