--- title: "Complete set of invariants" chunk: 1/1 source: "https://en.wikipedia.org/wiki/Complete_set_of_invariants" category: "reference" tags: "science, encyclopedia" date_saved: "2026-05-05T07:23:36.291616+00:00" instance: "kb-cron" --- In mathematics, a complete set of invariants for a classification problem is a collection of maps f i : X → Y i {\displaystyle f_{i}:X\to Y_{i}} (where X {\displaystyle X} is the collection of objects being classified, up to some equivalence relation ∼ {\displaystyle \sim } , and the Y i {\displaystyle Y_{i}} are some sets), such that x ∼ x ′ {\displaystyle x\sim x'} if and only if f i ( x ) = f i ( x ′ ) {\displaystyle f_{i}(x)=f_{i}(x')} for all i {\displaystyle i} . In words, such that two objects are equivalent if and only if all invariants are equal. Symbolically, a complete set of invariants is a collection of maps such that ( ∏ f i ) : ( X / ∼ ) → ( ∏ Y i ) {\displaystyle \left(\prod f_{i}\right):(X/\sim )\to \left(\prod Y_{i}\right)} is injective. As invariants are, by definition, equal on equivalent objects, equality of invariants is a necessary condition for equivalence; a complete set of invariants is a set such that equality of these is also sufficient for equivalence. In the context of a group action, this may be stated as: invariants are functions of coinvariants (equivalence classes, orbits), and a complete set of invariants characterizes the coinvariants (is a set of defining equations for the coinvariants). == Examples == In the classification of two-dimensional closed manifolds, Euler characteristic (or genus) and orientability are a complete set of invariants. The Jordan normal form of a matrix is a complete invariant for matrices over a field up to conjugation (similarity), but eigenvalues (with multiplicities) are not. The elementary divisors are a complete invariant for matrices over a principal ideal domain up to conjugation (or for finitely generated modules over a PID up to isomorphism). The signature and rank of a matrix are a complete set of invariants for real symmetric matrices up to congruence (or for real quadratic forms up to equivalence), by Sylvester's law of inertia. == Realizability of invariants == A complete set of invariants does not immediately yield a classification theorem: not all combinations of invariants may be realized. Symbolically, one must also determine the image of ∏ f i : X → ∏ Y i . {\displaystyle \prod f_{i}:X\to \prod Y_{i}.} == References ==