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ArticlePublished 7 Aug 20262 min readBy Kevin Jogin

Connections with Model Theory

First-Order Structures and Interpretation

Structures as the semantic counterpart of languages: sets carrying interpretations of every function, constant and relation symbol.

Category Engineering / MathematicsSource V.1Pages 218-221Reading 2 minReviewed 2026-08-07

Learning objectives

Structures

Definition — Structure

For a language L, a structure A consists of a non-empty universe A, an operation fAAn → A for each n-ary function symbol, an element cA ∈ A for each constant symbol, and a relation rA ⊆ An for each n-ary relation symbol.

Algebras are the relation-free structures

A structure whose language has no relation symbols is exactly an algebra. So Chapter V's structures generalise Chapters I–IV's algebras by permitting relations.

Structures that are not algebras
StructureRelations
Ordered setThe order relation ≤
GraphThe adjacency relation
Ordered field≤, alongside the field operations
Model of set theoryThe membership relation ∈
Ordered group≤, alongside the group operations

Substructures

Definition — Substructure

A subset B ⊆ A closed under all operations and containing all constants, with relations restricted: rB = rA ∩ Bn.

Relations restrict rather than being freely chosen. This is what makes substructure the right notion — the same tuples are related in B as were related in A.

Substructure is not elementary substructure

A substructure agrees with the ambient structure on atomic formulas only. Agreement on all formulas is the much stronger notion of elementary substructure, treated two pages on.

Reducts and expansions

Definition — Reduct

Given a structure for a language L and a sublanguage L′, the L′-reduct forgets the interpretations of symbols not in L′.

Definition — Expansion

The reverse: adding interpretations for new symbols on the same universe.

Ordered fieldFull structure
Field reductForget ≤
Additive group reductForget multiplication too
Expansion by constantsName every element with a new constant symbol
Expansion by constants

Naming every element of A with a new constant is the standard device underlying the compactness proofs, the Tarski–Vaught test, and the connection between polynomials and terms. It is the model-theoretic counterpart of the polynomial/term distinction from Chapter II.

Homomorphisms of structures

A homomorphism between structures must preserve operations and relations: ⟨a1,…⟩ ∈ rA implies ⟨α(a1),…⟩ ∈ rB.

Map types for structures
MapCondition on relations
HomomorphismPreserves — one direction only
Strong homomorphismPreserves and reflects
EmbeddingInjective, preserves and reflects
IsomorphismBijective embedding
Elementary embeddingPreserves all first-order formulas
Why relations complicate the picture

For algebras, a bijective homomorphism is automatically an isomorphism. For structures this fails: a bijective homomorphism may relate strictly fewer tuples in the source than in the target. Reflection must be required separately.

Frequently asked questions

Is the empty structure allowed?

Not in this development — universes are non-empty, following the convention for algebras. Some logic texts allow empty structures at the cost of complicating the quantifier rules.

Does every structure have substructures?

It has itself. Whether it has proper ones depends on the language: if constants generate the whole universe, the only substructure is the structure itself.

Source. S. Burris and H. P. Sankappanavar, A Course in Universal Algebra, The Millennium Edition — a corrected re-typesetting of Springer-Verlag Graduate Texts in Mathematics 78 (1981). Section V.1, book pages 218-221.

This page is an original exposition prepared for the KEVOS® knowledge library. It restates and reorganises mathematical results; it is not a reproduction of the source text.

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